{ "cells": [ { "cell_type": "markdown", "id": "187597fb", "metadata": {}, "source": [ "# Target Percent Pipeline Algorithm\n", "\n", "利用pipeline提供的買賣清單與持股權重進行定期再平衡的演算法。" ] }, { "cell_type": "markdown", "id": "0e9e591b", "metadata": {}, "source": [ "\n", "本文件包含以下部份：\n", "\n", "**基本設定**\n", "1. [Set Environment Variables](#Env)\n", "2. [Investment Universe](#Universe)\n", "3. [Ingest](#Ingest)\n", "4. [Imports](#Imports)\n", "5. [Pipeline](#Pipeline)\n", "\n", "**參數說明與範例**\n", "\n", "6. [API Reference](#APIReference)：參數說明。\n", " - [class zipline.algo.pipeline_algo.TargetPercentPipeAlgo](#APIReference)\n", " - [class zipline.api.date_rules](#date_rules)\n", "\n", "\n", "7. [Examples](#Examples)：範例。\n", " - [Case 1－調整start_session與end_session](#Case1)\n", " - [Case 2－調整max_leverage](#Case2)\n", " - [Case 3－調整tradeday](#Case3)\n", " - [Case 4－調整rebalance_date_rule](#Case4)\n", " - [Case 5－調整slippage_model](#Case5)\n", " - [Case 6－調整stocklist](#Case6)\n", " - [Case 7－調整order_filling_policy](#Case7)\n", " - [Case 8－調整allow_short](#Case8)\n", " - [Case 9－調整cancel_datedelta](#Case9) \n", " - [Case 10－調整limit_buy_multiplier](#Case10) \n", " - [Case 11－調整custom_weight、analyze、record_vars、get_record_vars與get_transaction_detail](#Case11) " ] }, { "cell_type": "markdown", "id": "ca705b69", "metadata": {}, "source": [ "\n", "# 1. Set Environment Variables\n", "[Return to Menu](#menu)" ] }, { "cell_type": "code", "execution_count": 1, "id": "56e4a167", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import datetime\n", "import tejapi\n", "import os\n", "\n", "# set tej_key and base\n", "os.environ['TEJAPI_KEY'] = \"your key\" \n", "os.environ['TEJAPI_BASE'] = \"https://api.tej.com.tw\"\n", "\n", "# set benchmark\n", "benchmark=['IR0001']\n", "\n", "# set calendar\n", "calendar_name='TEJ_XTAI'\n", "\n", "# set bundle name\n", "bundle_name = 'tquant'\n", "\n", "# set date\n", "start='2023-06-01'\n", "end='2023-10-03'\n", "\n", "# 由文字型態轉為Timestamp，供回測使用\n", "tz = 'UTC'\n", "start_dt, end_dt = pd.Timestamp(start, tz = tz), pd.Timestamp(end, tz = tz)\n", "\n", "# 設定os.environ['mdate'] = start+' '+end，供ingest bundle使用\n", "os.environ['mdate'] = start+' '+end" ] }, { "cell_type": "markdown", "id": "cca6c2d4", "metadata": {}, "source": [ "\n", "# 2. Investment Universe\n", "\n", "台灣50指數成分股\n", "\n", "[Return to Menu](#menu)" ] }, { "cell_type": "code", "execution_count": 2, "id": "43f4cd2b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Currently used TEJ API key call quota 67/9223372036854775807 (0.0%)\n", "Currently used TEJ API key data quota 2255014/9223372036854775807 (0.0%)\n", "55\n" ] } ], "source": [ "from zipline.sources.TEJ_Api_Data import get_universe\n", "\n", "StockList = get_universe(start, end, idx_id='IX0002')\n", "\n", "print(len(StockList))" ] }, { "cell_type": "code", "execution_count": 3, "id": "d619fe91", "metadata": {}, "outputs": [], "source": [ "os.environ['ticker'] = ' '.join(StockList + benchmark)" ] }, { "cell_type": "code", "execution_count": 4, "id": "95c990e0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'1101 1216 1301 1303 1326 1402 1590 1605 2002 2207 2301 2303 2308 2317 2327 2330 2345 2357 2379 2382 2395 2408 2412 2454 2603 2609 2615 2801 2880 2881 2882 2883 2884 2885 2886 2887 2890 2891 2892 2912 3008 3034 3037 3045 3231 3711 4904 4938 5871 5876 5880 6415 6505 6669 9910 IR0001'" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "os.environ['ticker']" ] }, { "cell_type": "markdown", "id": "265c87fe", "metadata": {}, "source": [ "\n", "# 3. Ingest\n", "[Return to Menu](#menu)" ] }, { "cell_type": "code", "execution_count": 5, "id": "c3154c0a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Merging daily equity files:\n", "Currently used TEJ API key call quota 72/9223372036854775807 (0.0%)\n", "Currently used TEJ API key data quota 2261479/9223372036854775807 (0.0%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:40:44.060855] INFO: zipline.data.bundles.core: Ingesting tquant.\n", "[2024-03-13 02:40:49.764291] INFO: zipline.data.bundles.core: Ingest tquant successfully.\n" ] } ], "source": [ "# Ingest pricing bundle\n", "!zipline ingest -b tquant" ] }, { "cell_type": "code", "execution_count": 6, "id": "2075094b", "metadata": {}, "outputs": [], "source": [ "from zipline.data.data_portal import get_bundle_price\n", "\n", "df_bundle_price = get_bundle_price(bundle_name=bundle_name,\n", " calendar_name=calendar_name,\n", " start_dt=start_dt,\n", " end_dt=end_dt)" ] }, { "cell_type": "markdown", "id": "f8fb1d18", "metadata": {}, "source": [ "\n", "# 4. Imports & Settings\n", "[Return to Menu](#menu)" ] }, { "cell_type": "code", "execution_count": 7, "id": "cdccd2a7", "metadata": {}, "outputs": [], "source": [ "import warnings\n", "warnings.filterwarnings('ignore')" ] }, { "cell_type": "code", "execution_count": 8, "id": "791e97f2", "metadata": {}, "outputs": [], "source": [ "from time import time\n", "import numpy as np\n", "import pandas as pd\n", "import empyrical as ep\n", "\n", "from logbook import Logger, StderrHandler, INFO, WARNING\n", "import matplotlib.pyplot as plt\n", "from matplotlib.ticker import MaxNLocator\n", "\n", "\n", "from TejToolAPI.TejToolAPI import *\n", "\n", "from zipline.api import record\n", "\n", "from zipline.utils.calendar_utils import get_calendar\n", "from zipline.utils.run_algo import (get_transaction_detail,\n", " get_record_vars)\n", "\n", "from zipline.pipeline import Pipeline, CustomFactor\n", "from zipline.pipeline.filters import SingleAsset\n", "from zipline.pipeline.factors import RSI\n", "from zipline.pipeline.data import TQAltDataSet\n", "\n", "from zipline.finance import slippage\n", "\n", "from zipline.TQresearch.tej_pipeline import run_pipeline\n", "\n", "# 設定log顯示方式\n", "log_handler = StderrHandler(format_string='[{record.time:%Y-%m-%d %H:%M:%S.%f}]: ' +\n", " '{record.level_name}: {record.func_name}: {record.message}',\n", " level=INFO)\n", "log_handler.push_application()\n", "log = Logger('Algorithm')" ] }, { "cell_type": "code", "execution_count": 9, "id": "eb8c720b", "metadata": {}, "outputs": [], "source": [ "import warnings\n", "warnings.filterwarnings('ignore')" ] }, { "cell_type": "markdown", "id": "79ba3e35", "metadata": {}, "source": [ "\n", "# 5. Pipeline\n", "\n", "取得`Market_Cap_Dollars`（市值）資料\n", "\n", "[Return to Menu](#menu)" ] }, { "cell_type": "code", "execution_count": 10, "id": "4f38d0a5", "metadata": {}, "outputs": [], "source": [ "col = ['Market_Cap_Dollars']\n", "\n", "fields = ''\n", "for i in col:\n", " fields += i\n", " fields += ' '\n", "\n", "os.environ['fields'] = fields" ] }, { "cell_type": "code", "execution_count": 11, "id": "c07fb831", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Currently used TEJ API key call quota 83/9223372036854775807 (0.0%)\n", "Currently used TEJ API key data quota 2298569/9223372036854775807 (0.0%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:40:54.272410] INFO: zipline.data.bundles.core: Ingesting fundamentals.\n", "[2024-03-13 02:41:05.038363] INFO: zipline.data.bundles.core: Ingest fundamentals successfully.\n" ] } ], "source": [ "# Ingest Fundamental Bundle\n", "!zipline ingest -b fundamentals" ] }, { "cell_type": "markdown", "id": "f9d00526", "metadata": {}, "source": [ "\n", "# 6. API Reference\n", "[Return to Menu](#menu)" ] }, { "cell_type": "markdown", "id": "84ed8c17", "metadata": {}, "source": [ "### **class zipline.algo.pipeline_algo.TargetPercentPipeAlgo** \n", "*(self, bundle_name='tquant', start_session=None, end_session=None, trading_calendar=get_calendar('TEJ_XTAI'),*\n", "\n", "*capital_base=1e7, data_frequency='daily', tradeday=None, rebalance_date_rule=None, stocklist=None, benchmark='IR0001',* \n", "\n", "*zero_treasury_returns=True, slippage_model=slippage.VolumeShareSlippage(volume_limit=0.025, price_impact=0.1),*\n", "\n", "*commission_model=commission.Custom_TW_Commission(min_trade_cost=20, discount = 1.0, tax = 0.003), max_leverage=0.8,* \n", "\n", "*limit_buy_multiplier=None, limit_sell_multiplier=None, allow_short=False, cancel_datedelta=None, custom_weight=False,*\n", "\n", "*custom_loader=None, pipeline=None, analyze=None, record_vars=None, get_record_vars=False, get_transaction_detail=False,*\n", "\n", "*order_filling_policy='next_bar')*\n", "\n", "利用pipeline提供的買賣清單與持股權重進行定期再平衡的演算法。必要參數僅有`pipeline`。\n", "\n", "\n", "#### Parameters:\n", "\n", "- **bundle_name** (*str, optional*)－bundle名稱。預設是 **`'tquant'`**。 \n", "\n", "\n", "- **start_session** (*pd.Timestamp or datetime, optional*)－回測起始日期。預設是**bundle中最早的資料日期**。 \n", "\n", "\n", "- **end_session** (*pd.Timestamp or datetime, optional*)－回測結束日期。預設是**bundle中最晚的資料日期**。 \n", "\n", "\n", "- **trading_calendar** (*TradingCalendar, optional*)－\n", " - 設置交易日曆。預設是 **`get_calendar('TEJ_XTAI')`**。\n", " - TradingCalendar：`zipline.utils.calendar_utils.TradingCalendar`。 \n", "\n", "\n", "- **capital_base** (*float, optional*)－初始資金額度。預設是**一千萬**。 \n", "\n", "\n", "- **data_frequency** (*{'daily', 'minute'}, optional*)－資料頻率，目前僅支援日頻率 **`'daily'`**。 \n", "\n", "\n", "- **tradeday** (*list[str] or list[pd.Timestamp] or pd.DatetimeIndex, optional*)－\n", " - 交易日期清單，限制只能在這個清單中的日期進行交易。預設是**None**，代表**每日**都交易。\n", " - `rebalance_date_rule`與`tradeday`請擇一設定，若兩者皆設定，則會以`rebalance_date_rule`為主。 \n", "\n", "\n", "- **rebalance_date_rule**(*EventRule, optional*)－\n", " - 交易頻率，設定固定的交易頻率。預設是**None**，代表**每日**都交易。\n", " - `rebalance_date_rule`與`tradeday`請擇一設定，若兩者皆設定，則會以`rebalance_date_rule`為主。\n", " - EventRule：`zipline.utils.events.EventRule`。可使用的`rebalance_date_rule`參考[zipline.api.date_rules](#date_rules)。 \n", "\n", "\n", "- **stocklist** (*list[str], optional*)－交易清單，限制只能交易這個清單中的股票。預設是**None**，代表使用所有bundle中的股票。 \n", "\n", "\n", "- **benchmark** (*str, optional*)－指數名稱，用來與投資組合報酬率比較。預設是`'IR0001'`，代表**台灣發行量加權股價報酬指數**。 \n", "\n", "\n", "- **zero_treasury_returns** (*bool, optional*)－\n", " - 是否將無風險利率設定為0，預設是**True**，代表設定為0。因此使用`algo.run()`產出的回測報表中，`treasury_return`與`treasury_period_return`皆會是0。\n", " - 若設定為**False**，則會耗費額外API流量，並取得第一銀行一年期定存利率作為無風險利率。 \n", "\n", "\n", "- **slippage_model** (*SlippageModel, optional*)－\n", " - 設定滑價模型。預設為`slippage.VolumeShareSlippage(volume_limit=0.025, price_impact=0.1)`。可使用的模型參考：[lecture/Zipline Slippage.ipynb](https://github.com/tejtw/TQuant-Lab/blob/main/lecture/Zipline%20Slippage.ipynb)\n", " - SlippageModel：`zipline.finance.slippage.SlippageModel`。\n", "\n", "\n", "- **commission_model** (*CommissionModel, optional*)－\n", " - 設定手續費模型。預設為`commission.Custom_TW_Commission(min_trade_cost=20, discount=1.0, tax = 0.003)`。可使用的模型參考：[lecture/Zipline Commission Models.ipynb](https://github.com/tejtw/TQuant-Lab/blob/main/lecture/Zipline%20Commission%20Models.ipynb)\n", " - CommissionModel：`zipline.finance.commission.CommissionModel`\n", "\n", "\n", "- **max_leverage** (*float, optional*)－槓桿限制，預設 = **0.8**。 \n", "\n", "\n", "- **limit_buy_multiplier** (*float, optional*)－\n", " - 買進／回補時的limit_price乘數，若有提供則limit_price = 下單時最近一筆收盤價 * `limit_buy_multiplier`。\n", " - 預設為**None**，代表**不設定**買進／回補時的limit_price。 \n", "\n", "\n", "- **limit_sell_multiplier** (*float, optional*)－\n", " - 賣出／放空時的limit_price乘數，若有提供則limit_price = 下單時最近一筆收盤價 * `limit_sell_multiplier`。\n", " - 預設為**None**，代表**不設定**賣出／放空時的limit_price。 \n", "\n", "\n", "- **allow_short** (*bool, optional*)－是否允許放空股票，預設為**False**，代表僅能做多。若設定為**True**，則pipeline中需要有`shorts`欄位。 \n", "\n", "\n", "- **cancel_datedelta** (*int, optional*)－訂單幾天內未完全成交就取消。預設是在**下一次再平衡**時取消。 \n", "\n", "\n", "- **custom_weight** (*bool, optional*)－\n", " - 是否要使用自訂的加權權數，預設為**False**，代表不使用（即等權重加權）。\n", " - 若設定為**True**，則pipeline中需要有`long_weights`（若`allow_short`=True，則也須有`short_weights`）欄位。\n", "\n", "\n", "- **custom_loader** (*PipelineLoader , optional*)－\n", " - 用來取得價量以外資料，預設是**None**，代表不使用價量、`TQDataSet`與`TQAltDataSet`以外資料。\n", " - TQDataSet：`zipline.pipeline.data.TQDataSet`\n", " - TQAltDataSet：`zipline.pipeline.data.TQAltDataSet`\n", " - 目前支援的`PipelineLoader`：\n", " - DataFrameLoader（`zipline.pipeline.loaders.frame.DataFrameLoader`）。\n", "\n", "\n", "- **pipeline** (*Pipeline*)－\n", " - 要用來產出交易清單或權重的pipeline，為**必要參數**。\n", " - Pipeline：`zipline.pipeline.Pipeline`\n", "\n", "\n", "- **analyze** (*callable[(context, pd.DataFrame) -> None], optional*)－\n", " - 傳入`analyze`函式以用於回測，函式中必須要有`context`與`perf`參數，預設是**None**。\n", " - 此函式在**回測結束**時被一次性呼叫，並繪製自訂圖表。\n", "\n", "\n", "- **record_vars** (*callable[(context, BarData) -> None], optional*)－\n", " - 傳入`record_vars`函式以用於回測，函式中必須要有`context`與`data`參數，預設是**None**。\n", " - 此函式在**每個交易日結束**時被呼叫，並把指定資料紀錄於回測結果的DataFrame中。\n", "\n", "\n", "- **get_record_vars** (*bool, optional*)－\n", " - 是否產出`record_vars`中`record`方法所記錄的變數，預設為**False**，代表不產出。\n", " - 若設定為**True**，則可用`algo.dict_record_vars`取出。\n", "\n", "\n", "- **get_transaction_detail** (*bool, optional*)－\n", " - 是否產出交易結果，預設為**False**，代表不產出。\n", " - 若設定為**True**，則可用`algo.positions`、`algo.transactions`、`algo.orders`方式取出交易結果。\n", "\n", "\n", "- **order_filling_policy** (*str, optional*)－\n", " - 設定交易方式，預設為**next_bar**，代表當天收盤後下單，隔一日收盤前成交，也就是原先的回測方式。\n", " - 若要當天開盤前下單，收盤前成交，則需指定設定為**current_bar**。\n", "\n", " \n", "#### Returns:\n", " algo\n", "\n", "#### Return type:\n", " zipline.algo.pipeline_algo.TargetPercentPipeAlgo\n", "\n", "\n", "
\n", "\n", "\n", "\n", "\n", "
\n", "\n", "**run()**\n", ">\n", "> 執行演算法\n", "> \n", "> **Returns:**\n", "> - perf（回測報表）\n", "> \n", "> **Return type:**\n", "> - pd.DataFrame" ] }, { "cell_type": "markdown", "id": "bf545e00", "metadata": {}, "source": [ "\n", "### **class zipline.api.date_rules**\n", "[Return to Menu](#menu)\n", "\n", "- 為Factory API，主要用來傳入`zipline.api.schedule_function`的`date_rule`參數中。用來決定要以何種頻率觸發某項規則。\n", "- 使用前請先import：`from zipline.api import date_rules`。\n", "---\n", "\n", "*static* **every_day**()\n", "> \n", "> 每日觸發某項規則。\n", "> \n", "> **Returns:**\n", "> - rule\n", "> \n", "> **Return type:**\n", "> - zipline.utils.events.EventRule\n", "\n", "
\n", "\n", "*static* **month_end**(days_offset=0)\n", "> \n", "> 每個月底觸發某項規則，並可以選擇性的新增一個偏移量。\n", "> \n", "> **Parameters:**\n", "> - **days_offset**(*int , optional*)：\n", "> - 在月底之前的第幾個交易日（由0開始計算）觸發某項規則。預設值是0，即在月底的最後一個交易日觸發。\n", "> - days_offset只能介於0~22之間。 \n", "> \n", "> **Returns:**\n", "> - rule\n", "> \n", "> **Return type:**\n", "> - zipline.utils.events.EventRule\n", "\n", "\n", "
\n", "\n", "*static* **month_start**(days_offset=0)\n", "> \n", "> 每個月初觸發某項規則，並可以選擇性的新增一個偏移量。\n", "> \n", "> **Parameters:**\n", "> - **days_offset**(*int , optional*)：\n", "> - 在月初之後的第幾個交易日（由0開始計算）才觸發某項規則。預設值是0，即在月初的第一個交易日觸發。\n", "> - days_offset只能介於0~22之間。 \n", "> \n", "> **Returns:**\n", "> - rule\n", "> \n", "> **Return type:**\n", "> - zipline.utils.events.EventRule\n", "\n", "\n", "
\n", "\n", "*static* **week_end**(days_offset=0)\n", "> \n", "> 在每周最後一個交易日觸發某項規則，並可以選擇性的新增一個偏移量。\n", "> \n", "> **Parameters:**\n", "> - **days_offset**(*int , optional*)：\n", "> - 在每周倒數第幾個交易日（由0開始計算）觸發某項規則。預設值是0，即在每周的最後一個交易日觸發。\n", "> - days_offset只能介於0~4之間。 \n", ">\n", "> **Returns:**\n", "> - rule\n", "> \n", "> **Return type:**\n", "> - zipline.utils.events.EventRule\n", "\n", "\n", "
\n", "\n", "*static* **week_start**(days_offset=0)\n", "> \n", "> 在每周的第一個交易日觸發某項規則，並可以選擇性的新增一個偏移量。\n", "> \n", "> **Parameters:**\n", "> - **days_offset**(*int , optional*)：\n", "> - 在每周的第幾個交易日（由0開始計算）才觸發某項規則。預設值是0，即在每周的第一個交易日觸發。\n", "> - days_offset只能介於0~4之間。\n", "> \n", "> **Returns:**\n", "> - rule\n", "> \n", "> **Return type:**\n", "> - zipline.utils.events.EventRule" ] }, { "cell_type": "markdown", "id": "2c604230", "metadata": {}, "source": [ "\n", "# 7. Examples\n", "[Return to Menu](#menu)" ] }, { "cell_type": "code", "execution_count": 12, "id": "66727b77", "metadata": {}, "outputs": [], "source": [ "from zipline.utils.algo_instance import get_algo_instance, set_algo_instance\n", "from zipline.algo.pipeline_algo import TargetPercentPipeAlgo" ] }, { "cell_type": "markdown", "id": "f6fcbd21", "metadata": {}, "source": [ "\n", "## Case 1 調整start_session與end_session\n", "\n", "[Return to Menu](#menu)\n", "\n", "僅調整`start_session`與`end_session`。其餘保持預設值。\n", "\n", "以下設定pipeline（`make_pipeline()`），並定義`longs`欄位用來判斷須持有的股票。在`longs`欄位中要持有的股票標記為True，反之標記為False。" ] }, { "cell_type": "code", "execution_count": 13, "id": "f9422b03", "metadata": {}, "outputs": [], "source": [ "from zipline.data import bundles\n", "\n", "bundle = bundles.load(bundle_name)\n", "\n", "def make_pipeline():\n", " rsi = RSI()\n", " longs = rsi.top(2, mask = ~SingleAsset(bundle.asset_finder.lookup_symbol('IR0001', as_of_date=None)))\n", "\n", " return Pipeline(\n", " \n", " columns = {\n", " \"longs\" : longs,\n", " }\n", " )" ] }, { "cell_type": "code", "execution_count": 14, "id": "d71866d9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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longs
2023-09-22 00:00:00+00:00Equity(6 [1590])True
Equity(24 [2603])True
2023-09-25 00:00:00+00:00Equity(25 [2609])True
Equity(34 [2886])True
2023-09-26 00:00:00+00:00Equity(33 [2885])True
Equity(34 [2886])True
2023-09-27 00:00:00+00:00Equity(25 [2609])True
Equity(34 [2886])True
2023-09-28 00:00:00+00:00Equity(6 [1590])True
Equity(34 [2886])True
2023-10-02 00:00:00+00:00Equity(24 [2603])True
Equity(34 [2886])True
2023-10-03 00:00:00+00:00Equity(6 [1590])True
Equity(14 [2327])True
\n", "
