What is ML Alpha?
ML Alpha is an AI investment platform offering an AI Screener for 5,000+ US stocks with 25+ years of historical fundamental and technical data. ML Alpha generates ML Alpha Scores (Short-Term, Mid-Term, Long-Term, Dividend, Safety) from multiple machine learning models to support stock comparison and selection.
The Data Science Studio provides ML-ready datasets, model training, backtesting, and prediction submission to evaluate real-world performance. The Marketplace and social leaderboard let investors and data scientists follow performance-verified portfolios, track live results, and receive notifications.
Portfolio Insights combine ML Alpha Scores with performance tracking for portfolio monitoring and alerts. Price-dependent data updates daily and ML Alpha Scores and datasets update on a regular schedule to support timely analysis and backtesting. Features serve retail investors, quantitative analysts, and data scientists seeking AI-driven stock screening, model validation, backtesting, and portfolio tracking.
ML Alpha pricing Subscription
Verify on the official pricing page.
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ML Alpha's key features
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ML Alpha Scores: multi-horizon ML-derived scores (Short Term, Mid Term, Long Term, Dividend, Safety) generated from multiple machine learning models
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Generative AI-powered Screener to explore companies' fundamental and technical data with extensive historical coverage
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AI Financial Expert for automated analysis of a company's financial state
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Data Science Studio with curated ML-ready datasets, model training, backtesting, prediction submission, and a marketplace for predictions
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Portfolio management and Marketplace: create and track portfolios using ML Alpha Scores, follow performance-verified portfolios live, receive instant notifications, with historical portfolios being non-editable
ML Alpha use cases
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Build and rigorously backtest quantitative trading strategies across 5,000+ US stocks using ML Alpha's 25+ years of fundamental and technical data and ML-ready datasets, train models with built-in pipelines, optimize multi-horizon ML Alpha Scores and validate performance before live deployment
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Monitor and optimize an investment portfolio by integrating ML Alpha Scores with verified portfolio tracking to receive real-time portfolio monitoring alerts and rebalance signals, leveraging historical fundamentals and multi-horizon predictions to reduce risk and improve returns
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Accelerate quant research and model delivery by exporting cleaned ML-ready datasets, training and iterating models in-platform, submitting predictions to the ML Alpha marketplace to share or monetize signals, and using automated backtesting to iterate quickly without building data infrastructure from scratch
Who is it for?
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Quantitative analysts
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Data scientists
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Financial researchers
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Algorithmic traders
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Portfolio managers
