skills
Unverified ML strategy on Multi by ml4t. BotFinder score 18 out of 100.
Agent skills for Machine Learning for Algorithmic Trading: leakage-safe quant ML, backtesting, validation, and autonomous research workflows.
Source: github
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skills
ML4T Agent Skills 61 standalone skills that teach AI coding assistants the Machine Learning for Trading workflow from Machine Learning for Algorithmic Trading, 3rd Edition. This repository turns the book's quant research discipline into runtime guidance for coding agents. Each skill gives an agent the pattern it needs to avoid common ML4T failures: leakage, lookahead bias, overfit backtests, stale data joins, broken cross-validation, unrealistic transaction costs, and unsafe autonomous workflows. Each skill is a plain SKILL.md file with YAML frontmatter and concise procedural guidance. Installing them means putting each individual skill directory where your agent looks for skills, which scripts/install.sh does from a clone or from an unpacked release archive. Next free session: How to Be Productive with Coding Agents, Beyond Code, a 30-minute live session on Wednesday, September 30, 2026, 11:00 AM ET / 15:00 UTC. All courses, workshops, and free lessons. Why Use These Skills Coding agents are strong at writing code, but financial ML has failure modes that are easy to miss and expensi
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