Files
trade/engine/indicators/__init__.py
T
Rekey 4294ec401d feat: 多周期牛熊判定模块 — 方案一矩阵展示 + 四法投票 + 多TF策略
- engine/indicators/regime.py: RegimeDetector(四法投票) + MultiTimeframeRegime(多周期并行)
  四法: EMA200斜率 / 价格vsEMA200 / ATH回撤 / 窄幅盘整(<3%振幅)
  全部 O(1)/bar 增量计算,适用于回测和实时
- engine/example/regime_display.py: 多周期牛熊矩阵展示脚本
  独立加载各周期数据 → 运行判定 → 日线对齐矩阵 + 详细拆解 + 统计
  输出 engine/backtest/REGIME_MATRIX_BTCUSDT.md
- engine/example/regime_mtf_strategy.py: 多周期共识策略 + 四策略对比回测
  MTF Consensus: 1w定方向 + 1d确认 + 4h EMA入场
  vs Old Regime(单TF基线) vs Long/Short(无过滤)
- engine/indicators/__init__.py: 导出 RegimeDetector, MultiTimeframeRegime
2026-06-17 11:30:19 +08:00

37 lines
1.1 KiB
Python

"""
技术指标库
提供常用的趋势、动量、波动率和成交量指标计算。
所有函数均为纯 Python 实现,无外部依赖。
用法:
from engine.indicators import sma, ema, macd, rsi, bollinger, atr
closes = [100.0, 101.0, 102.0, ...]
ma = sma(closes, period=20)
rsi_vals = rsi(closes, period=14)
upper, mid, lower = bollinger(closes, period=20, std=2)
"""
from .trend import sma, ema, macd, macd_signal, macd_histogram, adx
from .momentum import rsi, stoch, stoch_k, stoch_d
from .volatility import bollinger, bollinger_upper, bollinger_mid, bollinger_lower, atr
from .volume import obv, vwap
from .incremental import EmaInc, AtrInc, RsiInc, BbInc
from .regime import RegimeDetector, MultiTimeframeRegime
__all__ = [
# 趋势
"sma", "ema", "macd", "macd_signal", "macd_histogram", "adx",
# 动量
"rsi", "stoch", "stoch_k", "stoch_d",
# 波动率
"bollinger", "bollinger_upper", "bollinger_mid", "bollinger_lower", "atr",
# 成交量
"obv", "vwap",
# 增量
"EmaInc", "AtrInc", "RsiInc", "BbInc",
# 牛熊判定
"RegimeDetector", "MultiTimeframeRegime",
]