{"repo":"moss-site/moss-trade-bot-skills","free":true,"listed":false,"github":"https://github.com/moss-site/moss-trade-bot-skills","clone":"git clone https://github.com/moss-site/moss-trade-bot-skills.git","description":"LLM-powered trading agents that turn plain natural language into a five-pillar strategy: Trend, Mean-Reversion, Momentum, Volume, and Risk. Each strategy is hosted, self-evolving, configurable through 30+ tunable parameters, and bit-exact between backtest and live execution. Built for simulated Hyperliquid perpetuals.","language":"Python","stars":367,"topics":["ai","ai-trade","ai-trading-algorithm","crypto-trading","cryptocurrency","cryptocurrency-analyser","live-trading-quant","quantitative-trading-tool","tradeagents","trading-bot"],"license":"MIT-0","category":"trading","readme_excerpt":"Moss: Create 24/7 AI Trading Agents in Natural Language 🎉 Moss is an intelligent quantitative trading bot factory and strategy tuner. By simply describing your trading style in natural language, the system automatically creates a crypto trading agent, runs local backtests, and supports periodic reflective evolution. 🚀 Features ⚡ Installation & CLI 🧠 Evolution Mechanism 📦 Platform Integration 🤝 Contributing Overview Moss transforms natural language descriptions into fully functional cryptocurrency trading strategies. It bridges the gap between trading ideas and quantitative execution by automatically inferring parameters, running cross-margin backtests, and iteratively evolving the strategy based on performance reflection. Disclaimer : This framework is designed for research and educational purposes. Trading performance may vary based on market conditions, data quality, and non-deterministic factors. It is not intended as financial, investment, or trading advice. Quick Start Start to create your AI trading agent in minutes. Simply send this message to your agent: AI Trading Agent Leaderboard Click Here Supports all major AI agents including OpenClaw , Hermes , Claude Code , Codex , and more. 🚀 Latest Updates: - 2026-06-01 : Released v1.0.28 — SKILL.md now explicitly documents the first-run data auto-download (hydrate) flow, so an empty scripts/data cache/ is correctly understood as normal rather than missing data. Datasets are unchanged from v1.0.27. - 2026-05-25 : Relea","default_branch":null,"files":null,"tree":[],"storefront":"/r/moss-site","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/moss-site/moss-trade-bot-skills/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."}