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  • Thuztra Learn: Quant Finance screenshot 1
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About Thuztra Learn: Quant Finance

Train like a quant, starting from zero. Thuztra Learn takes you from everyday intuition to the maths and markets that trading and research interviews test. - A beginner path that assumes no maths: every term defined, one clear next step - Puzzles and brainteasers with worked, honest solutions - Real interview questions: probability, stochastic processes, markets - Mental math trainer for trading-floor arithmetic - A structured curriculum from foundations to econophysics and ML - Maths reference: Ito, Black-Scholes, GARCH, Kelly, and the models that matter - Jupyter notebooks members can download and run themselves - A glossary that says what terms actually mean, and resources with honest verdicts Built by Vansh Dhawan (@quant.dhawan) for everyone serious about markets: interview candidates, traders, and independent researchers.

What’s new

Version 1.0.750 · Updated September 29, 2026

This update makes learning steadier and more honest. • An article with a check counts as done once you answer it, and a wrong answer now shows the right one and names the mistake • Items can carry several checks, so each idea gets more than one test • Bookmark single articles, problems and resources, and find them in Bookmarks • Lectures remember where you stopped • Articles and figures you have opened stay readable offline after content updates • Sign out of every device from Account, and deleting your account now asks for a fresh email code • A switch on Account to stop sharing usage and crash reports • Larger tap targets, selectable reading text, and charts that respect reduced motion

App privacy

The developer, Vansh Dhawan, reported these privacy practices to Apple.

Data Linked to You

The following data, which may be collected and linked to your identity, may be used for the following purposes:

  • Usage Data: Product Interaction
  • Contact Info: Email Address
  • User Content: Other User Content
  • Identifiers: Device ID
  • Diagnostics: Crash Data, Performance Data

Used for: Analytics, App Functionality

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