import freqtrade.vendor.qtpylib.indicators as qtpylib
import numpy as np
import talib.abstract as ta
from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import (
    merge_informative_pair,
    DecimalParameter,
    IntParameter,
    CategoricalParameter,
)
from pandas import DataFrame, Series
from functools import reduce
from freqtrade.persistence import Trade
from datetime import datetime, timedelta
from technical.indicators import dema


class nfl(IStrategy):
    INTERFACE_VERSION = 3

    minimal_roi = {"0": 10}
    stoploss = -0.99
    can_short = True

    trailing_stop = True
    trailing_only_offset_is_reached = True
    trailing_stop_positive = 0.005
    trailing_stop_positive_offset = 0.03
    use_custom_stoploss = False

    timeframe = "5m"
    inf_1h = "1h"

    process_only_new_candles = True

    use_exit_signal = True
    exit_profit_only = False
    ignore_roi_if_entry_signal = True

    startup_candle_count: int = 400

    order_types = {
        "entry": "limit",
        "exit": "limit",
        "trailing_stop_loss": "limit",
        "stoploss": "limit",
        "stoploss_on_exchange": False,
    }

    buy_params = {
        "buy_condition_1_enable": True,
        "buy_condition_2_enable": True,
        "buy_condition_3_enable": True,
        "buy_condition_4_enable": True,
        "buy_condition_5_enable": True,
        "buy_condition_6_enable": True,
        "buy_condition_7_enable": True,
        "buy_condition_8_enable": True,
        "buy_condition_9_enable": True,
        "buy_condition_10_enable": True,
        "buy_condition_11_enable": True,
        "buy_condition_12_enable": True,
        "buy_condition_13_enable": True,
        "buy_condition_14_enable": True,
        "buy_condition_15_enable": True,
        "buy_condition_16_enable": True,
        "buy_condition_17_enable": True,
        "buy_condition_18_enable": True,
        "buy_condition_19_enable": True,
        "buy_condition_20_enable": True,
        "buy_condition_21_enable": True,
        "buy_condition_22_enable": True,
        "buy_condition_23_enable": True,
        "buy_condition_24_enable": True,
        "buy_condition_25_enable": True,
        "buy_condition_26_enable": True,
    }

    sell_params = {
        "sell_condition_1_enable": True,
        "sell_condition_2_enable": True,
        "sell_condition_3_enable": True,
        "sell_condition_4_enable": True,
        "sell_condition_5_enable": True,
        "sell_condition_6_enable": True,
        "sell_condition_7_enable": True,
        "sell_condition_8_enable": True,
    }

    buy_condition_1_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_01_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_01_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="26", space="buy", optimize=True, load=True
    )
    buy_01_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_01_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="100", space="buy", optimize=True, load=True
    )
    buy_01_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_01_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_01_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_01_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_01_protection__sma200_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_01_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="28",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_01_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_01_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_01_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_01_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="80", space="buy", optimize=True, load=True
    )
    buy_01_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_01_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="70", space="buy", optimize=True, load=True
    )
    buy_01_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_2_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_02_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_02_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_02_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_02_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_02_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_02_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_02_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_02_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="20", space="buy", optimize=True, load=True
    )
    buy_02_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_02_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_02_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_02_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_02_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_02_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_02_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_02_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_02_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_condition_3_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_03_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_03_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_03_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_03_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_03_protection__ema_fast = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_03_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="100", space="buy", optimize=True, load=True
    )
    buy_03_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_03_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="100", space="buy", optimize=True, load=True
    )
    buy_03_protection__safe_dips = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_03_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_03_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_03_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="100", space="buy", optimize=True, load=True
    )
    buy_03_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="36", space="buy", optimize=True, load=True
    )
    buy_03_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_03_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_03_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_03_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_condition_4_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_04_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_04_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_04_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_04_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_04_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_04_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_04_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_04_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_04_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_04_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="40", space="buy", optimize=True, load=True
    )
    buy_04_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_04_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="110", space="buy", optimize=True, load=True
    )
    buy_04_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="48", space="buy", optimize=True, load=True
    )
    buy_04_protection__sma200_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_04_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_04_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_04_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="20",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_condition_5_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_05_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_05_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="100",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_05_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_05_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_05_protection__ema_fast = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_05_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="100", space="buy", optimize=True, load=True
    )
    buy_05_protection__ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_05_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_05_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_05_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="100", space="buy", optimize=True, load=True
    )
    buy_05_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_05_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="20", space="buy", optimize=True, load=True
    )
    buy_05_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="36", space="buy", optimize=True, load=True
    )
    buy_05_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_05_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_05_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_05_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_condition_6_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_06_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_06_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_06_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_06_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="100", space="buy", optimize=True, load=True
    )
    buy_06_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_06_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_06_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_06_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_06_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_06_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_06_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_06_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_06_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_06_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_06_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_06_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="20", space="buy", optimize=True, load=True
    )
    buy_06_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="36", space="buy", optimize=True, load=True
    )
    buy_condition_7_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_07_protection__ema_fast = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_07_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="100", space="buy", optimize=True, load=True
    )
    buy_07_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_07_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="12", space="buy", optimize=True, load=True
    )
    buy_07_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_07_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_07_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_07_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_07_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_07_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_07_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_07_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_07_protection__safe_dips = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_07_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_07_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_07_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_07_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_8_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_08_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_08_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_08_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_08_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="12", space="buy", optimize=True, load=True
    )
    buy_08_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_08_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_08_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_08_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_08_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_08_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_08_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_08_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_08_protection__safe_dips = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_08_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="100", space="buy", optimize=True, load=True
    )
    buy_08_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_08_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="120", space="buy", optimize=True, load=True
    )
    buy_08_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_9_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_09_protection__ema_fast = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_09_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="100", space="buy", optimize=True, load=True
    )
    buy_09_protection__ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_09_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_09_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_09_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_09_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_09_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_09_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_09_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_09_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_09_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_09_protection__safe_dips = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_09_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_09_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_09_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_09_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_10_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_10_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_10_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_10_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_10_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_10_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_10_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_10_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_10_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_10_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_10_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_10_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_10_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="24",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_10_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_10_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="100", space="buy", optimize=True, load=True
    )
    buy_10_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_10_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_10_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_11_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_11_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_11_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_11_protection__ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_11_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_11_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_11_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_11_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_11_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_11_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_11_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_11_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_11_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_11_protection__safe_dips = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_11_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="100", space="buy", optimize=True, load=True
    )
    buy_11_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_11_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_11_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_12_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_12_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_12_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_12_protection__ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_12_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_12_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_12_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_12_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_12_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_12_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_12_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_12_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_12_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="24",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_12_protection__safe_dips = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_12_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="100", space="buy", optimize=True, load=True
    )
    buy_12_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_12_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_12_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_13_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_13_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_13_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_13_protection__ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_13_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_13_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_13_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_13_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_13_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_13_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_13_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_13_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_13_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="24",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_13_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_13_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_13_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_13_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_13_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_14_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_14_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_14_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_14_protection__ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_14_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_14_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_14_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_14_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_14_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_14_protection__sma200_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_14_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="30",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_14_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_14_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_14_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_14_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_14_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_14_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="70", space="buy", optimize=True, load=True
    )
    buy_14_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_15_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_15_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_15_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_15_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_15_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_15_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_15_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_15_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_15_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_15_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_15_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_15_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_15_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_15_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_15_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_15_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_15_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_15_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="36", space="buy", optimize=True, load=True
    )
    buy_condition_16_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_16_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_16_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_16_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_16_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_16_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_16_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_16_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_16_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_16_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_16_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_16_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_16_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_16_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_16_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_16_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_16_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_16_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_17_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_17_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_17_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_17_protection__ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_17_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_17_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_17_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_17_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_17_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_17_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_17_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_17_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_17_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_17_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_17_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_17_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_17_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="120", space="buy", optimize=True, load=True
    )
    buy_17_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_18_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_18_protection__ema_fast = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_18_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="100", space="buy", optimize=True, load=True
    )
    buy_18_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_18_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_18_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_18_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_18_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_18_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_18_protection__sma200_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_18_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="44",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_18_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_18_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="72",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_18_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_18_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_18_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_18_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="60", space="buy", optimize=True, load=True
    )
    buy_18_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_19_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_19_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_19_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_19_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_19_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="100", space="buy", optimize=True, load=True
    )
    buy_19_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_19_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_19_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_19_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_19_protection__sma200_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_19_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="36",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_19_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_19_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_19_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_19_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_19_protection__safe_pump = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_19_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_19_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_20_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_20_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_20_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_20_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_20_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_20_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_20_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_20_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_20_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_20_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_20_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_20_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_20_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_20_protection__safe_dips = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_20_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_20_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_20_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_20_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_21_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_21_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_21_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_21_protection__ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_21_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_21_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_21_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_21_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_21_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_21_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_21_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_21_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_21_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_21_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_21_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="90", space="buy", optimize=True, load=True
    )
    buy_21_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_21_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_21_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_22_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_22_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_22_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_22_protection__ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_22_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_22_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_22_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_22_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_22_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_22_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_22_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_22_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_22_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_22_protection__safe_dips = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_22_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_22_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_22_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_22_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_23_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_23_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_23_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_23_protection__ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_23_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_23_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_23_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_23_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_23_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_23_protection__sma200_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_23_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_23_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_23_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_23_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_23_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="100", space="buy", optimize=True, load=True
    )
    buy_23_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_23_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_23_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_24_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_24_protection__ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_24_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_24_protection__ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_24_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"], default="50", space="buy", optimize=True, load=True
    )
    buy_24_protection__close_above_ema_fast = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_24_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="200",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_24_protection__close_above_ema_slow = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_24_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"], default="200", space="buy", optimize=True, load=True
    )
    buy_24_protection__sma200_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_24_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="30",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_24_protection__sma200_1h_rising = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_24_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="36",
        space="buy",
        optimize=True,
        load=True,
    )
    buy_24_protection__safe_dips = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_24_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"], default="10", space="buy", optimize=True, load=True
    )
    buy_24_protection__safe_pump = CategoricalParameter(
        [True, False], default=False, space="buy", optimize=True, load=True
    )
    buy_24_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"], default="50", space="buy", optimize=True, load=True
    )
    buy_24_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"], default="24", space="buy", optimize=True, load=True
    )
    buy_condition_26_enable = CategoricalParameter(
        [True, False], default=True, space="buy", optimize=True, load=True
    )
    buy_26_protection__optimize = False
    buy_26_parameters__optimize = False
    buy_26_protection__ema_fast = CategoricalParameter(
        [True, False],
        default=False,
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__ema_fast_len = CategoricalParameter(
        ["26", "50", "100", "200"],
        default="50",
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__ema_slow = CategoricalParameter(
        [True, False],
        default=True,
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__ema_slow_len = CategoricalParameter(
        ["26", "50", "100", "200"],
        default="100",
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__close_above_ema_fast = CategoricalParameter(
        [True, False],
        default=True,
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__close_above_ema_fast_len = CategoricalParameter(
        ["12", "20", "26", "50", "100", "200"],
        default="50",
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__close_above_ema_slow = CategoricalParameter(
        [True, False],
        default=True,
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__close_above_ema_slow_len = CategoricalParameter(
        ["15", "50", "200"],
        default="200",
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__sma200_rising = CategoricalParameter(
        [True, False],
        default=False,
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__sma200_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="30",
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__sma200_1h_rising = CategoricalParameter(
        [True, False],
        default=False,
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__sma200_1h_rising_val = CategoricalParameter(
        ["20", "30", "36", "44", "50"],
        default="50",
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__safe_dips = CategoricalParameter(
        [True, False],
        default=True,
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__safe_dips_type = CategoricalParameter(
        ["10", "50", "100"],
        default="10",
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__safe_pump = CategoricalParameter(
        [True, False],
        default=True,
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__safe_pump_type = CategoricalParameter(
        ["10", "50", "100"],
        default="100",
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )
    buy_26_protection__safe_pump_period = CategoricalParameter(
        ["24", "36", "48"],
        default="48",
        space="buy",
        optimize=buy_26_protection__optimize,
        load=True,
    )

    buy_dip_threshold_10_1 = DecimalParameter(
        0.001, 0.05, default=0.015, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_10_2 = DecimalParameter(
        0.01, 0.2, default=0.1, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_10_3 = DecimalParameter(
        0.1, 0.3, default=0.24, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_10_4 = DecimalParameter(
        0.3, 0.5, default=0.42, space="buy", decimals=3, optimize=True, load=True
    )

    buy_dip_threshold_20_1 = DecimalParameter(
        0.001, 0.05, default=0.016, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_20_2 = DecimalParameter(
        0.01, 0.2, default=0.11, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_20_3 = DecimalParameter(
        0.1, 0.4, default=0.26, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_20_4 = DecimalParameter(
        0.36, 0.56, default=0.44, space="buy", decimals=3, optimize=True, load=True
    )

    buy_dip_threshold_30_1 = DecimalParameter(
        0.001, 0.05, default=0.018, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_30_2 = DecimalParameter(
        0.01, 0.2, default=0.12, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_30_3 = DecimalParameter(
        0.1, 0.4, default=0.28, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_30_4 = DecimalParameter(
        0.36, 0.56, default=0.46, space="buy", decimals=3, optimize=True, load=True
    )

    buy_dip_threshold_40_1 = DecimalParameter(
        0.001, 0.05, default=0.019, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_40_2 = DecimalParameter(
        0.01, 0.2, default=0.13, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_40_3 = DecimalParameter(
        0.1, 0.4, default=0.3, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_40_4 = DecimalParameter(
        0.36, 0.56, default=0.48, space="buy", decimals=3, optimize=True, load=True
    )

    buy_dip_threshold_50_1 = DecimalParameter(
        0.001, 0.05, default=0.02, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_50_2 = DecimalParameter(
        0.01, 0.2, default=0.14, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_50_3 = DecimalParameter(
        0.05, 0.4, default=0.32, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_50_4 = DecimalParameter(
        0.2, 0.5, default=0.5, space="buy", decimals=3, optimize=True, load=True
    )

    buy_dip_threshold_60_1 = DecimalParameter(
        0.001, 0.05, default=0.022, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_60_2 = DecimalParameter(
        0.1, 0.22, default=0.18, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_60_3 = DecimalParameter(
        0.2, 0.4, default=0.34, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_60_4 = DecimalParameter(
        0.4, 0.6, default=0.56, space="buy", decimals=3, optimize=True, load=True
    )

    buy_dip_threshold_70_1 = DecimalParameter(
        0.001, 0.05, default=0.023, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_70_2 = DecimalParameter(
        0.16, 0.28, default=0.2, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_70_3 = DecimalParameter(
        0.2, 0.4, default=0.36, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_70_4 = DecimalParameter(
        0.5, 0.7, default=0.6, space="buy", decimals=3, optimize=True, load=True
    )

    buy_dip_threshold_80_1 = DecimalParameter(
        0.001, 0.05, default=0.024, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_80_2 = DecimalParameter(
        0.16, 0.28, default=0.22, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_80_3 = DecimalParameter(
        0.2, 0.4, default=0.38, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_80_4 = DecimalParameter(
        0.5, 0.7, default=0.66, space="buy", decimals=3, optimize=True, load=True
    )

    buy_dip_threshold_90_1 = DecimalParameter(
        0.001, 0.05, default=0.025, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_90_2 = DecimalParameter(
        0.16, 0.28, default=0.23, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_90_3 = DecimalParameter(
        0.3, 0.5, default=0.4, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_90_4 = DecimalParameter(
        0.6, 0.8, default=0.7, space="buy", decimals=3, optimize=True, load=True
    )

    buy_dip_threshold_100_1 = DecimalParameter(
        0.001, 0.05, default=0.026, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_100_2 = DecimalParameter(
        0.16, 0.3, default=0.24, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_100_3 = DecimalParameter(
        0.3, 0.5, default=0.42, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_100_4 = DecimalParameter(
        0.6, 1.0, default=0.8, space="buy", decimals=3, optimize=True, load=True
    )

