Chapters 01 & 02 — free, in full

Everything is a claim on one dollar.

A prediction market is the only asset class where the entire pricing theory fits on a napkin — and where almost every way to lose money is a theorem you skipped. This course builds the theory from the payoff up, one interactive lab at a time.

Prerequisite
Arithmetic
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01
The substrate

A price is a probability wearing a dollar sign

A Polymarket share is the simplest financial instrument ever issued. It pays exactly $1.00 if its event happens, and exactly $0.00 if it doesn't. There is no coupon, no duration, no counterparty spread to model. That single fact collapses all of pricing theory into one line: if the share costs q, the market is asserting that the event happens with probability q.

So your profit per share is just outcome − q, and your expected profit, if you believe the true probability is p, is:

EV per share = p × ($1 − q) − (1−p) × q = p − q return on capital = (p − q) / q break-even belief = q

Everything else in this course is a refinement of "find a market where p ≠ q and you're the one who's right." The refinements matter enormously — but never lose the thread. There are only two questions: how far is q from the truth, and how much should I bet on that.

One asymmetry deserves early attention. Return on capital is (p−q)/q, which explodes as q gets small. A 2¢ contract that's really worth 4¢ returns 100%. This is why longshot markets feel intoxicating and why they are where inexperienced money goes to die: the percentage return is enormous, the probability of collecting it is tiny, and the estimation error on a 2¢ fair value is frequently larger than the entire edge. Drag the sliders and watch the two columns diverge.

Lab 01 · payoff geometry
one share, one dollar
Vocabulary you'll need YES / NO — the two sides; buying NO at 40¢ is identical to selling YES at 60¢.
Touch — the best bid and best ask.
Resolution — the moment an oracle declares the outcome and shares redeem for $1 or $0.
02
The substrate

Where the money actually comes from

Before any strategy, absorb the accounting. A binary market is a closed pot. Every share that redeems for $1 was paid for by someone, and the market cannot pay out more than was put in. Before costs the game is exactly zero-sum. After costs — spread paid, gas, and the opportunity cost of capital frozen until resolution — it is negative-sum for the average participant.

That is not a reason to stay away. It's a reason to be specific. If you cannot name which of these four buckets your profit comes from, you don't have a strategy, you have exposure:

  • Information — you know something the price doesn't, because you gathered it, paid for it, or noticed it first.
  • Computation — you and the market see identical information, but you extract more structure from it: logical consistency across markets, joint distributions, correct sizing.
  • Liquidity — you are paid a spread (and, on Polymarket, a rewards subsidy) for standing ready to trade with people who need immediacy.
  • Speed — same information as everyone, arriving at your machine sooner.

And two counterfeits that feel like edge and aren't. Risk premium disguised as skill: loading up on longshots or heavily correlated positions raises returns and variance together; it's leverage, not alpha. Crossing the spread repeatedly: a strategy with a 1¢ true edge that pays a 2¢ spread has a negative edge, and no amount of being right fixes it.

Notice how the four buckets rank by durability. Speed decays fastest — the moment someone colocates a faster feed, your edge is arithmetic that runs on their machine instead of yours. Information is durable but expensive and doesn't scale. Computation is the strange one: it's the only bucket where the barrier is a hardness result rather than a resource, which is exactly why Chapter 04 is the longest in this course.

Lab 02 · the pot
conceptual, not measured
The first question a professional asks about a new strategy is not "does this work?" It is "who is on the other side, and why are they willing to lose?"

If you cannot answer that second question, the honest default is that you are the answer. On a venue where a measured $40M of pure arbitrage was harvested in twelve months, someone paid that $40M — and it was not the arbitrageurs.

The rest of the course

Eight more chapters, eight more labs

Chapters 01 and 02 are the substrate: what a price is, and where trading profit actually comes from. They are free, and they stay free.

The other eight are where the theory earns its keep — the ones that tell you how much to bet, which prices contradict each other, and what the clock is doing to a position while you hold it.

03Calibration, not accuracy Brier scores and why overconfidence is a sizing error, not a personality flaw.
04Free money from logic alone Dutch books, de Finetti's theorem, and the fine print that turns "guaranteed" into a total loss.
05Marginals never pin the corners Fréchet bounds — the joint distribution nobody is responsible for pricing.
06Kelly, and the cliff just past it Growth equals information. Bet twice the optimum and your edge is worth exactly zero.
07One signal, bet five times The correlation tax that makes five correctly-sized positions into one oversized one.
08Martingales & decay The p(1−p) variance budget, and the theta almost nobody charges for.
09The book bites back Walking the stack, adverse selection, and the market maker's equation.
10The frictions that eat the edge Capital lockup, spread-as-fee, and resolution risk priced as event risk.
Case files Six documented ways real money was made — and one that was taken.
The pre-trade checklist Eight questions. If you can't answer all eight, it isn't a trade.
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