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Core technical indicator collection (trend EMA/ADX + mean-reversion BB/RSI + volume-price OBV/volume ratio), generates a composite signal via three-dimensional voting. Pure pandas implementation for any OHLCV data.
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Based on SOC occupation classification
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| name | technical-basic |
| description | Core technical indicator collection (trend EMA/ADX + mean-reversion BB/RSI + volume-price OBV/volume ratio), generates a composite signal via three-dimensional voting. Pure pandas implementation for any OHLCV data. |
| category | strategy |
Combines three classic Western technical analysis approaches into one composite signal engine:
| Dimension | Indicators | Purpose |
|---|---|---|
| Trend | EMA(12/26) + ADX(14) | Determine direction and trend strength |
| Mean reversion | Bollinger Bands(20,2) + RSI(14) | Detect overbought and oversold conditions |
| Volume-price | OBV + volume ratio | Confirm volume participation |
Three-dimensional voting mechanism:
ewm(alpha=1/period)), not a rolling mean(volume * sign(close.diff())).cumsum()All parameters have default values and can be overridden at instantiation time:
| Parameter | Default | Description |
|---|---|---|
| ema_fast | 12 | Fast EMA period |
| ema_slow | 26 | Slow EMA period |
| adx_period | 14 | ADX calculation period |
| adx_threshold | 25.0 | ADX trend-strength threshold |
| bb_window | 20 | Bollinger Band window |
| bb_std | 2.0 | Bollinger Band standard deviation multiplier |
| rsi_period | 14 | RSI period |
| rsi_oversold | 30 | RSI oversold threshold |
| rsi_overbought | 70 | RSI overbought threshold |
| vol_ma_period | 20 | Volume moving-average period |
| obv_ma_period | 20 | OBV moving-average period |
pip install pandas numpy requests
1 = long, -1 = short, 0 = stand aside