{
"cells": [
{
"cell_type": "code",
"execution_count": 5,
"id": "379cf3c4-ecf4-4214-9662-2907411db077",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading BTCUSDT 1h bars from Binance ...\n",
"Downloading ETHUSDT 1h bars from Binance ...\n",
"Downloading BNBUSDT 1h bars from Binance ...\n",
"Downloading XRPUSDT 1h bars from Binance ...\n",
"Downloading ADAUSDT 1h bars from Binance ...\n",
"Downloading DOGEUSDT 1h bars from Binance ...\n",
"\n",
"Saved files:\n",
" raw -> part1_binance_data/raw_ohlcv_1h.csv\n",
" clean -> part1_binance_data/clean_ohlcv_1h.csv\n",
" rf -> part1_binance_data/risk_free_DFF_1h.csv\n",
" rets -> part1_binance_data/returns_1h.csv\n",
" obs -> part1_binance_data/obs_summary_1h.csv\n",
"\n",
"Why the risk-free term is often ignorable at mid/high frequency:\n",
" Average |simple return| per 1h bar : 50.3092 bps\n",
" Average lagged risk-free per 1h bar : 0.045669 bps\n",
" RF as % of avg |bar return| : 0.0908%\n",
" Interpretation: the fed-funds contribution per bar is usually orders of magnitude smaller\n",
" than crypto bar-to-bar price moves, so excess and raw simple returns are nearly identical intraday.\n"
]
},
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" symbol | \n",
" n_bars | \n",
" first_bar | \n",
" last_bar | \n",
" inserted_missing_bars | \n",
" repaired_spikes | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" ADAUSDT | \n",
" 36832 | \n",
" 2022-01-01 00:00:00+00:00 | \n",
" 2026-03-15 15:00:00+00:00 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" | 1 | \n",
" BNBUSDT | \n",
" 36832 | \n",
" 2022-01-01 00:00:00+00:00 | \n",
" 2026-03-15 15:00:00+00:00 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" | 2 | \n",
" BTCUSDT | \n",
" 36832 | \n",
" 2022-01-01 00:00:00+00:00 | \n",
" 2026-03-15 15:00:00+00:00 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" | 3 | \n",
" DOGEUSDT | \n",
" 36832 | \n",
" 2022-01-01 00:00:00+00:00 | \n",
" 2026-03-15 15:00:00+00:00 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" | 4 | \n",
" ETHUSDT | \n",
" 36832 | \n",
" 2022-01-01 00:00:00+00:00 | \n",
" 2026-03-15 15:00:00+00:00 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" | 5 | \n",
" XRPUSDT | \n",
" 36832 | \n",
" 2022-01-01 00:00:00+00:00 | \n",
" 2026-03-15 15:00:00+00:00 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" symbol n_bars first_bar last_bar \\\n",
"0 ADAUSDT 36832 2022-01-01 00:00:00+00:00 2026-03-15 15:00:00+00:00 \n",
"1 BNBUSDT 36832 2022-01-01 00:00:00+00:00 2026-03-15 15:00:00+00:00 \n",
"2 BTCUSDT 36832 2022-01-01 00:00:00+00:00 2026-03-15 15:00:00+00:00 \n",
"3 DOGEUSDT 36832 2022-01-01 00:00:00+00:00 2026-03-15 15:00:00+00:00 \n",
"4 ETHUSDT 36832 2022-01-01 00:00:00+00:00 2026-03-15 15:00:00+00:00 \n",
"5 XRPUSDT 36832 2022-01-01 00:00:00+00:00 2026-03-15 15:00:00+00:00 \n",
"\n",
" inserted_missing_bars repaired_spikes \n",
"0 1 0 \n",
"1 1 0 \n",
"2 1 0 \n",
"3 1 0 \n",
"4 1 0 \n",
"5 1 0 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import os, time, warnings\n",
"from pathlib import Path\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"import requests\n",
"import matplotlib.pyplot as plt\n",
"from requests.adapters import HTTPAdapter\n",
"from urllib3.util.retry import Retry\n",
"from IPython.display import display\n",
"\n",
"# =========================\n",
"# ============================================================\n",
"# Part 1 \n",
"# ============================================================# =========================\n",
"SYMBOLS = [\"BTCUSDT\", \"ETHUSDT\", \"BNBUSDT\", \"XRPUSDT\", \"ADAUSDT\", \"DOGEUSDT\"]\n",
"INTERVAL = \"1h\"\n",
"START = pd.Timestamp(\"2022-01-01\", tz=\"UTC\")\n",
"END = pd.Timestamp.now(tz=\"UTC\").floor(\"min\")\n",
"RF_SERIES = \"DFF\" # change to \"EFFR\" if needed\n",
"OUTDIR = Path(\"part1_binance_data\")\n",
"MAKE_PLOTS = True\n",
"\n",
"OUTDIR.mkdir(parents=True, exist_ok=True)\n",
"warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
"\n",
"# =========================\n",
"# Helpers\n",
"# =========================\n",
"def interval_to_timedelta(interval: str) -> pd.Timedelta:\n",
" n, unit = int(interval[:-1]), interval[-1]\n",
" if unit == \"m\":\n",
" return pd.Timedelta(minutes=n)\n",
" if unit == \"h\":\n",
" return pd.Timedelta(hours=n)\n",
" if unit == \"d\":\n",
" return pd.Timedelta(days=n)\n",
" if unit == \"w\":\n",
" return pd.Timedelta(weeks=n)\n",
" raise ValueError(f\"Unsupported interval for this notebook cell: {interval}\")\n",
"\n",
"def interval_to_freq(interval: str) -> str:\n",
" n, unit = int(interval[:-1]), interval[-1]\n",
" if unit == \"m\":\n",
" return f\"{n}min\"\n",
" if unit == \"h\":\n",
" return f\"{n}h\"\n",
" if unit == \"d\":\n",
" return f\"{n}D\"\n",
" if unit == \"w\":\n",
" return f\"{n}W\"\n",
" raise ValueError(f\"Unsupported interval for this notebook cell: {interval}\")\n",
"\n",
"def make_session() -> requests.Session:\n",
" retry = Retry(\n",
" total=5,\n",
" backoff_factor=0.5,\n",
" status_forcelist=[429, 500, 502, 503, 504],\n",
" allowed_methods=frozenset([\"GET\"]),\n",
" raise_on_status=False,\n",
" )\n",
" s = requests.Session()\n",
" s.mount(\"https://\", HTTPAdapter(max_retries=retry))\n",
" s.headers.update({\"User-Agent\": \"Mozilla/5.0\"})\n",
" return s\n",
"\n",
"def save_frame(df: pd.DataFrame, stem: str) -> Path:\n",
" csv_path = OUTDIR / f\"{stem}.csv\"\n",
" df.to_csv(csv_path, index=False)\n",
" return csv_path\n",
"\n",
"def fetch_binance_klines(symbol: str, interval: str, start: pd.Timestamp, end: pd.Timestamp, session: requests.Session) -> pd.DataFrame:\n",
" url = \"https://data-api.binance.vision/api/v3/klines\"\n",
" step_ms = int(interval_to_timedelta(interval).total_seconds() * 1000)\n",
" start_ms = int(pd.Timestamp(start).timestamp() * 1000)\n",
" end_ms = int(pd.Timestamp(end).timestamp() * 1000)\n",
"\n",
" all_rows = []\n",
" current = start_ms\n",
" while current < end_ms:\n",
" params = {\n",
" \"symbol\": symbol,\n",
" \"interval\": interval,\n",
" \"startTime\": current,\n",
" \"endTime\": end_ms,\n",
" \"limit\": 1000,\n",
" }\n",
" r = session.get(url, params=params, timeout=30)\n",
" r.raise_for_status()\n",
" rows = r.json()\n",
" if not rows:\n",
" break\n",
"\n",
" all_rows.extend(rows)\n",
" last_open = rows[-1][0]\n",
" next_current = last_open + step_ms\n",
" if next_current <= current:\n",
" next_current = current + step_ms\n",
" current = next_current\n",
"\n",
" if len(rows) < 1000:\n",
" break\n",
" time.sleep(0.05)\n",
"\n",
" cols = [\n",
" \"open_time\", \"open\", \"high\", \"low\", \"close\", \"volume\",\n",
" \"close_time\", \"quote_volume\", \"n_trades\",\n",
" \"taker_buy_base\", \"taker_buy_quote\", \"ignore\"\n",
" ]\n",
" df = pd.DataFrame(all_rows, columns=cols)\n",
" if df.empty:\n",
" raise ValueError(f\"No Binance klines returned for {symbol}.\")\n",
"\n",
" num_cols = [\"open\", \"high\", \"low\", \"close\", \"volume\", \"quote_volume\", \"taker_buy_base\", \"taker_buy_quote\"]\n",
" int_cols = [\"n_trades\"]\n",
" for c in num_cols:\n",
" df[c] = pd.to_numeric(df[c], errors=\"coerce\")\n",
" for c in int_cols:\n",
" df[c] = pd.to_numeric(df[c], errors=\"coerce\").fillna(0).astype(\"int64\")\n",
"\n",
" df[\"open_time\"] = pd.to_datetime(df[\"open_time\"], unit=\"ms\", utc=True)\n",
" df[\"close_time\"] = pd.to_datetime(df[\"close_time\"], unit=\"ms\", utc=True)\n",
" df[\"symbol\"] = symbol\n",
" df = df[df[\"close_time\"] < pd.Timestamp(end)]\n",
" df = df.drop(columns=[\"ignore\"]).sort_values(\"open_time\").drop_duplicates([\"symbol\", \"open_time\"])\n",
" return df\n",
"\n",
"def repair_symbol_frame(df_symbol: pd.DataFrame, interval: str) -> pd.DataFrame:\n",
" freq = interval_to_freq(interval)\n",
" price_cols = [\"open\", \"high\", \"low\", \"close\"]\n",
" vol_cols = [\"volume\", \"quote_volume\", \"taker_buy_base\", \"taker_buy_quote\"]\n",
" cnt_cols = [\"n_trades\"]\n",
"\n",
" df = df_symbol.sort_values(\"open_time\").drop_duplicates(\"open_time\", keep=\"last\").copy()\n",
" full_index = pd.date_range(df[\"open_time\"].min(), df[\"open_time\"].max(), freq=freq, tz=\"UTC\")\n",
" df = df.set_index(\"open_time\").reindex(full_index)\n",
" df.index.name = \"open_time\"\n",
"\n",
" df[\"was_missing_bar\"] = df[\"symbol\"].isna()\n",
" df[\"symbol\"] = df[\"symbol\"].ffill().bfill()\n",
"\n",
" for c in price_cols + vol_cols + cnt_cols:\n",
" df[c] = pd.to_numeric(df[c], errors=\"coerce\")\n",
"\n",
" df[\"close\"] = df[\"close\"].where(df[\"close\"] > 0)\n",
" df[\"close\"] = df[\"close\"].ffill().bfill()\n",
"\n",
" for c in [\"open\", \"high\", \"low\"]:\n",
" df[c] = df[c].where(df[c] > 0, np.nan).fillna(df[\"close\"])\n",
"\n",
" for c in vol_cols + cnt_cols:\n",
" df[c] = df[c].fillna(0).clip(lower=0)\n",
"\n",
" px_block = df[[\"open\", \"high\", \"low\", \"close\"]]\n",
" df[\"high\"] = px_block.max(axis=1)\n",
" df[\"low\"] = px_block.min(axis=1)\n",
"\n",
" df[\"was_repaired_spike\"] = False\n",
" logc = np.log(df[\"close\"])\n",
" prev_c = df[\"close\"].shift(1)\n",
" next_c = df[\"close\"].shift(-1)\n",
"\n",
" abs_ret_med = np.nanmedian(np.abs(logc.diff()))\n",
" if not np.isfinite(abs_ret_med) or abs_ret_med <= 0:\n",
" abs_ret_med = np.log(1.001)\n",
"\n",
" jump_thr = max(10 * abs_ret_med, np.log(1.25))\n",
" neighbor_thr = max(4 * abs_ret_med, np.log(1.03))\n",
"\n",
" in_jump = np.log(df[\"close\"] / prev_c)\n",
" out_jump = np.log(next_c / df[\"close\"])\n",
" neighbor_move = np.abs(np.log(next_c / prev_c))\n",
"\n",
" glitch = (\n",
" prev_c.notna()\n",
" & next_c.notna()\n",
" & np.isfinite(in_jump)\n",
" & np.isfinite(out_jump)\n",
" & (np.sign(in_jump) != np.sign(out_jump))\n",
" & (np.abs(in_jump) > jump_thr)\n",
" & (np.abs(out_jump) > jump_thr)\n",
" & (neighbor_move < neighbor_thr)\n",
" )\n",
"\n",
" if glitch.any():\n",
" repaired_close = np.exp((np.log(prev_c[glitch]) + np.log(next_c[glitch])) / 2.0)\n",
" scale = repaired_close / df.loc[glitch, \"close\"]\n",
" for c in price_cols:\n",
" df.loc[glitch, c] = df.loc[glitch, c].values * scale.values\n",
" px_block = df[[\"open\", \"high\", \"low\", \"close\"]]\n",
" df[\"high\"] = px_block.max(axis=1)\n",
" df[\"low\"] = px_block.min(axis=1)\n",
" df.loc[glitch, \"was_repaired_spike\"] = True\n",
"\n",
" bar_delta = interval_to_timedelta(interval)\n",
" df[\"close_time\"] = df.index + bar_delta - pd.Timedelta(milliseconds=1)\n",
"\n",
" out = df.reset_index()[[\n",
" \"symbol\", \"open_time\", \"close_time\", \"open\", \"high\", \"low\", \"close\",\n",
" \"volume\", \"quote_volume\", \"n_trades\", \"taker_buy_base\", \"taker_buy_quote\",\n",
" \"was_missing_bar\", \"was_repaired_spike\"\n",
" ]]\n",
" return out\n",
"\n",
"def fetch_fred_series(series_id: str, start: pd.Timestamp, end: pd.Timestamp, session: requests.Session) -> pd.DataFrame:\n",
" start_s = pd.Timestamp(start).strftime(\"%Y-%m-%d\")\n",
" end_s = pd.Timestamp(end).strftime(\"%Y-%m-%d\")\n",
" api_key = os.getenv(\"FRED_API_KEY\", \"\").strip()\n",
"\n",
" if api_key:\n",
" url = \"https://api.stlouisfed.org/fred/series/observations\"\n",
" params = {\n",
" \"series_id\": series_id,\n",
" \"api_key\": api_key,\n",
" \"file_type\": \"json\",\n",
" \"observation_start\": start_s,\n",
" \"observation_end\": end_s,\n",
" }\n",
" r = session.get(url, params=params, timeout=30)\n",
" r.raise_for_status()\n",
" payload = r.json()\n",
" obs = payload.get(\"observations\", [])\n",
" rf = pd.DataFrame(obs)[[\"date\", \"value\"]]\n",
" else:\n",
" csv_url = f\"https://fred.stlouisfed.org/graph/fredgraph.csv?id={series_id}\"\n",
" rf = pd.read_csv(csv_url)\n",
" rf = rf.iloc[:, :2]\n",
" rf.columns = [\"date\", \"value\"]\n",
" rf = rf[(rf[\"date\"] >= start_s) & (rf[\"date\"] <= end_s)]\n",
"\n",
" rf[\"date\"] = pd.to_datetime(rf[\"date\"], utc=True)\n",
" rf[\"value\"] = pd.to_numeric(rf[\"value\"], errors=\"coerce\")\n",
" rf = rf.dropna().sort_values(\"date\").drop_duplicates(\"date\").rename(columns={\"value\": \"rf_annual_pct\"})\n",
" rf[\"rf_annual_decimal\"] = rf[\"rf_annual_pct\"] / 100.0\n",
" return rf\n",
"\n",
"# =========================\n",
"# Requirement checks\n",
"# =========================\n",
"if INTERVAL == \"1d\" and (END - START) < pd.Timedelta(days=1000):\n",
" raise ValueError(\"For daily bars the project asks for at least 1000 observations. Extend START further back.\")\n",
"if INTERVAL == \"1m\" and (END - START) < pd.Timedelta(days=14):\n",
" raise ValueError(\"For 1-minute bars the project asks for at least 2 weeks of data. Extend START further back.\")\n",
"\n",
"# =========================\n",
"# Download raw Binance OHLCV\n",
"# =========================\n",
"session = make_session()\n",
"\n",
"raw_list = []\n",
"for sym in SYMBOLS:\n",
" print(f\"Downloading {sym} {INTERVAL} bars from Binance ...\")\n",
" raw_list.append(fetch_binance_klines(sym, INTERVAL, START, END, session))\n",
"\n",
"raw_ohlcv = pd.concat(raw_list, ignore_index=True).sort_values([\"symbol\", \"open_time\"]).reset_index(drop=True)\n",
"\n",
"# =========================\n",
"# Clean and repair data\n",
"# =========================\n",
"clean_list = []\n",
"for sym, df_sym in raw_ohlcv.groupby(\"symbol\", sort=False):\n",
" clean_list.append(repair_symbol_frame(df_sym, INTERVAL))\n",
"\n",
"clean_ohlcv = pd.concat(clean_list, ignore_index=True).sort_values([\"symbol\", \"open_time\"]).reset_index(drop=True)\n",
"\n",
"# =========================\n",
"# Download risk-free series and align to crypto bars\n",
"# =========================\n",
"bar_index = pd.date_range(\n",
" clean_ohlcv[\"open_time\"].min(),\n",
" clean_ohlcv[\"open_time\"].max(),\n",
" freq=interval_to_freq(INTERVAL),\n",
" tz=\"UTC\"\n",
")\n",
"\n",
"rf_daily = fetch_fred_series(RF_SERIES, START - pd.Timedelta(days=7), END + pd.Timedelta(days=7), session)\n",
"rf_daily[\"date_only\"] = rf_daily[\"date\"].dt.floor(\"D\")\n",
"rf_daily = rf_daily.drop_duplicates(\"date_only\").set_index(\"date_only\").sort_index()\n",
"\n",
"rf_aligned = pd.DataFrame(index=bar_index)\n",
"rf_aligned[\"date_only\"] = rf_aligned.index.floor(\"D\")\n",
"rf_aligned[\"rf_annual_decimal\"] = rf_aligned[\"date_only\"].map(rf_daily[\"rf_annual_decimal\"])\n",
"rf_aligned[\"rf_annual_decimal\"] = rf_aligned[\"rf_annual_decimal\"].ffill().bfill()\n",
"\n",
"interval_days = interval_to_timedelta(INTERVAL) / pd.Timedelta(days=1)\n",
"rf_aligned[\"rf_interval\"] = rf_aligned[\"rf_annual_decimal\"] * (interval_days / 365.0)\n",
"rf_aligned = rf_aligned.reset_index().rename(columns={\"index\": \"open_time\"})\n",
"\n",
"# =========================\n",
"# Compute simple and excess simple returns\n",
"# =========================\n",
"returns = clean_ohlcv[[\"symbol\", \"open_time\", \"close\"]].copy()\n",
"returns[\"simple_return\"] = returns.groupby(\"symbol\", sort=False)[\"close\"].pct_change()\n",
"returns = returns.merge(rf_aligned[[\"open_time\", \"rf_interval\"]], on=\"open_time\", how=\"left\")\n",
"returns[\"rf_lag1\"] = returns.groupby(\"symbol\", sort=False)[\"rf_interval\"].shift(1)\n",
"returns[\"excess_simple_return\"] = returns[\"simple_return\"] - returns[\"rf_lag1\"]\n",
"\n",
"excess_returns_wide = returns.pivot(index=\"open_time\", columns=\"symbol\", values=\"excess_simple_return\").sort_index()\n",
"\n",
"# =========================\n",
"# Save outputs\n",
"# =========================\n",
"raw_path = save_frame(raw_ohlcv, f\"raw_ohlcv_{INTERVAL}\")\n",
"clean_path = save_frame(clean_ohlcv, f\"clean_ohlcv_{INTERVAL}\")\n",
"rf_path = save_frame(rf_aligned, f\"risk_free_{RF_SERIES}_{INTERVAL}\")\n",
"ret_path = save_frame(returns, f\"returns_{INTERVAL}\")\n",
"\n",
"# =========================\n",
"# Summary / diagnostics\n",
"# =========================\n",
"obs_summary = (\n",
" clean_ohlcv.groupby(\"symbol\")\n",
" .agg(\n",
" n_bars=(\"open_time\", \"size\"),\n",
" first_bar=(\"open_time\", \"min\"),\n",
" last_bar=(\"open_time\", \"max\"),\n",
" inserted_missing_bars=(\"was_missing_bar\", \"sum\"),\n",
" repaired_spikes=(\"was_repaired_spike\", \"sum\"),\n",
" )\n",
" .reset_index()\n",
")\n",
"\n",
"obs_summary_path = OUTDIR / f\"obs_summary_{INTERVAL}.csv\"\n",
"obs_summary.to_csv(obs_summary_path, index=False)\n",
"\n",
"avg_abs_simple_bps = 1e4 * returns[\"simple_return\"].abs().mean(skipna=True)\n",
"avg_rf_bps = 1e4 * returns[\"rf_lag1\"].mean(skipna=True)\n",
"rf_share_pct = 100 * avg_rf_bps / avg_abs_simple_bps if avg_abs_simple_bps and np.isfinite(avg_abs_simple_bps) else np.nan\n",
"\n",
"summary_text = f\"\"\"\n",
"Saved files:\n",
" raw -> {raw_path}\n",
" clean -> {clean_path}\n",
" rf -> {rf_path}\n",
" rets -> {ret_path}\n",
" obs -> {obs_summary_path}\n",
"\n",
"Why the risk-free term is often ignorable at mid/high frequency:\n",
" Average |simple return| per {INTERVAL} bar : {avg_abs_simple_bps:.4f} bps\n",
" Average lagged risk-free per {INTERVAL} bar : {avg_rf_bps:.6f} bps\n",
" RF as % of avg |bar return| : {rf_share_pct:.4f}%\n",
" Interpretation: the fed-funds contribution per bar is usually orders of magnitude smaller\n",
" than crypto bar-to-bar price moves, so excess and raw simple returns are nearly identical intraday.\n",
"\"\"\".strip()\n",
"\n",
"print(\"\\n\" + summary_text)\n",
"\n",
"text_path = OUTDIR / f\"summary_{INTERVAL}.txt\"\n",
"text_path.write_text(summary_text, encoding=\"utf-8\")\n",
"\n",
"display(obs_summary)\n",
"\n",
"# =========================\n",
"# Plot return time series\n",
"# =========================\n",
"if MAKE_PLOTS:\n",
" fig, axes = plt.subplots(len(SYMBOLS), 1, figsize=(14, 2.2 * len(SYMBOLS)), sharex=True)\n",
" if len(SYMBOLS) == 1:\n",
" axes = [axes]\n",
"\n",
" for ax, sym in zip(axes, SYMBOLS):\n",
" s = excess_returns_wide[sym].dropna()\n",
" ax.plot(s.index, s.values, linewidth=0.7)\n",
" ax.axhline(0.0, linewidth=0.8, linestyle=\"--\")\n",
" ax.set_ylabel(sym)\n",
" ax.set_title(f\"{sym} excess simple returns ({INTERVAL})\")\n",
"\n",
" plt.xlabel(\"Time (UTC)\")\n",
" plt.tight_layout()\n",
"\n",
" plot_path = OUTDIR / f\"excess_returns_{INTERVAL}.png\"\n",
" fig.savefig(plot_path, dpi=300, bbox_inches=\"tight\")\n",
"\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "774e9979-1572-4f8e-ad37-acca1fd09471",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Universe: ADAUSDT, BNBUSDT, BTCUSDT, DOGEUSDT, ETHUSDT, XRPUSDT\n",
"Sample: 2022-01-01 00:00:00+00:00 -> 2026-03-15 15:00:00+00:00 | bars=36,832\n",
"Initial capital: 10,000 USDT\n",
"Gross cap: 100,000 USDT\n",
"\n",
"Split:\n",
" Train: 2022-01-15 02:00:00+00:00 -> 2024-07-15 09:00:00+00:00\n",
" Valid: 2024-07-15 10:00:00+00:00 -> 2025-05-15 12:00:00+00:00\n",
" Test : 2025-05-15 13:00:00+00:00 -> 2026-03-15 15:00:00+00:00\n",
"\n",
"Saved:\n",
" positions -> part2_strategies/strategy_positions_1h.csv\n",
" ts -> part2_strategies/strategy_timeseries_1h.csv\n",
" summary -> part2_strategies/strategy_summary_1h.csv\n",
" search -> part2_strategies/strategy_param_search_1h.csv\n",
" trend_top5 -> part2_strategies/trend_top5_1h.csv\n",
" mr_top5 -> part2_strategies/mean_reversion_top5_1h.csv\n",
"\n",
"Top trend-following candidates (selected on validation Sharpe):\n",
"Top mean-reversion candidates (selected on validation Sharpe):\n",
"Locked-parameter summary:\n"
]
},
{
"data": {
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"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" strategy | \n",
" lookback_bars | \n",
" turnover_penalty | \n",
" valid_sharpe | \n",
" valid_ann_mean | \n",
" valid_ann_vol | \n",
" valid_cum_pnl_usdt | \n",
" valid_avg_gross_exposure_usdt | \n",
" valid_avg_turnover_usdt | \n",
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\n",
" \n",
" \n",
" \n",
" | 0 | \n",
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" 336 | \n",
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" 26.790115 | \n",
" 10.620437 | \n",
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" 336 | \n",
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" \n",
" | 2 | \n",
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" 336 | \n",
" 0.10 | \n",
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" 24.371099 | \n",
" 10.488280 | \n",
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" 99998.691592 | \n",
" 1453.842467 | \n",
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" \n",
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" 168 | \n",
" 0.02 | \n",
" 1.741618 | \n",
" 18.068021 | \n",
" 10.374274 | \n",
" 150546.219442 | \n",
" 100000.000000 | \n",
" 4014.869710 | \n",
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\n",
" \n",
" | 4 | \n",
" trend_following | \n",
" 24 | \n",
" 0.05 | \n",
" 1.355885 | \n",
" 14.329734 | \n",
" 10.568543 | \n",
" 119398.092124 | \n",
" 99613.102048 | \n",
" 11049.175181 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" strategy lookback_bars turnover_penalty valid_sharpe \\\n",
"0 trend_following 336 0.02 2.522506 \n",
"1 trend_following 336 0.05 2.453835 \n",
"2 trend_following 336 0.10 2.323651 \n",
"3 trend_following 168 0.02 1.741618 \n",
"4 trend_following 24 0.05 1.355885 \n",
"\n",
" valid_ann_mean valid_ann_vol valid_cum_pnl_usdt \\\n",
"0 26.790115 10.620437 223220.377214 \n",
"1 26.006689 10.598386 216692.719470 \n",
"2 24.371099 10.488280 203064.667516 \n",
"3 18.068021 10.374274 150546.219442 \n",
"4 14.329734 10.568543 119398.092124 \n",
"\n",
" valid_avg_gross_exposure_usdt valid_avg_turnover_usdt \n",
"0 100000.000000 2533.371996 \n",
"1 100000.000000 1855.208657 \n",
"2 99998.691592 1453.842467 \n",
"3 100000.000000 4014.869710 \n",
"4 99613.102048 11049.175181 "
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" valid_ann_mean | \n",
" valid_ann_vol | \n",
" valid_cum_pnl_usdt | \n",
" valid_avg_gross_exposure_usdt | \n",
" valid_avg_turnover_usdt | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" mean_reversion | \n",
" 24 | \n",
" 0.10 | \n",
" -1.207123 | \n",
" -8.297442 | \n",
" 6.873733 | \n",
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\n",
" \n",
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" mean_reversion | \n",
" 4 | \n",
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" -1.611577 | \n",
" -10.021358 | \n",
" 6.218354 | \n",
" -83499.878641 | \n",
" 98392.380072 | \n",
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\n",
" \n",
" | 2 | \n",
" mean_reversion | \n",
" 24 | \n",
" 0.05 | \n",
" -1.861791 | \n",
" -13.737947 | \n",
" 7.378888 | \n",
" -114467.208191 | \n",
" 99639.914100 | \n",
" 9819.793865 | \n",
"
\n",
" \n",
" | 3 | \n",
" mean_reversion | \n",
" 12 | \n",
" 0.10 | \n",
" -2.000407 | \n",
" -11.966369 | \n",
" 5.981967 | \n",
" -99706.081180 | \n",
" 96859.651032 | \n",
" 9747.537149 | \n",
"
\n",
" \n",
" | 4 | \n",
" mean_reversion | \n",
" 8 | \n",
" 0.10 | \n",
" -2.111303 | \n",
" -11.444276 | \n",
" 5.420480 | \n",
" -95355.900977 | \n",
" 94589.372318 | \n",
" 10959.516677 | \n",
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\n",
" \n",
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\n",
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],
"text/plain": [
" strategy lookback_bars turnover_penalty valid_sharpe \\\n",
"0 mean_reversion 24 0.10 -1.207123 \n",
"1 mean_reversion 4 0.02 -1.611577 \n",
"2 mean_reversion 24 0.05 -1.861791 \n",
"3 mean_reversion 12 0.10 -2.000407 \n",
"4 mean_reversion 8 0.10 -2.111303 \n",
"\n",
" valid_ann_mean valid_ann_vol valid_cum_pnl_usdt \\\n",
"0 -8.297442 6.873733 -69135.874352 \n",
"1 -10.021358 6.218354 -83499.878641 \n",
"2 -13.737947 7.378888 -114467.208191 \n",
"3 -11.966369 5.981967 -99706.081180 \n",
"4 -11.444276 5.420480 -95355.900977 \n",
"\n",
" valid_avg_gross_exposure_usdt valid_avg_turnover_usdt \n",
"0 98988.246182 7460.502211 \n",
"1 98392.380072 37473.219686 \n",
"2 99639.914100 9819.793865 \n",
"3 96859.651032 9747.537149 \n",
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" \n",
" \n",
" | \n",
" strategy | \n",
" selected_lookback_bars | \n",
" selected_turnover_penalty | \n",
" risk_aversion | \n",
" cov_shrink | \n",
" vol_cov_window_bars | \n",
" validation_sharpe | \n",
