matitos
9dc00eba95
Trailing stops: strategies can pass trailing_stop_pct to enter_long/enter_short. advance_trailing_stop in app/engine/portfolio.py ratchets the stop with the price (up for longs, down for shorts) and never loosens; the engine persists the ratcheted level and the backtester applies the same logic. Position gains a trailing_stop_pct column (additive migration). momentum exposes it as a param. Parameter sweeps: app/backtest/sweep.py runs a cartesian grid through the same backtester and ranks by return minus max drawdown. POST /api/sweep plus a dashboard Parameter sweep panel.
63 lines
2.2 KiB
Python
63 lines
2.2 KiB
Python
from __future__ import annotations
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from typing import ClassVar
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from app.engine.strategies.base import Strategy, StrategyContext, register
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from app.models import PositionSide
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@register
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class Momentum(Strategy):
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"""Rate-of-change momentum, long-only."""
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key: ClassVar[str] = "momentum"
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name: ClassVar[str] = "Momentum (ROC)"
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description: ClassVar[str] = (
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"Open long when the rate of change over the lookback exceeds the entry "
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"threshold; exit when momentum turns negative."
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)
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default_params: ClassVar[dict] = {
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"period": 10,
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"entry_threshold": 0.01,
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"atr_period": 14,
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"atr_stop_mult": 2.0,
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"trailing_stop_pct": 0.0,
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"size": 1.0,
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}
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param_help: ClassVar[dict] = {
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"period": "ROC lookback in bars",
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"entry_threshold": "Minimum ROC to enter (0.01 = 1%)",
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"atr_period": "ATR lookback for the initial stop",
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"atr_stop_mult": "Stop distance in ATRs (0 disables)",
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"trailing_stop_pct": "Trailing stop distance as a fraction of price (0 disables)",
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"size": "Fraction of equity per trade",
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}
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param_bounds: ClassVar[dict] = {
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"period": (2, 200),
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"entry_threshold": (0.0, 1.0),
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"atr_stop_mult": (0.0, 10.0),
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"trailing_stop_pct": (0.0, 0.5),
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"size": (0.01, 1.0),
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}
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def on_candle(self, ctx: StrategyContext) -> None:
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value = ctx.roc(int(self.params["period"]))
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if value is None:
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return
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if ctx.is_flat and value > float(self.params["entry_threshold"]):
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stop = None
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mult = float(self.params["atr_stop_mult"])
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if mult > 0:
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atr_value = ctx.atr(int(self.params["atr_period"]))
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if atr_value:
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stop = ctx.price - mult * atr_value
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ctx.enter_long(
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size=float(self.params["size"]),
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stop_loss=stop,
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trailing_stop_pct=float(self.params["trailing_stop_pct"]),
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reason=f"ROC {value:.2%} above threshold",
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)
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elif ctx.side == PositionSide.LONG and value < 0:
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ctx.close(reason=f"ROC {value:.2%} turned negative")
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