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Model Match
Capital Markets

Volume forecast under a rate scenario

24 months of history plus a 6-month forecast with p10, p50 and p90 bands, based on the rate path you choose.

The prompt

Forecast purchase originations in Florida for the next 6 months, assuming the 30-year rate falls 1 point, and give me the p10/p50/p90 range.

How it works

Your assistant runs these steps against Model Match through the MCP:

  1. 1 Charts market activity month by month and, when asked, projects it forward with low, likely and high cases.
  2. 2 Writes up the answer: tables, rankings or a summary, depending on what you asked for.

Capital Markets

Note rate trend by product

Show the monthly average note rate by loan type (conventional, FHA, VA, HELOC) in Texas for the last 12 months next to the same months a year earlier, and flag where the spread between conventional and government loans has widened.

Monthly average rates for each loan type, with the prior-year series for comparison.

Capital Markets

Loan-level FHA sample

Pull the most recent FHA loans closed in Hillsborough County, FL over the last 90 days with note rate, loan amount, credit score, LTV, DTI, amortization type and channel, so I can eyeball pricing dispersion.

De-identified loan-level rows with rate, amount, credit score, LTV, DTI, term, amortization and channel, plus a total count.

Bring Model Match into your AI assistant

Connect the Model Match MCP to your AI assistant and ask about loan officers, agents, lenders and markets in plain English, answered from real records.

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