{"repo":"AKKI0511/QuantTradeAI","free":true,"listed":false,"github":"https://github.com/AKKI0511/QuantTradeAI","clone":"git clone https://github.com/AKKI0511/QuantTradeAI.git","description":"A quant research lab built for AI coding agents to test, compare, and deploy trading strategies from one CLI workspace","language":"Python","stars":12,"topics":["machine-learning","quantitative-finance","ai-agents"],"license":"MIT","category":"trading","readme_excerpt":"QuantTradeAI Give your coding agent a quant research lab, not a blank terminal. Getting Started · Project YAML · Docs · Roadmap · Contributing --- QuantTradeAI is built for coding agents — Claude Code, Codex, Cursor, and similar tools — to research trading strategies without repeatedly writing data, backtest, sweep, artifact, and deployment plumbing from scratch. You give the research objective. The agent uses a generated workspace, config/project.yaml , and the quanttradeai CLI to run repeatable strategy experiments, compare artifacts, and recommend winners. --- Why QuantTradeAI AI agents can write code, but quant research requires repeatable infrastructure. Without structure, agents write one-off scripts, scatter outputs across directories, and produce runs that cannot be compared or built on. Every session starts fresh with no memory of what worked. QuantTradeAI provides: - A stable experiment environment — one project config drives data, features, research, and agents - Standardized run artifacts — every run writes structured outputs agents can read directly - A promotion model — backtest → paper → live, with live execution gated behind explicit human approval Before and After Without QuantTradeAI With QuantTradeAI :--- :--- :--- Setup Agent writes custom fetch and backtest scripts each time Agent reuses the quanttradeai CLI against one project config Outputs Scattered across ad-hoc directories Every run writes to runs/ with standardized artifacts Comparison No way to com","default_branch":null,"files":null,"tree":[],"storefront":"/r/AKKI0511","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AKKI0511/QuantTradeAI/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}