Results and Insights - tarunc27/TCS-Stock-Price-Analysis-and-Prediction GitHub Wiki

LSTM outperformed Linear Regression in trend-following accuracy.

Random Forest delivered solid results for nonlinear relationships.

Correlation among OHLC (Open, High, Low, Close) features was strong.

Engineered features (moving averages, lag values) helped improve model performance.

Most price changes were small, but some volatility spikes occurred.