Predictive Stock Tracker

Predictive Stock Tracker is a comprehensive machine learning platform that brings together financial data, technical analysis, predictive modeling, and explainable AI into a single decision-support system. Rather than relying on a single forecasting technique, the application combines market data from numerous sources with multiple machine learning models to produce transparent BUY, HOLD, and SELL recommendations.

The platform aggregates historical pricing, trading volume, technical indicators, company fundamentals, macroeconomic data, insider trading activity, analyst recommendations, options intelligence, and market sentiment to build a rich feature set for each security. Six different machine learning architectures, including traditional regression, gradient boosting, recurrent neural networks, convolutional networks, Transformers, and hybrid deep learning models, are trained to generate forecasts across multiple investment horizons. Their outputs are then combined with deterministic scoring logic to produce recommendations that users can understand rather than simply trust. This emphasis on explainability makes the system valuable not only as a forecasting tool, but also as a learning platform for understanding how different models interpret financial markets.

From an engineering perspective, the project demonstrates the construction of an end-to-end AI pipeline. It covers data acquisition from numerous APIs, feature engineering, automated machine learning workflows, time-series forecasting, model comparison, ensemble techniques, visualization, and interactive reporting. The result is a production-style analytics platform that showcases practical applications of Python, machine learning, data engineering, and explainable AI while emphasizing reproducible, evidence-based decision making rather than “black box” predictions. It also highlights experience integrating diverse datasets into a unified analytical workflow, designing modular AI systems, and presenting complex model outputs through an intuitive interface suitable for both technical and non-technical users.

Predictive Stock Tracker is available on my GitHub.