" validation_cum_pnl_usdt | \n",
" validation_avg_gross_exposure_usdt | \n",
" validation_avg_turnover_usdt | \n",
" test_sharpe | \n",
" test_cum_pnl_usdt | \n",
" test_avg_gross_exposure_usdt | \n",
" test_avg_turnover_usdt | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" trend_following | \n",
" 336 | \n",
" 0.02 | \n",
" 15.0 | \n",
" 0.25 | \n",
" 168 | \n",
" 2.522506 | \n",
" 223220.377214 | \n",
" 100000.000000 | \n",
" 2533.371996 | \n",
" 0.342979 | \n",
" 21368.559317 | \n",
" 99998.751369 | \n",
" 2522.636059 | \n",
"
\n",
" \n",
" | 1 | \n",
" mean_reversion | \n",
" 24 | \n",
" 0.10 | \n",
" 15.0 | \n",
" 0.25 | \n",
" 168 | \n",
" -1.207123 | \n",
" -69135.874352 | \n",
" 98988.246182 | \n",
" 7460.502211 | \n",
" 0.622691 | \n",
" 17714.805349 | \n",
" 98323.455224 | \n",
" 6246.839169 | \n",
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"text/plain": [
" strategy selected_lookback_bars selected_turnover_penalty \\\n",
"0 trend_following 336 0.02 \n",
"1 mean_reversion 24 0.10 \n",
"\n",
" risk_aversion cov_shrink vol_cov_window_bars validation_sharpe \\\n",
"0 15.0 0.25 168 2.522506 \n",
"1 15.0 0.25 168 -1.207123 \n",
"\n",
" validation_cum_pnl_usdt validation_avg_gross_exposure_usdt \\\n",
"0 223220.377214 100000.000000 \n",
"1 -69135.874352 98988.246182 \n",
"\n",
" validation_avg_turnover_usdt test_sharpe test_cum_pnl_usdt \\\n",
"0 2533.371996 0.342979 21368.559317 \n",
"1 7460.502211 0.622691 17714.805349 \n",
"\n",
" test_avg_gross_exposure_usdt test_avg_turnover_usdt \n",
"0 99998.751369 2522.636059 \n",
"1 98323.455224 6246.839169 "
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"from pathlib import Path\n",
"from IPython.display import display\n",
"\n",
"# ============================================================\n",
"# Part 2 — Two strategies + cost-aware exposure sizing\n",
"# ============================================================\n",
"\n",
"# ----------------------------\n",
"# User config\n",
"# ----------------------------\n",
"INTERVAL = \"1h\" # should match Part 1 output\n",
"DATA_DIR = Path(\"part1_binance_data\")\n",
"OUTDIR = Path(\"part2_strategies\")\n",
"OUTDIR.mkdir(parents=True, exist_ok=True)\n",
"\n",
"STARTING_CAPITAL = 10_000.0\n",
"GROSS_CAP = 100_000.0 # fixed cap from assignment (= 10x initial capital)\n",
"\n",
"VOL_COV_WIN = 168 # 1 week on 1h bars\n",
"RISK_AVERSION = 15.0 # fixed to avoid overfitting\n",
"COV_SHRINK = 0.25 # diagonal shrinkage for covariance stability\n",
"\n",
"TRAIN_FRAC = 0.60\n",
"VALID_FRAC = 0.20 # final 20% acts as out-of-sample test\n",
"\n",
"TREND_LOOKBACK_GRID = [24, 72, 168, 336]\n",
"MR_LOOKBACK_GRID = [4, 8, 12, 24]\n",
"TURNOVER_PENALTY_GRID = [0.02, 0.05, 0.10] # tuned; smaller = more reactive, larger = smoother\n",
"\n",
"MAKE_PLOTS = True\n",
"\n",
"# ----------------------------\n",
"# Helpers\n",
"# ----------------------------\n",
"def interval_to_timedelta(interval: str) -> pd.Timedelta:\n",
" n, unit = int(interval[:-1]), interval[-1]\n",
" if unit == \"m\":\n",
" return pd.Timedelta(minutes=n)\n",
" if unit == \"h\":\n",
" return pd.Timedelta(hours=n)\n",
" if unit == \"d\":\n",
" return pd.Timedelta(days=n)\n",
" if unit == \"w\":\n",
" return pd.Timedelta(weeks=n)\n",
" raise ValueError(f\"Unsupported interval: {interval}\")\n",
"\n",
"def bars_per_year(interval: str) -> float:\n",
" return pd.Timedelta(days=365) / interval_to_timedelta(interval)\n",
"\n",
"BARS_PER_YEAR = float(bars_per_year(INTERVAL))\n",
"\n",
"def safe_save(df: pd.DataFrame, stem: str):\n",
" csv = OUTDIR / f\"{stem}.csv\"\n",
" df.to_csv(csv, index=False)\n",
" return csv\n",
"\n",
"def load_saved_frame(stem: str, interval: str) -> pd.DataFrame:\n",
" csv = DATA_DIR / f\"{stem}_{interval}.csv\"\n",
" pq = DATA_DIR / f\"{stem}_{interval}.parquet\"\n",
" h5 = DATA_DIR / f\"{stem}_{interval}.h5\"\n",
" if csv.exists():\n",
" df = pd.read_csv(csv)\n",
" elif pq.exists():\n",
" df = pd.read_parquet(pq)\n",
" elif h5.exists():\n",
" df = pd.read_hdf(h5, key=\"data\")\n",
" else:\n",
" raise FileNotFoundError(\n",
" f\"Could not find {csv.name}, {pq.name} or {h5.name}. Run Part 1 first or keep clean_ohlcv in memory.\"\n",
" )\n",
" for c in df.columns:\n",
" if \"time\" in c.lower() or c.lower() == \"date\":\n",
" try:\n",
" df[c] = pd.to_datetime(df[c], utc=True)\n",
" except Exception:\n",
" pass\n",
" return df\n",
"\n",
"def project_l1_ball(v: np.ndarray, z: float = 1.0) -> np.ndarray:\n",
" \"\"\"Project v onto {x: ||x||_1 <= z}.\"\"\"\n",
" v = np.asarray(v, dtype=float)\n",
" if z <= 0:\n",
" return np.zeros_like(v)\n",
" if np.sum(np.abs(v)) <= z:\n",
" return v.copy()\n",
" u = np.sort(np.abs(v))[::-1]\n",
" cssv = np.cumsum(u)\n",
" rho = np.nonzero(u * np.arange(1, len(u) + 1) > (cssv - z))[0][-1]\n",
" theta = (cssv[rho] - z) / (rho + 1.0)\n",
" w = np.sign(v) * np.maximum(np.abs(v) - theta, 0.0)\n",
" return w\n",
"\n",
"def ann_sharpe(x: pd.Series, bars_per_year: float) -> float:\n",
" x = pd.Series(x).dropna()\n",
" sd = float(x.std(ddof=0))\n",
" if len(x) < 10 or sd == 0 or not np.isfinite(sd):\n",
" return np.nan\n",
" return np.sqrt(bars_per_year) * float(x.mean()) / sd\n",
"\n",
"def perf_slice(bt: dict, start: int, stop: int, bars_per_year: float) -> dict:\n",
" r = bt[\"ret_on_initial_capital\"].iloc[start:stop].dropna()\n",
" pnl = bt[\"pnl_usdt\"].iloc[start:stop]\n",
" gross = bt[\"gross_exposure_usdt\"].iloc[start:stop]\n",
" turn = bt[\"turnover_usdt\"].iloc[start:stop]\n",
" if len(r) == 0:\n",
" return {\n",
" \"sharpe\": np.nan,\n",
" \"ann_mean\": np.nan,\n",
" \"ann_vol\": np.nan,\n",
" \"cum_pnl_usdt\": np.nan,\n",
" \"avg_gross_exposure_usdt\": np.nan,\n",
" \"avg_turnover_usdt\": np.nan,\n",
" }\n",
" return {\n",
" \"sharpe\": ann_sharpe(r, bars_per_year),\n",
" \"ann_mean\": bars_per_year * float(r.mean()),\n",
" \"ann_vol\": np.sqrt(bars_per_year) * float(r.std(ddof=0)),\n",
" \"cum_pnl_usdt\": float(pnl.sum()),\n",
" \"avg_gross_exposure_usdt\": float(gross.mean()),\n",
" \"avg_turnover_usdt\": float(turn.mean()),\n",
" }\n",
"\n",
"def build_cov_stack(ret_df: pd.DataFrame, win: int = 168, shrink: float = 0.25) -> np.ndarray:\n",
" \"\"\"Precompute rolling shrunk covariance matrices S_t using returns up to t-1.\"\"\"\n",
" R = ret_df.to_numpy(dtype=float)\n",
" T, N = R.shape\n",
" covs = np.full((T, N, N), np.nan, dtype=float)\n",
" min_obs = max(40, N + 5)\n",
" for t in range(win, T):\n",
" X = R[t - win:t] # uses only past returns\n",
" X = X[np.isfinite(X).all(axis=1)]\n",
" if X.shape[0] < min_obs:\n",
" continue\n",
" S = np.cov(X, rowvar=False)\n",
" if not np.all(np.isfinite(S)):\n",
" continue\n",
" D = np.diag(np.diag(S))\n",
" S = (1.0 - shrink) * S + shrink * D + 1e-8 * np.eye(N)\n",
" covs[t] = S\n",
" return covs\n",
"\n",
"def make_trend_mu(close_df: pd.DataFrame, sigma1_df: pd.DataFrame, lookback: int) -> pd.DataFrame:\n",
" \"\"\"\n",
" Trend-following / time-series momentum:\n",
" signal_t ~ tanh( log(P_t / P_{t-L}) / (sigma_t * sqrt(L)) )\n",
" Then shift by 1 bar to avoid lookahead and map to expected-return units using sigma1.\n",
" \"\"\"\n",
" mom = np.log(close_df / close_df.shift(lookback))\n",
" z = mom / (sigma1_df * np.sqrt(lookback) + 1e-12)\n",
" signal = np.tanh(z).shift(1)\n",
" mu = signal * sigma1_df\n",
" return mu\n",
"\n",
"def make_meanrev_mu(close_df: pd.DataFrame, sigma1_df: pd.DataFrame, lookback: int) -> pd.DataFrame:\n",
" \"\"\"\n",
" Cross-sectional short-term mean-reversion:\n",
" take L-bar log return, de-mean cross-sectionally, fade recent winners/losers.\n",
" signal_t ~ -tanh( cs_demeaned_return / (sigma_t * sqrt(L)) )\n",
" \"\"\"\n",
" short = np.log(close_df / close_df.shift(lookback))\n",
" cs = short.sub(short.mean(axis=1), axis=0)\n",
" z = cs / (sigma1_df * np.sqrt(lookback) + 1e-12)\n",
" signal = -np.tanh(z).shift(1)\n",
" mu = signal * sigma1_df\n",
" return mu\n",
"\n",
"def run_strategy(\n",
" mu_df: pd.DataFrame,\n",
" ret_df: pd.DataFrame,\n",
" cov_stack: np.ndarray,\n",
" gross_cap: float,\n",
" initial_capital: float,\n",
" risk_aversion: float,\n",
" turnover_penalty: float,\n",
" neutral: bool = False,\n",
") -> dict:\n",
" \"\"\"\n",
" Solve each bar:\n",
" max_w mu'w - 0.5*lambda*w'Sw - 0.5*kappa||w - w_prev||^2\n",
" s.t. ||w||_1 <= 1\n",
" with theta = gross_cap * w.\n",
" \"\"\"\n",
" idx = ret_df.index\n",
" cols = ret_df.columns\n",
" R = ret_df.to_numpy(dtype=float)\n",
" MU = mu_df.reindex_like(ret_df).to_numpy(dtype=float)\n",
"\n",
" T, N = R.shape\n",
" W = np.zeros((T, N), dtype=float)\n",
" pnl = np.zeros(T, dtype=float)\n",
" gross = np.zeros(T, dtype=float)\n",
" turnover = np.zeros(T, dtype=float)\n",
"\n",
" w_prev = np.zeros(N, dtype=float)\n",
"\n",
" for t in range(T):\n",
" mu_t = MU[t].copy()\n",
" S_t = cov_stack[t]\n",
"\n",
" if not np.isfinite(S_t).any():\n",
" w_t = np.zeros(N, dtype=float)\n",
" else:\n",
" diag = np.diag(S_t)\n",
" valid = np.isfinite(mu_t) & np.isfinite(diag) & (diag > 0)\n",
" if valid.sum() == 0:\n",
" w_t = np.zeros(N, dtype=float)\n",
" else:\n",
" mu_v = mu_t[valid].copy()\n",
" S_v = np.nan_to_num(S_t[np.ix_(valid, valid)], nan=0.0)\n",
" if neutral and valid.sum() > 1:\n",
" mu_v = mu_v - np.mean(mu_v)\n",
"\n",
" A = risk_aversion * S_v + turnover_penalty * np.eye(valid.sum())\n",
" b = mu_v + turnover_penalty * w_prev[valid]\n",
"\n",
" try:\n",
" w_v = np.linalg.solve(A, b)\n",
" except np.linalg.LinAlgError:\n",
" w_v = np.linalg.lstsq(A, b, rcond=None)[0]\n",
"\n",
" w_t = np.zeros(N, dtype=float)\n",
" w_t[valid] = w_v\n",
" w_t = project_l1_ball(w_t, z=1.0)\n",
"\n",
" W[t] = w_t\n",
" pnl[t] = gross_cap * np.nansum(w_t * R[t]) # PnL in USDT on fixed gross cap\n",
" gross[t] = gross_cap * np.nansum(np.abs(w_t)) # should be <= 100,000\n",
" turnover[t] = gross_cap * np.nansum(np.abs(w_t - w_prev))\n",
" w_prev = w_t.copy()\n",
"\n",
" weights = pd.DataFrame(W, index=idx, columns=cols)\n",
" theta = gross_cap * weights\n",
"\n",
" assert np.all(theta.abs().sum(axis=1).fillna(0.0).values <= gross_cap + 1e-6), \"Gross cap violated.\"\n",
"\n",
" ts = pd.DataFrame({\n",
" \"open_time\": idx,\n",
" \"pnl_usdt\": pnl,\n",
" \"ret_on_initial_capital\": pnl / initial_capital,\n",
" \"gross_exposure_usdt\": gross,\n",
" \"turnover_usdt\": turnover,\n",
" \"cum_pnl_usdt\": np.cumsum(pnl),\n",
" \"equity_gross_no_costs\": initial_capital + np.cumsum(pnl),\n",
" }).set_index(\"open_time\")\n",
"\n",
" return {\"weights\": weights, \"theta\": theta, \"timeseries\": ts, \"pnl_usdt\": ts[\"pnl_usdt\"],\n",
" \"ret_on_initial_capital\": ts[\"ret_on_initial_capital\"],\n",
" \"gross_exposure_usdt\": ts[\"gross_exposure_usdt\"],\n",
" \"turnover_usdt\": ts[\"turnover_usdt\"]}\n",
"\n",
"def stack_theta(theta_df: pd.DataFrame, strategy_name: str) -> pd.DataFrame:\n",
" out = theta_df.stack().rename(\"theta_usdt\").reset_index()\n",
" out.columns = [\"open_time\", \"symbol\", \"theta_usdt\"]\n",
" out[\"weight_on_gross_cap\"] = out[\"theta_usdt\"] / GROSS_CAP\n",
" out[\"strategy\"] = strategy_name\n",
" return out[[\"strategy\", \"open_time\", \"symbol\", \"theta_usdt\", \"weight_on_gross_cap\"]]\n",
"\n",
"# ----------------------------\n",
"# Load cleaned OHLCV from Part 1\n",
"# ----------------------------\n",
"if \"clean_ohlcv\" in globals() and isinstance(clean_ohlcv, pd.DataFrame):\n",
" clean_df = clean_ohlcv.copy()\n",
"else:\n",
" clean_df = load_saved_frame(\"clean_ohlcv\", INTERVAL)\n",
"\n",
"for c in [\"open_time\", \"close_time\"]:\n",
" if c in clean_df.columns:\n",
" clean_df[c] = pd.to_datetime(clean_df[c], utc=True)\n",
"\n",
"num_cols = [\"open\", \"high\", \"low\", \"close\", \"volume\", \"quote_volume\", \"taker_buy_base\", \"taker_buy_quote\"]\n",
"for c in num_cols:\n",
" if c in clean_df.columns:\n",
" clean_df[c] = pd.to_numeric(clean_df[c], errors=\"coerce\")\n",
"\n",
"close_wide = (\n",
" clean_df.pivot(index=\"open_time\", columns=\"symbol\", values=\"close\")\n",
" .sort_index()\n",
" .astype(float)\n",
" .ffill()\n",
")\n",
"\n",
"ret_wide = close_wide.pct_change()\n",
"\n",
"symbols = list(close_wide.columns)\n",
"T, N = ret_wide.shape\n",
"if N < 2:\n",
" raise ValueError(\"Need at least two assets for the requested Part 2 implementation.\")\n",
"\n",
"# ----------------------------\n",
"# Volatility and covariance estimates\n",
"# ----------------------------\n",
"sigma1 = ret_wide.rolling(VOL_COV_WIN).std().shift(1) # 1-bar vol estimate known at time t\n",
"cov_stack = build_cov_stack(ret_wide, win=VOL_COV_WIN, shrink=COV_SHRINK)\n",
"\n",
"# ----------------------------\n",
"# Train / validation / test split\n",
"# ----------------------------\n",
"usable_start = max(VOL_COV_WIN + 2, max(TREND_LOOKBACK_GRID) + 2, max(MR_LOOKBACK_GRID) + 2)\n",
"usable_len = T - usable_start\n",
"if usable_len < 200:\n",
" raise ValueError(\"Sample is too short after warm-up for a train/validation/test split.\")\n",
"\n",
"train_end = usable_start + int(TRAIN_FRAC * usable_len)\n",
"valid_end = usable_start + int((TRAIN_FRAC + VALID_FRAC) * usable_len)\n",
"\n",
"train_start_time = ret_wide.index[usable_start]\n",
"train_end_time = ret_wide.index[train_end - 1]\n",
"valid_start_time = ret_wide.index[train_end]\n",
"valid_end_time = ret_wide.index[valid_end - 1]\n",
"test_start_time = ret_wide.index[valid_end]\n",
"test_end_time = ret_wide.index[-1]\n",
"\n",
"# ----------------------------\n",
"# Parameter search: Trend-following\n",
"# ----------------------------\n",
"trend_search_rows = []\n",
"for lb in TREND_LOOKBACK_GRID:\n",
" mu = make_trend_mu(close_wide, sigma1, lb)\n",
" for kappa in TURNOVER_PENALTY_GRID:\n",
" bt = run_strategy(\n",
" mu_df=mu,\n",
" ret_df=ret_wide,\n",
" cov_stack=cov_stack,\n",
" gross_cap=GROSS_CAP,\n",
" initial_capital=STARTING_CAPITAL,\n",
" risk_aversion=RISK_AVERSION,\n",
" turnover_penalty=kappa,\n",
" neutral=False,\n",
" )\n",
" val_stats = perf_slice(bt, train_end, valid_end, BARS_PER_YEAR)\n",
" trend_search_rows.append({\n",
" \"strategy\": \"trend_following\",\n",
" \"lookback_bars\": lb,\n",
" \"turnover_penalty\": kappa,\n",
" \"valid_sharpe\": val_stats[\"sharpe\"],\n",
" \"valid_ann_mean\": val_stats[\"ann_mean\"],\n",
" \"valid_ann_vol\": val_stats[\"ann_vol\"],\n",
" \"valid_cum_pnl_usdt\": val_stats[\"cum_pnl_usdt\"],\n",
" \"valid_avg_gross_exposure_usdt\": val_stats[\"avg_gross_exposure_usdt\"],\n",
" \"valid_avg_turnover_usdt\": val_stats[\"avg_turnover_usdt\"],\n",
" })\n",
"\n",
"trend_search = pd.DataFrame(trend_search_rows).sort_values(\n",
" [\"valid_sharpe\", \"valid_cum_pnl_usdt\"], ascending=[False, False]\n",
").reset_index(drop=True)\n",
"\n",
"best_trend_lb = int(trend_search.loc[0, \"lookback_bars\"])\n",
"best_trend_kappa = float(trend_search.loc[0, \"turnover_penalty\"])\n",
"\n",
"# ----------------------------\n",
"# Parameter search: Mean-reversion\n",
"# ----------------------------\n",
"mr_search_rows = []\n",
"for lb in MR_LOOKBACK_GRID:\n",
" mu = make_meanrev_mu(close_wide, sigma1, lb)\n",
" for kappa in TURNOVER_PENALTY_GRID:\n",
" bt = run_strategy(\n",
" mu_df=mu,\n",
" ret_df=ret_wide,\n",
" cov_stack=cov_stack,\n",
" gross_cap=GROSS_CAP,\n",
" initial_capital=STARTING_CAPITAL,\n",
" risk_aversion=RISK_AVERSION,\n",
" turnover_penalty=kappa,\n",
" neutral=True,\n",
" )\n",
" val_stats = perf_slice(bt, train_end, valid_end, BARS_PER_YEAR)\n",
" mr_search_rows.append({\n",
" \"strategy\": \"mean_reversion\",\n",
" \"lookback_bars\": lb,\n",
" \"turnover_penalty\": kappa,\n",
" \"valid_sharpe\": val_stats[\"sharpe\"],\n",
" \"valid_ann_mean\": val_stats[\"ann_mean\"],\n",
" \"valid_ann_vol\": val_stats[\"ann_vol\"],\n",
" \"valid_cum_pnl_usdt\": val_stats[\"cum_pnl_usdt\"],\n",
" \"valid_avg_gross_exposure_usdt\": val_stats[\"avg_gross_exposure_usdt\"],\n",
" \"valid_avg_turnover_usdt\": val_stats[\"avg_turnover_usdt\"],\n",
" })\n",
"\n",
"mr_search = pd.DataFrame(mr_search_rows).sort_values(\n",
" [\"valid_sharpe\", \"valid_cum_pnl_usdt\"], ascending=[False, False]\n",
").reset_index(drop=True)\n",
"\n",
"best_mr_lb = int(mr_search.loc[0, \"lookback_bars\"])\n",
"best_mr_kappa = float(mr_search.loc[0, \"turnover_penalty\"])\n",
"\n",
"# ----------------------------\n",
"# Final full-sample runs with locked parameters\n",
"# ----------------------------\n",
"trend_mu = make_trend_mu(close_wide, sigma1, best_trend_lb)\n",
"trend_bt = run_strategy(\n",
" mu_df=trend_mu,\n",
" ret_df=ret_wide,\n",
" cov_stack=cov_stack,\n",
" gross_cap=GROSS_CAP,\n",
" initial_capital=STARTING_CAPITAL,\n",
" risk_aversion=RISK_AVERSION,\n",
" turnover_penalty=best_trend_kappa,\n",
" neutral=False,\n",
")\n",
"\n",
"mr_mu = make_meanrev_mu(close_wide, sigma1, best_mr_lb)\n",
"mr_bt = run_strategy(\n",
" mu_df=mr_mu,\n",
" ret_df=ret_wide,\n",
" cov_stack=cov_stack,\n",
" gross_cap=GROSS_CAP,\n",
" initial_capital=STARTING_CAPITAL,\n",
" risk_aversion=RISK_AVERSION,\n",
" turnover_penalty=best_mr_kappa,\n",
" neutral=True,\n",
")\n",
"\n",
"# ----------------------------\n",
"# Summaries\n",
"# ----------------------------\n",
"trend_valid = perf_slice(trend_bt, train_end, valid_end, BARS_PER_YEAR)\n",
"trend_test = perf_slice(trend_bt, valid_end, T, BARS_PER_YEAR)\n",
"\n",
"mr_valid = perf_slice(mr_bt, train_end, valid_end, BARS_PER_YEAR)\n",
"mr_test = perf_slice(mr_bt, valid_end, T, BARS_PER_YEAR)\n",
"\n",
"summary = pd.DataFrame([\n",
" {\n",
" \"strategy\": \"trend_following\",\n",
" \"selected_lookback_bars\": best_trend_lb,\n",
" \"selected_turnover_penalty\": best_trend_kappa,\n",
" \"risk_aversion\": RISK_AVERSION,\n",
" \"cov_shrink\": COV_SHRINK,\n",
" \"vol_cov_window_bars\": VOL_COV_WIN,\n",
" \"validation_sharpe\": trend_valid[\"sharpe\"],\n",
" \"validation_cum_pnl_usdt\": trend_valid[\"cum_pnl_usdt\"],\n",
" \"validation_avg_gross_exposure_usdt\": trend_valid[\"avg_gross_exposure_usdt\"],\n",
" \"validation_avg_turnover_usdt\": trend_valid[\"avg_turnover_usdt\"],\n",
" \"test_sharpe\": trend_test[\"sharpe\"],\n",
" \"test_cum_pnl_usdt\": trend_test[\"cum_pnl_usdt\"],\n",
" \"test_avg_gross_exposure_usdt\": trend_test[\"avg_gross_exposure_usdt\"],\n",
" \"test_avg_turnover_usdt\": trend_test[\"avg_turnover_usdt\"],\n",
" },\n",
" {\n",
" \"strategy\": \"mean_reversion\",\n",
" \"selected_lookback_bars\": best_mr_lb,\n",
" \"selected_turnover_penalty\": best_mr_kappa,\n",
" \"risk_aversion\": RISK_AVERSION,\n",
" \"cov_shrink\": COV_SHRINK,\n",
" \"vol_cov_window_bars\": VOL_COV_WIN,\n",
" \"validation_sharpe\": mr_valid[\"sharpe\"],\n",
" \"validation_cum_pnl_usdt\": mr_valid[\"cum_pnl_usdt\"],\n",
" \"validation_avg_gross_exposure_usdt\": mr_valid[\"avg_gross_exposure_usdt\"],\n",
" \"validation_avg_turnover_usdt\": mr_valid[\"avg_turnover_usdt\"],\n",
" \"test_sharpe\": mr_test[\"sharpe\"],\n",
" \"test_cum_pnl_usdt\": mr_test[\"cum_pnl_usdt\"],\n",
" \"test_avg_gross_exposure_usdt\": mr_test[\"avg_gross_exposure_usdt\"],\n",
" \"test_avg_turnover_usdt\": mr_test[\"avg_turnover_usdt\"],\n",
" }\n",
"])\n",
"\n",
"# ----------------------------\n",
"# Save theta_t and time series\n",
"# ----------------------------\n",
"trend_theta_long = stack_theta(trend_bt[\"theta\"], \"trend_following\")\n",
"mr_theta_long = stack_theta(mr_bt[\"theta\"], \"mean_reversion\")\n",
"strategy_positions = pd.concat([trend_theta_long, mr_theta_long], ignore_index=True)\n",
"\n",
"strategy_ts = pd.concat([\n",
" trend_bt[\"timeseries\"].reset_index().assign(strategy=\"trend_following\"),\n",
" mr_bt[\"timeseries\"].reset_index().assign(strategy=\"mean_reversion\")\n",
"], ignore_index=True)\n",
"\n",
"search_table = pd.concat([trend_search.assign(search_group=\"trend\"), mr_search.assign(search_group=\"mean_reversion\")], ignore_index=True)\n",
"\n",
"positions_path = safe_save(strategy_positions, f\"strategy_positions_{INTERVAL}\")\n",
"ts_path = safe_save(strategy_ts, f\"strategy_timeseries_{INTERVAL}\")\n",
"summary_path = safe_save(summary, f\"strategy_summary_{INTERVAL}\")\n",
"search_path = safe_save(search_table, f\"strategy_param_search_{INTERVAL}\")\n",
"\n",
"trend_top5 = trend_search.head(5)\n",
"mr_top5 = mr_search.head(5)\n",
"trend_top5_path = safe_save(trend_top5, f\"trend_top5_{INTERVAL}\")\n",
"mr_top5_path = safe_save(mr_top5, f\"mean_reversion_top5_{INTERVAL}\")\n",
"\n",
"# ----------------------------\n",
"# Display key outputs\n",
"# ----------------------------\n",
"output_text = \"\\n\".join([\n",
" f\"Universe: {', '.join(symbols)}\",\n",
" f\"Sample: {close_wide.index.min()} -> {close_wide.index.max()} | bars={len(close_wide):,}\",\n",
" f\"Initial capital: {STARTING_CAPITAL:,.0f} USDT\",\n",
" f\"Gross cap: {GROSS_CAP:,.0f} USDT\",\n",
" \"\",\n",
" \"Split:\",\n",
" f\" Train: {train_start_time} -> {train_end_time}\",\n",
" f\" Valid: {valid_start_time} -> {valid_end_time}\",\n",
" f\" Test : {test_start_time} -> {test_end_time}\",\n",
" \"\",\n",
" \"Saved:\",\n",
" f\" positions -> {positions_path}\",\n",
" f\" ts -> {ts_path}\",\n",
" f\" summary -> {summary_path}\",\n",
" f\" search -> {search_path}\",\n",
" f\" trend_top5 -> {trend_top5_path}\",\n",
" f\" mr_top5 -> {mr_top5_path}\",\n",
" \"\",\n",
" \"Top trend-following candidates (selected on validation Sharpe):\",\n",
" \"Top mean-reversion candidates (selected on validation Sharpe):\",\n",
" \"Locked-parameter summary:\",\n",
"])\n",
"\n",
"print(output_text)\n",
"\n",
"text_output_path = OUTDIR / f\"run_output_{INTERVAL}.txt\"\n",
"text_output_path.write_text(output_text, encoding=\"utf-8\")\n",
"\n",
"display(trend_top5)\n",
"display(mr_top5)\n",
"display(summary)\n",
"\n",
"# ----------------------------\n",
"# Optional plots\n",
"# ----------------------------\n",
"if MAKE_PLOTS:\n",
" trend_ts = trend_bt[\"timeseries\"]\n",
" mr_ts = mr_bt[\"timeseries\"]\n",
"\n",
" fig1 = plt.figure(figsize=(12, 4))\n",
" plt.plot(trend_ts.index, trend_ts[\"equity_gross_no_costs\"], label=\"Trend-following\")\n",
" plt.plot(mr_ts.index, mr_ts[\"equity_gross_no_costs\"], label=\"Mean-reversion\")\n",
" plt.title(\"Gross strategy equity (no trading costs yet)\")\n",
" plt.ylabel(\"USDT\")\n",
" plt.xlabel(\"Time\")\n",
" plt.legend()\n",
" plt.tight_layout()\n",
" fig1.savefig(OUTDIR / f\"gross_strategy_equity_{INTERVAL}.png\", dpi=300, bbox_inches=\"tight\")\n",
" plt.show()\n",
"\n",
" fig2 = plt.figure(figsize=(12, 4))\n",
" plt.plot(trend_ts.index, trend_ts[\"gross_exposure_usdt\"], label=\"Trend-following\")\n",
" plt.plot(mr_ts.index, mr_ts[\"gross_exposure_usdt\"], label=\"Mean-reversion\")\n",
" plt.axhline(GROSS_CAP, linestyle=\"--\", linewidth=1.0, label=\"Gross cap\")\n",
" plt.title(\"Gross exposure usage\")\n",
" plt.ylabel(\"USDT\")\n",
" plt.xlabel(\"Time\")\n",
" plt.legend()\n",
" plt.tight_layout()\n",
" fig2.savefig(OUTDIR / f\"gross_exposure_usage_{INTERVAL}.png\", dpi=300, bbox_inches=\"tight\")\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "ab94ff91-e856-4a28-8b91-0e191e3d7a50",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loaded symbols: ADAUSDT, BNBUSDT, BTCUSDT, DOGEUSDT, ETHUSDT, XRPUSDT\n",
"Loaded strategies: mean_reversion, trend_following\n",
"Rolling window used for robust slippage medians: 720 bars\n",
"\n",
"Chosen scalar slippage for Part 4:\n",
" s = 0.00086777 decimal per trade = 8.6777 bps one-way\n",
"\n",
"Saved:\n",
" asset summary -> part3_transaction_costs/slippage_asset_summary_1h.csv\n",
" scalar summary -> part3_transaction_costs/slippage_scalar_summary_1h.csv\n",
" slippage series -> part3_transaction_costs/slippage_series_1h.csv\n",
" sensitivity summary -> part3_transaction_costs/slippage_sensitivity_summary_1h.csv\n",
" sensitivity ts -> part3_transaction_costs/slippage_sensitivity_timeseries_1h.csv\n",
"\n",
"Asset-level slippage estimates:\n",
"Scalar s summaries:\n",
"Strategy sensitivity to slippage:\n"
]
},
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" symbol | \n",
" roll_cov_full_price_change | \n",
" roll_half_spread_price_full | \n",
" roll_slippage_decimal_full | \n",
" roll_slippage_decimal_median_rolling | \n",
" cs_slippage_decimal_median | \n",
