Press any key or click to skip

Back to projects

StockML

PythonFlaskScikit-LearnFinance
SourceLive demo

Overview

StockML predicts stock trends using multiple ML models. Combines financial data science with interactive web analytics.

Features

  • Five ML algorithms: Linear Regression, Decision Trees, Random Forest, SVM, XGBoost
  • Live ticker data with model performance visualization
  • Interactive UI for model comparison and backtesting
  • REST API for real-time inference

Tech Stack

Python Flask Scikit-Learn Pandas Plotly

Note: Backend may sleep after inactivity. Allow 10-15 seconds for initialization.