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mirror29/openfinclaw-cli

Developer tools

이 페이지는 AI로 자동 번역되었습니다. 기술적인 세부 사항은 원문을 확인하세요. 원문 보기

24 stars 품질 74 트렌드 14

One-stop quant-trading AI agent — research · strategy · backtest · paper trade from one prompt. Works in Claude Code, Cursor, and 20+ AI agents via MCP. 60-second install with auto Skill registration.

개요

Research · strategy · backtest · paper trade — ship a complete quant workflow from a single natural-language prompt, inside Claude Code, Cursor, and 20+ AI agents. Run a full research → strategy → backtest loop in your browser. No install, no API key, real market data. Live output from openfinclaw deepagent research — one prompt: research → strategy → backtest → metrics. Copy-paste any of these into openfinclaw deepagent research "…" (or drop them straight into your AI agent). Each one runs the full research → strategy → backtest loop. - Find RSI divergence signals on NVDA in the last 6 months, then backtest them. - Compare a Bollinger Bands strategy on TSLA vs AAPL over 1 year — which wins? - Screen the S&P 500 for golden-cross signals this month. - Pull Apple's last 8 quarters of revenue, margins, and guidance. Summarize the trend. - What's driving the NVDA move this quarter — earnings, guidance, or narrative? - Compare AMD / INTC / NVDA on growth, margin, and valuation.

README

원문 README의 일부입니다. 원문 보기.


What you get

🧠 DeepAgent analysis skills 60+ built-in — technical · fundamental · sentiment · risk · timing · factor
🌍 Markets covered 5 — US equities · A-shares · HK · Crypto · Forex
🤖 Works with 20+ AI platforms — Claude Code · Cursor · VS Code · Hermes · Windsurf · Codex …
🔄 End-to-end flow research → strategy → backtest → paper trade → publish to the leaderboard
⚡ How you interact streaming token-by-token in the terminal · MCP tool calls · in-browser playground

Live output from openfinclaw deepagent research — one prompt: research → strategy → backtest → metrics.


Example Prompts

Copy-paste any of these into openfinclaw deepagent research "…" (or drop them straight into your AI agent). Each one runs the full research → strategy → backtest loop.

📈 Technical analysis

  • Find RSI divergence signals on NVDA in the last 6 months, then backtest them.
  • Compare a Bollinger Bands strategy on TSLA vs AAPL over 1 year — which wins?
  • Screen the S&P 500 for golden-cross signals this month.

📊 Fundamentals & macro

  • Pull Apple's last 8 quarters of revenue, margins, and guidance. Summarize the trend.
  • What's driving the NVDA move this quarter — earnings, guidance, or narrative?
  • Compare AMD / INTC / NVDA on growth, margin, and valuation.

🎯 Strategy generation

  • Design a momentum strategy on US mega-cap tech. Backtest 2y. Tell me where it breaks.
  • Write a mean-reversion strategy on BTC and show drawdown behavior through 2022.
  • A-shares 沪深 300 日内轮动策略,年化目标 15%,最大回撤 < 10%。

🧪 Backtest & stress-test

GitHub에서 전체 README 보기

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