" selected_slippage_decimal | \n",
" selected_slippage_bps | \n",
" selected_method | \n",
" median_close | \n",
" avg_quote_volume | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" BNBUSDT | \n",
" 2.991788e-02 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000523 | \n",
" 0.000650 | \n",
" 0.000523 | \n",
" 5.234218 | \n",
" Roll | \n",
" 432.200000 | \n",
" 8.994711e+06 | \n",
"
\n",
" \n",
" | 1 | \n",
" BTCUSDT | \n",
" -1.311764e+03 | \n",
" 36.218285 | \n",
" 0.000766 | \n",
" 0.000597 | \n",
" 0.000512 | \n",
" 0.000597 | \n",
" 5.965289 | \n",
" Roll | \n",
" 47274.560000 | \n",
" 1.049323e+08 | \n",
"
\n",
" \n",
" | 2 | \n",
" ETHUSDT | \n",
" 5.367110e-01 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000692 | \n",
" 0.000692 | \n",
" 6.923680 | \n",
" Corwin-Schultz fallback | \n",
" 2413.645000 | \n",
" 5.125722e+07 | \n",
"
\n",
" \n",
" | 3 | \n",
" ADAUSDT | \n",
" -3.942722e-08 | \n",
" 0.000199 | \n",
" 0.000432 | \n",
" 0.000906 | \n",
" 0.001039 | \n",
" 0.000906 | \n",
" 9.064483 | \n",
" Roll | \n",
" 0.459500 | \n",
" 4.075954e+06 | \n",
"
\n",
" \n",
" | 4 | \n",
" XRPUSDT | \n",
" -2.356353e-06 | \n",
" 0.001535 | \n",
" 0.002573 | \n",
" 0.001041 | \n",
" 0.000867 | \n",
" 0.001041 | \n",
" 10.406778 | \n",
" Roll | \n",
" 0.596700 | \n",
" 1.294580e+07 | \n",
"
\n",
" \n",
" | 5 | \n",
" DOGEUSDT | \n",
" -9.180690e-08 | \n",
" 0.000303 | \n",
" 0.002708 | \n",
" 0.001158 | \n",
" 0.001017 | \n",
" 0.001158 | \n",
" 11.581076 | \n",
" Roll | \n",
" 0.111885 | \n",
" 9.552443e+06 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" symbol roll_cov_full_price_change roll_half_spread_price_full \\\n",
"0 BNBUSDT 2.991788e-02 0.000000 \n",
"1 BTCUSDT -1.311764e+03 36.218285 \n",
"2 ETHUSDT 5.367110e-01 0.000000 \n",
"3 ADAUSDT -3.942722e-08 0.000199 \n",
"4 XRPUSDT -2.356353e-06 0.001535 \n",
"5 DOGEUSDT -9.180690e-08 0.000303 \n",
"\n",
" roll_slippage_decimal_full roll_slippage_decimal_median_rolling \\\n",
"0 0.000000 0.000523 \n",
"1 0.000766 0.000597 \n",
"2 0.000000 0.000000 \n",
"3 0.000432 0.000906 \n",
"4 0.002573 0.001041 \n",
"5 0.002708 0.001158 \n",
"\n",
" cs_slippage_decimal_median selected_slippage_decimal \\\n",
"0 0.000650 0.000523 \n",
"1 0.000512 0.000597 \n",
"2 0.000692 0.000692 \n",
"3 0.001039 0.000906 \n",
"4 0.000867 0.001041 \n",
"5 0.001017 0.001158 \n",
"\n",
" selected_slippage_bps selected_method median_close \\\n",
"0 5.234218 Roll 432.200000 \n",
"1 5.965289 Roll 47274.560000 \n",
"2 6.923680 Corwin-Schultz fallback 2413.645000 \n",
"3 9.064483 Roll 0.459500 \n",
"4 10.406778 Roll 0.596700 \n",
"5 11.581076 Roll 0.111885 \n",
"\n",
" avg_quote_volume \n",
"0 8.994711e+06 \n",
"1 1.049323e+08 \n",
"2 5.125722e+07 \n",
"3 4.075954e+06 \n",
"4 1.294580e+07 \n",
"5 9.552443e+06 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" scope | \n",
" s_decimal | \n",
" s_bps | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" global_all_strategies_turnover_weighted | \n",
" 0.000868 | \n",
" 8.677690 | \n",
"
\n",
" \n",
" | 1 | \n",
" mean_reversion_turnover_weighted | \n",
" 0.000851 | \n",
" 8.505087 | \n",
"
\n",
" \n",
" | 2 | \n",
" trend_following_turnover_weighted | \n",
" 0.000908 | \n",
" 9.083630 | \n",
"
\n",
" \n",
" | 3 | \n",
" cross_asset_median | \n",
" 0.000799 | \n",
" 7.994081 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" scope s_decimal s_bps\n",
"0 global_all_strategies_turnover_weighted 0.000868 8.677690\n",
"1 mean_reversion_turnover_weighted 0.000851 8.505087\n",
"2 trend_following_turnover_weighted 0.000908 9.083630\n",
"3 cross_asset_median 0.000799 7.994081"
]
},
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" \n",
" \n",
" | \n",
" strategy | \n",
" s_multiplier | \n",
" s_used_decimal | \n",
" s_used_bps | \n",
" gross_pnl_usdt | \n",
" cost_usdt | \n",
" net_pnl_usdt | \n",
" total_turnover_usdt | \n",
" avg_turnover_per_bar_usdt | \n",
" strategy_trade_weighted_s_decimal | \n",
" strategy_trade_weighted_s_bps | \n",
" cost_as_pct_of_abs_gross_pnl | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" mean_reversion | \n",
" 0.0 | \n",
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" -141850.666095 | \n",
" 0.000000 | \n",
" -141850.666095 | \n",
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"
\n",
" \n",
" | 1 | \n",
" mean_reversion | \n",
" 0.5 | \n",
" 0.000434 | \n",
" 4.338845 | \n",
" -141850.666095 | \n",
" 106329.122411 | \n",
" -248179.788506 | \n",
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" 6653.540247 | \n",
" 0.000851 | \n",
" 8.505087 | \n",
" 74.958494 | \n",
"
\n",
" \n",
" | 2 | \n",
" mean_reversion | \n",
" 1.0 | \n",
" 0.000868 | \n",
" 8.677690 | \n",
" -141850.666095 | \n",
" 212658.244822 | \n",
" -354508.910917 | \n",
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" 0.000851 | \n",
" 8.505087 | \n",
" 149.916987 | \n",
"
\n",
" \n",
" | 3 | \n",
" mean_reversion | \n",
" 1.5 | \n",
" 0.001302 | \n",
" 13.016535 | \n",
" -141850.666095 | \n",
" 318987.367232 | \n",
" -460838.033328 | \n",
" 2.450632e+08 | \n",
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" 0.000851 | \n",
" 8.505087 | \n",
" 224.875481 | \n",
"
\n",
" \n",
" | 4 | \n",
" mean_reversion | \n",
" 2.0 | \n",
" 0.001736 | \n",
" 17.355380 | \n",
" -141850.666095 | \n",
" 425316.489643 | \n",
" -567167.155738 | \n",
" 2.450632e+08 | \n",
" 6653.540247 | \n",
" 0.000851 | \n",
" 8.505087 | \n",
" 299.833974 | \n",
"
\n",
" \n",
" | 5 | \n",
" mean_reversion | \n",
" 3.0 | \n",
" 0.002603 | \n",
" 26.033070 | \n",
" -141850.666095 | \n",
" 637974.734465 | \n",
" -779825.400560 | \n",
" 2.450632e+08 | \n",
" 6653.540247 | \n",
" 0.000851 | \n",
" 8.505087 | \n",
" 449.750961 | \n",
"
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" \n",
" | 6 | \n",
" trend_following | \n",
" 0.0 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 333853.022778 | \n",
" 0.000000 | \n",
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" 1.041990e+08 | \n",
" 2829.033921 | \n",
" 0.000908 | \n",
" 9.083630 | \n",
" 0.000000 | \n",
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" \n",
" | 7 | \n",
" trend_following | \n",
" 0.5 | \n",
" 0.000434 | \n",
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" 45210.321560 | \n",
" 288642.701219 | \n",
" 1.041990e+08 | \n",
" 2829.033921 | \n",
" 0.000908 | \n",
" 9.083630 | \n",
" 13.541984 | \n",
"
\n",
" \n",
" | 8 | \n",
" trend_following | \n",
" 1.0 | \n",
" 0.000868 | \n",
" 8.677690 | \n",
" 333853.022778 | \n",
" 90420.643119 | \n",
" 243432.379659 | \n",
" 1.041990e+08 | \n",
" 2829.033921 | \n",
" 0.000908 | \n",
" 9.083630 | \n",
" 27.083967 | \n",
"
\n",
" \n",
" | 9 | \n",
" trend_following | \n",
" 1.5 | \n",
" 0.001302 | \n",
" 13.016535 | \n",
" 333853.022778 | \n",
" 135630.964679 | \n",
" 198222.058099 | \n",
" 1.041990e+08 | \n",
" 2829.033921 | \n",
" 0.000908 | \n",
" 9.083630 | \n",
" 40.625951 | \n",
"
\n",
" \n",
" | 10 | \n",
" trend_following | \n",
" 2.0 | \n",
" 0.001736 | \n",
" 17.355380 | \n",
" 333853.022778 | \n",
" 180841.286238 | \n",
" 153011.736540 | \n",
" 1.041990e+08 | \n",
" 2829.033921 | \n",
" 0.000908 | \n",
" 9.083630 | \n",
" 54.167934 | \n",
"
\n",
" \n",
" | 11 | \n",
" trend_following | \n",
" 3.0 | \n",
" 0.002603 | \n",
" 26.033070 | \n",
" 333853.022778 | \n",
" 271261.929358 | \n",
" 62591.093420 | \n",
" 1.041990e+08 | \n",
" 2829.033921 | \n",
" 0.000908 | \n",
" 9.083630 | \n",
" 81.251902 | \n",
"
\n",
" \n",
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],
"text/plain": [
" strategy s_multiplier s_used_decimal s_used_bps gross_pnl_usdt \\\n",
"0 mean_reversion 0.0 0.000000 0.000000 -141850.666095 \n",
"1 mean_reversion 0.5 0.000434 4.338845 -141850.666095 \n",
"2 mean_reversion 1.0 0.000868 8.677690 -141850.666095 \n",
"3 mean_reversion 1.5 0.001302 13.016535 -141850.666095 \n",
"4 mean_reversion 2.0 0.001736 17.355380 -141850.666095 \n",
"5 mean_reversion 3.0 0.002603 26.033070 -141850.666095 \n",
"6 trend_following 0.0 0.000000 0.000000 333853.022778 \n",
"7 trend_following 0.5 0.000434 4.338845 333853.022778 \n",
"8 trend_following 1.0 0.000868 8.677690 333853.022778 \n",
"9 trend_following 1.5 0.001302 13.016535 333853.022778 \n",
"10 trend_following 2.0 0.001736 17.355380 333853.022778 \n",
"11 trend_following 3.0 0.002603 26.033070 333853.022778 \n",
"\n",
" cost_usdt net_pnl_usdt total_turnover_usdt \\\n",
"0 0.000000 -141850.666095 2.450632e+08 \n",
"1 106329.122411 -248179.788506 2.450632e+08 \n",
"2 212658.244822 -354508.910917 2.450632e+08 \n",
"3 318987.367232 -460838.033328 2.450632e+08 \n",
"4 425316.489643 -567167.155738 2.450632e+08 \n",
"5 637974.734465 -779825.400560 2.450632e+08 \n",
"6 0.000000 333853.022778 1.041990e+08 \n",
"7 45210.321560 288642.701219 1.041990e+08 \n",
"8 90420.643119 243432.379659 1.041990e+08 \n",
"9 135630.964679 198222.058099 1.041990e+08 \n",
"10 180841.286238 153011.736540 1.041990e+08 \n",
"11 271261.929358 62591.093420 1.041990e+08 \n",
"\n",
" avg_turnover_per_bar_usdt strategy_trade_weighted_s_decimal \\\n",
"0 6653.540247 0.000851 \n",
"1 6653.540247 0.000851 \n",
"2 6653.540247 0.000851 \n",
"3 6653.540247 0.000851 \n",
"4 6653.540247 0.000851 \n",
"5 6653.540247 0.000851 \n",
"6 2829.033921 0.000908 \n",
"7 2829.033921 0.000908 \n",
"8 2829.033921 0.000908 \n",
"9 2829.033921 0.000908 \n",
"10 2829.033921 0.000908 \n",
"11 2829.033921 0.000908 \n",
"\n",
" strategy_trade_weighted_s_bps cost_as_pct_of_abs_gross_pnl \n",
"0 8.505087 0.000000 \n",
"1 8.505087 74.958494 \n",
"2 8.505087 149.916987 \n",
"3 8.505087 224.875481 \n",
"4 8.505087 299.833974 \n",
"5 8.505087 449.750961 \n",
"6 9.083630 0.000000 \n",
"7 9.083630 13.541984 \n",
"8 9.083630 27.083967 \n",
"9 9.083630 40.625951 \n",
"10 9.083630 54.167934 \n",
"11 9.083630 81.251902 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Interpretation at 1.0x estimated slippage:\n",
" mean_reversion: gross PnL = -141850.67 USDT, cost drag = 212658.24 USDT, net PnL = -354508.91 USDT, cost drag = 149.92% of |gross PnL|.\n",
" trend_following: gross PnL = 333853.02 USDT, cost drag = 90420.64 USDT, net PnL = 243432.38 USDT, cost drag = 27.08% of |gross PnL|.\n",
" More turnover-intensive strategy under this estimate: mean_reversion\n"
]
},
{
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"from pathlib import Path\n",
"from IPython.display import display\n",
"\n",
"# ============================================================\n",
"# Part 3 — Transaction costs / slippage estimation\n",
"# ============================================================\n",
"\n",
"# ----------------------------\n",
"# User config\n",
"# ----------------------------\n",
"INTERVAL = \"1h\" # should match your Part 1 / Part 2 runs\n",
"\n",
"PART1_DIR = Path(\"part1_binance_data\")\n",
"PART2_DIR = Path(\"part2_strategies\")\n",
"OUTDIR = Path(\"part3_transaction_costs\")\n",
"OUTDIR.mkdir(parents=True, exist_ok=True)\n",
"\n",
"USE_CS_FALLBACK = True\n",
"SENSITIVITY_MULTIPLIERS = [0.0, 0.5, 1.0, 1.5, 2.0, 3.0]\n",
"MAKE_PLOTS = True\n",
"\n",
"# Rolling window for diagnostics / robust medians:\n",
"# default ~30 calendar days of bars, with reasonable bounds\n",
"def interval_to_timedelta(interval: str) -> pd.Timedelta:\n",
" n, unit = int(interval[:-1]), interval[-1]\n",
" if unit == \"m\":\n",
" return pd.Timedelta(minutes=n)\n",
" if unit == \"h\":\n",
" return pd.Timedelta(hours=n)\n",
" if unit == \"d\":\n",
" return pd.Timedelta(days=n)\n",
" if unit == \"w\":\n",
" return pd.Timedelta(weeks=n)\n",
" raise ValueError(f\"Unsupported interval: {interval}\")\n",
"\n",
"BAR_DT = interval_to_timedelta(INTERVAL)\n",
"ROLL_WINDOW_BARS = int(pd.Timedelta(days=30) / BAR_DT)\n",
"ROLL_WINDOW_BARS = max(100, min(5000, ROLL_WINDOW_BARS))\n",
"\n",
"# ----------------------------\n",
"# Helpers\n",
"# ----------------------------\n",
"def load_saved_frame(directory: Path, stem: str, interval: str) -> pd.DataFrame:\n",
" pq = directory / f\"{stem}_{interval}.parquet\"\n",
" h5 = directory / f\"{stem}_{interval}.h5\"\n",
" csv = directory / f\"{stem}_{interval}.csv\"\n",
" if pq.exists():\n",
" df = pd.read_parquet(pq)\n",
" elif h5.exists():\n",
" df = pd.read_hdf(h5, key=\"data\")\n",
" elif csv.exists():\n",
" df = pd.read_csv(csv)\n",
" else:\n",
" raise FileNotFoundError(f\"Could not find {pq.name}, {h5.name}, or {csv.name} in {directory}.\")\n",
" for c in df.columns:\n",
" if \"time\" in c.lower() or c.lower() == \"date\":\n",
" try:\n",
" df[c] = pd.to_datetime(df[c], utc=True)\n",
" except Exception:\n",
" pass\n",
" return df\n",
"\n",
"def safe_save(df: pd.DataFrame, stem: str):\n",
" csv = OUTDIR / f\"{stem}.csv\"\n",
" df.to_csv(csv, index=False)\n",
" return csv\n",
"\n",
"def weighted_mean(values, weights):\n",
" v = np.asarray(values, dtype=float)\n",
" w = np.asarray(weights, dtype=float)\n",
" mask = np.isfinite(v) & np.isfinite(w) & (w >= 0)\n",
" if mask.sum() == 0:\n",
" return np.nan\n",
" if w[mask].sum() <= 0:\n",
" return np.nanmedian(v[mask])\n",
" return np.average(v[mask], weights=w[mask])\n",
"\n",
"# ----------------------------\n",
"# Load Part 1 clean OHLCV\n",
"# ----------------------------\n",
"if \"clean_ohlcv\" in globals() and isinstance(clean_ohlcv, pd.DataFrame):\n",
" ohlcv = clean_ohlcv.copy()\n",
"else:\n",
" ohlcv = load_saved_frame(PART1_DIR, \"clean_ohlcv\", INTERVAL)\n",
"\n",
"for c in [\"open_time\", \"close_time\"]:\n",
" if c in ohlcv.columns:\n",
" ohlcv[c] = pd.to_datetime(ohlcv[c], utc=True)\n",
"\n",
"for c in [\"open\", \"high\", \"low\", \"close\", \"volume\", \"quote_volume\"]:\n",
" if c in ohlcv.columns:\n",
" ohlcv[c] = pd.to_numeric(ohlcv[c], errors=\"coerce\")\n",
"\n",
"ohlcv = ohlcv.sort_values([\"symbol\", \"open_time\"]).reset_index(drop=True)\n",
"\n",
"close_wide = ohlcv.pivot(index=\"open_time\", columns=\"symbol\", values=\"close\").sort_index().astype(float)\n",
"high_wide = ohlcv.pivot(index=\"open_time\", columns=\"symbol\", values=\"high\").sort_index().astype(float)\n",
"low_wide = ohlcv.pivot(index=\"open_time\", columns=\"symbol\", values=\"low\").sort_index().astype(float)\n",
"\n",
"ret_wide = close_wide.pct_change()\n",
"symbols = list(close_wide.columns)\n",
"\n",
"# ----------------------------\n",
"# Load Part 2 positions\n",
"# ----------------------------\n",
"if \"strategy_positions\" in globals() and isinstance(strategy_positions, pd.DataFrame):\n",
" pos_long = strategy_positions.copy()\n",
"else:\n",
" pos_long = load_saved_frame(PART2_DIR, \"strategy_positions\", INTERVAL)\n",
"\n",
"pos_long[\"open_time\"] = pd.to_datetime(pos_long[\"open_time\"], utc=True)\n",
"pos_long[\"theta_usdt\"] = pd.to_numeric(pos_long[\"theta_usdt\"], errors=\"coerce\").fillna(0.0)\n",
"pos_long = pos_long.sort_values([\"strategy\", \"open_time\", \"symbol\"]).reset_index(drop=True)\n",
"\n",
"strategies = sorted(pos_long[\"strategy\"].dropna().unique().tolist())\n",
"if len(strategies) == 0:\n",
" raise ValueError(\"No strategies found in Part 2 strategy_positions file.\")\n",
"\n",
"# restrict to common symbols\n",
"symbols = sorted(set(symbols).intersection(set(pos_long[\"symbol\"].unique())))\n",
"close_wide = close_wide.reindex(columns=symbols)\n",
"high_wide = high_wide.reindex(columns=symbols)\n",
"low_wide = low_wide.reindex(columns=symbols)\n",
"ret_wide = ret_wide.reindex(columns=symbols)\n",
"\n",
"# ----------------------------\n",
"# Step 1 — Asset-level slippage estimation\n",
"# ----------------------------\n",
"asset_rows = []\n",
"slippage_series_long = []\n",
"\n",
"for sym in symbols:\n",
" close = close_wide[sym].astype(float)\n",
" high = high_wide[sym].astype(float)\n",
" low = low_wide[sym].astype(float)\n",
"\n",
" # -------- Roll model --------\n",
" # Assignment wants s as decimal per trade.\n",
" # Roll gives half-spread in price units:\n",
" # c = sqrt( -Cov(Δp_t, Δp_{t-1}) )\n",
" # We convert to decimal one-way slippage by dividing by price.\n",
" dp = close.diff()\n",
" cov_full = dp.cov(dp.shift(1))\n",
" c_roll_price_full = np.sqrt(max(-cov_full, 0.0)) if pd.notna(cov_full) else np.nan\n",
" s_roll_full = c_roll_price_full / np.nanmedian(close.values) if np.isfinite(c_roll_price_full) else np.nan\n",
"\n",
" cov_roll = dp.rolling(ROLL_WINDOW_BARS).cov(dp.shift(1))\n",
" c_roll_price_series = np.sqrt((-cov_roll).clip(lower=0))\n",
" price_norm = close.rolling(ROLL_WINDOW_BARS).median()\n",
" s_roll_series = (c_roll_price_series / price_norm).replace([np.inf, -np.inf], np.nan)\n",
"\n",
" # robust asset estimate from rolling median, fallback to full-sample Roll\n",
" s_roll_med = np.nanmedian(s_roll_series.values)\n",
"\n",
" # -------- Corwin-Schultz fallback --------\n",
" # One-way cost = 0.5 * proportional spread\n",
" log_hl = np.log(high / low).replace([np.inf, -np.inf], np.nan)\n",
" beta = log_hl.pow(2) + log_hl.shift(1).pow(2)\n",
"\n",
" high_2 = pd.concat([high, high.shift(1)], axis=1).max(axis=1)\n",
" low_2 = pd.concat([low, low.shift(1)], axis=1).min(axis=1)\n",
" gamma = np.log(high_2 / low_2).pow(2).replace([np.inf, -np.inf], np.nan)\n",
"\n",
" k = 3 - 2 * np.sqrt(2)\n",
" alpha = ((np.sqrt(2 * beta) - np.sqrt(beta)) / k) - np.sqrt(gamma / k)\n",
" alpha = alpha.clip(lower=0)\n",
" cs_spread = 2 * (np.exp(alpha) - 1) / (1 + np.exp(alpha)) # proportional round-trip spread\n",
" s_cs_series = 0.5 * cs_spread # one-way decimal per trade\n",
" s_cs_med = np.nanmedian(s_cs_series.values)\n",
"\n",
" # choose Roll if it works; otherwise fallback\n",
" use_roll = np.isfinite(s_roll_med) and (s_roll_med > 0)\n",
" if use_roll:\n",
" s_hat = float(s_roll_med)\n",
" method = \"Roll\"\n",
" s_chosen_series = s_roll_series\n",
" else:\n",
" s_hat = float(s_cs_med) if (USE_CS_FALLBACK and np.isfinite(s_cs_med)) else float(np.nan_to_num(s_roll_full, nan=0.0))\n",
" method = \"Corwin-Schultz fallback\" if (USE_CS_FALLBACK and np.isfinite(s_cs_med)) else \"Roll(full-sample fallback)\"\n",
" s_chosen_series = s_cs_series if (USE_CS_FALLBACK and np.isfinite(s_cs_med)) else s_roll_series\n",
"\n",
" avg_quote_vol = float(\n",
" ohlcv.loc[ohlcv[\"symbol\"] == sym, \"quote_volume\"].mean()\n",
" ) if \"quote_volume\" in ohlcv.columns else np.nan\n",
"\n",
" asset_rows.append({\n",
" \"symbol\": sym,\n",
" \"roll_cov_full_price_change\": cov_full,\n",
" \"roll_half_spread_price_full\": c_roll_price_full,\n",
" \"roll_slippage_decimal_full\": s_roll_full,\n",
" \"roll_slippage_decimal_median_rolling\": s_roll_med,\n",
" \"cs_slippage_decimal_median\": s_cs_med,\n",
" \"selected_slippage_decimal\": s_hat,\n",
" \"selected_slippage_bps\": 1e4 * s_hat,\n",
" \"selected_method\": method,\n",
" \"median_close\": float(np.nanmedian(close.values)),\n",
" \"avg_quote_volume\": avg_quote_vol,\n",
" })\n",
"\n",
" tmp = pd.DataFrame({\n",
" \"open_time\": close.index,\n",
" \"symbol\": sym,\n",
" \"roll_slippage_decimal\": s_roll_series.values,\n",
" \"cs_slippage_decimal\": s_cs_series.values,\n",
" \"selected_slippage_decimal\": s_chosen_series.values,\n",
" })\n",
" slippage_series_long.append(tmp)\n",
"\n",
"asset_summary = pd.DataFrame(asset_rows).sort_values(\"selected_slippage_bps\").reset_index(drop=True)\n",
"slippage_series = pd.concat(slippage_series_long, ignore_index=True).sort_values([\"symbol\", \"open_time\"]).reset_index(drop=True)\n",
"\n",
"asset_s = asset_summary.set_index(\"symbol\")[\"selected_slippage_decimal\"].reindex(symbols)\n",
"\n",
"# ----------------------------\n",
"# Step 2 — Build turnover and gross PnL per strategy\n",
"# Using the Part 4 turnover definition:\n",
"# turnover_t = Σ_i | θ_t^i - θ_{t-1}^i (1 + r_{t-1}^i) |\n",
"# ----------------------------\n",
"strategy_store = {}\n",
"all_trade_by_asset = pd.Series(0.0, index=symbols, dtype=float)\n",
"\n",
"for strat in strategies:\n",
" theta = (\n",
" pos_long.loc[pos_long[\"strategy\"] == strat, [\"open_time\", \"symbol\", \"theta_usdt\"]]\n",
" .pivot(index=\"open_time\", columns=\"symbol\", values=\"theta_usdt\")\n",
" .reindex(ret_wide.index)\n",
" .reindex(columns=symbols)\n",
" .fillna(0.0)\n",
" .astype(float)\n",
" )\n",
"\n",
" # drift previous positions forward by last bar return\n",
" drifted_prev = theta.shift(1) * (1.0 + ret_wide.shift(1).fillna(0.0))\n",
" trade_abs = (theta - drifted_prev).abs()\n",
" if len(trade_abs) > 0:\n",
" trade_abs.iloc[0] = theta.iloc[0].abs() # opening trade from cash\n",
"\n",
" gross_pnl = (theta * ret_wide.fillna(0.0)).sum(axis=1)\n",
" turnover_total = trade_abs.sum(axis=1)\n",
"\n",
" trade_by_asset = trade_abs.sum(axis=0).reindex(symbols).fillna(0.0)\n",
" all_trade_by_asset = all_trade_by_asset.add(trade_by_asset, fill_value=0.0)\n",
"\n",
" s_strategy_trade_weighted = weighted_mean(asset_s.values, trade_by_asset.values)\n",
"\n",
" strategy_store[strat] = {\n",
" \"theta\": theta,\n",
" \"trade_abs\": trade_abs,\n",
" \"gross_pnl\": gross_pnl,\n",
" \"turnover_total\": turnover_total,\n",
" \"trade_by_asset\": trade_by_asset,\n",
" \"s_trade_weighted\": s_strategy_trade_weighted,\n",
" }\n",
"\n",
"# ----------------------------\n",
"# Step 3 — Collapse asset-level estimates to a single scalar s\n",
"# This is the scalar to use in Part 4.\n",
"# Choice: turnover-weighted average across ALL trades from BOTH strategies.\n",
"# ----------------------------\n",
"s_base = weighted_mean(asset_s.values, all_trade_by_asset.values)\n",
"if not np.isfinite(s_base):\n",
" s_base = float(np.nanmedian(asset_s.values))\n",
"\n",
"scalar_rows = [{\n",
" \"scope\": \"global_all_strategies_turnover_weighted\",\n",
" \"s_decimal\": s_base,\n",
" \"s_bps\": 1e4 * s_base,\n",
"}]\n",
"for strat in strategies:\n",
" scalar_rows.append({\n",
" \"scope\": f\"{strat}_turnover_weighted\",\n",
" \"s_decimal\": strategy_store[strat][\"s_trade_weighted\"],\n",
" \"s_bps\": 1e4 * strategy_store[strat][\"s_trade_weighted\"],\n",
" })\n",
"scalar_rows.append({\n",
" \"scope\": \"cross_asset_median\",\n",
" \"s_decimal\": float(np.nanmedian(asset_s.values)),\n",
" \"s_bps\": 1e4 * float(np.nanmedian(asset_s.values)),\n",
"})\n",
"scalar_summary = pd.DataFrame(scalar_rows)\n",
"\n",
"# ----------------------------\n",
"# Step 4 — Strategy sensitivity to slippage\n",
"# Uses the single scalar s_base to stay compatible with Part 4.\n",
"# net_pnl_t(m) = gross_pnl_t - (m * s_base) * turnover_total_t\n",
"# ----------------------------\n",
"sensitivity_rows = []\n",
"sensitivity_ts_rows = []\n",
"\n",
"for strat in strategies:\n",
" gross_pnl = strategy_store[strat][\"gross_pnl\"]\n",
" turnover_total = strategy_store[strat][\"turnover_total\"]\n",
" s_trade_weighted = strategy_store[strat][\"s_trade_weighted\"]\n",
"\n",
" for mult in SENSITIVITY_MULTIPLIERS:\n",
" s_used = mult * s_base\n",
" cost_t = s_used * turnover_total\n",
" net_pnl_t = gross_pnl - cost_t\n",
"\n",
" sensitivity_rows.append({\n",
" \"strategy\": strat,\n",
" \"s_multiplier\": mult,\n",
" \"s_used_decimal\": s_used,\n",
" \"s_used_bps\": 1e4 * s_used,\n",
" \"gross_pnl_usdt\": float(gross_pnl.sum()),\n",
" \"cost_usdt\": float(cost_t.sum()),\n",
" \"net_pnl_usdt\": float(net_pnl_t.sum()),\n",
" \"total_turnover_usdt\": float(turnover_total.sum()),\n",
" \"avg_turnover_per_bar_usdt\": float(turnover_total.mean()),\n",
" \"strategy_trade_weighted_s_decimal\": s_trade_weighted,\n",
" \"strategy_trade_weighted_s_bps\": 1e4 * s_trade_weighted,\n",
" \"cost_as_pct_of_abs_gross_pnl\": (\n",
" 100.0 * float(cost_t.sum()) / max(abs(float(gross_pnl.sum())), 1e-12)\n",
" ),\n",
" })\n",
"\n",
" tmp = pd.DataFrame({\n",
" \"open_time\": gross_pnl.index,\n",
" \"strategy\": strat,\n",
" \"s_multiplier\": mult,\n",
" \"s_used_decimal\": s_used,\n",
" \"s_used_bps\": 1e4 * s_used,\n",
" \"gross_pnl_usdt\": gross_pnl.values,\n",
" \"turnover_usdt\": turnover_total.values,\n",
" \"cost_usdt\": cost_t.values,\n",
" \"net_pnl_usdt\": net_pnl_t.values,\n",
" \"cum_gross_pnl_usdt\": gross_pnl.cumsum().values,\n",
" \"cum_net_pnl_usdt\": net_pnl_t.cumsum().values,\n",
" })\n",
" sensitivity_ts_rows.append(tmp)\n",
"\n",
