24 lessons are open so far.
Why Hexa Scholar exists
One result at a time
Much of university math describes something changing: a sequence approaching its limit, a random path that never settles, a price that has to match the cost of a hedge. Each lesson takes one such result. You change an input, compare what happens with what you predicted, and then work through the proof.
You answer before the page does
Most lessons ask for a guess, a choice or a move before they show a result. The proof is assembled one line at a time, and every wrong option says why it fails. The problems at the end check your answers and offer hints and a worked solution.
Math and quant, side by side
Quantitative finance is built on the math: countable sets reappear in probability spaces, martingales in pricing, Itô's lemma in Black–Scholes. The two halves of the hexagon are kept together so you can follow one idea from where it starts to where it is used.
How lessons are made and checked
Lessons are drafted with AI tools. Before a lesson goes up, Node.js scripts test its calculations and practice answers, separate Python scripts recompute those results, and a second AI model (GPT) reviews the page until it passes. Review by human experts has not happened yet; each page shows which checks it has passed. To report a mistake, use the corrections page.