HPSILab Quant Finance

Name: HPSILab Quant Finance
Author: haiyunsky

MCP serverMCP

HPSILab Quant finance MCP for US stocks, ETFs, options, Monte Carlo, backtesting, and risk analysis.

by haiyunskyrepository ↗homepage ↗v0.10.1MIT

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability108/108 checks ok

when	check	result	http	latency	detail
7 h ago	mcp initialize	ok	200	859 ms	server hpsilab-quant-finance 1.4.3 · protocol 2025-06-18 · 10 tools
14 h ago	mcp initialize	ok	200	750 ms	server hpsilab-quant-finance 1.4.3 · protocol 2025-06-18 · 10 tools
21 h ago	mcp initialize	ok	200	755 ms	server hpsilab-quant-finance 1.4.3 · protocol 2025-06-18 · 10 tools
28 h ago	mcp initialize	ok	200	785 ms	server hpsilab-quant-finance 1.4.3 · protocol 2025-06-18 · 10 tools
35 h ago	mcp initialize	ok	200	758 ms	server hpsilab-quant-finance 1.4.3 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	757 ms	server hpsilab-quant-finance 1.4.3 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	280 ms	server hpsilab-quant-finance 1.4.3 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	738 ms	server hpsilab-quant-finance 1.4.3 · protocol 2025-06-18 · 10 tools
3 d ago	mcp initialize	ok	200	772 ms	server hpsilab-quant-finance 1.4.3 · protocol 2025-06-18 · 10 tools
3 d ago	mcp initialize	ok	200	743 ms	server hpsilab-quant-finance 1.4.3 · protocol 2025-06-18 · 10 tools

Tools observed via MCP handshake

register_account — Register a free hpsilab account for yourself, with no human involvement, and receive an API key immediately. Call this when you are hitting anonymous d
get_iv_radar — Implied-volatility (IV) structure for a stock: how expensive options are, whether volatility is being squeezed, and whether traders are paying up for up
get_monte_carlo — Monte Carlo price simulation for the next ~10 trading days: thousands of random price paths estimate a likely price range and the odds of finishing high
get_ai_prediction — AI next-day prediction: probability the stock closes UP, a paper-trading buy/watch/sell lean (research only, not a trade instruction), and how strongly
get_equity_curve — Backtest performance of the quant strategy across your watchlist: Sharpe ratio, max drawdown, win rate and total return per symbol. Available to every
get_option_pressure — Option-chain pressure map for the nearest weekly/monthly expiry — Max Pain, dealer Gamma Wall, likely weekly high, and an extreme squeeze target. Args:
analyze_stock — Aggregate all quant tools into one JSON stock analysis. The tool reuses the existing MCP tools as its data sources, then derives a direction signal, di
get_pretrade_risk_scan — Full pre-trade risk scan JSON for a stock. Pro tool ($0.15/call via x402 for anonymous callers; Credits for signed-in accounts). Signed-in hpsilab user
generate_stock_images — Generate stock-report PNG images and return their URLs. This is intentionally separate from analyze_stock so the JSON analysis stays fast and light. Th
generate_stock_research_report — Full markdown research report with five stock-report charts. Pro tool ($0.35/call via x402 for anonymous callers; free within plan limits for signed-in

Declared by sources

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No long description beyond the summary.

mcpmcp-servermodel-context-protocolquantitative-financefinancial-researchus-equitiesetf-analysisstock-analysisoptions-analyticsimplied-volatilitymonte-carlobacktestingrisk-analysisai-agentclaude-mcpcursor-mcpchatgpt-mcp

kind Official MCP Registry

name Official MCP Registry

license PyPI

repoUrl Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

homepageUrl Official MCP Registry

publisherName Official MCP Registry

Provenance

Where this record came from

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PyPIhpsilab-quant-finance-mcp

first seen 1 mo ago · fetched 5 h agoopen ↗

Official MCP Registryio.github.haiyunsky/hpsilab-quant-finance-mcp

first seen 1 mo ago · fetched 3 d agoopen ↗

Field history (11 recent events)

8 d ago · declared · version → "0.10.1"
9 d ago · observed · packageFacts → {"name":"hpsilab-quant-finance-mcp","registry":"pypi","publishedAt":"2026-09-30T12:10:14.038044Z","latestVersion":"0.10.
1 mo ago · declared · license → "MIT"
1 mo ago · observed · packageFacts → {"name":"hpsilab-quant-finance-mcp","registry":"pypi","publishedAt":"2026-08-28T01:17:03.834272Z","latestVersion":"0.10.
1 mo ago · declared · repoUrl → "https://github.com/haiyunsky/hpsilab-quant-finance-mcp"
1 mo ago · declared · summary → "HPSILab Quant finance MCP for US stocks, ETFs, options, Monte Carlo, backtesting, and risk analysis."
1 mo ago · declared · protocols → ["mcp"]
1 mo ago · declared · version → "0.10.0"
1 mo ago · declared · description → "HPSILab Quant finance MCP for US stocks, ETFs, options, Monte Carlo, backtesting, and risk analysis."
1 mo ago · declared · publisherName → "haiyunsky"
1 mo ago · declared · homepageUrl → "https://hpsilab.com"

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