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name finclaw
description AI-native quantitative finance toolkit for OpenClaw. Use when: querying stock/crypto prices, running backtests, scanning stocks (US + China A-shares + Crypto), generating trading strategies from natural language, detecting market regimes, or checking backtest plausibility. Triggers: stock quote, backtest, trading strategy, market analysis, RSI, MACD, portfolio, paper trading, regime detection, A-share scanner, crypto signals, DeFi yields. NOT for: general math, non-financial data analysis, or web scraping.

FinClaw 🦀📈

AI-native quantitative finance engine. Zero API keys needed for basic features.

Install

pip install finclaw-ai

Core Commands

Quotes & Analysis

finclaw quote AAPL              # Stock quote
finclaw quote BTC-USDT          # Crypto quote
finclaw analyze TSLA --indicators rsi,macd,bollinger
finclaw chart AAPL --type candle

Backtesting

finclaw backtest -t AAPL --strategy momentum --start 2023-01-01
finclaw strategy list           # 20+ built-in strategies

AI Features

finclaw generate-strategy "buy when RSI < 30 and MACD golden cross"
finclaw copilot                 # Interactive AI assistant
finclaw regime --symbol AAPL    # Market regime detection (stable/volatile/crash)
finclaw check-backtest --sharpe 3.5 --win-rate 0.85  # Overfitting detection

A-Share Scanner (China)

finclaw scan-cn                 # Scan 322 A-share stocks
finclaw scan-cn --top 10        # Top picks

Crypto

finclaw crypto signals          # BTC/ETH/SOL RSI signals
finclaw defi scan               # DeFi yield scanner
finclaw defi recommend --budget 2000

Paper Trading

finclaw paper-report --init     # Initialize $100K portfolio
finclaw paper-report            # Daily report

MCP Server (for AI agents)

{
  "mcpServers": {
    "finclaw": {
      "command": "finclaw",
      "args": ["mcp", "serve"]
    }
  }
}

Key Differentiators

  • First quant tool with MCP support — Claude/Cursor can call financial tools directly
  • Natural language → strategy code — Describe in English/Chinese, get production code
  • Market regime detection — Auto-adjusts strategy for bull/bear/crash markets
  • 12+ exchange adapters — US stocks, crypto, China A-shares in one tool
  • Economic plausibility checker — Detects overfitted backtest results

Supported LLM Providers

OpenAI, Anthropic, DeepSeek, Gemini, Ollama (local), Groq, Mistral, Moonshot.

Python API

from finclaw import FinClaw
fc = FinClaw()
quote = fc.quote("AAPL")
result = fc.backtest(strategy="momentum", ticker="NVDA", start="2023-01-01")