    buy_dip_threshold_110_1 = DecimalParameter(
        0.001, 0.05, default=0.027, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_110_2 = DecimalParameter(
        0.16, 0.3, default=0.26, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_110_3 = DecimalParameter(
        0.3, 0.5, default=0.44, space="buy", decimals=3, optimize=True, load=True
    )
    buy_dip_threshold_110_4 = DecimalParameter(
        0.6, 1.0, default=0.84, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_10_24 = DecimalParameter(
        1.5, 3.0, default=2.2, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_10_24 = DecimalParameter(
        0.4, 1.0, default=0.42, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_10_36 = DecimalParameter(
        1.5, 3.0, default=2.0, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_10_36 = DecimalParameter(
        0.4, 1.0, default=0.58, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_10_48 = DecimalParameter(
        1.5, 3.0, default=2.0, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_10_48 = DecimalParameter(
        0.4, 1.0, default=0.8, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_20_24 = DecimalParameter(
        1.5, 3.0, default=2.2, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_20_24 = DecimalParameter(
        0.4, 1.0, default=0.46, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_20_36 = DecimalParameter(
        1.5, 3.0, default=2.0, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_20_36 = DecimalParameter(
        0.4, 1.0, default=0.6, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_20_48 = DecimalParameter(
        1.5, 3.0, default=2.0, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_20_48 = DecimalParameter(
        0.4, 1.0, default=0.81, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_30_24 = DecimalParameter(
        1.5, 3.0, default=2.2, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_30_24 = DecimalParameter(
        0.4, 1.0, default=0.5, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_30_36 = DecimalParameter(
        1.5, 3.0, default=2.0, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_30_36 = DecimalParameter(
        0.4, 1.0, default=0.62, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_30_48 = DecimalParameter(
        1.5, 3.0, default=2.0, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_30_48 = DecimalParameter(
        0.4, 1.0, default=0.82, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_40_24 = DecimalParameter(
        1.5, 3.0, default=2.2, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_40_24 = DecimalParameter(
        0.4, 1.0, default=0.54, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_40_36 = DecimalParameter(
        1.5, 3.0, default=2.0, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_40_36 = DecimalParameter(
        0.4, 1.0, default=0.63, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_40_48 = DecimalParameter(
        1.5, 3.0, default=2.0, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_40_48 = DecimalParameter(
        0.4, 1.0, default=0.84, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_50_24 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_50_24 = DecimalParameter(
        0.4, 1.0, default=0.6, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_50_36 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_50_36 = DecimalParameter(
        0.4, 1.0, default=0.64, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_50_48 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_50_48 = DecimalParameter(
        0.4, 1.0, default=0.85, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_60_24 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_60_24 = DecimalParameter(
        0.4, 1.0, default=0.62, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_60_36 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_60_36 = DecimalParameter(
        0.4, 1.0, default=0.66, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_60_48 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_60_48 = DecimalParameter(
        0.4, 1.0, default=0.9, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_70_24 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_70_24 = DecimalParameter(
        0.4, 1.0, default=0.63, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_70_36 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_70_36 = DecimalParameter(
        0.4, 1.0, default=0.67, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_70_48 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_70_48 = DecimalParameter(
        0.4, 1.0, default=0.95, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_80_24 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_80_24 = DecimalParameter(
        0.4, 1.0, default=0.64, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_80_36 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_80_36 = DecimalParameter(
        0.4, 1.0, default=0.68, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_80_48 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_80_48 = DecimalParameter(
        0.8, 1.1, default=1.0, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_90_24 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_90_24 = DecimalParameter(
        0.4, 1.0, default=0.65, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_90_36 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_90_36 = DecimalParameter(
        0.4, 1.0, default=0.69, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_90_48 = DecimalParameter(
        1.5, 3.0, default=1.75, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_90_48 = DecimalParameter(
        0.8, 1.2, default=1.1, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_100_24 = DecimalParameter(
        1.5, 3.0, default=1.7, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_100_24 = DecimalParameter(
        0.4, 1.0, default=0.66, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_100_36 = DecimalParameter(
        1.5, 3.0, default=1.7, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_100_36 = DecimalParameter(
        0.4, 1.0, default=0.7, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_100_48 = DecimalParameter(
        1.3, 2.0, default=1.4, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_100_48 = DecimalParameter(
        0.4, 1.8, default=1.6, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_110_24 = DecimalParameter(
        1.5, 3.0, default=1.7, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_110_24 = DecimalParameter(
        0.4, 1.0, default=0.7, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_110_36 = DecimalParameter(
        1.5, 3.0, default=1.7, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_110_36 = DecimalParameter(
        0.4, 1.0, default=0.74, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_110_48 = DecimalParameter(
        1.3, 2.0, default=1.4, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_110_48 = DecimalParameter(
        1.4, 2.0, default=1.8, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_120_24 = DecimalParameter(
        1.5, 3.0, default=1.7, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_120_24 = DecimalParameter(
        0.4, 1.0, default=0.78, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_120_36 = DecimalParameter(
        1.5, 3.0, default=1.7, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_120_36 = DecimalParameter(
        0.4, 1.0, default=0.78, space="buy", decimals=3, optimize=True, load=True
    )

    buy_pump_pull_threshold_120_48 = DecimalParameter(
        1.3, 2.0, default=1.4, space="buy", decimals=2, optimize=True, load=True
    )
    buy_pump_threshold_120_48 = DecimalParameter(
        1.4, 2.8, default=2.0, space="buy", decimals=3, optimize=True, load=True
    )
    buy_min_inc_1 = DecimalParameter(
        0.01, 0.05, default=0.022, space="buy", decimals=3, optimize=True, load=True
    )
    buy_rsi_1h_min_1 = DecimalParameter(
        25.0, 40.0, default=30.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_1h_max_1 = DecimalParameter(
        70.0, 90.0, default=84.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_1 = DecimalParameter(
        20.0, 40.0, default=36.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_mfi_1 = DecimalParameter(
        20.0, 40.0, default=36.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_1h_min_2 = DecimalParameter(
        30.0, 40.0, default=32.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_1h_max_2 = DecimalParameter(
        70.0, 95.0, default=84.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_1h_diff_2 = DecimalParameter(
        30.0, 50.0, default=39.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_mfi_2 = DecimalParameter(
        30.0, 56.0, default=49.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_bb_offset_2 = DecimalParameter(
        0.97, 0.999, default=0.983, space="buy", decimals=3, optimize=True, load=True
    )
    buy_bb40_bbdelta_close_3 = DecimalParameter(
        0.005, 0.06, default=0.059, space="buy", optimize=True, load=True
    )
    buy_bb40_closedelta_close_3 = DecimalParameter(
        0.01, 0.03, default=0.023, space="buy", optimize=True, load=True
    )
    buy_bb40_tail_bbdelta_3 = DecimalParameter(
        0.15, 0.45, default=0.418, space="buy", optimize=True, load=True
    )
    buy_ema_rel_3 = DecimalParameter(
        0.97, 0.999, default=0.986, space="buy", decimals=3, optimize=True, load=True
    )
    buy_bb20_close_bblowerband_4 = DecimalParameter(
        0.96, 0.99, default=0.98, space="buy", optimize=True, load=True
    )
    buy_bb20_volume_4 = DecimalParameter(
        1.0, 20.0, default=10.0, space="buy", decimals=2, optimize=True, load=True
    )
    buy_ema_open_mult_5 = DecimalParameter(
        0.016, 0.03, default=0.018, space="buy", decimals=3, optimize=True, load=True
    )
    buy_bb_offset_5 = DecimalParameter(
        0.98, 1.0, default=0.996, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ema_rel_5 = DecimalParameter(
        0.97, 0.999, default=0.944, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ema_open_mult_6 = DecimalParameter(
        0.02, 0.03, default=0.021, space="buy", decimals=3, optimize=True, load=True
    )
    buy_bb_offset_6 = DecimalParameter(
        0.98, 0.999, default=0.984, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ema_open_mult_7 = DecimalParameter(
        0.02, 0.04, default=0.03, space="buy", decimals=3, optimize=True, load=True
    )
    buy_rsi_7 = DecimalParameter(
        24.0, 50.0, default=37.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_volume_8 = DecimalParameter(
        1.0, 6.0, default=2.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_8 = DecimalParameter(
        16.0, 30.0, default=29.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_tail_diff_8 = DecimalParameter(
        3.0, 10.0, default=3.5, space="buy", decimals=1, optimize=True, load=True
    )
    buy_ma_offset_9 = DecimalParameter(
        0.91, 0.94, default=0.922, space="buy", decimals=3, optimize=True, load=True
    )
    buy_bb_offset_9 = DecimalParameter(
        0.96, 0.98, default=0.942, space="buy", decimals=3, optimize=True, load=True
    )
    buy_rsi_1h_min_9 = DecimalParameter(
        26.0, 40.0, default=30.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_1h_max_9 = DecimalParameter(
        70.0, 90.0, default=88.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_mfi_9 = DecimalParameter(
        36.0, 56.0, default=50.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_ma_offset_10 = DecimalParameter(
        0.93, 0.97, default=0.948, space="buy", decimals=3, optimize=True, load=True
    )
    buy_bb_offset_10 = DecimalParameter(
        0.97, 0.99, default=0.985, space="buy", decimals=3, optimize=True, load=True
    )
    buy_rsi_1h_10 = DecimalParameter(
        20.0, 40.0, default=37.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_ma_offset_11 = DecimalParameter(
        0.93, 0.99, default=0.934, space="buy", decimals=3, optimize=True, load=True
    )
    buy_min_inc_11 = DecimalParameter(
        0.005, 0.05, default=0.01, space="buy", decimals=3, optimize=True, load=True
    )
    buy_rsi_1h_min_11 = DecimalParameter(
        40.0, 60.0, default=55.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_1h_max_11 = DecimalParameter(
        70.0, 90.0, default=84.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_11 = DecimalParameter(
        34.0, 50.0, default=48.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_mfi_11 = DecimalParameter(
        30.0, 46.0, default=36.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_ma_offset_12 = DecimalParameter(
        0.93, 0.97, default=0.922, space="buy", decimals=3, optimize=True, load=True
    )
    buy_rsi_12 = DecimalParameter(
        26.0, 40.0, default=30.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_ewo_12 = DecimalParameter(
        1.0, 6.0, default=1.8, space="buy", decimals=1, optimize=True, load=True
    )
    buy_ma_offset_13 = DecimalParameter(
        0.93, 0.98, default=0.99, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ewo_13 = DecimalParameter(
        -14.0, -7.0, default=-11.4, space="buy", decimals=1, optimize=True, load=True
    )
    buy_ema_open_mult_14 = DecimalParameter(
        0.01, 0.03, default=0.014, space="buy", decimals=3, optimize=True, load=True
    )
    buy_bb_offset_14 = DecimalParameter(
        0.98, 1.0, default=0.988, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ma_offset_14 = DecimalParameter(
        0.93, 0.99, default=0.98, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ema_open_mult_15 = DecimalParameter(
        0.01, 0.03, default=0.018, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ma_offset_15 = DecimalParameter(
        0.93, 0.99, default=0.954, space="buy", decimals=3, optimize=True, load=True
    )
    buy_rsi_15 = DecimalParameter(
        20.0, 36.0, default=28.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_ema_rel_15 = DecimalParameter(
        0.97, 0.999, default=0.988, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ma_offset_16 = DecimalParameter(
        0.93, 0.97, default=0.952, space="buy", decimals=3, optimize=True, load=True
    )
    buy_rsi_16 = DecimalParameter(
        26.0, 50.0, default=31.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_ewo_16 = DecimalParameter(
        2.0, 6.0, default=2.8, space="buy", decimals=1, optimize=True, load=True
    )
    buy_ma_offset_17 = DecimalParameter(
        0.93, 0.98, default=0.952, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ewo_17 = DecimalParameter(
        -18.0, -10.0, default=-12.8, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_18 = DecimalParameter(
        16.0, 32.0, default=26.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_bb_offset_18 = DecimalParameter(
        0.98, 1.0, default=0.982, space="buy", decimals=3, optimize=True, load=True
    )
    buy_rsi_1h_min_19 = DecimalParameter(
        40.0, 70.0, default=50.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_chop_min_19 = DecimalParameter(
        20.0, 60.0, default=24.1, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_20 = DecimalParameter(
        20.0, 36.0, default=27.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_1h_20 = DecimalParameter(
        14.0, 30.0, default=20.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_21 = DecimalParameter(
        10.0, 28.0, default=23.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_1h_21 = DecimalParameter(
        18.0, 40.0, default=24.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_volume_22 = DecimalParameter(
        0.5, 6.0, default=3.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_bb_offset_22 = DecimalParameter(
        0.98, 1.0, default=0.98, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ma_offset_22 = DecimalParameter(
        0.93, 0.98, default=0.94, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ewo_22 = DecimalParameter(
        2.0, 10.0, default=4.2, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_22 = DecimalParameter(
        26.0, 56.0, default=37.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_bb_offset_23 = DecimalParameter(
        0.97, 1.0, default=0.987, space="buy", decimals=3, optimize=True, load=True
    )
    buy_ewo_23 = DecimalParameter(
        2.0, 10.0, default=7.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_23 = DecimalParameter(
        20.0, 40.0, default=30.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_rsi_1h_23 = DecimalParameter(
        60.0, 80.0, default=70.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_24_rsi_max = DecimalParameter(
        26.0, 60.0, default=60.0, space="buy", decimals=1, optimize=True, load=True
    )
    buy_24_rsi_1h_min = DecimalParameter(
        40.0, 90.0, default=66.9, space="buy", decimals=1, optimize=True, load=True
    )
    buy_26_zema_low_offset = DecimalParameter(
        0.9,
        0.99,
        default=0.93,
        space="buy",
        optimize=buy_26_parameters__optimize,
        load=True,
    )

    sell_condition_1_enable = CategoricalParameter(
        [True, False], default=True, space="sell", optimize=True, load=True
    )
    sell_condition_2_enable = CategoricalParameter(
        [True, False], default=True, space="sell", optimize=True, load=True
    )
    sell_condition_3_enable = CategoricalParameter(
        [True, False], default=True, space="sell", optimize=True, load=True
    )
    sell_condition_4_enable = CategoricalParameter(
        [True, False], default=True, space="sell", optimize=True, load=True
    )
    sell_condition_5_enable = CategoricalParameter(
        [True, False], default=True, space="sell", optimize=True, load=True
    )
    sell_condition_6_enable = CategoricalParameter(
        [True, False], default=True, space="sell", optimize=True, load=True
    )
    sell_condition_7_enable = CategoricalParameter(
        [True, False], default=True, space="sell", optimize=True, load=True
    )
    sell_condition_8_enable = CategoricalParameter(
        [True, False], default=True, space="sell", optimize=True, load=True
    )

    sell_pump_threshold_48_1 = DecimalParameter(
        0.5, 1.2, default=0.9, space="sell", decimals=2, optimize=True, load=True
    )
    sell_pump_threshold_48_2 = DecimalParameter(
        0.4, 0.9, default=0.7, space="sell", decimals=2, optimize=True, load=True
    )
    sell_pump_threshold_48_3 = DecimalParameter(
        0.3, 0.7, default=0.5, space="sell", decimals=2, optimize=True, load=True
    )

    sell_pump_threshold_36_1 = DecimalParameter(
        0.5, 0.9, default=0.72, space="sell", decimals=2, optimize=True, load=True
    )
    sell_pump_threshold_36_2 = DecimalParameter(
        3.0, 6.0, default=4.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_pump_threshold_36_3 = DecimalParameter(
        0.8, 1.6, default=1.0, space="sell", decimals=2, optimize=True, load=True
    )

