📈 Screening Stocks with AI Factors – Boosting Performance with ML Signals

🎯 Screening Stocks with AI Factors
📈 Boosting Performance with Machine Learning Signals

In this video, we explore how to screen stocks using AI-powered factors — combining machine learning insights with traditional fundamentals to build smarter, higher-performing portfolios.

📌 What you’ll learn:

✅ How to apply machine-learned factor scores to live stock screening

✅ Why traditional screens miss regime shifts — and how AI adapts

✅ Step-by-step: build screens with rank/score overlays in Portfolio123

✅ How to add buy rules (like EPS Revisions, Altman Z) to stabilize out-of-sample performance

✅ Case studies: recent breakout names picked by the AI system

✅ Tips for short-term holding periods (2–5 days) using ML signals

📎 Platform Used: https://www.portfolio123.com
💡 Models trained on 130+ features including earnings momentum, sentiment, valuation, and quality — using LightGBM & ExtraTrees.

Видео 📈 Screening Stocks with AI Factors – Boosting Performance with ML Signals канала Systematic AI Investing via Portfolio123