" ], "text/plain": [ " longs\n", "2023-09-22 00:00:00+00:00 Equity(6 [1590]) True\n", " Equity(24 [2603]) True\n", "2023-09-25 00:00:00+00:00 Equity(25 [2609]) True\n", " Equity(34 [2886]) True\n", "2023-09-26 00:00:00+00:00 Equity(33 [2885]) True\n", " Equity(34 [2886]) True\n", "2023-09-27 00:00:00+00:00 Equity(25 [2609]) True\n", " Equity(34 [2886]) True\n", "2023-09-28 00:00:00+00:00 Equity(6 [1590]) True\n", " Equity(34 [2886]) True\n", "2023-10-02 00:00:00+00:00 Equity(24 [2603]) True\n", " Equity(34 [2886]) True\n", "2023-10-03 00:00:00+00:00 Equity(6 [1590]) True\n", " Equity(14 [2327]) True" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "algo_start = '2023-09-21'\n", "algo_start_dt = pd.Timestamp(algo_start, tz = tz)\n", "\n", "result = run_pipeline(make_pipeline(), algo_start, end)\n", "result.query('longs == True')" ] }, { "cell_type": "markdown", "id": "ff65c792", "metadata": {}, "source": [ "### 執行演算法\n", "1. 實體化`TargetPercentPipeAlgo`並命名為`algo`。\n", "2. 設定演算法：`set_algo_instance(algo)`\n", "3. 執行演算法，並產出回測報表`stats`（*pd.DataFrame*）：`stats = algo.run()`" ] }, { "cell_type": "code", "execution_count": 15, "id": "89d070c4", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:05.491033]: INFO: rebalance: Cancel_order: current time: 2023-09-22 , created: 2023-09-21 , asset: Equity(46 [4904]), amount: 55478 , filled: 51900\n", "[2024-03-13 02:41:05.499675]: INFO: rebalance: Cancel_order: current time: 2023-09-25 , created: 2023-09-25 , asset: Equity(46 [4904]), amount: -14450 , filled: 0\n", "[2024-03-13 02:41:05.504262]: INFO: earn_dividends: Equity(6 [1590]), cash_dividend amount: 13.43905496, pay_date: 2023-10-30, div_owed: 54616.31935744\n", "[2024-03-13 02:41:05.505924]: INFO: handle_split: after split: asset: Equity(6 [1590]), amount: 4062, cost_basis: 982.73, last_sale_price: 981.0\n", "[2024-03-13 02:41:05.506228]: INFO: handle_split: returning cash: 643.94\n", "[2024-03-13 02:41:05.549641]: INFO: handle_simulation_end: Simulated 8 trading days\n", "first open: 2023-09-21 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] } ], "source": [ "algo = TargetPercentPipeAlgo(\n", " start_session=algo_start_dt,\n", " end_session=end_dt,\n", " pipeline=make_pipeline,\n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "markdown", "id": "5eed25d7", "metadata": {}, "source": [ "查看演算法中的參數設定" ] }, { "cell_type": "code", "execution_count": 16, "id": "9fc7dab6", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "TargetPercentPipeAlgo(\n", " sim_params = \n", "SimulationParameters(\n", " start_session=2023-09-21 00:00:00+00:00,\n", " end_session=2023-10-03 00:00:00+00:00,\n", " capital_base=10000000.0,\n", " data_frequency=daily,\n", " emission_rate=daily,\n", " first_open=2023-09-21 01:01:00+00:00,\n", " last_close=2023-10-03 05:30:00+00:00,\n", " trading_calendar=\n", "),\n", " benchmark = IR0001,\n", " zero treasury returns or not（if \"True\" then treasury returns = 0）= True,\n", " max_leverage = 0.8,\n", " slippage model used = VolumeShareSlippage(\n", " volume_limit=0.025,\n", " price_impact=0.1),\n", " commission_model = Custom_TW_Commission(min_trade_cost=20.0),\n", " liquidity_risk_management_rule = None,\n", " order_filling_policy = next_bar,\n", " adjust amount or not = False,\n", " limit_buy_multiplier = None,\n", " limit_sell_multiplier = None,\n", " allow short or not（if \"False\" then long only）= False,\n", " use custom weight or not（if not then \"equal weighted\"）= False,\n", " cancel_datedelta（if \"None\" then cancel open orders at next rebalance date）= None,\n", " stocklist = ['1101', '1216', '1301', '1303', '1326', '1402', '1590', '1605', '2002', '2207', '2301', '2303', '2308', '2317', '2327', '2330', '2345', '2357', '2379', '2382', '2395', '2408', '2412', '2454', '2603', '2609', '2615', '2801', '2880', '2881', '2882', '2883', '2884', '2885', '2886', '2887', '2890', '2891', '2892', '2912', '3008', '3034', '3037', '3045', '3231', '3711', '4904', '4938', '5871', '5876', '5880', '6415', '6505', '6669', '9910', 'IR0001'],\n", " tradeday = DatetimeIndex(['2023-09-21 00:00:00+00:00', '2023-09-22 00:00:00+00:00',\n", " '2023-09-25 00:00:00+00:00', '2023-09-26 00:00:00+00:00',\n", " '2023-09-27 00:00:00+00:00', '2023-09-28 00:00:00+00:00',\n", " '2023-10-02 00:00:00+00:00', '2023-10-03 00:00:00+00:00'],\n", " dtype='datetime64[ns, UTC]', freq='C'),\n", " rebalance_date_rule（If the \"rebalance_date_rule\" parameter is provided, then ignore the \"tradeday\" parameter.\"） \n", " = None,\n", " get transaction detail or not = False,\n", " blotter = SimulationBlotter(\n", " slippage_models={: VolumeShareSlippage(\n", " volume_limit=0.025,\n", " price_impact=0.1), : VolatilityVolumeShare(volume_limit=0.05, eta=)},\n", " commission_models={: Custom_TW_Commission(min_trade_cost=20.0), : PerContract(cost_per_contract=0.85, exchange_fee=, min_trade_cost=0)},\n", " open_orders=defaultdict(, {Equity(24 [2603]): [Order({'id': '307a0683715641db990a5ac44c1077bf', 'dt': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'amount': -33982, 'filled': 0, 'commission': 0, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(24 [2603]), 'status': })], Equity(34 [2886]): [Order({'id': 'e5f6a3c19d2d4465ad5f0592eb6578c5', 'dt': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'amount': -102579, 'filled': 0, 'commission': 0, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(34 [2886]), 'status': })], Equity(6 [1590]): [Order({'id': '4545f498f583429d8c867307ac34f9d5', 'dt': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'amount': 3846, 'filled': 0, 'commission': 0, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(6 [1590]), 'status': })], Equity(14 [2327]): [Order({'id': '11c46077c2b549c9ab4c156f697053f6', 'dt': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'amount': 7381, 'filled': 0, 'commission': 0, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(14 [2327]), 'status': })]}),\n", " orders={'bdcb9758340444948f3af991c6b2478b': Order({'id': 'bdcb9758340444948f3af991c6b2478b', 'dt': Timestamp('2023-09-22 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-21 05:30:00+0000', tz='UTC'), 'amount': 106951, 'filled': 106951, 'commission': 5761, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(34 [2886]), 'status': }), 'acc3c2d89f8e48c3bc42daa9e8d81560': Order({'id': 'acc3c2d89f8e48c3bc42daa9e8d81560', 'dt': Timestamp('2023-09-22 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-21 05:30:00+0000', tz='UTC'), 'amount': 55478, 'filled': 51900, 'commission': 5333, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(46 [4904]), 'status': }), '91e9060255b8480c88251ce5ed781b49': Order({'id': '91e9060255b8480c88251ce5ed781b49', 'dt': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-22 05:30:00+0000', tz='UTC'), 'amount': -106951, 'filled': -106951, 'commission': 17985, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(34 [2886]), 'status': }), '71a11f3296354834956e3a801721c806': Order({'id': '71a11f3296354834956e3a801721c806', 'dt': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-22 05:30:00+0000', tz='UTC'), 'amount': -51900, 'filled': -37450, 'commission': 12081, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(46 [4904]), 'status': }), '2777dbff1bbd48188466187cc31e69d3': Order({'id': '2777dbff1bbd48188466187cc31e69d3', 'dt': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-22 05:30:00+0000', tz='UTC'), 'amount': 34894, 'filled': 34894, 'commission': 5768, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(24 [2603]), 'status': }), '1ec8dcf092f84220a87650c5db8959fc': Order({'id': '1ec8dcf092f84220a87650c5db8959fc', 'dt': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-22 05:30:00+0000', tz='UTC'), 'amount': 4064, 'filled': 4064, 'commission': 5682, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(6 [1590]), 'status': }), 'f39524a1508142c9af7306307956f8e9': Order({'id': 'f39524a1508142c9af7306307956f8e9', 'dt': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'amount': -14450, 'filled': 0, 'commission': 0, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(46 [4904]), 'status': }), 'dc7128121a9d40d182ec3d9d4d465492': Order({'id': 'dc7128121a9d40d182ec3d9d4d465492', 'dt': Timestamp('2023-09-26 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'amount': -34894, 'filled': -34894, 'commission': 17835, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(24 [2603]), 'status': }), 'ceec5c24911044baba3d8c0abab96960': Order({'id': 'ceec5c24911044baba3d8c0abab96960', 'dt': Timestamp('2023-09-26 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'amount': -14450, 'filled': -14450, 'commission': 4649, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(46 [4904]), 'status': }), 'c55dc4e5611246698718518b5ad46860': Order({'id': 'c55dc4e5611246698718518b5ad46860', 'dt': Timestamp('2023-09-26 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'amount': -4062, 'filled': -4062, 'commission': 17221, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(6 [1590]), 'status': }), '5ca0608910f8443a9c2ec23de6c1ab6f': Order({'id': '5ca0608910f8443a9c2ec23de6c1ab6f', 'dt': Timestamp('2023-09-26 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'amount': 87136, 'filled': 87136, 'commission': 5706, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(25 [2609]), 'status': }), 'aafbcc931d8e4f87adb21686aeb0f227': Order({'id': 'aafbcc931d8e4f87adb21686aeb0f227', 'dt': Timestamp('2023-09-26 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-25 05:30:00+0000', tz='UTC'), 'amount': 105366, 'filled': 105366, 'commission': 5684, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(34 [2886]), 'status': }), '153b35815aa44224aebbd79d673403b2': Order({'id': '153b35815aa44224aebbd79d673403b2', 'dt': Timestamp('2023-09-27 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-26 05:30:00+0000', tz='UTC'), 'amount': -87136, 'filled': -87136, 'commission': 17699, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(25 [2609]), 'status': }), 'b397a24cd315420683b711b7c933abc3': Order({'id': 'b397a24cd315420683b711b7c933abc3', 'dt': Timestamp('2023-09-27 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-26 05:30:00+0000', tz='UTC'), 'amount': 157495, 'filled': 157495, 'commission': 5645, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(33 [2885]), 'status': }), '2f3a95e39fd840dc8aca520f0c36f6b1': Order({'id': '2f3a95e39fd840dc8aca520f0c36f6b1', 'dt': Timestamp('2023-09-27 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-26 05:30:00+0000', tz='UTC'), 'amount': -1339, 'filled': -1339, 'commission': 224, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(34 [2886]), 'status': }), '1ebe571a863a415297cd8aa1bc2b07b9': Order({'id': '1ebe571a863a415297cd8aa1bc2b07b9', 'dt': Timestamp('2023-09-28 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-27 05:30:00+0000', tz='UTC'), 'amount': -157495, 'filled': -157495, 'commission': 17458, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(33 [2885]), 'status': }), '432d560b9e99476d846b3675db5b2d44': Order({'id': '432d560b9e99476d846b3675db5b2d44', 'dt': Timestamp('2023-09-28 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-27 05:30:00+0000', tz='UTC'), 'amount': 85400, 'filled': 85400, 'commission': 5532, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(25 [2609]), 'status': }), '9fb1d769ef504f44b2dd544653e997c2': Order({'id': '9fb1d769ef504f44b2dd544653e997c2', 'dt': Timestamp('2023-09-28 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-27 05:30:00+0000', tz='UTC'), 'amount': -51, 'filled': -51, 'commission': 26.0, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(34 [2886]), 'status': }), '5a76b96aecf749d683699d19b7fc687c': Order({'id': '5a76b96aecf749d683699d19b7fc687c', 'dt': Timestamp('2023-10-02 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-28 05:30:00+0000', tz='UTC'), 'amount': -85400, 'filled': -85400, 'commission': 16799, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(25 [2609]), 'status': }), 'c2f1f413dea8434f9ef69b9f58c40810': Order({'id': 'c2f1f413dea8434f9ef69b9f58c40810', 'dt': Timestamp('2023-10-02 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-28 05:30:00+0000', tz='UTC'), 'amount': -412, 'filled': -412, 'commission': 70, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(34 [2886]), 'status': }), 'c2c40f199a7f4f7a85e33a6f0fd9c3d7': Order({'id': 'c2c40f199a7f4f7a85e33a6f0fd9c3d7', 'dt': Timestamp('2023-10-02 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-09-28 05:30:00+0000', tz='UTC'), 'amount': 3988, 'filled': 3988, 'commission': 5712, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(6 [1590]), 'status': }), '40c0549e04914d8db877272facf233f9': Order({'id': '40c0549e04914d8db877272facf233f9', 'dt': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'reason': None, 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'307a0683715641db990a5ac44c1077bf': Order({'id': '307a0683715641db990a5ac44c1077bf', 'dt': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'amount': -33982, 'filled': 0, 'commission': 0, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(24 [2603]), 'status': }), 'e5f6a3c19d2d4465ad5f0592eb6578c5': Order({'id': 'e5f6a3c19d2d4465ad5f0592eb6578c5', 'dt': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'amount': -102579, 'filled': 0, 'commission': 0, 'stop': None, 'limit': None, 'stop_reached': False, 'limit_reached': False, 'sid': Equity(34 [2886]), 'status': }), '4545f498f583429d8c867307ac34f9d5': Order({'id': '4545f498f583429d8c867307ac34f9d5', 'dt': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'reason': None, 'created': Timestamp('2023-10-03 05:30:00+0000', tz='UTC'), 'amount': 3846, 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2023-09-21 13:30:00+08:002023-09-22 13:30:00+08:002023-09-25 13:30:00+08:002023-09-26 13:30:00+08:002023-09-27 13:30:00+08:002023-09-28 13:30:00+08:002023-10-02 13:30:00+08:002023-10-03 13:30:00+08:00
period_open2023-09-21 09:01:00+08:002023-09-22 09:01:00+08:002023-09-25 09:01:00+08:002023-09-26 09:01:00+08:002023-09-27 09:01:00+08:002023-09-28 09:01:00+08:002023-10-02 09:01:00+08:002023-10-03 09:01:00+08:00
period_close2023-09-21 13:30:00+08:002023-09-22 13:30:00+08:002023-09-25 13:30:00+08:002023-09-26 13:30:00+08:002023-09-27 13:30:00+08:002023-09-28 13:30:00+08:002023-10-02 13:30:00+08:002023-10-03 13:30:00+08:00
starting_cash10000000.010000000.02203905.142427921903.8760361851480.4465351916878.6939421959492.6593211740449.09152
ending_cash10000000.02203905.142427921903.8760361851480.4465351916878.6939421959492.6593211740449.091521979378.550691
portfolio_value10000000.09988642.94242710009796.8760369843482.7465359799695.8439429760817.8593219642395.491529596488.900691
transactions[][{'amount': 106951, 'dt': 2023-09-22 13:30:00+...[{'amount': -37450, 'dt': 2023-09-25 13:30:00+...[{'amount': -14450, 'dt': 2023-09-26 13:30:00+...[{'amount': -87136, 'dt': 2023-09-27 13:30:00+...[{'amount': -157495, 'dt': 2023-09-28 13:30:00...[{'amount': -85400, 'dt': 2023-10-02 13:30:00+...[{'amount': -3988, 'dt': 2023-10-03 13:30:00+0...
shorts_count00000000
positions[][{'sid': Equity(34 [2886]), 'amount': 106951, ...[{'sid': Equity(46 [4904]), 'amount': 14450, '...[{'sid': Equity(25 [2609]), 'amount': 87136, '...[{'sid': Equity(34 [2886]), 'amount': 104027, ...[{'sid': Equity(34 [2886]), 'amount': 103976, ...[{'sid': Equity(34 [2886]), 'amount': 103564, ...[{'sid': Equity(34 [2886]), 'amount': 102579, ...
short_value0.00.00.00.00.00.00.00.0
short_exposure0.00.00.00.00.00.00.00.0
treasury_return0.00.00.00.00.00.00.00.0
longs_count02322222
net_leverage0.00.7793590.90790.8119080.8043940.7992490.81950.793739
long_value0.07784737.89087893.07992002.37882817.157801325.27901946.47617110.35
ending_exposure0.07784737.89087893.07992002.37882817.157801325.27901946.47617110.35
long_exposure0.07784737.89087893.07992002.37882817.157801325.27901946.47617110.35
returns0.0-0.0011360.002118-0.016615-0.004448-0.003967-0.012132-0.004761
gross_leverage0.00.7793590.90790.8119080.8043940.7992490.81950.793739
benchmark_return-0.0131890.0017040.006593-0.0106220.0021080.0026590.012448-0.006213
pnl0.0-11357.05757321153.933609-166314.129501-43786.902594-38877.98462-118422.367801-45906.590829
orders[{'id': 'bdcb9758340444948f3af991c6b2478b', 'd...[{'id': 'bdcb9758340444948f3af991c6b2478b', 'd...[{'id': '91e9060255b8480c88251ce5ed781b49', 'd...[{'id': 'ceec5c24911044baba3d8c0abab96960', 'd...[{'id': '153b35815aa44224aebbd79d673403b2', 'd...[{'id': '1ebe571a863a415297cd8aa1bc2b07b9', 'd...[{'id': '5a76b96aecf749d683699d19b7fc687c', 'd...[{'id': '40c0549e04914d8db877272facf233f9', 'd...
ending_value0.07784737.89087893.07992002.37882817.157801325.27901946.47617110.35
capital_used0.0-7796094.857573-1282001.266391929576.57049965398.24740642613.96538-219043.567801238929.459171
starting_exposure0.00.07784737.89087893.07992002.37882817.157801325.27901946.4
starting_value0.00.07784737.89087893.07992002.37882817.157801325.27901946.4
treasury_period_return0.00.00.00.00.00.00.00.0
sharpeNaN-11.2249723.147118-7.232764-8.577955-9.570898-12.063911-12.898619
max_drawdown0.0-0.001136-0.001136-0.016615-0.02099-0.024874-0.036704-0.04129
trading_days12345678
algo_volatilityNaN0.0127480.0262130.1361690.1179890.1055330.1079680.099985
algorithm_period_return0.0-0.0011360.00098-0.015652-0.02003-0.023918-0.03576-0.040351
benchmark_period_return-0.013189-0.011508-0.004991-0.01556-0.013485-0.0108610.001452-0.00477
excess_return0.0131890.0103720.005971-0.000091-0.006546-0.013057-0.037212-0.035581
benchmark_volatilityNaN0.1671790.1635720.1514270.1378560.1280680.14480.138869
alphaNaN-0.2239820.114994-0.409947-0.5193-0.56714-0.729949-0.723783
betaNaN-0.0762550.0641790.4684580.4153520.3856830.0527870.044894
sortinoNaN-11.2249727.925494-7.450711-8.270423-8.811025-10.120875-10.458434
max_leverage0.00.7793590.90790.90790.90790.90790.90790.9079
period_label2023-092023-092023-092023-092023-092023-092023-102023-10
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" ], "text/plain": [ " 2023-09-21 13:30:00+08:00 \n", "period_open 2023-09-21 09:01:00+08:00 \\\n", "period_close 2023-09-21 13:30:00+08:00 \n", "starting_cash 10000000.0 \n", "ending_cash 10000000.0 \n", "portfolio_value 10000000.0 \n", "transactions [] \n", "shorts_count 0 \n", "positions [] \n", "short_value 0.0 \n", "short_exposure 0.0 \n", "treasury_return 0.0 \n", "longs_count 0 \n", "net_leverage 0.0 \n", "long_value 0.0 \n", "ending_exposure 0.0 \n", "long_exposure 0.0 \n", "returns 0.0 \n", "gross_leverage 0.0 \n", "benchmark_return -0.013189 \n", "pnl 0.0 \n", "orders [{'id': 'bdcb9758340444948f3af991c6b2478b', 'd... \n", "ending_value 0.0 \n", "capital_used 0.0 \n", "starting_exposure 0.0 \n", "starting_value 0.0 \n", "treasury_period_return 0.0 \n", "sharpe NaN \n", "max_drawdown 0.0 \n", "trading_days 1 \n", "algo_volatility NaN \n", "algorithm_period_return 0.0 \n", "benchmark_period_return -0.013189 \n", "excess_return 0.013189 \n", "benchmark_volatility NaN \n", "alpha 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"treasury_period_return 0.0 \n", "sharpe -11.224972 \n", "max_drawdown -0.001136 \n", "trading_days 2 \n", "algo_volatility 0.012748 \n", "algorithm_period_return -0.001136 \n", "benchmark_period_return -0.011508 \n", "excess_return 0.010372 \n", "benchmark_volatility 0.167179 \n", "alpha -0.223982 \n", "beta -0.076255 \n", "sortino -11.224972 \n", "max_leverage 0.779359 \n", "period_label 2023-09 \n", "\n", " 2023-09-25 13:30:00+08:00 \n", "period_open 2023-09-25 09:01:00+08:00 \\\n", "period_close 2023-09-25 13:30:00+08:00 \n", "starting_cash 2203905.142427 \n", "ending_cash 921903.876036 \n", "portfolio_value 10009796.876036 \n", "transactions [{'amount': -37450, 'dt': 2023-09-25 13:30:00+... \n", "shorts_count 0 \n", "positions [{'sid': Equity(46 [4904]), 'amount': 14450, '... \n", "short_value 0.0 \n", "short_exposure 0.0 \n", "treasury_return 0.0 \n", "longs_count 3 \n", "net_leverage 0.9079 \n", "long_value 9087893.0 \n", "ending_exposure 9087893.0 \n", "long_exposure 9087893.0 \n", "returns 0.002118 \n", "gross_leverage 0.9079 \n", "benchmark_return 0.006593 \n", "pnl 21153.933609 \n", "orders [{'id': '91e9060255b8480c88251ce5ed781b49', 'd... \n", "ending_value 9087893.0 \n", "capital_used -1282001.266391 \n", "starting_exposure 7784737.8 \n", "starting_value 7784737.8 \n", "treasury_period_return 0.0 \n", "sharpe 3.147118 \n", "max_drawdown -0.001136 \n", "trading_days 3 \n", "algo_volatility 0.026213 \n", "algorithm_period_return 0.00098 \n", "benchmark_period_return -0.004991 \n", "excess_return 0.005971 \n", "benchmark_volatility 0.163572 \n", "alpha 0.114994 \n", "beta 0.064179 \n", "sortino 7.925494 \n", "max_leverage 0.9079 \n", "period_label 2023-09 \n", "\n", " 2023-09-26 13:30:00+08:00 \n", "period_open 2023-09-26 09:01:00+08:00 \\\n", "period_close 2023-09-26 13:30:00+08:00 \n", "starting_cash 921903.876036 \n", "ending_cash 1851480.446535 \n", "portfolio_value 9843482.746535 \n", "transactions [{'amount': -14450, 'dt': 2023-09-26 13:30:00+... \n", "shorts_count 0 \n", "positions [{'sid': Equity(25 [2609]), 'amount': 87136, '... \n", "short_value 0.0 \n", "short_exposure 0.0 \n", "treasury_return 0.0 \n", "longs_count 2 \n", "net_leverage 0.811908 \n", "long_value 7992002.3 \n", "ending_exposure 7992002.3 \n", "long_exposure 7992002.3 \n", "returns -0.016615 \n", "gross_leverage 0.811908 \n", "benchmark_return -0.010622 \n", "pnl -166314.129501 \n", "orders [{'id': 'ceec5c24911044baba3d8c0abab96960', 'd... \n", "ending_value 7992002.3 \n", "capital_used 929576.570499 \n", "starting_exposure 9087893.0 \n", "starting_value 9087893.0 \n", "treasury_period_return 0.0 \n", "sharpe -7.232764 \n", "max_drawdown -0.016615 \n", "trading_days 4 \n", "algo_volatility 0.136169 \n", "algorithm_period_return -0.015652 \n", "benchmark_period_return -0.01556 \n", "excess_return -0.000091 \n", "benchmark_volatility 0.151427 \n", "alpha -0.409947 \n", "beta 0.468458 \n", "sortino -7.450711 \n", "max_leverage 0.9079 \n", "period_label 2023-09 \n", "\n", " 2023-09-27 13:30:00+08:00 \n", "period_open 2023-09-27 09:01:00+08:00 \\\n", "period_close 2023-09-27 13:30:00+08:00 \n", "starting_cash 1851480.446535 \n", "ending_cash 1916878.693942 \n", "portfolio_value 9799695.843942 \n", "transactions [{'amount': -87136, 'dt': 2023-09-27 13:30:00+... \n", "shorts_count 0 \n", "positions [{'sid': Equity(34 [2886]), 'amount': 104027, ... \n", "short_value 0.0 \n", "short_exposure 0.0 \n", "treasury_return 0.0 \n", "longs_count 2 \n", "net_leverage 0.804394 \n", "long_value 7882817.15 \n", "ending_exposure 7882817.15 \n", "long_exposure 7882817.15 \n", "returns -0.004448 \n", "gross_leverage 0.804394 \n", "benchmark_return 0.002108 \n", "pnl -43786.902594 \n", "orders [{'id': '153b35815aa44224aebbd79d673403b2', 'd... \n", "ending_value 7882817.15 \n", "capital_used 65398.247406 \n", "starting_exposure 7992002.3 \n", "starting_value 7992002.3 \n", "treasury_period_return 0.0 \n", "sharpe -8.577955 \n", "max_drawdown -0.02099 \n", "trading_days 5 \n", "algo_volatility 0.117989 \n", "algorithm_period_return -0.02003 \n", "benchmark_period_return -0.013485 \n", "excess_return -0.006546 \n", "benchmark_volatility 0.137856 \n", "alpha -0.5193 \n", "beta 0.415352 \n", "sortino -8.270423 \n", "max_leverage 0.9079 \n", "period_label 2023-09 \n", "\n", " 2023-09-28 13:30:00+08:00 \n", "period_open 2023-09-28 09:01:00+08:00 \\\n", "period_close 2023-09-28 13:30:00+08:00 \n", "starting_cash 1916878.693942 \n", "ending_cash 1959492.659321 \n", "portfolio_value 9760817.859321 \n", "transactions [{'amount': -157495, 'dt': 2023-09-28 13:30:00... \n", "shorts_count 0 \n", "positions [{'sid': Equity(34 [2886]), 'amount': 103976, ... \n", "short_value 0.0 \n", "short_exposure 0.0 \n", "treasury_return 0.0 \n", "longs_count 2 \n", "net_leverage 0.799249 \n", "long_value 7801325.2 \n", "ending_exposure 7801325.2 \n", "long_exposure 7801325.2 \n", "returns -0.003967 \n", "gross_leverage 0.799249 \n", "benchmark_return 0.002659 \n", "pnl -38877.98462 \n", "orders [{'id': '1ebe571a863a415297cd8aa1bc2b07b9', 'd... \n", "ending_value 7801325.2 \n", "capital_used 42613.96538 \n", "starting_exposure 7882817.15 \n", "starting_value 7882817.15 \n", "treasury_period_return 0.0 \n", "sharpe -9.570898 \n", "max_drawdown -0.024874 \n", "trading_days 6 \n", "algo_volatility 0.105533 \n", "algorithm_period_return -0.023918 \n", "benchmark_period_return -0.010861 \n", "excess_return -0.013057 \n", "benchmark_volatility 0.128068 \n", "alpha -0.56714 \n", "beta 0.385683 \n", "sortino -8.811025 \n", "max_leverage 0.9079 \n", "period_label 2023-09 \n", "\n", " 2023-10-02 13:30:00+08:00 \n", "period_open 2023-10-02 09:01:00+08:00 \\\n", "period_close 2023-10-02 13:30:00+08:00 \n", "starting_cash 1959492.659321 \n", "ending_cash 1740449.09152 \n", "portfolio_value 9642395.49152 \n", "transactions [{'amount': -85400, 'dt': 2023-10-02 13:30:00+... \n", "shorts_count 0 \n", "positions [{'sid': Equity(34 [2886]), 'amount': 103564, ... \n", "short_value 0.0 \n", "short_exposure 0.0 \n", "treasury_return 0.0 \n", "longs_count 2 \n", "net_leverage 0.8195 \n", "long_value 7901946.4 \n", "ending_exposure 7901946.4 \n", "long_exposure 7901946.4 \n", "returns -0.012132 \n", "gross_leverage 0.8195 \n", "benchmark_return 0.012448 \n", "pnl -118422.367801 \n", "orders [{'id': '5a76b96aecf749d683699d19b7fc687c', 'd... \n", "ending_value 7901946.4 \n", "capital_used -219043.567801 \n", "starting_exposure 7801325.2 \n", "starting_value 7801325.2 \n", "treasury_period_return 0.0 \n", "sharpe -12.063911 \n", "max_drawdown -0.036704 \n", "trading_days 7 \n", "algo_volatility 0.107968 \n", "algorithm_period_return -0.03576 \n", "benchmark_period_return 0.001452 \n", "excess_return -0.037212 \n", "benchmark_volatility 0.1448 \n", "alpha -0.729949 \n", "beta 0.052787 \n", "sortino -10.120875 \n", "max_leverage 0.9079 \n", "period_label 2023-10 \n", "\n", " 2023-10-03 13:30:00+08:00 \n", "period_open 2023-10-03 09:01:00+08:00 \n", "period_close 2023-10-03 13:30:00+08:00 \n", "starting_cash 1740449.09152 \n", "ending_cash 1979378.550691 \n", "portfolio_value 9596488.900691 \n", "transactions [{'amount': -3988, 'dt': 2023-10-03 13:30:00+0... \n", "shorts_count 0 \n", "positions [{'sid': Equity(34 [2886]), 'amount': 102579, ... \n", "short_value 0.0 \n", "short_exposure 0.0 \n", "treasury_return 0.0 \n", "longs_count 2 \n", "net_leverage 0.793739 \n", "long_value 7617110.35 \n", "ending_exposure 7617110.35 \n", "long_exposure 7617110.35 \n", "returns -0.004761 \n", "gross_leverage 0.793739 \n", "benchmark_return -0.006213 \n", "pnl -45906.590829 \n", "orders [{'id': '40c0549e04914d8db877272facf233f9', 'd... \n", "ending_value 7617110.35 \n", "capital_used 238929.459171 \n", "starting_exposure 7901946.4 \n", "starting_value 7901946.4 \n", "treasury_period_return 0.0 \n", "sharpe -12.898619 \n", "max_drawdown -0.04129 \n", "trading_days 8 \n", "algo_volatility 0.099985 \n", "algorithm_period_return -0.040351 \n", "benchmark_period_return -0.00477 \n", "excess_return -0.035581 \n", "benchmark_volatility 0.138869 \n", "alpha -0.723783 \n", "beta 0.044894 \n", "sortino -10.458434 \n", "max_leverage 0.9079 \n", "period_label 2023-10 " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stats.T" ] }, { "cell_type": "code", "execution_count": 18, "id": "5c6fde7d", "metadata": {}, "outputs": [], "source": [ "positions, transactions, orders = get_transaction_detail(stats)" ] }, { "cell_type": "code", "execution_count": 19, "id": "419e5b5d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymbolamountdtpriceorder_idassetcommission
2023-09-22 13:30:00+08:003428861069512023-09-22 13:30:00+08:0037.800273bdcb9758340444948f3af991c6b2478bEquity(34 [2886])None
2023-09-22 13:30:00+08:00464904519002023-09-22 13:30:00+08:0072.104506acc3c2d89f8e48c3bc42daa9e8d81560Equity(46 [4904])None
2023-09-25 13:30:00+08:00464904-374502023-09-25 13:30:00+08:0072.89544471a11f3296354834956e3a801721c806Equity(46 [4904])None
2023-09-25 13:30:00+08:00342886-1069512023-09-25 13:30:00+08:0037.99974291e9060255b8480c88251ce5ed781b49Equity(34 [2886])None
2023-09-25 13:30:00+08:00242603348942023-09-25 13:30:00+08:00116.0001612777dbff1bbd48188466187cc31e69d3Equity(24 [2603])None
2023-09-25 13:30:00+08:006159040642023-09-25 13:30:00+08:00981.0089701ec8dcf092f84220a87650c5db8959fcEquity(6 [1590])None
2023-09-26 13:30:00+08:00464904-144502023-09-26 13:30:00+08:0072.699787ceec5c24911044baba3d8c0abab96960Equity(46 [4904])None
2023-09-26 13:30:00+08:00242603-348942023-09-26 13:30:00+08:00115.499884dc7128121a9d40d182ec3d9d4d465492Equity(24 [2603])None
2023-09-26 13:30:00+08:0061590-40622023-09-26 13:30:00+08:00957.984660c55dc4e5611246698718518b5ad46860Equity(6 [1590])None
2023-09-26 13:30:00+08:00252609871362023-09-26 13:30:00+08:0045.9503885ca0608910f8443a9c2ec23de6c1ab6fEquity(25 [2609])None
2023-09-26 13:30:00+08:003428861053662023-09-26 13:30:00+08:0037.850331aafbcc931d8e4f87adb21686aeb0f227Equity(34 [2886])None
2023-09-27 13:30:00+08:00252609-871362023-09-27 13:30:00+08:0045.899835153b35815aa44224aebbd79d673403b2Equity(25 [2609])None
2023-09-27 13:30:00+08:003328851574952023-09-27 13:30:00+08:0025.150272b397a24cd315420683b711b7c933abc3Equity(33 [2885])None
2023-09-27 13:30:00+08:00342886-13392023-09-27 13:30:00+08:0037.7000002f3a95e39fd840dc8aca520f0c36f6b1Equity(34 [2886])None
2023-09-28 13:30:00+08:00332885-1574952023-09-28 13:30:00+08:0025.0494611ebe571a863a415297cd8aa1bc2b07b9Equity(33 [2885])None
2023-09-28 13:30:00+08:00252609854002023-09-28 13:30:00+08:0045.450323432d560b9e99476d846b3675db5b2d44Equity(25 [2609])None
2023-09-28 13:30:00+08:00342886-512023-09-28 13:30:00+08:0037.7000009fb1d769ef504f44b2dd544653e997c2Equity(34 [2886])None
2023-10-02 13:30:00+08:00252609-854002023-10-02 13:30:00+08:0044.4498805a76b96aecf749d683699d19b7fc687cEquity(25 [2609])None
2023-10-02 13:30:00+08:00342886-4122023-10-02 13:30:00+08:0037.600000c2f1f413dea8434f9ef69b9f58c40810Equity(34 [2886])None
2023-10-02 13:30:00+08:006159039882023-10-02 13:30:00+08:001005.008408c2c40f199a7f4f7a85e33a6f0fd9c3d7Equity(6 [1590])None
2023-10-03 13:30:00+08:0061590-39882023-10-03 13:30:00+08:00997.99017840c0549e04914d8db877272facf233f9Equity(6 [1590])None
2023-10-03 13:30:00+08:00242603339822023-10-03 13:30:00+08:00110.500048b990b03de87744508a9bfcbab7e14ba6Equity(24 [2603])None
2023-10-03 13:30:00+08:00342886-9852023-10-03 13:30:00+08:0037.650000fcc61389fce5448297c04514a9523155Equity(34 [2886])None
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" ], "text/plain": [ " sid symbol amount dt \n", "2023-09-22 13:30:00+08:00 34 2886 106951 2023-09-22 13:30:00+08:00 \\\n", "2023-09-22 13:30:00+08:00 46 4904 51900 2023-09-22 13:30:00+08:00 \n", "2023-09-25 13:30:00+08:00 46 4904 -37450 2023-09-25 13:30:00+08:00 \n", "2023-09-25 13:30:00+08:00 34 2886 -106951 2023-09-25 13:30:00+08:00 \n", "2023-09-25 13:30:00+08:00 24 2603 34894 2023-09-25 13:30:00+08:00 \n", "2023-09-25 13:30:00+08:00 6 1590 4064 2023-09-25 13:30:00+08:00 \n", "2023-09-26 13:30:00+08:00 46 4904 -14450 2023-09-26 13:30:00+08:00 \n", "2023-09-26 13:30:00+08:00 24 2603 -34894 2023-09-26 13:30:00+08:00 \n", "2023-09-26 13:30:00+08:00 6 1590 -4062 2023-09-26 13:30:00+08:00 \n", "2023-09-26 13:30:00+08:00 25 2609 87136 2023-09-26 13:30:00+08:00 \n", "2023-09-26 13:30:00+08:00 34 2886 105366 2023-09-26 13:30:00+08:00 \n", "2023-09-27 13:30:00+08:00 25 2609 -87136 2023-09-27 13:30:00+08:00 \n", "2023-09-27 13:30:00+08:00 33 2885 157495 2023-09-27 13:30:00+08:00 \n", "2023-09-27 13:30:00+08:00 34 2886 -1339 2023-09-27 13:30:00+08:00 \n", "2023-09-28 13:30:00+08:00 33 2885 -157495 2023-09-28 13:30:00+08:00 \n", "2023-09-28 13:30:00+08:00 25 2609 85400 2023-09-28 13:30:00+08:00 \n", "2023-09-28 13:30:00+08:00 34 2886 -51 2023-09-28 13:30:00+08:00 \n", "2023-10-02 13:30:00+08:00 25 2609 -85400 2023-10-02 13:30:00+08:00 \n", "2023-10-02 13:30:00+08:00 34 2886 -412 2023-10-02 13:30:00+08:00 \n", "2023-10-02 13:30:00+08:00 6 1590 3988 2023-10-02 13:30:00+08:00 \n", "2023-10-03 13:30:00+08:00 6 1590 -3988 2023-10-03 13:30:00+08:00 \n", "2023-10-03 13:30:00+08:00 24 2603 33982 2023-10-03 13:30:00+08:00 \n", "2023-10-03 13:30:00+08:00 34 2886 -985 2023-10-03 13:30:00+08:00 \n", "\n", " price order_id \n", "2023-09-22 13:30:00+08:00 37.800273 bdcb9758340444948f3af991c6b2478b \\\n", "2023-09-22 13:30:00+08:00 72.104506 acc3c2d89f8e48c3bc42daa9e8d81560 \n", "2023-09-25 13:30:00+08:00 72.895444 71a11f3296354834956e3a801721c806 \n", "2023-09-25 13:30:00+08:00 37.999742 91e9060255b8480c88251ce5ed781b49 \n", "2023-09-25 13:30:00+08:00 116.000161 2777dbff1bbd48188466187cc31e69d3 \n", "2023-09-25 13:30:00+08:00 981.008970 1ec8dcf092f84220a87650c5db8959fc \n", "2023-09-26 13:30:00+08:00 72.699787 ceec5c24911044baba3d8c0abab96960 \n", "2023-09-26 13:30:00+08:00 115.499884 dc7128121a9d40d182ec3d9d4d465492 \n", "2023-09-26 13:30:00+08:00 957.984660 c55dc4e5611246698718518b5ad46860 \n", "2023-09-26 13:30:00+08:00 45.950388 5ca0608910f8443a9c2ec23de6c1ab6f \n", "2023-09-26 13:30:00+08:00 37.850331 aafbcc931d8e4f87adb21686aeb0f227 \n", "2023-09-27 13:30:00+08:00 45.899835 153b35815aa44224aebbd79d673403b2 \n", "2023-09-27 13:30:00+08:00 25.150272 b397a24cd315420683b711b7c933abc3 \n", "2023-09-27 13:30:00+08:00 37.700000 2f3a95e39fd840dc8aca520f0c36f6b1 \n", "2023-09-28 13:30:00+08:00 25.049461 1ebe571a863a415297cd8aa1bc2b07b9 \n", "2023-09-28 13:30:00+08:00 45.450323 432d560b9e99476d846b3675db5b2d44 \n", "2023-09-28 13:30:00+08:00 37.700000 9fb1d769ef504f44b2dd544653e997c2 \n", "2023-10-02 13:30:00+08:00 44.449880 5a76b96aecf749d683699d19b7fc687c \n", "2023-10-02 13:30:00+08:00 37.600000 c2f1f413dea8434f9ef69b9f58c40810 \n", "2023-10-02 13:30:00+08:00 1005.008408 c2c40f199a7f4f7a85e33a6f0fd9c3d7 \n", "2023-10-03 13:30:00+08:00 997.990178 40c0549e04914d8db877272facf233f9 \n", "2023-10-03 13:30:00+08:00 110.500048 b990b03de87744508a9bfcbab7e14ba6 \n", "2023-10-03 13:30:00+08:00 37.650000 fcc61389fce5448297c04514a9523155 \n", "\n", " asset commission \n", "2023-09-22 13:30:00+08:00 Equity(34 [2886]) None \n", "2023-09-22 13:30:00+08:00 Equity(46 [4904]) None \n", "2023-09-25 13:30:00+08:00 Equity(46 [4904]) None \n", "2023-09-25 13:30:00+08:00 Equity(34 [2886]) None \n", "2023-09-25 13:30:00+08:00 Equity(24 [2603]) None \n", "2023-09-25 13:30:00+08:00 Equity(6 [1590]) None \n", "2023-09-26 13:30:00+08:00 Equity(46 [4904]) None \n", "2023-09-26 13:30:00+08:00 Equity(24 [2603]) None \n", "2023-09-26 13:30:00+08:00 Equity(6 [1590]) None \n", "2023-09-26 13:30:00+08:00 Equity(25 [2609]) None \n", "2023-09-26 13:30:00+08:00 Equity(34 [2886]) None \n", "2023-09-27 13:30:00+08:00 Equity(25 [2609]) None \n", "2023-09-27 13:30:00+08:00 Equity(33 [2885]) None \n", "2023-09-27 13:30:00+08:00 Equity(34 [2886]) None \n", "2023-09-28 13:30:00+08:00 Equity(33 [2885]) None \n", "2023-09-28 13:30:00+08:00 Equity(25 [2609]) None \n", "2023-09-28 13:30:00+08:00 Equity(34 [2886]) None \n", "2023-10-02 13:30:00+08:00 Equity(25 [2609]) None \n", "2023-10-02 13:30:00+08:00 Equity(34 [2886]) None \n", "2023-10-02 13:30:00+08:00 Equity(6 [1590]) None \n", "2023-10-03 13:30:00+08:00 Equity(6 [1590]) None \n", "2023-10-03 13:30:00+08:00 Equity(24 [2603]) None \n", "2023-10-03 13:30:00+08:00 Equity(34 [2886]) None " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "transactions" ] }, { "cell_type": "code", "execution_count": 20, "id": "86487c19", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymbolassetamountcost_basislast_sale_pricemv
2023-09-22 13:30:00+08:00342886Equity(34 [2886])10695137.85413937.804042747.80
2023-09-22 13:30:00+08:00464904Equity(46 [4904])5190072.20726272.103741990.00
2023-09-25 13:30:00+08:00464904Equity(46 [4904])1445073.04331772.901053405.00
2023-09-25 13:30:00+08:00242603Equity(24 [2603])34894116.165462116.004047704.00
2023-09-25 13:30:00+08:0061590Equity(6 [1590])4064982.407100981.003986784.00
2023-09-26 13:30:00+08:00252609Equity(25 [2609])8713646.01587245.954003899.20
2023-09-26 13:30:00+08:00342886Equity(34 [2886])10536637.90427637.853988103.10
2023-09-27 13:30:00+08:00342886Equity(34 [2886])10402737.90642937.703921817.90
2023-09-27 13:30:00+08:00332885Equity(33 [2885])15749525.18611425.153960999.25
2023-09-28 13:30:00+08:00342886Equity(34 [2886])10397637.90667937.703919895.20
2023-09-28 13:30:00+08:00252609Equity(25 [2609])8540045.51510145.453881430.00
2023-10-02 13:30:00+08:00342886Equity(34 [2886])10356437.90735537.603894006.40
2023-10-02 13:30:00+08:0061590Equity(6 [1590])39881006.4407051005.004007940.00
2023-10-03 13:30:00+08:00342886Equity(34 [2886])10257937.90896437.653862099.35
2023-10-03 13:30:00+08:00242603Equity(24 [2603])33982110.657513110.503755011.00
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" ], "text/plain": [ " sid symbol asset amount cost_basis \n", "2023-09-22 13:30:00+08:00 34 2886 Equity(34 [2886]) 106951 37.854139 \\\n", "2023-09-22 13:30:00+08:00 46 4904 Equity(46 [4904]) 51900 72.207262 \n", "2023-09-25 13:30:00+08:00 46 4904 Equity(46 [4904]) 14450 73.043317 \n", "2023-09-25 13:30:00+08:00 24 2603 Equity(24 [2603]) 34894 116.165462 \n", "2023-09-25 13:30:00+08:00 6 1590 Equity(6 [1590]) 4064 982.407100 \n", "2023-09-26 13:30:00+08:00 25 2609 Equity(25 [2609]) 87136 46.015872 \n", "2023-09-26 13:30:00+08:00 34 2886 Equity(34 [2886]) 105366 37.904276 \n", "2023-09-27 13:30:00+08:00 34 2886 Equity(34 [2886]) 104027 37.906429 \n", "2023-09-27 13:30:00+08:00 33 2885 Equity(33 [2885]) 157495 25.186114 \n", "2023-09-28 13:30:00+08:00 34 2886 Equity(34 [2886]) 103976 37.906679 \n", "2023-09-28 13:30:00+08:00 25 2609 Equity(25 [2609]) 85400 45.515101 \n", "2023-10-02 13:30:00+08:00 34 2886 Equity(34 [2886]) 103564 37.907355 \n", "2023-10-02 13:30:00+08:00 6 1590 Equity(6 [1590]) 3988 1006.440705 \n", "2023-10-03 13:30:00+08:00 34 2886 Equity(34 [2886]) 102579 37.908964 \n", "2023-10-03 13:30:00+08:00 24 2603 Equity(24 [2603]) 33982 110.657513 \n", "\n", " last_sale_price mv \n", "2023-09-22 13:30:00+08:00 37.80 4042747.80 \n", "2023-09-22 13:30:00+08:00 72.10 3741990.00 \n", "2023-09-25 13:30:00+08:00 72.90 1053405.00 \n", "2023-09-25 13:30:00+08:00 116.00 4047704.00 \n", "2023-09-25 13:30:00+08:00 981.00 3986784.00 \n", "2023-09-26 13:30:00+08:00 45.95 4003899.20 \n", "2023-09-26 13:30:00+08:00 37.85 3988103.10 \n", "2023-09-27 13:30:00+08:00 37.70 3921817.90 \n", "2023-09-27 13:30:00+08:00 25.15 3960999.25 \n", "2023-09-28 13:30:00+08:00 37.70 3919895.20 \n", "2023-09-28 13:30:00+08:00 45.45 3881430.00 \n", "2023-10-02 13:30:00+08:00 37.60 3894006.40 \n", "2023-10-02 13:30:00+08:00 1005.00 4007940.00 \n", "2023-10-03 13:30:00+08:00 37.65 3862099.35 \n", "2023-10-03 13:30:00+08:00 110.50 3755011.00 " ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "positions['mv'] = positions['amount'] * positions['last_sale_price']\n", "positions" ] }, { "cell_type": "code", "execution_count": 21, "id": "0173512f", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "2023-09-21 13:30:00+08:00 0.000000\n", "2023-09-22 13:30:00+08:00 0.779359\n", "2023-09-25 13:30:00+08:00 0.907900\n", "2023-09-26 13:30:00+08:00 0.811908\n", "2023-09-27 13:30:00+08:00 0.804394\n", "2023-09-28 13:30:00+08:00 0.799249\n", "2023-10-02 13:30:00+08:00 0.819500\n", "2023-10-03 13:30:00+08:00 0.793739\n", "Name: net_leverage, dtype: float64" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stats.net_leverage" ] }, { "cell_type": "markdown", "id": "df1dc6a0", "metadata": {}, "source": [ "\n", "## Case 2 調整max_leverage\n", "[Return to Menu](#menu)\n", "\n", "接續**Case 1**，多調整`max_leverage=0.70`，其餘與**Case 1**相同。" ] }, { "cell_type": "code", "execution_count": 22, "id": "ca5e0499", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:05.749665]: INFO: rebalance: Cancel_order: current time: 2023-09-25 , created: 2023-09-25 , asset: Equity(46 [4904]), amount: -11093 , filled: 0\n", "[2024-03-13 02:41:05.753066]: INFO: earn_dividends: Equity(6 [1590]), cash_dividend amount: 13.43905496, pay_date: 2023-10-30, div_owed: 47789.27943776\n", "[2024-03-13 02:41:05.754062]: INFO: handle_split: after split: asset: Equity(6 [1590]), amount: 3554, cost_basis: 982.73, last_sale_price: 981.0\n", "[2024-03-13 02:41:05.754062]: INFO: handle_split: returning cash: 809.13\n", "[2024-03-13 02:41:05.795164]: INFO: handle_simulation_end: Simulated 8 trading days\n", "first open: 2023-09-21 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] } ], "source": [ "algo = TargetPercentPipeAlgo(\n", " start_session=algo_start_dt,\n", " end_session=end_dt,\n", " max_leverage=0.70,\n", " pipeline=make_pipeline,\n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "code", "execution_count": 23, "id": "f841b776", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2023-09-21 13:30:00+08:00 0.000000\n", "2023-09-22 13:30:00+08:00 0.704456\n", "2023-09-25 13:30:00+08:00 0.783204\n", "2023-09-26 13:30:00+08:00 0.708862\n", "2023-09-27 13:30:00+08:00 0.703443\n", "2023-09-28 13:30:00+08:00 0.698989\n", "2023-10-02 13:30:00+08:00 0.715883\n", "2023-10-03 13:30:00+08:00 0.694088\n", "Name: net_leverage, dtype: float64" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stats.net_leverage" ] }, { "cell_type": "markdown", "id": "5db3ea3f", "metadata": {}, "source": [ "\n", "## Case 3 調整tradeday\n", "[Return to Menu](#menu) \n", "\n", "接續**Case 1**，多新增`tradeday`，其餘與**Case 1**相同。" ] }, { "cell_type": "code", "execution_count": 24, "id": "6bca14e0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['2023-06-01', '2023-07-03', '2023-08-01', '2023-09-01', '2023-10-02']" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 設定再平衡日期\n", "freq = 'MS' # QS-JUL MS W\n", "_tradeday = list(pd.date_range(start=start_dt, end=end_dt, freq=freq))\n", "tradeday = [get_calendar(calendar_name).next_open(pd.Timestamp(i)).strftime('%Y-%m-%d') if \\\n", " get_calendar(calendar_name).is_session(i)==False else i.strftime('%Y-%m-%d') for i in _tradeday]\n", "tradeday" ] }, { "cell_type": "code", "execution_count": 25, "id": "c92d8770", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Timestamp('2023-09-21 00:00:00+0000', tz='UTC')" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "algo_start_dt" ] }, { "cell_type": "code", "execution_count": 26, "id": "05f092aa", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:05.883443]: INFO: handle_simulation_end: Simulated 8 trading days\n", "first open: 2023-09-21 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] } ], "source": [ "algo = TargetPercentPipeAlgo(\n", " start_session=algo_start_dt,\n", " end_session=end_dt, \n", " tradeday=tradeday,\n", " pipeline=make_pipeline,\n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "code", "execution_count": 27, "id": "60e1e752", "metadata": {}, "outputs": [], "source": [ "positions, transactions, orders = get_transaction_detail(stats)" ] }, { "cell_type": "code", "execution_count": 28, "id": "6e37e6e1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymbolamountdtpriceorder_idassetcommission
