- Add CompositeEngine for backtesting portfolios spanning multiple markets (e.g. A-shares + crypto) with a single shared capital pool - Extract on_bar logic (funding fee, liquidation, swap) into _market_hooks.py as pure functions, called by both original engines and CompositeEngine - Fix _align() signal shift bug: shift on each symbol's own trading calendar then ffill to unified dates (prevents Monday close-and-reopen for A-shares) - Add calendar-day annualization for cross-market Sharpe calculation - Add cross-market-strategy skill with vol-adjusted weighting example - Update all READMEs (en/zh/ja/ko/ar): news, 69 skills, composite engine - Update test imports for extracted _market_hooks functions
150 lines
5.0 KiB
Python
150 lines
5.0 KiB
Python
"""Forex (FX spot / CFD) backtest engine.
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Market rules:
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- 24x5 (Mon Sydney open to Fri NYC close)
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- Spread replaces explicit commission (bid-ask)
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- Leverage: 50:1 to 500:1 (configurable)
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- Standard lot = 100,000 units of base currency
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- Swap (overnight rollover interest) at daily close
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- No price limits, no restrictions on direction
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- PnL in quote currency (converted via exit price for cross pairs)
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"""
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from __future__ import annotations
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import pandas as pd
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from backtest.engines.base import BaseEngine
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from backtest.engines._market_hooks import calc_forex_swap
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# ── Typical spreads in pips (1 pip = 0.0001 for most pairs, 0.01 for JPY) ──
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_SPREAD_PIPS: dict[str, float] = {
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# Majors
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"EUR/USD": 1.0, "GBP/USD": 1.2, "USD/JPY": 1.0, "USD/CHF": 1.3,
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"AUD/USD": 1.2, "USD/CAD": 1.5, "NZD/USD": 1.5,
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# Crosses
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"EUR/GBP": 1.5, "EUR/JPY": 1.5, "GBP/JPY": 2.5, "EUR/CHF": 1.8,
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"AUD/JPY": 2.0, "CHF/JPY": 2.5, "EUR/AUD": 2.0, "GBP/AUD": 3.0,
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"EUR/CAD": 2.5, "GBP/CAD": 3.5, "AUD/CAD": 2.5, "NZD/JPY": 2.5,
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# Exotics (wider spreads)
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"USD/TRY": 15.0, "USD/ZAR": 10.0, "USD/MXN": 8.0,
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"USD/SGD": 3.0, "USD/HKD": 3.0, "USD/CNH": 5.0,
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}
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_DEFAULT_SPREAD_PIPS = 2.0
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# Standard lot size
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STANDARD_LOT = 100_000
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def _pip_value(symbol: str) -> float:
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"""Size of 1 pip for the pair.
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Args:
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symbol: Forex pair (e.g. 'EUR/USD', 'USD/JPY').
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Returns:
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1 pip in price terms (0.0001 or 0.01 for JPY pairs).
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"""
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quote = symbol.split("/")[1] if "/" in symbol else symbol[3:6]
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return 0.01 if quote.upper() == "JPY" else 0.0001
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def _normalize_symbol(symbol: str) -> str:
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"""Normalize forex symbol to 'XXX/YYY' format.
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Args:
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symbol: Raw symbol (e.g. 'EURUSD.FX', 'EUR/USD', 'EURUSD').
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Returns:
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Normalized pair (e.g. 'EUR/USD').
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"""
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s = symbol.replace(".FX", "").replace(".", "").strip()
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if "/" in s:
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return s.upper()
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if len(s) == 6:
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return f"{s[:3]}/{s[3:]}".upper()
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return s.upper()
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class ForexEngine(BaseEngine):
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"""Forex engine for spot / CFD pairs.
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Config keys:
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- leverage: default 100.0 (100:1)
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- spread_pips_override: override spread for all pairs
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- lot_size: default 100000 (standard lot)
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- swap_enabled: default True
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- slippage_pips: additional slippage beyond spread, default 0.3
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"""
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def __init__(self, config: dict):
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config = {**config, "leverage": config.get("leverage", 100.0)}
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super().__init__(config)
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self.spread_override = config.get("spread_pips_override")
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self.lot_size: float = config.get("lot_size", STANDARD_LOT)
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self.swap_enabled: bool = config.get("swap_enabled", True)
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self.slippage_pips: float = config.get("slippage_pips", 0.3)
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self._last_swap_dates: dict = {} # per-symbol swap tracking
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def can_execute(self, symbol: str, direction: int, bar: pd.Series) -> bool:
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"""Forex: 24x5, no restrictions."""
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return True
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def round_size(self, raw_size: float, price: float) -> float:
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"""Round to micro-lot granularity (0.01 lots = 1000 units).
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Position size is in currency units (not lots) for PnL compatibility.
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Round to nearest 1000 units (micro lot).
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"""
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return max(int(raw_size / 1000) * 1000, 0)
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def calc_commission(self, size: float, price: float, direction: int, is_open: bool) -> float:
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"""Forex: spread is the cost, embedded in slippage. No explicit commission.
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Some ECN brokers charge per-lot commission; for simplicity, zero here.
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The cost is captured via apply_slippage (half-spread applied to execution).
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"""
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return 0.0
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def apply_slippage(self, price: float, direction: int) -> float:
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"""Apply half-spread + slippage using _active_symbol for correct pip/spread."""
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return self.apply_slippage_for_symbol(self._active_symbol, price, direction)
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def apply_slippage_for_symbol(self, symbol: str, price: float, direction: int) -> float:
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"""Symbol-aware slippage with correct spread.
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Args:
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symbol: Forex pair.
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price: Mid price.
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direction: 1 (buy) or -1 (sell).
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Returns:
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Slipped price.
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"""
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pair = _normalize_symbol(symbol)
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pip = _pip_value(pair)
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if self.spread_override is not None:
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spread_pips = self.spread_override
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else:
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spread_pips = _SPREAD_PIPS.get(pair, _DEFAULT_SPREAD_PIPS)
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total_pips = (spread_pips / 2) + self.slippage_pips
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return price + direction * total_pips * pip
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def on_bar(self, symbol: str, bar: pd.Series, timestamp: pd.Timestamp) -> None:
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"""Apply daily swap/rollover at end of trading day."""
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if not self.swap_enabled:
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return
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swap = calc_forex_swap(
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symbol, timestamp, self.positions,
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self.lot_size, self._last_swap_dates,
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)
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self.capital += swap
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def get_contract_multiplier(self, symbol: str) -> float:
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"""Forex: multiplier is 1.0 (size is in currency units)."""
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return 1.0
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