Searching for "Elliott Wave" on GitHub provides access to various open-source implementations for automated pattern recognition, backtesting, and quantitative analysis. These repositories generally fall into three categories: automated labeling scripts, machine learning-driven models, and educational datasets. Automated Recognition & Labeling
Perhaps the most comprehensive open-source Pine Script tool is the . This indicator solves the critical issue of wave alignment across different timeframes. Its features include:
(if you tell me your preferred language, e.g., Python, C++, Node.js).
: This 2025 paper introduces a multi-agent AI system that uses Natural Language Processing (NLP) and Large Language Models (LLMs) to collaboratively interpret Elliott Wave patterns. elliott wave github
: An open-source dataset focused on training modern AI models.
Moves in the direction of the main trend. Corrective Waves (3 Waves): Moves against the main trend. Rules of Validation: Wave 2 never retraces more than 100% of Wave 1.
Choose a project that matches your skill level. For beginners, elliottwave-ta or alessioricco/ElliottWaves offer straightforward scripts to analyze CSV data. Install dependencies using pip install pandas matplotlib and test the ElliottWaveFindPattern function with your data to see how the algorithm labels potential waves. Searching for "Elliott Wave" on GitHub provides access
Enhances interpretability by providing human-comprehensible natural language explanations for market trends.
: Focuses on optimizing Elliott Wave forecasting using genetic algorithms.
def zigzag(data, depth=5): """Finds local maxima and minima""" local_max = argrelextrema(data.values, np.greater, order=depth)[0] local_min = argrelextrema(data.values, np.less, order=depth)[0] # Merge and sort pivots pivots = pd.concat([pd.Series(local_max), pd.Series(local_min)]).sort_values() return data.iloc[pivots] This indicator solves the critical issue of wave
A 3-wave pattern (labeled A-B-C) that retraces the impulsive movement. The Automation Challenge
Tests parameters using Walk forward optimization and the Sharpe ratio.
✅ – Simulate entry/exit at wave 3 or wave C completions.
Use git clone to download the project.
: A project focused on forecasting markets by optimizing Elliott Wave parameters using genetic algorithms. It has been tested on FOREX pairs like EUR/USD.