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Uzbek school student builds QuantifyLab backtesting tool

The platform pairs a custom Python risk engine with an LLM-powered interface that turns strategies written in plain English into backtests. The Founders Community channel reports 675 users and more than 1,200 backtests run.

Tokhum AI · 1 min read · reviewed by Leyla
Photo: quantifylab.xyz

Key facts

  • QuantifyLab was built by a school student in Uzbekistan
  • The tool turns strategies written in plain English into backtests
  • It uses a custom Python risk engine and an LLM-powered interface
  • Founders Community reported 675 users and more than 1,200 backtests
  • The project has shipped 25 releases, according to the post

QuantifyLab, a tool for backtesting quantitative trading strategies, was built by a school student in Uzbekistan, according to a post published by the Founders Community Telegram channel on 19 October 2026. The channel described the project as having started as a school project and grown into a working product.

The tool runs on a custom Python risk engine with an LLM-powered interface, the post said. A user describes a trading strategy in plain English and the platform turns it into a backtest. The stated aim is to make backtesting of quantitative trading strategies more accessible.

Founders Community listed 675 users, more than 1,200 backtests run and 25 releases shipped. The channel also linked to quantifylab.xyz as the project's site.

The channel framed the project as an example of ideas coming from outside established startup hubs, pointing to the author's work of building, testing and repeatedly updating a product in a field where finance and programming meet.

Source:Founders Community, 19.10.2026

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