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quantitative analysis

Project description

PyPI version Python versions Python downloads build codecov

Quantitative analysis and pricing tools.

btcvol

Installation

pip install quantflow

Modules

Optional dependencies

  • data — data retrieval: pip install quantflow[data]
  • ai — MCP server for AI clients: pip install quantflow[ai,data]

MCP Server

Quantflow exposes its data tools as an MCP server, allowing AI clients such as Claude to query market data, crypto volatility surfaces, and economic indicators directly.

Install with the ai and data extras:

pip install quantflow[ai,data]

API keys

Store your API keys in ~/.quantflow/.vault:

fmp=your-fmp-key
fred=your-fred-key

Or let the AI manage them for you via the vault_add tool once connected.

Claude Code

claude mcp add quantflow -- uv run qf-mcp

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "quantflow": {
      "command": "uv",
      "args": ["run", "qf-mcp"]
    }
  }
}

Available tools

Tool Description
vault_keys List stored API keys
vault_add Add or update an API key
vault_delete Delete an API key
stock_indices List stock market indices
stock_search Search companies by name or symbol
stock_profile Get company profile
stock_prices Get OHLC price history
sector_performance Sector performance and PE ratios
crypto_instruments List Deribit instruments
crypto_historical_volatility Historical volatility from Deribit
crypto_term_structure Volatility term structure
crypto_implied_volatility Implied volatility surface
crypto_prices Crypto OHLC price history
ascii_chart ASCII chart for any stock or crypto symbol
fred_subcategories Browse FRED categories
fred_series List series in a FRED category
fred_data Fetch FRED observations

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