A methodology that involves the use of machine learning algorithms to analyze TradingView strategies and optimize them for better performance. This technique involves taking a historical dataset and training a machine learning model to identify patterns and relationships within the data. The model can then use these patterns to make predictions on future price movements and improve the performance of the TradingView strategy. By implementing machine learning techniques, traders can improve their trading performance by making data-driven decisions, reducing the risk of losses and increasing profit margins. The use of machine learning has become increasingly popular in the financial markets, and this technique is becoming an essential tool for traders and investors who want to stay ahead of the competition.