Panther

Backtest any trading strategy by describing it to Claude, ChatGPT, or Gemini.

Panther gives your AI assistant the tools to fetch market data, run backtests, and show you the results — no code required. Just describe your strategy in plain English.

Quick Start

1. Get your API key

Sign up free at panther.watch and copy your API key.

2. Install

Claude Desktop — add to your claude_desktop_config.json:

{
  "mcpServers": {
    "panther": {
      "command": "uvx",
      "args": ["panther-mcp"],
      "env": {
        "PANTHER_API_KEY": "pthr_your_key_here"
      }
    }
  }
}

Claude Code:

claude mcp add panther -e PANTHER_API_KEY=pthr_your_key -- uvx panther-mcp

ChatGPT (Pro/Team/Enterprise — Developer Mode):

Add as custom MCP server: https://panther.watch/mcp/

Gemini CLI:

{"mcpServers": {"panther": {"command": "uvx", "args": ["panther-mcp"], "env": {"PANTHER_API_KEY": "pthr_..."}}}}

Any MCP client (Cline, Cursor, VS Code Copilot, etc.):

uvx panther-mcp

3. Start backtesting

Just tell your AI what strategy you want to test:

"Backtest a golden cross strategy (SMA 50/200) on BTC/USDT over 2024"

You'll get results including return, Sharpe ratio, drawdown, every trade, and a shareable link to the full report.

Available Tools

Tool	Description
list_available_assets	Browse 30+ tradeable assets (crypto, forex, commodities)
get_price_data	Fetch historical OHLCV price data with summary stats
run_backtest	Define strategy with indicators + conditions, execute backtest
get_backtest_status	Poll running backtest status + progress
get_backtest_results	Get performance metrics + shareable panther.watch link
list_backtests	View your backtest history
optimize_strategy	Run parameter sweeps across combinations
get_optimization_status	Poll optimization progress
get_optimization_results	Get ranked parameter results
list_optimizations	View optimization history
run_portfolio_backtest	Test a strategy across multiple weighted assets
get_portfolio_backtest_status	Poll portfolio backtest progress
get_portfolio_backtest_results	Get portfolio + per-asset results

Supported Assets

Type	Source	Examples
Crypto	Binance (CCXT)	BTC/USDT, ETH/USDT, SOL/USDT + 17 more
Forex	IC Markets (cTrader)	EUR/USD, GBP/USD, USD/JPY + 7 more
Commodities	IC Markets (cTrader)	XAU/USD (Gold), XAG/USD (Silver)

Features

• 25 indicators — SMA, EMA, RSI, MACD, BB, VWAP, ATR, Stochastic, ADX, OBV, Supertrend, Ichimoku, and 13 more
• Short selling — Long, short, or bidirectional strategies
• Strategy optimization — Parameter sweeps with constraints and ranking by any metric
• Portfolio backtesting — Test across multiple weighted assets with portfolio-level metrics

Example Strategies

Golden Cross:

"Backtest SMA 50/200 crossover on BTC/USDT daily for 2024"

RSI Mean Reversion:

"Buy when RSI(14) drops below 30, sell above 70 on EUR/USD daily with 5% stop loss"

MACD Crossover:

"Enter when MACD line crosses above signal line, exit on reverse, on ETH/USDT daily"

Portfolio:

"Backtest RSI strategy on a portfolio of 60% BTC and 40% ETH over 2024"

Optimization:

"Optimize the SMA crossover on BTC — try fast period 10-50 step 10, slow period 50-200 step 50"

Shareable Results

Every backtest gets a public URL you can share on Twitter, Discord, or with your trading community:

https://panther.watch/backtests/<backtest-id>

Results include performance metrics, equity curve chart, and full trade list.

Development

git clone https://github.com/PantherWatch/panther-mcp.git
cd panther-mcp
uv sync
PANTHER_API_KEY=pthr_... uv run panther-mcp

License

MIT