    sell_pump_threshold_24_1 = DecimalParameter(
        0.5, 0.9, default=0.68, space="sell", decimals=2, optimize=True, load=True
    )
    sell_pump_threshold_24_2 = DecimalParameter(
        0.3, 0.6, default=0.62, space="sell", decimals=2, optimize=True, load=True
    )
    sell_pump_threshold_24_3 = DecimalParameter(
        0.2, 0.5, default=0.88, space="sell", decimals=2, optimize=True, load=True
    )
    sell_rsi_bb_1 = DecimalParameter(
        60.0, 80.0, default=79.5, space="sell", decimals=1, optimize=True, load=True
    )
    sell_rsi_bb_2 = DecimalParameter(
        72.0, 90.0, default=81, space="sell", decimals=1, optimize=True, load=True
    )
    sell_rsi_main_3 = DecimalParameter(
        77.0, 90.0, default=82, space="sell", decimals=1, optimize=True, load=True
    )
    sell_dual_rsi_rsi_4 = DecimalParameter(
        72.0, 84.0, default=73.4, space="sell", decimals=1, optimize=True, load=True
    )
    sell_dual_rsi_rsi_1h_4 = DecimalParameter(
        78.0, 92.0, default=79.6, space="sell", decimals=1, optimize=True, load=True
    )
    sell_ema_relative_5 = DecimalParameter(
        0.005, 0.05, default=0.024, space="sell", optimize=True, load=True
    )
    sell_rsi_diff_5 = DecimalParameter(
        0.0, 20.0, default=4.4, space="sell", optimize=True, load=True
    )
    sell_rsi_under_6 = DecimalParameter(
        72.0, 90.0, default=79.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_rsi_1h_7 = DecimalParameter(
        80.0, 95.0, default=81.7, space="sell", decimals=1, optimize=True, load=True
    )
    sell_bb_relative_8 = DecimalParameter(
        1.05, 1.3, default=1.1, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_profit_0 = DecimalParameter(
        0.01, 0.1, default=0.01, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_0 = DecimalParameter(
        30.0, 40.0, default=34.0, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_profit_1 = DecimalParameter(
        0.01, 0.1, default=0.02, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_1 = DecimalParameter(
        30.0, 50.0, default=35.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_profit_2 = DecimalParameter(
        0.01, 0.1, default=0.03, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_2 = DecimalParameter(
        30.0, 50.0, default=37.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_profit_3 = DecimalParameter(
        0.01, 0.1, default=0.04, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_3 = DecimalParameter(
        30.0, 50.0, default=42.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_profit_4 = DecimalParameter(
        0.01, 0.1, default=0.05, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_4 = DecimalParameter(
        35.0, 50.0, default=43.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_profit_5 = DecimalParameter(
        0.01, 0.1, default=0.06, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_5 = DecimalParameter(
        35.0, 50.0, default=45.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_profit_6 = DecimalParameter(
        0.01, 0.1, default=0.07, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_6 = DecimalParameter(
        38.0, 55.0, default=48.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_profit_7 = DecimalParameter(
        0.01, 0.1, default=0.08, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_7 = DecimalParameter(
        40.0, 58.0, default=54.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_profit_8 = DecimalParameter(
        0.06, 0.1, default=0.09, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_8 = DecimalParameter(
        40.0, 50.0, default=55.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_profit_9 = DecimalParameter(
        0.05, 0.14, default=0.1, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_9 = DecimalParameter(
        40.0, 60.0, default=54.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_profit_10 = DecimalParameter(
        0.1, 0.14, default=0.12, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_10 = DecimalParameter(
        38.0, 50.0, default=42.0, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_profit_11 = DecimalParameter(
        0.16, 0.45, default=0.2, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_rsi_11 = DecimalParameter(
        28.0, 40.0, default=34.0, space="sell", decimals=2, optimize=True, load=True
    )

    sell_custom_under_profit_0 = DecimalParameter(
        0.01, 0.4, default=0.01, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_0 = DecimalParameter(
        28.0, 40.0, default=35.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_1 = DecimalParameter(
        0.01, 0.1, default=0.02, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_1 = DecimalParameter(
        36.0, 60.0, default=56.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_2 = DecimalParameter(
        0.01, 0.1, default=0.03, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_2 = DecimalParameter(
        46.0, 66.0, default=57.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_3 = DecimalParameter(
        0.01, 0.1, default=0.04, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_3 = DecimalParameter(
        50.0, 68.0, default=58.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_4 = DecimalParameter(
        0.02, 0.1, default=0.05, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_4 = DecimalParameter(
        50.0, 68.0, default=59.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_5 = DecimalParameter(
        0.02, 0.1, default=0.06, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_5 = DecimalParameter(
        46.0, 62.0, default=60.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_6 = DecimalParameter(
        0.03, 0.1, default=0.07, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_6 = DecimalParameter(
        44.0, 60.0, default=56.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_7 = DecimalParameter(
        0.04, 0.1, default=0.08, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_7 = DecimalParameter(
        46.0, 60.0, default=54.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_8 = DecimalParameter(
        0.06, 0.12, default=0.09, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_8 = DecimalParameter(
        40.0, 58.0, default=55.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_9 = DecimalParameter(
        0.08, 0.14, default=0.1, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_9 = DecimalParameter(
        40.0, 60.0, default=54.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_10 = DecimalParameter(
        0.1, 0.16, default=0.12, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_10 = DecimalParameter(
        30.0, 50.0, default=42.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_under_profit_11 = DecimalParameter(
        0.16, 0.3, default=0.2, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_under_rsi_11 = DecimalParameter(
        24.0, 40.0, default=34.0, space="sell", decimals=1, optimize=True, load=True
    )

    sell_custom_pump_profit_1_1 = DecimalParameter(
        0.01, 0.03, default=0.01, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_1_1 = DecimalParameter(
        26.0, 40.0, default=34.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_1_2 = DecimalParameter(
        0.01, 0.6, default=0.02, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_1_2 = DecimalParameter(
        36.0, 50.0, default=40.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_1_3 = DecimalParameter(
        0.02, 0.1, default=0.04, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_1_3 = DecimalParameter(
        38.0, 50.0, default=42.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_1_4 = DecimalParameter(
        0.06, 0.12, default=0.1, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_1_4 = DecimalParameter(
        36.0, 48.0, default=42.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_1_5 = DecimalParameter(
        0.14, 0.24, default=0.2, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_1_5 = DecimalParameter(
        20.0, 40.0, default=34.0, space="sell", decimals=1, optimize=True, load=True
    )

    sell_custom_pump_profit_2_1 = DecimalParameter(
        0.01, 0.03, default=0.01, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_2_1 = DecimalParameter(
        26.0, 40.0, default=34.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_2_2 = DecimalParameter(
        0.01, 0.6, default=0.02, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_2_2 = DecimalParameter(
        36.0, 50.0, default=40.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_2_3 = DecimalParameter(
        0.02, 0.1, default=0.04, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_2_3 = DecimalParameter(
        38.0, 50.0, default=40.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_2_4 = DecimalParameter(
        0.06, 0.12, default=0.1, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_2_4 = DecimalParameter(
        36.0, 48.0, default=42.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_2_5 = DecimalParameter(
        0.14, 0.24, default=0.2, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_2_5 = DecimalParameter(
        20.0, 40.0, default=34.0, space="sell", decimals=1, optimize=True, load=True
    )

    sell_custom_pump_profit_3_1 = DecimalParameter(
        0.01, 0.03, default=0.01, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_3_1 = DecimalParameter(
        26.0, 40.0, default=34.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_3_2 = DecimalParameter(
        0.01, 0.6, default=0.02, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_3_2 = DecimalParameter(
        34.0, 50.0, default=40.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_3_3 = DecimalParameter(
        0.02, 0.1, default=0.04, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_3_3 = DecimalParameter(
        38.0, 50.0, default=40.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_3_4 = DecimalParameter(
        0.06, 0.12, default=0.1, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_3_4 = DecimalParameter(
        36.0, 48.0, default=42.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_profit_3_5 = DecimalParameter(
        0.14, 0.24, default=0.2, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_rsi_3_5 = DecimalParameter(
        20.0, 40.0, default=34.0, space="sell", decimals=1, optimize=True, load=True
    )

    sell_custom_dec_profit_min_1 = DecimalParameter(
        0.01, 0.1, default=0.05, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_dec_profit_max_1 = DecimalParameter(
        0.06, 0.16, default=0.12, space="sell", decimals=3, optimize=True, load=True
    )

    sell_custom_dec_profit_min_2 = DecimalParameter(
        0.05, 0.12, default=0.07, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_dec_profit_max_2 = DecimalParameter(
        0.06, 0.2, default=0.16, space="sell", decimals=3, optimize=True, load=True
    )

    sell_trail_profit_min_1 = DecimalParameter(
        0.1, 0.2, default=0.16, space="sell", decimals=2, optimize=True, load=True
    )
    sell_trail_profit_max_1 = DecimalParameter(
        0.4, 0.7, default=0.6, space="sell", decimals=2, optimize=True, load=True
    )
    sell_trail_down_1 = DecimalParameter(
        0.01, 0.08, default=0.03, space="sell", decimals=3, optimize=True, load=True
    )
    sell_trail_rsi_min_1 = DecimalParameter(
        16.0, 36.0, default=20.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_trail_rsi_max_1 = DecimalParameter(
        30.0, 50.0, default=50.0, space="sell", decimals=1, optimize=True, load=True
    )

    sell_trail_profit_min_2 = DecimalParameter(
        0.08, 0.16, default=0.1, space="sell", decimals=3, optimize=True, load=True
    )
    sell_trail_profit_max_2 = DecimalParameter(
        0.3, 0.5, default=0.4, space="sell", decimals=2, optimize=True, load=True
    )
    sell_trail_down_2 = DecimalParameter(
        0.02, 0.08, default=0.03, space="sell", decimals=3, optimize=True, load=True
    )
    sell_trail_rsi_min_2 = DecimalParameter(
        16.0, 36.0, default=20.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_trail_rsi_max_2 = DecimalParameter(
        30.0, 50.0, default=50.0, space="sell", decimals=1, optimize=True, load=True
    )

    sell_trail_profit_min_3 = DecimalParameter(
        0.01, 0.12, default=0.06, space="sell", decimals=3, optimize=True, load=True
    )
    sell_trail_profit_max_3 = DecimalParameter(
        0.1, 0.3, default=0.2, space="sell", decimals=2, optimize=True, load=True
    )
    sell_trail_down_3 = DecimalParameter(
        0.01, 0.06, default=0.05, space="sell", decimals=3, optimize=True, load=True
    )

    sell_custom_profit_under_rel_1 = DecimalParameter(
        0.01, 0.04, default=0.024, space="sell", optimize=True, load=True
    )
    sell_custom_profit_under_rsi_diff_1 = DecimalParameter(
        0.0, 20.0, default=4.4, space="sell", optimize=True, load=True
    )

    sell_custom_stoploss_under_rel_1 = DecimalParameter(
        0.001, 0.02, default=0.004, space="sell", optimize=True, load=True
    )
    sell_custom_stoploss_under_rsi_diff_1 = DecimalParameter(
        0.0, 20.0, default=10.0, space="sell", optimize=True, load=True
    )

    sell_custom_stoploss_long_profit_min_1 = DecimalParameter(
        -0.1, -0.02, default=-0.08, space="sell", optimize=True, load=True
    )
    sell_custom_stoploss_long_profit_max_1 = DecimalParameter(
        -0.06, -0.01, default=-0.04, space="sell", optimize=True, load=True
    )
    sell_custom_stoploss_long_recover_1 = DecimalParameter(
        0.05, 0.15, default=0.1, space="sell", optimize=True, load=True
    )
    sell_custom_stoploss_long_rsi_diff_1 = DecimalParameter(
        0.0, 20.0, default=4.0, space="sell", optimize=True, load=True
    )

    sell_custom_stoploss_long_recover_2 = DecimalParameter(
        0.03, 0.15, default=0.06, space="sell", optimize=True, load=True
    )
    sell_custom_stoploss_long_rsi_diff_2 = DecimalParameter(
        30.0, 50.0, default=40.0, space="sell", optimize=True, load=True
    )

    sell_custom_pump_dec_profit_min_1 = DecimalParameter(
        0.001, 0.04, default=0.005, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_dec_profit_max_1 = DecimalParameter(
        0.03, 0.08, default=0.05, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_dec_profit_min_2 = DecimalParameter(
        0.01, 0.08, default=0.04, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_dec_profit_max_2 = DecimalParameter(
        0.04, 0.1, default=0.06, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_dec_profit_min_3 = DecimalParameter(
        0.02, 0.1, default=0.06, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_dec_profit_max_3 = DecimalParameter(
        0.06, 0.12, default=0.09, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_dec_profit_min_4 = DecimalParameter(
        0.01, 0.05, default=0.02, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_dec_profit_max_4 = DecimalParameter(
        0.02, 0.1, default=0.04, space="sell", decimals=3, optimize=True, load=True
    )

    sell_custom_pump_under_profit_min_1 = DecimalParameter(
        0.02, 0.06, default=0.04, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_under_profit_max_1 = DecimalParameter(
        0.04, 0.1, default=0.09, space="sell", decimals=3, optimize=True, load=True
    )

    sell_custom_pump_trail_profit_min_1 = DecimalParameter(
        0.01, 0.12, default=0.05, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_trail_profit_max_1 = DecimalParameter(
        0.06, 0.16, default=0.07, space="sell", decimals=2, optimize=True, load=True
    )
    sell_custom_pump_trail_down_1 = DecimalParameter(
        0.01, 0.06, default=0.05, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_pump_trail_rsi_min_1 = DecimalParameter(
        16.0, 36.0, default=20.0, space="sell", decimals=1, optimize=True, load=True
    )
    sell_custom_pump_trail_rsi_max_1 = DecimalParameter(
        30.0, 50.0, default=70.0, space="sell", decimals=1, optimize=True, load=True
    )

    sell_custom_stoploss_pump_max_profit_1 = DecimalParameter(
        0.01, 0.04, default=0.025, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_stoploss_pump_min_1 = DecimalParameter(
        -0.1, -0.01, default=-0.02, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_stoploss_pump_max_1 = DecimalParameter(
        -0.1, -0.01, default=-0.01, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_stoploss_pump_ma_offset_1 = DecimalParameter(
        0.7, 0.99, default=0.94, space="sell", decimals=2, optimize=True, load=True
    )

    sell_custom_stoploss_pump_max_profit_2 = DecimalParameter(
        0.01, 0.04, default=0.025, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_stoploss_pump_loss_2 = DecimalParameter(
        -0.1, -0.01, default=-0.05, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_stoploss_pump_ma_offset_2 = DecimalParameter(
        0.7, 0.99, default=0.92, space="sell", decimals=2, optimize=True, load=True
    )

    sell_custom_stoploss_pump_max_profit_3 = DecimalParameter(
        0.01, 0.04, default=0.008, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_stoploss_pump_loss_3 = DecimalParameter(
        -0.16, -0.06, default=-0.12, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_stoploss_pump_ma_offset_3 = DecimalParameter(
        0.7, 0.99, default=0.88, space="sell", decimals=2, optimize=True, load=True
    )

    sell_custom_recover_profit_1 = DecimalParameter(
        0.01, 0.06, default=0.04, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_recover_min_loss_1 = DecimalParameter(
        0.06, 0.16, default=0.12, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_recover_profit_min_2 = DecimalParameter(
        0.01, 0.04, default=0.01, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_recover_profit_max_2 = DecimalParameter(
        0.02, 0.08, default=0.05, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_recover_min_loss_2 = DecimalParameter(
        0.04, 0.16, default=0.06, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_recover_rsi_2 = DecimalParameter(
        32.0, 52.0, default=46.0, space="sell", decimals=1, optimize=True, load=True
    )

    sell_custom_long_profit_min_1 = DecimalParameter(
        0.01, 0.04, default=0.03, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_long_profit_max_1 = DecimalParameter(
        0.02, 0.08, default=0.04, space="sell", decimals=3, optimize=True, load=True
    )
    sell_custom_long_duration_min_1 = IntParameter(
        700, 2000, default=900, space="sell", optimize=True, load=True
    )

    def get_ticker_indicator(self):
        return int(self.timeframe[:-1])

    def custom_exit(
        self,
        pair: str,
        trade: "Trade",
        current_time: "datetime",
        current_rate: float,
        current_profit: float,
        **kwargs,
    ):
        dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
        last_candle = dataframe.iloc[-1].squeeze()
        max_profit = (trade.max_rate - trade.open_rate) / trade.open_rate
        max_loss = (trade.open_rate - trade.min_rate) / trade.min_rate
        if last_candle is not None:
            if (current_profit > self.sell_custom_profit_11.value) & (
                last_candle["rsi"] < self.sell_custom_rsi_11.value
            ):
                return "signal_profit_11"
            if (
                self.sell_custom_profit_11.value
                > current_profit
                > self.sell_custom_profit_10.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_10.value):
                return "signal_profit_10"
            if (
                self.sell_custom_profit_10.value
                > current_profit
                > self.sell_custom_profit_9.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_9.value):
                return "signal_profit_9"
            if (
                self.sell_custom_profit_9.value
                > current_profit
                > self.sell_custom_profit_8.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_8.value):
                return "signal_profit_8"
            if (
                self.sell_custom_profit_8.value
                > current_profit
                > self.sell_custom_profit_7.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_7.value):
                return "signal_profit_7"
            if (
                self.sell_custom_profit_7.value
                > current_profit
                > self.sell_custom_profit_6.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_6.value):
                return "signal_profit_6"
            if (
                self.sell_custom_profit_6.value
                > current_profit
                > self.sell_custom_profit_5.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_5.value):
                return "signal_profit_5"
            elif (
                self.sell_custom_profit_5.value
                > current_profit
                > self.sell_custom_profit_4.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_4.value):
                return "signal_profit_4"
            elif (
                self.sell_custom_profit_4.value
                > current_profit
                > self.sell_custom_profit_3.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_3.value):
                return "signal_profit_3"
            elif (
                self.sell_custom_profit_3.value
                > current_profit
                > self.sell_custom_profit_2.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_2.value):
                return "signal_profit_2"
            elif (
                self.sell_custom_profit_2.value
                > current_profit
                > self.sell_custom_profit_1.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_1.value):
                return "signal_profit_1"
            elif (
                self.sell_custom_profit_1.value
                > current_profit
                > self.sell_custom_profit_0.value
            ) & (last_candle["rsi"] < self.sell_custom_rsi_0.value):
                return "signal_profit_0"

