: A Python implementation of the methods discussed in the paper Profitability of Elliott Waves and Fibonacci Retracement Levels in the Foreign Exchange Market . Core Implementation Libraries
Forex and Crypto algorithmic trading. This is arguably the most popular Python library for strict Elliott Wave counting. It utilizes numpy and pandas to identify zigzags based on percentage thresholds.
: The elliot-waves-auto repository offers a full-stack approach, combining wave visualization with Fibonacci projection zones and trade recommendations.
Custom indicators that draw "Wave Tunnels," "Fibo-Level Clusters," or "Wave Oscillators." 📊 How to Evaluate an Elliott Wave Repository