9. Kalshi: Regulated Event Contracts
A CFTC-regulated exchange where every market is a binary probability — and the fee curve is the strategy.
*Some series — notably the S&P 500 / Nasdaq-100 index markets — carry maker fees: since July 2025 a quadratic schedule of ⌈0.0175·C·p·(1−p)⌉, exactly a quarter of the taker fee (it replaced the old flat 0.25¢-per-contract maker fee). Those same index series also take at a halved 0.035 multiplier. Kalshi's 2025 fee-generating volume: $22.9B, with sports ≈ 89% of fee revenue; the venue raised $1B at a $22B valuation in May 2026 and was reportedly seeking ~$40B by June 2026 — young terrain, fast-changing rules. Always re-read the fee schedule.
The mechanics that matter
- One book, two views. The book stores YES bids and NO bids; a YES bid at 7¢ is a NO ask at 93¢. "Buying NO" and "selling YES" are the same act.
- Prices are probabilities. 1¢–99¢, tick = 1¢ (with finer sub-penny structures rolling out via
price_ranges[].step). - MM-friendly API. Amend Order (keep the order's identity; note the fine print — only a size decrease preserves your FIFO spot; a reprice goes to the back of the queue, Ch. 7), batch create/cancel, queue-position endpoint (you can see your FIFO position), self-trade prevention modes (
taker_at_cross/maker),cancel_order_on_pause. These exist because Kalshi wants makers. - Idle cash earns interest (3.25% APY, variable — and it accrues on open-position collateral too), softening the cost of parked capital.
The taker fee: a parabola that designs your strategy for you
Kalshi's taker fee per contract is 0.07·p·(1−p) — a parabola peaking exactly at p = 50¢, where it costs ~1.75¢ per contract. Explore it:
Why quote only the 30–70¢ band?
- Tail asymmetry: sell a 95¢ YES that resolves against you and you lose 95¢ to win 5¢ — one informed counterparty erases 19 good trades.
- Tick coarseness: at 3¢, one tick is 33% of the price; spreads can't compress to fair levels.
- Flow quality: the center is where genuine two-way uncertainty (and noise flow) lives; the tails attract precisely the flow that knows something.
8. Brownian Motion vs. Jump-Diffusion: Why Sports Break the Textbook
Avellaneda–Stoikov assumes prices diffuse smoothly. A tennis market doesn't diffuse — it detonates, point by point.
10. Polymarket: On-Chain Prediction Markets
A hybrid CLOB settling in USDC on Polygon — where the house pays you a daily salary just for resting good quotes.