2023-10-03 13:30:00+08:00242603352422023-10-03 13:30:00+08:00110.50005135a33e935bde4439b8e113256e10f083Equity(24 [2603])None
2023-10-03 13:30:00+08:003428861063822023-10-03 13:30:00+08:0037.650179fb0b44482bc54fff9b6dec3fd649e715Equity(34 [2886])None
\n", "
" ], "text/plain": [ " sid symbol amount dt \n", "2023-10-03 13:30:00+08:00 24 2603 35242 2023-10-03 13:30:00+08:00 \\\n", "2023-10-03 13:30:00+08:00 34 2886 106382 2023-10-03 13:30:00+08:00 \n", "\n", " price order_id \n", "2023-10-03 13:30:00+08:00 110.500051 35a33e935bde4439b8e113256e10f083 \\\n", "2023-10-03 13:30:00+08:00 37.650179 fb0b44482bc54fff9b6dec3fd649e715 \n", "\n", " asset commission \n", "2023-10-03 13:30:00+08:00 Equity(24 [2603]) None \n", "2023-10-03 13:30:00+08:00 Equity(34 [2886]) None " ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "transactions" ] }, { "cell_type": "markdown", "id": "1cb48f46", "metadata": {}, "source": [ "\n", "## Case 4 調整rebalance_date_rule\n", "[Return to Menu](#menu) \n", "\n", "接續**Case 1**，多新增`rebalance_date_rule`，並修改`start_session`為2023-09-01，其餘與**Case 1**相同。" ] }, { "cell_type": "code", "execution_count": 29, "id": "678fc14e", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:06.016104]: INFO: handle_simulation_end: Simulated 22 trading days\n", "first open: 2023-09-01 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] } ], "source": [ "from zipline.api import date_rules\n", "\n", "algo = TargetPercentPipeAlgo(\n", " start_session=pd.Timestamp('2023-09-01', tz='UTC'),\n", " end_session=end_dt,\n", " pipeline=make_pipeline,\n", " # 每月的第四個交易日下單\n", " rebalance_date_rule=date_rules.month_start(days_offset=3) \n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "code", "execution_count": 30, "id": "acbd6ec1", "metadata": {}, "outputs": [], "source": [ "positions, transactions, orders = get_transaction_detail(stats)" ] }, { "cell_type": "code", "execution_count": 31, "id": "c995adc3", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymboliddtreasoncreatedamountfilledcommissionstoplimitstop_reachedlimit_reachedassetstatus
2023-09-06 13:30:00+08:004130344706e48bb8644098b53fd9a9c90ed3142023-09-06 13:30:00+08:00None2023-09-06 13:30:00+08:00941100NoneNoneFalseFalseEquity(41 [3034])0
2023-09-06 13:30:00+08:00142327ca20e3e3e6554702a701388075f7b1f32023-09-06 13:30:00+08:00None2023-09-06 13:30:00+08:00792000NoneNoneFalseFalseEquity(14 [2327])0
2023-09-07 13:30:00+08:004130344706e48bb8644098b53fd9a9c90ed3142023-09-07 13:30:00+08:00None2023-09-06 13:30:00+08:00941194115727NoneNoneFalseFalseEquity(41 [3034])1
2023-09-07 13:30:00+08:00142327ca20e3e3e6554702a701388075f7b1f32023-09-07 13:30:00+08:00None2023-09-06 13:30:00+08:00792079205666NoneNoneFalseFalseEquity(14 [2327])1
\n", "
" ], "text/plain": [ " sid symbol id \n", "2023-09-06 13:30:00+08:00 41 3034 4706e48bb8644098b53fd9a9c90ed314 \\\n", "2023-09-06 13:30:00+08:00 14 2327 ca20e3e3e6554702a701388075f7b1f3 \n", "2023-09-07 13:30:00+08:00 41 3034 4706e48bb8644098b53fd9a9c90ed314 \n", "2023-09-07 13:30:00+08:00 14 2327 ca20e3e3e6554702a701388075f7b1f3 \n", "\n", " dt reason \n", "2023-09-06 13:30:00+08:00 2023-09-06 13:30:00+08:00 None \\\n", "2023-09-06 13:30:00+08:00 2023-09-06 13:30:00+08:00 None \n", "2023-09-07 13:30:00+08:00 2023-09-07 13:30:00+08:00 None \n", "2023-09-07 13:30:00+08:00 2023-09-07 13:30:00+08:00 None \n", "\n", " created amount filled \n", "2023-09-06 13:30:00+08:00 2023-09-06 13:30:00+08:00 9411 0 \\\n", "2023-09-06 13:30:00+08:00 2023-09-06 13:30:00+08:00 7920 0 \n", "2023-09-07 13:30:00+08:00 2023-09-06 13:30:00+08:00 9411 9411 \n", "2023-09-07 13:30:00+08:00 2023-09-06 13:30:00+08:00 7920 7920 \n", "\n", " commission stop limit stop_reached \n", "2023-09-06 13:30:00+08:00 0 None None False \\\n", "2023-09-06 13:30:00+08:00 0 None None False \n", "2023-09-07 13:30:00+08:00 5727 None None False \n", "2023-09-07 13:30:00+08:00 5666 None None False \n", "\n", " limit_reached asset status \n", "2023-09-06 13:30:00+08:00 False Equity(41 [3034]) 0 \n", "2023-09-06 13:30:00+08:00 False Equity(14 [2327]) 0 \n", "2023-09-07 13:30:00+08:00 False Equity(41 [3034]) 1 \n", "2023-09-07 13:30:00+08:00 False Equity(14 [2327]) 1 " ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "orders" ] }, { "cell_type": "markdown", "id": "6bbf2987", "metadata": {}, "source": [ "\n", "## Case 5 調整slippage_model\n", "[Return to Menu](#menu) \n", "\n", "接續**Case 1**，多新增`slippage_model`，將`volume_limit`由**0.025**調整為**0.01**，其餘與**Case 1**相同。" ] }, { "cell_type": "code", "execution_count": 32, "id": "cb755bdd", "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:06.113628]: INFO: rebalance: Cancel_order: current time: 2023-09-22 , created: 2023-09-21 , asset: Equity(46 [4904]), amount: 55478 , filled: 20760\n", "[2024-03-13 02:41:06.121367]: INFO: rebalance: Cancel_order: current time: 2023-09-25 , created: 2023-09-25 , asset: Equity(46 [4904]), amount: -5780 , filled: 0\n", "[2024-03-13 02:41:06.121367]: INFO: earn_dividends: Equity(6 [1590]), cash_dividend amount: 13.43905496, pay_date: 2023-10-30, div_owed: 54629.7584124\n", "[2024-03-13 02:41:06.121367]: INFO: handle_split: after split: asset: Equity(6 [1590]), amount: 4063, cost_basis: 982.73, last_sale_price: 981.0\n", "[2024-03-13 02:41:06.121367]: INFO: handle_split: returning cash: 643.62\n", "[2024-03-13 02:41:06.132990]: INFO: rebalance: Cancel_order: current time: 2023-09-26 , created: 2023-09-26 , asset: Equity(6 [1590]), amount: -853 , filled: 0\n", "[2024-03-13 02:41:06.138066]: INFO: rebalance: Cancel_order: current time: 2023-09-27 , created: 2023-09-26 , asset: Equity(33 [2885]), amount: 157400 , filled: 151500\n", "[2024-03-13 02:41:06.138066]: INFO: rebalance: Cancel_order: current time: 2023-09-28 , created: 2023-09-28 , asset: Equity(33 [2885]), amount: -44120 , filled: 0\n", "[2024-03-13 02:41:06.171376]: INFO: handle_simulation_end: Simulated 8 trading days\n", "first open: 2023-09-21 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] } ], "source": [ "algo = TargetPercentPipeAlgo(\n", " start_session=algo_start_dt,\n", " end_session=end_dt,\n", " pipeline=make_pipeline,\n", " slippage_model=slippage.VolumeShareSlippage(volume_limit=0.01, price_impact=0.1)\n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "code", "execution_count": 33, "id": "ecabc7b2", "metadata": {}, "outputs": [], "source": [ "positions, transactions, orders = get_transaction_detail(stats)" ] }, { "cell_type": "code", "execution_count": 34, "id": "b23a28ae", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
sidsymboliddtreasoncreatedamountfilledcommissionstoplimitstop_reachedlimit_reachedassetstatus
2023-09-25 13:30:00+08:00615903217f240f39a4bc88fcdce896268d7cc2023-09-25 13:30:00+08:00None2023-09-25 13:30:00+08:00-406500.0NoneNoneFalseFalseEquity(6 [1590])0
2023-09-26 13:30:00+08:00615903217f240f39a4bc88fcdce896268d7cc2023-09-26 13:30:00+08:00None2023-09-25 13:30:00+08:00-4063-321013609.0NoneNoneFalseFalseEquity(6 [1590])2
\n", "
" ], "text/plain": [ " sid symbol id \n", "2023-09-25 13:30:00+08:00 6 1590 3217f240f39a4bc88fcdce896268d7cc \\\n", "2023-09-26 13:30:00+08:00 6 1590 3217f240f39a4bc88fcdce896268d7cc \n", "\n", " dt reason \n", "2023-09-25 13:30:00+08:00 2023-09-25 13:30:00+08:00 None \\\n", "2023-09-26 13:30:00+08:00 2023-09-26 13:30:00+08:00 None \n", "\n", " created amount filled \n", "2023-09-25 13:30:00+08:00 2023-09-25 13:30:00+08:00 -4065 0 \\\n", "2023-09-26 13:30:00+08:00 2023-09-25 13:30:00+08:00 -4063 -3210 \n", "\n", " commission stop limit stop_reached \n", "2023-09-25 13:30:00+08:00 0.0 None None False \\\n", "2023-09-26 13:30:00+08:00 13609.0 None None False \n", "\n", " limit_reached asset status \n", "2023-09-25 13:30:00+08:00 False Equity(6 [1590]) 0 \n", "2023-09-26 13:30:00+08:00 False Equity(6 [1590]) 2 " ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "orders.query('(symbol == \"1590\") & (created.dt.strftime(\"%Y-%m-%d\") == \"2023-09-25\")')" ] }, { "cell_type": "code", "execution_count": 35, "id": "b32cdde2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
symboldatevolume
448615902023-09-26 00:00:00+00:00321000.0
\n", "
" ], "text/plain": [ " symbol date volume\n", "4486 1590 2023-09-26 00:00:00+00:00 321000.0" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 321000 * 1% = 3210(股) \n", "\n", "df_bundle_price.query('(symbol == \"1590\") & (date.dt.strftime(\"%Y-%m-%d\") == \"2023-09-26\")')[['symbol','date','volume']]" ] }, { "cell_type": "code", "execution_count": 36, "id": "990ae3e7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
sidsymboliddtreasoncreatedamountfilledcommissionstoplimitstop_reachedlimit_reachedassetstatus
2023-09-27 13:30:00+08:0033288506063291dd4e449a8871819852919f942023-09-27 13:30:00+08:00None2023-09-27 13:30:00+08:00-15150000.0NoneNoneFalseFalseEquity(33 [2885])0
2023-09-28 13:30:00+08:0033288506063291dd4e449a8871819852919f942023-09-28 13:30:00+08:00None2023-09-27 13:30:00+08:00-151500-10738011904.0NoneNoneFalseFalseEquity(33 [2885])2
\n", "
" ], "text/plain": [ " sid symbol id \n", "2023-09-27 13:30:00+08:00 33 2885 06063291dd4e449a8871819852919f94 \\\n", "2023-09-28 13:30:00+08:00 33 2885 06063291dd4e449a8871819852919f94 \n", "\n", " dt reason \n", "2023-09-27 13:30:00+08:00 2023-09-27 13:30:00+08:00 None \\\n", "2023-09-28 13:30:00+08:00 2023-09-28 13:30:00+08:00 None \n", "\n", " created amount filled \n", "2023-09-27 13:30:00+08:00 2023-09-27 13:30:00+08:00 -151500 0 \\\n", "2023-09-28 13:30:00+08:00 2023-09-27 13:30:00+08:00 -151500 -107380 \n", "\n", " commission stop limit stop_reached \n", "2023-09-27 13:30:00+08:00 0.0 None None False \\\n", "2023-09-28 13:30:00+08:00 11904.0 None None False \n", "\n", " limit_reached asset status \n", "2023-09-27 13:30:00+08:00 False Equity(33 [2885]) 0 \n", "2023-09-28 13:30:00+08:00 False Equity(33 [2885]) 2 " ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "orders.query('(symbol == \"2885\") & (created.dt.strftime(\"%Y-%m-%d\") == \"2023-09-27\")')" ] }, { "cell_type": "code", "execution_count": 37, "id": "132f61d1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
symboldatevolume
462528852023-09-28 00:00:00+00:0010738000.0
\n", "
" ], "text/plain": [ " symbol date volume\n", "4625 2885 2023-09-28 00:00:00+00:00 10738000.0" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 10738000 * 1% = 107380(股) \n", "\n", "df_bundle_price.query('(symbol == \"2885\") & (date.dt.strftime(\"%Y-%m-%d\") == \"2023-09-28\")')[['symbol','date','volume']]" ] }, { "cell_type": "markdown", "id": "d3ade325", "metadata": {}, "source": [ "\n", "## Case 6 調整stocklist\n", "[Return to Menu](#menu) \n", "\n", "\n", "接續**Case 1**，多新增`stocklist`，其餘與**Case 1**相同。 \n", "\n", "\n", "\n", "註1：`stocklist`限制是在pipeline執行完後。 \n", "\n", "註2：也可以使用pipeline直接限制股票池。" ] }, { "cell_type": "code", "execution_count": 38, "id": "ec9aa3cd", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "55" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(StockList)" ] }, { "cell_type": "code", "execution_count": 39, "id": "09e5c473", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "54" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "_StockList = [i for i in StockList if i!='2886']\n", "len(_StockList)" ] }, { "cell_type": "code", "execution_count": 40, "id": "004cbaf0", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:06.339500]: INFO: rebalance: Cancel_order: current time: 2023-09-22 , created: 2023-09-21 , asset: Equity(46 [4904]), amount: 55478 , filled: 51900\n", "[2024-03-13 02:41:06.346237]: INFO: rebalance: Cancel_order: current time: 2023-09-25 , created: 2023-09-25 , asset: Equity(46 [4904]), amount: -14450 , filled: 0\n", "[2024-03-13 02:41:06.349619]: INFO: earn_dividends: Equity(6 [1590]), cash_dividend amount: 13.43905496, pay_date: 2023-10-30, div_owed: 54643.19746736\n", "[2024-03-13 02:41:06.350619]: INFO: handle_split: after split: asset: Equity(6 [1590]), amount: 4064, cost_basis: 982.73, last_sale_price: 981.0\n", "[2024-03-13 02:41:06.350619]: INFO: handle_split: returning cash: 643.29\n", "[2024-03-13 02:41:06.385375]: INFO: handle_simulation_end: Simulated 8 trading days\n", "first open: 2023-09-21 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] } ], "source": [ "algo = TargetPercentPipeAlgo(\n", " start_session=algo_start_dt,\n", " end_session=end_dt, \n", " stocklist=_StockList,\n", " pipeline=make_pipeline,\n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "code", "execution_count": 41, "id": "b932115a", "metadata": {}, "outputs": [], "source": [ "positions, transactions, orders = get_transaction_detail(stats)" ] }, { "cell_type": "code", "execution_count": 42, "id": "a81dd9c8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymbolassetamountcost_basislast_sale_price
2023-09-22 13:30:00+08:00464904Equity(46 [4904])5190072.20726272.10
2023-09-25 13:30:00+08:00464904Equity(46 [4904])1445073.04331772.90
2023-09-25 13:30:00+08:00242603Equity(24 [2603])34915116.165477116.00
2023-09-25 13:30:00+08:0061590Equity(6 [1590])4066982.407159981.00
2023-09-26 13:30:00+08:00252609Equity(25 [2609])8715746.01586745.95
2023-09-27 13:30:00+08:00332885Equity(33 [2885])15762425.18611725.15
2023-09-28 13:30:00+08:00252609Equity(25 [2609])8561045.51509545.45
2023-10-02 13:30:00+08:0061590Equity(6 [1590])39971006.4407701005.00
2023-10-03 13:30:00+08:00242603Equity(24 [2603])34102110.657517110.50
\n", "
" ], "text/plain": [ " sid symbol asset amount cost_basis \n", "2023-09-22 13:30:00+08:00 46 4904 Equity(46 [4904]) 51900 72.207262 \\\n", "2023-09-25 13:30:00+08:00 46 4904 Equity(46 [4904]) 14450 73.043317 \n", "2023-09-25 13:30:00+08:00 24 2603 Equity(24 [2603]) 34915 116.165477 \n", "2023-09-25 13:30:00+08:00 6 1590 Equity(6 [1590]) 4066 982.407159 \n", "2023-09-26 13:30:00+08:00 25 2609 Equity(25 [2609]) 87157 46.015867 \n", "2023-09-27 13:30:00+08:00 33 2885 Equity(33 [2885]) 157624 25.186117 \n", "2023-09-28 13:30:00+08:00 25 2609 Equity(25 [2609]) 85610 45.515095 \n", "2023-10-02 13:30:00+08:00 6 1590 Equity(6 [1590]) 3997 1006.440770 \n", "2023-10-03 13:30:00+08:00 24 2603 Equity(24 [2603]) 34102 110.657517 \n", "\n", " last_sale_price \n", "2023-09-22 13:30:00+08:00 72.10 \n", "2023-09-25 13:30:00+08:00 72.90 \n", "2023-09-25 13:30:00+08:00 116.00 \n", "2023-09-25 13:30:00+08:00 981.00 \n", "2023-09-26 13:30:00+08:00 45.95 \n", "2023-09-27 13:30:00+08:00 25.15 \n", "2023-09-28 13:30:00+08:00 45.45 \n", "2023-10-02 13:30:00+08:00 1005.00 \n", "2023-10-03 13:30:00+08:00 110.50 " ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "positions" ] }, { "cell_type": "markdown", "id": "8e4292a7", "metadata": {}, "source": [ "\n", "## Case 7 調整order_filling_policy\n", "[Return to Menu](#menu) \n", "\n", "接續**Case 1**，多新增`order_filling_policy='current_bar'`，其餘與**Case 1**相同。" ] }, { "cell_type": "code", "execution_count": 43, "id": "018ad605", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:06.476428]: INFO: rebalance: Cancel_order: current time: 2023-09-25 , created: 2023-09-25 , asset: Equity(46 [4904]), amount: -3578 , filled: 0\n", "[2024-03-13 02:41:06.523514]: INFO: handle_simulation_end: Simulated 8 trading days\n", "first open: 2023-09-21 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] } ], "source": [ "algo = TargetPercentPipeAlgo(\n", " start_session=algo_start_dt,\n", " end_session=end_dt,\n", " pipeline=make_pipeline,\n", " order_filling_policy='current_bar'\n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "code", "execution_count": 44, "id": "d9f1b57b", "metadata": {}, "outputs": [], "source": [ "positions, transactions, orders = get_transaction_detail(stats)" ] }, { "cell_type": "code", "execution_count": 45, "id": "cfd32871", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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longs
Equity(6 [1590])True
Equity(24 [2603])True
\n", "
" ], "text/plain": [ " longs\n", "Equity(6 [1590]) True\n", "Equity(24 [2603]) True" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result.loc['2023-09-22'].query('longs == True')" ] }, { "cell_type": "code", "execution_count": 46, "id": "c8e4c83b", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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sidsymboliddtreasoncreatedamountfilledcommissionstoplimitstop_reachedlimit_reachedassetstatus
2023-09-22 13:30:00+08:0034288636e7f2eb3d37492e829558f5748560aa2023-09-22 13:30:00+08:00None2023-09-22 08:45:00+08:00-106951-10695117890.0NoneNoneFalseFalseEquity(34 [2886])1
2023-09-22 13:30:00+08:004649040fc833a0c418408dae3da988454b20292023-09-22 13:30:00+08:00None2023-09-22 08:45:00+08:00-55478-5190016559.0NoneNoneFalseFalseEquity(46 [4904])0
2023-09-22 13:30:00+08:00242603737aa5d17c9c43ff814b7c09a94898fe2023-09-22 13:30:00+08:00None2023-09-22 08:45:00+08:0035043350435718.0NoneNoneFalseFalseEquity(24 [2603])1
2023-09-22 13:30:00+08:006159050897cf4326c46abbea7efdf8869a5af2023-09-22 13:30:00+08:00None2023-09-22 08:45:00+08:00408140815717.0NoneNoneFalseFalseEquity(6 [1590])1
\n", "
