{"repo":"0xbet-ai/QuantDesk","free":true,"listed":false,"github":"https://github.com/0xbet-ai/QuantDesk","clone":"git clone https://github.com/0xbet-ai/QuantDesk.git","description":"AI-agent workspace for quantitative trading — backtest, validate, and paper trade strategies with multi-agent collaboration","language":"TypeScript","stars":19,"topics":["ai-agents","algorithmic-trading","backtesting","crypto","defi","freqtrade","nautilus-trader","open-source","paper-trading","quantitative-trading"],"license":"AGPL-3.0","category":"trading","readme_excerpt":"English · 한국어 · 中文 · 日本語 · Español QuantDesk AI-agent workspace for quantitative trading Quickstart · GitHub What is QuantDesk? Find profitable strategies fast — before the market moves on. In the vibe coding era, hundreds of products ship every day, but maintenance and iteration are the real bottleneck. Trading strategies are different: a strategy that works for one day is already profitable. When it stops working, you find the next one. The hard part isn't writing the code — it's the tedious cycle of downloading data, backtesting, tweaking parameters, checking for overfitting, and validating in paper mode. QuantDesk automates this entire loop with AI agents so you can focus on the ideas, not the plumbing. Every script runs inside an isolated Docker container. Nothing touches your host machine — strategies, backtests, data fetches, and paper trading all execute in sandboxed containers with pinned images. Your local environment stays clean no matter what the agent writes. Step What happens ------ ------------------------- ------------------------------------------------------------------------------------------------------ 01 Describe your strategy Tell the Analyst agent what you want to trade — in plain English. Or pick from the curated catalog. 02 Backtest and iterate The agent writes strategy code, fetches data, runs backtests, and iterates based on results. 03 Validate with Risk Manager Flag the results for validation. The Risk Manager c","default_branch":null,"files":null,"tree":[],"storefront":"/r/0xbet-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/0xbet-ai/QuantDesk/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."}