Agent
Discoverability

HPSILab Quant Research

Stock and options research for US equities: pre-trade risk checks, implied volatility, options positioning, Monte Carlo price ranges and backtests. Research only; it never places trades.

View in the Claude registry
Brand
HPSILab
Category
Finance
Integration details

Description

HPSILab gives your assistant a quantitative research layer for US stocks and ETFs. Ask about a ticker and it can: - Run a pre-trade risk check before you buy: the stock's 10-day risk range against SPY, position-sizing checks, sector exposure and correlation with what you already hold. Each check returns pass, warn or fail with the rule behind it. - Read the options market: at-the-money and 30-day implied volatility, IV rank and percentile, the 25-delta risk reversal (skew), a squeeze score and the volatility regime. - Map options pressure for the nearest expiry: max pain, the dealer gamma wall, the likely weekly high and a squeeze target. - Simulate a Monte Carlo price range over the next ten trading days. - Show a strategy backtest equity curve. - Produce a full stock analysis, chart images or a written research report. Sign in with an HPSILab account (free to create). Market data may be delayed; every figure comes with its date and source. HPSILab is for research and education only. It does not give personalized investment advice and never executes trades.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Finance

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Stock & Investment Analysis Tools

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
HPSILab
Access
Account required
First tracked
2026-10-25
Tool count
9
Market
US
Agent DiscoverabilityClaude Discoverability Score

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Primary Subcategory
9 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
1Financial Datasets87/100
2Alpha Vantage MCP Server68/100
3Bigdata.com65/100
4Pinegap61/100
5FactSet AI-Ready Data39/100
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Tools

9 tools agents can invoke

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FAQs

HPSILab Quant Research Claude Connector FAQ

How the directory, categories and Discoverability Score work.

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How do I improve HPSILab Quant Research's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are HPSILab Quant Research alternatives on Claude?

As of 2026-10-28, HPSILab Quant Research competes with Financial Datasets, Alpha Vantage MCP Server, Bigdata.com, Pinegap, FactSet AI-Ready Data, viaNexus vAST, Twelve Data, FMP and 75 more in Claude Stock & Investment Analysis Tools, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.