            elif (
                (current_profit > self.sell_custom_under_profit_11.value)
                & (last_candle["rsi"] < self.sell_custom_under_rsi_11.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_11"
            elif (
                (
                    self.sell_custom_under_profit_11.value
                    > current_profit
                    > self.sell_custom_under_profit_10.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_10.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_10"
            elif (
                (
                    self.sell_custom_under_profit_10.value
                    > current_profit
                    > self.sell_custom_under_profit_9.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_9.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_9"
            elif (
                (
                    self.sell_custom_under_profit_9.value
                    > current_profit
                    > self.sell_custom_under_profit_8.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_8.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_8"
            elif (
                (
                    self.sell_custom_under_profit_8.value
                    > current_profit
                    > self.sell_custom_under_profit_7.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_7.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_7"
            elif (
                (
                    self.sell_custom_under_profit_7.value
                    > current_profit
                    > self.sell_custom_under_profit_6.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_6.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_6"
            elif (
                (
                    self.sell_custom_under_profit_6.value
                    > current_profit
                    > self.sell_custom_under_profit_5.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_5.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_5"
            elif (
                (
                    self.sell_custom_under_profit_5.value
                    > current_profit
                    > self.sell_custom_under_profit_4.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_4.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_4"
            elif (
                (
                    self.sell_custom_under_profit_4.value
                    > current_profit
                    > self.sell_custom_under_profit_3.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_3.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_3"
            elif (
                (
                    self.sell_custom_under_profit_3.value
                    > current_profit
                    > self.sell_custom_under_profit_2.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_2.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_2"
            elif (
                (
                    self.sell_custom_under_profit_2.value
                    > current_profit
                    > self.sell_custom_under_profit_1.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_1.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_1"
            elif (
                (
                    self.sell_custom_under_profit_1.value
                    > current_profit
                    > self.sell_custom_under_profit_0.value
                )
                & (last_candle["rsi"] < self.sell_custom_under_rsi_0.value)
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_u_0"

            elif (
                last_candle["sell_pump_48_1_1h"]
                & (current_profit > self.sell_custom_pump_profit_1_5.value)
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_1_5.value)
            ):
                return "signal_profit_p_1_5"
            elif (
                last_candle["sell_pump_48_1_1h"]
                & (
                    self.sell_custom_pump_profit_1_5.value
                    > current_profit
                    > self.sell_custom_pump_profit_1_4.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_1_4.value)
            ):
                return "signal_profit_p_1_4"
            elif (
                last_candle["sell_pump_48_1_1h"]
                & (
                    self.sell_custom_pump_profit_1_4.value
                    > current_profit
                    > self.sell_custom_pump_profit_1_3.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_1_3.value)
            ):
                return "signal_profit_p_1_3"
            elif (
                last_candle["sell_pump_48_1_1h"]
                & (
                    self.sell_custom_pump_profit_1_3.value
                    > current_profit
                    > self.sell_custom_pump_profit_1_2.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_1_2.value)
            ):
                return "signal_profit_p_1_2"
            elif (
                last_candle["sell_pump_48_1_1h"]
                & (
                    self.sell_custom_pump_profit_1_2.value
                    > current_profit
                    > self.sell_custom_pump_profit_1_1.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_1_1.value)
            ):
                return "signal_profit_p_1_1"
            elif (
                last_candle["sell_pump_36_1_1h"]
                & (current_profit > self.sell_custom_pump_profit_2_5.value)
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_2_5.value)
            ):
                return "signal_profit_p_2_5"
            elif (
                last_candle["sell_pump_36_1_1h"]
                & (
                    self.sell_custom_pump_profit_2_5.value
                    > current_profit
                    > self.sell_custom_pump_profit_2_4.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_2_4.value)
            ):
                return "signal_profit_p_2_4"
            elif (
                last_candle["sell_pump_36_1_1h"]
                & (
                    self.sell_custom_pump_profit_2_4.value
                    > current_profit
                    > self.sell_custom_pump_profit_2_3.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_2_3.value)
            ):
                return "signal_profit_p_2_3"
            elif (
                last_candle["sell_pump_36_1_1h"]
                & (
                    self.sell_custom_pump_profit_2_3.value
                    > current_profit
                    > self.sell_custom_pump_profit_2_2.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_2_2.value)
            ):
                return "signal_profit_p_2_2"
            elif (
                last_candle["sell_pump_36_1_1h"]
                & (
                    self.sell_custom_pump_profit_2_2.value
                    > current_profit
                    > self.sell_custom_pump_profit_2_1.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_2_1.value)
            ):
                return "signal_profit_p_2_1"
            elif (
                last_candle["sell_pump_24_1_1h"]
                & (current_profit > self.sell_custom_pump_profit_3_5.value)
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_3_5.value)
            ):
                return "signal_profit_p_3_5"
            elif (
                last_candle["sell_pump_24_1_1h"]
                & (
                    self.sell_custom_pump_profit_3_5.value
                    > current_profit
                    > self.sell_custom_pump_profit_3_4.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_3_4.value)
            ):
                return "signal_profit_p_3_4"
            elif (
                last_candle["sell_pump_24_1_1h"]
                & (
                    self.sell_custom_pump_profit_3_4.value
                    > current_profit
                    > self.sell_custom_pump_profit_3_3.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_3_3.value)
            ):
                return "signal_profit_p_3_3"
            elif (
                last_candle["sell_pump_24_1_1h"]
                & (
                    self.sell_custom_pump_profit_3_3.value
                    > current_profit
                    > self.sell_custom_pump_profit_3_2.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_3_2.value)
            ):
                return "signal_profit_p_3_2"
            elif (
                last_candle["sell_pump_24_1_1h"]
                & (
                    self.sell_custom_pump_profit_3_2.value
                    > current_profit
                    > self.sell_custom_pump_profit_3_1.value
                )
                & (last_candle["rsi"] < self.sell_custom_pump_rsi_3_1.value)
            ):
                return "signal_profit_p_3_1"
            elif (
                self.sell_custom_dec_profit_max_1.value
                > current_profit
                > self.sell_custom_dec_profit_min_1.value
            ) & last_candle["sma_200_dec_20"]:
                return "signal_profit_d_1"
            elif (
                self.sell_custom_dec_profit_max_2.value
                > current_profit
                > self.sell_custom_dec_profit_min_2.value
            ) & (last_candle["close"] < last_candle["ema_100"]):
                return "signal_profit_d_2"

            elif (
                (
                    self.sell_trail_profit_max_1.value
                    > current_profit
                    > self.sell_trail_profit_min_1.value
                )
                & (
                    self.sell_trail_rsi_min_1.value
                    < last_candle["rsi"]
                    < self.sell_trail_rsi_max_1.value
                )
                & (max_profit > current_profit + self.sell_trail_down_1.value)
            ):
                return "signal_profit_t_1"
            elif (
                (
                    self.sell_trail_profit_max_2.value
                    > current_profit
                    > self.sell_trail_profit_min_2.value
                )
                & (
                    self.sell_trail_rsi_min_2.value
                    < last_candle["rsi"]
                    < self.sell_trail_rsi_max_2.value
                )
                & (max_profit > current_profit + self.sell_trail_down_2.value)
            ):
                return "signal_profit_t_2"
            elif (
                (
                    self.sell_trail_profit_max_3.value
                    > current_profit
                    > self.sell_trail_profit_min_3.value
                )
                & (max_profit > current_profit + self.sell_trail_down_3.value)
                & last_candle["sma_200_dec_20_1h"]
            ):
                return "signal_profit_t_3"
            elif (
                (last_candle["close"] < last_candle["ema_200"])
                & (current_profit > self.sell_trail_profit_min_3.value)
                & (current_profit < self.sell_trail_profit_max_3.value)
                & (max_profit > current_profit + self.sell_trail_down_3.value)
            ):
                return "signal_profit_u_t_1"

            elif (
                (current_profit > 0.0)
                & (last_candle["close"] < last_candle["ema_200"])
                & (
                    (last_candle["ema_200"] - last_candle["close"])
                    / last_candle["close"]
                    < self.sell_custom_profit_under_rel_1.value
                )
                & (
                    last_candle["rsi"]
                    > last_candle["rsi_1h"]
                    + self.sell_custom_profit_under_rsi_diff_1.value
                )
            ):
                return "signal_profit_u_e_1"
            elif (
                (current_profit < -0.0)
                & (last_candle["close"] < last_candle["ema_200"])
                & (
                    (last_candle["ema_200"] - last_candle["close"])
                    / last_candle["close"]
                    < self.sell_custom_stoploss_under_rel_1.value
                )
                & (
                    last_candle["rsi"]
                    > last_candle["rsi_1h"]
                    + self.sell_custom_stoploss_under_rsi_diff_1.value
                )
                & last_candle["sma_200_dec_24"]
                & (current_time - timedelta(minutes=720) > trade.open_date_utc)
            ):
                return "signal_stoploss_u_1"
            elif (
                (
                    self.sell_custom_stoploss_long_profit_min_1.value
                    < current_profit
                    < self.sell_custom_stoploss_long_profit_max_1.value
                )
                & (
                    current_profit
                    > -max_loss + self.sell_custom_stoploss_long_recover_1.value
                )
                & (last_candle["close"] < last_candle["ema_200"])
                & (
                    last_candle["rsi"]
                    > last_candle["rsi_1h"]
                    + self.sell_custom_stoploss_long_rsi_diff_1.value
                )
                & last_candle["sma_200_dec_24"]
                & (current_time - timedelta(minutes=1200) > trade.open_date_utc)
            ):
                return "signal_stoploss_l_r_u_1"
            elif (
                (current_profit < -0.0)
                & (
                    current_profit
                    > -max_loss + self.sell_custom_stoploss_long_recover_2.value
                )
                & (last_candle["close"] < last_candle["ema_200"])
                & (
                    last_candle["rsi"]
                    > last_candle["rsi_1h"]
                    + self.sell_custom_stoploss_long_rsi_diff_2.value
                )
                & last_candle["sma_200_dec_24"]
                & (current_time - timedelta(minutes=1200) > trade.open_date_utc)
            ):
                return "signal_stoploss_l_r_u_2"
            elif (
                (
                    self.sell_custom_pump_dec_profit_max_1.value
                    > current_profit
                    > self.sell_custom_pump_dec_profit_min_1.value
                )
                & last_candle["sell_pump_48_1_1h"]
                & last_candle["sma_200_dec_20"]
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_p_d_1"
            elif (
                (
                    self.sell_custom_pump_dec_profit_max_2.value
                    > current_profit
                    > self.sell_custom_pump_dec_profit_min_2.value
                )
                & last_candle["sell_pump_48_2_1h"]
                & last_candle["sma_200_dec_20"]
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_p_d_2"
            elif (
                (
                    self.sell_custom_pump_dec_profit_max_3.value
                    > current_profit
                    > self.sell_custom_pump_dec_profit_min_3.value
                )
                & last_candle["sell_pump_48_3_1h"]
                & last_candle["sma_200_dec_20"]
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_p_d_3"
            elif (
                (
                    self.sell_custom_pump_dec_profit_max_4.value
                    > current_profit
                    > self.sell_custom_pump_dec_profit_min_4.value
                )
                & last_candle["sma_200_dec_20"]
                & last_candle["sell_pump_24_2_1h"]
            ):
                return "signal_profit_p_d_4"

            elif (
                (
                    self.sell_custom_pump_under_profit_max_1.value
                    > current_profit
                    > self.sell_custom_pump_under_profit_min_1.value
                )
                & last_candle["sell_pump_48_1_1h"]
                & (last_candle["close"] < last_candle["ema_200"])
            ):
                return "signal_profit_p_u_1"

            elif (
                last_candle["sell_pump_36_2_1h"]
                & (
                    self.sell_custom_pump_trail_profit_max_1.value
                    > current_profit
                    > self.sell_custom_pump_trail_profit_min_1.value
                )
                & (
                    self.sell_custom_pump_trail_rsi_min_1.value
                    < last_candle["rsi"]
                    < self.sell_custom_pump_trail_rsi_max_1.value
                )
                & (
                    max_profit
                    > current_profit + self.sell_custom_pump_trail_down_1.value
                )
            ):
                return "signal_profit_p_t_1"

            elif (
                (max_profit < self.sell_custom_stoploss_pump_max_profit_2.value)
                & (current_profit < self.sell_custom_stoploss_pump_loss_2.value)
                & last_candle["sell_pump_48_1_1h"]
                & last_candle["sma_200_dec_20_1h"]
                & (
                    last_candle["close"]
                    < last_candle["ema_200"]
                    * self.sell_custom_stoploss_pump_ma_offset_2.value
                )
            ):
                return "signal_stoploss_p_2"
            elif (
                (max_profit < self.sell_custom_stoploss_pump_max_profit_3.value)
                & (current_profit < self.sell_custom_stoploss_pump_loss_3.value)
                & last_candle["sell_pump_36_3_1h"]
                & (
                    last_candle["close"]
                    < last_candle["ema_200"]
                    * self.sell_custom_stoploss_pump_ma_offset_3.value
                )
            ):
                return "signal_stoploss_p_3"

            elif (max_loss > self.sell_custom_recover_min_loss_1.value) & (
                current_profit > self.sell_custom_recover_profit_1.value
            ):
                return "signal_profit_r_1"
            elif (
                (max_loss > self.sell_custom_recover_min_loss_2.value)
                & (
                    self.sell_custom_recover_profit_max_2.value
                    > current_profit
                    > self.sell_custom_recover_profit_min_2.value
                )
                & (last_candle["rsi"] < self.sell_custom_recover_rsi_2.value)
            ):
                return "signal_profit_r_2"

            elif (
                self.sell_custom_long_profit_min_1.value
                < current_profit
                < self.sell_custom_long_profit_max_1.value
            ) & (
                current_time
                - timedelta(minutes=self.sell_custom_long_duration_min_1.value)
                > trade.open_date_utc
            ):
                return "signal_profit_l_1"
        return None

    def range_percent_change(self, dataframe: DataFrame, method, length: int) -> float:
        """
        Rolling Percentage Change Maximum across interval.

        :param dataframe: DataFrame The original OHLC dataframe
        :param method: High to Low / Open to Close
        :param length: int The length to look back
        """
        df = dataframe.copy()
        if method == "HL":
            return (
                df["high"].rolling(length).max() - df["low"].rolling(length).min()
            ) / df["low"].rolling(length).min()
        elif method == "OC":
            return (
                df["open"].rolling(length).max() - df["close"].rolling(length).min()
            ) / df["close"].rolling(length).min()
        else:
            raise ValueError(f"Method {method} not defined!")

    def top_percent_change(self, dataframe: DataFrame, length: int) -> float:
        """
        Percentage change of the current close from the range maximum Open price

        :param dataframe: DataFrame The original OHLC dataframe
        :param length: int The length to look back
        """
        df = dataframe.copy()
        if length == 0:
            return (df["open"] - df["close"]) / df["close"]
        else:
            return (df["open"].rolling(length).max() - df["close"]) / df["close"]

    def range_maxgap(self, dataframe: DataFrame, length: int) -> float:
        """
        Maximum Price Gap across interval.

        :param dataframe: DataFrame The original OHLC dataframe
        :param length: int The length to look back
        """
        df = dataframe.copy()
        return df["open"].rolling(length).max() - df["close"].rolling(length).min()

    def range_maxgap_adjusted(
        self, dataframe: DataFrame, length: int, adjustment: float
    ) -> float:
        """
        Maximum Price Gap across interval adjusted.

