Github | Elliott Wave

Combines deep reinforcement learning (DRL) with natural language processing (NLP).

Markets are probabilistic. A high-quality Elliott Wave script should not give you just one definitive answer. The best libraries generate multiple valid "alternate counts" and rank them by mathematical probability or adherence to Fibonacci guidelines. Inspect the Backtesting Framework elliott wave github

Automated tools can make errors in messy markets. Always verify the wave count against fundamental data. and extensions. Fortunately

Identifies basic 5-wave impulse patterns and 3-wave corrective structures (ABC). elliott wave github

While visually intuitive, automating Elliott Wave detection is notoriously difficult due to the subjective nature of identifying wave degrees, alternations, and extensions. Fortunately, the global developer community on GitHub has built numerous open-source repositories to solve this challenge.

Wave 3 cannot be the shortest of the three impulse waves (1, 3, and 5).