"sensitivity_summary = pd.DataFrame(sensitivity_rows).sort_values([\"strategy\", \"s_multiplier\"]).reset_index(drop=True)\n",
"sensitivity_ts = pd.concat(sensitivity_ts_rows, ignore_index=True)\n",
"\n",
"# ----------------------------\n",
"# Save outputs\n",
"# ----------------------------\n",
"asset_path = safe_save(asset_summary, f\"slippage_asset_summary_{INTERVAL}\")\n",
"scalar_path = safe_save(scalar_summary, f\"slippage_scalar_summary_{INTERVAL}\")\n",
"series_path = safe_save(slippage_series, f\"slippage_series_{INTERVAL}\")\n",
"sens_path = safe_save(sensitivity_summary, f\"slippage_sensitivity_summary_{INTERVAL}\")\n",
"sens_ts_path = safe_save(sensitivity_ts, f\"slippage_sensitivity_timeseries_{INTERVAL}\")\n",
"\n",
"# ----------------------------\n",
"# Display results\n",
"# ----------------------------\n",
"output_lines = [\n",
" f\"Loaded symbols: {', '.join(symbols)}\",\n",
" f\"Loaded strategies: {', '.join(strategies)}\",\n",
" f\"Rolling window used for robust slippage medians: {ROLL_WINDOW_BARS} bars\",\n",
" \"\",\n",
" \"Chosen scalar slippage for Part 4:\",\n",
" f\" s = {s_base:.8f} decimal per trade = {1e4 * s_base:.4f} bps one-way\",\n",
" \"\",\n",
" \"Saved:\",\n",
" f\" asset summary -> {asset_path}\",\n",
" f\" scalar summary -> {scalar_path}\",\n",
" f\" slippage series -> {series_path}\",\n",
" f\" sensitivity summary -> {sens_path}\",\n",
" f\" sensitivity ts -> {sens_ts_path}\",\n",
" \"\",\n",
" \"Asset-level slippage estimates:\",\n",
" \"Scalar s summaries:\",\n",
" \"Strategy sensitivity to slippage:\",\n",
"]\n",
"\n",
"print(\"\\n\".join(output_lines))\n",
"\n",
"display(asset_summary)\n",
"display(scalar_summary)\n",
"display(sensitivity_summary)\n",
"\n",
"# ----------------------------\n",
"# Short interpretation\n",
"# ----------------------------\n",
"base_rows = sensitivity_summary[sensitivity_summary[\"s_multiplier\"] == 1.0].copy()\n",
"if len(base_rows):\n",
" interpretation_lines = [\"Interpretation at 1.0x estimated slippage:\"]\n",
" print(\"Interpretation at 1.0x estimated slippage:\")\n",
" for _, row in base_rows.iterrows():\n",
" line = (\n",
" f\" {row['strategy']}: gross PnL = {row['gross_pnl_usdt']:.2f} USDT, \"\n",
" f\"cost drag = {row['cost_usdt']:.2f} USDT, \"\n",
" f\"net PnL = {row['net_pnl_usdt']:.2f} USDT, \"\n",
" f\"cost drag = {row['cost_as_pct_of_abs_gross_pnl']:.2f}% of |gross PnL|.\"\n",
" )\n",
" interpretation_lines.append(line)\n",
" print(line)\n",
" most_sensitive = base_rows.sort_values(\"cost_usdt\", ascending=False).iloc[0][\"strategy\"]\n",
" interpretation_lines.append(f\" More turnover-intensive strategy under this estimate: {most_sensitive}\")\n",
" print(f\" More turnover-intensive strategy under this estimate: {most_sensitive}\")\n",
" output_lines.extend([\"\"] + interpretation_lines)\n",
"\n",
"text_path = OUTDIR / f\"slippage_run_output_{INTERVAL}.txt\"\n",
"text_path.write_text(\"\\n\".join(output_lines), encoding=\"utf-8\")\n",
"\n",
"# ----------------------------\n",
"# Optional plots\n",
"# ----------------------------\n",
"if MAKE_PLOTS:\n",
" # Plot 1: rolling selected slippage by asset (in bps)\n",
" plt.figure(figsize=(12, 5))\n",
" for sym in symbols:\n",
" s = slippage_series.loc[slippage_series[\"symbol\"] == sym, [\"open_time\", \"selected_slippage_decimal\"]].dropna()\n",
" if len(s):\n",
" plt.plot(s[\"open_time\"], 1e4 * s[\"selected_slippage_decimal\"], linewidth=0.9, label=sym)\n",
" plt.title(\"Rolling selected slippage estimate by asset\")\n",
" plt.ylabel(\"One-way slippage (bps)\")\n",
" plt.xlabel(\"Time\")\n",
" plt.legend(ncol=min(3, len(symbols)))\n",
" plt.tight_layout()\n",
" plt.savefig(OUTDIR / f\"rolling_selected_slippage_by_asset_{INTERVAL}.png\", dpi=300, bbox_inches=\"tight\")\n",
" plt.show()\n",
"\n",
" # Plot 2: net PnL sensitivity curve\n",
" plt.figure(figsize=(10, 4))\n",
" for strat in strategies:\n",
" d = sensitivity_summary[sensitivity_summary[\"strategy\"] == strat]\n",
" plt.plot(d[\"s_used_bps\"], d[\"net_pnl_usdt\"], marker=\"o\", label=strat)\n",
" plt.title(\"Strategy sensitivity to slippage\")\n",
" plt.xlabel(\"Slippage used (bps, one-way)\")\n",
" plt.ylabel(\"Net PnL (USDT)\")\n",
" plt.legend()\n",
" plt.tight_layout()\n",
" plt.savefig(OUTDIR / f\"strategy_sensitivity_to_slippage_{INTERVAL}.png\", dpi=300, bbox_inches=\"tight\")\n",
" plt.show()\n",
"\n",
" # Plot 3: cumulative gross vs net at 1.0x s for each strategy\n",
" for strat in strategies:\n",
" d = sensitivity_ts[(sensitivity_ts[\"strategy\"] == strat) & (sensitivity_ts[\"s_multiplier\"] == 1.0)].copy()\n",
" if len(d):\n",
" plt.figure(figsize=(12, 4))\n",
" plt.plot(d[\"open_time\"], d[\"cum_gross_pnl_usdt\"], label=\"Gross cumulative PnL\")\n",
" plt.plot(d[\"open_time\"], d[\"cum_net_pnl_usdt\"], label=\"Net cumulative PnL @ 1.0x s\")\n",
" plt.title(f\"{strat}: gross vs net cumulative PnL under estimated slippage\")\n",
" plt.xlabel(\"Time\")\n",
" plt.ylabel(\"USDT\")\n",
" plt.legend()\n",
" plt.tight_layout()\n",
" plt.savefig(OUTDIR / f\"{strat}_gross_vs_net_cumulative_pnl_{INTERVAL}.png\", dpi=300, bbox_inches=\"tight\")\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "e2f574de-6fc4-496f-b0b9-9e1b305f0b7a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loaded strategies: mean_reversion, trend_following\n",
"Loaded symbols : ADAUSDT, BNBUSDT, BTCUSDT, DOGEUSDT, ETHUSDT, XRPUSDT\n",
"Bar interval : 1h\n",
"Initial capital : 10,000 USDT\n",
"Gross cap : 100,000 USDT\n",
"Slippage used : s = 0.00086777 decimal per trade = 8.6777 bps\n",
"Slippage source : in_memory_s_base\n",
"\n",
"Saved:\n",
" summary -> part4_performance/performance_summary_1h.csv\n",
" ts -> part4_performance/performance_timeseries_1h.csv\n",
" positions -> part4_performance/performance_effective_positions_1h.csv\n",
" holding -> part4_performance/performance_holding_asset_1h.csv\n",
" primary_summary -> part4_performance/performance_primary_mode_summary_1h.csv\n",
"\n",
"Primary-mode summary:\n"
]
},
{
"data": {
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"
\n",
" \n",
" \n",
" | \n",
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" exposure_mode | \n",
" net_total_pnl_usdt | \n",
" net_return_pct_on_initial | \n",
" total_cost_usdt | \n",
" total_turnover_usdt | \n",
" avg_holding_horizon_bars | \n",
" avg_holding_horizon_days | \n",
" sharpe_net | \n",
" sortino_net | \n",
" calmar_net | \n",
" max_drawdown_net_pct | \n",
" logic_description | \n",
"
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" \n",
" \n",
" \n",
" | 0 | \n",
" mean_reversion | \n",
" fixed_100k_cap | \n",
" -354508.910917 | \n",
" -3545.089109 | \n",
" 212658.244822 | \n",
" 2.450632e+08 | \n",
" 29.424209 | \n",
" 1.226009 | \n",
" -3.259885 | \n",
" -4.323125 | \n",
" -17.794337 | \n",
" 2486.005396 | \n",
" Use Part 2 notionals directly. Profits/losses ... | \n",
"
\n",
" \n",
" | 1 | \n",
" trend_following | \n",
" fixed_100k_cap | \n",
" 243432.379659 | \n",
" 2434.323797 | \n",
" 90420.643119 | \n",
" 1.041990e+08 | \n",
" 70.048393 | \n",
" 2.918683 | \n",
" -0.115591 | \n",
" -0.121665 | \n",
" 0.746271 | \n",
" 155.070006 | \n",
" Use Part 2 notionals directly. Profits/losses ... | \n",
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\n",
" \n",
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" strategy exposure_mode net_total_pnl_usdt \\\n",
"0 mean_reversion fixed_100k_cap -354508.910917 \n",
"1 trend_following fixed_100k_cap 243432.379659 \n",
"\n",
" net_return_pct_on_initial total_cost_usdt total_turnover_usdt \\\n",
"0 -3545.089109 212658.244822 2.450632e+08 \n",
"1 2434.323797 90420.643119 1.041990e+08 \n",
"\n",
" avg_holding_horizon_bars avg_holding_horizon_days sharpe_net \\\n",
"0 29.424209 1.226009 -3.259885 \n",
"1 70.048393 2.918683 -0.115591 \n",
"\n",
" sortino_net calmar_net max_drawdown_net_pct \\\n",
"0 -4.323125 -17.794337 2486.005396 \n",
"1 -0.121665 0.746271 155.070006 \n",
"\n",
" logic_description \n",
"0 Use Part 2 notionals directly. Profits/losses ... \n",
"1 Use Part 2 notionals directly. Profits/losses ... "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"All-mode summary:\n"
]
},
{
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" s_decimal | \n",
" s_bps | \n",
" initial_capital_usdt | \n",
" absolute_gross_cap_usdt | \n",
" gross_total_pnl_usdt | \n",
" net_total_pnl_usdt | \n",
" total_cost_usdt | \n",
" ... | \n",
" annualized_return_net | \n",
" sharpe_gross | \n",
" sharpe_net | \n",
" sortino_gross | \n",
" sortino_net | \n",
" calmar_gross | \n",
" calmar_net | \n",
" max_drawdown_gross_pct | \n",
" max_drawdown_net_pct | \n",
" first_nonpositive_net_equity_time | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" mean_reversion | \n",
" equity_protected_cap | \n",
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" 0.000868 | \n",
" 8.67769 | \n",
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" \n",
" | 1 | \n",
" mean_reversion | \n",
" fixed_100k_cap | \n",
" Use Part 2 notionals directly. Profits/losses ... | \n",
" 0.000868 | \n",
" 8.67769 | \n",
" 10000.0 | \n",
" 100000.0 | \n",
" -141850.666095 | \n",
" -354508.910917 | \n",
" 212658.244822 | \n",
" ... | \n",
" -442.368171 | \n",
" 1.755859 | \n",
" -3.259885 | \n",
" 10.915452 | \n",
" -4.323125 | \n",
" 17.565566 | \n",
" -17.794337 | \n",
" 771.009533 | \n",
" 2486.005396 | \n",
" 2022-01-14 06:00:00+00:00 | \n",
"
\n",
" \n",
" | 2 | \n",
" trend_following | \n",
" equity_protected_cap | \n",
" Scale Part 2 notionals each bar by min(1, 10 ×... | \n",
" 0.000868 | \n",
" 8.67769 | \n",
" 10000.0 | \n",
" 100000.0 | \n",
" -7429.318279 | \n",
" -10001.357797 | \n",
" 2572.039517 | \n",
" ... | \n",
" 8.163033 | \n",
" 0.108786 | \n",
" 0.944519 | \n",
" 0.163133 | \n",
" 1.390401 | \n",
" -0.303164 | \n",
" 8.162634 | \n",
" 91.069734 | \n",
" 100.004890 | \n",
" 2022-05-11 13:00:00+00:00 | \n",
"
\n",
" \n",
" | 3 | \n",
" trend_following | \n",
" fixed_100k_cap | \n",
" Use Part 2 notionals directly. Profits/losses ... | \n",
" 0.000868 | \n",
" 8.67769 | \n",
" 10000.0 | \n",
" 100000.0 | \n",
" 333853.022778 | \n",
" 243432.379659 | \n",
" 90420.643119 | \n",
" ... | \n",
" 1.157242 | \n",
" 0.741087 | \n",
" -0.115591 | \n",
" 2.299432 | \n",
" -0.121665 | \n",
" 1.123068 | \n",
" 0.746271 | \n",
" 117.500836 | \n",
" 155.070006 | \n",
" 2022-03-20 11:00:00+00:00 | \n",
"
\n",
" \n",
"
\n",
"
4 rows × 32 columns
\n",
"
"
],
"text/plain": [
" strategy exposure_mode \\\n",
"0 mean_reversion equity_protected_cap \n",
"1 mean_reversion fixed_100k_cap \n",
"2 trend_following equity_protected_cap \n",
"3 trend_following fixed_100k_cap \n",
"\n",
" logic_description s_decimal s_bps \\\n",
"0 Scale Part 2 notionals each bar by min(1, 10 ×... 0.000868 8.67769 \n",
"1 Use Part 2 notionals directly. Profits/losses ... 0.000868 8.67769 \n",
"2 Scale Part 2 notionals each bar by min(1, 10 ×... 0.000868 8.67769 \n",
"3 Use Part 2 notionals directly. Profits/losses ... 0.000868 8.67769 \n",
"\n",
" initial_capital_usdt absolute_gross_cap_usdt gross_total_pnl_usdt \\\n",
"0 10000.0 100000.0 -8650.393115 \n",
"1 10000.0 100000.0 -141850.666095 \n",
"2 10000.0 100000.0 -7429.318279 \n",
"3 10000.0 100000.0 333853.022778 \n",
"\n",
" net_total_pnl_usdt total_cost_usdt ... annualized_return_net \\\n",
"0 -10000.000000 1349.606885 ... -9.303405 \n",
"1 -354508.910917 212658.244822 ... -442.368171 \n",
"2 -10001.357797 2572.039517 ... 8.163033 \n",
"3 243432.379659 90420.643119 ... 1.157242 \n",
"\n",
" sharpe_gross sharpe_net sortino_gross sortino_net calmar_gross \\\n",
"0 -0.539214 -1.556084 -0.656696 -2.045301 -0.413827 \n",
"1 1.755859 -3.259885 10.915452 -4.323125 17.565566 \n",
"2 0.108786 0.944519 0.163133 1.390401 -0.303164 \n",
"3 0.741087 -0.115591 2.299432 -0.121665 1.123068 \n",
"\n",
" calmar_net max_drawdown_gross_pct max_drawdown_net_pct \\\n",
"0 -9.303405 91.572449 100.000000 \n",
"1 -17.794337 771.009533 2486.005396 \n",
"2 8.162634 91.069734 100.004890 \n",
"3 0.746271 117.500836 155.070006 \n",
"\n",
" first_nonpositive_net_equity_time \n",
"0 2022-10-29 08:00:00+00:00 \n",
"1 2022-01-14 06:00:00+00:00 \n",
"2 2022-05-11 13:00:00+00:00 \n",
"3 2022-03-20 11:00:00+00:00 \n",
"\n",
"[4 rows x 32 columns]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Asset-level holding horizon estimate:\n"
]
},
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" strategy | \n",
" exposure_mode | \n",
" symbol | \n",
" avg_abs_theta_usdt | \n",
" avg_turnover_per_bar_usdt | \n",
" approx_holding_horizon_bars | \n",
" approx_holding_horizon_days | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" mean_reversion | \n",
" equity_protected_cap | \n",
" ADAUSDT | \n",
" 75.683025 | \n",
" 8.132987 | \n",
" 18.611373 | \n",
" 0.775474 | \n",
"
\n",
" \n",
" | 1 | \n",
" mean_reversion | \n",
" equity_protected_cap | \n",
" BNBUSDT | \n",
" 66.759040 | \n",
" 6.870030 | \n",
" 19.434861 | \n",
" 0.809786 | \n",
"
\n",
" \n",
" | 2 | \n",
" mean_reversion | \n",
" equity_protected_cap | \n",
" BTCUSDT | \n",
" 111.819981 | \n",
" 7.794556 | \n",
" 28.691817 | \n",
" 1.195492 | \n",
"
\n",
" \n",
" | 3 | \n",
" mean_reversion | \n",
" equity_protected_cap | \n",
" DOGEUSDT | \n",
" 87.994929 | \n",
" 11.904134 | \n",
" 14.783927 | \n",
" 0.615997 | \n",
"
\n",
" \n",
" | 4 | \n",
" mean_reversion | \n",
" equity_protected_cap | \n",
" ETHUSDT | \n",
" 36.952964 | \n",
" 3.594169 | \n",
" 20.562728 | \n",
" 0.856780 | \n",
"
\n",
" \n",
" | 5 | \n",
" mean_reversion | \n",
" equity_protected_cap | \n",
" XRPUSDT | \n",
" 44.725725 | \n",
" 3.929920 | \n",
" 22.761646 | \n",
" 0.948402 | \n",
"
\n",
" \n",
" | 6 | \n",
" mean_reversion | \n",
" fixed_100k_cap | \n",
" ADAUSDT | \n",
" 17359.789812 | \n",
" 1199.684545 | \n",
" 28.940591 | \n",
" 1.205858 | \n",
"
\n",
" \n",
" | 7 | \n",
" mean_reversion | \n",
" fixed_100k_cap | \n",
" BNBUSDT | \n",
" 17115.319825 | \n",
" 1081.994613 | \n",
" 31.636608 | \n",
" 1.318192 | \n",
"
\n",
" \n",
" | 8 | \n",
" mean_reversion | \n",
" fixed_100k_cap | \n",
" BTCUSDT | \n",
" 11516.968283 | \n",
" 837.803599 | \n",
" 27.493241 | \n",
" 1.145552 | \n",
"
\n",
" \n",
" | 9 | \n",
" mean_reversion | \n",
" fixed_100k_cap | \n",
" DOGEUSDT | \n",
" 19673.147928 | \n",
" 1352.752166 | \n",
" 29.086108 | \n",
" 1.211921 | \n",
"
\n",
" \n",
" | 10 | \n",
" mean_reversion | \n",
" fixed_100k_cap | \n",
" ETHUSDT | \n",
" 13736.182495 | \n",
" 951.279447 | \n",
" 28.879385 | \n",
" 1.203308 | \n",
"
\n",
" \n",
" | 11 | \n",
" mean_reversion | \n",
" fixed_100k_cap | \n",
" XRPUSDT | \n",
" 18486.170536 | \n",
" 1230.025877 | \n",
" 30.058182 | \n",
" 1.252424 | \n",
"
\n",
" \n",
" | 12 | \n",
" trend_following | \n",
" equity_protected_cap | \n",
" ADAUSDT | \n",
" 361.987884 | \n",
" 21.467063 | \n",
" 33.724957 | \n",
" 1.405207 | \n",
"
\n",
" \n",
" | 13 | \n",
" trend_following | \n",
" equity_protected_cap | \n",
" BNBUSDT | \n",
" 38.746289 | \n",
" 4.511664 | \n",
" 17.176051 | \n",
" 0.715669 | \n",
"
\n",
" \n",
" | 14 | \n",
" trend_following | \n",
" equity_protected_cap | \n",
" BTCUSDT | \n",
" 8.626343 | \n",
" 2.027523 | \n",
" 8.509245 | \n",
" 0.354552 | \n",
"
\n",
" \n",
" | 15 | \n",
" trend_following | \n",
" equity_protected_cap | \n",
" DOGEUSDT | \n",
" 96.682329 | \n",
" 5.621325 | \n",
" 34.398411 | \n",
" 1.433267 | \n",
"
\n",
" \n",
" | 16 | \n",
" trend_following | \n",
" equity_protected_cap | \n",
" ETHUSDT | \n",
" 863.248609 | \n",
" 32.049555 | \n",
" 53.869615 | \n",
" 2.244567 | \n",
"
\n",
" \n",
" | 17 | \n",
" trend_following | \n",
" equity_protected_cap | \n",
" XRPUSDT | \n",
" 161.917556 | \n",
" 14.795500 | \n",
" 21.887405 | \n",
" 0.911975 | \n",
"
\n",
" \n",
" | 18 | \n",
" trend_following | \n",
" fixed_100k_cap | \n",
" ADAUSDT | \n",
" 25729.735106 | \n",
" 707.983259 | \n",
" 72.684586 | \n",
" 3.028524 | \n",
"
\n",
" \n",
" | 19 | \n",
" trend_following | \n",
" fixed_100k_cap | \n",
" BNBUSDT | \n",
" 6912.578837 | \n",
" 260.383554 | \n",
" 53.095357 | \n",
" 2.212307 | \n",
"
\n",
" \n",
" | 20 | \n",
" trend_following | \n",
" fixed_100k_cap | \n",
" BTCUSDT | \n",
" 4315.682336 | \n",
" 169.265535 | \n",
" 50.993043 | \n",
" 2.124710 | \n",
"
\n",
" \n",
" | 21 | \n",
" trend_following | \n",
" fixed_100k_cap | \n",
" DOGEUSDT | \n",
" 27888.163691 | \n",
" 748.485619 | \n",
" 74.518903 | \n",
" 3.104954 | \n",
"
\n",
" \n",
" | 22 | \n",
" trend_following | \n",
" fixed_100k_cap | \n",
" ETHUSDT | \n",
" 14814.876030 | \n",
" 451.670306 | \n",
" 65.600399 | \n",
" 2.733350 | \n",
"
\n",
" \n",
" | 23 | \n",
" trend_following | \n",
" fixed_100k_cap | \n",
" XRPUSDT | \n",
" 19423.604615 | \n",
" 491.245648 | \n",
" 79.078989 | \n",
" 3.294958 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" strategy exposure_mode symbol avg_abs_theta_usdt \\\n",
"0 mean_reversion equity_protected_cap ADAUSDT 75.683025 \n",
"1 mean_reversion equity_protected_cap BNBUSDT 66.759040 \n",
"2 mean_reversion equity_protected_cap BTCUSDT 111.819981 \n",
"3 mean_reversion equity_protected_cap DOGEUSDT 87.994929 \n",
"4 mean_reversion equity_protected_cap ETHUSDT 36.952964 \n",
"5 mean_reversion equity_protected_cap XRPUSDT 44.725725 \n",
"6 mean_reversion fixed_100k_cap ADAUSDT 17359.789812 \n",
"7 mean_reversion fixed_100k_cap BNBUSDT 17115.319825 \n",
"8 mean_reversion fixed_100k_cap BTCUSDT 11516.968283 \n",
"9 mean_reversion fixed_100k_cap DOGEUSDT 19673.147928 \n",
"10 mean_reversion fixed_100k_cap ETHUSDT 13736.182495 \n",
"11 mean_reversion fixed_100k_cap XRPUSDT 18486.170536 \n",
"12 trend_following equity_protected_cap ADAUSDT 361.987884 \n",
"13 trend_following equity_protected_cap BNBUSDT 38.746289 \n",
"14 trend_following equity_protected_cap BTCUSDT 8.626343 \n",
"15 trend_following equity_protected_cap DOGEUSDT 96.682329 \n",
"16 trend_following equity_protected_cap ETHUSDT 863.248609 \n",
"17 trend_following equity_protected_cap XRPUSDT 161.917556 \n",
"18 trend_following fixed_100k_cap ADAUSDT 25729.735106 \n",
"19 trend_following fixed_100k_cap BNBUSDT 6912.578837 \n",
"20 trend_following fixed_100k_cap BTCUSDT 4315.682336 \n",
"21 trend_following fixed_100k_cap DOGEUSDT 27888.163691 \n",
"22 trend_following fixed_100k_cap ETHUSDT 14814.876030 \n",
"23 trend_following fixed_100k_cap XRPUSDT 19423.604615 \n",
"\n",
" avg_turnover_per_bar_usdt approx_holding_horizon_bars \\\n",
"0 8.132987 18.611373 \n",
"1 6.870030 19.434861 \n",
"2 7.794556 28.691817 \n",
"3 11.904134 14.783927 \n",
"4 3.594169 20.562728 \n",
"5 3.929920 22.761646 \n",
"6 1199.684545 28.940591 \n",
"7 1081.994613 31.636608 \n",
"8 837.803599 27.493241 \n",
"9 1352.752166 29.086108 \n",
"10 951.279447 28.879385 \n",
"11 1230.025877 30.058182 \n",
"12 21.467063 33.724957 \n",
"13 4.511664 17.176051 \n",
"14 2.027523 8.509245 \n",
"15 5.621325 34.398411 \n",
"16 32.049555 53.869615 \n",
"17 14.795500 21.887405 \n",
"18 707.983259 72.684586 \n",
"19 260.383554 53.095357 \n",
"20 169.265535 50.993043 \n",
"21 748.485619 74.518903 \n",
"22 451.670306 65.600399 \n",
"23 491.245648 79.078989 \n",
"\n",
" approx_holding_horizon_days \n",
"0 0.775474 \n",
"1 0.809786 \n",
"2 1.195492 \n",
"3 0.615997 \n",
"4 0.856780 \n",
"5 0.948402 \n",
"6 1.205858 \n",
"7 1.318192 \n",
"8 1.145552 \n",
"9 1.211921 \n",
"10 1.203308 \n",
"11 1.252424 \n",
"12 1.405207 \n",
"13 0.715669 \n",
"14 0.354552 \n",
"15 1.433267 \n",
"16 2.244567 \n",
"17 0.911975 \n",
"18 3.028524 \n",
"19 2.212307 \n",
"20 2.124710 \n",
"21 3.104954 \n",
"22 2.733350 \n",
"23 3.294958 "
]
},
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"output_type": "display_data"
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{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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66bS7d++e4uzsrFdu7Lo///yz8vDhQ+XOnTtKcHCw4uPjo6hUKuXIkSM6jzmt14uiaL43GXnNf/PNNwqgPHv2TK/OUJ+GvjeKoigdOnRQ7OzslEuXLinTp0/Xez8w9XfEiRMnFED59NNPddp17NjR6OvSVMZeB4l1yd/LE509e1bn/eq3337T+72UqE2bNoqnp6f2OPH79/DhQ+X8+fNKvnz5lMqVK+u8v5hi9OjRCqCsX79ery7x5y4+Pl6JiYnRqXv69Kni4eGh8/pJ/P7Z2toqt27d0pYfOnRIAZTBgwfrXaNJkyZKiRIl0jVmIYTILLKUTwgh3kE9e/bU3jc3N6dSpUooikKPHj205S4uLhQrVkxn96jffvuNEiVKULx4cR49eqS9JS5NST5zxtbWVns/PDycR48eUbduXa5du0Z4eLjOeEqWLEnt2rW1x25ubnrXNlXdunV18qUoisK6deto3rw5iqLojDsgIIDw8HDt0qyWLVtiYWHBmjVrtOefOXOGc+fO6SxV+e2336hduzaurq46/TVq1IiEhAT+/vtvnTG1atUKNzc3nTIXFxdu3brFkSNHTH5sO3bsIDY2lkGDBuksW+nVqxdOTk4EBwfrtHdwcOCTTz7RHltZWVGlShW953XPnj1pzpYC2LJlC/nz59dJkGtjY0OvXr0Mtre2tqZbt246ZZs2bcLT01MnAbOlpaV2t6u9e/cCmufn+fPnqS7Lc3Fx4ezZs1y+fDnNsSfXrl074uLiWL9+vbZs27ZthIWF6XyfXVxcOHToEHfu3ElX/4n69u2rc1y7dm0eP35MREQEAOvXr0etVtO2bVud15GnpydFihQxOhMtLX/88QdqtZrRo0frLW9SqVQZ6hOgR48eOudXrVpV730j8f0ko7vOGZKe9xJTqFQq2rRpw6ZNm3R2WFuzZg358+fXJsDevn07YWFhdOjQQef7Y25uTtWqVU3+/nTv3h03Nzfy5ctHYGAgz58/Z9myZXqzcdJ6vbyKx48fY2FhkeZMu7TMmzcPZ2dnWrduzahRo+jUqRMffvihtt7U3xGbNm0CNInhk8vq5P5RUVEGN5NIzKcVFRWl89VY28T65M6cOUPdunXx8fFhx44duLq6pmts69atw9/fn48++kivLvHnztzcXJufUK1W8+TJE+3MLkNLjFu0aEH+/Pm1x1WqVKFq1ara5z+5xN9nQgiRHSQwJYQQ76CCBQvqHDs7O2NjY6O35MDZ2ZmnT59qjy9fvszZs2dxc3PTuRUtWhTQ5CFJtH//fho1aoS9vT0uLi64ublpcwyl/DCZcjyg+SM5+bVNVahQIZ3jhw8fEhYWxg8//KA37sSgSeK48+TJQ8OGDXXyh6xZswYLCwtatmyp8zxs2bJFr7/EPB3JnwdDYwIYNmwYDg4OVKlShSJFitC/f3/279+f6mO7fv06AMWKFdMpt7KyonDhwtr6RAUKFNALRGT0eU28vq+vr16ffn5+Btvnz59fL8n79evXKVKkiF7ApESJEtp6gE8//ZSiRYvy3nvvUaBAAbp3767NF5Zo3LhxhIWFUbRoUcqUKcOQIUM4depUmo/D39+f4sWL6wQg16xZQ548ebQfoAGmTZvGmTNn8PLyokqVKgQFBaUr4JLydZ34QTXx+b98+TKKolCkSBG919L58+f1Xkemunr1KmZmZnoJrV+VofcN0OT3SVme0deYIel5LzFVu3btiIqKYsOGDYBmGdWmTZto06aN9vWdGPBs0KCB3vdn27ZtJn9/Ro8ezfbt29m1axenTp3izp07dOrUSa9dWq+XnCBXrlzMmTOHU6dO4ezszJw5c3TqTf0dcf36dczMzPD19dU5P+V7W2aztbXVy3UFEB0dra1P/tVY2+TB0kTNmzfH0dGRrVu36i0VNMXVq1dTTdyeaNmyZZQtW1abV8/NzY3g4GCDPwtFihTRKytatKhe3kLQ/BPnVQLXQgjxKiTHlBBCvIMM7fRmbPe35DNp1Go1ZcqUYebMmQbbJn5AvXr1Kg0bNqR48eLMnDkTLy8vrKys2LRpE7NmzdJJEG7qtU2V8gND4rU++eQTvZxCicqWLau93759e7p168aJEycoV64cv/76Kw0bNtQJ2qnVaho3bszQoUMN9pf4IczYmEATiLl48SIbN25ky5YtrFu3jvnz5zN69GiDCdgzIjOf14ww9LhN5e7uzokTJ9i6dSubN29m8+bNLFmyhM6dO2sTl9epU4erV6/y559/sm3bNhYvXsysWbNYuHChzqxAQ9q1a8fEiRN59OgRjo6ObNiwgQ4dOmBhkfSnUdu2balduza///4727ZtY/r06UydOpX169fr5OgyJq3nX61Wo1Kp2Lx5s8G2rzq7JaOSJ/5OztjjMVSe/DVm7MOuseskl973ElNVq1YNHx8ffv31Vzp27Mhff/1FVFSUzoy5xL6XL1+Op6enXh/JXyupKVOmjE7ScWOy8uc1d+7cxMfH8+zZMxwdHV+pr61btwKagNmtW7dwcXHR1pn6OyK75M2bl9u3b+uV3717F4B8+fJp2yUvT9k2sV1yrVq1YtmyZaxcuZI+ffpk5rC1VqxYQdeuXWnRogVDhgzB3d0dc3NzJk+erM1dllFPnz41OR+WEEJkNglMCSGEMJmvry8nT56kYcOGqf5n9a+//iImJoYNGzbozALI6NKkV5G441NCQoJJHw5btGhBnz59tLNpLl26pLelu6+vL5GRkSb1l5rE3azatWtHbGwsLVu2ZOLEiYwYMcLgVu3e3t6AZpfA5Ft6x8bGEhIS8srjSYu3tzfnzp3T+8/6lStX0tXHqVOnUKvVOrOmEncFTHyMoJkJ1rx5c5o3b45arebTTz9l0aJFjBo1SjtLK1euXHTr1o1u3boRGRlJnTp1CAoKMikwNXbsWNatW4eHhwcRERG0b99er13evHn59NNP+fTTT3nw4AEVKlRg4sSJJgWm0uLr64uiKBQqVEgvmJlSemYy+Pr6olarOXfunF4y5ORcXV31dnOMjY01+GH8VSTO/El5rZQz/AxJz3tJemd7tG3blu+++46IiAjWrFmDj48P1apV09YnzuZxd3fP8p+trFa8eHFAsztf8kB8em3ZsoXFixczdOhQVq5cSZcuXTh06JA2SGfq7whvb2/UajVXr17VmSV18eLFDI/NFOXKlWP37t1ERETozGo6dOiQth6gdOnSWFhYcPToUdq2battFxsby4kTJ3TKEk2fPh0LCws+/fRTHB0dU93EwhBfX1+DO+Ylt3btWgoXLsz69et1nt+UG3YkMrTM+dKlSwaT9oeEhODv75+uMQshRGaRpXxCCCFM1rZtW27fvs2PP/6oVxcVFcXz58+BpP/8J/9Pf3h4OEuWLHk9A03G3NycVq1asW7dOoN/9KfcfcrFxYWAgAB+/fVXVq9ejZWVFS1atNBp07ZtWw4ePKidOZBcWFgY8fHxaY7r8ePHOsdWVlaULFkSRVGIi4szeE6jRo2wsrJizpw5Os/tTz/9RHh4eIZ3tLpx44Y2MJSagIAAbt++rV3+BJplLYZeD8Y0a9aMe/fu6Syji4+PZ+7cuTg4OFC3bl1A//kxMzPTfqBOXF6Tso2DgwN+fn4Gl9+kVKJECcqUKcOaNWtYs2YNefPm1e4+CZrZPCmXxri7u5MvXz6T+jdFy5YtMTc3Z+zYsXqzYhRF0Xl89vb2Ji9ba9GiBWZmZowbN05vRlHy6/j6+urlQ/vhhx9MmsmUHt7e3pibm+tdK3Ent9Sk573E3t5eL/iVmnbt2hETE8OyZcvYsmWLXrAhICAAJycnJk2aZPBnMuV7R05WvXp1AI4ePZrhPsLCwrQ7YE6aNInFixdz/PhxJk2apG1j6u+IxMBuyqWAKXc0zWytW7cmISGBH374QVsWExPDkiVLqFq1qnZGl7OzM40aNWLFihU8e/ZM23b58uVERkbq7OaYSKVS8cMPP9C6dWu6dOmi8z5pilatWnHy5El+//13vbrE17+hn4dDhw5x8OBBg33+8ccfOjPEDh8+zKFDh/QC6+Hh4Vy9epUaNWqka8xCCJFZZMaUEEIIk3Xq1Ilff/2Vvn37snv3bmrWrElCQgIXLlzg119/ZevWrVSqVIkmTZpoZ7v06dOHyMhIfvzxR9zd3TN9NoYppkyZwu7du6latSq9evWiZMmSPHnyhOPHj7Njxw6ePHmi075du3Z88sknzJ8/n4CAAJ2lKgBDhgxhw4YNvP/++3Tt2pWKFSvy/PlzTp8+zdq1awkNDU1zSUSTJk3w9PSkZs2aeHh4