        :param dataframe: DataFrame The original OHLC dataframe
        :param length: int The length to look back
        :param adjustment: int The adjustment to be applied
        """
        return self.range_maxgap(dataframe, length) / adjustment

    def range_height(self, dataframe: DataFrame, length: int) -> float:
        """
        Current close distance to range bottom.

        :param dataframe: DataFrame The original OHLC dataframe
        :param length: int The length to look back
        """
        df = dataframe.copy()
        return df["close"] - df["close"].rolling(length).min()

    def safe_pump(
        self, dataframe: DataFrame, length: int, thresh: float, pull_thresh: float
    ) -> bool:
        """
        Determine if entry after a pump is safe.

        :param dataframe: DataFrame The original OHLC dataframe
        :param length: int The length to look back
        :param thresh: int Maximum percentage change threshold
        :param pull_thresh: int Pullback from interval maximum threshold
        """
        df = dataframe.copy()
        return (df[f"oc_pct_change_{length}"] < thresh) | (
            self.range_maxgap_adjusted(df, length, pull_thresh)
            > self.range_height(df, length)
        )

    def safe_dips(
        self, dataframe: DataFrame, thresh_0, thresh_2, thresh_12, thresh_144
    ) -> bool:
        """
        Determine if dip is safe to enter.

        :param dataframe: DataFrame The original OHLC dataframe
        :param thresh_0: Threshold value for 0 length top pct change
        :param thresh_2: Threshold value for 2 length top pct change
        :param thresh_12: Threshold value for 12 length top pct change
        :param thresh_144: Threshold value for 144 length top pct change
        """
        return (
            (dataframe["tpct_change_0"] < thresh_0)
            & (dataframe["tpct_change_2"] < thresh_2)
            & (dataframe["tpct_change_12"] < thresh_12)
            & (dataframe["tpct_change_144"] < thresh_144)
        )

    def informative_pairs(self):

        pairs = self.dp.current_whitelist()

        informative_pairs = [(pair, "1h") for pair in pairs]
        return informative_pairs

    def informative_1h_indicators(
        self, dataframe: DataFrame, metadata: dict
    ) -> DataFrame:
        assert self.dp, "DataProvider is required for multiple timeframes."

        informative_1h = self.dp.get_pair_dataframe(
            pair=metadata["pair"], timeframe=self.inf_1h
        )
        informative_1h["ema_fast"] = ta.EMA(informative_1h, timeperiod=20)
        informative_1h["ema_slow"] = ta.EMA(informative_1h, timeperiod=25)
        informative_1h["uptrend"] = (
            informative_1h["ema_fast"] > informative_1h["ema_slow"]
        ).astype("int")

        informative_1h["ema_12"] = ta.EMA(informative_1h, timeperiod=12)
        informative_1h["ema_15"] = ta.EMA(informative_1h, timeperiod=15)
        informative_1h["ema_20"] = ta.EMA(informative_1h, timeperiod=20)
        informative_1h["ema_26"] = ta.EMA(informative_1h, timeperiod=26)
        informative_1h["ema_35"] = ta.EMA(informative_1h, timeperiod=35)
        informative_1h["ema_50"] = ta.EMA(informative_1h, timeperiod=50)
        informative_1h["ema_100"] = ta.EMA(informative_1h, timeperiod=100)
        informative_1h["ema_200"] = ta.EMA(informative_1h, timeperiod=200)

        informative_1h["sma_200"] = ta.SMA(informative_1h, timeperiod=200)
        informative_1h["sma_200_dec_20"] = informative_1h["sma_200"] < informative_1h[
            "sma_200"
        ].shift(20)

        informative_1h["rsi"] = ta.RSI(informative_1h, timeperiod=14)

        bollinger = qtpylib.bollinger_bands(
            qtpylib.typical_price(informative_1h), window=20, stds=2
        )
        informative_1h["bb20_2_low"] = bollinger["lower"]
        informative_1h["bb20_2_mid"] = bollinger["mid"]
        informative_1h["bb20_2_upp"] = bollinger["upper"]

        informative_1h["cmf"] = chaikin_money_flow(informative_1h, 20)

        informative_1h["hl_pct_change_48"] = self.range_percent_change(
            informative_1h, "HL", 48
        )
        informative_1h["hl_pct_change_36"] = self.range_percent_change(
            informative_1h, "HL", 36
        )
        informative_1h["hl_pct_change_24"] = self.range_percent_change(
            informative_1h, "HL", 24
        )
        informative_1h["oc_pct_change_48"] = self.range_percent_change(
            informative_1h, "OC", 48
        )
        informative_1h["oc_pct_change_36"] = self.range_percent_change(
            informative_1h, "OC", 36
        )
        informative_1h["oc_pct_change_24"] = self.range_percent_change(
            informative_1h, "OC", 24
        )
        informative_1h["safe_pump_24_10"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_10_24.value,
            self.buy_pump_pull_threshold_10_24.value,
        )
        informative_1h["safe_pump_36_10"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_10_36.value,
            self.buy_pump_pull_threshold_10_36.value,
        )
        informative_1h["safe_pump_48_10"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_10_48.value,
            self.buy_pump_pull_threshold_10_48.value,
        )
        informative_1h["safe_pump_24_20"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_20_24.value,
            self.buy_pump_pull_threshold_20_24.value,
        )
        informative_1h["safe_pump_36_20"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_20_36.value,
            self.buy_pump_pull_threshold_20_36.value,
        )
        informative_1h["safe_pump_48_20"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_20_48.value,
            self.buy_pump_pull_threshold_20_48.value,
        )
        informative_1h["safe_pump_24_30"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_30_24.value,
            self.buy_pump_pull_threshold_30_24.value,
        )
        informative_1h["safe_pump_36_30"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_30_36.value,
            self.buy_pump_pull_threshold_30_36.value,
        )
        informative_1h["safe_pump_48_30"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_30_48.value,
            self.buy_pump_pull_threshold_30_48.value,
        )
        informative_1h["safe_pump_24_40"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_40_24.value,
            self.buy_pump_pull_threshold_40_24.value,
        )
        informative_1h["safe_pump_36_40"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_40_36.value,
            self.buy_pump_pull_threshold_40_36.value,
        )
        informative_1h["safe_pump_48_40"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_40_48.value,
            self.buy_pump_pull_threshold_40_48.value,
        )
        informative_1h["safe_pump_24_50"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_50_24.value,
            self.buy_pump_pull_threshold_50_24.value,
        )
        informative_1h["safe_pump_36_50"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_50_36.value,
            self.buy_pump_pull_threshold_50_36.value,
        )
        informative_1h["safe_pump_48_50"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_50_48.value,
            self.buy_pump_pull_threshold_50_48.value,
        )
        informative_1h["safe_pump_24_60"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_60_24.value,
            self.buy_pump_pull_threshold_60_24.value,
        )
        informative_1h["safe_pump_36_60"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_60_36.value,
            self.buy_pump_pull_threshold_60_36.value,
        )
        informative_1h["safe_pump_48_60"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_60_48.value,
            self.buy_pump_pull_threshold_60_48.value,
        )
        informative_1h["safe_pump_24_70"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_70_24.value,
            self.buy_pump_pull_threshold_70_24.value,
        )
        informative_1h["safe_pump_36_70"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_70_36.value,
            self.buy_pump_pull_threshold_70_36.value,
        )
        informative_1h["safe_pump_48_70"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_70_48.value,
            self.buy_pump_pull_threshold_70_48.value,
        )
        informative_1h["safe_pump_24_80"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_80_24.value,
            self.buy_pump_pull_threshold_80_24.value,
        )
        informative_1h["safe_pump_36_80"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_80_36.value,
            self.buy_pump_pull_threshold_80_36.value,
        )
        informative_1h["safe_pump_48_80"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_80_48.value,
            self.buy_pump_pull_threshold_80_48.value,
        )
        informative_1h["safe_pump_24_90"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_90_24.value,
            self.buy_pump_pull_threshold_90_24.value,
        )
        informative_1h["safe_pump_36_90"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_90_36.value,
            self.buy_pump_pull_threshold_90_36.value,
        )
        informative_1h["safe_pump_48_90"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_90_48.value,
            self.buy_pump_pull_threshold_90_48.value,
        )
        informative_1h["safe_pump_24_100"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_100_24.value,
            self.buy_pump_pull_threshold_100_24.value,
        )
        informative_1h["safe_pump_36_100"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_100_36.value,
            self.buy_pump_pull_threshold_100_36.value,
        )
        informative_1h["safe_pump_48_100"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_100_48.value,
            self.buy_pump_pull_threshold_100_48.value,
        )
        informative_1h["safe_pump_24_110"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_110_24.value,
            self.buy_pump_pull_threshold_110_24.value,
        )
        informative_1h["safe_pump_36_110"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_110_36.value,
            self.buy_pump_pull_threshold_110_36.value,
        )
        informative_1h["safe_pump_48_110"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_110_48.value,
            self.buy_pump_pull_threshold_110_48.value,
        )
        informative_1h["safe_pump_24_120"] = self.safe_pump(
            informative_1h,
            24,
            self.buy_pump_threshold_120_24.value,
            self.buy_pump_pull_threshold_120_24.value,
        )
        informative_1h["safe_pump_36_120"] = self.safe_pump(
            informative_1h,
            36,
            self.buy_pump_threshold_120_36.value,
            self.buy_pump_pull_threshold_120_36.value,
        )
        informative_1h["safe_pump_48_120"] = self.safe_pump(
            informative_1h,
            48,
            self.buy_pump_threshold_120_48.value,
            self.buy_pump_pull_threshold_120_48.value,
        )
        informative_1h["sell_pump_48_1"] = (
            informative_1h["hl_pct_change_48"] > self.sell_pump_threshold_48_1.value
        )
        informative_1h["sell_pump_48_2"] = (
            informative_1h["hl_pct_change_48"] > self.sell_pump_threshold_48_2.value
        )
        informative_1h["sell_pump_48_3"] = (
            informative_1h["hl_pct_change_48"] > self.sell_pump_threshold_48_3.value
        )
        informative_1h["sell_pump_36_1"] = (
            informative_1h["hl_pct_change_36"] > self.sell_pump_threshold_36_1.value
        )
        informative_1h["sell_pump_36_2"] = (
            informative_1h["hl_pct_change_36"] > self.sell_pump_threshold_36_2.value
        )
        informative_1h["sell_pump_36_3"] = (
            informative_1h["hl_pct_change_36"] > self.sell_pump_threshold_36_3.value
        )
        informative_1h["sell_pump_24_1"] = (
            informative_1h["hl_pct_change_24"] > self.sell_pump_threshold_24_1.value
        )
        informative_1h["sell_pump_24_2"] = (
            informative_1h["hl_pct_change_24"] > self.sell_pump_threshold_24_2.value
        )
        informative_1h["sell_pump_24_3"] = (
            informative_1h["hl_pct_change_24"] > self.sell_pump_threshold_24_3.value
        )
        return informative_1h

    def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:

        bb_40_std2 = qtpylib.bollinger_bands(dataframe["close"], window=40, stds=2)
        dataframe["bb40_2_low"] = bb_40_std2["lower"]
        dataframe["bb40_2_mid"] = bb_40_std2["mid"]
        dataframe["bb40_2_delta"] = (bb_40_std2["mid"] - dataframe["bb40_2_low"]).abs()
        dataframe["closedelta"] = (
            dataframe["close"] - dataframe["close"].shift()
        ).abs()
        dataframe["tail"] = (dataframe["close"] - dataframe["bb40_2_low"]).abs()

        bb_20_std2 = qtpylib.bollinger_bands(
            qtpylib.typical_price(dataframe), window=20, stds=2
        )
        dataframe["bb20_2_low"] = bb_20_std2["lower"]
        dataframe["bb20_2_mid"] = bb_20_std2["mid"]
        dataframe["bb20_2_upp"] = bb_20_std2["upper"]

        dataframe["ema_12"] = ta.EMA(dataframe, timeperiod=12)
        dataframe["ema_15"] = ta.EMA(dataframe, timeperiod=15)
        dataframe["ema_20"] = ta.EMA(dataframe, timeperiod=20)
        dataframe["ema_26"] = ta.EMA(dataframe, timeperiod=26)
        dataframe["ema_35"] = ta.EMA(dataframe, timeperiod=35)
        dataframe["ema_50"] = ta.EMA(dataframe, timeperiod=50)
        dataframe["ema_100"] = ta.EMA(dataframe, timeperiod=100)
        dataframe["ema_200"] = ta.EMA(dataframe, timeperiod=200)
        dataframe["ma_lower"] = ta.SMA(dataframe, timeperiod=15) * 0.953
        dataframe["rsi_fast"] = ta.RSI(dataframe, timeperiod=4)
        dataframe["rsi_slow"] = ta.RSI(dataframe, timeperiod=20)
        dataframe["rsi_slow_descending"] = (
            dataframe["rsi_slow"] < dataframe["rsi_slow"].shift()
        ).astype("int")

        dataframe["sma_5"] = ta.SMA(dataframe, timeperiod=5)
        dataframe["sma_30"] = ta.SMA(dataframe, timeperiod=30)
        dataframe["sma_200"] = ta.SMA(dataframe, timeperiod=200)
        dataframe["sma_200_dec_20"] = dataframe["sma_200"] < dataframe["sma_200"].shift(
            20
        )
        dataframe["sma_200_dec_24"] = dataframe["sma_200"] < dataframe["sma_200"].shift(
            24
        )

        dataframe["mfi"] = ta.MFI(dataframe)

        dataframe["ewo"] = EWO(dataframe, 50, 200)

        dataframe["rsi"] = ta.RSI(dataframe, timeperiod=14)

        dataframe["chop"] = qtpylib.chopiness(dataframe, 14)

        dataframe["zema"] = dema(dataframe, period=61)

        dataframe["tpct_change_0"] = self.top_percent_change(dataframe, 0)
        dataframe["tpct_change_2"] = self.top_percent_change(dataframe, 2)
        dataframe["tpct_change_12"] = self.top_percent_change(dataframe, 12)
        dataframe["tpct_change_144"] = self.top_percent_change(dataframe, 144)
        dataframe["safe_dips_10"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_10_1.value,
            self.buy_dip_threshold_10_2.value,
            self.buy_dip_threshold_10_3.value,
            self.buy_dip_threshold_10_4.value,
        )
        dataframe["safe_dips_20"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_20_1.value,
            self.buy_dip_threshold_20_2.value,
            self.buy_dip_threshold_20_3.value,
            self.buy_dip_threshold_20_4.value,
        )
        dataframe["safe_dips_30"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_30_1.value,
            self.buy_dip_threshold_30_2.value,
            self.buy_dip_threshold_30_3.value,
            self.buy_dip_threshold_30_4.value,
        )
        dataframe["safe_dips_40"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_40_1.value,
            self.buy_dip_threshold_40_2.value,
            self.buy_dip_threshold_40_3.value,
            self.buy_dip_threshold_40_4.value,
        )
        dataframe["safe_dips_50"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_50_1.value,
            self.buy_dip_threshold_50_2.value,
            self.buy_dip_threshold_50_3.value,
            self.buy_dip_threshold_50_4.value,
        )
        dataframe["safe_dips_60"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_60_1.value,
            self.buy_dip_threshold_60_2.value,
            self.buy_dip_threshold_60_3.value,
            self.buy_dip_threshold_60_4.value,
        )
        dataframe["safe_dips_70"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_70_1.value,
            self.buy_dip_threshold_70_2.value,
            self.buy_dip_threshold_70_3.value,
            self.buy_dip_threshold_70_4.value,
        )
        dataframe["safe_dips_80"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_80_1.value,
            self.buy_dip_threshold_80_2.value,
            self.buy_dip_threshold_80_3.value,
            self.buy_dip_threshold_80_4.value,
        )
        dataframe["safe_dips_90"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_90_1.value,
            self.buy_dip_threshold_90_2.value,
            self.buy_dip_threshold_90_3.value,
            self.buy_dip_threshold_90_4.value,
        )
        dataframe["safe_dips_100"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_100_1.value,
            self.buy_dip_threshold_100_2.value,
            self.buy_dip_threshold_100_3.value,
            self.buy_dip_threshold_100_4.value,
        )
        dataframe["safe_dips_110"] = self.safe_dips(
            dataframe,
            self.buy_dip_threshold_110_1.value,
            self.buy_dip_threshold_110_2.value,
            self.buy_dip_threshold_110_3.value,
            self.buy_dip_threshold_110_4.value,
        )

        dataframe["volume_mean_4"] = dataframe["volume"].rolling(4).mean().shift(1)
        dataframe["volume_mean_30"] = dataframe["volume"].rolling(30).mean()
        return dataframe

