quantitative analysis
Project description
Quantitative analysis and pricing tools.
Installation
pip install quantflow
Modules
- quantflow.ai MCP server for AI clients (requires
quantflow[ai,data]) - quantflow.data data APIs (requires
quantflow[data]) - quantflow.options option pricing and calibration
- quantflow.sp stochastic process primitives
- quantflow.ta timeseries analysis tools
- quantflow.utils utilities and helpers
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 |
Project details
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