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Start at the top and work down, or jump to whatever you're curious about. Every lesson is a short episode from the channel, with its key ideas, a two-question check and a simulation to try. Your progress is saved in this browser.

Track 1

Beginner series

From what quant finance is to simulating thousands of futures. Time, risk and probability, then all three together.

0 of 5 complete
  1. Lesson 1, 3:02What is quant finance?
  2. Lesson 2, 4:51Time value of money
  3. Lesson 3, 2:53Risk vs volatility: what you need to know
  4. Lesson 4, 3:46Monte Carlo simulations explained
  5. Lesson 5, 4:48Putting it all together
Track 2

The math of randomness

Random walks, expected value, volatility and log returns: the building blocks every pricing model starts from.

0 of 4 complete
  1. Lesson 1, 4:00Brownian motion explained
  2. Lesson 2, 3:26Why a positive expected value doesn't guarantee profit
  3. Lesson 3, 3:43Why volatility ≠ risk
  4. Lesson 4, 3:39The math trick quants use instead of prices
Track 3

Correlation and portfolios

How assets move together, why diversification works, when it fails, and how portfolio risk is really measured.

0 of 6 complete
  1. Lesson 1, 4:37What is correlation, really?
  2. Lesson 2, 5:05Covariance vs correlation
  3. Lesson 3, 4:28Why does diversification actually work?
  4. Lesson 4, 4:38When diversification fails
  5. Lesson 5, 6:30What determines the risk of a portfolio?
  6. Lesson 6, 5:47The risk versus return trade-off
Track 4

Distributions and tail risk

The bell curve, why markets break it, and the rare events that matter more than every normal day combined.

0 of 5 complete
  1. Lesson 1, 3:49Normal distribution in finance
  2. Lesson 2, 4:04Why markets aren't normal
  3. Lesson 3, 3:54Skewness and kurtosis explained
  4. Lesson 4, 3:25Tail risk: when markets go extreme
  5. Lesson 5, 3:50Black swan events explained