What you are trying to learn

The task has four layers

A macro prediction market turns an economic question into a contract. The contract might ask whether the next consumer price index will exceed a threshold, how many jobs an official report will record, or what action a central bank will take. A correct answer requires more than a general opinion about whether the economy feels strong or weak.

First, you need an economic model: a disciplined account of which forces can change the outcome. Second, you need a measurement model: a precise understanding of the statistic, reference period, revisions, seasonal adjustment, and settlement source. Third, you need a probability forecast. Fourth, you need a trading decision that includes price, spread, fees, liquidity, position size, and contract wording.

These layers can disagree. You can forecast an outcome correctly and lose money because the contract price already reflected an even stronger forecast. You can also make a profitable trade for weak reasons. One profitable result does not validate the reasoning that produced it.

• Economy: What causal forces and current data affect the outcome?
• Measurement: What exact number or action will the settlement source publish?
• Probability: How likely is each contract-defined outcome?
• Execution: Is your estimated edge larger than all costs and model uncertainty?

What competence looks like

Competence does not mean predicting every release. Macroeconomic data contain sampling error, revisions, one-time shocks, policy changes, and genuine randomness. A competent forecaster produces probabilities that are calibrated over many decisions, changes those probabilities when relevant evidence arrives, and records enough detail to learn from errors.

A good process also produces many no-trade decisions. If your fair probability is 54 percent and the executable Yes price is 55 cents before fees, the forecast can be informative while the trade is unattractive. Passing is an active conclusion, not a failure to decide.

This book teaches U.S. macroeconomic releases first because Kalshi and Polymarket list many contracts tied to U.S. inflation, employment, gross domestic product, and Federal Reserve decisions. The same framework extends to other countries, but each country has different statistical agencies, release conventions, and central-bank reaction functions.

How to study and practice

Read Parts I through III in order. They establish the contract math, data vocabulary, and macroeconomic mechanisms used later. Then work through the three complete forecast laboratories. Each laboratory begins before a hypothetical release, freezes the information set, constructs a distribution, compares it with market prices, and audits the result after settlement.

Practice first without money. Record a timestamped probability and the bid and ask that were available at that time. Use a spreadsheet or journal to preserve the forecast, evidence, rejected explanations, intended order, and maximum loss. After resolution, score the probability and inspect the process before looking for a new market.

This material is educational. It does not provide individualized investment advice. Prediction-market contracts can lose their entire purchase cost. Platform eligibility, fees, market rules, and legal restrictions change; confirm the current terms on the official platform before acting.

• Phase 1: Make 30 recorded forecasts without trading.
• Phase 2: Use hypothetical orders and include spread, fees, and slippage.
• Phase 3: If you choose to trade, use an amount whose complete loss does not change your life or your reasoning.