SystemSelf reportedCryptoPythonaiai-tradeai-trading-algorithmcrypto-tradingcryptocurrency

moss-trade-bot-skills

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.

System Structure

Data Used
Hyperliquid가격/거래량 데이터
Rules / Strategy

저장소별 전략/실행 조건 확인 필요

Execution

거래소 API 기반 자동 주문 실행

Editor Summary

저장소 설명과 공개 메타데이터 기준으로 AI/LLM 또는 머신러닝 활용, Python 기반 구현, 암호화폐 거래 봇, 거래소 API/프레임워크 성격의 프로젝트로 파악했습니다. 확인 근거는 README, 저장소 토픽, 저장소 설명, GitHub 지표, 파이프라인 필드이며, 주요 데이터는 Hyperliquid, 가격/거래량 데이터입니다. 전략/실행 조건은 저장소별 문서와 코드 확인이 필요하며, 실행 방식은 "거래소 API 기반 자동 주문 실행"라고 보수적으로 기록했습니다. GitHub 지표는 별 327개, 포크 34개입니다.

Repositorymoss-site/moss-trade-bot-skills
Creatormoss-site
Stars / Forks★ 327 / 34
LicenseMIT-0
Last Updated2026-07-02
Snapshot Date2026-07-08 (README below is a copy from this date)

This is third-party open-source code. QuantField does not guarantee its behavior or safety. Review the code before installing or running it.

README

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:

Install This Skill: https://github.com/moss-site/moss-trade-bot-skills/tree/v1.0.28/moss-trade-bot-factory

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: Released lightweight v1.0.26 Skill distribution. Skill code is pinned by Git ta