Ml4t Python Packages

ml4t-specs

Serializable, runtime-neutral contracts for market data, artifacts, strategy lifecycles, and execution across ML4T libraries.

ml4t-backtest

Event-driven backtesting for quantitative strategies with configurable execution, accounting, risk, and framework-parity validation.

ml4t-diagnostic

Signal diagnostics, statistical validation, and backtest evaluation for quantitative trading workflows.

ml4t-data

Market data acquisition, storage, and update workflows for machine learning for trading.

ml4t-engineer

Feature engineering, labeling, alternative bars, and leakage-safe datasets for financial ML.

ml4t-models

Finance-specific models for asset pricing, prediction, and portfolio learning.

ml4t-live

Live trading runtime for ML4T strategies with broker integrations, risk checks, and shadow mode.