Files
shy3130 58f8d7b883 feat(strategy): 新增 7 个矩阵原生内置策略, 公开计数 18→25
- 趋势/形态: 均线粘合突破 · 平台整理突破 · 放量创60日新高
- 量价/涨停: 涨停基因活跃股 (max_change_pct 参数过滤当日已大涨)
- 反转/波动: MACD 零下回升 · 长下影反击 (close_position>=0.5 兼容假阴线) · RSI 中轴回踩
- 阈值统一小数制口径 (change_pct/momentum 除以 100), 一致性测试计数 26
2026-08-31 22:30:44 +08:00

91 lines
3.1 KiB
Python

"""长下影反击 — 超跌后放量收长下影线, 多头承接确认"""
import numpy as np
from app.backtest.matrix import (
MarketDataMatrix,
SignalMatrix,
make_signal_matrix,
matrix_feature,
)
from app.backtest.matrix import (
valid_shift as shift,
)
META = {
"id": "long_lower_shadow_reversal",
"name": "长下影反击",
"description": "近5日超跌后收长下影线且收盘收复实体, 下方承接强势的反转信号",
"tags": ["K线形态", "超跌", "反转"],
"asset_types": ["stock"],
"timeframes": ["1d"],
"params": [
{
"id": "shadow_pct_min",
"label": "下影线最低长度% (相对昨收)",
"type": "float",
"default": 3.0,
"min": 1.0,
"max": 10.0,
"step": 0.5,
},
{
"id": "drop_pct_max",
"label": "近5日累计跌幅下限% (负值)",
"type": "float",
"default": -5.0,
"min": -30.0,
"max": 0.0,
"step": 1.0,
},
{"id": "require_recovery", "label": "要求收盘收复上半区", "type": "bool", "default": True},
],
"scoring": {"momentum_20d": 0.3, "vol_ratio_5d": 0.4, "change_pct": 0.3},
"order_by": "score",
"descending": True,
"limit": 100,
}
EXECUTION_BACKEND = "matrix_native"
ENTRY_SIGNALS = ["signal_long_lower_shadow"]
EXIT_SIGNALS = ["signal_ma5_lose_after_shadow"]
STOP_LOSS = -0.05
MAX_HOLD_DAYS = 10
class LongLowerShadowReversalMatrixStrategy:
def required_fields(self) -> frozenset[str]:
return frozenset({"open", "high", "low", "close", "volume"})
def required_warmup_bars(self, params: dict) -> int:
del params
return 20
def compute_signals(self, market: MarketDataMatrix, params: dict) -> SignalMatrix:
prev_close = matrix_feature(market, "prev_close")
body_bot = np.minimum(market.open, market.close)
shadow_pct = (body_bot - market.low) / prev_close * 100.0
entry = shadow_pct >= float(params.get("shadow_pct_min", 3.0))
entry &= matrix_feature(market, "momentum_5d") <= float(params.get("drop_pct_max", -5.0)) / 100.0
entry &= matrix_feature(market, "vol_ratio_5d") >= 1.2 # 承接需有量
if params.get("require_recovery", True):
# 收盘位于当日振幅上半部 (close_position ∈ [0,1]): 长下影反击常为低开回拉,
# 收盘仍可能低于开盘 (假阴线), 用位置而非阴阳判定收复力度
entry &= matrix_feature(market, "close_position") >= 0.5
ma5 = matrix_feature(market, "ma5")
exit_ = market.close < ma5
return make_signal_matrix(
market.shape,
entry=entry.astype(np.uint8),
exit=exit_.astype(np.uint8),
entry_signal_code=np.where(entry, 0, -1).astype(np.int16),
exit_signal_code=np.where(exit_, 0, -1).astype(np.int16),
entry_signal_ids=("signal_long_lower_shadow",),
exit_signal_ids=("signal_ma5_lose_after_shadow",),
)
MATRIX_STRATEGY = LongLowerShadowReversalMatrixStrategy()