Question 1

What is thesisgoat?

Accepted Answer

thesisgoat is an equity research desk with specialized information. It pairs alt-data tools (store footprint map, market-structure metrics) with the overfitting tests used in academic quant papers — Deflated Sharpe, CPCV, Probability of Backtest Overfitting, Harvey-Liu-Zhu multiple-testing haircut, stationary-bootstrap SPA, and walk-forward.

Question 2

How is thesisgoat different from generic financial platforms?

Accepted Answer

Most platforms surface the same fundamentals everyone else has. thesisgoat focuses on things that are harder to assemble: decade-scale store-footprint maps by brand, market-concentration math at the segment level, and a validation suite that tells you when a backtest is overfit.

Question 3

Is thesisgoat free?

Accepted Answer

Yes, it's free while the product is still being figured out. Sign in with Google or email to get access.

Question 4

Who is thesisgoat for?

Accepted Answer

Analysts, portfolio managers, and serious investors who want a thesis they can actually stress-test, plus finance and economics students who want to see what real validation looks like. It is not for copy-trade signal seekers or day traders looking for tick-level order flow.

Question 5

Does thesisgoat prevent overfitting?

Accepted Answer

It measures it. Deflated Sharpe Ratio (Bailey & López de Prado) corrects for the number of trials. CPCV cross-validates without lookahead. PBO returns the probability your backtest is overfit. Harvey-Liu-Zhu haircuts the Sharpe for multiple testing. If your signal is overfit, the platform tells you how badly.