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89 lines
2.8 KiB
Python
89 lines
2.8 KiB
Python
"""高换手拉升 — 换手率 > 5% 且涨幅 > 3%, 资金活跃"""
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import numpy as np
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from app.backtest.matrix import (
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MarketDataMatrix,
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SignalMatrix,
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make_signal_matrix,
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matrix_feature,
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)
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from app.backtest.matrix import (
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valid_shift as shift,
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)
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META = {
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"id": "high_turnover_surge",
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"name": "高换手拉升",
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"description": "换手率 > 5% 且涨幅 > 3%, 资金活跃",
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"tags": ["换手率", "放量", "资金"],
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"asset_types": ["stock"],
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"timeframes": ["1d"],
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"params": [
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{"id": "use_turnover_filter", "label": "启用换手率过滤", "type": "bool", "default": True},
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{
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"id": "min_turnover",
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"label": "最低换手率%",
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"type": "float",
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"default": 5.0,
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"min": 1.0,
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"max": 20.0,
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"step": 0.5,
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},
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{"id": "use_change_filter", "label": "启用涨幅过滤", "type": "bool", "default": True},
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{
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"id": "min_change",
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"label": "最低涨幅%",
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"type": "float",
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"default": 3.0,
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"min": 1.0,
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"max": 10.0,
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"step": 0.5,
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},
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],
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"scoring": {"turnover_rate": 0.4, "change_pct": 0.3, "momentum_5d": 0.3},
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"order_by": "score",
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"descending": True,
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"limit": 50,
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}
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EXECUTION_BACKEND = "matrix_native"
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ENTRY_SIGNALS = ["signal_volume_surge"]
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EXIT_SIGNALS = ["signal_ma20_breakdown"]
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STOP_LOSS = -0.05
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MAX_HOLD_DAYS = 10
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class HighTurnoverSurgeMatrixStrategy:
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def required_fields(self) -> frozenset[str]:
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return frozenset({"close", "turnover_rate"})
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def required_warmup_bars(self, params: dict) -> int:
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del params
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return 60
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def compute_signals(self, market: MarketDataMatrix, params: dict) -> SignalMatrix:
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entry = np.ones(market.shape, dtype=bool)
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if params.get("use_turnover_filter", True):
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entry &= matrix_feature(market, "turnover_rate") > float(
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params.get("min_turnover", 5.0)
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)
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if params.get("use_change_filter", True):
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entry &= (
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matrix_feature(market, "change_pct") > float(params.get("min_change", 3.0)) / 100.0
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)
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ma20 = matrix_feature(market, "ma20")
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exit_ = (market.close < ma20) & (shift(market.close, 1) >= shift(ma20, 1))
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return make_signal_matrix(
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market.shape,
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entry=entry.astype(np.uint8),
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exit=exit_.astype(np.uint8),
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entry_signal_code=np.where(entry, 0, -1).astype(np.int16),
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exit_signal_code=np.where(exit_, 0, -1).astype(np.int16),
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entry_signal_ids=("signal_volume_surge",),
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exit_signal_ids=("signal_ma20_breakdown",),
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)
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MATRIX_STRATEGY = HighTurnoverSurgeMatrixStrategy()
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