Difference between probabilistic trading and gambling outcomes.

The role of information, liquidity, and expected value.

Why “micro-edges” matter more than predictions.

Overview of Kalshi and similar regulated exchanges (e.g., PredictIt Lite, Polymarket for comparison).

How event contracts function — each contract = $1 if event occurs, $0 if not.

Basics of buying, selling, and position flipping.

Contract pricing and implied probability.

Order books, bid/ask spreads, and how volume = liquidity.

Why you should use limit orders > market orders.

Recommended bankroll size and why undercapitalization ruins decision quality.

Percentage-based risk model

The compounding effect of consistency vs. all-in behavior.

When to buy (momentum entry signals – volume + price acceleration).

When to sell (deceleration, exhaustion, or price reaching expectation).

The difference between “trading dollars” and “contracts” on Kalshi.

Setting limit orders for both entries and exits.

Why momentum exists: emotion, bias, and information lag.

How herd behavior, anchoring, and overconfidence drive short-term inefficiencies.

Lessons from traditional momentum trading (equities, forex) and how they apply to event markets.

How to use psychological understanding to anticipate overreaction and mean reversion.