About
What this is
Hexa Scholar is a set of interactive lessons in university mathematics, statistics and quantitative finance, written for US college students. Each lesson takes one result that is hard to picture. You make a guess or a move first, watch the figure respond, build the proof one line at a time, and then solve practice problems whose answers are checked.
The site has two halves, like the hexagon on the home page. Math covers foundations (calculus, linear algebra, and proof, logic and sets), analysis and pure mathematics, and applied mathematics and statistics. Quant covers finance foundations, financial mathematics, and financial engineering and risk management. The map shows how the subjects connect across the two halves, for example where countable sets reappear in probability and martingales reappear in option pricing.
Every lesson follows the same five steps: Start (a big question and a short warm-up), See, Try, Prove and Apply. The Math and Quant pages list the lessons that are open now and the ones still in preparation. New lessons are added regularly.
Accounts, member features and lecture videos are planned. For now the pages store your answers in your browser only. See the Privacy Policy.
How the lessons are made
The Hexa Valuation team designs and builds every lesson: the question it opens with, the moves you make, the figures, the proofs and the practice problems. AI tools are our helpers along the way, for drafting text and code and for checking our work. Every figure is drawn by code written for that lesson, not by an image generator. No AI runs while you use the site, and nothing on a page is generated while you read it.
We do not copy textbook text, figures or exercises, and we do not reword them. Each lesson lists a few books for further reading.
How the lessons are checked
No lesson goes live until it has passed the Hexa Valuation team's review, a multi-stage process in which AI tools assist us at every step. We work through each proof line by line, hunt for unstated assumptions, wrong answer options that could also be read as right, and explanations that claim more than they show, and we try every interaction on a phone, with a mouse and with the keyboard alone.
Every number a lesson shows, and the answer to every practice problem, is computed twice: once by the lesson's own code and once by an independent program written separately in Python. A lesson is published only when the two agree and the review finds nothing left to fix. The badges at the top of each lesson show which checks it has passed.
If you find a mistake
Careful review lowers the chance of a mistake but cannot rule one out. The lessons are teaching material and have not been through academic peer review. If something looks wrong, please tell us. See Corrections.
Who runs it
Hexa Scholar is run by the Hexa Valuation team, led by a mathematics graduate with an MBA who is a CFA® charterholder.
Contact: [email protected]