" ], "text/plain": [ " sid symbol id \n", "2023-09-22 13:30:00+08:00 34 2886 36e7f2eb3d37492e829558f5748560aa \\\n", "2023-09-22 13:30:00+08:00 46 4904 0fc833a0c418408dae3da988454b2029 \n", "2023-09-22 13:30:00+08:00 24 2603 737aa5d17c9c43ff814b7c09a94898fe \n", "2023-09-22 13:30:00+08:00 6 1590 50897cf4326c46abbea7efdf8869a5af \n", "\n", " dt reason \n", "2023-09-22 13:30:00+08:00 2023-09-22 13:30:00+08:00 None \\\n", "2023-09-22 13:30:00+08:00 2023-09-22 13:30:00+08:00 None \n", "2023-09-22 13:30:00+08:00 2023-09-22 13:30:00+08:00 None \n", "2023-09-22 13:30:00+08:00 2023-09-22 13:30:00+08:00 None \n", "\n", " created amount filled \n", "2023-09-22 13:30:00+08:00 2023-09-22 08:45:00+08:00 -106951 -106951 \\\n", "2023-09-22 13:30:00+08:00 2023-09-22 08:45:00+08:00 -55478 -51900 \n", "2023-09-22 13:30:00+08:00 2023-09-22 08:45:00+08:00 35043 35043 \n", "2023-09-22 13:30:00+08:00 2023-09-22 08:45:00+08:00 4081 4081 \n", "\n", " commission stop limit stop_reached \n", "2023-09-22 13:30:00+08:00 17890.0 None None False \\\n", "2023-09-22 13:30:00+08:00 16559.0 None None False \n", "2023-09-22 13:30:00+08:00 5718.0 None None False \n", "2023-09-22 13:30:00+08:00 5717.0 None None False \n", "\n", " limit_reached asset status \n", "2023-09-22 13:30:00+08:00 False Equity(34 [2886]) 1 \n", "2023-09-22 13:30:00+08:00 False Equity(46 [4904]) 0 \n", "2023-09-22 13:30:00+08:00 False Equity(24 [2603]) 1 \n", "2023-09-22 13:30:00+08:00 False Equity(6 [1590]) 1 " ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 從`orders`中可以發現created=2023-09-22的單在當天就成交（status由0變為1）\n", "orders.loc['2023-09-22']" ] }, { "cell_type": "markdown", "id": "7d63e674", "metadata": {}, "source": [ "\n", "## Case 8 調整allow_short\n", "[Return to Menu](#menu) \n", "\n", "接續**Case 1**，多新增`allow_short=True`，其餘與**Case 1**相同。 \n", "\n", "\n", "以下設定pipeline（`make_pipeline()`），並定義`shorts`欄位用來判斷須放空的股票。在`shorts`欄位中要放空的股票標記為True，反之標記為False。" ] }, { "cell_type": "code", "execution_count": 47, "id": "5f620242", "metadata": {}, "outputs": [], "source": [ "def make_pipeline():\n", " rsi = RSI()\n", " longs = rsi.top(2, mask = ~SingleAsset(bundle.asset_finder.lookup_symbol('IR0001', as_of_date=None)))\n", " shorts = rsi.bottom(2, mask = ~SingleAsset(bundle.asset_finder.lookup_symbol('IR0001', as_of_date=None)))\n", "\n", " return Pipeline(\n", " columns = {\n", " \"longs\" : longs,\n", " \"shorts\" : shorts\n", " }\n", " )" ] }, { "cell_type": "code", "execution_count": 48, "id": "8c7dbda4", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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longsshorts
2023-09-22 00:00:00+00:00Equity(6 [1590])TrueFalse
Equity(10 [2301])FalseTrue
Equity(24 [2603])TrueFalse
Equity(39 [2912])FalseTrue
2023-09-25 00:00:00+00:00Equity(10 [2301])FalseTrue
Equity(25 [2609])TrueFalse
Equity(31 [2883])FalseTrue
Equity(34 [2886])TrueFalse
2023-09-26 00:00:00+00:00Equity(8 [2002])FalseTrue
Equity(10 [2301])FalseTrue
Equity(33 [2885])TrueFalse
Equity(34 [2886])TrueFalse
2023-09-27 00:00:00+00:00Equity(10 [2301])FalseTrue
Equity(17 [2357])FalseTrue
Equity(25 [2609])TrueFalse
Equity(34 [2886])TrueFalse
2023-09-28 00:00:00+00:00Equity(6 [1590])TrueFalse
Equity(10 [2301])FalseTrue
Equity(34 [2886])TrueFalse
Equity(39 [2912])FalseTrue
2023-10-02 00:00:00+00:00Equity(10 [2301])FalseTrue
Equity(24 [2603])TrueFalse
Equity(34 [2886])TrueFalse
Equity(39 [2912])FalseTrue
2023-10-03 00:00:00+00:00Equity(2 [1301])FalseTrue
Equity(6 [1590])TrueFalse
Equity(14 [2327])TrueFalse
Equity(30 [2882])FalseTrue
\n", "
" ], "text/plain": [ " longs shorts\n", "2023-09-22 00:00:00+00:00 Equity(6 [1590]) True False\n", " Equity(10 [2301]) False True\n", " Equity(24 [2603]) True False\n", " Equity(39 [2912]) False True\n", "2023-09-25 00:00:00+00:00 Equity(10 [2301]) False True\n", " Equity(25 [2609]) True False\n", " Equity(31 [2883]) False True\n", " Equity(34 [2886]) True False\n", "2023-09-26 00:00:00+00:00 Equity(8 [2002]) False True\n", " Equity(10 [2301]) False True\n", " Equity(33 [2885]) True False\n", " Equity(34 [2886]) True False\n", "2023-09-27 00:00:00+00:00 Equity(10 [2301]) False True\n", " Equity(17 [2357]) False True\n", " Equity(25 [2609]) True False\n", " Equity(34 [2886]) True False\n", "2023-09-28 00:00:00+00:00 Equity(6 [1590]) True False\n", " Equity(10 [2301]) False True\n", " Equity(34 [2886]) True False\n", " Equity(39 [2912]) False True\n", "2023-10-02 00:00:00+00:00 Equity(10 [2301]) False True\n", " Equity(24 [2603]) True False\n", " Equity(34 [2886]) True False\n", " Equity(39 [2912]) False True\n", "2023-10-03 00:00:00+00:00 Equity(2 [1301]) False True\n", " Equity(6 [1590]) True False\n", " Equity(14 [2327]) True False\n", " Equity(30 [2882]) False True" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result = run_pipeline(make_pipeline(), algo_start, end)\n", "result.query('(longs == True) | (shorts == True)' )" ] }, { "cell_type": "code", "execution_count": 49, "id": "6b09aada", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:06.669320]: INFO: rebalance: Cancel_order: current time: 2023-09-22 , created: 2023-09-21 , asset: Equity(46 [4904]), amount: 55478 , filled: 51900\n", "[2024-03-13 02:41:06.681121]: INFO: rebalance: Cancel_order: current time: 2023-09-25 , created: 2023-09-25 , asset: Equity(46 [4904]), amount: -14450 , filled: 0\n", "[2024-03-13 02:41:06.687058]: INFO: earn_dividends: Equity(6 [1590]), cash_dividend amount: 13.43905496, pay_date: 2023-10-30, div_owed: 54414.73353304\n", "[2024-03-13 02:41:06.687453]: INFO: handle_split: after split: asset: Equity(6 [1590]), amount: 4047, cost_basis: 982.73, last_sale_price: 981.0\n", "[2024-03-13 02:41:06.687453]: INFO: handle_split: returning cash: 648.82\n", "[2024-03-13 02:41:06.734225]: INFO: rebalance: Cancel_order: current time: 2023-10-02 , created: 2023-09-28 , asset: Equity(39 [2912]), amount: -14669 , filled: -8575\n", "[2024-03-13 02:41:06.747551]: INFO: handle_simulation_end: Simulated 8 trading days\n", "first open: 2023-09-21 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] } ], "source": [ "algo = TargetPercentPipeAlgo(\n", " start_session=algo_start_dt,\n", " end_session=end_dt,\n", " allow_short=True,\n", " pipeline=make_pipeline,\n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "code", "execution_count": 50, "id": "d43980f0", "metadata": {}, "outputs": [], "source": [ "positions, transactions, orders = get_transaction_detail(stats)" ] }, { "cell_type": "code", "execution_count": 51, "id": "9bf9939c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymboliddtreasoncreatedamountfilledcommissionstoplimitstop_reachedlimit_reachedassetstatus
2023-09-28 13:30:00+08:003929122ed71c04d41546fabc89536cab7b49de2023-09-28 13:30:00+08:00None2023-09-28 13:30:00+08:00-1466900.0NoneNoneFalseFalseEquity(39 [2912])0
2023-10-02 13:30:00+08:003929122ed71c04d41546fabc89536cab7b49de2023-10-02 13:30:00+08:00None2023-09-28 13:30:00+08:00-14669-85759980.0NoneNoneFalseFalseEquity(39 [2912])2
\n", "
" ], "text/plain": [ " sid symbol id \n", "2023-09-28 13:30:00+08:00 39 2912 2ed71c04d41546fabc89536cab7b49de \\\n", "2023-10-02 13:30:00+08:00 39 2912 2ed71c04d41546fabc89536cab7b49de \n", "\n", " dt reason \n", "2023-09-28 13:30:00+08:00 2023-09-28 13:30:00+08:00 None \\\n", "2023-10-02 13:30:00+08:00 2023-10-02 13:30:00+08:00 None \n", "\n", " created amount filled \n", "2023-09-28 13:30:00+08:00 2023-09-28 13:30:00+08:00 -14669 0 \\\n", "2023-10-02 13:30:00+08:00 2023-09-28 13:30:00+08:00 -14669 -8575 \n", "\n", " commission stop limit stop_reached \n", "2023-09-28 13:30:00+08:00 0.0 None None False \\\n", "2023-10-02 13:30:00+08:00 9980.0 None None False \n", "\n", " limit_reached asset status \n", "2023-09-28 13:30:00+08:00 False Equity(39 [2912]) 0 \n", "2023-10-02 13:30:00+08:00 False Equity(39 [2912]) 2 " ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 當天取消\n", "orders.query('(symbol == \"2912\") & (created.dt.strftime(\"%Y-%m-%d\") == \"2023-09-28\")')" ] }, { "cell_type": "code", "execution_count": 52, "id": "c311c8f1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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symboldatevolume
468729122023-10-02 00:00:00+00:00343000.0
\n", "
" ], "text/plain": [ " symbol date volume\n", "4687 2912 2023-10-02 00:00:00+00:00 343000.0" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 343000 * 2.5% = 8575(股) \n", "\n", "df_bundle_price.query('(symbol == \"2912\") & (date.dt.strftime(\"%Y-%m-%d\") == \"2023-10-02\")')[['symbol','date','volume']]" ] }, { "cell_type": "code", "execution_count": 53, "id": "9e4f4505", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymbolassetamountcost_basislast_sale_pricemv
2023-09-25 13:30:00+08:00392912Equity(39 [2912])-15079263.315631264.5-3988395.5
2023-10-02 13:30:00+08:00392912Equity(39 [2912])-8575261.819714263.0-2255225.0
2023-10-03 13:30:00+08:00392912Equity(39 [2912])-14152261.433302262.0-3707824.0
\n", "
" ], "text/plain": [ " sid symbol asset amount cost_basis \n", "2023-09-25 13:30:00+08:00 39 2912 Equity(39 [2912]) -15079 263.315631 \\\n", "2023-10-02 13:30:00+08:00 39 2912 Equity(39 [2912]) -8575 261.819714 \n", "2023-10-03 13:30:00+08:00 39 2912 Equity(39 [2912]) -14152 261.433302 \n", "\n", " last_sale_price mv \n", "2023-09-25 13:30:00+08:00 264.5 -3988395.5 \n", "2023-10-02 13:30:00+08:00 263.0 -2255225.0 \n", "2023-10-03 13:30:00+08:00 262.0 -3707824.0 " ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "positions['mv'] = positions['amount'] * positions['last_sale_price']\n", "positions.query('(symbol == \"2912\")')" ] }, { "cell_type": "markdown", "id": "4ff4bd30", "metadata": {}, "source": [ "\n", "## Case 9 調整cancel_datedelta\n", "[Return to Menu](#menu) \n", "\n", "接續**Case 8**，多新增`cancel_datedelta=2`，其餘與**Case 8**相同。 " ] }, { "cell_type": "code", "execution_count": 54, "id": "ec543f3a", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:06.883576]: INFO: earn_dividends: Equity(6 [1590]), cash_dividend amount: 13.43905496, pay_date: 2023-10-30, div_owed: 54414.73353304\n", "[2024-03-13 02:41:06.883576]: INFO: handle_split: after split: asset: Equity(6 [1590]), amount: 4047, cost_basis: 982.73, last_sale_price: 981.0\n", "[2024-03-13 02:41:06.883576]: INFO: handle_split: returning cash: 648.82\n", "[2024-03-13 02:41:06.951237]: INFO: handle_simulation_end: Simulated 8 trading days\n", "first open: 2023-09-21 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] } ], "source": [ "algo = TargetPercentPipeAlgo(\n", " start_session=algo_start_dt,\n", " end_session=end_dt,\n", " allow_short=True,\n", " cancel_datedelta=2,\n", " pipeline=make_pipeline,\n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "code", "execution_count": 55, "id": "9c2ee114", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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longsshorts
2023-09-22 00:00:00+00:00Equity(6 [1590])TrueFalse
Equity(10 [2301])FalseTrue
Equity(24 [2603])TrueFalse
Equity(39 [2912])FalseTrue
2023-09-25 00:00:00+00:00Equity(10 [2301])FalseTrue
Equity(25 [2609])TrueFalse
Equity(31 [2883])FalseTrue
Equity(34 [2886])TrueFalse
2023-09-26 00:00:00+00:00Equity(8 [2002])FalseTrue
Equity(10 [2301])FalseTrue
Equity(33 [2885])TrueFalse
Equity(34 [2886])TrueFalse
2023-09-27 00:00:00+00:00Equity(10 [2301])FalseTrue
Equity(17 [2357])FalseTrue
Equity(25 [2609])TrueFalse
Equity(34 [2886])TrueFalse
2023-09-28 00:00:00+00:00Equity(6 [1590])TrueFalse
Equity(10 [2301])FalseTrue
Equity(34 [2886])TrueFalse
Equity(39 [2912])FalseTrue
2023-10-02 00:00:00+00:00Equity(10 [2301])FalseTrue
Equity(24 [2603])TrueFalse
Equity(34 [2886])TrueFalse
Equity(39 [2912])FalseTrue
2023-10-03 00:00:00+00:00Equity(2 [1301])FalseTrue
Equity(6 [1590])TrueFalse
Equity(14 [2327])TrueFalse
Equity(30 [2882])FalseTrue
\n", "
" ], "text/plain": [ " longs shorts\n", "2023-09-22 00:00:00+00:00 Equity(6 [1590]) True False\n", " Equity(10 [2301]) False True\n", " Equity(24 [2603]) True False\n", " Equity(39 [2912]) False True\n", "2023-09-25 00:00:00+00:00 Equity(10 [2301]) False True\n", " Equity(25 [2609]) True False\n", " Equity(31 [2883]) False True\n", " Equity(34 [2886]) True False\n", "2023-09-26 00:00:00+00:00 Equity(8 [2002]) False True\n", " Equity(10 [2301]) False True\n", " Equity(33 [2885]) True False\n", " Equity(34 [2886]) True False\n", "2023-09-27 00:00:00+00:00 Equity(10 [2301]) False True\n", " Equity(17 [2357]) False True\n", " Equity(25 [2609]) True False\n", " Equity(34 [2886]) True False\n", "2023-09-28 00:00:00+00:00 Equity(6 [1590]) True False\n", " Equity(10 [2301]) False True\n", " Equity(34 [2886]) True False\n", " Equity(39 [2912]) False True\n", "2023-10-02 00:00:00+00:00 Equity(10 [2301]) False True\n", " Equity(24 [2603]) True False\n", " Equity(34 [2886]) True False\n", " Equity(39 [2912]) False True\n", "2023-10-03 00:00:00+00:00 Equity(2 [1301]) False True\n", " Equity(6 [1590]) True False\n", " Equity(14 [2327]) True False\n", " Equity(30 [2882]) False True" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result = run_pipeline(make_pipeline(), algo_start, end)\n", "result.query('(longs == True) | (shorts == True)' )" ] }, { "cell_type": "code", "execution_count": 56, "id": "464c81c1", "metadata": {}, "outputs": [], "source": [ "positions, transactions, orders = get_transaction_detail(stats)" ] }, { "cell_type": "code", "execution_count": 57, "id": "bb0c286c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymboliddtreasoncreatedamountfilledcommissionstoplimitstop_reachedlimit_reachedassetstatus
2023-09-28 13:30:00+08:0039291205ab5284f0904f0599fce02cafe7dd932023-09-28 13:30:00+08:00None2023-09-28 13:30:00+08:00-1466000.0NoneNoneFalseFalseEquity(39 [2912])0
2023-10-02 13:30:00+08:0039291205ab5284f0904f0599fce02cafe7dd932023-10-02 13:30:00+08:00None2023-09-28 13:30:00+08:00-14660-85759980.0NoneNoneFalseFalseEquity(39 [2912])0
2023-10-03 13:30:00+08:0039291205ab5284f0904f0599fce02cafe7dd932023-10-03 13:30:00+08:00None2023-09-28 13:30:00+08:00-14660-1466017035.0NoneNoneFalseFalseEquity(39 [2912])1
\n", "
" ], "text/plain": [ " sid symbol id \n", "2023-09-28 13:30:00+08:00 39 2912 05ab5284f0904f0599fce02cafe7dd93 \\\n", "2023-10-02 13:30:00+08:00 39 2912 05ab5284f0904f0599fce02cafe7dd93 \n", "2023-10-03 13:30:00+08:00 39 2912 05ab5284f0904f0599fce02cafe7dd93 \n", "\n", " dt reason \n", "2023-09-28 13:30:00+08:00 2023-09-28 13:30:00+08:00 None \\\n", "2023-10-02 13:30:00+08:00 2023-10-02 13:30:00+08:00 None \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 None \n", "\n", " created amount filled \n", "2023-09-28 13:30:00+08:00 2023-09-28 13:30:00+08:00 -14660 0 \\\n", "2023-10-02 13:30:00+08:00 2023-09-28 13:30:00+08:00 -14660 -8575 \n", "2023-10-03 13:30:00+08:00 2023-09-28 13:30:00+08:00 -14660 -14660 \n", "\n", " commission stop limit stop_reached \n", "2023-09-28 13:30:00+08:00 0.0 None None False \\\n", "2023-10-02 13:30:00+08:00 9980.0 None None False \n", "2023-10-03 13:30:00+08:00 17035.0 None None False \n", "\n", " limit_reached asset status \n", "2023-09-28 13:30:00+08:00 False Equity(39 [2912]) 0 \n", "2023-10-02 13:30:00+08:00 False Equity(39 [2912]) 0 \n", "2023-10-03 13:30:00+08:00 False Equity(39 [2912]) 1 " ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "orders.query('(symbol == \"2912\") & (created.dt.strftime(\"%Y-%m-%d\") == \"2023-09-28\")')" ] }, { "cell_type": "code", "execution_count": 58, "id": "ab499bd7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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symboldatevolume
468729122023-10-02 00:00:00+00:00343000.0
474329122023-10-03 00:00:00+00:00808000.0
\n", "
" ], "text/plain": [ " symbol date volume\n", "4687 2912 2023-10-02 00:00:00+00:00 343000.0\n", "4743 2912 2023-10-03 00:00:00+00:00 808000.0" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 10/02：343000 * 2.5% = 8575(股) \n", "# 10/03：808000 * 2.5% = 20200(股) \n", "\n", "df_bundle_price.query('(symbol == \"2912\") & (date.dt.strftime(\"%Y-%m-%d\")>=\"2023-10-02\")')\\\n", " [['symbol','date','volume']]" ] }, { "cell_type": "code", "execution_count": 59, "id": "b1534daf", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymbolassetamountcost_basislast_sale_pricemv
2023-09-25 13:30:00+08:00392912Equity(39 [2912])-15079263.315631264.5-3988395.5
2023-10-02 13:30:00+08:00392912Equity(39 [2912])-8575261.819714263.0-2255225.0
2023-10-03 13:30:00+08:00392912Equity(39 [2912])-14660261.412688262.0-3840920.0
\n", "
" ], "text/plain": [ " sid symbol asset amount cost_basis \n", "2023-09-25 13:30:00+08:00 39 2912 Equity(39 [2912]) -15079 263.315631 \\\n", "2023-10-02 13:30:00+08:00 39 2912 Equity(39 [2912]) -8575 261.819714 \n", "2023-10-03 13:30:00+08:00 39 2912 Equity(39 [2912]) -14660 261.412688 \n", "\n", " last_sale_price mv \n", "2023-09-25 13:30:00+08:00 264.5 -3988395.5 \n", "2023-10-02 13:30:00+08:00 263.0 -2255225.0 \n", "2023-10-03 13:30:00+08:00 262.0 -3840920.0 " ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "positions['mv'] = positions['amount'] * positions['last_sale_price']\n", "positions.query('(symbol == \"2912\")')" ] }, { "cell_type": "markdown", "id": "52bd6355", "metadata": {}, "source": [ "\n", "## Case 10 調整limit_buy_multiplier\n", "[Return to Menu](#menu) \n", "\n", "接續**Case 9**，多設定`limit_buy_multiplier=1.015`，其餘與**Case 9**相同。" ] }, { "cell_type": "code", "execution_count": 60, "id": "897f1143", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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longsshorts
2023-09-22 00:00:00+00:00Equity(6 [1590])TrueFalse
Equity(10 [2301])FalseTrue
Equity(24 [2603])TrueFalse
Equity(39 [2912])FalseTrue
2023-09-25 00:00:00+00:00Equity(10 [2301])FalseTrue
Equity(25 [2609])TrueFalse
Equity(31 [2883])FalseTrue
Equity(34 [2886])TrueFalse
2023-09-26 00:00:00+00:00Equity(8 [2002])FalseTrue
Equity(10 [2301])FalseTrue
Equity(33 [2885])TrueFalse
Equity(34 [2886])TrueFalse
2023-09-27 00:00:00+00:00Equity(10 [2301])FalseTrue
Equity(17 [2357])FalseTrue
Equity(25 [2609])TrueFalse
Equity(34 [2886])TrueFalse
2023-09-28 00:00:00+00:00Equity(6 [1590])TrueFalse
Equity(10 [2301])FalseTrue
Equity(34 [2886])TrueFalse
Equity(39 [2912])FalseTrue
2023-10-02 00:00:00+00:00Equity(10 [2301])FalseTrue
Equity(24 [2603])TrueFalse
Equity(34 [2886])TrueFalse
Equity(39 [2912])FalseTrue
2023-10-03 00:00:00+00:00Equity(2 [1301])FalseTrue
Equity(6 [1590])TrueFalse
Equity(14 [2327])TrueFalse
Equity(30 [2882])FalseTrue
\n", "
" ], "text/plain": [ " longs shorts\n", "2023-09-22 00:00:00+00:00 Equity(6 [1590]) True False\n", " Equity(10 [2301]) False True\n", " Equity(24 [2603]) True False\n", " Equity(39 [2912]) False True\n", "2023-09-25 00:00:00+00:00 Equity(10 [2301]) False True\n", " Equity(25 [2609]) True False\n", " Equity(31 [2883]) False True\n", " Equity(34 [2886]) True False\n", "2023-09-26 00:00:00+00:00 Equity(8 [2002]) False True\n", " Equity(10 [2301]) False True\n", " Equity(33 [2885]) True False\n", " Equity(34 [2886]) True False\n", "2023-09-27 00:00:00+00:00 Equity(10 [2301]) False True\n", " Equity(17 [2357]) False True\n", " Equity(25 [2609]) True False\n", " Equity(34 [2886]) True False\n", "2023-09-28 00:00:00+00:00 Equity(6 [1590]) True False\n", " Equity(10 [2301]) False True\n", " Equity(34 [2886]) True False\n", " Equity(39 [2912]) False True\n", "2023-10-02 00:00:00+00:00 Equity(10 [2301]) False True\n", " Equity(24 [2603]) True False\n", " Equity(34 [2886]) True False\n", " Equity(39 [2912]) False True\n", "2023-10-03 00:00:00+00:00 Equity(2 [1301]) False True\n", " Equity(6 [1590]) True False\n", " Equity(14 [2327]) True False\n", " Equity(30 [2882]) False True" ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result = run_pipeline(make_pipeline(), algo_start, end)\n", "result.query('(longs == True) | (shorts == True)' )" ] }, { "cell_type": "code", "execution_count": 61, "id": "450ff025", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:07.183718]: INFO: earn_dividends: Equity(6 [1590]), cash_dividend amount: 13.43905496, pay_date: 2023-10-30, div_owed: 54414.73353304\n", "[2024-03-13 02:41:07.183718]: INFO: handle_split: after split: asset: Equity(6 [1590]), amount: 4047, cost_basis: 982.73, last_sale_price: 981.0\n", "[2024-03-13 02:41:07.183718]: INFO: handle_split: returning cash: 648.82\n", "[2024-03-13 02:41:07.254114]: INFO: exec_cancel: Cancel_order: current time: 2023-10-03,\n", " due to : created>=current time + cancel_datedelta(2 days),\n", " created: 2023-09-28, asset: Equity(6 [1590]), amount: 3931, filled: 0'\n", "[2024-03-13 02:41:07.259895]: INFO: handle_simulation_end: Simulated 8 trading days\n", "first open: 2023-09-21 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] } ], "source": [ "algo = TargetPercentPipeAlgo(\n", " start_session=algo_start_dt,\n", " end_session=end_dt,\n", " limit_buy_multiplier=1.015,\n", " allow_short=True,\n", " cancel_datedelta=2,\n", " pipeline=make_pipeline,\n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "code", "execution_count": 62, "id": "fd9ad5ca", "metadata": {}, "outputs": [], "source": [ "positions, transactions, orders = get_transaction_detail(stats)" ] }, { "cell_type": "code", "execution_count": 63, "id": "2f086ba2", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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sidsymboliddtreasoncreatedamountfilledcommissionstoplimitstop_reachedlimit_reachedassetstatus
