elliott-wave

Elliott Wave signals identify 5-wave impulses and ABC corrections by applying Zigzag swing detection and Fibonacci validation to OHLCV price series. This automates wave theory analysis, enabling timely trend-following or correction signals across multiple instruments.

Yes, Elliott Wave signal detection works on both daily and intraday OHLCV price series. The engine uses configurable parameters like swing_window and min_wave_bars to adapt wave detection across multiple instruments and timeframes.

You configure Fibonacci tolerance and swing windows using the fib_tolerance, swing_window, and min_wave_bars parameters. These settings adjust Zigzag swing detection sensitivity and Fibonacci validation strictness to filter signal quality for your price series.

Yes, the Elliott Wave signal engine is implemented using pandas and numpy. It processes OHLCV dataframes to compute swing points and validate wave patterns, outputting a per-symbol signal series for your technical analysis workflow.

Automating ABC correction and 5-wave impulse detection is best handled by a deterministic signal engine applying Zigzag swing detection and Fibonacci validation to OHLCV data. This eliminates manual charting by outputting objective per-symbol signal series.

Zigzag-based wave detection can repaint and is sensitive to the chosen swing_window and min_wave_bars settings. Inadequate parameter configuration may lead to false impulse signals or missed ABC corrections in noisy market price series.