Add trailing stops and parameter sweeps
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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.
This commit is contained in:
matitos committed 2026-09-19 23:04:20 +00:00
1 parent d80e7b155e
commit 9dc00eba95
22 files changed
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@@ -6,7 +6,7 @@ from collections.abc import Callable
from contextlib import suppress
from typing import Any
from app.backtest import Backtester
from app.backtest import Backtester, run_sweep
from app.broker import build_broker
from app.broker.base import Broker
from app.config import Settings
@@ -15,7 +15,14 @@ from app.engine.strategies import get_strategy
from app.market import build_market_data
from app.market.base import MarketData
from app.notify import Notifier, build_notifier
from app.schemas import BacktestRequest, BacktestResult, StatusOut
from app.schemas import (
BacktestRequest,
BacktestResult,
StatusOut,
SweepRequest,
SweepResult,
SweepRowOut,
)
from app.store import Store
logger = logging.getLogger(__name__)
@@ -139,6 +146,41 @@ class Runtime:
)
return backtester.run(candles, strategy, symbol, timeframe)
async def run_sweep(self, request: SweepRequest) -> SweepResult:
symbol = request.symbol or self.settings.symbol
timeframe = request.timeframe or self.settings.timeframe
strategy_cls = get_strategy(request.strategy_key)
feed = self._feed_factory(self.settings)
try:
candles = await feed.fetch_candles(symbol, timeframe, request.limit)
finally:
await feed.close()
rows = run_sweep(
request.strategy_key,
request.base_params,
request.grid,
candles,
symbol,
timeframe,
fee_bps=self.settings.fee_bps,
slippage_bps=self.settings.slippage_bps,
starting_balance=request.starting_balance or self.settings.starting_balance,
top_n=request.top_n,
)
combinations = 1
for values in request.grid.values():
combinations *= max(1, len(values))
return SweepResult(
strategy_key=request.strategy_key,
strategy_name=strategy_cls.name or request.strategy_key,
symbol=symbol,
timeframe=timeframe,
combinations=combinations,
rows=[SweepRowOut(params=row.params, metrics=row.metrics) for row in rows],
)
async def shutdown(self) -> None:
if self.engine is not None:
await self.engine.shutdown()