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:

        informative_1h = self.informative_1h_indicators(dataframe, metadata)
        dataframe = merge_informative_pair(
            dataframe, informative_1h, self.timeframe, self.inf_1h, ffill=True
        )

        dataframe = self.normal_tf_indicators(dataframe, metadata)
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        conditions = []

        conditions.append(
            (dataframe["rsi_slow_descending"].rolling(1).sum() == 1)
            & (dataframe["rsi_fast"] < 35)
            & (dataframe["uptrend_1h"] > 0)
            & (dataframe["close"] < dataframe["ma_lower"])
            & (dataframe["open"] > dataframe["ma_lower"])
            & (dataframe["volume"] > 0)
            & (
                (dataframe["open"] < dataframe["ema_fast_1h"])
                & (dataframe["low"].abs() < dataframe["ema_fast_1h"])
                | (dataframe["open"] > dataframe["ema_fast_1h"])
                & (dataframe["low"].abs() > dataframe["ema_fast_1h"])
            )
        )

        buy_01_protections = [True]
        if self.buy_01_protection__ema_fast.value:
            buy_01_protections.append(
                dataframe[f"ema_{self.buy_01_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_01_protection__ema_slow.value:
            buy_01_protections.append(
                dataframe[f"ema_{self.buy_01_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_01_protection__close_above_ema_fast.value:
            buy_01_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_01_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_01_protection__close_above_ema_slow.value:
            buy_01_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_01_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_01_protection__sma200_rising.value:
            buy_01_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_01_protection__sma200_rising_val.value)
                )
            )
        if self.buy_01_protection__sma200_1h_rising.value:
            buy_01_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_01_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_01_protection__safe_dips.value:
            buy_01_protections.append(
                dataframe[f"safe_dips_{self.buy_01_protection__safe_dips_type.value}"]
            )
        if self.buy_01_protection__safe_pump.value:
            buy_01_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_01_protection__safe_pump_period.value}_{self.buy_01_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_01_logic = []
        buy_01_logic.append(reduce(lambda x, y: x & y, buy_01_protections))
        buy_01_logic.append(
            (dataframe["close"] - dataframe["open"].rolling(36).min())
            / dataframe["open"].rolling(36).min()
            > self.buy_min_inc_1.value
        )
        buy_01_logic.append(dataframe["rsi_1h"] > self.buy_rsi_1h_min_1.value)
        buy_01_logic.append(dataframe["rsi_1h"] < self.buy_rsi_1h_max_1.value)
        buy_01_logic.append(dataframe["rsi"] < self.buy_rsi_1.value)
        buy_01_logic.append(dataframe["mfi"] < self.buy_mfi_1.value)
        buy_01_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_01_trigger"] = reduce(lambda x, y: x & y, buy_01_logic)
        if self.buy_condition_1_enable.value:
            conditions.append(dataframe["buy_01_trigger"])

        buy_02_protections = [True]
        if self.buy_02_protection__ema_fast.value:
            buy_02_protections.append(
                dataframe[f"ema_{self.buy_02_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_02_protection__ema_slow.value:
            buy_02_protections.append(
                dataframe[f"ema_{self.buy_02_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_02_protection__close_above_ema_fast.value:
            buy_02_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_02_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_02_protection__close_above_ema_slow.value:
            buy_02_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_02_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_02_protection__sma200_rising.value:
            buy_02_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_02_protection__sma200_rising_val.value)
                )
            )
        if self.buy_02_protection__sma200_1h_rising.value:
            buy_02_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_02_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_02_protection__safe_dips.value:
            buy_02_protections.append(
                dataframe[f"safe_dips_{self.buy_02_protection__safe_dips_type.value}"]
            )
        if self.buy_02_protection__safe_pump.value:
            buy_02_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_02_protection__safe_pump_period.value}_{self.buy_02_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_02_logic = []
        buy_02_logic.append(reduce(lambda x, y: x & y, buy_02_protections))

        buy_02_logic.append(
            dataframe["rsi"] < dataframe["rsi_1h"] - self.buy_rsi_1h_diff_2.value
        )
        buy_02_logic.append(dataframe["mfi"] < self.buy_mfi_2.value)
        buy_02_logic.append(
            dataframe["close"] < dataframe["bb20_2_low"] * self.buy_bb_offset_2.value
        )
        buy_02_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_02_trigger"] = reduce(lambda x, y: x & y, buy_02_logic)
        if self.buy_condition_2_enable.value:
            conditions.append(dataframe["buy_02_trigger"])

        buy_03_protections = [True]
        if self.buy_03_protection__ema_fast.value:
            buy_03_protections.append(
                dataframe[f"ema_{self.buy_03_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_03_protection__ema_slow.value:
            buy_03_protections.append(
                dataframe[f"ema_{self.buy_03_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_03_protection__close_above_ema_fast.value:
            buy_03_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_03_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_03_protection__close_above_ema_slow.value:
            buy_03_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_03_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_03_protection__sma200_rising.value:
            buy_03_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_03_protection__sma200_rising_val.value)
                )
            )
        if self.buy_03_protection__sma200_1h_rising.value:
            buy_03_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_03_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_03_protection__safe_dips.value:
            buy_03_protections.append(
                dataframe[f"safe_dips_{self.buy_03_protection__safe_dips_type.value}"]
            )
        if self.buy_03_protection__safe_pump.value:
            buy_03_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_03_protection__safe_pump_period.value}_{self.buy_03_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_03_protections.append(
            dataframe["close"] > dataframe["ema_200_1h"] * self.buy_ema_rel_3.value
        )

        buy_03_logic = []
        buy_03_logic.append(reduce(lambda x, y: x & y, buy_03_protections))
        buy_03_logic.append(dataframe["bb40_2_low"].shift().gt(0))
        buy_03_logic.append(
            dataframe["bb40_2_delta"].gt(
                dataframe["close"] * self.buy_bb40_bbdelta_close_3.value
            )
        )
        buy_03_logic.append(
            dataframe["closedelta"].gt(
                dataframe["close"] * self.buy_bb40_closedelta_close_3.value
            )
        )
        buy_03_logic.append(
            dataframe["tail"].lt(
                dataframe["bb40_2_delta"] * self.buy_bb40_tail_bbdelta_3.value
            )
        )
        buy_03_logic.append(dataframe["close"].lt(dataframe["bb40_2_low"].shift()))
        buy_03_logic.append(dataframe["close"].le(dataframe["close"].shift()))
        buy_03_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_03_trigger"] = reduce(lambda x, y: x & y, buy_03_logic)
        if self.buy_condition_3_enable.value:
            conditions.append(dataframe["buy_03_trigger"])

        buy_04_protections = [True]
        if self.buy_04_protection__ema_fast.value:
            buy_04_protections.append(
                dataframe[f"ema_{self.buy_04_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_04_protection__ema_slow.value:
            buy_04_protections.append(
                dataframe[f"ema_{self.buy_04_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_04_protection__close_above_ema_fast.value:
            buy_04_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_04_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_04_protection__close_above_ema_slow.value:
            buy_04_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_04_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_04_protection__sma200_rising.value:
            buy_04_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_04_protection__sma200_rising_val.value)
                )
            )
        if self.buy_04_protection__sma200_1h_rising.value:
            buy_04_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_04_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_04_protection__safe_dips.value:
            buy_04_protections.append(
                dataframe[f"safe_dips_{self.buy_04_protection__safe_dips_type.value}"]
            )
        if self.buy_04_protection__safe_pump.value:
            buy_04_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_04_protection__safe_pump_period.value}_{self.buy_04_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_04_logic = []
        buy_04_logic.append(reduce(lambda x, y: x & y, buy_04_protections))
        buy_04_logic.append(dataframe["close"] < dataframe["ema_50"])
        buy_04_logic.append(
            dataframe["close"]
            < self.buy_bb20_close_bblowerband_4.value * dataframe["bb20_2_low"]
        )
        buy_04_logic.append(
            dataframe["volume"]
            < dataframe["volume_mean_30"].shift(1) * self.buy_bb20_volume_4.value
        )

        dataframe.loc[:, "buy_04_trigger"] = reduce(lambda x, y: x & y, buy_04_logic)
        if self.buy_condition_4_enable.value:
            conditions.append(dataframe["buy_04_trigger"])

        buy_05_protections = [True]
        if self.buy_05_protection__ema_fast.value:
            buy_05_protections.append(
                dataframe[f"ema_{self.buy_05_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_05_protection__ema_slow.value:
            buy_05_protections.append(
                dataframe[f"ema_{self.buy_05_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_05_protection__close_above_ema_fast.value:
            buy_05_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_05_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_05_protection__close_above_ema_slow.value:
            buy_05_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_05_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_05_protection__sma200_rising.value:
            buy_05_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_05_protection__sma200_rising_val.value)
                )
            )
        if self.buy_05_protection__sma200_1h_rising.value:
            buy_05_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_05_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_05_protection__safe_dips.value:
            buy_05_protections.append(
                dataframe[f"safe_dips_{self.buy_05_protection__safe_dips_type.value}"]
            )
        if self.buy_05_protection__safe_pump.value:
            buy_05_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_05_protection__safe_pump_period.value}_{self.buy_05_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_05_protections.append(
            dataframe["close"] > dataframe["ema_200_1h"] * self.buy_ema_rel_5.value
        )

        buy_05_logic = []
        buy_05_logic.append(reduce(lambda x, y: x & y, buy_05_protections))
        buy_05_logic.append(dataframe["ema_26"] > dataframe["ema_12"])
        buy_05_logic.append(
            dataframe["ema_26"] - dataframe["ema_12"]
            > dataframe["open"] * self.buy_ema_open_mult_5.value
        )
        buy_05_logic.append(
            dataframe["ema_26"].shift() - dataframe["ema_12"].shift()
            > dataframe["open"] / 100
        )
        buy_05_logic.append(
            dataframe["close"] < dataframe["bb20_2_low"] * self.buy_bb_offset_5.value
        )
        buy_05_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_05_trigger"] = reduce(lambda x, y: x & y, buy_05_logic)
        if self.buy_condition_5_enable.value:
            conditions.append(dataframe["buy_05_trigger"])

        buy_06_protections = [True]
        if self.buy_06_protection__ema_fast.value:
            buy_06_protections.append(
                dataframe[f"ema_{self.buy_06_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_06_protection__ema_slow.value:
            buy_06_protections.append(
                dataframe[f"ema_{self.buy_06_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_06_protection__close_above_ema_fast.value:
            buy_06_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_06_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_06_protection__close_above_ema_slow.value:
            buy_06_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_06_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_06_protection__sma200_rising.value:
            buy_06_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_06_protection__sma200_rising_val.value)
                )
            )
        if self.buy_06_protection__sma200_1h_rising.value:
            buy_06_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_06_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_06_protection__safe_dips.value:
            buy_06_protections.append(
                dataframe[f"safe_dips_{self.buy_06_protection__safe_dips_type.value}"]
            )
        if self.buy_06_protection__safe_pump.value:
            buy_06_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_06_protection__safe_pump_period.value}_{self.buy_06_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_06_logic = []
        buy_06_logic.append(reduce(lambda x, y: x & y, buy_06_protections))
        buy_06_logic.append(dataframe["ema_26"] > dataframe["ema_12"])
        buy_06_logic.append(
            dataframe["ema_26"] - dataframe["ema_12"]
            > dataframe["open"] * self.buy_ema_open_mult_6.value
        )
        buy_06_logic.append(
            dataframe["ema_26"].shift() - dataframe["ema_12"].shift()
            > dataframe["open"] / 100
        )
        buy_06_logic.append(
            dataframe["close"] < dataframe["bb20_2_low"] * self.buy_bb_offset_6.value
        )
        buy_06_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_06_trigger"] = reduce(lambda x, y: x & y, buy_06_logic)
        if self.buy_condition_6_enable.value:
            conditions.append(dataframe["buy_06_trigger"])

        buy_07_protections = [True]
        if self.buy_07_protection__ema_fast.value:
            buy_07_protections.append(
                dataframe[f"ema_{self.buy_07_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_07_protection__ema_slow.value:
            buy_07_protections.append(
                dataframe[f"ema_{self.buy_07_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_07_protection__close_above_ema_fast.value:
            buy_07_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_07_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_07_protection__close_above_ema_slow.value:
            buy_07_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_07_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_07_protection__sma200_rising.value:
            buy_07_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_07_protection__sma200_rising_val.value)
                )
            )
        if self.buy_07_protection__sma200_1h_rising.value:
            buy_07_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_07_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_07_protection__safe_dips.value:
            buy_07_protections.append(
                dataframe[f"safe_dips_{self.buy_07_protection__safe_dips_type.value}"]
            )
        if self.buy_07_protection__safe_pump.value:
            buy_07_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_07_protection__safe_pump_period.value}_{self.buy_07_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_07_logic = []
        buy_07_logic.append(reduce(lambda x, y: x & y, buy_07_protections))

        buy_07_logic.append(dataframe["ema_26"] > dataframe["ema_12"])
        buy_07_logic.append(
            dataframe["ema_26"] - dataframe["ema_12"]
            > dataframe["open"] * self.buy_ema_open_mult_7.value
        )
        buy_07_logic.append(
            dataframe["ema_26"].shift() - dataframe["ema_12"].shift()
            > dataframe["open"] / 100
        )
        buy_07_logic.append(dataframe["rsi"] < self.buy_rsi_7.value)
        buy_07_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_07_trigger"] = reduce(lambda x, y: x & y, buy_07_logic)
        if self.buy_condition_7_enable.value:
            conditions.append(dataframe["buy_07_trigger"])

        buy_08_protections = [True]
        if self.buy_08_protection__ema_fast.value:
            buy_08_protections.append(
                dataframe[f"ema_{self.buy_08_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_08_protection__ema_slow.value:
            buy_08_protections.append(
                dataframe[f"ema_{self.buy_08_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_08_protection__close_above_ema_fast.value:
            buy_08_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_08_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_08_protection__close_above_ema_slow.value:
            buy_08_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_08_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_08_protection__sma200_rising.value:
            buy_08_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_08_protection__sma200_rising_val.value)
                )
            )
        if self.buy_08_protection__sma200_1h_rising.value:
            buy_08_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_08_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_08_protection__safe_dips.value:
            buy_08_protections.append(
                dataframe[f"safe_dips_{self.buy_08_protection__safe_dips_type.value}"]
            )
        if self.buy_08_protection__safe_pump.value:
            buy_08_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_08_protection__safe_pump_period.value}_{self.buy_08_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_08_logic = []
        buy_08_logic.append(reduce(lambda x, y: x & y, buy_08_protections))
        buy_08_logic.append(dataframe["rsi"] < self.buy_rsi_8.value)
        buy_08_logic.append(
            dataframe["volume"] > dataframe["volume"].shift(1) * self.buy_volume_8.value
        )
        buy_08_logic.append(dataframe["close"] > dataframe["open"])
        buy_08_logic.append(
            dataframe["close"] - dataframe["low"]
            > (dataframe["close"] - dataframe["open"]) * self.buy_tail_diff_8.value
        )
        buy_08_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_08_trigger"] = reduce(lambda x, y: x & y, buy_08_logic)
        if self.buy_condition_8_enable.value:
            conditions.append(dataframe["buy_08_trigger"])

        buy_09_protections = [True]
        if self.buy_09_protection__ema_fast.value:
            buy_09_protections.append(
                dataframe[f"ema_{self.buy_09_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_09_protection__ema_slow.value:
            buy_09_protections.append(
                dataframe[f"ema_{self.buy_09_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_09_protection__close_above_ema_fast.value:
            buy_09_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_09_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_09_protection__close_above_ema_slow.value:
            buy_09_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_09_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_09_protection__sma200_rising.value:
            buy_09_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_09_protection__sma200_rising_val.value)
                )
            )
        if self.buy_09_protection__sma200_1h_rising.value:
            buy_09_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_09_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_09_protection__safe_dips.value:
            buy_09_protections.append(
                dataframe[f"safe_dips_{self.buy_09_protection__safe_dips_type.value}"]
            )
        if self.buy_09_protection__safe_pump.value:
            buy_09_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_09_protection__safe_pump_period.value}_{self.buy_09_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_09_protections.append(dataframe["ema_50"] > dataframe["ema_200"])

