Feature Engineering For Algo Trading
Download the source code from here:
https://onepagecode.substack.com/p/pr...
In the fast-paced world of stock trading, the ability to predict market movements can offer a significant edge. This article dives into the intersection of machine learning and technical analysis to forecast Tesla’s stock performance. By combining advanced algorithms like ARIMA, LSTM, and XGBoost with classic trading indicators such as Moving Averages, RSI, and Bollinger Bands, the aim is to reveal patterns and insights hidden within historical data. Additionally, sentiment analysis on Tesla’s news headlines adds another layer of predictive power, offering a comprehensive approach to stock market forecasting.
