Quant Data market statistics

Quant Data is a service that publishes measured market statistics for US stocks and ETFs, index futures, Hong Kong stocks and Chinese A-shares. This plugin connects that service to your AI assistant, so you can ask about things like breakout failure rates, volume waves, or options max pain and get real numbers back. It is handy if you follow markets and want a second, numbers-based view instead of opinions.

What this MCP server does

You ask your AI a question about a market, like how often a certain breakout fails or where options max pain sits for a ticker. The AI uses this helper to send your question to Quant Data. Quant Data runs its measurements and sends back numbers, event lists and short descriptions. The AI then explains those numbers to you in the chat, along with the disclaimer that comes with every response. Nothing is a buy or sell recommendation, it is just measured history.

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What you can do with it

• Ask how often breakouts like the one you are watching have failed historically
• Check whether a pullback is happening on low volume
• Look up options max pain for a stock or ETF this week
• See which way dealer gamma is leaning on a ticker
• Get a day-type probability read for the US day session
• Compare an event win rate against its baseline
• Read the measured verdicts on famous price-action claims

Try asking your AI

• “Did ES=F just break out of its range, and how often did breakouts like this fail?”
• “Is the pullback in ES=F happening on low volume?”
• “Where is max pain for TSLA this Friday?”
• “Which way is dealer gamma leaning on NVDA?”

What it gives back to you

You get back short written answers with numbers: event lists with historical win rates, a day-type probability breakdown, a plain description of the bars already printed, max pain levels per expiration, put/call ratios, and estimated dealer gamma exposure. The AI puts these into a normal chat reply, and every response carries a disclaimer that travels with the numbers. Some answers also name a baseline so you can see whether a rate is actually meaningful.

Before you start

Who it's for

Traders, analysts and finance-minded office workers who follow US stocks, ETFs, futures or Asian markets and want measured statistics rather than opinions.