Files
tick-stock-panel/backend/tests/test_strategy_saved_params.py
T
lytem28 b6cf0495e1 feat: complete matrix-native backtest engine
Unify strategy execution across backtest, screener, and monitoring; isolate backtest workloads in spawn workers; and add shared matrix caching plus valid-bar indicator acceleration.
2026-07-16 12:17:27 +08:00

56 lines
1.6 KiB
Python

from datetime import date
import polars as pl
from app.strategy.engine import StrategyDataContext, StrategyDef, StrategyEngine
def _make_engine() -> tuple[StrategyEngine, StrategyDataContext]:
df = pl.DataFrame({"symbol": ["A", "B", "C"], "value": [1, 2, 3]})
engine = StrategyEngine(strategy_dirs=[])
engine._strategies["saved_params"] = StrategyDef(
meta={"id": "saved_params", "scoring": {}, "limit": 100},
basic_filter={"enabled": False},
entry_signals=[],
exit_signals=[],
stop_loss=None,
trailing_stop=None,
trailing_take_profit_activate=None,
trailing_take_profit_drawdown=None,
max_hold_days=None,
alerts=[],
filter_fn=lambda _df, params: pl.col("value") >= params.get("min_value", 1),
filter_history_fn=None,
lookback_days=1,
source="custom",
)
return engine, StrategyDataContext(
asset_type="stock",
timeframe="1d",
as_of=date(2026, 7, 15),
current=df,
)
def test_run_applies_saved_strategy_params():
engine, context = _make_engine()
result = engine.run(
"saved_params",
context,
overrides={"params": {"min_value": 2}},
)
assert [row["symbol"] for row in result.rows] == ["B", "C"]
def test_explicit_params_override_saved_strategy_params():
engine, context = _make_engine()
result = engine.run(
"saved_params",
context,
params={"min_value": 3},
overrides={"params": {"min_value": 2}},
)
assert [row["symbol"] for row in result.rows] == ["C"]