cP78eebNm0dgYKDRpTZubm6MGDGCsWPH0rRpUz744AMuXrzI/PnzqVy5sk6i8/To3Lkze/fuTXPJUJ8+fZg3bx4dOnTg888/J2/evKxcuVI7u8uUGSu9e/dm0aJFdO3alWPHjuHj48PatWvZv38/s2fP1j72nj178uTJExo0aECBAgW4fv06c+fOpVy5ctp8VCVLlqRevXpUrFiRXLlycfToUdauXcuAAQNMetzt2rVj9OjR2NjY0KNHD50ZXM+ePaNAgQK0bt0af39/HBwc2LFjB0eOHOHbb781qf+0+Pr6MmHCBEaMGEFoaCgtWrTA0dGRkJAQfv/9d3r37s1XX30FQMWKFVmzZg1ffPEFlStXxsHBgebNmxvs18/Pj5EjRzJ+/Hhq165Ny5Ytsba25siRI+TLl4/JkycDmue4b9++tGrVisaNG3Py5Em2bt2a6ct5nJ2dadOmDXPnzkWlUuHr68vGjRtNytGUnveSihUrsmDBAiZMmICfnx/u7u46OcNSqlChgva5iomJ0VnGB+Dk5MSCBQvo1KkTFSpUoH379ri5uXHjxg2Cg4OpWbMm8+bNy9iT8gquXLnChAkT9MrLly9vNDhduHBhSpcuzY4dO+jevXuGrvv555/z+PFjduzYgbm5OU2bNqVnz55MmDCBDz/8EH9/f5N/R5QrV44OHTowf/58wsPDqVGjBjt37kzX7Mvk/v77b23g8+HDhzx//lz7HNWpU0cbdK5atSpt2rRhxIgRPHjwAD8/P5YtW0ZoaCg//fSTTp8TJ06kRo0a1K1bl969e3Pr1i2+/fZbmjRpQtOmTQ2Ow8zMjBUrVtCiRQvatm3Lpk2bUn0NJjdkyBDWrl1LmzZt6N69OxUrVuTJkyds2LCBhQsX4u/vz/vvv8/69ev56KOPCAwMJCQkhIULF1KyZEmdRP6J/Pz8qFWrFv369SMmJobZs2eTO3duvWXoO3bsQFEUnUT2QgjxWr2u7f+EEEJkv+TbWifXpUsXxd7eXq993bp1lVKlSumUxcbGKlOnTlVKlSqlWFtbK66urkrFihWVsWPHKuHh4dp2GzZsUMqWLavY2NgoPj4+ytSpU5Wff/5ZAZSQkBBtO2Pbn9etW9folt/GAEr//v0N1t2/f1/p37+/4uXlpVhaWiqenp5Kw4YNlR9++EGvbUREhGJra6sAyooVKwz29+zZM2XEiBGKn5+fYmVlpeTJk0epUaOGMmPGDCU2NlZRlKQtu6dPn653/qJFi5Q6deoouXPnVqytrRVfX19lyJAhOs/hkiVL9J4vRVGUefPmKcWLF1csLS0VDw8PpV+/fsrTp0912hj63imK5nvt7e2t19bUPwmuXbumBAYGKra2toqbm5vy5ZdfKuvWrVMA5d9//03z+oqi+V5069ZNyZMnj2JlZaWUKVNGb1v6tWvXKk2aNFHc3d0VKysrpWDBgkqfPn2Uu3fvattMmDBBqVKliuLi4qLY2toqxYsXVyZOnKh9/tNy+fJlBVAAZd++fTp1MTExypAhQxR/f3/F0dFRsbe3V/z9/ZX58+en2a+xnzNj389169YptWrVUuzt7RV7e3ulePHiSv/+/ZWLFy9q20RGRiodO3ZUXFxcFEDve2jIzz//rJQvX177c1q3bl1l+/bt2vqEhARl2LBhSp48eRQ7OzslICBAuXLliuLt7a106dJFb9xHjhwx6XEaej95+PCh0qpVK8XOzk5xdXVV+vTpo5w5c0YBdL73iX0mZ+p7yb1795TAwEDF0dFRAbTvH7t371YAZffu3XrP0ciRIxVA8fPzM/o87t69WwkICFCcnZ0VGxsbxdfXV+nataty9OhRo+ckv+5vv/2Warv0vF68vb21r9mUtx49eqR6nZkzZyoODg7KixcvdMoNvQcnvnclfm/+/PNPBVC+/fZbnXYRERGKt7e34u/vr/25M/V3RFRUlDJw4EAld+7cir29vdK8eXPl5s2bCqCMGTMm1ceSUuJzaOiWsq+oqCjlq6++Ujw9PRVra2ulcuXKypYtWwz2+88//yg1atRQbGxsFDc3N6V///5KRESEwWsn//69ePFCqVu3ruLg4KDzvpiWx48fKwMGDFDy58+vWFlZKQUKFFC6dOmiPHr0SFEURVGr1cqkSZMUb29vxdraWilfvryyceNGvff15L97vv32W8XLy0uxtrZWateurZw8eVLvuu3atVNq1apl8jiFECKzqRTlNWVAFUIIIcRbafbs2QwePJhbt27pbE0uhMg5wsPDKVy4MNOmTaNHjx7ZPRyRhUJDQylUqBDTp0/Xzro05t69exQqVIjVq1fLjCkhRLaRHFNCCCGEMFlUVJTOcXR0NIsWLaJIkSISlBIiB3N2dmbo0KFMnz49w7sZirfP7NmzKVOmjASlhBDZSnJMCSGEyPHu3buXar2trS3Ozs6vaTTvtpYtW1KwYEHKlStHeHg4K1as4MKFC6xcuTK7hyaESMOwYcMYNmxYdg/DJAkJCWkmmHdwcMDBweE1jShjoqKi0ty4IFeuXFhZWb2mEemaMmVKtlxXCCGSk8CUEEKIHC9v3ryp1nfp0oWlS5e+nsG84wICAli8eDErV64kISGBkiVLsnr1ar3E0UII8Spu3rxJoUKFUm0zZswYgoKCXs+AMmjNmjV069Yt1Ta7d++mXr16r2dAQgiRA0mOKSGEEDnejh07Uq3Ply8fJUuWfE2jEUIIkdWio6PZt29fqm0KFy5M4cKFX9OIMubu3bucPXs21TYVK1bE1dX1NY1ICCFyHglMCSGEEEIIIYQQQohsIcnPhRBCCCGEEEIIIUS2kBxTOZharebOnTs4OjqiUqmyezhCCCGEEEIIIYQQaVIUhWfPnpEvXz7MzFKfEyWBqRzszp07eHl5ZfcwhBBCCCGEEEIIIdLt5s2bFChQINU2EpjKwRwdHQHNN9LJySmbRyOEEEIIIYQQQgiRtoiICLy8vLRxjdRIYCoHS1y+5+TkJIEpIYQQQgghhBBCvFFMSUskyc+FEEIIIYQQQgghRLaQwJQQQgghhBBCCCGEyBYSmBJCCCGEEEIIIYQQ2UJyTAkhhBBCCCGEEGlISEggLi4uu4chRI5gaWmJubl5pvQlgSkhhBBCCCGEEMIIRVG4d+8eYWFh2T0UIXIUFxcXPD09TUpwnhoJTAkhhBBCCCGEEEYkBqXc3d2xs7N75Q/hQrzpFEXhxYsXPHjwAIC8efO+Un8SmBJCCCGEEEIIIQxISEjQBqVy586d3cMRIsewtbUF4MGDB7i7u7/Ssj5Jfi6EEEIIIYQQQhiQmFPKzs4um0ciRM6T+HPxqrnXJDAlhBBCCCGEEEKkQpbvCaEvs34uJDAlhBBCCCGEEEIIIbKFBKaEEOkSHZdAp58O8f3uKwDsvfQQn+HBfPa//7J5ZEIIIYQQQgiRuerVq8egQYNyTD9vIwlMCSHSpfioLfxz+RHTt17EZ3gwXX4+DMBfJ+/gMzyYh89isnmEQgghhBBCCNDsKPj555/j5+eHjY0NHh4e1KxZkwULFvDixYvsHt5bac+ePahUKsLCwnTK169fz/jx47P02l27dkWlUqFSqbCyssLPz49x48YRHx9vch/ZEUCTXfmEECYJexFL41l/p9mu8sQdzOtYnvfL5nsNo8qYB8+isTY3x9nOMruHIoQQQgghRJa4du0aNWvWxMXFhUmTJlGmTBmsra05ffo0P/zwA/nz5+eDDz4weG5cXByWlvK3cmbKlSvXa7lO06ZNWbJkCTExMWzatIn+/ftjaWnJiBEjXsv1M0JmTAkh0hQeFUe5cduNzoaa17G8zvGAVTl3WV9kTDxVJu7Ef9y27B6KEEIIIYQQWebTTz/FwsKCo0eP0rZtW0qUKEHhwoX58MMPCQ4Opnnz5tq2KpWKBQsW8MEHH2Bvb8/EiRMBWLBgAb6+vlhZWVGsWDGWL1+uPUdRFIKCgihYsCDW1tbky5ePgQMHauvnz59PkSJFtDO1Wrdunep49+/fT7169bCzs8PV1ZWAgACePn0KgI+PD7Nnz9ZpX65cOYKCgnQew6JFi3j//fexs7OjRIkSHDx4kCtXrlCvXj3s7e2pUaMGV69e1Z7TtWtXWrRoodPvoEGDqFevntFxLl++nEqVKuHo6IinpycdO3bkwYMHAISGhlK/fn0AXF1dUalUdO3aFdCdifT1119TtWpVvb79/f0ZN26c9njx4sWUKFECGxsbihcvzvz581N7CgGwtrbG09MTb29v+vXrR6NGjdiwYYPO450xYwZ58+Yld+7c9O/f/5V31XtVEpgSQqTp4NXHOscXxjclqHlJAOZ/XIH3y+Zj08Da2TG0dLv5JGnK8u//3crGkQghhBBCiDeRoii8iI3PlpuiKCaN8fHjx2zbto3+/ftjb29vsE3KHdWCgoL46KOPOH36NN27d+f333/n888/58svv+TMmTP06dOHbt26sXv3bgDWrVvHrFmzWLRoEZcvX+aPP/6gTJkyABw9epSBAwcybtw4Ll68yJYtW6hTp47R8Z44cYKGDRtSsmRJDh48yL59+2jevDkJCQkmPd5E48ePp3Pnzpw4cYLixYvTsWNH+vTpw4gRIzh69CiKojBgwIB09ZlSXFwc48eP5+TJk/zxxx+EhoZqg09eXl6sW7cOgIsXL3L37l2+++47vT4+/vhjDh8+rBMkO3v2LKdOnaJjx44ArFy5ktGjRzNx4kTOnz/PpEmTGDVqFMuWLUvXeG1tbYmNjdUe7969m6tXr7J7926WLVvG0qVLWbp0aTqfhcwlS/mEeANVn7yTu+HRFMxlx+z25Sju6YidVdb9OPddcUx7f8cXdbGxNKdrzUJ0rVlIW14yn1OWXf9Vnb0TTuCcfXrlg9ec5KPyBbJhREIIIYQQ4k0VFZdAydFbs+Xa58YFmPR3/5UrV1AUhWLFiumU58mTh+joaAD69+/P1KlTtXUdO3akW7du2uMOHTrQtWtXPv30UwC++OIL/v33X2bMmEH9+vW5ceMGnp6eNGrUCEtLSwoWLEiVKlUAuHHjBvb29rz//vs4Ojri7e1N+fK6qyySmzZtGpUqVdKZEVSqVCkTnhFd3bp1o23btgAMGzaM6tWrM2rUKAICAgD4/PPPdR5jRnTv3l17v3DhwsyZM4fKlSsTGRmJg4ODdsmeu7s7Li4uBvsoVaoU/v7+rFq1ilGjRgGaQFTVqlXx8/MDYMyYMXz77be0bNkSgEKFCnHu3DkWLVpEly5d0hynoijs3LmTrVu38tlnn2nLXV1dmTdvHubm5hQvXpzAwEB27txJr169MvR8ZAaZMSXEG8ZneDB3wzW/TG48eUHL+Qf0fjHej4gm/EXmTMdMUOv+V8bP3SFT+n2dZm2/nN1DEEIIIYQQItsdPnyYEydOUKpUKWJidNN0VKpUSef4/Pnz1KxZU6esZs2anD9/HoA2bdoQFRVF4cKF6dWrF7///rs2yXbjxo3x9vamcOHCdOrUiZUrV6aabD1xxtSrKlu2rPa+h4cHgHYWV2JZdHQ0ERERGb7GsWPHaN68OQULFsTR0ZG6desCmmBcenz88cesWrUK0ASR/ve///Hxxx8D8Pz5c65evUqPHj1wcHDQ3iZMmKAzy8qQjRs34uDggI2NDe+99x7t2rXTWfJYqlQpzM3Ntcd58+bVLkXMLjJjSog3yOlb4UbrfIYH65X9M7Q+XrnsMnSt3RcekNfFhqaz/9GW/di5UipnwMdVC7LykOYN+eGzGNwcrVNtHxkTT4Jawdk2cxMrRsUmEPLouXYWV2E3ezhvuO3tsCjyu9ia1O9P+0IYv/EcbSoWoF1lLyr5vJ4EhkIIIYQQIuewtTTn3LiAbLu2Kfz8/FCpVFy8eFGnvHDhwpp+bPX//jW25M8YLy8vLl68yI4dO9i+fTuffvop06dPZ+/evTg6OnL8+HH27NnDtm3bGD16NEFBQRw5csTgLCJD40nOzMxMbxmjobxIyRO2Jy5VNFSmVqvT1W+i58+fExAQQEBAACtXrsTNzY0bN24QEBCgs1zOFB06dGDYsGEcP36cqKgobt68Sbt27QCIjIwE4Mcff9TLRZU8qGRI/fr1WbBgAVZWVuTLlw8LC92wT8qk9iqVSvt8ZBeZMSXEG6Lk6C00n6e/HC0107ZeTLtRCmEvYlm49yrdlh7RCUoBNC7pkeq5I5qV0N6vPHGHTl14VBwtvt/PuTua/078e+0xpcdsxX/sNqNJ1U2hViucuhVGTHzS+vPey4/SbM4/LD8Yys7z93kWbXx71JpTdhksVxQFn+HB2lt4VBzjN54D4Ldjt2i98KC27mjoE8JfxGmPH0XGEP4ijviE7H2DF0IIIYQQmU+lUmFnZZEtt5R5oYzJnTs3jRs3Zt68eTx//jxDj7NEiRLs379fp2z//v2ULFlSe2xra0vz5s2ZM2cOe/bs4eDBg5w+fRoACwsLGjVqxLRp0zh16hShoaHs2mX4b++yZcuyc+dOo2Nxc3Pj7t272uOIiAhCQkIy9LhS6xc0s7eMuXDhAo8fP2bKlCnUrl2b4sWL6802srKyAkgzP1aBAgWoW7cuK1euZOXKlTRu3Bh3d3dAM7MrX758XLt2DT8/P51boUKFUu3X3t4ePz8/ChYsqBeUyqnejFGKt46iKCgKmJmZ9sb6rtMkWNR9Y2tY3J1edQqzcO9V9lx8aPC85zHGAzLGtP/hXy7ce5ahcdoZ+Q+Ooij4j9Xsgtdszj9sGlib9j/8q62vPHEHoVMCM3TN9j/+y+GQJ5ibqbC2MKNF+fz8c/kRAKP+PKvTNo+DNY8iTQuCXXkQqXOcOH5DWi88qHNcaYImKFe2gDMbBtQy6XpCCCGEEEJkpvnz51OzZk0qVapEUFAQZcuWxczMjCNHjnDhwgUqVqyY6vlDhgyhbdu2lC9fnkaNGvHXX3+xfv16duzQ/K27dOlSEhISqFq1KnZ2dqxYsQJbW1u8vb3ZuHEj165do06dOri6urJp0ybUarVezqtEI0aMoEyZMnz66af07dsXKysrdu/eTZs2bciTJw8NGjRg6dKlNG/eHBcXF0aPHp3mzCFTNGjQgOnTp/PLL79QvXp1VqxYwZkzZ4zmwypYsCBWVlbMnTuXvn37cubMGcaPH6/TxtvbG5VKxcaNG2nWrBm2trY4OBhOh/Lxxx8zZswYYmNjmTVrlk7d2LFjGThwIM7OzjRt2pSYmBiOHj3K06dP+eKLL175safm4cOHegG6vHnzapdHZjaZMSWyxc8/zmZ+UC9G/X6akEcZi+C/SwqN2KRzfCqoCT91rUy1wrn5rr3+m+asdv4A7LqQ+lrhb/44zdQtF3TKjAWlTgU1SXOcxgKNKcffbM4/em0iXwbRpm25wJ8nbhMTn8D1x895+tzwlNg9Fx/gMzyYwyFPAE0urBexCaw6ZHxt98dVCxosfxARrXOsViv0Xn7MYNv0OJXK0kshhBBCCCGykq+vL//99x+NGjVixIgR+Pv7U6lSJebOnctXX32lF1BJqUWLFnz33XfMmDGDUqVKsWjRIpYsWUK9evUAcHFx4ccff6RmzZqULVuWHTt28Ndff5E7d25cXFxYv349DRo0oESJEixcuJD//e9/RhOaFy1alG3btnHy5EmqVKlC9erV+fPPP7UzfkaMGEHdunV5//33CQwMpEWLFvj6+r7ycxQQEMCoUaMYOnQolStX5tmzZ3Tu3Nloezc3N5YuXcpvv/1GyZIlmTJlCjNmzNBpkz9/fsaOHcvw4cPx8PBIdRfA1q1b8/jxY168eEGLFi106nr27MnixYtZsmQJZcqUoW7duixdujTNGVOZYdWqVZQvX17n9uOPP2bZ9VSKqftNigz5/vvvmT59Ovfu3cPf35+5c+dqdypIS0REBM7OzoSHh+PklHN3PMuQIGft3S8tRvLtN0OzcTA5W2RMPKXHJCU33/hZLUrnd9Zp88WvJ1h//LZOm/fnapb9XZzQFGsL3f8mXHsYSYNv92qPzVRwbXIgjyJjtLN9UjJ1RlOL7/dz4mYYdlbmnBvXFDCc/yqlvwbUSnOp4q4v61LYzQFFUfSCXabqXN2bXw5e1ykLLJuX7ztWACAuQU2RkZtN6stMBeo03kEzOhNMCCGEEEJkv+joaEJCQihUqBA2NjbZPRwhcpTUfj7SE8+QGVNZaM2aNXzxxReMGTOG48eP4+/vT0BAQLZnvM9pvo2fmN1DyNEu3NXdMSJlUApgZttybB1Uh8GNinJhfFOKeCRNFY2J1+Q5UqsVjoQ+ITougU4/HdY5X61ogkfGglLpMaFFaQCcbDRJ9eJSybO08bOkZW6m5M9q8O1eYuPVessajZnZ1p+To5Nmeq3pXY2qhXLrtQs+dRef4cFUHL/d5KBUybxOXJscyOWJ72nL5nYwvgWuEEIIIYQQQgh9kmMqC82cOZNevXrRrVs3ABYuXEhwcDA///wzw4cPz+bRZY+nz6I4M60RtV99OfA7Y8a2pATmFb1djbYr5ulIMU9HAJ2dJWJfBqYKf52+GUZXJzXDN53nANi8zDN1LyKaZ9FxlAkynpvJUJAtLUW/0Q0cfVQ+P7PalQP0Z2YV83TE2c6S0CmBxMarsbLQ7Loxq50/qw/f5NDLZYCJHqdYNujmaM2/IxoybcsFFv19TVtev5gbX79M9G5pbkbolEDiEtRYmpvx4FmMNkk6aL4XpiapFEIIIYQQQoh3jQSmskhsbCzHjh1jxIgR2jIzMzMaNWrEwYMHDZ4TExNDTExSYuaIiAiD7d4UB3/8HN/bGwBQoQAKboRJUCqd/r2WFDxZ2bNqKi2TqFSaROAx8WqiYhP47ejNdF3zdFATzM1UWFmYaQNbpnJztNbeTxmUyu9iy+2wKACdmUyvIjEoBfB+2bxsPJW0q4ZXLjvtfSsLzQRRlUrFR+UL8FH5AmkuMdzzVT3MzVSMaFaCW2FRBJ+6y4nRjXGxs9Jra2mu6b9HrUI6gam4BAUrCwlMCSGEEEIIIYQhspQvizx69IiEhAS9rPUeHh7cu3fP4DmTJ0/G2dlZe/Py8nodQ80y5jHhuPMEd57gxlPcCDPY7qaF9+sd2BvMxsiud4YkBmJqT9vNkLWn0nUdx5fL8Oa8TKz+TWAJk891trU0WF7Uw4GfulbCzdGaqa3K4GynaTe3Q3nyOduw/tMahE4JNJqTqVS+tPOszW5Xjskty9C6YgEmflRau5wwI6oWyoW9dVLs/vuOFQiZ3MxgUCo1EdFxGR6DEEIIIYQQQrztZMZUDjJixAidbR8jIiLe6OBUwQ9GcuVpT8zMzDA3M8PcTIU5aiwjbuL8TxDPLHOT6+kpIlRvWWL3TBITn4CFWVLseOwHhnewMOZZdHyq9at7V8PcTMWS/SF81748uy48oM/yY3zbxl/bpmlpT86MDcDB+tXeKt4vm5d5L5OLHxnZSKeuuX8+mvvn0ylrXbEAa4/d0ilb1bMaDjYWxKvVFPtmCwDr+lXXaWNhbkaHKgXpUMXw7numaljcnamty+qVm7okr0x+Z07f1uzIV2fabm0SeCGEEEIIIYQQuiQwlUXy5MmDubk59+/f1ym/f/8+np6eBs+xtrbG2traYN2byLNgEShYxEBNdajalpvbV5Brf3/i4mIkD08KCWpFG3xJ5JXL9pX6bFupAL8eTQr2VCusSQJe2ScXAAGlPA3OVnrVoBTANANBntTMaONPr9qFCZj9NwBda/hoZ1iZm5ln2U53y7pXwdPJRpurK6Pik23VZ2qidiGEEEIIIYR4F8lSvixiZWVFxYoV2blzp7ZMrVazc+dOqlevnsqZ7w4zC00QrhyXWH/4Whqt3y3hUfrLvxIDSAA8uwcH58PTUJP6y2VvxbTW/pwOasKQgGLsHVIvcwZqgk0Da2Nnlf7gVjFPR+3SvqB0zhYzlaud7lK/ukXdXjkoBaYtOxRCCCGEEEIIIYGpLPXFF1/w448/smzZMs6fP0+/fv14/vy5dpe+d525RVJQ4O5fY7NxJDmPoYTjiXmfmOYL3xaDrSPgO38IcobLO1Ltb/7HFbR99K/vh3du+4wPLjoC5teALV8nG/ALnSY1/XJr75fMwUGa5LP0lnStnGn9jnq/pPZ+AddXm+kmhBBCCCGEEG8zWcqXhdq1a8fDhw8ZPXo09+7do1y5cmzZskUvIfq7yswyKYn0AIs/uXT/GUU9Xn22ytsgJl6z/MvG0ozDIxtpkng/vgpn1sGLR/onrGwFY8LAyHLIXPbpS9htVOxzmPIy79mDs/Dv97r1H34P5T9habcq3HzygsJuDplz3Sxiluzpqu6b23jDdHK2tWRIQDGmb71I1UKZ168QQgghhBBCvG1kxlQWGzBgANevXycmJoZDhw5RtWrV7B5SzmGmu4zqpx0nsmccOVDijCkbS/OkneXmVoDdE42fNNZFM3vq5S3UpqO2yvdVA0SKoul3Ur7U2/3ZHy5tw9LcLMcHpQDMkgXy0rPjoSkszTV9K4qSRkshhBBCCCFEVlq6dCkuLi45ph+hSwJTItuk/Lged3YjA1YdZ8T6U9kynpwiOi6BxrM0Sb+tLV7+iJ7bkKG+uphvBcDc7BUTy985bnrbVW3g34Wvdr3X5JWfl1QkBr3UEpgSQgghhBDZoGvXrqhUKqZMmaJT/scff6R74ykfHx9mz56diaPL+Qw95nbt2nHp0qUsve6ePXtQqVTam4eHB61ateLaNdPzMr9pATQJTIlskxAfr3M802ohkWc2EXp0C89j4o2c9eqiYhOIzML+02vOzsv4DA/mzxO3+XDePoqPStqN735EjGa20q+ddE+qOwyGhUJQOFQfYLTv0qqQzBnkjw10j4PCoWpfzf3G42FUiuWFW4ZlznWzWPeahQBoUNw90/tODEwlSFxKCCGEEEJkExsbG6ZOncrTp0+zeyhvBVtbW9zdM/+zgyEXL17kzp07/Pbbb5w9e5bmzZuTkPB27vgtgSmRbewMZDhbajWd/1lNJPRhWJZcMzwqjhKjt1B6zFZ8hgcTl5CUZLzmlF34DA8m4OVspddl5nZNxP3z1Sc4eStcv8HdE7rHI+9B/a/B1lVz3GCU/jmWdgCUM7v66gNUp3jzC3o5xvemau7XHAjmljAkE671mvWoVYg/+tfUJofPTImzsWTGlBBCCCGEyC6NGjXC09OTyZMnp9pu37591K5dG1tbW7y8vBg4cCDPnz8HoF69ely/fp3BgwdrZ/EYExYWRp8+ffDw8MDGxobSpUuzceNGAIKCgihXrpxO+9mzZ+Pj46M97tq1Ky1atGDSpEl4eHjg4uLCuHHjiI+PZ8iQIeTKlYsCBQqwZMkS7TmJM4zCwsK0ZSdOnEClUhEaGmpwnFevXuXDDz/Ew8MDBwcHKleuzI4dSRtKGXvMyWciXbp0CZVKxYULF3T6njVrFr6+vtrjM2fO8N577+Hg4ICHhwedOnXi0SMDeYNTcHd3J2/evNSpU4fRo0dz7tw5rly5on28O3fupFKlStjZ2VGjRg0uXryYZp85lQSmRLYp5FvUaJ195I1Mv56iKPiP3aZTVmTkZnyGB+MzPJjbYVEAXLz/TFu2/dz9TB9Hul3ZqXtsmWKXN0sbqDNUt6zjrwAUMbtNRa907oqnVkPYTVj6PmwfA+NyJdVV7mX8PPs86btODmBmpqKcl0um55eCpMTqarUEpoQQQggh3iqKotkUKDtu6fynp7m5OZMmTWLu3LncunXLYJurV6/StGlTWrVqxalTp1izZg379u1jwADNyoz169dToEABxo0bx927d7l7967BftRqNe+99x779+9nxYoVnDt3jilTpmBunr6/tXft2sWdO3f4+++/mTlzJmPGjOH999/H1dWVQ4cO0bdvX/r06WP08ZgiMjKSZs2asXPnTv777z+aNm1K8+bNuXHjhsmPuWjRolSqVImVK1fqlK9cuZKOHTX5fsPCwmjQoAHly5fn6NGjbNmyhfv379O2bdt0jdfWVvMZMDY2Vls2cuRIvv32W44ePYqFhQXdu3dPV585iezKJ7KNKrcvtFvJzfP/4nVqrk5dbIpJOmq1gtkr5APafeEB3ZYeSfd5vX45CkDI5GbpXodtqsJ57Ln26Ln2eMcXdRn711n+ufwyir5rfFLjlj8a7qTBSCjdUpOLquZAiI7QVjlbpjLd88A8MDOHav2SyjYPhSMvrxP6j277wBmmPCQB2terzJgSQgghhHjLxL1Ie1OgrPL1HbCyT9cpH330EeXKlWPMmDH89NNPevWTJ0/m448/ZtCgQQAUKVKEOXPmULduXRYsWECuXLkwNzfH0dERT09Po9fZsWMHhw8f5vz58xQtqpmEULhw4XSNFSBXrlzMmTMHMzMzihUrxrRp03jx4gVff/01ACNGjGDKlCns27eP9u3bp7t/AH9/f/z9/bXH48eP5/fff2fDhg0MGDDA5Mf88ccfM2/ePMaP13xmu3TpEseOHWPFihUAzJs3j/LlyzNp0iTtOT///DNeXl5cunRJ+zyl5u7du8yYMYP8+fNTrFgxDhw4AMDEiROpW7cuAMOHDycwMJDo6GhsbGzS/4RkM5kxJbJXifd55llNrzghLlp732d4MIW/3kSXnw8T9iJWr60pUgal/hvVOF3nFxqxCZ/hwRm6dloszJMCXg7WFvi5OzCnfXmGNi3G8ZTjLJtKZN29BNQbpplRZZdbWzzqvaRppNr/sFw/qNllb9tI2DIc9n+X1OaIkeCXKep/k3Q/POP/wXgbaHNMqdNoKIQQQgghRBabOnUqy5Yt4/z583p1J0+eZOnSpTg4OGhvAQEBqNVqQkJMz1l74sQJChQoYFKwJTWlSpXCzCwpVOHh4UGZMmW0x+bm5uTOnZsHDx5k+BqRkZF89dVXlChRAhcXFxwcHDh//rx2xpSp2rdvT2hoKP/++y+gmS1VoUIFihcvDmie2927d+s8t4l1V6+mngqlQIEC2Nvbky9fPp4/f866deuwsrLS1pctW1Z7P2/evACv9JxkJ5kxJbKdp4uDXllcjCYw9c/lh9qyvZceUm7cdu2xm6M1z2PiOTs2INXZTIqBGSuu9lYcH9WYCuOT+nO0seBZdFJS9N51CvPD37o7Hxy69piqhXPzKh4+iyEqNoGCue20xwCrelWlhm8e7fg+LWcN8UmPnyYTTL+IuQWozEFJoJDzyx/zTUPh8CJwKQhhKd5wt4+GiLtQa7DxPoea8EupWj/Y/XKcs0ol5aPKaRJfE1k0Cw6SlvIZev0JkdKx609oteAgZiq4Njkwu4cjhBBCiNRY2mlmLmXXtTOgTp06BAQEMGLECLp27apTFxkZSZ8+fRg4cKDeeQULFjT5GonLzYwxMzPT+9s4Li5Or52lpaXOsUqlMlimVqu1/YLu392G+k3uq6++Yvv27cyYMQM/Pz9sbW1p3bq1zlI5U3h6etKgQQNWrVpFtWrVWLVqFf36Ja1GiYyMpHnz5kydOlXv3MRgkjH//PMPTk5OuLu74+joqFef/DlJ/Dyc+Jy8aSQwJbJdrrw+emX/O3CZF27+dPrpMNXMzlHD7Awz49sASYGExIDON3+cYeJHZfT6SPQsxQ58l9+/BjvHkavBKC5NeA9zMxXmZioURaHQiE0A1PDNzdfNSugFptr98C+hU0z/0Jg4y+rrZsVpV7kgVx48o9WCgwbb2lsl+3GMi4bZpVM0SOfuDxY2EPdcM9X43AZNUAr0g1KJDi3Q3Iyxy2W8LlFqvyijnsLaHvDeNMjjpyl7Gqr56uqTdt+ZRZ0Ac8qBhS0MOJxll0mcMSVL+d5NB64+ouOPh5jcsgwdqhQkIjoOO0tzQh49J7+rLYdDnhAdp6ZhCXcszc207wtqBW4+eYFXroz90SmEEEKI10ClSvdyupxgypQplCtXjmLFiumUV6hQgXPnzuHn52f0XCsrqzR3hCtbtiy3bt0yukTNzc2Ne/fuoSiKNpBy4sSJ9D8QA/2CZsmbq6urSf3u37+frl278tFHHwGaAFLKROmmPGbQLOcbOnQoHTp04Nq1azrLCytUqMC6devw8fHBwiJ94ZdChQppE62/7SQwJbKfgaDE84c3aP/Dv7gRxmorzQycgRZ/0DV2CHvU5XXarjx0I9XA1KOXASyA0C4KrHm53Oyfb7H65gGYWQOgevGEcqorXFXy0b6K5hpl8jtz+rburJ99lx9Rq0jaib7n7rysvT9p0wUmbbqQSmuwtky2sjYmQr9BkfQtP8TsZZLBuRncce6DubDhs3Re08jqYEWBqT6a+/MqamZSTfOFFy/zaA0+C84FMjZOU0U+ADMLiLiTFJx7eh1cvbPkctqlfBKXeufEJajp+OMhAEasP82I9afTdf6Vh5ESmBJCCCFEpitTpgwff/wxc+bM0SkfNmwY1apVY8CAAfTs2RN7e3vOnTvH9u3bmTdvHgA+Pj78/ffftG/fHmtra/Lk0f88VLduXerUqUOrVq2YOXMmfn5+XLhwAZVKRdOmTalXrx4PHz5k2rRptG7dmi1btrB582acnNK5WVMKfn5+eHl5ERQUxMSJE7l06RLffvttqucUKVKE9evX07x5c1QqFaNGjdKbbWTKYwZo2bIl/fr1o1+/ftSvX598+ZLyj/Xv358ff/yRDh06MHToUHLlysWVK1dYvXo1ixcvTndi+PRISEjQC9BZW1tTokSJLLtmRkmOKZEjzbGaxwDz3zli86lO+VKr6YTadCTUpiMfmB2gquo8Fb1dtfUHrz4mJFkicYAG3+7FV3Wb6RYLYc3Huhea4A47x8GFYJhemD+sR3PapifOtpppkX99Vourk5qx8bNa2lNGbzhj0mP4dvul9DxkrMyT/TgmGJhCasqMpeQMBbdMNeIWVOicsXNLt9J8tUv2xj3WRbdNkHNSUAo0y/6y0uUdMKMITCsEC2smlf+lP105s5i/XMsnS/lyBkVRuPIgMku/HwlqhRHrT1Nk5OZX6ufcnVf42RVCCCGESMW4ceP0AjBly5Zl7969XLp0idq1a1O+fHlGjx6tE2AZN24coaGh+Pr6amcoGbJu3ToqV65Mhw4dKFmyJEOHDtXOOipRogTz58/n+++/x9/fn8OHD/PVV1+98mOytLTkf//7HxcuXKBs2bJMnTqVCRNST4Myc+ZMXF1dqVGjBs2bNycgIIAKFXT/oW/qY3Z0dKR58+acPHmSjz/W/byZL18+9u/fT0JCAk2aNKFMmTIMGjQIFxcXnTxaWSEyMpLy5cvr3Jo3b56l18wolSKfmnKsiIgInJ2dCQ8Pf+Uoco4X5JzhU1vGBPHdkD78eeI2M7YZDgaF2nTMWOdfXQYHzRK6xGV53wSWoGfttHeXMJYsfXrrsrSp5KXXZt+w+hRwfTlL4vFVzUwnc2sYfEY7hnRJ6zn9+i6cWg0bB8Ow0KQZTZCUGyr5rCZT80XdPQmL6oBjPvjyvGljAU0wzFp/7XSGJMRD5L2kWVjLPoCQvYbbZlEerD9P3Obz1Seo4ZubVb30E/yL16voN5uJjdf8EfbfqMa42lulcUb6RMbEU3rM1jTb5Xex5XZYVJrt/uhfk3JeLpkwsiSKovDwWQzuTm/eTi1CCCFEdomOjiYkJIRChQq9kbudCZGVUvv5SE88Q2ZMiRxB8TS+FA+AEh8YrVpvHcSBq4+YteOy0TZ6TA1GzCgC/2m2+mxRzrQtYR88i9YJOHWt4cOHL89d8HEFbVAKoH6xpMi7lYWBGVPWDhkLSqXUbIbmMffYoTluMhGs7KBSd025rasmuXmZNtDlr6Tz2q0ABw9o/bPp10rMM/XsDsQ8g5sm5nGKfKCZuRbkrLndOQFPQuDFk9TPe3QFljTT7DSY6M9PNbOwQv7WHHuUNnxuFkpcynft4fM0WqZNURT2XnpIj6VHuPnkxSv39y5KDEoBlB+/ndO3Xj0g+SI2nuM3nuIzPNhgUGr4e8Xxfxlc2vVlXUKnBLJ/eANCpwTyTWDSFOovGuvnYGjx/f5XHl9K4zeep8qknSw/GMqJm2H8/t8t4mXbSCGEEEIIkc0kx5TIEVS9dmvy/lzdBZsMTOdst9zorJtD6uIkqDXLaAyxJ8XshI9+0HwdfA5mlUx7cH/2h5OrKal8xB94EpvKB7nouASqTNypU/ZBuXxUKOjK1FZlsbHUXUM8o40/K6b05XOL9YSFrgaf8vBtsmSEZrq7T2SYV9WXXyvD6KeGc0HZ5YJWi3XLvKvDlxfTt3td8kDa2u5weZvxtsOuw9SXOZ5S5sL6oW7Sfbfi0PJH8CyTNJan1+H+WVjdQXO8pKl+/8tMmKq6oBb025d2u3T666Rmp5Z7EdGv3NdXv51i3fFbAOy88ECbgP/p81jO3Amnpm8ezMxUPHgWzYYTd2hVoYDJM4LUaoWbT1/gYG1BbgfrVx7rm2LipnOs7l3daH1kTDwO1oZ/RarVCi/iEmg1/wAX7z/Tq78yUbOpgkqlom9dX4N99KxdmNthUfi5O/BxVW8+LJePz1ef4MTNMG2b5IlBM8PP+zU7a47686y2bPCak1ye+B6W5vJ/KiGEEEIIkT0kMCVyBnNLyO2rCWokBqYq94Qji6FyL81xvwOwoIbm/uinnPvlc0qG/kJVswt0+P0kYIYDL4jCms41fVmyPxSA1sWs4frL64wJSwpsOOfXJN1GpbmfEA/jcxseX+g/9OYfJrOCuHjjq18NzXJ4HKmZ/ZQyKAXgZGvJ5xbrAXBZ116vnsh7Rq+VLsnzU6V3LXN6PxjbJAsg6gWlVMDL56/FQrB1Ma3PhxdgUW2o/w3UHaJJpv5d2fSNy5j76UtMbaqafnnYdu5+pvSVGJRKFP4ijraLDhoMigBMCD7P1UnNtHmuEimKQmyCGmsLzWvxyfNYPl/9H/9cTsr3lZ5dJ3OiuAQ1n648TnFPR75sUsxou0eRxrcCbvDtHq49fE7XGj4EfaCb/yz00XPqzdhj8LyFn1SkaWlPk8c6pnlS39657VnWvQr+Y5N+Zl7EJmBvJDiWmYqM3MzpoCY42mRSIDwb3Hr6giOhTxi85qTBek8nG/79uuFrHpUQQgghhDCFBKZEzmLtqLvMLjDZbgoepXTqYs2TtmhtbHYUF9Vzplr+qCmoe4FR1W2IdfbBZmKyoEzKIEvyneDMk/041BkKDUbqzdKaabmAYbs/4/NGRQwO/8I9/UBBnaLGd/B7bbMUsnrHO1O0XgIW1rC6I/g2hHId0t/H7glw9wQ0HpexMfh3hJOr9MvVCUm7GCZSFBifB9Tx8N40qNJbN4l7sxlQpZfRSxXMrVnSWDp/2vnhbj55wcK9VzE3U/FNYEn+vfaYzj8bXwLpPy6VWWgv+X69iXJeLpy4GcY3gSWYEHxep/6zBn7M3XVF7zyf4cH82LkSjUt6pHmNnCgx8fj2c/eZv+cqVyc1M9juyoNIfIYHY2tpzvnxurPtEpdfLj0QqheYMhSUKubhyNbBdV557M62loRMbkahEZsACIuKy7TAVFpL9soEbePk6CY42+XM4FRsvFq73FmtVjB7GXT94e+rae54CpqZi1vO3NMGDhVF4XDIE9ydbPDJbZepM9OEEEIIIUT6SGBKvLESLGy1952TB6UAZhbHDMhwekL34gaLPzLfz+A43Z0Cz9+NwM7KHO/c9jrlZ8cGYG6m0s5OMcoxnyYf09us2xbNskCAQafBKX9S3UeL4Pc+0OoniA6D0q2TlvcZcmGj5pZcq5/ALjcsb6FbXuojOPt70vG13VCxKxxbqtvu4UXwSLGs8+YhTVAKYPNQ2DtVt37TV0mz+wYcgzx+EBWmCb5Z2mpzTIVHxdHxx395FBnDd+3LUyKvfqCq9rTd2vu/HLyuV59RicvCUgalAINBqUS9fjn6xs+cAs3y3gS1ojdzLLmouAR8hgez+fPalMjrxH83nurUJ+aLq1fMjfaVCxrs49c+xpcEppdKpSK3vRWPn8cS/iKO/C62aZ+Uii1n7tF3xTG98iXdKtNtyRGdsgV7rzL8PcPvfYacvRPOk+ex2qWkmUVRFObvucrl+8/448QdqhXOxb/X0sg1Z4K+K45xZeJ7PH0Rx/e7r7D0QKi2bknXytQvngn5/IQQQgghRLpJYEq8sRLMkz6wNTU7kkrLl1ovMb1z55cfQIdchQU1NQGKl7vTjbBYRY+lHkTFJRD0QSne++4fQDMDJdG01mWTZjqo1akvn7Nx1g1MBYXD1pFwcB54pJEU/k3Q/n9JQSkAlxQf7v3bQ9l26V8ymCi1RPa1BkObpUkz33rtgnMb9NstqK7bz4sn8HOAbpsXj41fZ15F3eNcvriUH0c+HnPzSR5uPtHkOUt8rQDMbleOFuXz8yoszVWUyufM0IBidFx86JX68splqx0nwLPouDdqadez6DjKBOnPJFt//BZtKnlR0duVY9efGjhTI/n3xpA9Fx+y5+JD7fG6ftVptUCTcN/JNnN/lSYmav/w+31cntiMY9ef4OFkQ62pmgCmu6M1h75uaHCWT2JQZ/rWi0b7r144N/WLuTP/4wp8uvK4ttwiWXDp+91XtH0MbVqMvnV8MTNTUXf6bq4/1k/An55AZnRcAksPhLLsQCh3w5NysPWpU5hFf1/Ta29qUCp4YC0ePouhXrGkANPjyBgqTtihPfZ7OaMupW5Lj2TJbo1CCCHeHmq1bBgiREqZ9XOhUhTFeMIcka3Ss73iu+jKxpn4HR1rWuP+h8HNeL4Zrcs74Mk1qNpbtzz2OUzS7Ky3I6E8PeOGpNrN7HblaFHWXbMUDKD2l1B9gGap4oyiEPUE2i4Hv0YwKa+mTeC3UO4TsLTRLC27d1qT7DvlEjNTJQZjzCxh9KPU22a2Zc2TdsQzdQfE5E6vhXU9dMvar9IsA0wpef97psCeyUnHw67r57GKj4WtIzT5y1Kq97Vm1ta/89M/ZiN8og0sHXzpn6H1OXsnnL4rjhttk1xlH00S/a9/P82cDuVxtbPSLgddsj+EsX+dA+D4qMZ8u+0iKw/d0J5bzMORtf2qo1bQyWPUqIQH3Wv6UMHblW3n7jPwf/8BMKC+H18FmPAz8xrFJaiZtf0SRTwc+Ki87vLUoA1ndWbAJCqR14nNn9em65LD7Ln4kOmty+Ln7oCLnRUnbj41mpMoNdNal6VtJS82nLyDl6st5Qu6ZvQhGZR8V8/Ceey59kh/Z8cCrrbsG9ZAp+x/h28wYn3aOdOmtCxD+yqaAPHVh5E0/Havtm5dvxocu/7EpOVxyfWsVYhv3teddfg8Jp5SyXYrLO7paHC586sqlMeerYPq6O5smszWs/fos1x/1lhKeRysOPpN48wenhBCiDecWq3m8uXLmJub4+bmhpWVlSwBF+88RVGIjY3l4cOHJCQkUKRIEcxSTMZITzxDAlM5mASmUqc+vBizTV/qV3RYDcXeg7+nw64J8PlJcPV59Qu+DPSMievCsoSAVJvO61ie9492hxsHTe+/127IXyHtdqZKDEx5VYMe+lvZZ6n4WAi7DnkM5+IySdgNzY55MeFgaQ8jk80qm5gX4l5A332a4F0iRYF7p+Dg95qd/Gp/Ybx/RdHNGWWMgwdEGklinrsIPL6c6umpBaYGNyrKrB2XdMpCJjfjUMgTui05wtgPSzF07Smd+vTMTImNV2NhpkrXMqvEoMi3bfxpVTHjucniE9RExsTjYpf2DJQZWy8yb/cVfuhUkYeRMahQUbeYm84ytpRL0lQqOPR1Q9wdNQt2O/zwLwevaWa1JV+mFlg2L993rEDNKbu4HRbFzLb+tKyQ9LgeRERTZZLuTpoAdlbmnBzTBDOVCt+vN2nLG5Vw58fOlbL0D9LkganUJH8tRMclUHzUFoPtZrXz53lMAt/8cQaAqa3K0C7ZssTWCw5wNJXZZKYKnRJIfILa6KwkQxKXLZrSN8D9iGhuPX2hna22okdVahUxnscPNH84/XXqrjbomlxhN3ttTjGAjZ/VonR+wzvAJheXoGbn+QeULeBMPhdbhq87xeojN9n5ZV183RzSPF8IIcSbJTY2lrt37/Lihf6sYSHeZXZ2duTNmxcrK/2/+dMTz5ClfOKNZWbsg2GRl0GjOkM0t0zyvFgr7C+uw5L4NNteffA8fUEp0OQmygoFq2VNv6mxsHq1oBRolvyNuGG4buRdw+UqFeT1h5Y/pN2/KYGFgtWh22bDAayy7TTXefEEphXSlPl3gJP/S7vflxb/o7ts6fDL5VnVCufm7NgAzMxUVCjoQqOZf5vcZ3LGZpCkprKPK0dCn2JrZU50XILB3SSNOXTtMfN2X+GbwJIEzNYd86aBtbn/LFonr1F+F1tuhyUtH+ydYlbLT10qUa+YOzvO39fLk6QoUGXiTtpX9mJKq7I0K+OpDUzVT7aUK/jUXea2V7TXCY+K0+nH3cmGMc1Lameb5Xex5fuPK1DOy0XbJnRKIGduh+OTxx6H17BLXmqSJ7JPLYB1eeJ7OpsrLNhzVed+8sBUHgfj7z1fNyuuN3tqcKOi2g0g+q04xuYzmt1DN5++S7+Vps3+Sx7AufowkiMhT6hcKBeeTjbaZdA3n7zAxc5SZ0mph5MNHk426QrQqlQqPvDPxwf++Riw6jgbTyW9f8xuV44P5iXtprrlzD2DgSlFUXSCkb1/OcruZEs7EzX8di//DK2PVy47k8cnhBAi57OysqJgwYLEx8eTkJCQ3cMRIkcwNzfHwsIiU/5hK4Ep8eayTJEU2L0U9Nmbej6nV2BupZmZYYXuB9uQyc24Ex5Nn+VHOXM7AnMS2LFzC5+nFmcKmKxZTqZzgUwOTPU7ABc2QY0Bmdvvu6TbZk0Aa0xYUnCq2QxNVKRsW82xXS746rJmVpVnmXQFpp7F6AY53Z2S0vUnznLyc3fUlr2OoEhkjOaPreS5h0wNArT74V8AvaAUQLM5+jmckgelDOmx7Gia11x95CYFc9sxbYvhnEqONhY612lgIMF1t5qF6FazUKrXMWUWTVbaO6Qe3rntufLgmcFk9sltH1xHb8dPS/OkPxhCU+SImvBRabacvadT9kf/mpTzckGtVvh+91VtQK9kXiedXUnndiivnSFlKCh1fpxmx8PImHhexMZTMJf+Dni+bg4GZxllRXBnXscKzGmvcDj0CVUL5UKlUmmDsQDzdl/RW8J64V4ETWdrXr/7hzcgIUExGJRKVHva7rdi8wAhhBC6VCoVlpaWWFq+OTk4hXhTSGBKvLl8k+VXqdIHmk3L0svZWGp+XFxUScs+xrcojUqlIr+LLV81KUa3JYe4atNJ98SWP8KxZXB9HwTOhMovcydV/zRpuR1oZhllJo9SmpvImA+/T5pVpVJpdt4Lv6H7ukvk4K65AXx2HOYmX5KpAEkfxEvmdeLc3Qi9LsZ+YPx7tfureiw7EMrgRkUz8EDS57yBsd188sJgkOBxZAxXHz7H0lyFT4pdKdOraSlPveCIIYaeP0NBqYEN/Jiz6woflsvH/w4nzbxLuXvmm2Db4Dracfu5OzKhRWntsryUmpbypIiHo175mdtJudi6VNfd9TLljKnkQRUzMxUnxzQBMDiDzsLc8D8Czo9riq1VUlvN/SyaFZpOZmaaWYmJfutbQ2f22albYZQt4ALArO2X+G5n0nLdmlN2mXSN+Xuu8Gk9P7r8fJi9lx4SPLAWpfJlb3BTCCGEECKnksCUeHM5esKQa5qZU1avYdnE6d8A6G0RTEiFEUxuqbtj3pUHkfzPaqL+ec5e0GUDPAmB3L66dQ1Hw85xmvvmshvUa2fvDs8fJB3XGKhZgligsiZHVXJ5/DS3tKT4HlsTRwya7+2EFqX5oFw+yhrYPa5LDR+jXRbKY09QKoGrrHb0+hO9wNT0rRf4fvdVI2do/NSlEsPWneZRZIzBen8vF9b0rqYNdryIjcfawhxzM5XRZWqVfFxZ3KUSkTHxNJmlPzMrMcjiYKP59bbi36SgVOOSHqmONycq6uFA0RSBpk+qefNJNW/CXsTiYG2hnbHUu05hvm5WwmA/158kzZLqX9+E17EBpi7r/G9UY52g1Jvmg3n7WdevBl6utjpBKUOq+ORiRc+qWFmYsfviA+1S1WlbLuoETAPn7JNZVEIIIYQQRmTNmqds4uPjg0ql0rlNmTJFp82pU6eoXbs2NjY2eHl5MW2a/iyb3377jeLFi2NjY0OZMmXYtGmTTr2iKIwePZq8efNia2tLo0aNuHxZ94/XJ0+e8PHHH+Pk5ISLiws9evQgMjIy8x/0u84+9+sJSoEm2fZLQR+U1KsOj4qjmpmBJTbmlpqd9fL46ec1qtAl2YHs7vHaqVK8BTYZDxU6g3sJ03JQGeOUX3s3F5pdyJxtLfmkmjdONvrTvyv7ZO6ubpnF8+XSwjth0TrlD5/FpBmU+qV7FRqW8GBKsgDusKbFCZ0SqL392b+mTrDDzsoC8xSJ2rcNrqNzbKZSkc/FlqIejnzRWH8GWWIQzM5K//8u288ZSWKfg/3Wt4bROhc7KyzMzQidEsjVSc2MBqUAFnxcUXs/+ZLRROfGBTChRWkuTmj6SuOd17E8rvZvXpD90NcNdY5bLThgMCl+Sq0rFtDmcqtX1C1LxiaEEEII8bZ7qwJTAOPGjePu3bva22effaati4iIoEmTJnh7e3Ps2DGmT59OUFAQP/yQlCj5wIEDdOjQgR49evDff//RokULWrRowZkzScsmpk2bxpw5c1i4cCGHDh3C3t6egIAAoqOTPrx9/PHHnD17lu3bt7Nx40b+/vtvevfu/XqeBJHlrLcNh23faHINbR4Of0+nUYkUszFy+4G9GxSoZLwjW1ewcQZrJ7DLbbydyBrJA1P90pmsPjX2SbuEHbTRvAf9/qnhAMO/IxqmGnzITo1KapYnLj0Qyv2IaHyGB+MzPJjKE3eket61Sc2o8/JDeqOSHvwztD5XJr5Hv3q+qZ6X3L5h9VnXrwZFPRzZN6y+trxn7aRcUAMbFtEGuVKyt9afsfMm7uzsbGtaHouUAb2UPJ1tuDLxPaOzduysLPikmjfWFumf6VT75a54h79uyPtl86X7/JzAw8mGYU2LG62v6K0bPK7s48qgRkV0dq5UqVQMf894H6ZsghwVm0DzufuYvDn1PGJCCCGEEG+Tty4w5ejoiKenp/Zmb5+UT2TlypXExsby888/U6pUKdq3b8/AgQOZOXOmts13331H06ZNGTJkCCVKlGD8+PFUqFCBefPmAZo/LGfPns0333zDhx9+SNmyZfnll1+4c+cOf/zxBwDnz59ny5YtLF68mKpVq1KrVi3mzp3L6tWruXPnDuIN5Z5sKdXhH+DAXE1C7EMLYNcE/H9KytuiNJ8Dnx2DIVdS79PMHL68pEmebS4ra187s2TPubvx2SbpplbrHI5+vySFjWwh7+msP3slJyiUx167DO7hsxiqGpk9Mv5Dzc/Fr32qA1A4j702cXsir1x2RnMRGVPA1U4bDCjgaqcNQBVwTX2G5Oj3NbMZ7Q3MmJrdrly6xvC2Se/3wFTLe1QldEqgwZlYb5LUAqfr+ukGjxuV8GBQo6J6AcG+dX0JnRLIwRH6uehSbnZgSPDpu5y+Hc6ivdfSbJvVwqPimL3jEo1n7mX/lUd888dpk4JrKZ27E8GKf69n6FwhhBBCvBveusDUlClTyJ07N+XLl2f69OnExyf9IXjw4EHq1KmDlVXSMoOAgAAuXrzI06dPtW0aNWqk02dAQAAHD2pmU4SEhHDv3j2dNs7OzlStWlXb5uDBg7i4uFCpUtJMmUaNGmFmZsahQ4cy/0GL16PmQJObqizS8QHN0kZzE9krM6fTlPxQ5zCt2Sw5SbMyngB81aQY7St7pdq2baUCdKruQ+iUQKoUykXolEB2fVXvNYxSX52ibrjaWdL25Zjtk+1gWDq/E4s7V6L5GzqbR2SPXi9n5/07oqFeXceqBVM9N6+zrV7ZumO30rzmV7+dNHF0mSNBrbDy0HVuPnnBpyuPMTH4HA+fxRAdl4D/2G3M3nGZyw8i+XjxIVb8e4NCIzbx7baL3HzyItV+L91/xp2wKBRFodmcf/jmjzMUGrGJIiM3cf3x81TPFUIIIcS7562aojFw4EAqVKhArly5OHDgACNGjODu3bvaGVH37t2jUCHdLcE9PDy0da6urty7d09blrzNvXv3tO2Sn2esjbu77pbkFhYW5MqVS9vGkJiYGGJikpIER0To744lspFPLdPbmss2sm8Ea/3dyzJFrUGwewIAh9TF9WYKWFmYERuvpoCr/ofX7DanfXmGBkThk8eexiU9CHn0nEMhT7T1J8c0od2ig8SrFaa19s/Gkepa1q0y8WoFy5ezgpIn357ZtpxeAnEhDPm6WXEmbboAwMjAkowMTMon+E1gCSYEa5bYORrIFZfS0W8a0XPZUU7cDAM0G2Sk1P6Hg/x77QkTPyrNsgOhOnUx8QkZWlppikeRMVSaYHhJ7o//hKR67txdV5i76wr7htU3OINx+7n79PrlKKC/A2RcgkLd6XskEbwQQgghdOT4wNTw4cOZOnVqqm3Onz9P8eLF+eKLL7RlZcuWxcrKij59+jB58mSsrXPGNtWpmTx5MmPHjs3uYQhjrIxsM19vBOyZrFv2NDTLhyMyQasfYW13zfcwM5lbcrrEF5Q5P5ObijsJKVawrO9Xg7m7LjMkwHg+muxiYW6GTx7Na93Kwow1faoTl6DmXng0TjaWONtasmVQnTR6ef1UKhWW5kkz0yySzVLLm0OXSxqz68u6fLv9EhNblM7uobxzetfxpWReZ4p66C+97Vm7MOULuuLuaNrfE3kcrPmjf03tDpOhKWYKnbsTwb/XNEHfkb+f0Tv/WXQ81g6ZH5iKT1AbDUqlx4j1p1neo6peeWJQCmDZwesGz30WHWdScE8IIYQQ74YcH5j68ssv6dq1a6ptChcubLC8atWqxMfHExoaSrFixfD09OT+fd1dmRKPPT09tV8NtUlen1iWN29enTblypXTtnnw4IFOH/Hx8Tx58kR7viEjRozQCa5FRETg5ZX6UhrxGtka2DnNpzbUG665rWoHl7ZoyneOhdpf6LcXOYtHKeifNctr1S9XSqtQ69WVzu/Mok6pJMXPYSzNzfDK9Zp2v8wkyZOGG9qhLycr7ObA9x0rZPcw3lm1iuQxWpcyCXp6tKnoxa2nL/jn8iNGrD+dZvs7YVGEPnqOSqXi6fNYKvvkwtlO87rO6GyqKw8iaTRzr8nte9cpzEfl82NpbkZeZxtKjdmqrfNzN5w3zxS/HLxO//p+GT5fCCGEEG+XHP/XupubG25uGduC+cSJE5iZmWmX1VWvXp2RI0cSFxeHpaXmj7vt27dTrFgxXF1dtW127tzJoEGDtP1s376d6tU1iX0LFSqEp6cnO3fu1AaiIiIiOHToEP369dP2ERYWxrFjx6hYUbNF965du1Cr1VStqv/fxUTW1tZvxMwuAbw3Haqm2GWxcq+kwNTHa1//mESO4umiCeSYo+bNyTD19vDObc+I94rj5mj9RuX4Em+fKj65OBz6hFWHbjBozYlU224YUJMP5u0H0H5NbuwHpShTwJmW8w8AGF0SFxuvpug3mwEo4u7A1NZltecYcnFCU8xVKvxGbtaWGer7VFATygZtAyC/S8aXIk/felECU0IIIYTQyvGBKVMdPHiQQ4cOUb9+fRwdHTl48CCDBw/mk08+0QadOnbsyNixY+nRowfDhg3jzJkzfPfdd8yaNUvbz+eff07dunX59ttvCQwMZPXq1Rw9epQffvgB0CwXGTRoEBMmTKBIkSIUKlSIUaNGkS9fPlq0aAFAiRIlaNq0Kb169WLhwoXExcUxYMAA2rdvT758knz3jdbvANw6ChU669c9vpx036OUfr14p3g4a5bDmSE7UWWXPnWN77ImxOtyOPSJzldjnGwsKFvAJdU2Yzac1Tk+dyeCkvmcdMruhEVRY8ou7fHlB5EGg1LbB9fhRWwCTraW2tlXaeV+crKx5KPy+fn9v9vcDY8GNAnUzc1U/HfjaaozK6e0LMNwE2aKCSGEEOLd89YEpqytrVm9ejVBQUHExMRQqFAhBg8erLM0ztnZmW3bttG/f38qVqxInjx5GD16NL17J818qVGjBqtWreKbb77h66+/pkiRIvzxxx+ULp2U62Po0KE8f/6c3r17ExYWRq1atdiyZQs2Nkl5TFauXMmAAQNo2LAhZmZmtGrVijlz5ryeJ0NkHY9SxoNOLx4n3VdlTcJa8QZRaZbymaGWxNtCCKPmf1yBQnnsKZHXKe3GKfx27CZj8un+TkoelDLm6qRmGZ5J+Pt/twH4aV8IVx5EsvfSwzTP+bJxUdpV9tIJTMUlqLWbFQghhBDi3aZSUm4XJXKMiIgInJ2dCQ8Px8kp/X+witfs1jFY3EBz/4sL4JQ39fbi7Xb4R9j0FbfyNqZAH1naKcS7KjH5eUoXxjcl5NFzvYBU8vZnxgZQOlleJ0N+6lKJhiU8uB0WhZ2lOeXHb9fWbRtchyaz/tZpHzK5GSpVxpe3Gns8qUmcifXBvH2cuhWuLd/xRd1XylUlhBBCiJwrPfGMt2bGlBDZLn8F8CwDVo7gaDzJvXhHmGlmzRVwlrxxQgh9Npbmac6ScrC2IGRyM9QK/H3pId2WHtFr02PZUQNnahT1cNQGhV7ExmfKRgBWFmbExutv6mDMwRENtPfbVCygE5hqNHNvmssHhRBCCPH2kznUQmQWlQr67oPumzX3xbvt5VI+FNM/wAkh3m67v6pH+8pe7PyyrtE2Q5sW0zlWqVSYm6moX9wdB2vTA0vTW5fVOc6s3SnHNC+ZrvZ5nZOSpHeoUlCv/mgaubeEEEII8faTwJQQQmSFxDxjEpgSQrxUKI89U1qVxdfN+PK1LtV9CCjlwQ+dKurV/dG/BoFl8rK2b3W6VPfG0cZ4sKlgKonIX4WdVeo5FP8b1dhonYW5GdUK59IpmxB8XudYURSuPowkQS2ZJoQQQoh3hSzlE0KIrJA4Y0qdkL3jEEK8UeytLVjUqZLBOj93R77/uAIAlXxyMfbD0sTEJ7Bo7zU6VfNm4Or/+OfyIwAqertmyfjMjMwIXty5Eo1KegCw8JOKfPHrCWa1K6fXblXPalx5GKnNfVXLLw8R0XEcC31Kdd/clBy9hcSYlKFlfs9j4tl+7j6PImPoUKUg9umYRSaEEEKInEl+mwshRFYwkxlTQghoXNKD7efuk9veKkv6t7YwZ2DDIgAs71E1S66RnLHd/CwtkibhNy3tSeOSAQbbmpmpdHYqnbf7CvN2XzHYZ4JaYf3xW+w8/4AtZ+/p1SfOtlrwcQXeK5OXiOg4HkRE4+cuO6EKIYQQbxIJTAkhRFaQHFNCCGBmW39+/+82TUu9HZtinLkdYbD8RUy8zrGxAFZ6BM75hwv3nqXZrt/K44ROCaRs0DYA6hdzY0m3Kq98fSGEEEK8HhKYEkKIrKANTMlSPiHeZY42lnSu7pPdw8g0C/deNVh+7dHzTL+WKUGpRD7Dg7X3d198SHRcAjaWqefDEkIIIUTOIMnPhRAiKygvk6TcPp694xBCiExUtoCz9n67Sl7a+7nSuVTxswZ+Gbq+raU5Yz8oRb96vvzRv6bRdsVHbeFwyLu945+iKDx9HovP8GDt7eTNMJPOVasVHkfGZO0AhRBCiJdkxpQQQmSF079pvsZGZu84hBAiE3nntufUrXAACuZO2vnPw8k6Xf0U8dDPA9W4pAd1iuRh1J9ndcr71C3MJ1W98UrnToNtFx00mED9bXTp/jO2n7tPp+rePIuOp+aUXQbbffj9fsp5uegF9cJfxDFn12XsrS3oXtOH3r8c43DoEzpV82Z8i9Kv4yEIIYR4h0lgSgghskLxQLi8NbtHIYQQmWpgAz/+OnkHgOQb9NUr6p6ufuwMLLP7sbNmN8LpWy8SEa3JWbWuX3Uqeucy2s+F8U2pOWUXEdFxxCUo6RrD2yI2Xq3d5XD61otptj9xM4zAOf8QPLA2ADWn7OJ2WJS2fs7Oy9r7y/+9zsjAEhQftUVbdvjrhrg72WTW8IUQQggJTAkhRJZwyqf5mtc/e8chhBCZqIiHIz1rFcLcTIW9VdKfkWbpTHZuZ60bmNowIGkGz/pPa9Jo5l7KFnBONSgFYGNpzrFRjQG4+jCSht/u1dZZZEIC9pxOURSafvd3mu1mtPHnq99Oao/P3okgKjaB9j8c1AlKGZI8KAVQZdJO7f2rk5rxIjYeRxvLdI5cCCGESCKBKSGEyAqJUwnUajj1GxSoCLkKZ6yvp6Hw3csAV6ffwbdBpgxRCCEy4pv3SwLw876QDPdhbZEUmKpeODdlC7hoj/3cHTgzNgB7q/QlL/d1c2DhJxXou0KT2y9erRCXoMbSPOemVI2N1+zcamWR/jHO23WZGdsuGa3/pFpBxn9YGtXL30eNS3jgP26btr500FYS1EmzzPK72KYZpErJ9+tNOsf/DK2f7iWXQgghRM79TS2EEG+0l4Gp+6dhfU+YUx6CnA03jY+FR5ch8oHh+u+Szbpa/lHmDlMIITIoeVAj/ZLO7VNXP2jvYG2hDaikR9PSeTkV1ER7vPuC/vtqvem78RkejPqVxv/qQh49p+g3myn6zWadXQVNEfYiNtWg1KaBtZnQoozOc+hsZ8mlCe9pj5N//xZ+UpH9w1P/p0ejEh5pjqv2tN1pthFCCCFSksCUEEJkBZWRt9cgZ83twfmksgluMK8SzCiiqVvSLKmdoWBW5EN4cCGp/vCP8PQ6PLoCwV9B2M2seUxCCJFM/CsEdqzMk2ZDVS2UOzOGo+VonbQg4OmLWJ267efuE/r4BQCFv95E2ItYNpy8g6K83iBV/5XHqT9jj07Z8n+vm3TuvF2X6bb0iF55ywr5AehS3ZuS+ZwMnmtoZlb7yl40Le0JwIHhDWhS0oPVvasxslkJbZuyBZxZ3KUSwQNrAbCqV1WTxpqWxN0Cj11/min9CSGEeDOplNf9m1iYLCIiAmdnZ8LDw3FyMvwHhhAih7q2B375MPU2I26BtaPxmVSvYkyYbmZiIYTIZDefvKD2tN34e7nwZ4pd3tISFZtAidFbsLU05/z4ppk+trJBW4mIjmdOh/LkcbAiIiqeviuOGW3foYoXk1uWzfRxGBIbr6boN5sN1oVMbmZ0ppiiKARtOMuyg7oBrCqFcrGmdzVUKhUx8Qk6yyQNiY5LoNNPhwgo5UkN3zxGg1ix8Wq+332F4p6OvFcmr1792Tvh7L30kL51fCmcbEnf5JZlGLH+NJ9UK8iEFmX0rt3uh385eztcL7D5ruygKIQQ74r0xDMkMJWDSWBKiDdYyN+wrHnqbRqNBVcf+K1L1ozh47Vg46JJwG5hBS+ewJMQTb6rRPfPwcZBUPJDqN4/a8YhhHhrhUfF4WBtgXkGEo1HxsRjYabCxsAOfa+qzrTd3HjywuT2nk42/Pt1w0wfhyHNvvuHc3cjtMcudpaEvYgDNEngE/NtHbz6mA4//gtAOS8XTtwMM9hfTgjo3A2PovrkXXrlh0c2xN1Rs4NfRHQcZYO26bVJdHnie3w4b7/2uTkV1AQnSaouhBBvrPTEMyT5uRBCZAkTPqRF3IYdY3TLvGvB9X2ZM4SVrY3XvTcdNg9JOr55CLZ+LTOthBDp4myb8cCBg3XW/RmaVlDK0dqCZzHx2uNc9lZ6bRRFQa3As+g4XOz06zNCURSdoFTL8vmZ3sZfm0R83F/nWNuvBg+fxWiDUoDRoFROkdfZ1mB5lYk7DZYbUmSk7iyyxCBWTgi8CSGEyFoSmBJCiCxhwmTUo0t0j7tshEK1NfmjNg6C2l/qBpfyV4JP1sL+76BwfVASknboS+9ywORBqeTGukCNgdBkfPr6E0KIHC6vsw13w6Op6ZeblT2rAXA09AmtFx7UCRYB3Hj8gjrTdRN5T2hRmk+qeb/SGB48i9E5ntmuHACONhY8i47n6MtcS5Un7ki1n/fL5mXjqbus61fjlcaTXY5904jQx8/ZfPoei9PY3fF5TDz2WRjEFEIIkf0k+bkQQmQFdYLh8gajkrWJ060rVFvz1b04dN8CRRpDtWTL624fBVtXaBQEhesmBaUAOv+ZdH9oCNi8Qt6qA3Myfq4QQuRALcvn5++h9QmdEqgNSgHYWiUtI0xMxL330kO9oBTAN3+cITrOyHt7GuIS1PRZfpSqkwzPIJr0UVIupm1n76Xa19q+1ZnXsQKhUwKp6O2aofFkp2uTmpHbwZqK3rn45v2SabaXxOhCCPH2k38/CCFEVlDU+mWDzoCLF+wyMBup1heG+2k6Cf79Pu3rFa4HQeFJx8NvwPFfQFHA3Ar822uW6MU+h0n5dM8t3QpKfQRrPkkqi3wADu5pX1cIIXK4P/vXxN/LxWCdVy47vbIuPx822tfDZzEGz0mNoih6y9QADo5I+ueCi13Sksjeyw0naf/APx9DAoql+/qvy5mxAZQes9Vg3c4v65LP2RZrCzPM0shHdnJME0IePafF9/sBMJPl5UII8daTwJQQQmSJFEv52q/SBKWMaTTGeF3ecnD3BHxoQoAquQqd9cus7DUBrNgXoI4HGydN8EqlgiHXYHphTbuD30Pjsem7Xk737D44emT3KIQQr8FvfauzaO9VRr9fioK5jQdy0kqunZjfyGd4MAD3I6KxNDfj+I2nNCzhnuYOeH+euM3nq08YrEuel6mGb55U+wGY1a5chpLMvy4O1hbs+aoewafv0r6yFxUnaJYjFnazx9fNwaQ+Ep/vcl4uVPJ25ej1pzyLjkvjLCGEEG86CUwJIURWCLuZdD9gMhRPJXlrkwmp99V7j2ZHPfvcmTI0AKySfVBL/G908v49dbf4fuPNKg3hL78nyWeWCSHeSpV9clHZJ9cr9XFtUjO9stYLD+och0xuhirFjB5FUWgy628uP4g02nfZArrLrY0FnBZ1qkif5cewszLP0UGpRD557Olf3w/QBJlexMZjZ5X6x436xdzYffEhAxv46ZQ7vUysHyGBKSGEeOtJYEoIIbJCdFjSfbNU/qNuSpBEpcrcoFRqClaHGwffvp35wpMFCoOcYVioJl9XVlnZBi5vg7LtoeWitNs/ugLzKkKdodBgZNaNSwih59y4AHr9cpT9Vx4D8EXjonzWwE8n4GRraU6UgfxSpcZsZcEnFank7YqFuYqPvj+gl0g90d9D6vMwMppfj9xi7IelTBpbQClPLoxviqX5m5kWNq2gFMCSblVQFEUvwJe4a2NkjOZ5T1ArzNx+kfrF3Kn0ikFHIYQQOYsEpoQQIis45k26r5iwQ19OEfUyyeza7ppbw9Ga3QHfFLHPYV5lKNYMAmcYb7fla/hoQdaN4bJmm3NOrdbcDMlTFFothrz+mqAUwN/ToFo/sJMPXUK8LnZWFjoJ0Q2JSzCQNxB4EZuQak6qRIlL1ArmtqOid/p+vm0sU18u+DZIGZQCsLLQBOMSn/u+K46x/dx9vt99Vft8CiGEeDu8Mf9+mThxIjVq1MDOzg4XFxeDbW7cuEFgYCB2dna4u7szZMgQ4uPjddrs2bOHChUqYG1tjZ+fH0uXLtXr5/vvv8fHxwcbGxuqVq3K4cO6f3BER0fTv39/cufOjYODA61ateL+/fvpHosQ4i2WPPm5oUToOdXDC7rHO8dBjPHlKDqehMCuifD8Mdw9CXungfo1P/ZJ+SDiNhz5EWamMiMhMvVdrzJkbXfNbKyUyeWNeXQJFtXRnJPcvVOZPzYhxCuJV6f/HwxbB9XhwPAGXJzQNF3nudqlnvfqXZE4Syw2Xk18gprt55L+1r50/1l2DUsIIUQWeGMCU7GxsbRp04Z+/foZrE9ISCAwMJDY2FgOHDjAsmXLWLp0KaNHj9a2CQkJITAwkPr163PixAkGDRpEz5492bo1aQeRNWvW8MUXXzBmzBiOHz+Ov78/AQEBPHjwQNtm8ODB/PXXX/z222/s3buXO3fu0LJly3SNRQjxlkttllTb5ZplZJ1+f33jeRU3D5nWbk45zYyf76toAi67J8I4V03g5eYRzXNy65gm8Xrsi6TzQv6B3/tpZhpllKLAxRS7XkXcMv59uLoLbh+HBAO5S56GwtoeEJ3GMsvocM3j+eVDzWM8sy5DQ9fz8GLm9COEyDTzP65gctufulQidEogxTwdyedim2aC9EQjm5WgdpE87BvWgMAyeZnWqmxGh/tWsDLXzKKKS1DT/od/depazj+QHUMSQgiRRVSK8iatMYGlS5cyaNAgwsLCdMo3b97M+++/z507d/Dw0Oy6tHDhQoYNG8bDhw+xsrJi2LBhBAcHc+bMGe157du3JywsjC1btgBQtWpVKleuzLx58wBQq9V4eXnx2WefMXz4cMLDw3Fzc2PVqlW0bt0agAsXLlCiRAkOHjxItWrVTBqLKSIiInB2diY8PBwnJ6dXet6EEK/Z46sw9+UHmaZTNMuzkkvcCS+nSTl7ByBgElTvr1v26DLMq6S5b2kH7VfC8o+M92vrmrRM0FSjnyTl57p9HH6sn1Q38h5YJu1oxem1sK6Hfh8df4WiAYYfV6JRj8E82cr2xLZmFjD6sX77kL81j//k/+DWEeP9fvov/NoZnj+CPn/r7sq4phOc32D83BG3wdq0XayEEK/Hb0dvMu6vc6zqVY1+K49x62kUAFcmvsftsCjqTt8DwI4v6uDn7piNI307jPvrHD/vDzFaL8v5hBAiZ0tPPOONmTGVloMHD1KmTBltIAggICCAiIgIzp49q23TqFEjnfMCAgI4eFCzw0psbCzHjh3TaWNmZkajRo20bY4dO0ZcXJxOm+LFi1OwYEFtG1PGIoR4y+X2TXZgIACVE4NSKVXupfkacUe3PD4mKSgFEPci9aAUpD8oBTAul2Z3w+O/6AalACZ6wsS8STOiDv9ouI8DczVf8/obv8743JoZVAAJyZZcqw0sv943G5Y1h+Av9INSVfpoktkn3txLwIAjMCxENygFULln0v2GBmbTTs5vfLxCiGzRppIXp8cGUKaAM8EDawNQ0y83FuZmeOe2Z+EnFRj3YSkJSmWS3/+7ld1DEEII8Zq8NcnP7927pxMIArTH9+7dS7VNREQEUVFRPH36lISEBINtLly4oO3DyspKL8+Vh4dHmtdJPhZDYmJiiImJ0R5HRBje1UUI8YZJLSiSU7mVSMp1dHAe3DoKN/9N/ZyURj+FmcUh8n7abY2ZXdp4XdwLGOuiCQIVrpc0vm8ewAR3zX0La81X+5fH78/SJD6Pj9Lta/lH4N9BMwsqucTZU3WGamZe7RhjeCwpZ12lpXBd+HgtWDmAd3UoUAWWvW/6+UKIbOVsa6k3Y6dp6bxGWouMiIyR3KxCCPGuyNYZU8OHD0elUqV6SwwIvQsmT56Ms7Oz9ubl5ZX2SUKInKv/YWi/ShN4eFNUfbnksOlk3dxS6QlKjXqkCRaZmWkCQYnMreGry1C2HVTtq7k/JixphtGH86H7NuixPX1jPvcnnP5Nc9/VJykYBZollQBXXvZpaQff3NNcb9Qj3X5SBqWS+3saLG5ouG7Y9fQFpRIVaZz02ihUG/qlyJkSH5v+PoUQ4i0xq105neO1fd+g36VCCCHSJVsDU19++SXnz59P9Va4cGGT+vL09NTbGS/x2NPTM9U2Tk5O2NrakidPHszNzQ22Sd5HbGysXo6rlG3SGoshI0aMIDw8XHu7efOmKQ9dCJFTuRWD4m9YDoymk2FYKPjW1+RFSsvwG1B/JHyR7J8I5sl2lCoeCANPaGYUjXoADu7Q8gd4b6rmfvIljeU/hoJVwauK8etV7gmF6uiW/doZnrwMQD0N1a17GqK7PO95smCUuSV8dSXtx5iSha0mf1Qim1TyV6WHRynd8WRk+WNqnl7XLEWMltm4Qoicr6K3q85xhYKu9KunWSZfvqBLNoxICCFEVsnWwJSbmxvFixdP9WZqovDq1atz+vRpnd3ztm/fjpOTEyVLltS22blzp85527dvp3p1zX9grKysqFixok4btVrNzp07tW0qVqyIpaWlTpuLFy9y48YNbRtTxmKItbU1Tk5OOjchhHitVCpNonLQLEEc/RQcXy5PsXbSLJNLFBSuCcrUHQpOeTVtgwzsZJerUPpnFFXsCm7F4eu7uuXx0dDlLxhqJCGujYvma5U+mq8VOsORxUn1Zdvptndwg48W6fczNETzWL55qF836JQmf1TvPZqgW2bmC3NwA+uXga6YTA4g/dREsxTx977w/LF+EE8IIXIQC7OkjyktK+THzEyFT247AHLZmfb5QAghxJvhjckxdePGDZ48ecKNGzdISEjgxIkTAPj5+eHg4ECTJk0oWbIknTp1Ytq0ady7d49vvvmG/v37Y22tWdbRt29f5s2bx9ChQ+nevTu7du3i119/JTg4WHudL774gi5dulCpUiWqVKnC7Nmzef78Od26dQPA2dmZHj168MUXX5ArVy6cnJz47LPPqF69OtWqVQMwaSxCCPFGMDODL1MsqTYUfEpsm1maf5d0v+8+WFhLc7/6AM1Xu1zQdz9sH5WUuBwgOkzz1Smf5uvzR7BlWFK9g5v+tfzba26GWFhpAm4n/6fJC+VcIKkuX/l0PSSTWTtCTDicWAWNjOS0yojIlzkOLwbD9Je/95pMhBoDMu8aQgiRSeLVau39Ep6af9aqXv4j4I3aUlwIIUSa3pjA1OjRo1m2bJn2uHx5zQeC3bt3U69ePczNzdm4cSP9+vWjevXq2Nvb06VLF8aNG6c9p1ChQgQHBzN48GC+++47ChQowOLFiwkICNC2adeuHQ8fPmT06NHcu3ePcuXKsWXLFp1k5rNmzcLMzIxWrVoRExNDQEAA8+fP19abMhYhhBAm8iyjyUUVHw2WtsnKS0On3zX3g1Isp7Oy13y9uCmprHC9jF3fzEyzzPB1iXi5E9W+mZrA1J3/NMno90zWJGAvWD3zZmltGwlWdlCpe+b0J4QQmcTD0UZ7v1tNHwDMXr73qRUJTQkhxNtEpSjyzp5TRURE4OzsTHh4uCzrE0KI1CQGpsp9DC3mw4n/wR99DbQzMtsrJ0keZDOzALWBnam6b9Pk40pLVBhM9U67nX8H+GihyUMUQojXIfFjSuJMqXXHbvHlbyepU9SNX7qnko9QCCFEtktPPCNbc0wJIYQQmar2l5qviTOmkvMs+3rHkhkMBaVAk/A9pbCb8Ed/TWAr8WYsKJW/ku7xyf/BraOvNlYhhMhkibt0J0pcMf73pYdM3/ru7NwthBBvOwlMCSGEePMNOg29dkFuzY5NeoEpaydo+8vrH1dWibwH6gTdsu+rwIkVaZ9bZyj02qlf/t/yzBmbEEJkkei4pLxT3+++yo3HL7JxNEIIITKLBKaEEEK8+VwKQv6KScdWDkn3O/2h2WUvV6HXPqxM0zVYk4T9vWlJZeNyJc2M+qkJxKXyAc2jTNJ9Fy/N15H3dNs4JUvs/vASbB4GZ/+AuOhXHr4QQmSGTad1d2qtM313No1ECCFEZnpjkp8LIYQQJjO3TLqfrzyYv8G/7obfAJuXeafKd4LNQ/Xb3DyUdL/lYijbRrd+3yy4f1pzP/a55qulrSbn1u99NUv5dk+AF481SeL/107T5tDLvFPvz4bSrWCKl/61K3bV3UVRCCGySEyyGVOJouMSsLE0z4bRCCGEyCwyY0oIIcTbxyJpNyeD+abeFA1GJQWlQLODXsqZTimVbqVfpkr2oW3LcN26e2eS7h9akBSUSm7jIMNBKYBjS+HB+dTHlNXUCZrbxsFJs8hmFIVzG/SXPAoh3li2VvoBqHm7rmTDSIQQQmSmN/hfyEIIIYQR7iWgVEtwLqA7e+pNU+cr/bLEmU4AcVEw0TOpbsStpOzAOpJtwJunqG5VmVZJs6kyan41wzsevngCof+AbwOwdnw55mi48x+c/wtuHYFbh2HgCc1Sy7hozZLEVe1AZQb3z0DLH2F1B825fo3gyg7N/dFPIPgLTWDMkMj78GunpOMxYZAsibIQ4s1TKI89ey891Cmbt/sKXwUUy6YRCSGEyAwSmBJCCPH2UamgzZLsHkXWs7SFr+/CwwuQv4Lxdhc2Jd2v9qluXfXPYEeQblmzGVC5J8REwJSCunUdf4WiAZr7Qclmc8XHgJkljHNN98NgTjnjdYlBKUgKSoEmx1Z6/D0D6g5J3zlCiBwlLkF/KR9AfIIaC3NZCCKEEG8qeQcXQggh3mRWdqkHpQC8KifdL/+Jbl3K/FtB4VCllya4Z+MM7f+nCWbZ5YHWPycFpQAGJVsGuGFgxoJSma3bZs1sqq91kySzewLEx4KiwKPLSUv+bh3NnnEKIdItn4utwfL7z2Je80iEEEJkJpkxJYQQQrztGo2F02uhTBvDSxvLtodTq6FCF/264s00t6aT9etckuWdOrVav77haDi2DMKuJ5UVqgONx0O+cprj5LOuAHxqQ8RteHItqeybh2BhBdtHw7k/4WloUl2NzzS5uCysdfuxstME2Sblh9hITdkEN/0xLm6o6aPJBP06IUSO0qNWIR4+i6FJSQ86Lk7a9CEu3vBMKiGEEG8GlaIoStrNRHaIiIjA2dmZ8PBwnJycsns4QgghXocdQZpd9AztrpeV4mP0gzumSBlYAvjmQcb6Si7sBti4gI2B33+/dYX7Z6Hvfk3AKjV3T8Gi2mlf7/OT4OqTgYEKIbKDz/Bg7f0dX9TBz90xG0cjhBAipfTEM2QpnxBCCJGTNArSJOp+nUEpePVAUqKR9zOnL5eChoNSAG2WwoAjaQelAPKWhaEhabf7zj9dwxNC5Bzxavk/uxBCvMkkMCWEEELkNG/i7nE1P4fhN8HSJrtHos8ul2ZZX4HKuuXFAnWP7/z3+sYkhHglh79uqL0fnyCBKSGEeJNJjikhhBBCZNzwm3DvNHjXyPkBte5b4f4ZWFQHumzUzMq6mLQciIubIV/57BufEMJk7k42FHC15dbTKKO79QkhhHgzyIwpIYQQQmScjRP41Mz5QSkAM3PI66+ZPVWoNrh6Q+NxSfV7p5rWj1oNt49DXLTmOOYZXNmp2fFPCPHaWJhp3ndkKZ8QQrzZZMaUEEIIId5dNT/X7PaX6MF5cC+RdBz5EGb4ae6PCdME4P7oC6fW6PflXgo+PZClwxVCJLEw1/yPXZbyCSHEm01mTAkhhBBCJJpfLen++j5JQSmAsS4wwdNwUArgwVnY8FmWDk8IkeTKg0gA7kVEZfNIhBBCvAoJTAkhhBDi3Tb4nO5xkLPmdmq1ftv4ND4AH/8l88YlhDDJyN/PZPcQhBBCvAIJTAkhhBDi3eacHyr3yti5nx2HQad1y4KcNV93jtfcf/741cYnhEiVg7VkJxFCiDeZBKaEEEIIIQJnGK+zy2O4vMVCyO2r2d3vmwe6dUHO8M/LPhdUz5wxCiF0FMpjD0DXmj7ZOxAhhBCvRAJTQgghhBAA1k6Gy4de1T32baDZza9su6QyC2vj/Ubef/WxCSH0lPdyAZJ25xNCCPFmksCUEEIIIQSAe8mk+/2PQINRMMrAMrwqvTW7+Zml+DNq2HWoPiBrxyiE0DJ/GZBKUGfzQIQQQrwSCUwJIYQQQgB0DQbvWtD2F3ArCnW+AnMDuWuKNjV8vq0LBEyEUY/06+KiM3WoQgiwME8MTElkSgjx9jh3JwKf4cG0XXiQZ9Fx2T2c10IyBQohhBBCgCYI1S3YcN3np+C7slD8fVClsWzI3FK/7NZhKFQn9fMUBQ4tAs/S4FPLtDEL8Q5LnDEVr1ayeSTiXeH39Sbi1QrLe1ShdhG37B6OeMu0XXiQw6FPtMeHQ58Q8ug5ZQu4ZN+gXhOZMSWEEEIIkRZXbwgKh/YrTWs/5Bp4lkk6Pr8x7XOu7YEtw2BpYIaGKMS7xuLlctoECUyJLHA7LIqZ2y/x54nb+AwPxmd4sDYI2umnw9k8OvEm+uHvq/gMD2bdsVt6dYqi6ASlEpXJ7/w6hpbt3pjA1MSJE6lRowZ2dna4uLgYbKNSqfRuq1ev1mmzZ88eKlSogLW1NX5+fixdulSvn++//x4fHx9sbGyoWrUqhw/rvvFER0fTv39/cufOjYODA61ateL+fd3Epjdu3CAwMBA7Ozvc3d0ZMmQI8fHxr/QcCCGEEOINYZ8b+vyTdHzjYNrnLG+RZcMR4m0kM6ZEVnkWHUfNKbuYs/Myn68+kd3DEW+B+AQ1kzZdAODL306y7ew9ouMStEHPQiM26bQf36I0oVMCUaU1S/st8cYs5YuNjaVNmzZUr16dn376yWi7JUuW0LRpUu6H5EGskJAQAgMD6du3LytXrmTnzp307NmTvHnzEhAQAMCaNWv44osvWLhwIVWrVmX27NkEBARw8eJF3N3dARg8eDDBwcH89ttvODs7M2DAAFq2bMn+/fsBSEhIIDAwEE9PTw4cOMDdu3fp3LkzlpaWTJo0KQueHSGEEELkOMn/mKzSW7fuSQjMKZd0bJZi+Z86AczMs2xoQrwNEnfjO3M7nAS1og1UCfEqFEWhxpRdabZ78jyWXPZWr2FE4k0XHZdA8VFbdMp6Lz9msG0lb1fW9qvxOoaVo6gURXmj/sWwdOlSBg0aRFhYmF6dSqXi999/p0WLFgbPHTZsGMHBwZw5c0Zb1r59e8LCwtiyRfNCqVq1KpUrV2bevHkAqNVqvLy8+Oyzzxg+fDjh4eG4ubmxatUqWrduDcCFCxcoUaIEBw8epFq1amzevJn333+fO3fu4OHhAcDChQsZNmwYDx8+xMrKtDewiIgInJ2dCQ8Px8nJyBbWQgghhMi5ln8EV3dBvRFQoDLcPATR4XBoYernDbuuSaYuhDCq9y9H2XYuadXC1UnNJDglXsn9iGiqTtppsM7d0ZoHz2J0yr7vWIHAsnlfx9C0Rv95hl/+396dh0VVtmEAv2fYERlAdkXFFbdEURFCcyExK6PU0jSXUHMrTS13XMtd07LMzKXSNKtPTc0itdwQFXEjwV1zAReEQVQE5nx/HJmZAzMwwzYM3L/rmouzvOecZ+ZwEB7f93mjrwEAdrwfgqaVZKiXOUl7lIWYK/fRoaE7Bn93HPvP3zX42N1j2sHPs2L87W9MPsNsekwZauTIkRg8eDDq1KmDYcOGYdCgQerub9HR0QgNDZW0DwsLw5gxYwCIvbJiY2MxadIk9X65XI7Q0FBER4td8GNjY5GVlSU5j5+fH2rWrKlOTEVHR6NZs2bqpFTudYYPH474+Hi0aNFCZ+yZmZnIzNT8sFMqlcX7MIiIiMi0Lj37X/e/5xp3XKaSiSmiQvx7W/q78g9HrmFAcG3TBEPlmiAI+P1sEh5mZqOznzuqOdjka5OjEvIlpf75qAMcbCxRxcYStlYWyFEJqDtZM+Rq5MYTePm5wusCCoKAbJUAK4uiV9LJyMxG0Nw9UD7RlId55fODuDK3W6UZ7lWeXbyTjvhbSjzMzMaU/53V225xr+YIqltN0ivv31lhsLeucKkZo1Sodz9r1ix06tQJ9vb2+PPPPzFixAg8fPgQH3zwAQAgKSlJkiwCAA8PDyiVSjx+/BgPHjxATk6OzjYJCQnqc1hbW+erc+Xh4YGkpKQCr5O7T5+5c+di5syZxr9xIiIiMn8jjwIr2ojLnz0rnF4zCPAJBFr0A1zrl+z1BAG4mwi4NQSepAI2CuBZMWlkPRb3JZ0G/PtpthOVI3l7R8Vee8DEFOHUf6lISFLiabYK07bF62wzO7wp3mlbS7Jtwi+nJevRkzrBS2En2WZMj7x/bykxa0c8jlyWFrSOmdwZ7lVtCk0mZWbnYOh3sfinkN42vpN2YdvI59Hcx8ng2Kj4BEGA/6wopD3OMqh98xoKbBulmXH3m/6tMOS74wBQ6ZNSgIkTUxMnTsT8+fMLbHPu3Dn4+fkZdL5p06apl1u0aIGMjAwsXLhQnZgq7yZNmoSxY8eq15VKJXx8fEwYEREREZWJoFFigiiv69Hi69BnwDv/A7xbAvNrAV3mAMHvF+1al/aKQwx1sXMGPvwX+FRraMr2Z9fpOg9oO7xo1yQqBXkLkmw/dQvL++gemUAVnyAIeOfbozh48V6hbadtPYv67g7IzFahZU0nzNlxDj9rzZRW0LDQZtUVOHMzTb3+ffRVvNaiOhxtrfL1qNIlt1fWiWkvqmtU5agEXLzzEP+Lu4meAdVx8r80jN9ySu85YqeGImDOX+r111YcwvGpoXDV0RPM1FQqAXH/paKFjxPkBib2clQCBEGAZTF6mJW2pVHnDU5KHZ8aimp56pG92NgDCbO7wsay/L7HsmTSxNS4ceMwcODAAtvUqVOnyOcPDAzE7NmzkZmZCRsbG3h6euabPS85ORmOjo6ws7ODhYUFLCwsdLbx9PQEAHh6euLp06dITU2V9JrK2ybvTH6558xto4uNjQ1sbMrfDxMiIiIqYe/+CcT/D+g8DbCuYtgx2smkP6cCrQcDVnb62+ty/5L+pBQAPH4gTUpp2z0R2D0JGH0ScK5t3HWJSkEOZ+OrtG6mPsaec8noFeADO2txoojAT/fkqwFVkN6rjujc/vOwoAJ7Rq18JwDPaw3DmrYtXm/PrIK0nB2FiBBffHvwivT8/1wq8LjdY9rpHIp4/GoKujYt23pXhXn8NAeNIjVFvzcNbYtAX5d8M9BdnScOh1SpBKw5dAVzdp6Dt8IWByd0MjiZpUtGZjamb49Hr4AaCKxTrcjn0eXLvwu+T68854UFPZ8rsDeUrRUnOcll0sSUm5sb3NzcSu38J0+ehLOzszrZExQUhF27pA9BVFQUgoKCAADW1tYICAjAnj171AXUVSoV9uzZg1GjRgEAAgICYGVlhT179qBHjx4AgMTERFy/fl19nqCgIHzyySe4c+eOeia/qKgoODo6onHjxqX2fomIiMgMWNoCNQPFV0FcGwL3EvXvP/Mz0PKd/Nsv7QO+DxeXHWsAww8BpzcDv39c5JA1BGBZc2DMGcCpZgmcj6joFHZWuJn62NRhUClSqQQcu5oCt6o2cLK3hqOtJSzkMnViKHJbPOytLfDoaY7ec5yf8xIyMrPhYGuJjMxs+M+K0tv28z4t0Kq2S4ExVXeyw/ud6uHzvRcNfh+XPu2G3WeTMHLjCcn2vEkpXf6dFQZbS4t8CZq4aS+i/cJ9SH9Wc2rbyVvlKjElCIIkKQXoTwbWnrgz37ZbaU9wLyMT7lVt8ehpNn44cg2f7kpAx4ZuWDuojaTttwevYPaOfwEAnfzc0bmRu6TO08+xN0q8FldEiC++3n8ZAHB2ZhgcbCyx+M9E9ffFJ+HNOETPCEZ9UtevX4ePj49Jiqtdv34dKSkpuH79OnJycnDy5EkAQL169eDg4IDffvsNycnJaNu2LWxtbREVFYVPP/0U48ePV59j2LBh+OKLL/Dxxx/j3Xffxd69e/HTTz9h507NgzB27FgMGDAArVq1Qps2bfDZZ58hIyMDgwYNAgAoFApERERg7NixcHFxgaOjI95//30EBQWhbdu2AIAuXbqgcePGeOedd7BgwQIkJSVh6tSpGDlyJHtEERERVVYf/gsc+RJoM8Sw9iNjgJlO+vdvH5U/MXVgCbBHq16l8oY49K8gU+8AP78LJOyQbm/8GmDrBJxYDzR5A4j/VbPvt9Hi0EJdlLcBa3vAVgGc+A5I2AX0/NbwnmFEBqrmIB0a42RvZaJIqCiyc1SwkMv0/m2ZnaNCvSm/F3qevEkpP8+qWPxmc6z85zLGd2kAa0s5rC3F7xUne2vsHtMOXT87kO88xiQuxnVpWGBi6uVmXpjboxnO3kxDW99qkMtlePk5Lzx41BRTt+ovjJ1X7NRQvckN5yrWODMjTJ3U+f2s/lrGZU2lElB3SsFDGg3R5pP8MyTuS7yL307dwnfRV9GvbS3cUWbik13n1Pv3JtzB3oQ7+Y67dv8RaruW3L9Dud93H3SqBwcb8R4N71AXn++9CDsrCyj488goRiWmfH19cfv2bXUvoLIUGRmJ9evXq9dzZ7bbt28fOnToACsrK6xYsQIffvghBEFAvXr1sGTJEgwZovnlz9fXFzt37sSHH36IZcuWoUaNGli9ejXCwsLUbd566y3cvXsXkZGRSEpKgr+/P3bv3i0pZr506VLI5XL06NEDmZmZCAsLw5dffqneb2FhgR07dmD48OEICgpClSpVMGDAAMyaNas0PyIiIiIqzxTVgbBPCm7j2gC4d15clsmAGc/qmMSuE5NBeX0ZBIyI1qzvMWASFQtrYNINIPU/wMoWsLQBem8AUq8Dq18E+mwEqgdo2ndfLn7VTky56qiHBQDn/wA2vikuT7yuqU/1qTfg+RzwzlagSskOp6DKK28SwZ/Fn8u1Y1dT0GtlNGa/1iTf0LfYqaGo5mCD22mPETR3r54zGObXEcGwt7bE53rqjfl5OuLqvJeR/iQL07fF49e4m1gzsFWJdL5YM7AVLt55iMEhdSCXyxBc11Wyv1/bWujXthb+F3cDH26W1pDKHc529mYaXvn8IN5rX0fnkL28+gfVwnfR12BtRD2mrBwVXvviEEIbuWNw+zpwtBWTKHfSnyArR0B1JyOHiedRZ3L+oXonrj/AG18eVm9b1tsfozedLNL53/8xDgBw7OoDg49RPjGsHpShcutLOdppElD21pa49Gk3qPIWwKNCyQTB8E9NLpcjKSnJJImpykipVEKhUCAtLQ2Ojo6mDoeIiIiMNUOhtZymv12uO+eAL9sCVb2Bceek+7TPZYhx54HFDaTbProEVHHV3b4wOdnA7GdJpbC5QNCI/G0Ki9G9CTDicMFtiAw0YM1RyYxltlZyJMx+CYlJ6Thw4S4GPe9r1CxqVHp0DdXK64u3W2DUxrginf+5GgqcvpEGuQy4PPflIp3DWMevpqDnSvE/BoydFS/+VhpeXn5QvR5SzxU/DNYM736SlWNw/aHDF+/h7dUxADTJLX1+P3MbwzecyLd9WW9/dG/ura79lDs0rSjyJqC04xIEAUevpKCuuwNcHWwwcuMJ7Dx9GwDw26gQNK3uCJlMhj/jkzD0+1ijrz3uxQZYHHVe576f3gtCG9+Ch2kaI/fnz8Kez6FXK05Yposx+Qyjv9tMMYyPiIiIyCwNPyz2dOo4xbD27o3EnkY2On6B6/cLsKkf4N8HOL6m4PMofICqHmIyTBDEelQ1WhU9KQUAFpZA8z7AqR+BxymFt9flTjyQnSn20iIqprx/ljzJUgEAwj7bDwCYs/NcoX+oU/FkZGbj6v0MvLkyGhuGtIW/jxNSMp6i5ewoDGnni4MX7+PcbaVB59KXlGpT2wU/DQtSr+eeP9eaga3QoYE7/jqXjOdqOBXr/RijWQ0FqjvZwbmKlVFJKQD5hueN6FBXsm5MUWztHjv/pTyCj4u9znZLo85j2Z4LOveN3nQSblq9s05eT0VIfeP/vchRCfmSUkcnd1Yvy2QySRHy6a80hqejLSJCfOGt1UurSxNPXJ33MlIfPcXlexmSczbycsS520q85u+NbSdvAZAm0t7vXB930zNx8OJdSa+0N7+OLpGfBzN/i4cgQJ0UV9hxyF5JMLrH1NChQ2Fvr/ubPdeSJUuKHRixxxQRERHpIAhA0hng4R1gQw/dbd7ZCtTtWPLX1u4RFZkizvLnWl9cl8kM69U1ZB9QvWXJx0aVzsC1R/F34l3JtkufdkNdrWFEBz7uqPcP9cqm9Sd/4W56JraOfL5Ehj3eePAIIfP3GXVMXbcqqO5sj/c71YMMwBf7Lua7hwDQK6AG/Gs6Ye2hq/h1RLB6qFmurBwV5DIZ7j8rjm0qmdk5sJTLje6Zl5T2BG3nivWTlr7VHK+3qFHkGDIys9Fk+h/q9Ukv+eG9F8RElyAISMl4inYL9hVYID4vVwcbHJ8aanQsf8Qn4T2tnk4lkQjSHt753gt1MOmlRgYf++KSf3DhzkP1+pW53dTLRelwcz45HV2W7pds+/T1Zng7kJOB6FKqPabOnDkDa2trvfvZo4qIiIioFMlkgNdz4vLkW2Idp3bjga80PQrgXLv045iVZ0hEQwP/APmmo2HDGokKoeuvjvhb0u+ti3cfVvrE1NNsFTYfu4676ZkAgPAVh3B8aihcn/WQuXT3ITov/kfdPu+wMm37z9/FoYv30KWJJ3p8Zdyw3J0fhKCJtzR5vW5Qm3zD/Ia9UBcTX/IDAPQN1D15g9WzekqmTEoBgI2l4T2btGknstrXL94s9fbW0hjm/p6Aub8noGVNJ9xJz8SNB9KZK/u08YGrgw1WH7iCx1m6k1X3HorfK7fTHmPT0f/Qr20tuFUVv18EQZD8zZ+S8RSJSemwspBJklJ/jX2hWO8rl5fCDlO6NcKFO+n4qIue+oZ6RI19QfL9lTtUERDrmjnaWam/lwqTmZ2TLykFAA62nHmvJLDGVDnGHlNERERksMepwJV/ALkV4Net0OZFYmydq1zB7wOHP9c6DxNTVHy5RaLdq9rgzrOkS17VnexwaGInfPn3RSzYnVhivYXMRdS/yRjy3XG9++2tLXT2pHk7sCY+fb0ZAODzPRf01u3R54PO9bH82bCxzn7umN/zOXUiLK99CXcwaN0x9fqKt1vi5ee8jLqeuREEAW99fQQqQcCWYUHF7txhSA0vADg4oSNqONurY1A+zka7BXuhfJKdr+3M7k0wfbumSP1nb/nDQi5TFx6/Ou/lAq9bXobR7j57G8N+yF9XS5e1A1ujo587VCoBcq3kYWZ2DhpO3a3zmOhJneClKF6x+Iqq1HpMsTcUERERUTll5wQ0fq10r/HSAuD3j4075qPLgK1CmpgiKgFNqyuQOKcrrC3kkp4Q2m6mPsaluw+xYHciAGDRH4l6ewNVRAUlpQDoHd61MeY6arnYY+7vCYVeY2W/lgio5YIclQBXB2tYPuuBUsPJDo52Vuja1LPA4zv6STs9VLEpWi8kcyKTybD5vbbq5bIQM7kzPBw1PcxkMhkU9lY6k1IAJEkpABiz+aRkvaCkVPzMML37ylrXpoYnObUTpAt6PIduz3mhy5J/cCvtid5jOMFCyTB8TkmIWVUiIiIiqqRsnYxrHzoDqFJNLJxuo9XbammzkoyKKjEbS4tC/7DXHqZmZ13xkx65RuqYfc0YhiSlFvdqjq5NveBW1QaeClt1UgoA3mztU2hSSpcODSvH6ByZTFYqSak1A1vl23ZlbjdJUkpb9+beJXr9hh5VUaWIM/qVJx//chpNp/+hMynVWSuZaik3KqVCehj1Ka5duxYKRRG7cBMRERGReZMX8kd9i3ek6yEfapab9dQsp10HNudpS1QGov5NNnUIZWbnmdvq5dxhebk8HPMPqzsV2QXD88wOl+u9F+pgTGh9yQxrAHD1fkYJRKrRry2LSBeHv48TOvl54PKn0uHcBSXA5vXQfG+80CB/vasfh7RFzQLqtPVrWxMXP3lJvf7z8CC9bcuLq/NexrlZXXH50264Ou9lrB3UGn3a+BR6XGgjdyTO6YqZrzVRb7PgqLISYVQqc8CAAQCAvXv34tdff8XVq1chk8ng6+uLnj17on379qUSJBERERGVA/p+Ae+zCWj47A+TuO91t+k4BTj+rWb93HYgJ1vsTUVUwqpVscb9jKemDsMoKRlP0XJ2FADg/JyXYG1Z9J4YKpV0pEsbX2f1ctPqjtjxfjskJCnR9bMDAIA9416Awt4KESG++OrvS+q2uTW6cuUdQdOvre7i5EXlZKd/ki3Sb9ZrTRC5LR6r3gkAAEl9JCuLghMn9taW+CEiEIcv3cNHYQ0lw2J/HRGMljWdsf/jjoi/lQa3qjZITErHO98eBQD8OysM9tbiz/CE2V0hkxW9IHxpujK3W77hvtq9Jzs2dEfHhu6wspDju+hrknbdm3tjeZ8Wkm3aBdMFcFRZSTD6N4Fhw4Zh1apVcHZ2RoMGDSAIAg4fPowVK1ZgxIgR+Pxz1g8gIiIiqpAeXNW93UJrKvfOkcCeWUCnqdI2VarlP+77cGDgjpKKjggA8NfY9ghdkn/2rPKu10rNLHf7z99FaGOPIp9r/4W7kvV67lWxbeTz+Dn2Bsa+2AAA4OfpiCtzu0EQNImMvAXK93/cUbIuk8lgIZch51niS9/wMGNNeskPW0/ewuB2viVyvsqmf1Bt9A+qLdnmVtUGd9MzJYlFfULquyKkvisAYN2g1tgSewOfhDeFk70mUZg7o6J7VVudhc1trcpfQiqXTCZTT5KQO7ugLrNea4pqVWzw17lkbBwSiKq2VjrbuVe1QevazpBBBoWd7jZkHKNm5fvf//6H3r174+uvv8aAAQPUXQJVKhXWrVuH4cOHY8uWLejevXupBVyZcFY+IiIiKlf0zcrXcw3QtIe4LAhA2n+Awid/D6t7F4Fjq4GYr7TOyRn6qPi0CzEnzO4Kv2nSGbQOfNwR7RbsA1B+ZgvL1WnR37h8TzokbnX/VpLE1J5zyUh7nIU3WtbQeY6T/6Xip+P/oZFnVVy7/wirD15R7/tjTHs09KxqcDzan6Wuzyr9SRZ+ib2Bbs284F5CiSmi0vYkKwen/ktFG1+XEqntlZtG4QRx+pXarHxr167F2LFjMXDgQMl2uVyOd999F4mJifj222+ZmCIiIiKqiNybAHfi82+/rxn6A5kMcNJTJ8a1HvDSPE1iqvVg8atKBcjlQPZTcSjgc28CNob/IU2kLW/PDWtLuaQYc45KMPlMWoIgYP7uRKz855LO/YO/O469415AHTcHvP3NERy+dB8AMPanUzgV2QUKe00vjawcFcJXHNJ7LWOSUtq6NtFduLyqrRUGPs+eTWRebK0sEFhHR8/dImJCqmQZNXD5xIkTeP311/Xuf+ONNxAbG1vsoIiIiIioHHLR+mO09RDNsmP1op3v2Grg0xrALGexN9YcN2DnWGCu7l4hRIYa36WBennz0Law16oncz3lUYld5+KddPWwNmNsP3VLb1IqV6fF/6D2xJ3qpFSu5rP+VC/HXktB/Sm/G339grSqJdajmvsGZ88korJhVI+pe/fuoUYN/b8o1KhRA/fv39e7n4iIiIjMWMhYIOFZTSgHrSndFcVIJD1N178v+ykg5ABWduJ6ThagvAlYVQEc8s8eRZRrZMd66NrUC3Vcq0Aul0mKdndc9LfRw/lyVAI6Lf4b1+4/wpRujXDk8n3sSbij3q/vfBmZ2bCQyyS9uLSHymkbGFwb6w5fNTimO+lP0OOraIPbG+rn4cEQBIE9QoiozBiVmHr69CmsrPQX97K0tMTTp+Y1+wURERERGah6S8DvFcDSRjrUzrcUZmZO2AVs6qN/v3014OPLJX9dMkt13arg0t0MtK3jAkAcZlPP3UG9vzhJlrTHWWg+U9NL6ZNd5/K1yZvIEQQBBy7cQ/814uxl0ZM6wUthh1c+PyA57pXnvPDF2y3V698fuWZQD6wuS//B+eSHkm3TXmmMiBBfPMnKyVdjy1hMShFRWTJ6Vr5p06bB3t5e575Hj0quWywRERERlTMyGdB7g7gc/aV0uzFe+xLYNqLgNgUlpQDg0X1x+F/DbkCfH8XeVU/S2JOqkvp9dHskJqWjibdhEwalPc4yeDYt7aSUPr6TduH41FC0mvOXzv1Bc/fi6ryXcfamUr3N2d5KkpQCgC3DgjBzezwmd2uE307fwg9Hrus8X96k1OVPu6ln1iMiMjdGJabat2+PxMTEQtsQERERUQUnqIp+rJ1TiYWBxF3i1znPElJhc4GgQpJeVOFYW8rRrIaeWSN1SEp7YlBi6tr9jELb5NKXlMolCAJa1XLG8WsP0CugBhb2ap6vTcuaztg2KgQAEFinGvafv1doTazYqaGSpJR2YXdf1yoGx09EZCpGJab+/vvvUgqDiIiIiMyKkFP0Y6109L6fkgRY2gIznXQf0248cPUAUMVNU+cq1wythMQfk4C2w43vxUUVXnMfJ5z6LxUAcCv1sUGz1d17qClTktsrKf5WGv6IT8aojvXQYKrhhcd9J+1SL/t5Gdaza8PgQGyJvYHuzb0QumR/vv0HPu6Iag42km1WFpr5rfx9nAyOj4jIVIweyqdLdnY2njx5AgcHh8IbExEREVHlZp3nd8Z+v2oKnDvXBh5cFZdf+QwIGKg/yTRDTw+ZFW2A9w4AVrbFj5UqjG/6B6DNJ3sAALfSHht0zB3lEwBiDavcXklNvBVo4i1+720a2ha9Vx0xOpaHT7INaufjYo+xL4ozDC7r7Y+466no17aWpH5WQRxsSuTPPSKiUiUvvInGb7/9hnXr1km2ffLJJ3BwcICTkxO6dOmCBw8elGR8RERERFQetewPKGoCgcONP/Zxima53TigXmfN+jv/E7/6BAKtBhXc88nBQ/f2e+eBjW8aHxdVaO5VNYnKZGWmQcdsiBFrPF26q3tInzzP9+ey3v6S9a0jn9d53FUjhgjmes2/OmZ0b2JQUiq31laPgGLMmElEVEaMSqEvWbIEPXv2VK8fPnwYkZGRmDVrFho1aoQpU6Zg9uzZWLJkSYkHSkRERETliJ0zMOZ00YbMudTVLNcOybOvDjDtHmBhQGHqsQnAqY3Av9uAC3kKVF/5x/i4qNJIf5JlULuDF+8BAKwsdH+f5x0q95p/dbzmX73Q8zrbWxt0/aL6ZXgw7qZnwsdF96RVRETliVE9puLj4xEcHKxe//nnn/Hiiy9iypQpeOONN7B48WL89ttvJR4kEREREZVDRa3jpF04vXa7/PsNSUoBgFwOtOgHvP0T8F7e+jusMUX6rT101aj2+hJJ1paaP6c2DW1r0Lna1HbB+53qGXV9Y9laWTApRURmw6geU+np6ahWrZp6/eDBg+jVq5d6vUmTJrh161bJRUdEREREFU+1ekCdjmIhc0OTUAWRyQCv5kDrwcCx1c82CoAgsAg6lYjcoXG6xE17EXfSMw0qph4R4otprzQuydCIiMyeUT2mqlevjnPnzgEAHj58iFOnTkl6UN2/fx/29szMExEREVEB5HKg/1agxzcle96wT4E3v9OsK2+W7PmpUum8+G/18qhO9fW2c65ibVBSCgDcqtoU3oiIqJIxKjHVq1cvjBkzBt9//z2GDBkCT09PtG2r6bJ6/PhxNGzYsMSDvHr1KiIiIuDr6ws7OzvUrVsX06dPx9OnTyXtTp8+jXbt2sHW1hY+Pj5YsGBBvnNt2bIFfn5+sLW1RbNmzbBr1y7JfkEQEBkZCS8vL9jZ2SE0NBQXLlyQtElJSUHfvn3h6OgIJycnRERE4OHDh0bHQkREREQlyNIGaPiyZj3x9/xtMh8CWU/KLiYyS9k5KknBc0EQSuS8A4Nrl8h5iIgqEqMSU5GRkWjdujU++OADnDx5Ej/88AMsLCzU+3/88Ue8+uqrJR5kQkICVCoVvv76a8THx2Pp0qVYuXIlJk+erG6jVCrRpUsX1KpVC7GxsVi4cCFmzJiBVatWqdscPnwYffr0QUREBOLi4hAeHo7w8HCcPXtW3WbBggVYvnw5Vq5ciZiYGFSpUgVhYWF48kTzC0zfvn0RHx+PqKgo7NixA/v378fQoUONioWIiIiISoGFVqUKexfpvqwnwNzqwCceQOp/ZRsXmZUfjlyTrPu6VinyuX56Lwg9WtbAiWkvwtbKovADiIgqGZlQUun/MrZw4UJ89dVXuHz5MgDgq6++wpQpU5CUlARra7E44cSJE7F161YkJCQAAN566y1kZGRgx44d6vO0bdsW/v7+WLlyJQRBgLe3N8aNG4fx48cDANLS0uDh4YF169ahd+/eOHfuHBo3boxjx46hVatWAIDdu3ejW7duuHHjBry9vQ2KxRBKpRIKhQJpaWlwdNQ/rp2IiIiItKx7Bbh6AGg7Eki9Bjz3JpD1GPjfe9J2b34P3E0E2o0ThxdShVd74k71clgTD9R0sUfPAB/1ULyn2Sp8uPkkdp65LTnu2JRQDsMjIjKCMfkMo/4FdnZ2houLS76Xr68vwsLCEBUVVazAjZGWlgYXF83/gkVHR6N9+/bqRBAAhIWFITExEQ8ePFC3CQ0NlZwnLCwM0dHRAIArV64gKSlJ0kahUCAwMFDdJjo6Gk5OTuqkFACEhoZCLpcjJibG4FiIiIiIqJRcPSB+PbICSNgB/NQ/f1IKAH56B9g3B/jl3bKNj0ymjlbPpz/ik/HNgSsI+2w/ak/ciYt3HqLB1N/zJaWIiKh0GTUr32effaZze2pqKmJjY/HKK6/g559/LpXhfNouXryIzz//HIsWLVJvS0pKgq+vr6Sdh4eHep+zszOSkpLU27TbJCUlqdtpH6evjbu7u2S/paUlXFxcJG0Ki0WXzMxMZGZmqteVSqW+j4CIiIiISsr1GFNHUDzKW0DKFaBWsDgLoSpH3C63ANKTAUtrQCYHbBWmjbMc6NOmJj7ZdU7nvtAl/+g9rqqtUX82ERGREYz6CTtgwIAC9/v7+2Pu3LkGJ6YmTpyI+fPnF9jm3Llz8PPzU6/fvHkTXbt2Ra9evTBkyBCDrmMu5s6di5kzZ5o6DCIiIqKKbeQxYOfYZwmdS4B9tbKPIeM+sLCOuDxgB+Dbrmjnyc4EljTSrHeaCuydo7tt3U7A2z8BFlZFu1YFIJfLjGq/5M3maOztyNpQRESlqERT/6+88grmzNHzD6EO48aNw8CBAwtsU6dOHfXyrVu30LFjRwQHB+crJO7p6Ynk5GTJttx1T0/PAtto78/d5uXlJWnj7++vbnPnzh3JObKzs5GSklLodbSvocukSZMwduxY9bpSqYSPj4/e9kRERERkgNaDga7zgUylOHOfdRVg4A7g+hFgTRiQfCb/MU+UYnuZBeDolX9/ccyrBTxJ1ayvfwX4+Er+Yu0Fyc4EMu4BSxtLt+tLSgHApb3AbFcgMkXsTVUJGZKXmviSHxp6VsX1+4/wRssapR8UEVElV6KJqczMTEldpcK4ubnBzc3NoLY3b95Ex44dERAQgLVr10Kep0BlUFAQpkyZgqysLFhZif8LFBUVhYYNG6qHzgUFBWHPnj0YM2aM+rioqCgEBQUBAHx9feHp6Yk9e/aoE1FKpRIxMTEYPny4+hy5QxcDAgIAAHv37oVKpUJgYKDBsehiY2MDGxsWVSQiIiIqlnqhwMW/gGr1gaF/AzYO4va8iR8rO83ylkFAk9eBxt2BPbOBA4ukbQftBmoFFT+21P+kSalcC3yBGWmGnUOlAua4F95On1kummupVMAsrd9PxyaIn932UcC480BVD93nMFMWeTJT20Y+j9dWHJJsiwjxhZUFi+ETEZWVEv2J++2336oTOiXp5s2b6NChA2rWrIlFixbh7t27SEpKUtd0AoC3334b1tbWiIiIQHx8PDZv3oxly5ZJeiCNHj0au3fvxuLFi5GQkIAZM2bg+PHjGDVqFABAJpNhzJgxmDNnDrZv344zZ86gf//+8Pb2Rnh4OACgUaNG6Nq1K4YMGYKjR4/i0KFDGDVqFHr37g1vb2+DYyEiIiKiUvLm98CA34ARRzRJKV2camqW438Vi6HPUORPSgHA2q5ATlbxY/usqf59jw2YJOfiHiB2TeHtXl4s9oyakaY74fVECST/K01KAcASPzEpBQCLGxR+HTMjk0kTU819nDC+i+Z9Tujqx6QUEVEZM6rHlL7ESlpaGk6cOIHz589j//79JRKYtqioKFy8eBEXL15EjRrS7rSCIAAQZ8/7888/MXLkSAQEBMDV1RWRkZEYOnSoum1wcDA2btyIqVOnYvLkyahfvz62bt2Kpk01vyB8/PHHyMjIwNChQ5GamoqQkBDs3r0btra26jYbNmzAqFGj0LlzZ8jlcvTo0QPLly9X7zckFiIiIiIqJdb2gG/7wtvZ6e/JrlP6bWkyy1hPH0nXAwYC7cZrklXH1wDtxonLGfeB3z4A7l0Ahh0EHiYBMV8D0V8Ufp3pqWIRdG0z0sSkW66/ZgDHvy38XAc/A/6aLi43eAnovcGshwHeVT7Jt23Q8744cOEewpp44t0QXx1HERFRaZIJuZkdA3Ts2FHndkdHRzRs2BDDhw/PNxsdFZ1SqYRCoUBaWhocHR1NHQ4RERFRxTNDz0x1XT4BgkdJ2ww7BHgW0OOpIDnZwOnNwLYRWtdOk55fZgFMTwEepYhD+wwxcBdQ+3lxSN6ZLUCNVkC1urrbqnLEYXy6jDkDfNas8OvJLIBuC8Thks61DYuxHKk9cadk/eq8l00UCRFRxWZMPsOoHlP79u0rVmBEREREROXKx1fyJ4EG7gRqh+Rvu/J5zXKv9UCTcMOu8fO7wNlfpNtstH5JbzsSOLICEHLEdUOTUoCYlAIAuRxo/lbBbfX1dNLVw0ofIQfY+axXV/AHQL3OQO12ZtOLakBQLayPvgYAqGpTouV2iYioiDiAmoiIiIgqL/tnhcDHnBVrMk27rzspldeWAQXXhFLliEPvZijyJ6UAYMJVzXJtrYTXr+8ZHDpaRRjeNtfUu2JReABo2R+YekeTlBpzVhyuN2AHUKeD9Lg2OkpSHF4OfPfas2LqCnH4YTk3o3sT9fKEl/xMGAkREeXifxMQERERETn56N/n2hC4l5h/+/zagE+gWGjcs5lYUDw9CVjRuvDrafcw8m6hWT69qeDj3v0DqB4A3L8IuBUhsWJpDbx/XPc+Jx/g7WfXr+oFfCHOQI2IvwCf1uKMgud/13/uhXUMn1nQRLSLn9d1K6AwPhERlRkmpoiIiIiICqIrKZXrvxhgpQE9rF5bAWwbKS73XCvd5+hd+PEjYgDX+pqElnujwo8pDtd6Yu8qS2vNtre1kmb6anOZga0jn8eF5HQE1a1m6lCIiAhMTBERERERFSxkLHBwSdGPz+1F1OxNIO0//cXJ83KqBaSK9ZDg1tDwOlAlRTsplVfue8rJBmZrJXgep4rJujodAEubwq+hUon1scqQv48T/H2cyvSaRESkHxNTREREREQF6TgZuH4EuH4Y6DQN2Dtbs+/50cChZZp1hQ/Q50dxaF9eltaGJ6UAYMxp4Ni3gKJG2SelDGVhCQw7qOk1Nr+WZl9hw/pye10N+h2oFVw68RERUbnHxBQRERERUUEsrIB3fwcyHwI2DoCVHfDHZHFf6EygWS9NYuatH3QnpYqqdREKnJc1fe/37C9A0x6adX3D/9a+VO5rUxERUelhYoqIiIiIyBA2z4pltx0ByCwAb3+xJ5NnM+DFWWLhc6/mxbtGo+7Aue3FDrVc+Pld8WUIlQoQcoDkePEzLK89xIiIqMQxMUVEREREZAyZDGg7TLrt+dHFO+eYs8CDq+KQtt0TgdoGFFSvSNa9LA6VzDVoN1AryHTxEBFRmZEJgiCYOgjSTalUQqFQIC0tDY6OjqYOh4iIiIhItwfXgGXPFd4ud6Y/QRCH+v1SyFBFDvEjIjJLxuQzynYKDCIiIiIiqnicawE914jLtdtJ90WmAMMOAVOSNDP9yWRAs56FnzfzYcnGSURE5Q4TU0REREREVHxNe4g9nAbu0CSnui0C5BaAZ1OxaHxhvFtK1/+LKfk4iYioXGGNKSIiIiIiKlkDdxh/zOTbgLW9WAh9lrO4Tcb/Ryciquj4k56IiIiIiEzD3lX82uR1MSkFAHI54NNWXM5UmiYuIiIqM+wxRUREREREpvHxJSAzHbCpKt1uqxC/PmHxcyKiio49poiIiIiIyHTyJqW0t7H4ORFRhcfEFBERERERlS+WNuLXnKfi18cPgBkK4JtOpouJiIhKBRNTRERERERUvlhYiV9zE1Pza4tfb8YCgmCSkIiIqHQwMUVEREREROWLhbX4NecpcPu0dN/FPWUfDxERlRompoiIiIiIqHyRP+sxdXIj8HU76b4NPco+HiIiKjVMTBERERERUflyepP4VXnTtHEQEVGpY2KKiIiIiIjKlydppo6AiIjKCBNTRERERERUvryxSrr+ymcmCYOIiEofE1NERERERFS++LSVrvv3NU0cRERU6swiMXX16lVERETA19cXdnZ2qFu3LqZPn46nT59K2shksnyvI0eOSM61ZcsW+Pn5wdbWFs2aNcOuXbsk+wVBQGRkJLy8vGBnZ4fQ0FBcuHBB0iYlJQV9+/aFo6MjnJycEBERgYcPH0ranD59Gu3atYOtrS18fHywYMGCEv5UiIiIiIgqKAsrzXLzPoClNRA6Q1z3fcEkIRERUekwi8RUQkICVCoVvv76a8THx2Pp0qVYuXIlJk+enK/tX3/9hdu3b6tfAQEB6n2HDx9Gnz59EBERgbi4OISHhyM8PBxnz55Vt1mwYAGWL1+OlStXIiYmBlWqVEFYWBiePHmibtO3b1/Ex8cjKioKO3bswP79+zF06FD1fqVSiS5duqBWrVqIjY3FwoULMWPGDKxaladLMhERERER5ZeTpVl28xO/2ruKX63syj4eIiIqNTJBEARTB1EUCxcuxFdffYXLly8DEHtM+fr6Ii4uDv7+/jqPeeutt5CRkYEdO3aot7Vt2xb+/v5YuXIlBEGAt7c3xo0bh/HjxwMA0tLS4OHhgXXr1qF37944d+4cGjdujGPHjqFVq1YAgN27d6Nbt264ceMGvL298dVXX2HKlClISkqCtbU1AGDixInYunUrEhISDH6PSqUSCoUCaWlpcHR0LMrHRERERERkflQqYJazuDztntiDKu4HYNtIoH4XoO8W08ZHREQFMiafYRY9pnRJS0uDi4tLvu3du3eHu7s7QkJCsH37dsm+6OhohIaGSraFhYUhOjoaAHDlyhUkJSVJ2igUCgQGBqrbREdHw8nJSZ2UAoDQ0FDI5XLExMSo27Rv316dlMq9TmJiIh48eFDMd05EREREVMHJ5UDkA2B6qmZYn+zZny7m+f/qRESkh1kmpi5evIjPP/8c7733nnqbg4MDFi9ejC1btmDnzp0ICQlBeHi4JDmVlJQEDw8Pybk8PDyQlJSk3p+7raA27u7ukv2WlpZwcXGRtNF1Du1r6JKZmQmlUil5ERERERFVSnI5IJNp1nMTU9lPdLcnIiKzZNLE1MSJE3UWLNd+5R36dvPmTXTt2hW9evXCkCFD1NtdXV0xduxYBAYGonXr1pg3bx769euHhQsXlvXbKrK5c+dCoVCoXz4+PqYOiYiIiIionHiWpLp6ANhvPr/jExFRwSxNefFx48Zh4MCBBbapU6eOevnWrVvo2LEjgoODDSokHhgYiKioKPW6p6cnkpOTJW2Sk5Ph6emp3p+7zcvLS9Imt26Vp6cn7ty5IzlHdnY2UlJSJOfRdR3ta+gyadIkjB07Vr2uVCqZnCIiIiIiAoBH9zXLe+cAbUcA1lVMFw8REZUIk/aYcnNzg5+fX4Gv3DpNN2/eRIcOHRAQEIC1a9dCLi889JMnT0oSTEFBQdizZ4+kTVRUFIKCggAAvr6+8PT0lLRRKpWIiYlRtwkKCkJqaipiY2PVbfbu3QuVSoXAwEB1m/379yMrK0tynYYNG8LZ2VlvvDY2NnB0dJS8iIiIiIgIwPnfpetfPW+aOIiIqESZtMeUoXKTUrVq1cKiRYtw9+5d9b7cHkjr16+HtbU1WrRoAQD49ddfsWbNGqxevVrddvTo0XjhhRewePFivPzyy9i0aROOHz+u7n0lk8kwZswYzJkzB/Xr14evry+mTZsGb29vhIeHAwAaNWqErl27YsiQIVi5ciWysrIwatQo9O7dG97e3gCAt99+GzNnzkRERAQmTJiAs2fPYtmyZVi6dGlZfFxERERERBVPTrZ0/cEVcfY+A/7DmoiIyi+zSExFRUXh4sWLuHjxImrUqCHZJ2jNyjF79mxcu3YNlpaW8PPzw+bNm9GzZ0/1/uDgYGzcuBFTp07F5MmTUb9+fWzduhVNmzZVt/n444+RkZGBoUOHIjU1FSEhIdi9ezdsbW3VbTZs2IBRo0ahc+fOkMvl6NGjB5YvX67er1Ao8Oeff2LkyJEICAiAq6srIiMjMXTo0NL4eIiIiIiIKj47p/zb7iUC7o3KPBQiIio5MkHgfKvllVKphEKhQFpaGof1EREREVHltutj4OjX+bfPSCv7WIiIqEDG5DPY75WIiIiIiMo/VVbhbYiIyOwwMUVEREREROWfRxPd25+wxxQRkTkzixpTRERERERUybUcKBZArx0CrNSake9RCmCrMFlYRERUPExMERERERFR+WdhCbQdln+7KqfsYyEiohLDoXxERERERGS+WHuKiMisMTFFRERERETmJXSmZlmVbbo4iIio2JiYIiIiIiIi8xIyBrB2EJdz2GOKiMicMTFFRERERETmp4qr+JU9poiIzBoTU0REREREZH7kVuJX9pgiIjJrTEwREREREZH5kVuIX9ljiojIrDExRURERERE5udugvj13G+mjYOIiIqFiSkiIiIiIjJfx74xdQRERFQMTEwREREREZH5atrD1BEQEVExMDFFRERERETmp2lP8Wv1ANPGQURExcLEFBERERERmR8La/Eri58TEZk1JqaIiIiIiMj8cFY+IqIKgYkpIiIiIiIyP3JL8asqx7RxEBFRsTAxRURERERE5oc9poiIKgQmpoiIiIiIyPyoe0wxMUVEZM6YmCIiIiIiIvPDxBQRUYXAxBQREREREZkf2bM/ZQ4tA54+Mm0sRERUZExMERERERGR+bn8t2b5Uy8WQSciMlNMTBERERERkfnJVErXj602TRxERFQsTEwREREREZH5keX5Uyb5rGniICKiYjGbxFT37t1Rs2ZN2NrawsvLC++88w5u3bolaXP69Gm0a9cOtra28PHxwYIFC/KdZ8uWLfDz84OtrS2aNWuGXbt2SfYLgoDIyEh4eXnBzs4OoaGhuHDhgqRNSkoK+vbtC0dHRzg5OSEiIgIPHz40OhYiIiIiIiqivEP3TnxnmjiIiKhYzCYx1bFjR/z0009ITEzEL7/8gkuXLqFnz57q/UqlEl26dEGtWrUQGxuLhQsXYsaMGVi1apW6zeHDh9GnTx9EREQgLi4O4eHhCA8Px9mzmv9dWbBgAZYvX46VK1ciJiYGVapUQVhYGJ48eaJu07dvX8THxyMqKgo7duzA/v37MXToUKNiISIiIiKiYmBNKSKiCkEmCIJg6iCKYvv27QgPD0dmZiasrKzw1VdfYcqUKUhKSoK1tTUAYOLEidi6dSsSEhIAAG+99RYyMjKwY8cO9Xnatm0Lf39/rFy5EoIgwNvbG+PGjcP48eMBAGlpafDw8MC6devQu3dvnDt3Do0bN8axY8fQqlUrAMDu3bvRrVs33LhxA97e3gbFYgilUgmFQoG0tDQ4OjqWyOdGRERERFQhrHsFuHpAum1GmmliISIiCWPyGWbTY0pbSkoKNmzYgODgYFhZWQEAoqOj0b59e3UiCADCwsKQmJiIBw8eqNuEhoZKzhUWFobo6GgAwJUrV5CUlCRpo1AoEBgYqG4THR0NJycndVIKAEJDQyGXyxETE2NwLLpkZmZCqVRKXkREREREpIOFlXTdyt40cRARUbGYVWJqwoQJqFKlCqpVq4br169j27Zt6n1JSUnw8PCQtM9dT0pKKrCN9n7t4/S1cXd3l+y3tLSEi4tLodfRvoYuc+fOhUKhUL98fHz0tiUiIiIiqtxk0tXaIaYJg4iIisWkiamJEydCJpMV+NIe+vbRRx8hLi4Of/75JywsLNC/f3+Y6UhEnSZNmoS0tDT167///jN1SERERERE5ZMsT2Lq/kXTxEFERMViacqLjxs3DgMHDiywTZ06ddTLrq6ucHV1RYMGDdCoUSP4+PjgyJEjCAoKgqenJ5KTkyXH5q57enqqv+pqo70/d5uXl5ekjb+/v7rNnTt3JOfIzs5GSkpKodfRvoYuNjY2sLGxKeDTICIiIiIiUZ7EVMpl8eutOOBCFBAyFrAw6Z87RERkAJP2mHJzc4Ofn1+BL+06TdpUKhUAsS4TAAQFBWH//v3IyspSt4mKikLDhg3h7OysbrNnzx7JeaKiohAUFAQA8PX1haenp6SNUqlETEyMuk1QUBBSU1MRGxurbrN3716oVCoEBgYaHAsRERERERVD3h5TAKBSAas6APs+AWZXK/OQiIjIeGZRYyomJgZffPEFTp48iWvXrmHv3r3o06cP6tatq04Yvf3227C2tkZERATi4+OxefNmLFu2DGPHjlWfZ/To0di9ezcWL16MhIQEzJgxA8ePH8eoUaMAADKZDGPGjMGcOXOwfft2nDlzBv3794e3tzfCw8MBAI0aNULXrl0xZMgQHD16FIcOHcKoUaPQu3dveHt7GxwLEREREREVg0vd/Nsy7uZZv182sRARUZHJBDMo0nTmzBmMHj0ap06dQkZGBry8vNC1a1dMnToV1atXV7c7ffo0Ro4ciWPHjsHV1RXvv/8+JkyYIDnXli1bMHXqVFy9ehX169fHggUL0K1bN/V+QRAwffp0rFq1CqmpqQgJCcGXX36JBg0aqNukpKRg1KhR+O233yCXy9GjRw8sX74cDg4ORsVSGGOmVyQiIiIiqlSeKIGoaUDGPSBhh+42g34HagWXbVxERGRUPsMsElOVFRNTRERERESFUKmAWXrKZTQOB95cX6bhEBGRcfkMsxjKR0REREREpJO8gD9p/t367Os2YIYCUN4uk5CIiMhwTEwREREREVHFdSsO+Km/uLzEz7SxEBFRPkxMERERERFRxbWqg6kjICKiAjAxRUREREREFYeVPVCjtamjICIiAzExRUREREREFceH8UDKZVNHQUREBmJiioiIiIiIKg57F+DRfek2W4VpYiEiokIxMUVERERERBXbwF2mjoCIiPRgYoqIiIiIiCqWei9qlj2fA6q4PluRAYJgkpCIiEg3S1MHQEREREREVKJe/xo4tloc1te8t1YySgCyHgHWVUwaHpmpxw+Aa9FAgzBAbmHqaIgqDCamiIiIiIjIvI09Bxz5EugwSVyvUg3oMEGzX5WjWf57LtBlTtnGR+bn6DfAXzOB0OnArvHSfU41gTFnTBMXUQXEoXxERERERGTeHL3FZJO+nlDavVsOf142MZU3O8YC20YBWU9MHUn5F/8/MRn1ND1/UgoAUq+XfUxEFRh7TBERERERUeWSkw1YlMM/hVQqQCYTXyVBEIDEXUDaTeD4t+K2uO+BGWklc/7y6HEqILcEbBzE9//0IXDvAnDmZ6BGANCoO2Bhpf/4P6YA0V+UWbhExMQUERERERFVNum3xOFYxnj6CFBlAbaK0okp+V/gqyBxeeL1krnO5n5Awo7822coNMmpRynAyY2AW0NxmGOv9YCTT/GvnZcgADlPAQtr4PZJ4P4loEFXsZebsYm4nCzg3nnAvbHm2McPgBWBwMPkwo/v9wtQLzR/fDOdDI8hegUQNNLw9kSkFxNTRERERERUuShvG56YEgRg51jg+Brd+9uNAzpHFj2W60eA7e+LiZZcVw8Bft2Kfk4AuBClOymVa4aexNdnTYEJVwE758Kvkbhb/GyUN4HwlYB/H3H7oxQx4WRpU/C1cn10WawLltfvE4CYleJym6HiZ13FDfh5EHDuN3H7hGuATVVgfu3C4831Qw8g8gEg16pso6uX1LR7YhLM0lZsm3YTWNpY3PfHZOB6NPDWD4Zfl4h0kgkC50str5RKJRQKBdLS0uDo6GjqcIiIiIiIzNf5P4CNb4rLPdcATXsYdlxhSRXA+KFxKpU4tE5X/SIA6PEt0KyncefMF1Mxe1zlvqeUK0DCTuBJGrB/gbht0k1gbvXinT+vyAfAX9OBw8tL9ryF6fIJ8OcU6bYRRwD3Rrrb5/1cK/KwSKJiMCafwR5TRERERERU8TUI0yyn3TDsmKSzhrU79i3QOiL/9hPfAy51gNrPS7dHfw5EFdDL6pcIwO9lwMpOXP93O/AkFWjZ37B48hqwA1j/inHHFFRrqaSTUgAwy4AeWoZ44xuxB9dfM4DeG8XPMVfKFWC5v7R93qTUG9/oT0oBgJU9kPWoZGIlIgBMTBEREREREemWfluz3G0R0LCbZiiXtp1jAb9XgMUNdJ+nzyag4UvAxb/EYWSG+MQTeOUzYMcYzba7ieLsg4XVZPrvmHTdu4V0XVcvoQ9OSpM2JV0AvNsioPVgTew5WcDFPcCPbxV+7PsngDNbxBpYhWnyuljcPHA4YGUr3efiC3T/Atg+Svexb34HNH6t4PN3mioO48t1ZKU4zFCeZ8L7pLPA1YPA7gni90bdjkCL/oCldeHvgaiS4VC+coxD+YiIiIiISlDuMCxLO2BqUuHt434Ato0E3JsAIw6L25S3gP+OirO7GdPLZ0Za/mFgwe8DLQcAgkos2r3+1cLP41gDGBuf59wFDNvz7weErxB7Xe1fKCZfXHzFXmNLm4ht+v4M1H8ROLUJ+N97+s/VcgBwYr1mvfnbwMuLxHpSKVcAx+pi4uWJEpj3rID6kH1iYXXrKrrPqSv2bouAI18CKZeBkccAN62E350E4MtAzbpMDgz9G/i6vZiU6rVOf/y5Ht4BDn4GHFmhFYeBQ/KynwJz3PJvf340cGhZ4ccP3gtUb1n0mRcFAbgVB9i7AM61i3YOojJgTD6DialyjIkpIiIiIqISpJ0EMSQRsaqDmATQ1z76S+CPSQZeO09i6u0tQIMu0jaLGgIPDUiY5caSeh34rJlhbXXJ/VMwN0mS9QT4xEOzv8FLwNubNOuPUoAFvpr1duOBztN0nzv7KSC3zN+TKK9Dy6TDGvv+AtQP1d8eEBNWj1LE4uNthopF1h/eFZM1couCj5XEmAkk7gLqdATsnAw/7szP4nDL4vj4ihivMW4cB1Z31qy/9iXQom/x4iAqJcbkMwr5KUFERERERFRJ5Sal5Fa691cPMPxc2kmpLp/kT0oBwIDtYq+fVw0oAH4jtvCkVGFkMmnPnbxD3/r8KF3PO1PfcwUMw7O0LjwpBYg9jbQ9uFL4MS51gBqtxB5nuTP/ObgZl5QCxGObvG5cUgowvjB9Ve/82xb4AtdjxEL4GfeAa4fFmR8fpQCPU4Ff3xO/Z7Rf2kkpANg2QkwAEpk51pgiIiIiIiIqiL7EhWOehMOYs8BnTTXrTXsAZ38x/DpuDTVD0QIG6B+ip2/7618Dtgrgx96GX7MgeYebyWTi0DlBJa676ampVRz+b5f8Ocvae/vFYY1XDwKNXhUTZnl7owHAGh3JyR0fFn7+qt5A+i1xeY4b0PtHwK9b8eMmMhEmpoiIiIiIiPLKfKhZbtBVdxsnn/zrM9LEIXJZj4HsJ7oTU3fPGRZD3ppO+rx3APB6TlzOemzYuQvTcaru7R9dAmLXAs3eLJnraGvyhv5aVOXNkL3AN53E5RdnA89/IH72GXcBp5ri9ibhmvZWtmLScdv7wNP0ol83d3ildnJyUx9g3Hmgqof+44jKMSamiIiIiIiI8ppbXbMcMFB/u9dWiDPG9ftVs00mA6ztxZcuN44bFsPLS4DWEYCDB7C4oe42U5IAKzutDUUsqq19zRPrgRA9PXfsXYB244p3DX0c3EvnvKXBo5k4pNDBU0xKAeJ9yE1K6dLkdfF1YDGwZ1bh16jiDnx0QUx0qrLF2QZzySwAIUezfuOo2DuLyAyxxhQREREREVU+614B4reK9XzyepohXbew1n+eFv2A/tuMq2/USU9vpLwsLAGv5kBVT7HQeK7Be4HQGcDUO3mSUpDG4ewLo7WOEIeiWZRhH4bG4eIQwVbFLCheliytxRkDB+0y/ti6eWpFWVURe9pFpgB1OjzbKBOTUoCY6LTIU+ds2j2gjdYMimd+Nj4OonLCbBJT3bt3R82aNWFrawsvLy+88847uHXrlnr/1atXIZPJ8r2OHDkiOc+WLVvg5+cHW1tbNGvWDLt2SX+QCIKAyMhIeHl5wc7ODqGhobhw4YKkTUpKCvr27QtHR0c4OTkhIiICDx8+lLQ5ffo02rVrB1tbW/j4+GDBggUl/IkQEREREZFRWg/RLF89AGwZAMyvBTy8I24TBODcDuDTPLWjHKujRDR5HXj3z6L1bOk87dnMfmlAjQCxR1Nu4W9t2gkMY4qzm1KP1cDYhNKpWVWaLCzz1+EyhFWennS5M+vJLcRZCV9dDnxwouBzyOVAN62/Mf/danwcROWE2SSmOnbsiJ9++gmJiYn45ZdfcOnSJfTsmX82hL/++gu3b99WvwICND+MDx8+jD59+iAiIgJxcXEIDw9HeHg4zp49q26zYMECLF++HCtXrkRMTAyqVKmCsLAwPHnyRN2mb9++iI+PR1RUFHbs2IH9+/dj6NCh6v1KpRJdunRBrVq1EBsbi4ULF2LGjBlYtWpVKX06RERERERUKBc9PYgW1QcuRAEznYDNffPv1x4yVRxe/kDNwJI5lyFs9RRJL28srCpXfaS8Qzxf1BrWZ2EpFr53qWPYuXJ7mclZpYfMl0wQBMHUQRTF9u3bER4ejszMTFhZWeHq1avw9fVFXFwc/P39dR7z1ltvISMjAzt27FBva9u2Lfz9/bFy5UoIggBvb2+MGzcO48eLXWXT0tLg4eGBdevWoXfv3jh37hwaN26MY8eOoVWrVgCA3bt3o1u3brhx4wa8vb3x1VdfYcqUKUhKSoK1tdjtd+LEidi6dSsSEhIMfo9KpRIKhQJpaWlwdHQs4idFREREREQAgCNfAbsnGn/c+AtFr3+kXaQ6Xz2oUrLYD0i/DQz4DfBtX/rXI+OkJwOLn/UOG38RcHAr+rku/wN8111cnpFW/NiISogx+Qyz6TGlLSUlBRs2bEBwcDCsrKRjbbt37w53d3eEhIRg+/btkn3R0dEIDQ2VbAsLC0N0dDQA4MqVK0hKSpK0USgUCAwMVLeJjo6Gk5OTOikFAKGhoZDL5YiJiVG3ad++vToplXudxMREPHjwQO/7yszMhFKplLyIiIiIiKiEyIr454+dS9GvOSoWCJ0JTL5VNkkpABhxBBj6D5NS5ZWdk2bZtpgdELR7xT3W/7cmAEB5G7iTAPw2WkyYzlAAd86JQ1hLiyoHuH4EyMkuvWuQ2TOrxNSECRNQpUoVVKtWDdevX8e2bdvU+xwcHLB48WJs2bIFO3fuREhICMLDwyXJqaSkJHh4SLuIenh4ICkpSb0/d1tBbdzdpf9bYmlpCRcXF0kbXefQvoYuc+fOhUKhUL98fHz0tiUiIiIiIiPlTUyN0jE73qvLAOfa4qxnH10SE0rFKQTuWg8IGQNYVyn6OYxl5wR4+5fd9cg4ljbAh/HiS1edMGNUq6tZnl87f+H+XMfXAkv8gC8Dgdh1mu1ftgVObRKX934C7Pq4ePFou3YYmOUCrAkDZlfTJM5SrgC/jQEy7pVuUozMhkkTUxMnTtRZsFz7pT307aOPPkJcXBz+/PNPWFhYoH///sgdiejq6oqxY8ciMDAQrVu3xrx589CvXz8sXLjQVG/PaJMmTUJaWpr69d9//5k6JCIiIiKiiiNvYsq1PlArRLqtRX/gg5PAtLtAFdeyTShR5aGoIb6Ky9pBuv6pt9gTSqUC0pOAPbPE9R1j9J9j6zAxSbR/AXD0a+DeBf1tDfX4AbD2Jem2+bXFWJb7A7FrgYV1xbpued06Cdw+VfwYzJkgVKqknUkrpI0bNw4DBw4ssE2dOpqib66urnB1dUWDBg3QqFEj+Pj44MiRIwgKCtJ5bGBgIKKiotTrnp6eSE5OlrRJTk6Gp6enen/uNi8vL0mb3LpVnp6euHPnjuQc2dnZSElJkZxH13W0r6GLjY0NbGyKmTEnIiIiIiLdTv2Yf1vIh8C1g+LyWxvE2c4AsccUUXmnb1bAWc7GnWehVs+rf7cC7T8qckj4sQ+QuMvw9jMUgOdzgFNNIEFTDxpTkgEr26LHUd7k1gMbdhDwbJZ/f8zXwO95eqwNOwR4Ni2b+EzIpD2m3Nzc4OfnV+BLu06TNpVKBUCsy6TPyZMnJQmmoKAg7NmzR9ImKipKndjy9fWFp6enpI1SqURMTIy6TVBQEFJTUxEbG6tus3fvXqhUKgQGBqrb7N+/H1lZWZLrNGzYEM7ORv6AICIiIiKiknHjWP5t9UOBPpvEXlKNXinzkIjKTM+1YoH0GWlAywH62+2dU/RrPErJn5SKfAAEDCr4uKTT0qQUADy6r1kWBOD8H/qHKpZ3OVmaIvUrQ3T3hsqblAIAh8oxW6VZzMoXExODY8eOISQkBM7Ozrh06RKmTZuG5ORkxMfHw8bGBuvXr4e1tTVatGgBAPj1118xbdo0rF69GoMGiQ/B4cOH8cILL2DevHl4+eWXsWnTJnz66ac4ceIEmjYVs5Dz58/HvHnzsH79evj6+mLatGk4ffo0/v33X9jaitnal156CcnJyVi5ciWysrIwaNAgtGrVChs3bgQgzuTXsGFDdOnSBRMmTMDZs2fx7rvvYunSpRg6dKjB75uz8hERERERlaBbccCqDuJyzSDg3d0mDYeoRGjP/OjWCLh7Ln+bybcBa/v82+f6AJk6Jt2angpkPQauHhSL6BvSc0kQ8g/Nc20AjHqWEE7YBWzqA3SYJPZUnFPUmS7zzD54NxG4mwD4varp8fj0ESC3BE6sBxq9ClTVP3KpxGWmAw/vAC51AFW2ODTx29D87QIGSut95RX8PtClGElCEzMmn2HSoXyGsre3x6+//orp06cjIyMDXl5e6Nq1K6ZOnSoZ+jZ79mxcu3YNlpaW8PPzw+bNm9GzZ0/1/uDgYGzcuBFTp07F5MmTUb9+fWzdulWdlAKAjz/+GBkZGRg6dChSU1MREhKC3bt3q5NSALBhwwaMGjUKnTt3hlwuR48ePbB8+XL1foVCgT///BMjR45EQEAAXF1dERkZaVRSioiIiIiISph3C83yc2+aLg6i0uDWCBh5BMh8CMytrtmeN5GjTVdSCsifYJp0E7CyFxNAbg0BuY6hrvG/SteHHQTcG2vW/bpJY5FbiokbQGwX+B7g308slF6Q3ERc50igWn1gy0BAyNHst3YAnj7UrO8aLyba9A17LKpPq4vX6fEt8EuEuK3W88C1Q4Ydrysp5d0S6PMjUMVN92dcQZlFj6nKij2miIiIiIhK2LpXgKsHgPEXAQc3U0dDVHzRK4A/Jouz/OUWVNfuRVVQYuq7cODyPuOvOT1V7I3022jd+z2biYmpgmTcBzb3E2fCdGug2Z6ZDswtgcLw2j66JE5mUFJi1wO/fWD8cd0/B7a/r3//e/sBr+ZFj6scMSafwcRUOcbEFBERERFRCVOpgJxMwMrO1JEQlZ7cxNTzo4EXZ+lv9ygFWOBbCtcvIBlmqJwscXa+1Z2Lf66IvwCf1sU/Ty7txJ8hun8OtOyv+/jIB5ohiBWIMfmMivfuiYiIiIiI9JHLmZSiiq/nGqDxa0DnGQW3s3cBOk4FHKsD0+7l3//q8vzbCjP5lvHH6GJhBdg6adZtnYCJ/4m9HV9dptnu3hgYdx748F+gRT89Jyvh/jjNemktvwmMTRCHEOaqGST20pqe+qzYfH/p8ROvi1+7LaqQSSljscdUOcYeU0RERERERFRmFjUAHiaLyyOPiUPsMu4BC+vqP6bPJuDH3uKy3ytA7w0lF48giLPYJZ8FJlwF7AyY5T77KZB0BljdSbPNuwUw9O+Si+uXIcCZn8Ti5MHPhublDqkExOScdZWSu54ZqnDFz4mIiIiIiIiolL13ALhxFGjYTVN8u4qrZmhecjzwVbC43PdnoHaI2APRuqpYgPzN70s2HpkMGG5gMfFcltZAjQCxh9WTVHHbrbiSjevMT+JXuZVmW5uhwJ5ZYm+pSp6UMhZ7TJVj7DFFREREREREVETatZy6LQKcfQHX+oBzraKdT5UDyOSaWQu9WwJDi1A8vhJgjykiIiIiIiIiqtzaDAWOrhKXd43XbO+zGfBtZ1zPpuxMYI67dJuDR/FjJCamiIiIiIiIiKgC6rZQk5jS9uNb0vUpSYVPipA3KQUAIWOKHBppMDFFRERERERERJXXJ57i1xdnA9UDgJptNTW2AODX93QfZ8OSOyWBiSkiIiIiIiIiqhwadgMSd+neFzVNszw8GtjUB3hwVf+5LKxLNLTKiokpIiIiIiIiIqqYhh/WzCQIAH1+1CznZAGzXXUf91VQ4ed+ml682AgAIDd1AEREREREREREpcKjif59FlbAjDRg7DnDztX7R+C9/Zr1qt7Fi40AsMcUEREREREREVVkA34D1r8KDN6re7+jNzDhKjC/tmbbCxMAnzZAvVBp27QbmmUr25KOtFJiYoqIiIiIiIiIKi7f9mLPqILYOQNjE4AbxwC/VwC5ngFm2nWlBFXJxViJMTFFREREREREROToBTTuXnCbKm5Ak9cBmVxMZlGxMTFFRERERERERGQImQzotc7UUVQoLH5OREREREREREQmwcQUERERERERERGZBBNTRERERERERERkEkxMERERERERERGRSTAxRUREREREREREJsHEFBERERERERERmQQTU0REREREREREZBJMTBERERERERERkUkwMUVERERERERERCbBxBQREREREREREZkEE1NERERERERERGQSlqYOgPQTBAEAoFQqTRwJEREREREREZFhcvMYuXmNgjAxVY6lp6cDAHx8fEwcCRERERERERGRcdLT06FQKApsIxMMSV+RSahUKty6dQtVq1aFTCYzdThGUyqV8PHxwX///QdHR0dTh0PFxPtZ8fCeViy8nxUP72nFwvtZ8fCeViy8nxUP76lpCYKA9PR0eHt7Qy4vuIoUe0yVY3K5HDVq1DB1GMXm6OjIHwQVCO9nxcN7WrHwflY8vKcVC+9nxcN7WrHwflY8vKemU1hPqVwsfk5ERERERERERCbBxBQREREREREREZkEE1NUamxsbDB9+nTY2NiYOhQqAbyfFQ/vacXC+1nx8J5WLLyfFQ/vacXC+1nx8J6aDxY/JyIiIiIiIiIik2CPKSIiIiIiIiIiMgkmpoiIiIiIiIiIyCSYmCIiIiIiIiIiIpNgYqoSmjt3Llq3bo2qVavC3d0d4eHhSExMlLR58uQJRo4ciWrVqsHBwQE9evRAcnKyev+pU6fQp08f+Pj4wM7ODo0aNcKyZcsk5/j111/x4osvws3NDY6OjggKCsIff/xRaHyCICAyMhJeXl6ws7NDaGgoLly4IGnzySefIDg4GPb29nBycir6h2HmzP1e/v3335DJZDpfx44dK+anY57K6p4ePHgQzz//PKpVqwY7Ozv4+flh6dKlhcbH59M45n4/+YzmV1b3VNuhQ4dgaWkJf3//QuPjM2occ7+ffEZ1K6v7qu/zT0pKKjA+PqeGM/d7yWc0v7L8uZuZmYkpU6agVq1asLGxQe3atbFmzZpCY1yxYgVq164NW1tbBAYG4ujRo5L9q1atQocOHeDo6AiZTIbU1NSifRikIVClExYWJqxdu1Y4e/ascPLkSaFbt25CzZo1hYcPH6rbDBs2TPDx8RH27NkjHD9+XGjbtq0QHBys3v/tt98KH3zwgfD3338Lly5dEr7//nvBzs5O+Pzzz9VtRo8eLcyfP184evSocP78eWHSpEmClZWVcOLEiQLjmzdvnqBQKIStW7cKp06dErp37y74+voKjx8/VreJjIwUlixZIowdO1ZQKBQl9+GYGXO/l5mZmcLt27clr8GDBwu+vr6CSqUq4U/LPJTVPT1x4oSwceNG4ezZs8KVK1eE77//XrC3txe+/vrrAuPj82kcc7+ffEbzK6t7muvBgwdCnTp1hC5dugjNmzcvND4+o8Yx9/vJZ1S3srqv+/btEwAIiYmJknuQk5NTYHx8Tg1n7veSz2h+Zflzt3v37kJgYKAQFRUlXLlyRTh8+LBw8ODBAuPbtGmTYG1tLaxZs0aIj48XhgwZIjg5OQnJycnqNkuXLhXmzp0rzJ07VwAgPHjwoGQ+nEqMiSkS7ty5IwAQ/vnnH0EQBCE1NVWwsrIStmzZom5z7tw5AYAQHR2t9zwjRowQOnbsWOC1GjduLMycOVPvfpVKJXh6egoLFy5Ub0tNTRVsbGyEH3/8MV/7tWvXVup/rPMy53spCILw9OlTwc3NTZg1a1aB165MyvKevv7660K/fv307ufzWXzmfD8Fgc+oLqV9T9966y1h6tSpwvTp0wtNZPAZLT5zvp+CwGdUn9K6r7nJDGP+KOVzWjzmfC8Fgc+oLqV1T3///XdBoVAI9+/fNyqeNm3aCCNHjlSv5+TkCN7e3sLcuXPztS3K9w3pxqF8hLS0NACAi4sLACA2NhZZWVkIDQ1Vt/Hz80PNmjURHR1d4Hlyz6GLSqVCenp6gW2uXLmCpKQkybUVCgUCAwMLvDaJzP1ebt++Hffv38egQYP0nreyKat7GhcXh8OHD+OFF17Q24bPZ/GZ+/3kM5pfad7TtWvX4vLly5g+fbpBsfAZLT5zv598RnUr7Z+9/v7+8PLywosvvohDhw4VGAuf0+Ix93vJZzS/0rqn27dvR6tWrbBgwQJUr14dDRo0wPjx4/H48WO953j69CliY2Ml15bL5QgNDeXzWcosTR0AmZZKpcKYMWPw/PPPo2nTpgCApKQkWFtb5xvP7uHhoXec9eHDh7F582bs3LlT77UWLVqEhw8f4s0339TbJvf8Hh4eBl+bRBXhXn777bcICwtDjRo19J63MimLe1qjRg3cvXsX2dnZmDFjBgYPHqw3Hj6fxVMR7iefUanSvKcXLlzAxIkTceDAAVhaGvbrGp/R4qkI95PPaH6leV+9vLywcuVKtGrVCpmZmVi9ejU6dOiAmJgYtGzZUud5+JwWXUW4l3xGpUrznl6+fBkHDx6Era0t/ve//+HevXsYMWIE7t+/j7Vr1+o8z71795CTk6PzniYkJBTjnVJh2GOqkhs5ciTOnj2LTZs2FfkcZ8+exWuvvYbp06ejS5cuOtts3LgRM2fOxE8//QR3d3cAwIYNG+Dg4KB+HThwoMgxkPnfyxs3buCPP/5AREREkeOvaMrinh44cADHjx/HypUr8dlnn+HHH38EwOezNJj7/eQzml9p3dOcnBy8/fbbmDlzJho0aKDzOD6jJc/c7yefUd1K82dvw4YN8d577yEgIADBwcFYs2YNgoOD1ZNP8DktWeZ+L/mM5lea91SlUkEmk2HDhg1o06YNunXrhiVLlmD9+vV4/PgxDhw4ILmnGzZsKIm3REXEHlOV2KhRo7Bjxw7s379fkrX39PTE06dPkZqaKslUJycnw9PTU3KOf//9F507d8bQoUMxdepUndfZtGkTBg8ejC1btki6RXbv3h2BgYHq9erVq+P27dvqa3l5eUmubcjsNZVVRbiXa9euRbVq1dC9e3ej3ntFVVb31NfXFwDQrFkzJCcnY8aMGejTpw+fzxJWEe4nn1Gp0ryn6enpOH78OOLi4jBq1CgA4i/YgiDA0tISf/75J5/RElYR7ief0fzK6mevtjZt2uDgwYMA+LtuSaoI95LPqFRp31MvLy9Ur14dCoVCva1Ro0YQBAE3btxAq1atcPLkSfU+Dw8P2NjYwMLCQjIDoL5rUwkzcY0rMgGVSiWMHDlS8Pb2Fs6fP59vf27BuZ9//lm9LSEhIV/BubNnzwru7u7CRx99pPdaGzduFGxtbYWtW7caHJunp6ewaNEi9ba0tDQWhNSjotxLlUol+Pr6CuPGjTPo3BVZWd7TvGbOnCnUqlWrwNj4fBqnotxPPqMaZXFPc3JyhDNnzkhew4cPFxo2bCicOXNGMnNR3tj4jBqnotxPPqNSpvzZGxoaKrz++usFxsbn1HAV5V7yGdUoq3v69ddfC3Z2dkJ6erp629atWwW5XC48evRIb3xt2rQRRo0apV7PyckRqlevzuLnpYyJqUpo+PDhgkKhEP7++2/J1KXaD+iwYcOEmjVrCnv37hWOHz8uBAUFCUFBQer9Z86cEdzc3IR+/fpJznHnzh11mw0bNgiWlpbCihUrJG1SU1MLjG/evHmCk5OTsG3bNuH06dPCa6+9lm8K3WvXrglxcXHCzJkzBQcHByEuLk6Ii4uT/OCpDCrCvRQEQfjrr78EAMK5c+dK6JMxX2V1T7/44gth+/btwvnz54Xz588Lq1evFqpWrSpMmTKlwPj4fBqnItxPQeAzqq2s7mlehsziJgh8Ro1VEe6nIPAZzaus7uvSpUuFrVu3ChcuXBDOnDkjjB49WpDL5cJff/1VYHx8Tg1XEe6lIPAZ1VZW9zQ9PV2oUaOG0LNnTyE+Pl74559/hPr16wuDBw8uML5NmzYJNjY2wrp164R///1XGDp0qODk5CQkJSWp29y+fVuIi4sTvvnmGwGAsH//fiEuLs7oGQBJg4mpSgiAztfatWvVbR4/fiyMGDFCcHZ2Fuzt7YXXX39duH37tnr/9OnTdZ5D+3/nX3jhBZ1tBgwYUGB8KpVKmDZtmuDh4SHY2NgInTt3FhITEyVtBgwYoPPc+/btK4FPyHxUhHspCILQp08fITg4uLgfR4VQVvd0+fLlQpMmTQR7e3vB0dFRaNGihfDll18KOTk5BcbH59M4FeF+CgKfUW1ldU/zMjSRwWfUOBXhfgoCn9G8yuq+zp8/X6hbt65ga2sruLi4CB06dBD27t1baHx8Tg1XEe6lIPAZ1VaWP3fPnTsnhIaGCnZ2dkKNGjWEsWPHFthbKtfnn38u1KxZU7C2thbatGkjHDlyRLJf3/W13wMZRyYIggAiIiIiIiIiIqIyxln5iIiIiIiIiIjIJJiYIiIiIiIiIiIik2BiioiIiIiIiIiITIKJKSIiIiIiIiIiMgkmpoiIiIiIiIiIyCSYmCIiIiIiIiIiIpNgYoqIiIiIiIiIiEyCiSkiIiIiIiIiIjIJJqaIiIiIKqiBAwciPDzc1GEQERER6WVp6gCIiIiIyHgymazA/dOnT8eyZcsgCEIZRURERERkPCamiIiIiMzQ7du31cubN29GZGQkEhMT1dscHBzg4OBgitCIiIiIDMahfERERERmyNPTU/1SKBSQyWSSbQ4ODvmG8nXo0AHvv/8+xowZA2dnZ3h4eOCbb75BRkYGBg0ahKpVq6JevXr4/fffJdc6e/YsXnrpJTg4OMDDwwPvvPMO7t27V8bvmIiIiCoiJqaIiIiIKpH169fD1dUVR48exfvvv4/hw4ejV69eCA4OxokTJ9ClSxe88847ePToEQAgNTUVnTp1QosWLXD8+HHs3r0bycnJePPNN038ToiIiKgiYGKKiIiIqBJp3rw5pk6divr162PSpEmwtbWFq6srhgwZgvr16yMyMhL379/H6dOnAQBffPEFWrRogU8//RR+fn5o0aIF1qxZg3379uH8+fMmfjdERERk7lhjioiIiKgSee6559TLFhYWqFatGpo1a6be5uHhAQC4c+cOAODUqVPYt2+fznpVly5dQoMGDUo5YiIiIqrImJgiIiIiqkSsrKwk6zKZTLItd7Y/lUoFAHj48CFeffVVzJ8/P9+5vLy8SjFSIiIiqgyYmCIiIiIivVq2bIlffvkFtWvXhqUlf3UkIiKiksUaU0RERESk18iRI5GSkoI+ffrg2LFjuHTpEv744w8MGjQIOTk5pg6PiIiIzBwTU0RERESkl7e3Nw4dOoScnBx06dIFzZo1w5gxY+Dk5AS5nL9KEhERUfHIBEEQTB0EERERERERERFVPvxvLiIiIiIiIiIiMgkmpoiIiIiIiIiIyCSYmCIiIiIiIiIiIpNgYoqIiIiIiIiIiEyCiSkiIiIiIiIiIjIJJqaIiIiIiIiIiMgkmJgiIiIiIiIiIiKTYGKKiIiIiIiIiIhMgokpIiIiIiIiIiIyCSamiIiIiIiIiIjIJJiYIiIiIiIiIiIik2BiioiIiIiIiIiITOL/O36oTXpCbHUAAAAASUVORK5CYII=",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"from pathlib import Path\n",
"from IPython.display import display\n",
"\n",
"# ============================================================\n",
"# Part 4 — Performance with market returns + rebalancing costs\n",
"# ============================================================\n",
"\n",
"# ----------------------------\n",
"# User config\n",
"# ----------------------------\n",
"INTERVAL = \"1h\"\n",
"INITIAL_CAPITAL = 10_000.0\n",
"ABSOLUTE_GROSS_CAP = 100_000.0\n",
"LEVERAGE_LIMIT = 10.0\n",
"\n",
"PART1_DIR = Path(\"part1_binance_data\")\n",
