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

Original by Damon@Go2Mars
Polymarket features a plethora of finance-related prediction events: CPI, non-farm payrolls, FOMC, regulatory policies, and major corporate earnings reports, all of which can influence U.S. stock pricing. However, before these events occur, traders typically only have access to analyst forecasts or media opinions, often using their recommendations as references.

But are they always correct?

In trading markets, shifts in trend direction are quite common, meaning that the viewpoint from one moment may not apply to the next. Polymarket fills this time gap with its unique mechanism that converts different outcomes into real-time prices, allowing traders to observe which scenarios the market is pricing in. Its function can be summarized as:

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

By penetrating asset prices through event probability expectations and outlining the entire logical chain, we may discover something.

I. Observing What the Market is Pricing

Polymarket contract prices range from $0 to $1. Under favorable liquidity conditions, prices can be approximated as the market's implied probability of a certain outcome. For example, a YES price of $0.60 implies that the market assigns roughly a 60% probability to that outcome.

This figure is not an objective prediction and does not guarantee accuracy. It more reflects the trading price formed by participants under current information, liquidity, and risk appetite. For U.S. stock traders, both the probability level and changes in probability are of reference significance:

• The probability level reflects the current market's baseline expectations;
• The probability change reflects how new information is altering market judgments;
• Deeply reflects whether this expectation is supported by real funds.

For instance, before the CPI is announced, if the probability of "core inflation exceeding expectations" rises from 25% to 45%, it indicates that the market is increasing its pricing of inflation risk. At this point, even if the data has not yet been released, U.S. Treasury yields, the dollar, and overvalued tech stocks may react in advance.

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

II. Finding Deviations Between Event Expectations and Asset Prices

In news trading, what is traded is not the event headline but the deviation of the event outcome from pre-event expectations.

Assuming the market has assigned a 70% probability to CPI exceeding expectations, then if the data is slightly above expectations, it may not lead to a significant drop in tech stocks, as this outcome may have already been fully priced in. Conversely, if the market only assigned a 20% probability, and the data significantly exceeds expectations, U.S. Treasury yields and growth stock valuations may experience larger adjustments.

Therefore, the existence of PM can quickly help traders lock in two questions:

1. Which outcome has already been fully priced in by the market?
2. Which outcome, if it occurs, may produce a shock beyond the current pricing?

If further explored, traders can also compare event probabilities with the performance of related assets:

If the probability of rising inflation significantly increases, but U.S. Treasury yields and the dollar do not rise in tandem, it may indicate that the bond market does not recognize this change, or it may mean that the assets have not yet completed pricing.

Conversely, if the Polymarket probability remains almost unchanged, but yields and VIX rise rapidly, it suggests that the market may be trading other risks not yet reflected by Polymarket.

Thus, PM and the U.S. stock market can achieve bilateral verification. Under real-time monitoring, there will be temporary pricing inconsistencies between the two markets, creating opportunities.

III. Mapping Events to Related Assets

Event probabilities only have trading significance when mapped to specific pricing variables.

Among them, the most common impact path of macro events on U.S. stocks is interest rates.

When inflation or employment data is strong, the market may increase the probability of maintaining high interest rates, leading to rising U.S. Treasury yields and pressure on overvalued growth stocks; when data is moderately weak and does not trigger recession concerns, expectations for rate cuts may rise, supporting valuations of growth and small-cap stocks.

However, this relationship is not fixed. Weak employment can lead to both expectations for rate cuts and concerns about recession. 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 and cannot replace judgments on the market's main line.

IV. Actual Usage Process

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

1. Clarify the event's settlement rules and announcement time;
2. Observe the probability levels, speed of change, and market depth of Polymarket;
3. Determine whether the event primarily affects interest rates, earnings, or risk appetite;
4. Identify the indices, sectors, or individual stocks most sensitive to this;
5. Use U.S. