Quant-Builder.ai

About Quant-Builder.ai

Quant-Builder.ai is a no-code platform that enables retail investors to build, backtest and automate machine learning stock prediction models without writing code. Users can train models on 30 years of point-in-time daily data across more than 3,000 US stocks, selecting from 750+ trainable features including technicals, fundamentals, macroeconomics and sector correlations. The platform supports walk-forward backtesting to evaluate strategy performance on out-of-sample periods, reducing look-ahead and survivorship bias. Each morning, models rescore the entire stock universe and deliver confidence-ranked daily picks that can be executed directly via connected Alpaca brokerage accounts or reviewed manually. Portfolio backtesting allows users to simulate multi-model strategies across historical market regimes such as bull, bear, recession and recovery. Specialized models can be trained on predefined universes like the QB100 or any of 11 sector Top-100 indexes, enabling users to focus on familiar market segments. An AI assistant trained on user model data provides plain-English guidance for feature selection, backtest interpretation and strategy optimization.

Key features

• ✓750+ trainable features (technicals, fundamentals, macroeconomics)
• ✓30 years of point-in-time daily stock data
• ✓Walk-forward backtesting with out-of-sample evaluation
• ✓Daily confidence-ranked stock picks delivered each morning
• ✓Portfolio backtesting across multiple models and market regimes
• ✓Predefined universes: QB100, QB500, 11 sector Top-100 indexes
• ✓AI research chat for feature selection and strategy optimization
• ✓Direct trade execution via Alpaca brokerage integration

Use cases

• ✓Building and testing systematic stock trading strategies without coding
• ✓Automating daily stock selection for swing or position traders
• ✓Evaluating multi-model portfolio performance across historical market regimes

Frequently asked questions about Quant-Builder.ai