        buy_09_logic = []
        buy_09_logic.append(reduce(lambda x, y: x & y, buy_09_protections))

        buy_09_logic.append(
            dataframe["close"] < dataframe["ema_20"] * self.buy_ma_offset_9.value
        )
        buy_09_logic.append(
            dataframe["close"] < dataframe["bb20_2_low"] * self.buy_bb_offset_9.value
        )
        buy_09_logic.append(dataframe["rsi_1h"] > self.buy_rsi_1h_min_9.value)
        buy_09_logic.append(dataframe["rsi_1h"] < self.buy_rsi_1h_max_9.value)
        buy_09_logic.append(dataframe["mfi"] < self.buy_mfi_9.value)
        buy_09_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_09_trigger"] = reduce(lambda x, y: x & y, buy_09_logic)
        if self.buy_condition_9_enable.value:
            conditions.append(dataframe["buy_09_trigger"])

        buy_10_protections = [True]
        if self.buy_10_protection__ema_fast.value:
            buy_10_protections.append(
                dataframe[f"ema_{self.buy_10_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_10_protection__ema_slow.value:
            buy_10_protections.append(
                dataframe[f"ema_{self.buy_10_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_10_protection__close_above_ema_fast.value:
            buy_10_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_10_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_10_protection__close_above_ema_slow.value:
            buy_10_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_10_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_10_protection__sma200_rising.value:
            buy_10_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_10_protection__sma200_rising_val.value)
                )
            )
        if self.buy_10_protection__sma200_1h_rising.value:
            buy_10_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_10_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_10_protection__safe_dips.value:
            buy_10_protections.append(
                dataframe[f"safe_dips_{self.buy_10_protection__safe_dips_type.value}"]
            )
        if self.buy_10_protection__safe_pump.value:
            buy_10_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_10_protection__safe_pump_period.value}_{self.buy_10_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_10_protections.append(dataframe["ema_50_1h"] > dataframe["ema_100_1h"])

        buy_10_logic = []
        buy_10_logic.append(reduce(lambda x, y: x & y, buy_10_protections))
        buy_10_logic.append(
            dataframe["close"] < dataframe["sma_30"] * self.buy_ma_offset_10.value
        )
        buy_10_logic.append(
            dataframe["close"] < dataframe["bb20_2_low"] * self.buy_bb_offset_10.value
        )
        buy_10_logic.append(dataframe["rsi_1h"] < self.buy_rsi_1h_10.value)
        buy_10_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_10_trigger"] = reduce(lambda x, y: x & y, buy_10_logic)
        if self.buy_condition_10_enable.value:
            conditions.append(dataframe["buy_10_trigger"])

        buy_11_protections = [True]
        if self.buy_11_protection__ema_fast.value:
            buy_11_protections.append(
                dataframe[f"ema_{self.buy_11_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_11_protection__ema_slow.value:
            buy_11_protections.append(
                dataframe[f"ema_{self.buy_11_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_11_protection__close_above_ema_fast.value:
            buy_11_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_11_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_11_protection__close_above_ema_slow.value:
            buy_11_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_11_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_11_protection__sma200_rising.value:
            buy_11_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_11_protection__sma200_rising_val.value)
                )
            )
        if self.buy_11_protection__sma200_1h_rising.value:
            buy_11_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_11_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_11_protection__safe_dips.value:
            buy_11_protections.append(
                dataframe[f"safe_dips_{self.buy_11_protection__safe_dips_type.value}"]
            )
        if self.buy_11_protection__safe_pump.value:
            buy_11_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_11_protection__safe_pump_period.value}_{self.buy_11_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_11_protections.append(dataframe["ema_50_1h"] > dataframe["ema_100_1h"])
        buy_11_protections.append(dataframe["safe_pump_36_50_1h"])
        buy_11_protections.append(dataframe["safe_pump_48_100_1h"])

        buy_11_logic = []
        buy_11_logic.append(reduce(lambda x, y: x & y, buy_11_protections))
        buy_11_logic.append(
            (dataframe["close"] - dataframe["open"].rolling(36).min())
            / dataframe["open"].rolling(36).min()
            > self.buy_min_inc_11.value
        )
        buy_11_logic.append(
            dataframe["close"] < dataframe["sma_30"] * self.buy_ma_offset_11.value
        )
        buy_11_logic.append(dataframe["rsi_1h"] > self.buy_rsi_1h_min_11.value)
        buy_11_logic.append(dataframe["rsi_1h"] < self.buy_rsi_1h_max_11.value)
        buy_11_logic.append(dataframe["rsi"] < self.buy_rsi_11.value)
        buy_11_logic.append(dataframe["mfi"] < self.buy_mfi_11.value)
        buy_11_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_11_trigger"] = reduce(lambda x, y: x & y, buy_11_logic)
        if self.buy_condition_11_enable.value:
            conditions.append(dataframe["buy_11_trigger"])

        buy_12_protections = [True]
        if self.buy_12_protection__ema_fast.value:
            buy_12_protections.append(
                dataframe[f"ema_{self.buy_12_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_12_protection__ema_slow.value:
            buy_12_protections.append(
                dataframe[f"ema_{self.buy_12_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_12_protection__close_above_ema_fast.value:
            buy_12_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_12_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_12_protection__close_above_ema_slow.value:
            buy_12_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_12_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_12_protection__sma200_rising.value:
            buy_12_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_12_protection__sma200_rising_val.value)
                )
            )
        if self.buy_12_protection__sma200_1h_rising.value:
            buy_12_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_12_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_12_protection__safe_dips.value:
            buy_12_protections.append(
                dataframe[f"safe_dips_{self.buy_12_protection__safe_dips_type.value}"]
            )
        if self.buy_12_protection__safe_pump.value:
            buy_12_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_12_protection__safe_pump_period.value}_{self.buy_12_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_12_logic = []
        buy_12_logic.append(reduce(lambda x, y: x & y, buy_12_protections))

        buy_12_logic.append(
            dataframe["close"] < dataframe["sma_30"] * self.buy_ma_offset_12.value
        )
        buy_12_logic.append(dataframe["ewo"] > self.buy_ewo_12.value)
        buy_12_logic.append(dataframe["rsi"] < self.buy_rsi_12.value)
        buy_12_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_12_trigger"] = reduce(lambda x, y: x & y, buy_12_logic)
        if self.buy_condition_12_enable.value:
            conditions.append(dataframe["buy_12_trigger"])

        buy_13_protections = [True]
        if self.buy_13_protection__ema_fast.value:
            buy_13_protections.append(
                dataframe[f"ema_{self.buy_13_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_13_protection__ema_slow.value:
            buy_13_protections.append(
                dataframe[f"ema_{self.buy_13_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_13_protection__close_above_ema_fast.value:
            buy_13_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_13_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_13_protection__close_above_ema_slow.value:
            buy_13_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_13_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_13_protection__sma200_rising.value:
            buy_13_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_13_protection__sma200_rising_val.value)
                )
            )
        if self.buy_13_protection__sma200_1h_rising.value:
            buy_13_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_13_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_13_protection__safe_dips.value:
            buy_13_protections.append(
                dataframe[f"safe_dips_{self.buy_13_protection__safe_dips_type.value}"]
            )
        if self.buy_13_protection__safe_pump.value:
            buy_13_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_13_protection__safe_pump_period.value}_{self.buy_13_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_13_protections.append(dataframe["ema_50_1h"] > dataframe["ema_100_1h"])

        buy_13_logic = []
        buy_13_logic.append(reduce(lambda x, y: x & y, buy_13_protections))

        buy_13_logic.append(
            dataframe["close"] < dataframe["sma_30"] * self.buy_ma_offset_13.value
        )
        buy_13_logic.append(dataframe["ewo"] < self.buy_ewo_13.value)
        buy_13_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_13_trigger"] = reduce(lambda x, y: x & y, buy_13_logic)
        if self.buy_condition_13_enable.value:
            conditions.append(dataframe["buy_13_trigger"])

        buy_14_protections = [True]
        if self.buy_14_protection__ema_fast.value:
            buy_14_protections.append(
                dataframe[f"ema_{self.buy_14_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_14_protection__ema_slow.value:
            buy_14_protections.append(
                dataframe[f"ema_{self.buy_14_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_14_protection__close_above_ema_fast.value:
            buy_14_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_14_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_14_protection__close_above_ema_slow.value:
            buy_14_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_14_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_14_protection__sma200_rising.value:
            buy_14_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_14_protection__sma200_rising_val.value)
                )
            )
        if self.buy_14_protection__sma200_1h_rising.value:
            buy_14_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_14_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_14_protection__safe_dips.value:
            buy_14_protections.append(
                dataframe[f"safe_dips_{self.buy_14_protection__safe_dips_type.value}"]
            )
        if self.buy_14_protection__safe_pump.value:
            buy_14_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_14_protection__safe_pump_period.value}_{self.buy_14_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_14_logic = []
        buy_14_logic.append(reduce(lambda x, y: x & y, buy_14_protections))

        buy_14_logic.append(dataframe["ema_26"] > dataframe["ema_12"])
        buy_14_logic.append(
            dataframe["ema_26"] - dataframe["ema_12"]
            > dataframe["open"] * self.buy_ema_open_mult_14.value
        )
        buy_14_logic.append(
            dataframe["ema_26"].shift() - dataframe["ema_12"].shift()
            > dataframe["open"] / 100
        )
        buy_14_logic.append(
            dataframe["close"] < dataframe["bb20_2_low"] * self.buy_bb_offset_14.value
        )
        buy_14_logic.append(
            dataframe["close"] < dataframe["ema_20"] * self.buy_ma_offset_14.value
        )
        buy_14_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_14_trigger"] = reduce(lambda x, y: x & y, buy_14_logic)
        if self.buy_condition_14_enable.value:
            conditions.append(dataframe["buy_14_trigger"])

        buy_15_protections = [True]
        if self.buy_15_protection__ema_fast.value:
            buy_15_protections.append(
                dataframe[f"ema_{self.buy_15_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_15_protection__ema_slow.value:
            buy_15_protections.append(
                dataframe[f"ema_{self.buy_15_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_15_protection__close_above_ema_fast.value:
            buy_15_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_15_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_15_protection__close_above_ema_slow.value:
            buy_15_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_15_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_15_protection__sma200_rising.value:
            buy_15_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_15_protection__sma200_rising_val.value)
                )
            )
        if self.buy_15_protection__sma200_1h_rising.value:
            buy_15_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_15_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_15_protection__safe_dips.value:
            buy_15_protections.append(
                dataframe[f"safe_dips_{self.buy_15_protection__safe_dips_type.value}"]
            )
        if self.buy_15_protection__safe_pump.value:
            buy_15_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_15_protection__safe_pump_period.value}_{self.buy_15_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_15_protections.append(
            dataframe["close"] > dataframe["ema_200_1h"] * self.buy_ema_rel_15.value
        )

        buy_15_logic = []
        buy_15_logic.append(reduce(lambda x, y: x & y, buy_15_protections))
        buy_15_logic.append(dataframe["ema_26"] > dataframe["ema_12"])
        buy_15_logic.append(
            dataframe["ema_26"] - dataframe["ema_12"]
            > dataframe["open"] * self.buy_ema_open_mult_15.value
        )
        buy_15_logic.append(
            dataframe["ema_26"].shift() - dataframe["ema_12"].shift()
            > dataframe["open"] / 100
        )
        buy_15_logic.append(dataframe["rsi"] < self.buy_rsi_15.value)
        buy_15_logic.append(
            dataframe["close"] < dataframe["ema_20"] * self.buy_ma_offset_15.value
        )
        buy_15_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_15_trigger"] = reduce(lambda x, y: x & y, buy_15_logic)
        if self.buy_condition_15_enable.value:
            conditions.append(dataframe["buy_15_trigger"])

        buy_16_protections = [True]
        if self.buy_16_protection__ema_fast.value:
            buy_16_protections.append(
                dataframe[f"ema_{self.buy_16_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_16_protection__ema_slow.value:
            buy_16_protections.append(
                dataframe[f"ema_{self.buy_16_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_16_protection__close_above_ema_fast.value:
            buy_16_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_16_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_16_protection__close_above_ema_slow.value:
            buy_16_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_16_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_16_protection__sma200_rising.value:
            buy_16_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_16_protection__sma200_rising_val.value)
                )
            )
        if self.buy_16_protection__sma200_1h_rising.value:
            buy_16_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_16_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_16_protection__safe_dips.value:
            buy_16_protections.append(
                dataframe[f"safe_dips_{self.buy_16_protection__safe_dips_type.value}"]
            )
        if self.buy_16_protection__safe_pump.value:
            buy_16_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_16_protection__safe_pump_period.value}_{self.buy_16_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_16_logic = []
        buy_16_logic.append(reduce(lambda x, y: x & y, buy_16_protections))

        buy_16_logic.append(
            dataframe["close"] < dataframe["ema_20"] * self.buy_ma_offset_16.value
        )
        buy_16_logic.append(dataframe["ewo"] > self.buy_ewo_16.value)
        buy_16_logic.append(dataframe["rsi"] < self.buy_rsi_16.value)
        buy_16_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_16_trigger"] = reduce(lambda x, y: x & y, buy_16_logic)
        if self.buy_condition_16_enable.value:
            conditions.append(dataframe["buy_16_trigger"])

        buy_17_protections = [True]
        if self.buy_17_protection__ema_fast.value:
            buy_17_protections.append(
                dataframe[f"ema_{self.buy_17_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_17_protection__ema_slow.value:
            buy_17_protections.append(
                dataframe[f"ema_{self.buy_17_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_17_protection__close_above_ema_fast.value:
            buy_17_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_17_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_17_protection__close_above_ema_slow.value:
            buy_17_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_17_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_17_protection__sma200_rising.value:
            buy_17_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_17_protection__sma200_rising_val.value)
                )
            )
        if self.buy_17_protection__sma200_1h_rising.value:
            buy_17_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_17_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_17_protection__safe_dips.value:
            buy_17_protections.append(
                dataframe[f"safe_dips_{self.buy_17_protection__safe_dips_type.value}"]
            )
        if self.buy_17_protection__safe_pump.value:
            buy_17_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_17_protection__safe_pump_period.value}_{self.buy_17_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_17_logic = []
        buy_17_logic.append(reduce(lambda x, y: x & y, buy_17_protections))
        buy_17_logic.append(
            dataframe["close"] < dataframe["ema_20"] * self.buy_ma_offset_17.value
        )
        buy_17_logic.append(dataframe["ewo"] < self.buy_ewo_17.value)
        buy_17_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_17_trigger"] = reduce(lambda x, y: x & y, buy_17_logic)
        if self.buy_condition_17_enable.value:
            conditions.append(dataframe["buy_17_trigger"])

        buy_18_protections = [True]
        if self.buy_18_protection__ema_fast.value:
            buy_18_protections.append(
                dataframe[f"ema_{self.buy_18_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_18_protection__ema_slow.value:
            buy_18_protections.append(
                dataframe[f"ema_{self.buy_18_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_18_protection__close_above_ema_fast.value:
            buy_18_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_18_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_18_protection__close_above_ema_slow.value:
            buy_18_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_18_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_18_protection__sma200_rising.value:
            buy_18_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_18_protection__sma200_rising_val.value)
                )
            )
        if self.buy_18_protection__sma200_1h_rising.value:
            buy_18_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_18_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_18_protection__safe_dips.value:
            buy_18_protections.append(
                dataframe[f"safe_dips_{self.buy_18_protection__safe_dips_type.value}"]
            )
        if self.buy_18_protection__safe_pump.value:
            buy_18_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_18_protection__safe_pump_period.value}_{self.buy_18_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_18_protections.append(dataframe["sma_200"] > dataframe["sma_200"].shift(20))
        buy_18_protections.append(
            dataframe["sma_200_1h"] > dataframe["sma_200_1h"].shift(36)
        )

        buy_18_logic = []
        buy_18_logic.append(reduce(lambda x, y: x & y, buy_18_protections))

        buy_18_logic.append(dataframe["rsi"] < self.buy_rsi_18.value)
        buy_18_logic.append(
            dataframe["close"] < dataframe["bb20_2_low"] * self.buy_bb_offset_18.value
        )
        buy_18_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_18_trigger"] = reduce(lambda x, y: x & y, buy_18_logic)
        if self.buy_condition_18_enable.value:
            conditions.append(dataframe["buy_18_trigger"])

