ML for Trading
Repositories list
12 repositories
skills
PublicAgent skills for Machine Learning for Algorithmic Trading: leakage-safe quant ML, backtesting, validation, and autonomous research workflows.engineer
PublicFeature engineering, labeling, alternative bars, and leakage-safe datasets for financial ML.diagnostic
PublicSignal diagnostics, statistical validation, and backtest evaluation for quantitative trading workflows.backtest
PublicEvent-driven backtesting for quantitative strategies with configurable execution, accounting, risk, and framework-parity validation.data
PublicMarket data acquisition, storage, and update workflows for machine learning for trading.ecosystem
Publicmodels
PublicFinance-specific models for asset pricing, prediction, and portfolio learning.live
PublicLive trading runtime for ML4T strategies with broker integrations, risk checks, and shadow mode.specs
PublicSerializable, runtime-neutral contracts for market data, artifacts, strategy lifecycles, and execution across ML4T libraries.agentic-ai-in-trading
PublicMaterials for the Agentic AI in Trading workshop, QuantInsti Algo Trading Conference 2026.coursework
Publicitch-parser
Public
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