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Compute common trading indicators from OHLCV price data for analysis and strategy development.
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Baseado na classificação ocupacional SOC
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| name | trading-indicators-from-price-data |
| description | Compute common trading indicators from OHLCV price data for analysis and strategy development. |
Calculate 20 widely used trading indicators from OHLCV candles (open, high, low, close, volume) using Python.
This skill is useful for:
Install dependencies:
pip install pandas pandas-ta
Input data must include these columns:
openhighlowclosevolumeNaN).You have a trading-indicators skill.
When given OHLCV price data, calculate the following 20 indicators:
RSI(14), MACD line/signal/histogram (12,26,9), SMA(20), SMA(50), EMA(20), EMA(50), WMA(20),
Bollinger upper/middle/lower (20,2), Stoch %K/%D (14,3,3), ATR(14), ADX(14), CCI(20), OBV, MFI(14), ROC(12).
Return a table with the latest value of each indicator and include the last 50 rows when requested.
If data is insufficient, ask for more candles.