feat: strategy builder
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99
backend/services/option_chain.py
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99
backend/services/option_chain.py
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"""
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Real option chain fetcher for the Strategy Builder — reuses the same yfinance
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proxy/resolution logic as iv_engine.py (futures/indices → optionable ETFs).
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"""
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import logging
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import math
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from datetime import date, datetime
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from typing import Any, Dict, List, Optional
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import yfinance as yf
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from services.iv_engine import _resolve_ticker, _get_current_price
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logger = logging.getLogger(__name__)
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def _num(v: Any, default: float = 0.0) -> float:
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try:
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f = float(v)
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return default if math.isnan(f) else f
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except (TypeError, ValueError):
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return default
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def _rows_from_df(df) -> List[Dict[str, Any]]:
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rows = []
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for _, r in df.iterrows():
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bid = _num(r.get("bid"))
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ask = _num(r.get("ask"))
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rows.append({
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"strike": _num(r.get("strike")),
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"bid": bid,
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"ask": ask,
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"mid": round((bid + ask) / 2, 4) if (bid > 0 and ask > 0) else _num(r.get("lastPrice")),
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"last": _num(r.get("lastPrice")),
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"iv": _num(r.get("impliedVolatility")),
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"open_interest": int(_num(r.get("openInterest"))),
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"volume": int(_num(r.get("volume"))),
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})
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return sorted(rows, key=lambda x: x["strike"])
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def get_chain_slice(symbol: str, target_days: int = 8, n_expiries: int = 3) -> Dict[str, Any]:
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"""
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Fetch the real option chain for `symbol` around a target horizon (days).
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Returns the `n_expiries` expirations closest to target_days, each with
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normalized calls/puts rows (strike, bid, ask, mid, last, iv, open_interest, volume).
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"""
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proxy = _resolve_ticker(symbol)
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t = yf.Ticker(proxy)
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spot = _get_current_price(t)
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if not spot:
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raise ValueError(f"Impossible d'obtenir le prix spot pour {symbol} ({proxy})")
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expirations = t.options
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if not expirations:
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raise ValueError(f"Aucune chaîne d'options disponible pour {symbol} ({proxy})")
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today = date.today()
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dated = sorted(
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expirations,
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key=lambda e: abs((datetime.strptime(e, "%Y-%m-%d").date() - today).days - target_days),
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)[:max(1, n_expiries)]
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expiries_out = []
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for exp in dated:
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try:
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chain = t.option_chain(exp)
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days_to_expiry = (datetime.strptime(exp, "%Y-%m-%d").date() - today).days
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expiries_out.append({
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"expiry_date": exp,
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"days_to_expiry": days_to_expiry,
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"calls": _rows_from_df(chain.calls),
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"puts": _rows_from_df(chain.puts),
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})
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except Exception as e:
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logger.debug(f"[OptionChain] {proxy} {exp}: {e}")
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if not expiries_out:
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raise ValueError(f"Aucune chaîne exploitable pour {symbol} ({proxy})")
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return {
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"symbol": symbol.upper(),
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"proxy": proxy,
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"spot": round(float(spot), 4),
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"expiries": expiries_out,
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}
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def find_quote(chain_slice: Dict[str, Any], expiry_date: str, strike: float, option_type: str) -> Optional[Dict[str, Any]]:
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"""Look up a single contract's quote row within a previously fetched chain slice."""
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for exp in chain_slice["expiries"]:
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if exp["expiry_date"] != expiry_date:
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continue
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rows = exp["calls"] if option_type == "call" else exp["puts"]
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for row in rows:
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if abs(row["strike"] - strike) < 1e-6:
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return row
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return None
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