wikidjon/ai-openclaw-cli — explained in plain English
Analysis updated 2026-05-18
Ask an AI agent to research a stock and backtest a trading strategy in one prompt
Browse and fork community-published trading strategies ranked by backtested performance
Connect quant research and backtesting tools into Claude Code, Cursor, or other MCP-compatible agents
| wikidjon/ai-openclaw-cli | amet2901/asterdex-trading-bot | bonny1220/solana-trading-bot | |
|---|---|---|---|
| Stars | 136 | 136 | 136 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 3/5 | 4/5 | 4/5 |
| Audience | developer | general | general |
Figures from each repo's GitHub metadata at analysis time.
Requires an OpenFinClaw API key (fch_ prefix) obtained during the install wizard.
OpenFinClaw is a command-line tool and MCP server that turns a single natural-language prompt into a full quantitative trading research workflow: researching an idea, generating a trading strategy, backtesting it against historical data, and optionally paper trading it, all from inside an AI coding assistant such as Claude Code or Cursor. MCP, short for Model Context Protocol, is the standard that lets an AI agent call outside tools, this project uses it to plug its research and backtesting capabilities into more than twenty different AI platforms. The tool includes over sixty built-in analysis skills spanning technical, fundamental, sentiment, risk, timing, and factor-based approaches, and covers five markets including US stocks, Chinese A-shares, Hong Kong stocks, crypto, and forex. A user can type a plain request, such as asking for RSI divergence signals on a stock or a momentum strategy backtested over two years, and the agent streams back research, a strategy definition, and backtest performance metrics. There is also a browser-based playground that requires no installation or API key for trying it out first. Installation is done through a Node package manager command that runs an interactive setup wizard: it writes MCP configuration files for detected AI agents, saves an API key locally, and registers a skill file so Claude Code and Cursor automatically recognize quant-related requests. The command-line interface groups its commands into a research assistant, a strategy management set, and system utilities like an installer, a doctor diagnostic check, and an update command. A community feature lets users browse a leaderboard of published trading strategies ranked by backtested performance, fork any strategy to their own machine to modify it, then publish their version back for independent server-side verification, so results are not self-reported. The project is written in TypeScript, distributed as an npm package, and released under the MIT license.
A CLI and MCP server that turns one natural-language prompt into a full quant research, strategy, and backtesting workflow inside AI agents like Claude Code and Cursor.
Mainly TypeScript. The stack also includes TypeScript, Node.js, MCP.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.