Trading Indicators from Price Data (20 common indicators) Calculate 20 widely used trading indicators from OHLCV candles (open, high, low, close, volume) using Python. This skill is useful for: - signal generation - strategy backtesting - feature engineering for ML models - market condition dashboards Requirements Install dependencies: Input data must include these columns: - - - - - 20 indicators included 1. RSI (14) 2. MACD line (12,26) 3. MACD signal (9) 4. MACD histogram 5. SMA (20) 6. SMA (50) 7. EMA (20) 8. EMA (50) 9. WMA (20) 10. Bollinger upper band (20,2) 11. Bollinger middle band (…