Predict Stock Prices Using Technical Indicators and Machine Learning in Python

[@shailendrakaushik9281]

Excellent work! Keep it up

[@lucasmrancez]

Thanks for sharing! but you may be incorrectly looking for direct corrections between indicator and stock closing prices. As I understand, indicator usually work as a guidance, sometimes even a visual guidance, to help find trends, or more importantly, trend changes. I would be interested if you could finding the correlation between indicators and the highest high or the lowest low of a trend, or to the derived closing price, for example.

[@DeepCharts]

Thanks for the comment. While indicators are often used for trend detection, this analysis tests their predictive value for next-day closing prices to evaluate their utility in forecasting. Moving averages are commonly used as direct predictors in ML time series models, but other indicators are less frequently examined this way, which is why we’re testing them here. The shared GitHub code in the video description can be modified to test alternative hypotheses, including different predictive time horizons and relationships to highest highs or lowest lows.