Core engine

AI Prediction Pipeline

Production-grade machine learning pipeline for multi-asset financial forecasting.

The core prediction engine that processes market data, runs ensemble ML models, generates predictions, and maintains complete evidence chains for institutional auditability.

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Pipeline architecture

A 12-stage production pipeline that ingests market data, engineers features, trains models, generates predictions, and maintains comprehensive governance records.

Stage 00-03: Environment setup, validation, and control

Stage 04-07: Feature engineering, model training, and prediction

Stage 08-10: Presentation, execution reporting, and governance

Stage 11-12: Evaluation and optimization

Multi-asset coverage

Supports stocks, bonds, forex, and commodities with specialized configurations for each asset class, including data sources, features, and model architectures.

Governance integration

Every pipeline run is logged, audited, and stored in SQL evidence tables, providing complete reproducibility and regulatory compliance.

How to position it

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