From Polymarket to U.S. Stock Trading: How Events Map to Asset Prices

Polymarket features a significant number of finance-related prediction events: CPI, Non-Farm Payrolls, FOMC meetings, regulatory policies, and major company earnings reports. All these events influence the pricing of U.S. stocks; however, before an event occurs, traders usually only see analyst forecasts or media opinions, which they often reference as guidance.

But, are they necessarily correct?

In trading markets, shifts in trend direction are very common. Therefore, the prevailing view one moment may not apply at the next juncture. Polymarket fills this temporal gap. Its unique mechanism converts different outcomes into real-time prices, enabling traders to observe which scenarios the market is pricing. Its function can be summarized as:

Event Probability → Market Expectations → Changes in Interest Rates, Earnings, or Risk Appetite → Repricing of U.S. Stocks

By using event probability expectations to pierce through asset prices and sort out the entire logical chain, we might discover something.

I. Observing What the Market Is Pricing

Polymarket contract prices range from $0 to $1. Under good liquidity conditions, the price can be approximately understood as the market's implied probability for a specific outcome. For example, a YES price of $0.60 means the market roughly assigns a 60% probability to that outcome occurring.

This number is not an objective forecast, nor is it guaranteed to be accurate. It more reflects the trading price formed by participants based on current information, liquidity, and risk appetite. For U.S. stock traders, both the level of probability and changes in probability are meaningful references:

• Probability level reflects the market's current baseline expectation;

• Probability changes reflect how new information is altering market judgment;

• Depth reflects whether this expectation is supported by real money.

For example, before a CPI release, if the probability of "core inflation higher than expected" rises from 25% to 45%, it indicates the market is increasing its pricing of inflation risk. Even though the data hasn't been released yet, U.S. Treasury yields, the dollar, and high-valuation tech stocks might react in advance.

Therefore, the first use of Polymarket is to help traders identify the market's current expectation anchor, and which direction expectations are moving.

II. Identifying Deviations Between Event Expectations and Asset Prices

For news trading, what is traded is not the event headline, but the deviation of the event outcome relative to pre-event expectations.

Suppose the market has already assigned a 70% probability to CPI exceeding expectations. In that case, data ultimately coming in slightly above expectations might not cause tech stocks to plummet, as this outcome may already be fully priced in. Conversely, if the market only assigns it a 20% probability and the data significantly beats expectations, U.S. Treasury yields and growth stock valuations might experience more substantial adjustments.

Therefore, PM can quickly help traders identify two questions:

1. Which outcome is already fully priced in by the market?

2. Which outcome, if it occurs, might cause an impact beyond current pricing?

If we dig deeper, traders can also compare event probabilities with the performance of related assets:

If the probability of inflation rising significantly increases, but U.S. Treasury yields and the dollar do not rise in tandem, it might mean the bond market doesn't agree with this change, or that assets haven't finished repricing.

Conversely, if Polymarket probabilities hardly change, but yields and VIX rise rapidly, it indicates the market might be trading other risks not yet reflected by Polymarket.

Therefore, PM and the U.S. stock market can provide mutual validation. Under real-time monitoring, brief pricing inconsistencies may arise between the two markets, and opportunities emerge from this.

III. Mapping Events to Related Assets

Event probabilities only become meaningful for trading when mapped to specific pricing variables.

For U.S. stocks, the most common impact path of macro events is through interest rates.

When inflation or employment data is strong, the market may increase the probability that interest rates will remain high, causing U.S. Treasury yields to rise and pressuring high-valuation growth stocks. When data softens moderately without triggering recession fears, expectations for rate cuts may rise, supporting valuations for growth and small-cap stocks.

But this relationship is not fixed. Weak employment can lead to expectations for rate cuts or raise recession concerns. The final direction depends on whether the market is more focused on inflation, growth, or liquidity at that time. Therefore, Polymarket can only provide scenario probabilities; it cannot replace judgment on the market's main narrative.

IV. Practical Usage Workflow

Before major events occur, traders can analyze in the following order:

1. Clarify the event's settlement rules and release time;

2. Observe Polymarket's probability level, rate of change, and order book depth;

3. Determine whether the event primarily impacts interest rates, earnings, or risk appetite first;

4. Identify the indices, sectors, or individual stocks most sensitive to this impact;

5. Use U.S. Treasury yields, the dollar, VIX, and options markets for validation;

6. Choose to trade, hedge, or abstain based on pricing deviations.

The truly valuable signals are usually not "the high probability of an event," but inconsistencies between event probabilities, related assets, and other markets.

V. Conclusion

The most appropriate positioning for Polymarket is as an event expectation observer, a cross-market validation tool, and a tail risk reference.

It genuinely helps traders solve three problems: what the market has currently priced in, which low-probability outcomes might bring greater price shocks, and whether there's a noteworthy reaction gap between event probabilities and related assets worthy of study.

The key to professional use of Polymarket is not to trade immediately upon seeing probability changes, but to place those changes within the asset pricing framework of interest rates, earnings, and risk premiums, and then complete the validation using real market prices.

After all, don't listen to what experts and big players say; watch what the market does.