Multi Factor Technical Signal Generation From Price Volume Sentiment Fusion

via “multi-indicator-feature-engineering-pipeline”

Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.

Unique: Implements a vectorized indicator computation pipeline using pandas rolling windows and numpy operations (rather than loop-based calculations), enabling fast computation of 50+ indicators across multiple symbols simultaneously while maintaining numerical stability through normalization and NaN handling.