"PART2_DIR = Path(\"part2_strategies\")\n",
"PART3_DIR = Path(\"part3_transaction_costs\")\n",
"OUTDIR = Path(\"part4_performance\")\n",
"OUTDIR.mkdir(parents=True, exist_ok=True)\n",
"\n",
"EXPOSURE_MODES = [\"fixed_100k_cap\", \"equity_protected_cap\"]\n",
"PRIMARY_MODE = \"fixed_100k_cap\" # main interpretation to emphasize in plots/tables\n",
"\n",
"SLIPPAGE_SCOPE = \"global_all_strategies_turnover_weighted\" # from Part 3\n",
"MAKE_PLOTS = True\n",
"\n",
"# ----------------------------\n",
"# Helpers\n",
"# ----------------------------\n",
"def interval_to_timedelta(interval: str) -> pd.Timedelta:\n",
" n, unit = int(interval[:-1]), interval[-1]\n",
" if unit == \"m\":\n",
" return pd.Timedelta(minutes=n)\n",
" if unit == \"h\":\n",
" return pd.Timedelta(hours=n)\n",
" if unit == \"d\":\n",
" return pd.Timedelta(days=n)\n",
" if unit == \"w\":\n",
" return pd.Timedelta(weeks=n)\n",
" raise ValueError(f\"Unsupported interval: {interval}\")\n",
"\n",
"BAR_DT = interval_to_timedelta(INTERVAL)\n",
"BARS_PER_YEAR = float(pd.Timedelta(days=365) / BAR_DT)\n",
"\n",
"def load_saved_frame(directory: Path, stem: str, interval: str) -> pd.DataFrame:\n",
" pq = directory / f\"{stem}_{interval}.parquet\"\n",
" h5 = directory / f\"{stem}_{interval}.h5\"\n",
" csv = directory / f\"{stem}_{interval}.csv\"\n",
" if pq.exists():\n",
" df = pd.read_parquet(pq)\n",
" elif h5.exists():\n",
" df = pd.read_hdf(h5, key=\"data\")\n",
" elif csv.exists():\n",
" df = pd.read_csv(csv)\n",
" else:\n",
" raise FileNotFoundError(f\"Could not find {pq.name}, {h5.name}, or {csv.name} in {directory}.\")\n",
" for c in df.columns:\n",
" if \"time\" in c.lower() or c.lower() == \"date\":\n",
" try:\n",
" df[c] = pd.to_datetime(df[c], utc=True)\n",
" except Exception:\n",
" pass\n",
" return df\n",
"\n",
"def safe_save(df: pd.DataFrame, stem: str):\n",
" csv = OUTDIR / f\"{stem}.csv\"\n",
" df.to_csv(csv, index=False)\n",
" return csv\n",
"\n",
"def sharpe_ratio(ret: pd.Series, bars_per_year: float) -> float:\n",
" r = pd.Series(ret).dropna().astype(float)\n",
" if len(r) < 2:\n",
" return np.nan\n",
" sd = float(r.std(ddof=0))\n",
" if not np.isfinite(sd) or sd == 0:\n",
" return np.nan\n",
" return np.sqrt(bars_per_year) * float(r.mean()) / sd\n",
"\n",
"def sortino_ratio(ret: pd.Series, bars_per_year: float) -> float:\n",
" r = pd.Series(ret).dropna().astype(float)\n",
" if len(r) < 2:\n",
" return np.nan\n",
" downside = np.minimum(r.values, 0.0)\n",
" downside_dev = np.sqrt(np.mean(downside**2))\n",
" if not np.isfinite(downside_dev) or downside_dev == 0:\n",
" return np.nan\n",
" return np.sqrt(bars_per_year) * float(r.mean()) / downside_dev\n",
"\n",
"def max_drawdown(equity: pd.Series):\n",
" eq = pd.Series(equity).astype(float)\n",
" running_max = eq.cummax()\n",
" dd = eq / running_max - 1.0\n",
" mdd = float(-dd.min()) if len(dd) else np.nan\n",
" return mdd, dd\n",
"\n",
"def annualized_return(initial_capital: float, end_equity: float, n_bars: int, bars_per_year: float, fallback_mean_ret: float = np.nan) -> float:\n",
" if n_bars <= 0:\n",
" return np.nan\n",
" years = n_bars / bars_per_year\n",
" if initial_capital > 0 and end_equity > 0 and years > 0:\n",
" return (end_equity / initial_capital) ** (1.0 / years) - 1.0\n",
" if np.isfinite(fallback_mean_ret):\n",
" return fallback_mean_ret * bars_per_year\n",
" return np.nan\n",
"\n",
"def calmar_ratio(initial_capital: float, equity: pd.Series, ret: pd.Series, bars_per_year: float):\n",
" mdd, dd = max_drawdown(equity)\n",
" ann_ret = annualized_return(\n",
" initial_capital=initial_capital,\n",
" end_equity=float(pd.Series(equity).iloc[-1]),\n",
" n_bars=max(len(pd.Series(equity)) - 1, 1),\n",
" bars_per_year=bars_per_year,\n",
" fallback_mean_ret=float(pd.Series(ret).dropna().mean()) if len(pd.Series(ret).dropna()) else np.nan,\n",
" )\n",
" if not np.isfinite(mdd) or mdd <= 0:\n",
" return np.nan, ann_ret, dd\n",
" return ann_ret / mdd, ann_ret, dd\n",
"\n",
"def approx_holding_horizon(avg_gross_exposure: float, avg_turnover_per_bar: float, bar_dt: pd.Timedelta):\n",
" # With turnover measured as Σ|Δθ|, a rough round-trip holding period is:\n",
" # H ≈ 2 * average gross exposure / average turnover per bar\n",
" if not np.isfinite(avg_turnover_per_bar) or avg_turnover_per_bar <= 0:\n",
" return np.nan, np.nan\n",
" bars = 2.0 * avg_gross_exposure / avg_turnover_per_bar\n",
" days = bars * (bar_dt / pd.Timedelta(days=1))\n",
" return float(bars), float(days)\n",
"\n",
"def choose_slippage_scalar():\n",
" # Prefer in-memory value from Part 3 if available\n",
" if \"s_base\" in globals():\n",
" try:\n",
" val = float(s_base)\n",
" if np.isfinite(val) and val >= 0:\n",
" return val, \"in_memory_s_base\"\n",
" except Exception:\n",
" pass\n",
"\n",
" # Otherwise use saved Part 3 scalar summary\n",
" if \"scalar_summary\" in globals() and isinstance(scalar_summary, pd.DataFrame):\n",
" ss = scalar_summary.copy()\n",
" else:\n",
" ss = load_saved_frame(PART3_DIR, \"slippage_scalar_summary\", INTERVAL)\n",
"\n",
" if \"scope\" in ss.columns and \"s_decimal\" in ss.columns:\n",
" hit = ss.loc[ss[\"scope\"] == SLIPPAGE_SCOPE, \"s_decimal\"]\n",
" if len(hit):\n",
" val = float(pd.to_numeric(hit, errors=\"coerce\").iloc[0])\n",
" if np.isfinite(val) and val >= 0:\n",
" return val, SLIPPAGE_SCOPE\n",
"\n",
" hit = ss[\"s_decimal\"].dropna()\n",
" if len(hit):\n",
" val = float(pd.to_numeric(hit, errors=\"coerce\").iloc[0])\n",
" if np.isfinite(val) and val >= 0:\n",
" return val, \"first_available_scope\"\n",
"\n",
" raise ValueError(\"Could not determine slippage scalar s from Part 3.\")\n",
"\n",
"def run_performance(theta_base: pd.DataFrame, returns: pd.DataFrame, strategy_name: str, s_decimal: float, exposure_mode: str):\n",
" theta_base = theta_base.reindex(index=returns.index, columns=returns.columns).fillna(0.0).astype(float)\n",
" base_gross = theta_base.abs().sum(axis=1)\n",
" if float(base_gross.max()) > ABSOLUTE_GROSS_CAP + 1e-6:\n",
" raise ValueError(f\"Part 2 base positions violate the $100k gross cap for strategy {strategy_name}.\")\n",
"\n",
" idx = returns.index\n",
" cols = returns.columns\n",
" T, N = returns.shape\n",
"\n",
" theta_eff = np.zeros((T, N), dtype=float)\n",
" trade_abs = np.zeros((T, N), dtype=float)\n",
" gross_limit_arr = np.zeros(T, dtype=float)\n",
" gross_exposure_arr = np.zeros(T, dtype=float)\n",
" net_exposure_arr = np.zeros(T, dtype=float)\n",
" unused_gross_capacity_arr = np.zeros(T, dtype=float)\n",
" turnover_arr = np.zeros(T, dtype=float)\n",
" cost_arr = np.zeros(T, dtype=float)\n",
" gross_pnl_arr = np.zeros(T, dtype=float)\n",
" net_pnl_arr = np.zeros(T, dtype=float)\n",
" equity_gross_arr = np.zeros(T, dtype=float)\n",
" equity_net_arr = np.zeros(T, dtype=float)\n",
"\n",
" theta_prev = np.zeros(N, dtype=float)\n",
" r_prev = np.zeros(N, dtype=float)\n",
" eq_gross_prev = INITIAL_CAPITAL\n",
" eq_net_prev = INITIAL_CAPITAL\n",
"\n",
" if exposure_mode == \"fixed_100k_cap\":\n",
" logic_text = (\n",
" \"Use Part 2 notionals directly. Profits/losses remain in equity (cash), \"\n",
" \"but target notionals are not rescaled after gains/losses. Absolute gross cap stays $100k.\"\n",
" )\n",
" elif exposure_mode == \"equity_protected_cap\":\n",
" logic_text = (\n",
" \"Scale Part 2 notionals each bar by min(1, 10 × lagged net equity / 100000). \"\n",
" \"This scales down after losses to keep leverage near 10x current equity, \"\n",
" \"but never scales above the $100k absolute cap.\"\n",
" )\n",
" else:\n",
" raise ValueError(f\"Unknown exposure_mode: {exposure_mode}\")\n",
"\n",
" for t, ts in enumerate(idx):\n",
" r_t = np.nan_to_num(returns.iloc[t].values.astype(float), nan=0.0)\n",
"\n",
" # Choose gross limit / scaling for this bar using lagged net equity\n",
" if exposure_mode == \"fixed_100k_cap\":\n",
" gross_limit_t = ABSOLUTE_GROSS_CAP\n",
" scale_t = 1.0\n",
" else:\n",
" gross_limit_t = min(ABSOLUTE_GROSS_CAP, LEVERAGE_LIMIT * max(eq_net_prev, 0.0))\n",
" scale_t = gross_limit_t / ABSOLUTE_GROSS_CAP if ABSOLUTE_GROSS_CAP > 0 else 0.0\n",
"\n",
" target_theta = theta_base.iloc[t].values.astype(float) * scale_t\n",
"\n",
" # Safety re-projection in case of numerical drift\n",
" gross_now = np.sum(np.abs(target_theta))\n",
" if gross_now > gross_limit_t and gross_now > 0:\n",
" target_theta *= gross_limit_t / gross_now\n",
" gross_now = gross_limit_t\n",
"\n",
" drifted_prev = theta_prev * (1.0 + r_prev)\n",
" trade_t = np.abs(target_theta - drifted_prev)\n",
" turnover_t = float(np.sum(trade_t))\n",
" cost_t = float(s_decimal * turnover_t)\n",
"\n",
" gross_pnl_t = float(np.sum(target_theta * r_t))\n",
" net_pnl_t = gross_pnl_t - cost_t\n",
"\n",
" eq_gross_prev = eq_gross_prev + gross_pnl_t\n",
" eq_net_prev = eq_net_prev + net_pnl_t\n",
"\n",
" theta_eff[t, :] = target_theta\n",
" trade_abs[t, :] = trade_t\n",
" gross_limit_arr[t] = gross_limit_t\n",
" gross_exposure_arr[t] = float(np.sum(np.abs(target_theta)))\n",
" net_exposure_arr[t] = float(np.sum(target_theta))\n",
" unused_gross_capacity_arr[t] = float(gross_limit_t - gross_exposure_arr[t])\n",
" turnover_arr[t] = turnover_t\n",
" cost_arr[t] = cost_t\n",
" gross_pnl_arr[t] = gross_pnl_t\n",
" net_pnl_arr[t] = net_pnl_t\n",
" equity_gross_arr[t] = eq_gross_prev\n",
" equity_net_arr[t] = eq_net_prev\n",
"\n",
" theta_prev = target_theta.copy()\n",
" r_prev = r_t.copy()\n",
"\n",
" theta_eff_df = pd.DataFrame(theta_eff, index=idx, columns=cols)\n",
" trade_abs_df = pd.DataFrame(trade_abs, index=idx, columns=cols)\n",
"\n",
" ts_df = pd.DataFrame({\n",
" \"open_time\": idx,\n",
" \"strategy\": strategy_name,\n",
" \"exposure_mode\": exposure_mode,\n",
" \"gross_limit_usdt\": gross_limit_arr,\n",
" \"gross_exposure_usdt\": gross_exposure_arr,\n",
" \"net_exposure_usdt\": net_exposure_arr,\n",
" \"unused_gross_capacity_usdt\": unused_gross_capacity_arr,\n",
" \"turnover_usdt\": turnover_arr,\n",
" \"cost_usdt\": cost_arr,\n",
" \"gross_pnl_usdt\": gross_pnl_arr,\n",
" \"net_pnl_usdt\": net_pnl_arr,\n",
" \"equity_gross_usdt\": equity_gross_arr,\n",
" \"equity_net_usdt\": equity_net_arr,\n",
" }).set_index(\"open_time\")\n",
"\n",
" lag_eq_gross = ts_df[\"equity_gross_usdt\"].shift(1).fillna(INITIAL_CAPITAL)\n",
" lag_eq_net = ts_df[\"equity_net_usdt\"].shift(1).fillna(INITIAL_CAPITAL)\n",
"\n",
" ts_df[\"gross_return_on_initial_capital\"] = ts_df[\"gross_pnl_usdt\"] / INITIAL_CAPITAL\n",
" ts_df[\"net_return_on_initial_capital\"] = ts_df[\"net_pnl_usdt\"] / INITIAL_CAPITAL\n",
"\n",
" ts_df[\"gross_portfolio_return\"] = np.where(lag_eq_gross > 0, ts_df[\"gross_pnl_usdt\"] / lag_eq_gross, np.nan)\n",
" ts_df[\"net_portfolio_return\"] = np.where(lag_eq_net > 0, ts_df[\"net_pnl_usdt\"] / lag_eq_net, np.nan)\n",
"\n",
" ts_df[\"cum_gross_pnl_usdt\"] = ts_df[\"gross_pnl_usdt\"].cumsum()\n",
" ts_df[\"cum_net_pnl_usdt\"] = ts_df[\"net_pnl_usdt\"].cumsum()\n",
" ts_df[\"cum_gross_return_pct_on_initial\"] = 100.0 * (ts_df[\"equity_gross_usdt\"] / INITIAL_CAPITAL - 1.0)\n",
" ts_df[\"cum_net_return_pct_on_initial\"] = 100.0 * (ts_df[\"equity_net_usdt\"] / INITIAL_CAPITAL - 1.0)\n",
"\n",
" mdd_gross, dd_gross = max_drawdown(ts_df[\"equity_gross_usdt\"])\n",
" mdd_net, dd_net = max_drawdown(ts_df[\"equity_net_usdt\"])\n",
" ts_df[\"drawdown_gross\"] = dd_gross.values\n",
" ts_df[\"drawdown_net\"] = dd_net.values\n",
"\n",
" gross_ret = ts_df[\"gross_portfolio_return\"]\n",
" net_ret = ts_df[\"net_portfolio_return\"]\n",
"\n",
" sharpe_gross = sharpe_ratio(gross_ret, BARS_PER_YEAR)\n",
" sharpe_net = sharpe_ratio(net_ret, BARS_PER_YEAR)\n",
" sortino_gross = sortino_ratio(gross_ret, BARS_PER_YEAR)\n",
" sortino_net = sortino_ratio(net_ret, BARS_PER_YEAR)\n",
" calmar_gross, ann_gross, _ = calmar_ratio(INITIAL_CAPITAL, ts_df[\"equity_gross_usdt\"], gross_ret, BARS_PER_YEAR)\n",
" calmar_net, ann_net, _ = calmar_ratio(INITIAL_CAPITAL, ts_df[\"equity_net_usdt\"], net_ret, BARS_PER_YEAR)\n",
"\n",
" avg_gross_exposure = float(ts_df[\"gross_exposure_usdt\"].mean())\n",
" avg_turnover_per_bar = float(ts_df[\"turnover_usdt\"].mean())\n",
" hold_bars, hold_days = approx_holding_horizon(avg_gross_exposure, avg_turnover_per_bar, BAR_DT)\n",
"\n",
" holding_asset = pd.DataFrame({\n",
" \"strategy\": strategy_name,\n",
" \"exposure_mode\": exposure_mode,\n",
" \"symbol\": cols,\n",
" \"avg_abs_theta_usdt\": theta_eff_df.abs().mean().values,\n",
" \"avg_turnover_per_bar_usdt\": trade_abs_df.mean().values,\n",
" })\n",
" holding_asset[\"approx_holding_horizon_bars\"] = np.where(\n",
" holding_asset[\"avg_turnover_per_bar_usdt\"] > 0,\n",
" 2.0 * holding_asset[\"avg_abs_theta_usdt\"] / holding_asset[\"avg_turnover_per_bar_usdt\"],\n",
" np.nan\n",
" )\n",
" holding_asset[\"approx_holding_horizon_days\"] = holding_asset[\"approx_holding_horizon_bars\"] * (BAR_DT / pd.Timedelta(days=1))\n",
"\n",
" nonpos_idx = ts_df.index[ts_df[\"equity_net_usdt\"] <= 0]\n",
" first_nonpos = nonpos_idx.min() if len(nonpos_idx) else pd.NaT\n",
"\n",
" summary_row = {\n",
" \"strategy\": strategy_name,\n",
" \"exposure_mode\": exposure_mode,\n",
" \"logic_description\": logic_text,\n",
" \"s_decimal\": float(s_decimal),\n",
" \"s_bps\": 1e4 * float(s_decimal),\n",
" \"initial_capital_usdt\": INITIAL_CAPITAL,\n",
" \"absolute_gross_cap_usdt\": ABSOLUTE_GROSS_CAP,\n",
" \"gross_total_pnl_usdt\": float(ts_df[\"gross_pnl_usdt\"].sum()),\n",
" \"net_total_pnl_usdt\": float(ts_df[\"net_pnl_usdt\"].sum()),\n",
" \"total_cost_usdt\": float(ts_df[\"cost_usdt\"].sum()),\n",
" \"gross_end_equity_usdt\": float(ts_df[\"equity_gross_usdt\"].iloc[-1]),\n",
" \"net_end_equity_usdt\": float(ts_df[\"equity_net_usdt\"].iloc[-1]),\n",
" \"gross_return_pct_on_initial\": 100.0 * (float(ts_df[\"equity_gross_usdt\"].iloc[-1]) / INITIAL_CAPITAL - 1.0),\n",
" \"net_return_pct_on_initial\": 100.0 * (float(ts_df[\"equity_net_usdt\"].iloc[-1]) / INITIAL_CAPITAL - 1.0),\n",
" \"total_turnover_usdt\": float(ts_df[\"turnover_usdt\"].sum()),\n",
" \"avg_turnover_per_bar_usdt\": avg_turnover_per_bar,\n",
" \"avg_gross_exposure_usdt\": avg_gross_exposure,\n",
" \"avg_abs_net_exposure_usdt\": float(ts_df[\"net_exposure_usdt\"].abs().mean()),\n",
" \"avg_unused_gross_capacity_usdt\": float(ts_df[\"unused_gross_capacity_usdt\"].mean()),\n",
" \"avg_holding_horizon_bars\": hold_bars,\n",
" \"avg_holding_horizon_days\": hold_days,\n",
" \"annualized_return_gross\": float(ann_gross) if np.isfinite(ann_gross) else np.nan,\n",
" \"annualized_return_net\": float(ann_net) if np.isfinite(ann_net) else np.nan,\n",
" \"sharpe_gross\": float(sharpe_gross) if np.isfinite(sharpe_gross) else np.nan,\n",
" \"sharpe_net\": float(sharpe_net) if np.isfinite(sharpe_net) else np.nan,\n",
" \"sortino_gross\": float(sortino_gross) if np.isfinite(sortino_gross) else np.nan,\n",
" \"sortino_net\": float(sortino_net) if np.isfinite(sortino_net) else np.nan,\n",
" \"calmar_gross\": float(calmar_gross) if np.isfinite(calmar_gross) else np.nan,\n",
" \"calmar_net\": float(calmar_net) if np.isfinite(calmar_net) else np.nan,\n",
" \"max_drawdown_gross_pct\": 100.0 * float(mdd_gross) if np.isfinite(mdd_gross) else np.nan,\n",
" \"max_drawdown_net_pct\": 100.0 * float(mdd_net) if np.isfinite(mdd_net) else np.nan,\n",
" \"first_nonpositive_net_equity_time\": first_nonpos,\n",
" }\n",
"\n",
" return {\n",
" \"summary_row\": summary_row,\n",
" \"timeseries\": ts_df,\n",
" \"theta_effective\": theta_eff_df,\n",
" \"trade_abs\": trade_abs_df,\n",
" \"holding_asset\": holding_asset,\n",
" }\n",
"\n",
"# ----------------------------\n",
"# Load inputs from Parts 1–3\n",
"# ----------------------------\n",
"if \"clean_ohlcv\" in globals() and isinstance(clean_ohlcv, pd.DataFrame):\n",
" clean_df = clean_ohlcv.copy()\n",
"else:\n",
" clean_df = load_saved_frame(PART1_DIR, \"clean_ohlcv\", INTERVAL)\n",
"\n",
"if \"strategy_positions\" in globals() and isinstance(strategy_positions, pd.DataFrame):\n",
" pos_long = strategy_positions.copy()\n",
"else:\n",
" pos_long = load_saved_frame(PART2_DIR, \"strategy_positions\", INTERVAL)\n",
"\n",
"s_used, s_source = choose_slippage_scalar()\n",
"\n",
"for c in [\"open_time\", \"close_time\"]:\n",
" if c in clean_df.columns:\n",
" clean_df[c] = pd.to_datetime(clean_df[c], utc=True)\n",
"pos_long[\"open_time\"] = pd.to_datetime(pos_long[\"open_time\"], utc=True)\n",
"\n",
"for c in [\"close\"]:\n",
" if c in clean_df.columns:\n",
" clean_df[c] = pd.to_numeric(clean_df[c], errors=\"coerce\")\n",
"pos_long[\"theta_usdt\"] = pd.to_numeric(pos_long[\"theta_usdt\"], errors=\"coerce\").fillna(0.0)\n",
"\n",
"# Build market returns r_t^i from cleaned close prices\n",
"close_wide = (\n",
" clean_df.pivot(index=\"open_time\", columns=\"symbol\", values=\"close\")\n",
" .sort_index()\n",
" .astype(float)\n",
" .ffill()\n",
")\n",
"ret_wide = close_wide.pct_change().fillna(0.0)\n",
"\n",
"# Intersect symbols used in prices and strategies\n",
"symbols = sorted(set(ret_wide.columns).intersection(set(pos_long[\"symbol\"].dropna().unique())))\n",
"if len(symbols) == 0:\n",
" raise ValueError(\"No common symbols found between Part 1 prices and Part 2 positions.\")\n",
"ret_wide = ret_wide.reindex(columns=symbols)\n",
"\n",
"strategies = sorted(pos_long[\"strategy\"].dropna().unique().tolist())\n",
"if len(strategies) == 0:\n",
" raise ValueError(\"No strategies found in Part 2 positions.\")\n",
"\n",
"# ----------------------------\n",
"# Run performance for every strategy and exposure mode\n",
"# ----------------------------\n",
"summary_rows = []\n",
"ts_long = []\n",
"theta_long = []\n",
"holding_asset_rows = []\n",
"\n",
"for strat in strategies:\n",
" theta_base = (\n",
" pos_long.loc[pos_long[\"strategy\"] == strat, [\"open_time\", \"symbol\", \"theta_usdt\"]]\n",
" .pivot(index=\"open_time\", columns=\"symbol\", values=\"theta_usdt\")\n",
" .reindex(index=ret_wide.index, columns=symbols)\n",
" .fillna(0.0)\n",
" .astype(float)\n",
" )\n",
"\n",
" for mode in EXPOSURE_MODES:\n",
" out = run_performance(\n",
" theta_base=theta_base,\n",
" returns=ret_wide,\n",
" strategy_name=strat,\n",
" s_decimal=s_used,\n",
" exposure_mode=mode,\n",
" )\n",
"\n",
" summary_rows.append(out[\"summary_row\"])\n",
"\n",
" tmp_ts = out[\"timeseries\"].reset_index()\n",
" ts_long.append(tmp_ts)\n",
"\n",
" tmp_theta = out[\"theta_effective\"].stack().rename(\"theta_effective_usdt\").reset_index()\n",
" tmp_theta.columns = [\"open_time\", \"symbol\", \"theta_effective_usdt\"]\n",
" tmp_theta[\"strategy\"] = strat\n",
" tmp_theta[\"exposure_mode\"] = mode\n",
" tmp_theta[\"weight_on_absolute_gross_cap\"] = tmp_theta[\"theta_effective_usdt\"] / ABSOLUTE_GROSS_CAP\n",
" theta_long.append(tmp_theta[[\"strategy\", \"exposure_mode\", \"open_time\", \"symbol\", \"theta_effective_usdt\", \"weight_on_absolute_gross_cap\"]])\n",
"\n",
" holding_asset_rows.append(out[\"holding_asset\"])\n",
"\n",
"summary_df = pd.DataFrame(summary_rows).sort_values([\"strategy\", \"exposure_mode\"]).reset_index(drop=True)\n",
"performance_ts = pd.concat(ts_long, ignore_index=True).sort_values([\"strategy\", \"exposure_mode\", \"open_time\"]).reset_index(drop=True)\n",
"effective_positions = pd.concat(theta_long, ignore_index=True).sort_values([\"strategy\", \"exposure_mode\", \"open_time\", \"symbol\"]).reset_index(drop=True)\n",
"holding_asset_df = pd.concat(holding_asset_rows, ignore_index=True).sort_values([\"strategy\", \"exposure_mode\", \"symbol\"]).reset_index(drop=True)\n",
"\n",
"primary_mode_summary = (\n",
" summary_df.loc[summary_df[\"exposure_mode\"] == PRIMARY_MODE, [\n",
" \"strategy\", \"exposure_mode\", \"net_total_pnl_usdt\", \"net_return_pct_on_initial\",\n",
" \"total_cost_usdt\", \"total_turnover_usdt\", \"avg_holding_horizon_bars\",\n",
" \"avg_holding_horizon_days\", \"sharpe_net\", \"sortino_net\", \"calmar_net\",\n",
" \"max_drawdown_net_pct\", \"logic_description\"\n",
" ]]\n",
" .sort_values(\"strategy\")\n",
" .reset_index(drop=True)\n",
")\n",
"\n",
"# ----------------------------\n",
"# Save outputs\n",
"# ----------------------------\n",
"summary_path = safe_save(summary_df, f\"performance_summary_{INTERVAL}\")\n",
"ts_path = safe_save(performance_ts, f\"performance_timeseries_{INTERVAL}\")\n",
"theta_path = safe_save(effective_positions, f\"performance_effective_positions_{INTERVAL}\")\n",
"holding_path = safe_save(holding_asset_df, f\"performance_holding_asset_{INTERVAL}\")\n",
"primary_summary_path = safe_save(primary_mode_summary, f\"performance_primary_mode_summary_{INTERVAL}\")\n",
"\n",
"# ----------------------------\n",
"# Display key outputs\n",
"# ----------------------------\n",
"output_text = \"\\n\".join([\n",
" f\"Loaded strategies: {', '.join(strategies)}\",\n",
" f\"Loaded symbols : {', '.join(symbols)}\",\n",
" f\"Bar interval : {INTERVAL}\",\n",
" f\"Initial capital : {INITIAL_CAPITAL:,.0f} USDT\",\n",
" f\"Gross cap : {ABSOLUTE_GROSS_CAP:,.0f} USDT\",\n",
" f\"Slippage used : s = {s_used:.8f} decimal per trade = {1e4 * s_used:.4f} bps\",\n",
" f\"Slippage source : {s_source}\",\n",
" \"\",\n",
" \"Saved:\",\n",
" f\" summary -> {summary_path}\",\n",
" f\" ts -> {ts_path}\",\n",
" f\" positions -> {theta_path}\",\n",
" f\" holding -> {holding_path}\",\n",
" f\" primary_summary -> {primary_summary_path}\",\n",
"])\n",
"\n",
"print(output_text)\n",
"\n",
"text_output_path = OUTDIR / f\"performance_run_output_{INTERVAL}.txt\"\n",
"text_output_path.write_text(output_text, encoding=\"utf-8\")\n",
"\n",
"print(\"\")\n",
"print(\"Primary-mode summary:\")\n",
"display(primary_mode_summary)\n",
"\n",
"print(\"All-mode summary:\")\n",
"display(summary_df)\n",
"\n",
"print(\"Asset-level holding horizon estimate:\")\n",
"display(holding_asset_df)\n",
"\n",
"# ----------------------------\n",
"# Optional plots\n",
"# ----------------------------\n",
"if MAKE_PLOTS:\n",
" # 1) Net equity under the primary mode\n",
" plt.figure(figsize=(12, 4))\n",
" for strat in strategies:\n",
" d = performance_ts[\n",
" (performance_ts[\"strategy\"] == strat) &\n",
" (performance_ts[\"exposure_mode\"] == PRIMARY_MODE)\n",
" ].copy()\n",
" plt.plot(pd.to_datetime(d[\"open_time\"], utc=True), d[\"equity_net_usdt\"], label=strat)\n",
" plt.title(f\"Net equity by strategy ({PRIMARY_MODE})\")\n",
" plt.xlabel(\"Time\")\n",
" plt.ylabel(\"USDT\")\n",
" plt.legend()\n",
" plt.tight_layout()\n",
" plt.savefig(OUTDIR / f\"net_equity_by_strategy_{PRIMARY_MODE}_{INTERVAL}.png\", dpi=300, bbox_inches=\"tight\")\n",
" plt.show()\n",
"\n",
" # 2) Gross vs net cumulative PnL for each strategy under primary mode\n",
" for strat in strategies:\n",
" d = performance_ts[\n",
" (performance_ts[\"strategy\"] == strat) &\n",
" (performance_ts[\"exposure_mode\"] == PRIMARY_MODE)\n",
" ].copy()\n",
" plt.figure(figsize=(12, 4))\n",
" plt.plot(pd.to_datetime(d[\"open_time\"], utc=True), d[\"cum_gross_pnl_usdt\"], label=\"Gross cumulative PnL\")\n",
" plt.plot(pd.to_datetime(d[\"open_time\"], utc=True), d[\"cum_net_pnl_usdt\"], label=\"Net cumulative PnL\")\n",
" plt.title(f\"{strat}: gross vs net cumulative PnL ({PRIMARY_MODE})\")\n",
" plt.xlabel(\"Time\")\n",
" plt.ylabel(\"USDT\")\n",
" plt.legend()\n",
" plt.tight_layout()\n",
" plt.savefig(OUTDIR / f\"{strat}_gross_vs_net_cumulative_pnl_{PRIMARY_MODE}_{INTERVAL}.png\", dpi=300, bbox_inches=\"tight\")\n",
" plt.show()\n",
"\n",
" # 3) Fixed cap vs equity-protected cap comparison\n",
" for strat in strategies:\n",
" plt.figure(figsize=(12, 4))\n",
" for mode in EXPOSURE_MODES:\n",
" d = performance_ts[\n",
" (performance_ts[\"strategy\"] == strat) &\n",
" (performance_ts[\"exposure_mode\"] == mode)\n",
" ].copy()\n",
" plt.plot(pd.to_datetime(d[\"open_time\"], utc=True), d[\"equity_net_usdt\"], label=mode)\n",
" plt.title(f\"{strat}: reinvestment / cap logic comparison\")\n",
" plt.xlabel(\"Time\")\n",
" plt.ylabel(\"Net equity (USDT)\")\n",
" plt.legend()\n",
" plt.tight_layout()\n",
" plt.savefig(OUTDIR / f\"{strat}_reinvestment_cap_logic_comparison_{INTERVAL}.png\", dpi=300, bbox_inches=\"tight\")\n",
" plt.show()"
]
}
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