2023-09-21 13:30:00+08:003428865e4ce9d6633d408a9389b175c652626b2023-09-21 13:30:00+08:00None2023-09-21 13:30:00+08:0010695100.0None37.96FalseFalseEquity(34 [2886])0
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2023-09-21 13:30:00+08:0010230125b053b3403b4ec4aa3408745f592ac42023-09-21 13:30:00+08:00None2023-09-21 13:30:00+08:00-3361300.0NoneNaNFalseFalseEquity(10 [2301])0
2023-09-21 13:30:00+08:004432317a065d9e8d604f699ec3efd6ca41d47c2023-09-21 13:30:00+08:00None2023-09-21 13:30:00+08:00-3980000.0NoneNaNFalseFalseEquity(44 [3231])0
2023-09-22 13:30:00+08:003428865e4ce9d6633d408a9389b175c652626b2023-09-22 13:30:00+08:00None2023-09-21 13:30:00+08:001069511069515761.0None37.96FalseTrueEquity(34 [2886])1
................................................
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92 rows × 15 columns

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" ], "text/plain": [ " sid symbol id \n", "2023-09-21 13:30:00+08:00 34 2886 5e4ce9d6633d408a9389b175c652626b \\\n", "2023-09-21 13:30:00+08:00 46 4904 e0b2c8d022ff41959b6f077bccad0c43 \n", "2023-09-21 13:30:00+08:00 10 2301 25b053b3403b4ec4aa3408745f592ac4 \n", "2023-09-21 13:30:00+08:00 44 3231 7a065d9e8d604f699ec3efd6ca41d47c \n", "2023-09-22 13:30:00+08:00 34 2886 5e4ce9d6633d408a9389b175c652626b \n", "... ... ... ... \n", "2023-10-03 13:30:00+08:00 39 2912 aaa092b0d9954807a887fab5edbed96e \n", "2023-10-03 13:30:00+08:00 6 1590 01f05fe434e643268c1562ae1004734a \n", "2023-10-03 13:30:00+08:00 14 2327 606f2de8c38d4be484df5d6889fe5e28 \n", "2023-10-03 13:30:00+08:00 2 1301 d5aa6f02906f4e008bceac04ade72d21 \n", "2023-10-03 13:30:00+08:00 30 2882 82adef75477d4095beaf6b4e02657dcb \n", "\n", " dt reason \n", "2023-09-21 13:30:00+08:00 2023-09-21 13:30:00+08:00 None \\\n", "2023-09-21 13:30:00+08:00 2023-09-21 13:30:00+08:00 None \n", "2023-09-21 13:30:00+08:00 2023-09-21 13:30:00+08:00 None \n", "2023-09-21 13:30:00+08:00 2023-09-21 13:30:00+08:00 None \n", "2023-09-22 13:30:00+08:00 2023-09-22 13:30:00+08:00 None \n", "... ... ... \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 None \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 None \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 None \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 None \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 None \n", "\n", " created amount filled \n", "2023-09-21 13:30:00+08:00 2023-09-21 13:30:00+08:00 106951 0 \\\n", "2023-09-21 13:30:00+08:00 2023-09-21 13:30:00+08:00 55478 0 \n", "2023-09-21 13:30:00+08:00 2023-09-21 13:30:00+08:00 -33613 0 \n", "2023-09-21 13:30:00+08:00 2023-09-21 13:30:00+08:00 -39800 0 \n", "2023-09-22 13:30:00+08:00 2023-09-21 13:30:00+08:00 106951 106951 \n", "... ... ... ... \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 14660 0 \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 3762 0 \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 7221 0 \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 -47471 0 \n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 -85340 0 \n", "\n", " commission stop limit stop_reached \n", "2023-09-21 13:30:00+08:00 0.0 None 37.96 False \\\n", "2023-09-21 13:30:00+08:00 0.0 None 73.18 False \n", "2023-09-21 13:30:00+08:00 0.0 None NaN False \n", "2023-09-21 13:30:00+08:00 0.0 None NaN False \n", "2023-09-22 13:30:00+08:00 5761.0 None 37.96 False \n", "... ... ... ... ... \n", "2023-10-03 13:30:00+08:00 0.0 None NaN False \n", "2023-10-03 13:30:00+08:00 0.0 None 1012.97 False \n", "2023-10-03 13:30:00+08:00 0.0 None 527.80 False \n", "2023-10-03 13:30:00+08:00 0.0 None NaN False \n", "2023-10-03 13:30:00+08:00 0.0 None NaN False \n", "\n", " limit_reached asset status \n", "2023-09-21 13:30:00+08:00 False Equity(34 [2886]) 0 \n", "2023-09-21 13:30:00+08:00 False Equity(46 [4904]) 0 \n", "2023-09-21 13:30:00+08:00 False Equity(10 [2301]) 0 \n", "2023-09-21 13:30:00+08:00 False Equity(44 [3231]) 0 \n", "2023-09-22 13:30:00+08:00 True Equity(34 [2886]) 1 \n", "... ... ... ... \n", "2023-10-03 13:30:00+08:00 False Equity(39 [2912]) 0 \n", "2023-10-03 13:30:00+08:00 False Equity(6 [1590]) 0 \n", "2023-10-03 13:30:00+08:00 False Equity(14 [2327]) 0 \n", "2023-10-03 13:30:00+08:00 False Equity(2 [1301]) 0 \n", "2023-10-03 13:30:00+08:00 False Equity(30 [2882]) 0 \n", "\n", "[92 rows x 15 columns]" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "orders" ] }, { "cell_type": "code", "execution_count": 64, "id": "6d1530d5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymboliddtreasoncreatedamountfilledcommissionstoplimitstop_reachedlimit_reachedassetstatus
2023-09-28 13:30:00+08:00615907a1633e9d2314561bf5fc6b2357842012023-09-28 13:30:00+08:00None2023-09-28 13:30:00+08:00393100.0None993.68FalseFalseEquity(6 [1590])0
2023-10-03 13:30:00+08:00615907a1633e9d2314561bf5fc6b2357842012023-10-03 13:30:00+08:00None2023-09-28 13:30:00+08:00393100.0None993.68FalseFalseEquity(6 [1590])2
\n", "
" ], "text/plain": [ " sid symbol id \n", "2023-09-28 13:30:00+08:00 6 1590 7a1633e9d2314561bf5fc6b235784201 \\\n", "2023-10-03 13:30:00+08:00 6 1590 7a1633e9d2314561bf5fc6b235784201 \n", "\n", " dt reason \n", "2023-09-28 13:30:00+08:00 2023-09-28 13:30:00+08:00 None \\\n", "2023-10-03 13:30:00+08:00 2023-10-03 13:30:00+08:00 None \n", "\n", " created amount filled \n", "2023-09-28 13:30:00+08:00 2023-09-28 13:30:00+08:00 3931 0 \\\n", "2023-10-03 13:30:00+08:00 2023-09-28 13:30:00+08:00 3931 0 \n", "\n", " commission stop limit stop_reached \n", "2023-09-28 13:30:00+08:00 0.0 None 993.68 False \\\n", "2023-10-03 13:30:00+08:00 0.0 None 993.68 False \n", "\n", " limit_reached asset status \n", "2023-09-28 13:30:00+08:00 False Equity(6 [1590]) 0 \n", "2023-10-03 13:30:00+08:00 False Equity(6 [1590]) 2 " ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ "orders.query('(symbol == \"1590\") & (created.dt.strftime(\"%Y-%m-%d\") == \"2023-09-28\")')" ] }, { "cell_type": "code", "execution_count": 65, "id": "da859233", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
symboldateclose
459815902023-09-28 00:00:00+00:00979.0
465415902023-10-02 00:00:00+00:001005.0
471015902023-10-03 00:00:00+00:00998.0
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" ], "text/plain": [ " symbol date close\n", "4598 1590 2023-09-28 00:00:00+00:00 979.0\n", "4654 1590 2023-10-02 00:00:00+00:00 1005.0\n", "4710 1590 2023-10-03 00:00:00+00:00 998.0" ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 9/28 979 * 1.015 = 993.685\n", "df_bundle_price.query('(symbol == \"1590\") & (date.dt.strftime(\"%Y-%m-%d\")>=\"2023-09-28\")')\\\n", " [['symbol','date','close']]" ] }, { "cell_type": "markdown", "id": "38689ee5", "metadata": {}, "source": [ "\n", "## Case 11 調整custom_weight、analyze、record_vars、get_record_vars與get_transaction_detail\n", "[Return to Menu](#menu) \n", "\n", "接續**Case 10**，多設定`custom_weight`=True、`analyze`、`record_vars`、`get_record_vars`=True與`get_transaction_detail`=True，其餘與**Case 10**相同。" ] }, { "cell_type": "code", "execution_count": 66, "id": "ab6c2fc5", "metadata": {}, "outputs": [], "source": [ "class Weight(CustomFactor):\n", " \n", " inputs = [TQAltDataSet.Market_Cap_Dollars] \n", " outputs = [\"Market_Cap_Dollars\",\"Sum_Market_Cap_Dollars\",\"Weight\"] \n", " window_length = 1\n", "\n", " def compute(self, today, assets, out, Market_Cap_Dollars):\n", " \n", " out.Market_Cap_Dollars[:] = Market_Cap_Dollars\n", " out.Sum_Market_Cap_Dollars[:] = np.nansum(Market_Cap_Dollars, axis=1)\n", " out.Weight[:] = Market_Cap_Dollars / np.sum(Market_Cap_Dollars, axis=1)" ] }, { "cell_type": "code", "execution_count": 67, "id": "83cba5b1", "metadata": {}, "outputs": [], "source": [ "def make_pipeline():\n", " \n", " rsi = RSI()\n", " longs = rsi.top(2, mask = ~SingleAsset(bundle.asset_finder.lookup_symbol('IR0001', as_of_date=None)))\n", " shorts = rsi.bottom(2, mask = ~SingleAsset(bundle.asset_finder.lookup_symbol('IR0001', as_of_date=None)))\n", "\n", " return Pipeline(\n", " \n", " columns = {\n", " \"Market_Cap_Dollars\":Weight().Market_Cap_Dollars, \n", " \"longs\" : longs,\n", " \"shorts\" : shorts,\n", " \"long_weights\" : Weight(mask=longs).Weight,\n", " \"short_weights\" : Weight(mask=shorts).Weight\n", " }\n", " )" ] }, { "cell_type": "code", "execution_count": 68, "id": "3e296505", "metadata": {}, "outputs": [], "source": [ "def analyze(context, perf):\n", " \n", " fig = plt.figure(figsize=(16, 24), dpi=400)\n", " \n", " # First chart(累積報酬)\n", " ax = fig.add_subplot(611) \n", " ax.set_title('Strategy Results') \n", " ax.plot(perf['algorithm_period_return'],\n", " linestyle='-', \n", " label='algorithm period return',\n", " linewidth=3.0)\n", " ax.plot(perf['benchmark_period_return'],\n", " linestyle='-', \n", " label='benchmark period return',\n", " linewidth=3.0)\n", " ax.legend()\n", " ax.grid(False)\n", " \n", " # Second chart(returns)\n", " ax = fig.add_subplot(612, sharex=ax) \n", " ax.plot(perf['returns'],\n", " linestyle='-', \n", " label='returns',\n", " linewidth=3.0)\n", " ax.legend()\n", " ax.grid(False)\n", "\n", " # Third chart(ending_cash) -> 觀察是否超買\n", " ax = fig.add_subplot(613, sharex=ax)\n", " ax.plot(perf['ending_cash'], \n", " label='ending_cash',\n", " linestyle='-',\n", " linewidth=3.0)\n", " ax.axhline(y=1, c='r', linewidth=1)\n", " ax.legend()\n", " ax.grid(False)\n", "\n", " # Forth chart(shorts_count) -> 觀察是否放空\n", " ax = fig.add_subplot(614, sharex=ax)\n", " ax.plot(perf['shorts_count'], \n", " label='shorts_count',\n", " linestyle='-',\n", " linewidth=3.0)\n", " ax.yaxis.set_major_locator(MaxNLocator(integer=True))\n", " ax.axhline(y=0, c='r', linewidth=1)\n", " ax.legend()\n", " ax.grid(False)\n", " \n", " # Fifth chart(longs_count)\n", " ax = fig.add_subplot(615, sharex=ax)\n", " ax.plot(perf['longs_count'], \n", " label='longs_count',\n", " linestyle='-',\n", " linewidth=3.0)\n", " ax.yaxis.set_major_locator(MaxNLocator(integer=True))\n", " ax.axhline(y=0, c='r', linewidth=1)\n", " ax.legend()\n", " ax.grid(False) \n", " \n", " # Sixth chart(weights) -> 觀察每日持股權重\n", " ax = fig.add_subplot(616, sharex=ax) \n", " weights = pd.concat([df.to_frame(d) for d, df in perf['daily_weights'].dropna().items()],axis=1).T\n", " \n", " for i in weights.columns:\n", " df = weights.loc[:,i]\n", " ax.scatter(df.index,df.values,marker='.', s=5, c='grey', label='daily_weights')\n", " ax.axhline(y=0, c='r', linewidth=1)\n", " ax.legend(['daily_weights'])\n", " ax.grid(False)\n", "\n", " fig.tight_layout()\n", "\n", "def record_vars(context, data):\n", " \"\"\"\n", " Plot variables at the end of each day.\n", " \"\"\"\n", " \n", " record(daily_weights=context.daily_weights,\n", " Market_Cap_Dollars=context.output.Market_Cap_Dollars\n", " )" ] }, { "cell_type": "code", "execution_count": 69, "id": "d1b458f8", "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2024-03-13 02:41:07.483598]: INFO: earn_dividends: Equity(6 [1590]), cash_dividend amount: 13.43905496, pay_date: 2023-10-30, div_owed: 48703.13517504\n", "[2024-03-13 02:41:07.483598]: INFO: handle_split: after split: asset: Equity(6 [1590]), amount: 3622, cost_basis: 982.73, last_sale_price: 981.0\n", "[2024-03-13 02:41:07.483598]: INFO: handle_split: returning cash: 787.02\n", "[2024-03-13 02:41:07.583608]: INFO: exec_cancel: Cancel_order: current time: 2023-10-03,\n", " due to : created>=current time + cancel_datedelta(2 days),\n", " created: 2023-09-28, asset: Equity(6 [1590]), amount: 2145, filled: 0'\n", "[2024-03-13 02:41:07.600275]: INFO: handle_simulation_end: Simulated 8 trading days\n", "first open: 2023-09-21 01:01:00+00:00\n", "last close: 2023-10-03 05:30:00+00:00\n" ] }, { "data": { "image/png": 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wDQCAwiJHppMjC5Mc2TBNNUduybBhwxK9FBUVZRYsWJCXfgDYthUHNEDPnj2zttb3v//9RK26ujqefvrpWu0/bty4mDhxYqJ+9dVXR0lJSa37KC0tjauvvjpRf+edd+KVV16p1RrZOi977LFHnHDCCYn6s88+Gxs2bMjKMeqid+/eceihhybq06ZNy3kvH5s7d248+eSTifp3vvOdaNu2bZ3W+slPfpKoLVq0KB5++OEt7rt8+fJ4/vnnE/Wzzjordtxxxzr1ERFxxRVXRHHxpl+iZ8+eHf/5z3/qvFY2dO/ePYqKirKy1uWXX55az9d7AwAg92TJdLJk7siSubE1Z8mzzz47tZ7P+xoAYGsmR6aTI3NHjsyNrTlHAgCQe7JkOlkyd2TJ3Ngas+TLL78ckydPTtTPP//8KCsry2kvAADbEjkynRyZO3JkbhRSjhw9enSsWLEiUf/ud79b5/xXVlYW3/3udxP1Bx98MD766KM6rQUAQO3JkulkyW3Xbbfdlqgde+yxcfDBB9dpnW9+85vRsWPHWq2fK3feeWesX79+k1pZWVlcddVVdVqnT58+ccEFFyTqf//732PdunUN6hEAgMInR6aTI7ddcuSWFVqOTHveTiaTienTp+e8FwAwXIOCcfTRR6f+Utrs2bNrtf8///nPRK1Tp05x2mmn1bmX008/PfWH43vvvbfOazXUsGHDErV169bFwoULc95LxP8LjZ/24Ycf5qGT/+e+++6L6urqTWqlpaVx8cUX13mtgw8+OPbcc89EvTbXfcyYMYk+IiK+8IUv1LmPiIiddtopNQz/4x//qNd6hWTAgAHRpUuXRL22n3UAAPgkWTKdLLl5smTTU2hZMu2ejsjvfQ0AQO3IkenkyM2TI5ueQsuRAAA0bbJkOlly82TJpqdQsuTtt9+eWh8+fHhO+wAAoP7kyHRy5ObJkU1PQ3PkqFGjErXmzZvHmWeeWa9+zjrrrGjevPkmtfXr18d9991Xr/UAAMgtWTKdLNl0vP7666kPiL3kkkvqvFarVq3inHPOSdQfeOCB2LhxY736a6i0z9hxxx0XvXr1qvNaX/rSlxK1ioqKeOKJJ+rVGwAA2yY5Mp0c2XTIkbVXSDnS83YAKCSGa1AwysvLo0OHDon6ggULarX/k08+maidfPLJUVZWVudeysrK4uSTT67VMRrb9ttvn1qv7XnJtnbt2iVqxcX5+1KSdk0OO+yw1F9KrI0zzjgjURs1alRi6t+n/fe//03USkpK4qCDDqpXHxERgwYNStSeeeaZvAW0bOrdu3eilq97GgCApk2WTCdLbp4s2TQVUpZMu6cj8ntfAwBQO3JkOjly8+TIpqmQciQAAE2bLJlOltw8WbJpyneWrKysTH3o6cEHHxy77757zvoAAKBh5Mh0cuTmyZFNU0NyZNq5HjBgQLRo0aJevbRo0SL23XffRN3DWQEAmgZZMp0s2XSk3R8tW7aM4447rl7rpeXapUuXpmapxjZ37tyYOHFion766afXa7399tsv+vTpk6jn4zMGAEDTJUemkyObDjmy9gopR3reDgCFxHcfCkpamKrND0lz5syJmTNnJupHHnlkvXtJ23fGjBkxZ86ceq9ZHzUFzHz98Lho0aJErXv37nnoJGL9+vXx0ksvJerZvu6VlZVbDEVp56VPnz7RqlWreveSNpWvoqIiXnvttXqvWSjq+1kHAIA0smSSLFkzWbLpKqQsmXbtIvJ3XwMAUDdyZJIcWTM5sukqpBwJAEDTJ0smyZI1kyWbrnxnyQceeCBWrlyZqA8fPjxnPQAAkB1yZJIcWTM5sulqSI5MO9dp56ou0vYfM2ZMVFVVNWhdAAByQ5ZMkiWbjtGjRydqhxxySL0HCA4aNChatmyZqI8aNape6zVE2nuLyP5nLB/vDQCApk2OTJIjmw45sm4KJUd63g4AhcRTAygYlZWVsXjx4kS9Nj8k1fRLdAcddFC9+znwwANT66+//nq916yP999/P7Werx8ex44dm6gdcsgheegkYuLEibF27dpEvSHXfeDAgVFSUpKob+m6L1myJFFr3759vfvY3P7jx49v0LqFIO2+FogAAKgPWTKdLFkzWbLpKqQsmXZPR+TvvgYAoPbkyHRyZM3kyKarkHIkAABNmyyZTpasmSzZdOU7S95+++2JWuvWrePMM8/MWQ8AADScHJlOjqyZHNl0NSRH5upcr169OiZNmtSgdQEAaHyyZDpZsmnIZDKp90ZD7sFmzZrFvvvum6jn+h6MSP+M9ezZM3r27FnvNdM+Y++9914sX7683msCALBtkSPTyZFNgxxZd4WSI9Pu6ebNm8d+++2X0z4AIMJwDQrI888/H9XV1Yn6zjvvvMV9J0yYkKi1bNky+vbtW+9+dtlll9SpdW+//Xa916yPtGlwbdq0ia5du+a0j4iIp59+OqZNm5aon3feeTnvJSL9ukdE7LnnnvVes1WrVqn33Jau+5o1axK15s2b17uPiKhxauJbb73VoHXzbdKkSbFw4cJEvTafdQAA+DRZMp0sWTNZsmkqpCyZyWTij3/8Y6J+6KGHxg477JDzfgAAqBs5Mp0cWTM5smnKRY7MZDKxZMmSmDJlSrzxxhv/+2XUTCaTtWMAAFAYZMl0smTNZMmmKd9/JzljxozUf3T4uc99Ltq0aZOTHgAAyA45Mp0cWTM5smlqaI50rgEA+CRZMp0s2TTMnj07KioqEvWG5NqIiL333jtRy/U9GJH+GWuM9xaRn/cHAEDTJEemkyObBjmy7gohR65ZsyZuu+22RP1zn/tcg/+eEwDqw3ANCsYdd9yRqJWVlcWwYcO2uO/MmTMTtZ122imKiorq3U9RUVHstNNOifp7771X7zXrasmSJfH4448n6scee2yUlJTkrI+IiFmzZsWXvvSlRH3o0KFx5JFH5rSXj6Vd9/Ly8ujWrVuD1k0L9lu67u3bt0/U0gJbXdQ0BXDGjBkNWjff0j7rEREnnHBCjjsBAGBrIEsmyZKbJ0s2TYWUJa+55poYN27cJrWioqK47rrrct4LAAB1J0cmyZGbJ0c2TY2ZI0eOHBknnnhidOrUKbp06RK777577LffftG3b9/o0KFDtGrVKgYPHhxXXnlljBkzpsHHAwAg/2TJJFly82TJpinffyd5++23p9aHDx+ek+MDAJA9cmSSHLl5cmTT1NAc6VwDAPBJsmSSLNl0pN2DEQ0fYp+Wa+fMmRMbN25s0Lp1lfb+GuO9ReT2MwYAQNMmRybJkU2HHFl3+c6R1dXVcemll8asWbM2qbdo0SKuuuqqnPQAAJ9muAYF4e23344RI0Yk6ocffni0a9dui/u///77iVrPnj0b3FfaGmnHaiy/+MUvYs2aNYn6qaeemrMeqqur4957741BgwbFnDlzNtnWrVu3uPPOO3PWy6elXYsePXo0eN36XPdOnTolagsXLmxQHwsWLEit5/IezLYPP/wwbrnllkR91113jf79++ehIwAAmjJZMp0suXmyZNNTKFly7ty5cdZZZ8UNN9yQ2PaDH/wgDj/88Jz1AgBA/ciR6eTIzZMjm57GzpEvvvhiPPHEE7Fs2bLU7WvXro2xY8fGL37xizj88MNjn332iTvvvDOqq6sbfGwAAHJPlkwnS26eLNn05PvvJKuqquKuu+5K1Pv16xeHHnpoox8fAIDskSPTyZGbJ0c2PdnIkWnnuqZzVVtb47kGANgWyJLpZMmmo6b7oqH3Ydr+VVVViWvRmDZs2BDz589P1Bv63rp06RLNmjVL1OU3AABqQ45MJ0c2HXJk3eUzR06ePDmGDRsWf//73xPbfvvb38Zuu+3W6D0AQJrSfDcAVVVVcemll6Y+SOL73/9+rdZYvHhxorbddts1uLdu3brV6liN4e23347f//73iXqfPn3ijDPOyMoxJk2aFCtWrNiktnHjxli5cmXMmTMn3nzzzXj00UdTfzjfZZdd4rHHHosddtghK73URyFd9+233z5RW7JkScyaNSt23HHHevXx2muvpdZzdQ82hm9961uxatWqRL22n3UAAPiYLJlOltyyQrrusmTtNHaWXLFiRUyaNClRr6ysjOXLl8e7774bY8eOjdGjR0dVVdUmrykqKoqrrroqrr/++qz0AgBA45Ej08mRW1ZI112OrJ1C+zvJCRMmxEUXXRR33XVX3H333dGrV6+89AEAQN3JkulkyS0rpOsuS9ZOvrPkU089lXo/X3TRRTk5PgAA2SFHppMjt6yQrrscWTvZyJHbb799TJkyZZNaTeeqtmraf9GiRQ1aFwCAxiNLppMlm5a0+6KoqCi6du3aoHXT7sGPj1ffjFpXH330UernMxufse222y7xgNemnJUBAMgNOTKdHNm0yJH1k+0cuXjx4pg5c+YmtUwmE5WVlfHRRx/FO++8E6NHj45x48Yl9m3WrFn89re/jS9/+cv1Pj4ANJThGuTdT3/603jllVcS9RNOOCGOOuqoWq2xdOnSRK02UxO3pG3btonaRx991OB1t2T16tVx3nnnxYYNGxLbfv3rX0dZWVlWjvPVr341nn/++TrtU15eHl/72tfiRz/6UbRu3TorfdRXLq/7mjVrYs2aNdGyZcvUfQ499NDU+jPPPFOvH/irqqpi1KhRqdvWrFkTq1evjlatWtV53Xz6+9//Hg888ECivs8++/jHfwAA1JksmSRL1o4sKUt+2htvvBGHH354nfc7+OCD45e//GUMHjw4K30AANC45MgkObJ25Eg5MlvGjBkT++yzTzz55JNx4IEH5rUXAABqR5ZMkiVrR5aUJevq9ttvT9RKS0vjggsuyMnxAQDIDjkySY6sHTly28yRhx56aDzzzDOb1D744IOYOnVq9OvXr859TZkyJfEwnY/l4vMOAED9yJJJsmTTk3YPtm7dOkpKShq0bto9GJHbjJP23iKa9mcMAICmTY5MkiObHjmyfrL9GXviiSfq9XuyxxxzTPzqV7+Kvffeu97HBoBsKM53A2zbnn766bj22msT9Xbt2sWf//znWq+zatWqRK28vLxBvUVEagCprKxs8Lpbcskll8TEiRMT9VNPPTVrkw/rqnXr1vGLX/wi5syZE7/4xS8KIpzl8rpHbP7aH3jggdGiRYtE/eabb65XD48++mjMmzevxu25uA+z6e23346vfOUriXpZWVn89a9/bXCQBQBg2yJLppMla0eWbDoKNUsedthhMW7cuHj55ZcN1gAAaCLkyHRyZO3IkU1HY+fI3r17x/Dhw+PWW2+NF198MebNmxcrV66MDRs2xKJFi+Ldd9+Nu+66Ky666KIaHwC0dOnSOPHEE2PGjBkN6gUAgMYnS6aTJWtHlmw6CuHvJJcsWRKPPfZYon7cccdFt27dGv34AABkhxyZTo6sHTmy6chmjhwyZEhqvb7nenP7NbXzDACwrZAl08mSTU8h5dpsS3tvEU37MwYAQNMlR6aTI5seObJ+8p0jTznllHjnnXfiqaeeMlgDgIJguAZ5M2nSpDjzzDOjuro6se2WW26J7bffvtZrpU0JLC0tbVB/EZE6ZXD9+vUNXndzfvrTn8Y999yTqPfs2TNuvfXWRj325lRWVsaVV14Zxx13XNx///2p1y3XcnndIzZ/7Zs3bx6f+9znEvW33347brvttjodf/Xq1XH55Zdv9jWNfR9m04IFC+Kkk06K1atXJ7Zdd911sf/+++ehKwAAmipZMp0sWXuyZNNQyFly7NixccIJJ8S3vvWtmD17dt76AACgduTIdHJk7cmRTUNj5cgOHTrEV7/61XjjjTfigw8+iL/+9a/xpS99KQ455JDo0aNHlJeXR2lpaXTp0iX69+8fX/jCF+L222+PuXPnxuWXXx7Fxclfy1m8eHGceOKJqfcWAACFQZZMJ0vWnizZNBTK30nefffdqffM8OHDc3J8AAAaTo5MJ0fWnhzZNGQ7Rx5yyCGx4447Juq33HJL6gOgNmfixIlxyy231Li9KZ1nAIBthSyZTpZsmgop12ZbTb/r2VQ/YwAANF1yZDo5smmSI+sn3znykUceiaOPPjquueaaWLx4cc6OCwA1MVyDvJg3b14cf/zxUVFRkdj2jW98I84666w6rVdVVZWolZSU1Lu/za2xcePGBq9bk7vvvjt+9KMfJerNmjWLBx98MDp37txox66NTCYTr7zySpx55plx2GGHxcyZM/PaTy6ve8SWr/3ll18eRUVFifp3vvOdGDduXK2OvXHjxrjoootixowZm31dUwnIK1asiBNOOCHmzJmT2HbyySfHFVdckYeuAABoqmTJdLJk3ciSha8pZMlly5bF73//+9htt93it7/9bWQymXy3BABACjkynRxZN3Jk4WvMHPmtb30r/vSnP8WAAQPqtF+HDh3il7/8ZTz33HPRunXrxPapU6fGzTffXO++AABoPLJkOlmybmTJwldIfyd5++23J2rbbbddnHDCCTnrAQCA+pMj08mRdSNHFr7GyJElJSXx3e9+N1Fft25dfP7zn48FCxbUap0FCxbE5z//+c0+OKepnGcAgG2FLJlOlmy6Ci3XZlPae4tomp8xAACaLjkynRzZdMmR9VMIOXLBggVx/fXXR79+/eKf//xnTo8NAJ9muAY5t3jx4hg2bFjMnj07se2UU06Jm266qc5rpk1hy8YPeWlr1DSNrqEeeeSRuPjiixMPYywuLo677747Dj744Kwfc8yYMZHJZDb5s3r16pg/f36MGzcufve738XgwYNT9x03blwMGjQo3nnnnaz3VVu5vO4RW772e+65Z5x//vmJ+qpVq2LYsGFx2223bfaXEGfOnPm/6ZJb0qJFiy2+Jt/WrFkTJ598crzxxhuJbQcddFDce++9qb9kCwAAaWTJdLJk3cmShS0fWXLo0KGJe7qqqiqWLl0a06dPjwceeCC++c1vRqdOnRL7rl27Ni677LL42te+ZsAGAECBkSPTyZF1J0cWtkL/O8nDDz88HnrooSguTv56znXXXRdr167NQ1cAANRElkwnS9adLFnYCilLvvrqqzFx4sRE/Qtf+ELqfQQAQGGRI9PJkXUnRxa2xsyRF198cfTr1y9Rnzx5chx66KExZsyYze4/evToOOSQQ2Ly5MmbfV1TOM8AANsKWTKdLNm0FVquzaaa/s6uqX3GAABouuTIdHJk0yZH1k+2P2MXXnhh4p7euHFjLFmyJCZPnhz33HNPDB8+PMrLyxP7Llu2LM4555z4xS9+Ue/jA0BD+RcX5NSyZcti2LBhMWnSpMS2YcOGxX333VeviWrNmzePDRs2bFJbv359vfvc3BrNmzdv8Lqf9vTTT8fnP//5xA+rRUVFcdttt8XnP//5rB+zJi1btoyWLVtG9+7dY9CgQfHNb34z3n777fjSl74Ur7322iavXbx4cRx77LExceLE6NChw2bXffPNN2PdunV17qdt27bRv3//1G1p16KxrntNx/u0P//5z/Haa68lfhmxsrIyLrnkkvjNb34Tp512Wuy3337RpUuXWLNmTXzwwQfx1FNPxX/+859NzlFRUVHst99+MX78+MRxWrVqlXr8FStWpH6+aqNv377RpUuXeu37aevWrYvPfvaz8fzzzye27bvvvvHkk09G69ats3IsAAC2frJkOlmyZrKkLNlQxcXF0aFDh+jQoUPsvPPOccYZZ8SvfvWruPHGG+Paa69N3Jc333xz7LDDDnHFFVfkpD8AADZPjkwnR9ZMjpQjG9MxxxwTF154Ydx+++2b1D/66KMYM2ZMHHvssXnqDACAT5Il08mSNZMlZcls+HRW/NjFF1+csx4AAKgfOTKdHFkzOVKOTNOyZct48MEH46CDDorVq1dvsm3mzJlx+OGHx2GHHRYnnXRS9OvXLzp06BDLli2LqVOnxqOPPhovvvjiJvt06tQp2rVrF++9994m9ZrOMwAAuSVLppMla7a5LFlICiXXNkaWrOlYTekzBgBA0yVHppMjayZHypENVVJSEp06dYpOnTrFbrvtFuecc07cdNNNcc0118Tvf//7qK6u3uT1V155Zey4445x5plnZrUPAKgNwzXImRUrVsQxxxwTb731VmLbkCFD4uGHH673D2Zt2rSJVatWbVJbuXJlvdba0hpt27Zt8LqfNGrUqDj11FNTf1D94x//WBD/OGqfffaJcePGxdlnnx0PPvjgJtvmz58f3/nOd+KOO+7Y7Bqnnnpq6sTLLRkyZEiMGTMmdVubNm0Stca67jUd79Nat24dDz/8cI0TPqdNm1br6Xo33HBDLFiwIPFLo61atarxFy7feOONOPzww2u1/qfdcccdceGFF9Zr30/asGFDnHHGGfHMM88ktvXv3z+effbZLQZ6AAD4mCyZTpbcPFlSlmwMzZs3jyuvvDIGDx4cxxxzTFRWVm6y/ZprronTTjstdtlllzx1CABAhBxZEzly8+RIObKx/ehHP0p9YOp//vMfwzUAAAqALJlOltw8WVKWbKg1a9bEv/71r0T9kEMOid122y1nfQAAUHdyZDo5cvPkSDmyJnvuuWfce++9cfbZZ8eaNWsS28eOHRtjx47d4jotWrSI++67Ly677LLEtq5duza4TwAAGkaWTCdLbt7msmQhyXWurek+bIwsWVOGbiqfMQAAmi45Mp0cuXlypBzZGNq0aRM33XRTHHrooXHWWWclBtt89atfjWHDhhXUv+cEYNtQnO8G2DasWrUqjjvuuMT0vIiIz3zmM/H4449Hy5Yt671+p06dErXly5fXe73NrZF2rPoaO3ZsnHzyyam/8HbjjTfGV7/61awdq6FKS0vj3nvvjb322iux7R//+EfMnTs35z3l8rq3bds2ysrKarX/rrvuGq+++moMGjSoXscvKSmJ//u//4sf/vCHqQGme/fu9Vo3FzZu3BhnnXVWPP7444ltu+66a4wcOTI6d+6ch84AAGiKZMl0smTDyJKFp6llyUMOOST+9re/Jerr16+PG2+8MQ8dAQDwMTkynRzZMHJk4WlqOTIiok+fPrHHHnsk6mlfrwAAyC1ZMp0s2TCyZOEpxCz50EMPRUVFRaJeCP+4FwCAmsmR6eTIhpEjC0+uc+Qpp5wSY8aMqfc56dSpUzzxxBNx5JFHNrlzDQCwLZAl08mSW4+0+2Lt2rWxbt26Bq1b032czftwS2o6VlP4jAEA0HTJkenkyK2HHFk/+c6Rp59+etxwww2J+tKlS+PWW2/NWR8A8DHDNWh0lZWVcfzxx8e4ceMS2w488MB48skno7y8vEHH6NatW6K2YMGCBq1Z0xppx6qPcePGxfHHHx+VlZWJbT//+c/jsssuy8pxsqmsrCx+9atfJeobN25MTEXMhUK+7l27do2xY8fGHXfcETvuuGOt9zv44IPj5Zdfju985zsREan/aG7XXXetUy+5UlVVFeeee26MGDEisa1v374xatSorH1+AADY+smS6WTJhivk6y5LbqqQs+SZZ54ZBx98cKJ+3333RSaTyUNHAADIkenkyIYr5OsuR26qkHNkRMR+++2XqC1cuDAPnQAA8DFZMp0s2XCFfN1lyU3lM0v+7W9/S9TKy8vj85//fM57AQCgduTIdHJkwxXydZcjN9WYOfLAAw+MKVOmxDXXXBNt27at1T7FxcVxzjnnxIQJE+KII46IiKZ1rgEAtgWyZDpZcutS033R0Puwpv1z+Xd7HTp0iGbNmiXqDX1vVVVVsXjx4kS9UH8HFgCA3JEj08mRWxc5su4KJUdedtll0bt370T9n//8Z077AIAIwzVoZKtXr44TTzwxxo4dm9g2cODAePrpp2v9S16bk/ZLeR988EGD101boy6/AFiTV155JY499thYtWpVYtu1114bP/jBDxp8jMZy9NFHp06ne/HFF3PeS9q1mDdvXlRVVTVo3Wxd95KSkrjwwgtj2rRpMWrUqPjBD34Qhx56aPTt2zfatm0bJSUl0aFDhzjwwAPjsssui5deeilefvnlOOCAA/63xpQpUxLr7rnnnnXupbFVVVXF+eefH/fff39iW58+fWLUqFHRs2fPPHQGAEBTJEumkyWzQ5YsHE09S5555pmJ2rJly+Ldd9/NQzcAANs2OTKdHJkdcmThaOo5smvXronaokWL8tAJAAARsmRNZMnskCULR6Fmyffeey+ef/75RP3MM89s8D98BgCgcciR6eTI7JAjC0e+c2Tbtm3j2muvjTlz5sRDDz0UX/7yl2O//faL3r17R8uWLaNZs2bRrVu3OOKII+L666+P6dOnxz333BM9evSIiIjFixfHsmXLEusW4rkGANgWyJLpZMmtT033RUPvw7T9W7RokdMHhxYXF8cOO+yQqDf0vc2bNy+qq6sT9Wx8xgAAaLrkyHRy5NZHjqy7QsmRzZo1i9NOOy1Rf+edd2LFihU57QUASvPdAFuvNWvWxMknnxxjxoxJbNt7773j2Wefjfbt22flWLvsskuiNnv27Fi/fn3q1LbaWLduXeoPoGnHqovXXnstjj322Fi5cmVi21VXXRXXXHNNg9ZvbCUlJbHvvvvGyJEjN6lv6Yf1999/P+u9pF2LDRs2xPvvvx99+/at97rTp0+v1bFqq7S0NA4//PA4/PDD67Tf2rVrY9q0aYn6Zz7zmRr3GTp0aGQymTr32BDV1dVx4YUXpk4L7N27d4waNSq23377nPYEAEDTJUumkyWzR5ZMkiXrZ//990+tf/DBB/4RIgBADsmR6eTI7JEjk+TI7Fm/fn2+WwAA2CbJkulkyeyRJZNkyU3dcccdqefj4osvzkM3AABsiRyZTo7MHjkyaVvPkW3bto3TTjst9cE0m/P2228nakVFRXHwwQdnqzUAAGpJlkwnS26darovpk2bFocddli9103LtTvvvHMUFRWlvr6xsuQuu+yS6CUt59ZF2nv7+FgAAGyb5Mh0cuTWSY6su0LKkWnP26muro65c+dG//79c94PANuu4nw3wNZp7dq1ccoppyR+iI+I2HPPPWPkyJHRsWPHrB1vwIABiVpVVVVMnDix3mu+8847UVVVlajvu+++9V7zjTfeiGHDhkVFRUVi2xVXXBE33HBDvdfOpS5duiRqy5Yty3kfadc9Iv0XAGtryZIlMXfu3ES9Ide9vtLuweLi4hg8eHDOe6lJdXV1XHzxxfGPf/wjsa1nz54xevTonE8zBACg6ZIl08mS2SVL5t/WkiXT7umI/NzXAADbKjkynRyZXXJk/m0tOXLRokWJWtu2bfPQCQDAtk2WTCdLZpcsmX+FnCWrq6vjrrvuStR32223zT5YFgCA/JAj08mR2SVH5l8h58i6ePPNNxO1ffbZJ6tfpwAA2DJZMp0sufXq0qVL9OzZM1FvSK6NSM84+ci1aZ+xCRMmNOgBrGnvrbS0NPbcc896rwkAQNMlR6aTI7decmTdFVKO9LwdAAqF4Rpk3bp16+K0006LZ599NrFt9913j5EjR0bnzp2zesz9998/iouTt/O4cePqvebLL7+cqJWUlMR+++1Xr/XeeuutOProo2P58uWJbd/97nfjF7/4Rb3WzYfKyspErb5TJhuib9++0alTp0Q929c9IuKggw6q95r19dBDDyVqQ4cOLZhfZMxkMnHJJZek/gO/7t27x6hRo6Jv37556AwAgKZIlkwnS2afLJlfW1OWTLunI/JzXwMAbIvkyHRyZPbJkfm1NeXI119/PVHbfvvt89AJAMC2S5ZMJ0tmnyyZX4WeJZ955pmYM2dOoj58+PA8dAMAwObIkenkyOyTI/Or0HNkXaSd69NOOy0PnQAAbLtkyXSy5NYvLW825B5cvnx5TJ48uVbHaWxpx1yxYkW8++679V4z7TO2zz77RPPmzeu9JgAATZMcmU6O3PrJkXVTSDnS83YAKBSGa5BV69evjzPOOCOefPLJxLZ+/frFqFGjomvXrlk/bvv27WP//fdP1J9++ul6r5m27/777x/t27ev81rvvPNOHHXUUbF06dLEtm9/+9vxm9/8pj4t5s3cuXMTte222y7nfRQVFcWRRx6ZqGf7unfr1i3nE/kymUzce++9ifp5552X0z5qkslk4itf+Ur87W9/S2zbbrvtYtSoUbHrrrvmoTMAAJoiWTKdLNk4ZMn82dqyZNo9HZGf+xoAYFsjR6aTIxuHHJk/W1OOnDVrVuovvw4YMCAP3QAAbJtkyXSyZOOQJfOnKWTJ22+/PVErLS2N888/Pw/dAABQEzkynRzZOOTI/GkKObK2pk+fHv/97383qRUVFcU555yTp44AALY9smQ6WXLbcNRRRyVqb775ZixevLhe6z333HNRXV1dq+M0tiFDhkRpaWmiXt/P2IYNG2LUqFGJej7eGwAA+SVHppMjtw1yZO0VWo70vB0ACoXhGmTNxo0b48wzz4zHH388sW3XXXeN0aNHR7du3Rrt+CeddFKi9swzz8SyZcvqvNbSpUtTpzeefPLJdV5r0qRJcdRRR8VHH32U2Pb1r389brrppjqvmU8LFy6Mt99+O1Hv379/HrpJv+4TJ06MSZMm1XmtjRs3xoMPPlirYzS2f/3rXzFnzpxNal27do2zzz47572k+eY3vxl/+ctfEvWuXbvGqFGjYrfddstDVwAANEWyZDpZsnHJkvmxtWXJmv7Scvfdd89xJwAA2xY5Mp0c2bjkyPzYmnLk9ddfn1pPe0gSAADZJ0umkyUblyyZH4WeJZcuXRqPPvpoon7iiSf6R4UAAAVEjkwnRzYuOTI/Cj1H1kXag6ROOumk6Nu3bx66AQDY9siS6WTJbccJJ5wQRUVFm9Sqq6vjgQceqNd6//rXvxK1XXbZJS85rW3btjFkyJBE/b777qvXek8//XQsX748Ua/PZwwAgKZLjkwnR2475MjaK7Qcmfa8nTZt2kSvXr3y0A0A2zLDNciKqqqqOPvss+Phhx9ObNt5551j1KhR0b1790bt4dxzz038cLx+/frUX2zbkltvvTXWr1+/Sa2oqCjOOeecOq0zderUOPLII2PRokWJbV/5ylfiD3/4Q517y7fbbrstdSLf0KFDc99MRJx66qnRunXrRP33v/99ndd68MEHY+HChYn6eeedV6/e6quioiK+853vJOrf+973okWLFjntJc13vvOd+OMf/5iod+nSJUaOHCmsAwBQa7JkOlmy8cmSube1Zcnly5fH/fffn6jvscce0aVLlzx0BACwbZAj08mRjU+OzL2tKUc+/fTTcddddyXqbdq08Q8hAQByQJZMJ0s2Plky95pClvzHP/4R69atS9QvvvjiPHQDAEAaOTKdHNn45Mjcawo5srZefvnluO222zapFRUVxQ9/+MM8dQQAsG2RJdPJktuW7bffPgYPHpyo//GPf4xMJlOntebMmROPPPJIop7rXLulY7/22mvx3//+t85rpWXRHXfcMT7zmc/UqzcAAJoeOTKdHLltkSNrr5By5MyZM+O5555L1AcPHhzFxR5xDkCOZaCBqqqqMuecc04mIhJ/dtppp8ycOXNy1ssJJ5yQ6KFjx46ZJUuW1HqNxYsXZzp06JBY56STTqpTLzNmzMj06NEj9bx8+ctfzlRXV9f17eXdpEmTMi1btky8n3bt2mVWr16dt76+9rWvJXoqKyvLTJ06tdZrrF27NrPzzjsn1tl7770bsfOk9evXZ04++eREH3379s2sW7cup72kueKKK1Lv6c6dO2cmTJiQ7/ZSXXDBBYl+hwwZku+2AAC2ebJkOlkyd2TJ3GmKWXJLLrrootT39NOf/jTfrQEAbLXkyHRyZO7IkblTCDly/vz5meeee67B64waNSrTunXr1Pdz5ZVXZqFTAAA2R5ZMJ0vmjiyZO4WQJWtjn332SfTYvXv3zMaNG/PdGgAAGTmyJnJk7siRudNUcmRtzJ07N/Wan3/++fluDQBgmyBLppMlC08unr3ywAMPpF7z22+/vU7rnH/++Yk1mjdvnpk/f35W+62L1atXZ7p06dLgczhy5MjUc/R///d/jdL3kCFDEse64IILGuVYAADUjhyZTo4sPHJkwzTVHLk5GzZsyBx99NGp/dxzzz057wcAjHWiQTKZTAwfPjzuvffexLYdd9wxRo8eHb169cpZP1dffXWitnTp0rjoootSJ/Z9WlVVVVx00UWxbNmyTepFRUVx1VVX1bqP2bNnxxFHHBHz589PbPviF78YN998c2JSY2P59re/HQ8//HCdp+992ltvvRVHHHFErFmzJvUYLVu2bND6DfH9738/mjdvvkltw4YNce6556b2m+ayyy6LGTNmJOpp99TmrF+/PjE5s7YqKyvjtNNOi0cffXSTeklJSdx5553RrFmzeq2bLT/+8Y/jl7/8ZaLesWPHeO6552KvvfbKQ1cAADRFsmQ6WTK3ZMncKJQs+corr8S3v/3t+PDDDxu0zoYNG+Ib3/hG3HHHHYlt7du3j6985SsNWh8AgHRyZDo5MrfkyNwolBy5cOHCOOqoo2K//faL22+/PT766KM67b98+fK48sor46ijjorKysrE9h122CF++MMfZqtdAABSyJLpZMnckiVzo1Cy5Ja8/vrr8fbbbyfqF1xwQZSUlOShIwAAPkmOTCdH5pYcmRuFliNXrVpV733fe++9GDJkSOKa9+jRI2666aaGtgYAwBbIkulkyW3XaaedFnvssUeiXlNWTXPffffF3XffnagPHz48unfv3uAe66tly5bx3e9+N1F//vnn4ze/+U2t1li8eHFcdNFFiXrXrl3jkksuaXCPAAAUPjkynRy57ZIjNy8bOfLf//53/OQnP4nly5fX6vU1qaysjDPPPDOeffbZxLa+ffvG5z//+QatDwD1UfT/sXfn0VXX1974dyaQQCBMFQEZRKwgoAyKeouC4myxVRzROmAd1rVaW5/WqbU+z/1dRb1F7VOnqjhSsNZZUYuKEyLKoCgOKCIoc4AwQwj5/eGqT9NzAknOSc4JvF5ruVbZ5/vZ3/09AcKueN4Vqf6pjZ3aJZd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OrHuF2JEO1wAAqL+0ZDotmVtasu4VYktmw1577ZX6nK9fvz7nswAAbC90ZDodmVs6su4VUkeuWLEi07Jly9T3aHX7b/369an/3TjnnHNq8q0BAFBFWjKdlixMufjslcoOkB83bly19vnFL35RMH9v91+ffPJJpmHDhomZvvnNb1Zrn9mzZ2caN26c2Ofyyy+vk7kdrgEAUFh0ZDodWZh0ZO3U147cmuOOOy4xS1FRUWb+/Pl5mQeA7VtxQC106tQpa3v98Ic/TKxt2rQpXnjhhSpdP3bs2Jg8eXJi/brrrouSkpIqz9GgQYO47rrrEuvvvfdevP7661XaI1uPy9577x0nnXRSYv3FF1+MDRs2ZOU+qqNLly5xxBFHJNY//PDDnM/yX/PmzYvnnnsusX7llVdGy5Ytq7XXT3/608TawoUL48knn9zqtcuXL49XXnklsX7WWWfFbrvtVq05IiKuuuqqKC7e/D/RH3/8cfzrX/+q9l7ZsNNOO0VRUVFW9vrRj36Uup6v7w0AgNzTkum0ZO5oydzYllvy7LPPTl3P5+saAGBbpiPT6cjc0ZG5sS13JAAAuacl02nJ3NGSubEttuS4ceNi2rRpifXzzz8/SktLczoLAMD2REem05G5oyNzo5A6ctSoUbFixYrE+ve///1q919paWl8//vfT6w/9thjsWTJkmrtBQBA1WnJdFpy+3XXXXcl1k444YQ49NBDq7XPd77znWjbtm2V9s+V4cOHx/r16zdbKy0tjWuvvbZa++y6665xwQUXJNb/+te/xrp162o1IwAAhU9HptOR2y8duXWF1pFpn7eTyWRi+vTpOZ8FAByuQcE49thjU38p7eOPP67S9Q8//HBirV27djFo0KBqz3L66aen/nD80EMPVXuv2jruuOMSa+vWrYsFCxbkfJaI/0TjF3322Wd5mOQ/Hnnkkdi0adNmaw0aNIghQ4ZUe69DDz00evfunVivyvM+evToxBwREV/72teqPUdExO67754aww888ECN9iskffr0ifbt2yfWq/peBwCAz9OS6bTklmnJ+qfQWjLtNR2R39c1AABVoyPT6cgt05H1T6F1JAAA9ZuWTKclt0xL1j+F0pLDhg1LXR86dGhO5wAAoOZ0ZDoduWU6sv6pbUeOHDkysdaoUaMYPHhwjeY566yzolGjRputrV+/Ph555JEa7QcAQG5pyXRasv6YMGFC6gfEXnLJJdXeq2nTpnHOOeck1h999NHYuHFjjearrbT32IknnhidO3eu9l4XX3xxYq2srCyeffbZGs0GAMD2SUem05H1h46sukLqSJ+3A0AhcbgGBaN58+bRpk2bxPr8+fOrdP1zzz2XWBs4cGCUlpZWe5bS0tIYOHBgle6jru2yyy6p61V9XLKtVatWibXi4vz9pyTtOenXr1/qLyVWxRlnnJFYGzlyZOLUvy964403EmslJSVxyCGH1GiOiIi+ffsm1kaMGJG3QMumLl26JNby9ZoGAKB+05LptOSWacn6qZBaMu01HZHf1zUAAFWjI9PpyC3TkfVTIXUkAAD1m5ZMpyW3TEvWT/luyfLy8tQPPT300ENjr732ytkcAADUjo5MpyO3TEfWT7XpyLTHuk+fPtG4ceMazdK4cePYf//9E+s+nBUAoH7Qkum0ZP2R9vpo0qRJnHjiiTXaL61rly5dmtpSdW3evHkxefLkxPrpp59eo/0OPPDA2HXXXRPr+XiPAQBQf+nIdDqy/tCRVVdIHenzdgAoJP7Xh4KSFlNV+SFp7ty5MXPmzMT60UcfXeNZ0q6dMWNGzJ07t8Z71kRlgZmvHx4XLlyYWNtpp53yMEnE+vXr47XXXkusZ/t5Ly8v32oUpT0uu+66azRt2rTGs6SdyldWVhZvvvlmjfcsFDV9rwMAQBotmaQlK6cl669Casm05y4if69rAACqR0cm6cjK6cj6q5A6EgCA+k9LJmnJymnJ+ivfLfnoo4/GypUrE+tDhw7N2QwAAGSHjkzSkZXTkfVXbToy7bFOe6yqI+360aNHR0VFRa32BQAgN7RkkpasP0aNGpVYO/zww2t8gGDfvn2jSZMmifWRI0fWaL/aSPveIrL/HsvH9wYAQP2mI5N0ZP2hI6unUDrS5+0AUEh8agAFo7y8PBYtWpRYr8oPSZX9Et0hhxxS43kOPvjg1PUJEybUeM+a+Oijj1LX8/XD45gxYxJrhx9+eB4miZg8eXKsXbs2sV6b5/2AAw6IkpKSxPrWnvfFixcn1lq3bl3jObZ0/VtvvVWrfQtB2utaEAEAUBNaMp2WrJyWrL8KqSXTXtMR+XtdAwBQdToynY6snI6svwqpIwEAqN+0ZDotWTktWX/luyWHDRuWWGvWrFkMHjw4ZzMAAFB7OjKdjqycjqy/atORuXqsV69eHVOnTq3VvgAA1D0tmU5L1g+ZTCb1tVGb12DDhg1j//33T6zn+jUYkf4e69SpU3Tq1KnGe6a9x2bNmhXLly+v8Z4AAGxfdGQ6HVk/6MjqK5SOTHtNN2rUKA488MCczgEAEQ7XoIC88sorsWnTpsR69+7dt3rtu+++m1hr0qRJdOvWrcbz9OjRI/XUukmTJtV4z5pIOw2uRYsW0aFDh5zOERHxwgsvxIcffphYP++883I+S0T68x4R0bt37xrv2bRp09TX3Nae9zVr1iTWGjVqVOM5IqLSUxPfeeedWu2bb1OnTo0FCxYk1qvyXgcAgC/Skum0ZOW0ZP1USC2ZyWTiD3/4Q2L9iCOOiK5du+Z8HgAAqkdHptORldOR9VMuOjKTycTixYvj/fffj4kTJ/7vl1EzmUzW7gMAgMKgJdNpycppyfop338nOWPGjNR/dPjVr341WrRokZMZAADIDh2ZTkdWTkfWT7XtSI81AACfpyXTacn64eOPP46ysrLEem26NiJi3333Tazl+jUYkf4eq4vvLSI/3x8AAPWTjkynI+sHHVl9hdCRa9asibvuuiux/tWvfrXWf88JADXhcA0Kxr333ptYKy0tjeOOO26r186cOTOxtvvuu0dRUVGN5ykqKordd989sT5r1qwa71ldixcvjmeeeSaxfsIJJ0RJSUnO5oiImD17dlx88cWJ9SOPPDKOPvronM7yX2nPe/PmzaNjx4612jct7Lf2vLdu3TqxlhZs1VHZKYAzZsyo1b75lvZej4g46aSTcjwJAADbAi2ZpCW3TEvWT4XUktdff32MHTt2s7WioqK46aabcj4LAADVpyOTdOSW6cj6qS478uWXX46TTz452rVrF+3bt4+99torDjzwwOjWrVu0adMmmjZtGv37949rrrkmRo8eXev7AwAg/7RkkpbcMi1ZP+X77ySHDRuWuj506NCc3D8AANmjI5N05JbpyPqpth3psQYA4PO0ZJKWrD/SXoMRtT/EPq1r586dGxs3bqzVvtWV9v3VxfcWkdv3GAAA9ZuOTNKR9YeOrL58d+SmTZvim9/8ZsyePXuz9caNG8e1116bkxkA4IscrkFBmDRpUjzxxBOJ9aOOOipatWq11es/+uijxFqnTp1qPVfaHmn3VVduueWWWLNmTWL9tNNOy9kMmzZtioceeij69u0bc+fO3ey2jh07xvDhw3M2yxelPRc777xzrfetyfPerl27xNqCBQtqNcf8+fNT13P5Gsy2zz77LP785z8n1vfYY4/o1atXHiYCAKA+05LptOSWacn6p1Bact68eXHWWWfFz372s8RtV199dRx11FE5mwUAgJrRkel05JbpyPqnrjvy1VdfjWeffTaWLVuWevvatWtjzJgxccstt8RRRx0V++23XwwfPjw2bdpU6/sGACD3tGQ6LbllWrL+yfffSVZUVMR9992XWO/Zs2ccccQRdX7/AABkj45MpyO3TEfWP9noyLTHurLHqqq2xccaAGB7oCXTacn6o7LXRW1fh2nXV1RUJJ6LurRhw4b49NNPE+u1/d7at28fDRs2TKzrNwAAqkJHptOR9YeOrL58duS0adPiuOOOi7/+9a+J237zm9/EnnvuWeczAECaBvkeACoqKuKb3/xm6gdJ/PCHP6zSHosWLUqs7bjjjrWerWPHjlW6r7owadKk+N3vfpdY33XXXeOMM87Iyn1MnTo1VqxYsdnaxo0bY+XKlTF37tx4++2346mnnkr94bxHjx7x9NNPR9euXbMyS00U0vO+yy67JNYWL14cs2fPjt12261Gc7z55pup67l6DdaF7373u7Fq1arEelXf6wAA8F9aMp2W3LpCet61ZNXUdUuuWLEipk6dmlgvLy+P5cuXx5QpU2LMmDExatSoqKio2OxrioqK4tprr42bb745K7MAAFB3dGQ6Hbl1hfS868iqKbS/k3z33Xfjoosuivvuuy/uv//+6Ny5c17mAACg+rRkOi25dYX0vGvJqsl3Sz7//POpr+eLLrooJ/cPAEB26Mh0OnLrCul515FVk42O3GWXXeL999/fbK2yx6qqKrt+4cKFtdoXAIC6oyXTacn6Je11UVRUFB06dKjVvmmvwf/eX00btbqWLFmS+v7Mxntsxx13THzAa31uZQAAckNHptOR9YuOrJlsd+SiRYti5syZm61lMpkoLy+PJUuWxHvvvRejRo2KsWPHJq5t2LBh/OY3v4lvfOMbNb5/AKgth2uQdz//+c/j9ddfT6yfdNJJccwxx1Rpj6VLlybWqnJq4ta0bNkysbZkyZJa77s1q1evjvPOOy82bNiQuO1Xv/pVlJaWZuV+vvWtb8Urr7xSrWuaN28el112WfzkJz+JZs2aZWWOmsrl875mzZpYs2ZNNGnSJPWaI444InV9xIgRNfqBv6KiIkaOHJl625o1a2L16tXRtGnTau+bT3/961/j0UcfTazvt99+/vEfAADVpiWTtGTVaEkt+UUTJ06Mo446qtrXHXrooXHrrbdG//79szIHAAB1S0cm6ciq0ZE6MltGjx4d++23Xzz33HNx8MEH53UWAACqRksmacmq0ZJasrqGDRuWWGvQoEFccMEFObl/AACyQ0cm6ciq0ZHbZ0ceccQRMWLEiM3W5syZEx988EH07Nmz2nO9//77iQ/T+a9cvN8BAKgZLZmkJeuftNdgs2bNoqSkpFb7pr0GI3LbOGnfW0T9fo8BAFC/6cgkHVn/6MiayfZ77Nlnn63R78kef/zx8ctf/jL23XffGt83AGRDcb4HYPv2wgsvxI033phYb9WqVfzpT3+q8j6rVq1KrDVv3rxWs0VEaoCUl5fXet+tueSSS2Ly5MmJ9dNOOy1rJx9WV7NmzeKWW26JuXPnxi233FIQcZbL5z1iy8/9wQcfHI0bN06s33HHHTWa4amnnopPPvmk0ttz8TrMpkmTJsWll16aWC8tLY2777671iELAMD2RUum05JVoyXrj0JtyX79+sXYsWNj3LhxDtYAAKgndGQ6HVk1OrL+qOuO7NKlSwwdOjTuvPPOePXVV+OTTz6JlStXxoYNG2LhwoUxZcqUuO++++Kiiy6q9AOAli5dGieffHLMmDGjVrMAAFD3tGQ6LVk1WrL+KIS/k1y8eHE8/fTTifUTTzwxOnbsWOf3DwBAdujIdDqyanRk/ZHNjhwwYEDqek0f6y1dV98eZwCA7YWWTKcl659C6tpsS/veIur3ewwAgPpLR6bTkfWPjqyZfHfkqaeeGu+99148//zzDtYAoCA4XIO8mTp1agwePDg2bdqUuO3Pf/5z7LLLLlXeK+2UwAYNGtRqvohIPWVw/fr1td53S37+85/Hgw8+mFjv1KlT3HnnnXV631tSXl4e11xzTZx44onx97//PfV5y7VcPu8RW37uGzVqFF/96lcT65MmTYq77rqrWve/evXq+NGPfrTFr6nr12E2zZ8/P0455ZRYvXp14rabbropDjrooDxMBQBAfaUl02nJqtOS9UMht+SYMWPipJNOiu9+97vx8ccf520OAACqRkem05FVpyPrh7rqyDZt2sS3vvWtmDhxYsyZMyfuvvvuuPjii+Pwww+PnXfeOZo3bx4NGjSI9u3bR69eveJrX/taDBs2LObNmxc/+tGPorg4+Ws5ixYtipNPPjn1tQUAQGHQkum0ZNVpyfqhUP5O8v777099zQwdOjQn9w8AQO3pyHQ6sup0ZP2Q7Y48/PDDY7fddkus//nPf079AKgtmTx5cvz5z3+u9Pb69DgDAGwvtGQ6LVk/FVLXZltlv+tZX99jAADUXzoynY6sn3RkzeS7I//5z3/GscceG9dff30sWrQoZ/cLAJVxuAZ58cknn8RXvvKVKCsrS9x2+eWXx1lnnVWt/SoqKhJrJSUlNZ5vS3ts3Lix1vtW5v7774+f/OQnifWGDRvGY489FjvssEOd3XdVZDKZeP3112Pw4MHRr1+/mDlzZl7nyeXzHrH15/5HP/pRFBUVJdavvPLKGDt2bJXue+PGjXHRRRfFjBkztvh19SWQV6xYESeddFLMnTs3cdvAgQPjqquuysNUAADUV1oynZasHi1Z+OpDSy5btix+97vfxZ577hm/+c1vIpPJ5HskAABS6Mh0OrJ6dGThq8uO/O53vxt//OMfo0+fPtW6rk2bNnHrrbfGSy+9FM2aNUvc/sEHH8Qdd9xR47kAAKg7WjKdlqweLVn4CunvJIcNG5ZY23HHHeOkk07K2QwAANScjkynI6tHRxa+uujIkpKS+P73v59YX7duXZx55pkxf/78Ku0zf/78OPPMM7f4wTn15XEGANheaMl0WrL+KrSuzaa07y2ifr7HAACov3RkOh1Zf+nImimEjpw/f37cfPPN0bNnz3j44Ydzet8A8EUO1yDnFi1aFMcdd1x8/PHHidtOPfXUuP3226u9Z9opbNn4IS9tj8pOo6utf/7znzFkyJDEhzEWFxfH/fffH4ceemjW73P06NGRyWQ2+7N69er49NNPY+zYsfHb3/42+vfvn3rt2LFjo2/fvvHee+9lfa6qyuXzHrH15753795x/vnnJ9ZXrVoVxx13XNx1111b/CXEmTNn/u90ya1p3LjxVr8m39asWRMDBw6MiRMnJm475JBD4qGHHkr9JVsAAEijJdNpyerTkoUtHy155JFHJl7TFRUVsXTp0pg+fXo8+uij8Z3vfCfatWuXuHbt2rVxxRVXxGWXXeaADQCAAqMj0+nI6tORha3Q/07yqKOOiscffzyKi5O/nnPTTTfF2rVr8zAVAACV0ZLptGT1acnCVkgtOX78+Jg8eXJi/Wtf+1rq6wgAgMKiI9PpyOrTkYWtLjtyyJAh0bNnz8T6tGnT4ogjjojRo0dv8fpRo0bF4YcfHtOmTdvi19WHxxkAYHuhJdNpyfqt0Lo2myr7O7v69h4DAKD+0pHpdGT9piNrJtvvsQsvvDDxmt64cWMsXrw4pk2bFg8++GAMHTo0mjdvnrh22bJlcc4558Qtt9xS4/sHgNryLy7IqWXLlsVxxx0XU6dOTdx23HHHxSOPPFKjE9UaNWoUGzZs2Gxt/fr1NZ5zS3s0atSo1vt+0QsvvBBnnnlm4ofVoqKiuOuuu+LMM8/M+n1WpkmTJtGkSZPYaaedom/fvvGd73wnJk2aFBdffHG8+eabm33tokWL4oQTTojJkydHmzZttrjv22+/HevWrav2PC1btoxevXql3pb2XNTV817Z/X3Rn/70p3jzzTcTv4xYXl4el1xySdx2220xaNCgOPDAA6N9+/axZs2amDNnTjz//PPxr3/9a7PHqKioKA488MB46623EvfTtGnT1PtfsWJF6vurKrp16xbt27ev0bVftG7duvh//+//xSuvvJK4bf/994/nnnsumjVrlpX7AgBg26cl02nJymlJLVlbxcXF0aZNm2jTpk107949zjjjjPjlL38Zv/71r+PGG29MvC7vuOOO6Nq1a1x11VU5mQ8AgC3Tkel0ZOV0pI6sS8cff3xceOGFMWzYsM3WlyxZEqNHj44TTjghT5MBAPB5WjKdlqycltSS2fDFVvyvIUOG5GwGAABqRkem05GV05E6Mk2TJk3isccei0MOOSRWr1692W0zZ86Mo446Kvr16xennHJK9OzZM9q0aRPLli2LDz74IJ566ql49dVXN7umXbt20apVq5g1a9Zm65U9zgAA5JaWTKclK7elliwkhdK1ddGSld1XfXqPAQBQf+nIdDqycjpSR9ZWSUlJtGvXLtq1axd77rlnnHPOOXH77bfH9ddfH7/73e9i06ZNm339NddcE7vttlsMHjw4q3MAQFU4XIOcWbFiRRx//PHxzjvvJG4bMGBAPPnkkzX+waxFixaxatWqzdZWrlxZo722tkfLli1rve/njRw5Mk477bTUH1T/8Ic/FMQ/jtpvv/1i7NixcfbZZ8djjz222W2ffvppXHnllXHvvfducY/TTjst9cTLrRkwYECMHj069bYWLVok1urqea/s/r6oWbNm8eSTT1Z6wueHH35Y5dP1fvazn8X8+fMTvzTatGnTSn/hcuLEiXHUUUdVaf8vuvfee+PCCy+s0bWft2HDhjjjjDNixIgRidt69eoVL7744laDHgAA/ktLptOSW6YltWRdaNSoUVxzzTXRv3//OP7446O8vHyz26+//voYNGhQ9OjRI08TAgAQoSMroyO3TEfqyLr2k5/8JPUDU//1r385XAMAoABoyXRacsu0pJasrTVr1sTf/va3xPrhhx8ee+65Z87mAACg+nRkOh25ZTpSR1amd+/e8dBDD8XZZ58da9asSdw+ZsyYGDNmzFb3ady4cTzyyCNxxRVXJG7r0KFDrecEAKB2tGQ6LbllW2rJQpLrrq3sdVgXLVlZQ9eX9xgAAPWXjkynI7dMR+rIutCiRYu4/fbb44gjjoizzjorcbDNt771rTjuuOMK6t9zArB9KM73AGwfVq1aFSeeeGLi9LyIiMMOOyyeeeaZaNKkSY33b9euXWJt+fLlNd5vS3uk3VdNjRkzJgYOHJj6C2+//vWv41vf+lbW7qu2GjRoEA899FDss88+idseeOCBmDdvXs5nyuXz3rJlyygtLa3S9XvssUeMHz8++vbtW6P7Lykpif/7v/+LH//4x6kBs9NOO9Vo31zYuHFjnHXWWfHMM88kbttjjz3i5Zdfjh122CEPkwEAUB9pyXRasna0ZOGpby15+OGHxz333JNYX79+ffz617/Ow0QAAPyXjkynI2tHRxae+taRERG77rpr7L333on1tP9eAQCQW1oynZasHS1ZeAqxJR9//PEoKytLrBfCP+4FAKByOjKdjqwdHVl4ct2Rp556aowePbrGj0m7du3i2WefjaOPPrrePdYAANsDLZlOS2470l4Xa9eujXXr1tVq38pex9l8HW5NZfdVH95jAADUXzoynY7cdujImsl3R55++unxs5/9LLG+dOnSuPPOO3M2BwD8l8M1qHPl5eXxla98JcaOHZu47eCDD47nnnsumjdvXqv76NixY2Jt/vz5tdqzsj3S7qsmxo4dG1/5yleivLw8cdsvfvGLuOKKK7JyP9lUWloav/zlLxPrGzduTJyKmAuF/Lx36NAhxowZE/fee2/stttuVb7u0EMPjXHjxsWVV14ZEZH6j+b22GOPas2SKxUVFXHuuefGE088kbitW7duMXLkyKy9fwAA2PZpyXRasvYK+XnXkpsr5JYcPHhwHHrooYn1Rx55JDKZTB4mAgBAR6bTkbVXyM+7jtxcIXdkRMSBBx6YWFuwYEEeJgEA4L+0ZDotWXuF/Lxryc3lsyXvueeexFrz5s3jzDPPzPksAABUjY5MpyNrr5Cfdx25ubrsyIMPPjjef//9uP7666Nly5ZVuqa4uDjOOeecePfdd+PLX/5yRNSvxxoAYHugJdNpyW1LZa+L2r4OK7s+l3+316ZNm2jYsGFivbbfW0VFRSxatCixXqi/AwsAQO7oyHQ6ctuiI6uvUDryiiuuiC5duiTWH3744ZzOAQARDtegjq1evTpOPvnkGDNmTOK2Aw44IF544YUq/5LXlqT9Ut6cOXNqvW/aHtX5BcDKvP7663HCCSfEqlWrErfdeOONcfXVV9f6PurKsccem3o63auvvprzWdKei08++SQqKipqtW+2nveSkpK48MIL48MPP4yRI0fG1VdfHUcccUR069YtWrZsGSUlJdGmTZs4+OCD44orrojXXnstxo0bF1/60pf+t8f777+f2Ld3797VnqWuVVRUxPnnnx9///vfE7ftuuuuMXLkyOjUqVMeJgMAoD7Skum0ZHZoycJR31ty8ODBibVly5bFlClT8jANAMD2TUem05HZoSMLR33vyA4dOiTWFi5cmIdJAACI0JKV0ZLZoSULR6G25KxZs+KVV15JrA8ePLjW//AZAIC6oSPT6cjs0JGFI98d2bJly7jxxhtj7ty58fjjj8c3vvGNOPDAA6NLly7RpEmTaNiwYXTs2DG+/OUvx8033xzTp0+PBx98MHbeeeeIiFi0aFEsW7YssW8hPtYAANsDLZlOS257Kntd1PZ1mHZ948aNc/rBocXFxdG1a9fEem2/t08++SQ2bdqUWM/GewwAgPpLR6bTkdseHVl9hdKRDRs2jEGDBiXW33vvvVixYkVOZwGABvkegG3XmjVrYuDAgTF69OjEbfvuu2+8+OKL0bp166zcV48ePRJrH3/8caxfvz711LaqWLduXeoPoGn3VR1vvvlmnHDCCbFy5crEbddee21cf/31tdq/rpWUlMT+++8fL7/88mbrW/th/aOPPsr6LGnPxYYNG+Kjjz6Kbt261Xjf6dOnV+m+qqpBgwZx1FFHxVFHHVWt69auXRsffvhhYv2www6r9JojjzwyMplMtWesjU2bNsWFF16Yelpgly5dYuTIkbHLLrvkdCYAAOovLZlOS2aPlkzSkjVz0EEHpa7PmTPHP0IEAMghHZlOR2aPjkzSkdmzfv36fI8AALBd0pLptGT2aMkkLbm5e++9N/XxGDJkSB6mAQBga3RkOh2ZPToyaXvvyJYtW8agQYNSP5hmSyZNmpRYKyoqikMPPTRbowEAUEVaMp2W3DZV9rr48MMPo1+/fjXeN61ru3fvHkVFRalfX1ct2aNHj8QsaZ1bHWnf23/vCwCA7ZOOTKcjt006svoKqSPTPm