🏀Zerve chosen as NCAA's Agentic Data Platform for 2026 Hackathon·📍Zerve exhibiting at Neudata London Summit · 2 July·📈We're hiring — awesome new roles just gone live!
Back

Quantifying Market Regimes

patrics2727
June 29, 2026

About

This canvas implements a comprehensive NASDAQ 100 stock prediction and trading strategy pipeline that loads historical data, engineers technical features (moving averages, volatility, volume spikes, cross-sectional rankings), and trains ensemble ML classifiers (Random Forest and Gradient Boosting) to predict 30-day price direction, ultimately backtesting the predictions against market baseline returns from 2019-2021.

Related Topics

Decision-grade data work

Explore, analyze and deploy your first project in minutes