io.github.haiyunsky/hpsilab-quant-finance-mcp
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Publisher-provided title
HPSILab Quant Finance
Publisher-provided description
Stock & options risk analytics for AI agents: pre-trade risk scan, IV, gamma walls, Monte Carlo.
Summary by lookupd
Gives agents stock and options risk analytics: pre-trade risk scans, implied volatility, gamma walls, Monte Carlo price simulations, and…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http hpsilab-quant-finance https://hpsilab.com/mcp
Claude Code, pypi package (stdio)
claude mcp add hpsilab-quant-finance -- uvx hpsilab-quant-finance-mcp
Codex, remote (streamable-http)
codex mcp add hpsilab-quant-finance --url https://hpsilab.com/mcp
Codex, pypi package (stdio)
codex mcp add hpsilab-quant-finance -- uvx hpsilab-quant-finance-mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"hpsilab-quant-finance": {
"url": "https://hpsilab.com/mcp"
}
}
}Cursor, pypi package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"hpsilab-quant-finance": {
"command": "uvx",
"args": [
"hpsilab-quant-finance-mcp"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (10 tools)
Publisher-provided text
register_accountRegister a free hpsilab account for yourself, with no human involvement, and receive an API key immediately. Call this when the user has no API key yetget_iv_radarImplied-volatility (IV) structure for a stock: how expensive options are, whether volatility is being squeezed, and whether traders are paying up for upget_monte_carloMonte Carlo price simulation for the next ~10 trading days: thousands of random price paths estimate a likely price range and the odds of finishing highget_ai_predictionAI next-day prediction: probability the stock closes UP, a paper-trading buy/watch/sell lean (research only, not a trade instruction), and how stronglyget_equity_curveBacktest performance of the quant strategy across your watchlist: Sharpe ratio, max drawdown, win rate and total return per symbol. Available to everyget_option_pressureOption-chain pressure map for the nearest weekly/monthly expiry — Max Pain, dealer Gamma Wall, likely weekly high, and an extreme squeeze target. Returanalyze_stockAggregate all quant tools into one JSON stock analysis. The tool reuses the existing MCP tools as its data sources, then derives a direction signal, diget_pretrade_risk_scanFull pre-trade risk scan JSON for a stock. Pro tool ($0.15/call via x402 for anonymous callers; Credits for signed-in accounts). `riskDeltas` comparesgenerate_stock_imagesGenerate stock-report PNG images and return their URLs, with the charts attached as PNG image content so the assistant can see them. The JSON (symbol,generate_stock_research_reportFull markdown research report with its most relevant stock-report charts attached as images. Pro tool ($0.35/call via x402 for anonymous callers; free withi
Details
- Version: 0.11.1
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- Median latency: 1137 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/haiyunsky/hpsilab-quant-finance-mcp
- Website: https://hpsilab.com
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