        buy_19_protections = [True]
        if self.buy_19_protection__ema_fast.value:
            buy_19_protections.append(
                dataframe[f"ema_{self.buy_19_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_19_protection__ema_slow.value:
            buy_19_protections.append(
                dataframe[f"ema_{self.buy_19_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_19_protection__close_above_ema_fast.value:
            buy_19_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_19_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_19_protection__close_above_ema_slow.value:
            buy_19_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_19_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_19_protection__sma200_rising.value:
            buy_19_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_19_protection__sma200_rising_val.value)
                )
            )
        if self.buy_19_protection__sma200_1h_rising.value:
            buy_19_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_19_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_19_protection__safe_dips.value:
            buy_19_protections.append(
                dataframe[f"safe_dips_{self.buy_19_protection__safe_dips_type.value}"]
            )
        if self.buy_19_protection__safe_pump.value:
            buy_19_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_19_protection__safe_pump_period.value}_{self.buy_19_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_19_protections.append(dataframe["ema_50_1h"] > dataframe["ema_200_1h"])

        buy_19_logic = []
        buy_19_logic.append(reduce(lambda x, y: x & y, buy_19_protections))
        buy_19_logic.append(dataframe["close"].shift(1) > dataframe["ema_100_1h"])
        buy_19_logic.append(dataframe["low"] < dataframe["ema_100_1h"])
        buy_19_logic.append(dataframe["close"] > dataframe["ema_100_1h"])
        buy_19_logic.append(dataframe["rsi_1h"] > self.buy_rsi_1h_min_19.value)
        buy_19_logic.append(dataframe["chop"] < self.buy_chop_min_19.value)
        buy_19_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_19_trigger"] = reduce(lambda x, y: x & y, buy_19_logic)
        if self.buy_condition_19_enable.value:
            conditions.append(dataframe["buy_19_trigger"])

        buy_20_protections = [True]
        if self.buy_20_protection__ema_fast.value:
            buy_20_protections.append(
                dataframe[f"ema_{self.buy_20_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_20_protection__ema_slow.value:
            buy_20_protections.append(
                dataframe[f"ema_{self.buy_20_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_20_protection__close_above_ema_fast.value:
            buy_20_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_20_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_20_protection__close_above_ema_slow.value:
            buy_20_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_20_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_20_protection__sma200_rising.value:
            buy_20_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_20_protection__sma200_rising_val.value)
                )
            )
        if self.buy_20_protection__sma200_1h_rising.value:
            buy_20_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_20_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_20_protection__safe_dips.value:
            buy_20_protections.append(
                dataframe[f"safe_dips_{self.buy_20_protection__safe_dips_type.value}"]
            )
        if self.buy_20_protection__safe_pump.value:
            buy_20_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_20_protection__safe_pump_period.value}_{self.buy_20_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_20_logic = []
        buy_20_logic.append(reduce(lambda x, y: x & y, buy_20_protections))

        buy_20_logic.append(dataframe["rsi"] < self.buy_rsi_20.value)
        buy_20_logic.append(dataframe["rsi_1h"] < self.buy_rsi_1h_20.value)
        buy_20_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_20_trigger"] = reduce(lambda x, y: x & y, buy_20_logic)
        if self.buy_condition_20_enable.value:
            conditions.append(dataframe["buy_20_trigger"])

        buy_21_protections = [True]
        if self.buy_21_protection__ema_fast.value:
            buy_21_protections.append(
                dataframe[f"ema_{self.buy_21_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_21_protection__ema_slow.value:
            buy_21_protections.append(
                dataframe[f"ema_{self.buy_21_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_21_protection__close_above_ema_fast.value:
            buy_21_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_21_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_21_protection__close_above_ema_slow.value:
            buy_21_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_21_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_21_protection__sma200_rising.value:
            buy_21_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_21_protection__sma200_rising_val.value)
                )
            )
        if self.buy_21_protection__sma200_1h_rising.value:
            buy_21_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_21_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_21_protection__safe_dips.value:
            buy_21_protections.append(
                dataframe[f"safe_dips_{self.buy_21_protection__safe_dips_type.value}"]
            )
        if self.buy_21_protection__safe_pump.value:
            buy_21_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_21_protection__safe_pump_period.value}_{self.buy_21_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_21_logic = []
        buy_21_logic.append(reduce(lambda x, y: x & y, buy_21_protections))

        buy_21_logic.append(dataframe["rsi"] < self.buy_rsi_21.value)
        buy_21_logic.append(dataframe["rsi_1h"] < self.buy_rsi_1h_21.value)
        buy_21_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_21_trigger"] = reduce(lambda x, y: x & y, buy_21_logic)
        if self.buy_condition_21_enable.value:
            conditions.append(dataframe["buy_21_trigger"])

        buy_22_protections = [True]
        if self.buy_22_protection__ema_fast.value:
            buy_22_protections.append(
                dataframe[f"ema_{self.buy_22_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_22_protection__ema_slow.value:
            buy_22_protections.append(
                dataframe[f"ema_{self.buy_22_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_22_protection__close_above_ema_fast.value:
            buy_22_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_22_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_22_protection__close_above_ema_slow.value:
            buy_22_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_22_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_22_protection__sma200_rising.value:
            buy_22_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_22_protection__sma200_rising_val.value)
                )
            )
        if self.buy_22_protection__sma200_1h_rising.value:
            buy_22_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_22_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_22_protection__safe_dips.value:
            buy_22_protections.append(
                dataframe[f"safe_dips_{self.buy_22_protection__safe_dips_type.value}"]
            )
        if self.buy_22_protection__safe_pump.value:
            buy_22_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_22_protection__safe_pump_period.value}_{self.buy_22_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_22_protections.append(
            dataframe["ema_100_1h"] > dataframe["ema_100_1h"].shift(12)
        )
        buy_22_protections.append(
            dataframe["ema_200_1h"] > dataframe["ema_200_1h"].shift(36)
        )

        buy_22_logic = []
        buy_22_logic.append(reduce(lambda x, y: x & y, buy_22_protections))
        buy_22_logic.append(
            dataframe["volume_mean_4"] * self.buy_volume_22.value > dataframe["volume"]
        )
        buy_22_logic.append(
            dataframe["close"] < dataframe["sma_30"] * self.buy_ma_offset_22.value
        )
        buy_22_logic.append(
            dataframe["close"] < dataframe["bb20_2_low"] * self.buy_bb_offset_22.value
        )
        buy_22_logic.append(dataframe["ewo"] > self.buy_ewo_22.value)
        buy_22_logic.append(dataframe["rsi"] < self.buy_rsi_22.value)
        buy_22_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_22_trigger"] = reduce(lambda x, y: x & y, buy_22_logic)
        if self.buy_condition_22_enable.value:
            conditions.append(dataframe["buy_22_trigger"])

        buy_23_protections = [True]
        if self.buy_23_protection__ema_fast.value:
            buy_23_protections.append(
                dataframe[f"ema_{self.buy_23_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_23_protection__ema_slow.value:
            buy_23_protections.append(
                dataframe[f"ema_{self.buy_23_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_23_protection__close_above_ema_fast.value:
            buy_23_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_23_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_23_protection__close_above_ema_slow.value:
            buy_23_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_23_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_23_protection__sma200_rising.value:
            buy_23_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_23_protection__sma200_rising_val.value)
                )
            )
        if self.buy_23_protection__sma200_1h_rising.value:
            buy_23_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_23_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_23_protection__safe_dips.value:
            buy_23_protections.append(
                dataframe[f"safe_dips_{self.buy_23_protection__safe_dips_type.value}"]
            )
        if self.buy_23_protection__safe_pump.value:
            buy_23_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_23_protection__safe_pump_period.value}_{self.buy_23_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_23_logic = []
        buy_23_logic.append(reduce(lambda x, y: x & y, buy_23_protections))
        buy_23_logic.append(
            dataframe["close"] < dataframe["bb20_2_low"] * self.buy_bb_offset_23.value
        )
        buy_23_logic.append(dataframe["ewo"] > self.buy_ewo_23.value)
        buy_23_logic.append(dataframe["rsi"] < self.buy_rsi_23.value)
        buy_23_logic.append(dataframe["rsi_1h"] < self.buy_rsi_1h_23.value)
        buy_23_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_23_trigger"] = reduce(lambda x, y: x & y, buy_23_logic)
        if self.buy_condition_23_enable.value:
            conditions.append(dataframe["buy_23_trigger"])

        buy_24_protections = [True]
        if self.buy_24_protection__ema_fast.value:
            buy_24_protections.append(
                dataframe[f"ema_{self.buy_24_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_24_protection__ema_slow.value:
            buy_24_protections.append(
                dataframe[f"ema_{self.buy_24_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_24_protection__close_above_ema_fast.value:
            buy_24_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_24_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_24_protection__close_above_ema_slow.value:
            buy_24_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_24_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_24_protection__sma200_rising.value:
            buy_24_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_24_protection__sma200_rising_val.value)
                )
            )
        if self.buy_24_protection__sma200_1h_rising.value:
            buy_24_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_24_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_24_protection__safe_dips.value:
            buy_24_protections.append(
                dataframe[f"safe_dips_{self.buy_24_protection__safe_dips_type.value}"]
            )
        if self.buy_24_protection__safe_pump.value:
            buy_24_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_24_protection__safe_pump_period.value}_{self.buy_24_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_24_logic = []
        buy_24_logic.append(reduce(lambda x, y: x & y, buy_24_protections))
        buy_24_logic.append(
            dataframe["ema_12_1h"].shift(12) < dataframe["ema_35_1h"].shift(12)
        )
        buy_24_logic.append(
            dataframe["ema_12_1h"].shift(12) < dataframe["ema_35_1h"].shift(12)
        )
        buy_24_logic.append(dataframe["ema_12_1h"] > dataframe["ema_35_1h"])
        buy_24_logic.append(dataframe["cmf_1h"].shift(12) < 0)
        buy_24_logic.append(dataframe["cmf_1h"] > 0)
        buy_24_logic.append(dataframe["rsi"] < self.buy_24_rsi_max.value)
        buy_24_logic.append(dataframe["rsi_1h"] > self.buy_24_rsi_1h_min.value)
        buy_24_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_24_trigger"] = reduce(lambda x, y: x & y, buy_24_logic)
        if self.buy_condition_24_enable.value:
            conditions.append(dataframe["buy_24_trigger"])

        buy_26_protections = [True]
        if self.buy_26_protection__ema_fast.value:
            buy_26_protections.append(
                dataframe[f"ema_{self.buy_26_protection__ema_fast_len.value}"]
                > dataframe["ema_200"]
            )
        if self.buy_26_protection__ema_slow.value:
            buy_26_protections.append(
                dataframe[f"ema_{self.buy_26_protection__ema_slow_len.value}_1h"]
                > dataframe["ema_200_1h"]
            )
        if self.buy_26_protection__close_above_ema_fast.value:
            buy_26_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_26_protection__close_above_ema_fast_len.value}"
                ]
            )
        if self.buy_26_protection__close_above_ema_slow.value:
            buy_26_protections.append(
                dataframe["close"]
                > dataframe[
                    f"ema_{self.buy_26_protection__close_above_ema_slow_len.value}_1h"
                ]
            )
        if self.buy_26_protection__sma200_rising.value:
            buy_26_protections.append(
                dataframe["sma_200"]
                > dataframe["sma_200"].shift(
                    int(self.buy_26_protection__sma200_rising_val.value)
                )
            )
        if self.buy_26_protection__sma200_1h_rising.value:
            buy_26_protections.append(
                dataframe["sma_200_1h"]
                > dataframe["sma_200_1h"].shift(
                    int(self.buy_26_protection__sma200_1h_rising_val.value)
                )
            )
        if self.buy_26_protection__safe_dips.value:
            buy_26_protections.append(
                dataframe[f"safe_dips_{self.buy_26_protection__safe_dips_type.value}"]
            )
        if self.buy_26_protection__safe_pump.value:
            buy_26_protections.append(
                dataframe[
                    f"safe_pump_{self.buy_26_protection__safe_pump_period.value}_{self.buy_26_protection__safe_pump_type.value}_1h"
                ]
            )

        buy_26_logic = []
        buy_26_logic.append(reduce(lambda x, y: x & y, buy_26_protections))
        buy_26_logic.append(
            dataframe["close"] < dataframe["zema"] * self.buy_26_zema_low_offset.value
        )
        buy_26_logic.append(dataframe["volume"] > 0)

        dataframe.loc[:, "buy_26_trigger"] = reduce(lambda x, y: x & y, buy_26_logic)
        if self.buy_condition_26_enable.value:
            conditions.append(dataframe["buy_26_trigger"])
        if conditions:
            dataframe.loc[reduce(lambda x, y: x | y, conditions), "enter_long"] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        conditions = []
        conditions.append(
            self.sell_condition_1_enable.value
            & (dataframe["rsi"] > self.sell_rsi_bb_1.value)
            & (dataframe["close"] > dataframe["bb20_2_upp"])
            & (dataframe["close"].shift(1) > dataframe["bb20_2_upp"].shift(1))
            & (dataframe["close"].shift(2) > dataframe["bb20_2_upp"].shift(2))
            & (dataframe["close"].shift(3) > dataframe["bb20_2_upp"].shift(3))
            & (dataframe["close"].shift(4) > dataframe["bb20_2_upp"].shift(4))
            & (dataframe["close"].shift(5) > dataframe["bb20_2_upp"].shift(5))
            & (dataframe["volume"] > 0)
        )
        conditions.append(
            self.sell_condition_2_enable.value
            & (dataframe["rsi"] > self.sell_rsi_bb_2.value)
            & (dataframe["close"] > dataframe["bb20_2_upp"])
            & (dataframe["close"].shift(1) > dataframe["bb20_2_upp"].shift(1))
            & (dataframe["close"].shift(2) > dataframe["bb20_2_upp"].shift(2))
            & (dataframe["volume"] > 0)
        )
        conditions.append(
            self.sell_condition_3_enable.value
            & (dataframe["rsi"] > self.sell_rsi_main_3.value)
            & (dataframe["volume"] > 0)
        )
        conditions.append(
            self.sell_condition_4_enable.value
            & (dataframe["rsi"] > self.sell_dual_rsi_rsi_4.value)
            & (dataframe["rsi_1h"] > self.sell_dual_rsi_rsi_1h_4.value)
            & (dataframe["volume"] > 0)
        )
        conditions.append(
            self.sell_condition_6_enable.value
            & (dataframe["close"] < dataframe["ema_200"])
            & (dataframe["close"] > dataframe["ema_50"])
            & (dataframe["rsi"] > self.sell_rsi_under_6.value)
            & (dataframe["volume"] > 0)
        )
        conditions.append(
            self.sell_condition_7_enable.value
            & (dataframe["rsi_1h"] > self.sell_rsi_1h_7.value)
            & qtpylib.crossed_below(dataframe["ema_12"], dataframe["ema_26"])
            & (dataframe["volume"] > 0)
        )
        conditions.append(
            self.sell_condition_8_enable.value
            & (
                dataframe["close"]
                > dataframe["bb20_2_upp_1h"] * self.sell_bb_relative_8.value
            )
            & (dataframe["volume"] > 0)
        )
        if conditions:
            dataframe.loc[reduce(lambda x, y: x | y, conditions), "exit_long"] = 1
        return dataframe


def EWO(dataframe, sma1_length=5, sma2_length=35):
    df = dataframe.copy()
    sma1 = ta.EMA(df, timeperiod=sma1_length)
    sma2 = ta.EMA(df, timeperiod=sma2_length)
    smadif = (sma1 - sma2) / df["close"] * 100
    return smadif


def chaikin_money_flow(dataframe, n=20, fillna=False):
    """Chaikin Money Flow (CMF)
    It measures the amount of Money Flow Volume over a specific period.
    http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:chaikin_money_flow_cmf
    Args:
        dataframe(pandas.Dataframe): dataframe containing ohlcv
        n(int): n period.
        fillna(bool): if True, fill nan values.
    Returns:
        pandas.Series: New feature generated.
    """
    df = dataframe.copy()
    mfv = (df["close"] - df["low"] - (df["high"] - df["close"])) / (
        df["high"] - df["low"]
    )
    mfv = mfv.fillna(0.0)  # float division by zero
    mfv *= df["volume"]
    cmf = (
        mfv.rolling(n, min_periods=0).sum()
        / df["volume"].rolling(n, min_periods=0).sum()
    )
    if fillna:
        cmf = cmf.replace([np.inf, -np.inf], np.nan).fillna(0)
    return Series(cmf, name="cmf")