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Build a complete understanding of trading and quantitative finance through practical courses in probability, statistics, and markets.

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Research Validation and Backtesting

Why most research results are false by default, and the validation discipline that separates a paper Sharpe from a live one.

9 sections · 21 topics · 63 questionsLog in to track progress
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Programming for Quantitative Developers

The programming a quant developer interview actually tests: the data structures you implement, the parsing nobody teaches, the complexity bounds that fail silent solutions, and order books.

7 sections · 33 topics · 79 questionsLog in to track progress
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Systems Programming for Trading

The C++ that low-latency trading firms interview on: object layout and ownership, concurrency built from primitives, compile-time programming, and reading code that is already broken.

6 sections · 27 topics · 68 questionsLog in to track progress
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Prediction Markets Trading

How event contracts work and how to trade them: probability-space pricing, market making, arbitrage structures, calibration, and the risks that actually bite.

4 sections · 14 topics · 28 questionsLog in to track progress
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Game Theory and Strategic Trading

Strategic reasoning for markets and interviews: equilibrium, private information, adverse selection, and sizing a bet against someone who is optimising too.

5 sections · 18 topics · 36 questionsLog in to track progress

Introduction to Markets, Trading and Risk

A focused introduction to trading, market making, and execution strategy. Build intuition around core concepts like order flow, pricing, and risk management.

8 sections · 36 topics · 74 questionsLog in to track progress
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Fundamentals of Probability and Statistics

A comprehensive and practical introduction to the core concepts of probability and statistics used in quantitative trading.

10 sections · 42 topics · 86 questionsLog in to track progress
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Advanced Topics in Probability and Statistics

A practical continuation of probability and statistics fundamentals, focusing on advanced models and inference techniques used in quantitative finance.

10 sections · 47 topics · 112 questionsLog in to track progress
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Asset Classes and Trading Products

Learn how equities, bonds, ETFs, futures, options, commodities, and currencies are structured, priced, and traded. A practical foundation for trading and quant roles.

7 sections · 48 topics · 96 questionsLog in to track progress

Introduction to Digital Assets

Learn how digital asset markets operate, how they differ from traditional finance, and how to approach them as a trader.

5 sections · 19 topics · 38 questionsLog in to track progress
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Basics of Quantitative Finance

Build a rigorous foundation in quantitative finance with a focus on pricing logic, probabilistic modeling, and portfolio analytics.

7 sections · 30 topics · 67 questionsLog in to track progress

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  • Every lesson in every course, with the worked examples and interactive simulators
  • Graded questions on every lesson, with explanations for the wrong answers as well as the right one
  • The trainers, timed assessments and brainteaser library that go with them