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Multi-variable MSFT Stock Price Prediction

Report of Multi-variable prediction of MSFT stock price prediction. Compared between 3 models -- Logistic Regression, Gradient Boosting Machines(XGBoost), Neural Networks (a Multi-Layer Perceptron for classification).

Conclusion: With the complicate Market data, complex models(XGBoost, MLP) failed to out-perform the simple Logistic Regression.

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Multi-variable stock price prediction for Microsoft (MSFT) using technical indicators, market indices, peer stocks, and macroeconomic data. Predicts daily price direction (up/down) via binary classification with Logistic Regression, XGBoost, and neural networks. Includes 119 features from yfinance and FRED covering 2024–2025.

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