building·2025·market-prediction
Market Prediction
Stock screener and price prediction, with machine learning.
About
Research project around machine learning applied to financial markets: fundamentals, technical indicators, pattern recognition, predictive model comparison. Python stack (scikit-learn, TensorFlow, Keras, FinTA, yfinance) with a Streamlit UI.
Goals
- Compare several ML models on financial time series
- Build a stock screener with fundamental and technical filters
- Turn the research into a usable tool for retail investors
Why this project
A mix of two topics I care about: quantitative data and investing. Stock prediction is a classic trap, but the exploration and model comparison process has value on its own.
Progress
Python + Streamlit codebase under study and adaptation. Model comparison notebook active. Next step: clean UI and near-real-time data integration.