9n06ZNMW/evOjVq1fO5wFg+1Wc7wHYNq1duzZOPfXUxA/xERG9e/eOl19+Odq2bZu1++vTp09iraKiIiZPnlzjPd97772oqKhIrO+///413nPixIlx3HHHRVlZWeK2q666Kn72s5/VeO9cat++fWJt2bJlOZ8j7XmPSP8FwKpavHhxzJs3L7Fem+e9ptJeg8XFxdG/f/+cz1KZTZs2xZAhQ+KBBx5I3NapU6cYNWpUzk8zBACg/tKS6bRkdmnJ/NtWWjLtNR2Rn9c1AMD2Skem05HZpSPzb1vpyIULFybWWrZsmYdJAAC2b1oynZbMLi2Zf4Xckps2bYr77rsvsb7nnntu8YNlAQDIDx2ZTkdml47Mv0LuyOp4++23E2v77bdfVv87BQDA1mnJdFpy29W+ffvo1KlTYr02XRuR3jj56Nq099i7775bqw9gTfveGjRoEL17967xngAA1F86Mp2O3HbpyOorpI70eTsAFAqHa5B169ati0GDBsWLL76YuG2vvfaKl19+OXbYYYes3udBBx0UxcXJl/PYsWNrvOe4ceMSayUlJXHggQfWaL933nknjj322Fi+fHnitu9///txyy231GjffCgvL0+s1fSUydro1q1btGvXLrGe7ec9IuKQQw6p8Z419fjjjyfWjjzyyIL5RcZMJhOXXHJJ6j/w22mnnWLkyJHRrVu3PEwGAEB9pCXTacns05L5tS21ZNprOiI/r2sAgO2RjkynI7NPR+bXttSREyZMSKztsssueZgEAGD7pSXTacns05L5VegtOWLEiJg7d25ifejQoXmY8hAVwwABAABJREFUBgCALdGR6XRk9unI/Cr0jqyOtMd60KBBeZgEAGD7pSXTacltX1pv1uY1uHz58pg2bVqV7qeupd3nihUrYsqUKTXeM+09tt9++0WjRo1qvCcAAPWTjkynI7d9OrJ6Cqkjfd4OAIXC4Rpk1fr16+OMM86I5557LnFbz549Y+TIkdGhQ4es32/r1q3joIMOSqy/8MILNd4z7dqDDjooWrduXe293nvvvTjmmGNi6dKlidu+973vxW233VaTEfNm3rx5ibUdd9wx53MUFRXF0UcfnVjP9vPesWPHnJ/Il8lk4qGHHkqsn3feeTmdozKZTCYuvfTSuOeeexK37bjjjjFy5MjYY4898jAZAAD1kZZMpyXrhpbMn22tJdNe0xH5eV0DAGxvdGQ6HVk3dGT+bEsdOXv27NRffu3Tp08epgEA2D5pyXRasm5oyfypDy05bNiwxFqDBg3i/PPPz8M0AABURkem05F1Q0fmT33oyKqaPn16vPHGG5utFRUVxTnnnJOniQAAtj9aMp2W3D4cc8wxibW33347Fi1aVKP9Xnrppdi0aVOV7qeuDRgwIBo0aJBYr+l7bMOGDTFy5MjEej6+NwAA8ktHptOR2wcdWXWF1pE+bweAQuFwDbJm48aNMXjw4HjmmWcSt+2xxx4xatSo6NixY53d/ymnnJJYGzFiRCxbtqzaey1dujT19MaBAwdWe6+pU6fGMcccE0uWLEnc9u1vfztuv/32au+ZTwsWLIhJkyYl1nv16pWHadKf98mTJ8fUqVOrvdfGjRvjscceq9J91LW//e1vMXfu3M3WOnToEGeffXbOZ0nzne98J/7yl78k1jt06BAjR46MPffcMw9TAQBQH2nJdFqybmnJ/NjWWrKyv7Tca6+9cjwJAMD2RUem05F1S0fmx7bUkTfffHPqetqHJAEAkH1aMp2WrFtaMj8KvSWXLl0aTz31VGL95JNP9o8KAQAKiI5MpyPrlo7Mj0LvyOpI+yCpU045Jbp165aHaQAAtj9aMp2W3H6cdNJJUVRUtNnapk2b4tFHH63Rfn/7298Saz169MhLp7Vs2TIGDBiQWH/kkUdqtN8LL7wQy5cvT6zX5D0GAED9pSPT6cjth46sukLryLTP22nRokV07tw5D9MAsD1zuAZZUVFREWeffXY8+eSTidu6d+8eI0eOjJ122qlOZzj33HMTPxyvX78+9RfbtubOO++M9evXb7ZWVFQU55xzTrX2+eCDD+Loo4+OhQsXJm679NJL4/e//321Z8u3u+66K/VEviOPPDL3w0TEaaedFs2aNUus/+53v6v2Xo899lgsWLAgsX7eeefVaLaaKisriyuvvDKx/oMf/CAaN26c01nSXHnllfGHP/whsd6+fft4+eWXxToAAFWmJdNpybqnJXNvW2vJ5cuXx9///vfE+t577x3t27fPw0QAANsHHZlOR9Y9HZl721JHvvDCC3Hfffcl1lu0aOEfQgIA5ICWTKcl656WzL360JIPPPBArFu3LrE+ZMiQPEwDAEAaHZlOR9Y9HZl79aEjq2rcuHFx1113bbZWVFQUP/7xj/M0EQDA9kVLptOS25dddtkl+vfvn1j/wx/+EJlMplp7zZ07N/75z38m1nPdtVu77zfffDPeeOONau+V1qK77bZbHHbYYTWaDQCA+kdHptOR2xcdWXWF1JEzZ86Ml156KbHev3//KC72EecA5FgGaqmioiJzzjnnZCIi8Wf33XfPzJ07N2eznHTSSYkZ2rZtm1m8eHGV91i0aFGmTZs2iX1OOeWUas0yY8aMzM4775z6uHzjG9/IbNq0qbrfXt5NnTo106RJk8T306pVq8zq1avzNtdll12WmKm0tDTzwQcfVHmPtWvXZrp3757YZ999963DyZPWr1+fGThwYGKObt26ZdatW5fTWdJcddVVqa/pHXbYIfPuu+/me7xUF1xwQWLeAQMG5HssAIDtnpZMpyVzR0vmTn1sya256KKLUr+nn//85/keDQBgm6Uj0+nI3NGRuVMIHfnpp59mXnrppVrvM3LkyEyzZs1Sv59rrrkmC5MCALAlWjKdlswdLZk7hdCSVbHffvslZtxpp50yGzduzPdoAABkdGRldGTu6MjcqS8dWRXz5s1Lfc7PP//8fI8GALBd0JLptGThycVnrzz66KOpz/mwYcOqtc/555+f2KNRo0aZTz/9NKvzVsfq1asz7du3r/Vj+PLLL6c+Rv/3f/9XJ3MPGDAgcV8XXHBBndwXAABVoyPT6cjCoyNrp7525JZs2LAhc+yxx6bO8+CDD+Z8HgBwrBO1kslkYujQofHQQw8lbtttt91i1KhR0blz55zNc9111yXWli5dGhdddFHqiX1fVFFRERdddFEsW7Zss/WioqK49tprqzzHxx9/HF/+8pfj008/Tdz29a9/Pe64447ESY115Xvf+148+eST1T5974veeeed+PKXvxxr1qxJvY8mTZrUav/a+OEPfxiNGjXabG3Dhg1x7rnnps6b5oorrogZM2Yk1tNeU1uyfv36xMmZVVVeXh6DBg2Kp556arP1kpKSGD58eDRs2LBG+2bLDTfcELfeemtivW3btvHSSy/FPvvsk4epAACoj7RkOi2ZW1oyNwqlJV9//fX43ve+F5999lmt9tmwYUNcfvnlce+99yZua926dVx66aW12h8AgHQ6Mp2OzC0dmRuF0pELFiyIY445Jg488MAYNmxYLFmypFrXL1++PK655po45phjory8PHF7165d48c//nG2xgUAIIWWTKclc0tL5kahtOTWTJgwISZNmpRYv+CCC6KkpCQPEwEA8Hk6Mp2OzC0dmRuF1pGrVq2q8bWzZs2KAQMGJJ7znXfeOW6//fbajgYAwFZoyXRacvs1aNCg2HvvvRPrlbVqmkceeSTuv//+xPrQoUNjp512qvWMNdWkSZP4/ve/n1h/5ZVX4rbbbqvSHosWLYqLLroosd6hQ4e45JJLaj0jAACFT0em05HbLx25ZdnoyH/84x/x05/+NJYvX16lr69MeXl5DB4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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "algo = TargetPercentPipeAlgo(\n", " start_session=algo_start_dt,\n", " end_session=end_dt,\n", " limit_buy_multiplier=1.015,\n", " allow_short=True,\n", " custom_weight=True,\n", " cancel_datedelta=2,\n", " pipeline=make_pipeline,\n", " analyze=analyze,\n", " record_vars=record_vars,\n", " get_record_vars=True,\n", " get_transaction_detail=True\n", ")\n", "\n", "# set_algo_instance\n", "set_algo_instance(algo)\n", "\n", "# run\n", "stats = algo.run()" ] }, { "cell_type": "code", "execution_count": 70, "id": "2e60b5b8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Market_Cap_Dollarslongsshortslong_weightsshort_weights
2023-09-22 00:00:00+00:00Equity(6 [1590])1.980000e+11TrueFalse0.447512NaN
Equity(10 [2301])2.818339e+11FalseTrueNaN0.507101
Equity(24 [2603])2.444465e+11TrueFalse0.552488NaN
Equity(39 [2912])2.739405e+11FalseTrueNaN0.492899
2023-09-25 00:00:00+00:00Equity(10 [2301])2.842023e+11FalseTrueNaN0.590585
Equity(25 [2609])1.599384e+11TrueFalse0.231433NaN
Equity(31 [2883])1.970197e+11FalseTrueNaN0.409415
Equity(34 [2886])5.311406e+11TrueFalse0.768567NaN
2023-09-26 00:00:00+00:00Equity(8 [2002])4.122534e+11FalseTrueNaN0.591931
Equity(10 [2301])2.842023e+11FalseTrueNaN0.408069
Equity(33 [2885])3.197649e+11TrueFalse0.374557NaN
Equity(34 [2886])5.339508e+11TrueFalse0.625443NaN
2023-09-27 00:00:00+00:00Equity(10 [2301])2.842023e+11FalseTrueNaN0.516628
Equity(17 [2357])2.659082e+11FalseTrueNaN0.483372
Equity(25 [2609])1.604622e+11TrueFalse0.231780NaN
Equity(34 [2886])5.318431e+11TrueFalse0.768220NaN
2023-09-28 00:00:00+00:00Equity(6 [1590])1.982000e+11TrueFalse0.272277NaN
Equity(10 [2301])2.842023e+11FalseTrueNaN0.509667
Equity(34 [2886])5.297354e+11TrueFalse0.727723NaN
Equity(39 [2912])2.734207e+11FalseTrueNaN0.490333
2023-10-02 00:00:00+00:00Equity(10 [2301])2.877548e+11FalseTrueNaN0.513247
Equity(24 [2603])2.455047e+11TrueFalse0.316682NaN
Equity(34 [2886])5.297354e+11TrueFalse0.683318NaN
Equity(39 [2912])2.729008e+11FalseTrueNaN0.486753
2023-10-03 00:00:00+00:00Equity(2 [1301])5.067130e+11FalseTrueNaN0.437013
Equity(6 [1590])2.010000e+11TrueFalse0.471237NaN
Equity(14 [2327])2.255366e+11TrueFalse0.528763NaN
Equity(30 [2882])6.527799e+11FalseTrueNaN0.562987
\n", "
" ], "text/plain": [ " Market_Cap_Dollars longs \n", "2023-09-22 00:00:00+00:00 Equity(6 [1590]) 1.980000e+11 True \\\n", " Equity(10 [2301]) 2.818339e+11 False \n", " Equity(24 [2603]) 2.444465e+11 True \n", " Equity(39 [2912]) 2.739405e+11 False \n", "2023-09-25 00:00:00+00:00 Equity(10 [2301]) 2.842023e+11 False \n", " Equity(25 [2609]) 1.599384e+11 True \n", " Equity(31 [2883]) 1.970197e+11 False \n", " Equity(34 [2886]) 5.311406e+11 True \n", "2023-09-26 00:00:00+00:00 Equity(8 [2002]) 4.122534e+11 False \n", " Equity(10 [2301]) 2.842023e+11 False \n", " Equity(33 [2885]) 3.197649e+11 True \n", " Equity(34 [2886]) 5.339508e+11 True \n", "2023-09-27 00:00:00+00:00 Equity(10 [2301]) 2.842023e+11 False \n", " Equity(17 [2357]) 2.659082e+11 False \n", " Equity(25 [2609]) 1.604622e+11 True \n", " Equity(34 [2886]) 5.318431e+11 True \n", "2023-09-28 00:00:00+00:00 Equity(6 [1590]) 1.982000e+11 True \n", " Equity(10 [2301]) 2.842023e+11 False \n", " Equity(34 [2886]) 5.297354e+11 True \n", " Equity(39 [2912]) 2.734207e+11 False \n", "2023-10-02 00:00:00+00:00 Equity(10 [2301]) 2.877548e+11 False \n", " Equity(24 [2603]) 2.455047e+11 True \n", " Equity(34 [2886]) 5.297354e+11 True \n", " Equity(39 [2912]) 2.729008e+11 False \n", "2023-10-03 00:00:00+00:00 Equity(2 [1301]) 5.067130e+11 False \n", " Equity(6 [1590]) 2.010000e+11 True \n", " Equity(14 [2327]) 2.255366e+11 True \n", " Equity(30 [2882]) 6.527799e+11 False \n", "\n", " shorts long_weights \n", "2023-09-22 00:00:00+00:00 Equity(6 [1590]) False 0.447512 \\\n", " Equity(10 [2301]) True NaN \n", " Equity(24 [2603]) False 0.552488 \n", " Equity(39 [2912]) True NaN \n", "2023-09-25 00:00:00+00:00 Equity(10 [2301]) True NaN \n", " Equity(25 [2609]) False 0.231433 \n", " Equity(31 [2883]) True NaN \n", " Equity(34 [2886]) False 0.768567 \n", "2023-09-26 00:00:00+00:00 Equity(8 [2002]) True NaN \n", " Equity(10 [2301]) True NaN \n", " Equity(33 [2885]) False 0.374557 \n", " Equity(34 [2886]) False 0.625443 \n", "2023-09-27 00:00:00+00:00 Equity(10 [2301]) True NaN \n", " Equity(17 [2357]) True NaN \n", " Equity(25 [2609]) False 0.231780 \n", " Equity(34 [2886]) False 0.768220 \n", "2023-09-28 00:00:00+00:00 Equity(6 [1590]) False 0.272277 \n", " Equity(10 [2301]) True NaN \n", " Equity(34 [2886]) False 0.727723 \n", " Equity(39 [2912]) True NaN \n", "2023-10-02 00:00:00+00:00 Equity(10 [2301]) True NaN \n", " Equity(24 [2603]) False 0.316682 \n", " Equity(34 [2886]) False 0.683318 \n", " Equity(39 [2912]) True NaN \n", "2023-10-03 00:00:00+00:00 Equity(2 [1301]) True NaN \n", " Equity(6 [1590]) False 0.471237 \n", " Equity(14 [2327]) False 0.528763 \n", " Equity(30 [2882]) True NaN \n", "\n", " short_weights \n", "2023-09-22 00:00:00+00:00 Equity(6 [1590]) NaN \n", " Equity(10 [2301]) 0.507101 \n", " Equity(24 [2603]) NaN \n", " Equity(39 [2912]) 0.492899 \n", "2023-09-25 00:00:00+00:00 Equity(10 [2301]) 0.590585 \n", " Equity(25 [2609]) NaN \n", " Equity(31 [2883]) 0.409415 \n", " Equity(34 [2886]) NaN \n", "2023-09-26 00:00:00+00:00 Equity(8 [2002]) 0.591931 \n", " Equity(10 [2301]) 0.408069 \n", " Equity(33 [2885]) NaN \n", " Equity(34 [2886]) NaN \n", "2023-09-27 00:00:00+00:00 Equity(10 [2301]) 0.516628 \n", " Equity(17 [2357]) 0.483372 \n", " Equity(25 [2609]) NaN \n", " Equity(34 [2886]) NaN \n", "2023-09-28 00:00:00+00:00 Equity(6 [1590]) NaN \n", " Equity(10 [2301]) 0.509667 \n", " Equity(34 [2886]) NaN \n", " Equity(39 [2912]) 0.490333 \n", "2023-10-02 00:00:00+00:00 Equity(10 [2301]) 0.513247 \n", " Equity(24 [2603]) NaN \n", " Equity(34 [2886]) NaN \n", " Equity(39 [2912]) 0.486753 \n", "2023-10-03 00:00:00+00:00 Equity(2 [1301]) 0.437013 \n", " Equity(6 [1590]) NaN \n", " Equity(14 [2327]) NaN \n", " Equity(30 [2882]) 0.562987 " ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result = run_pipeline(make_pipeline(), algo_start, end)\n", "result.query('(longs == True) | (shorts == True)' )" ] }, { "cell_type": "markdown", "id": "fe386016", "metadata": {}, "source": [ "#### algo.positions" ] }, { "cell_type": "code", "execution_count": 71, "id": "45cadbb1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sidsymbolassetamountcost_basislast_sale_pricemvsumweight
2023-09-22 13:30:00+08:00342886Equity(34 [2886])14742437.85439037.805572627.208058923.600.691485
2023-09-22 13:30:00+08:00464904Equity(46 [4904])3448472.20476272.102486296.408058923.600.308515
2023-09-22 13:30:00+08:00102301Equity(10 [2301])-33495119.468922120.00-4019400.008113352.50-0.495406
2023-09-22 13:30:00+08:00443231Equity(44 [3231])-39941102.046428102.50-4093952.508113352.50-0.504594
2023-09-25 13:30:00+08:00102301Equity(10 [2301])-33646119.468898120.00-4037520.007969312.50-0.506633
2023-09-25 13:30:00+08:00242603Equity(24 [2603])38418116.165508116.004456488.008011632.000.556252
2023-09-25 13:30:00+08:0061590Equity(6 [1590])3624982.405312981.003555144.008011632.000.443748
2023-09-25 13:30:00+08:00392912Equity(39 [2912])-14865263.316060264.50-3931792.507969312.50-0.493367
2023-09-26 13:30:00+08:00102301Equity(10 [2301])-39051119.468888120.00-4686120.007921019.20-0.591606
2023-09-26 13:30:00+08:00252609Equity(25 [2609])3996446.01556545.951836345.807910665.200.232135
2023-09-26 13:30:00+08:00342886Equity(34 [2886])16048437.90471037.856074319.407910665.200.767865
2023-09-26 13:30:00+08:00312883Equity(31 [2883])-27414411.74758611.80-3234899.207921019.20-0.408394
2023-09-27 13:30:00+08:00102301Equity(10 [2301])-26553119.388370120.00-3186360.007701800.80-0.413716
2023-09-27 13:30:00+08:00342886Equity(34 [2886])12902537.94540037.704864242.507806390.100.623110
2023-09-27 13:30:00+08:00332885Equity(33 [2885])11698425.18599225.152942147.607806390.100.376890
2023-09-27 13:30:00+08:0082002Equity(8 [2002])-17742425.33734925.45-4515440.807701800.80-0.586284
2023-09-28 13:30:00+08:00102301Equity(10 [2301])-33420119.711756121.50-4060530.007843566.00-0.517689
2023-09-28 13:30:00+08:00342886Equity(34 [2886])15818437.91007637.705963536.807745131.350.769972
2023-09-28 13:30:00+08:00252609Equity(25 [2609])3919945.51484045.451781594.557745131.350.230028
2023-09-28 13:30:00+08:00172357Equity(17 [2357])-10308365.375480367.00-3783036.007843566.00-0.482311
2023-10-02 13:30:00+08:00102301Equity(10 [2301])-33420119.711756125.50-4194210.006449435.00-0.650322
2023-10-02 13:30:00+08:00342886Equity(34 [2886])14892037.92043137.605599392.005599392.001.000000
2023-10-02 13:30:00+08:00392912Equity(39 [2912])-8575261.819714263.00-2255225.006449435.00-0.349678
2023-10-03 13:30:00+08:00102301Equity(10 [2301])-32363119.706008123.00-3980649.007756069.00-0.513230
2023-10-03 13:30:00+08:00342886Equity(34 [2886])13627637.93589937.655130791.407442672.400.689375
2023-10-03 13:30:00+08:00392912Equity(39 [2912])-14410261.422628262.00-3775420.007756069.00-0.486770
2023-10-03 13:30:00+08:00242603Equity(24 [2603])20922110.657508110.502311881.007442672.400.310625
\n", "
" ], "text/plain": [ " sid symbol asset amount cost_basis \n", "2023-09-22 13:30:00+08:00 34 2886 Equity(34 [2886]) 147424 37.854390 \\\n", "2023-09-22 13:30:00+08:00 46 4904 Equity(46 [4904]) 34484 72.204762 \n", "2023-09-22 13:30:00+08:00 10 2301 Equity(10 [2301]) -33495 119.468922 \n", "2023-09-22 13:30:00+08:00 44 3231 Equity(44 [3231]) -39941 102.046428 \n", "2023-09-25 13:30:00+08:00 10 2301 Equity(10 [2301]) -33646 119.468898 \n", "2023-09-25 13:30:00+08:00 24 2603 Equity(24 [2603]) 38418 116.165508 \n", "2023-09-25 13:30:00+08:00 6 1590 Equity(6 [1590]) 3624 982.405312 \n", "2023-09-25 13:30:00+08:00 39 2912 Equity(39 [2912]) -14865 263.316060 \n", "2023-09-26 13:30:00+08:00 10 2301 Equity(10 [2301]) -39051 119.468888 \n", "2023-09-26 13:30:00+08:00 25 2609 Equity(25 [2609]) 39964 46.015565 \n", "2023-09-26 13:30:00+08:00 34 2886 Equity(34 [2886]) 160484 37.904710 \n", "2023-09-26 13:30:00+08:00 31 2883 Equity(31 [2883]) -274144 11.747586 \n", "2023-09-27 13:30:00+08:00 10 2301 Equity(10 [2301]) -26553 119.388370 \n", "2023-09-27 13:30:00+08:00 34 2886 Equity(34 [2886]) 129025 37.945400 \n", "2023-09-27 13:30:00+08:00 33 2885 Equity(33 [2885]) 116984 25.185992 \n", "2023-09-27 13:30:00+08:00 8 2002 Equity(8 [2002]) -177424 25.337349 \n", "2023-09-28 13:30:00+08:00 10 2301 Equity(10 [2301]) -33420 119.711756 \n", "2023-09-28 13:30:00+08:00 34 2886 Equity(34 [2886]) 158184 37.910076 \n", "2023-09-28 13:30:00+08:00 25 2609 Equity(25 [2609]) 39199 45.514840 \n", "2023-09-28 13:30:00+08:00 17 2357 Equity(17 [2357]) -10308 365.375480 \n", "2023-10-02 13:30:00+08:00 10 2301 Equity(10 [2301]) -33420 119.711756 \n", "2023-10-02 13:30:00+08:00 34 2886 Equity(34 [2886]) 148920 37.920431 \n", "2023-10-02 13:30:00+08:00 39 2912 Equity(39 [2912]) -8575 261.819714 \n", "2023-10-03 13:30:00+08:00 10 2301 Equity(10 [2301]) -32363 119.706008 \n", "2023-10-03 13:30:00+08:00 34 2886 Equity(34 [2886]) 136276 37.935899 \n", "2023-10-03 13:30:00+08:00 39 2912 Equity(39 [2912]) -14410 261.422628 \n", "2023-10-03 13:30:00+08:00 24 2603 Equity(24 [2603]) 20922 110.657508 \n", "\n", " last_sale_price mv sum weight \n", "2023-09-22 13:30:00+08:00 37.80 5572627.20 8058923.60 0.691485 \n", "2023-09-22 13:30:00+08:00 72.10 2486296.40 8058923.60 0.308515 \n", "2023-09-22 13:30:00+08:00 120.00 -4019400.00 8113352.50 -0.495406 \n", "2023-09-22 13:30:00+08:00 102.50 -4093952.50 8113352.50 -0.504594 \n", "2023-09-25 13:30:00+08:00 120.00 -4037520.00 7969312.50 -0.506633 \n", "2023-09-25 13:30:00+08:00 116.00 4456488.00 8011632.00 0.556252 \n", "2023-09-25 13:30:00+08:00 981.00 3555144.00 8011632.00 0.443748 \n", "2023-09-25 13:30:00+08:00 264.50 -3931792.50 7969312.50 -0.493367 \n", "2023-09-26 13:30:00+08:00 120.00 -4686120.00 7921019.20 -0.591606 \n", "2023-09-26 13:30:00+08:00 45.95 1836345.80 7910665.20 0.232135 \n", "2023-09-26 13:30:00+08:00 37.85 6074319.40 7910665.20 0.767865 \n", "2023-09-26 13:30:00+08:00 11.80 -3234899.20 7921019.20 -0.408394 \n", "2023-09-27 13:30:00+08:00 120.00 -3186360.00 7701800.80 -0.413716 \n", "2023-09-27 13:30:00+08:00 37.70 4864242.50 7806390.10 0.623110 \n", "2023-09-27 13:30:00+08:00 25.15 2942147.60 7806390.10 0.376890 \n", "2023-09-27 13:30:00+08:00 25.45 -4515440.80 7701800.80 -0.586284 \n", "2023-09-28 13:30:00+08:00 121.50 -4060530.00 7843566.00 -0.517689 \n", "2023-09-28 13:30:00+08:00 37.70 5963536.80 7745131.35 0.769972 \n", "2023-09-28 13:30:00+08:00 45.45 1781594.55 7745131.35 0.230028 \n", "2023-09-28 13:30:00+08:00 367.00 -3783036.00 7843566.00 -0.482311 \n", "2023-10-02 13:30:00+08:00 125.50 -4194210.00 6449435.00 -0.650322 \n", "2023-10-02 13:30:00+08:00 37.60 5599392.00 5599392.00 1.000000 \n", "2023-10-02 13:30:00+08:00 263.00 -2255225.00 6449435.00 -0.349678 \n", "2023-10-03 13:30:00+08:00 123.00 -3980649.00 7756069.00 -0.513230 \n", "2023-10-03 13:30:00+08:00 37.65 5130791.40 7442672.40 0.689375 \n", "2023-10-03 13:30:00+08:00 262.00 -3775420.00 7756069.00 -0.486770 \n", "2023-10-03 13:30:00+08:00 110.50 2311881.00 7442672.40 0.310625 " ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 計算實際股票部位的weight = 個股持股市值／所有股票部位的持股市值加總\n", "pos = algo.positions\n", "\n", "pos['mv'] = pos['amount'] * pos['last_sale_price']\n", "\n", "positive_sum = pos[pos['mv'] > 0].groupby(level=0)['mv'].sum()\n", "negative_sum = - pos[pos['mv'] < 0].groupby(level=0)['mv'].sum()\n", "pos['sum'] = np.where(pos['mv'] > 0,\n", " pos.index.map(positive_sum),\n", " pos.index.map(negative_sum))\n", "\n", "pos['weight'] = pos['mv'] / pos['sum']\n", "pos" ] }, { "cell_type": "markdown", "id": "0c06db07", "metadata": {}, "source": [ "#### algo.dict_record_vars" ] }, { "cell_type": "code", "execution_count": 72, "id": "815127b9", "metadata": {}, "outputs": [], "source": [ "record_vars = algo.dict_record_vars" ] }, { "cell_type": "code", "execution_count": 73, "id": "b65208b8", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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datesymboldaily_weights
02023-09-22 00:00:00+08:0028860.559924
12023-09-22 00:00:00+08:0049040.249817
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32023-09-22 00:00:00+08:003231-0.411351
42023-09-25 00:00:00+08:002301-0.407072
52023-09-25 00:00:00+08:0026030.449313
62023-09-25 00:00:00+08:0015900.358437
72023-09-25 00:00:00+08:002912-0.396412
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" ], "text/plain": [ " date symbol Market_Cap_Dollars\n", "0 2023-09-21 00:00:00+08:00 1101 2.458148e+11\n", "1 2023-09-21 00:00:00+08:00 1216 4.028549e+11\n", "2 2023-09-21 00:00:00+08:00 1301 5.245370e+11\n", "3 2023-09-21 00:00:00+08:00 1303 5.424682e+11\n", "4 2023-09-21 00:00:00+08:00 1326 3.798049e+11\n", ".. ... ... ...\n", "443 2023-10-03 00:00:00+08:00 6415 1.188855e+11\n", "444 2023-10-03 00:00:00+08:00 6505 7.649346e+11\n", "445 2023-10-03 00:00:00+08:00 6669 2.867389e+11\n", "446 2023-10-03 00:00:00+08:00 9910 1.920654e+11\n", "447 2023-10-03 00:00:00+08:00 IR0001 5.189094e+13\n", "\n", "[448 rows x 3 columns]" ] }, "execution_count": 74, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 個股總市值\n", "record_vars['Market_Cap_Dollars']" ] }, { "cell_type": "markdown", "id": "dc3b1cf8", "metadata": {}, "source": [ "[Return to Menu](#menu) " ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:zipline-tej_v11]", "language": "python", "name": "conda-env-zipline-tej_v11-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 5 }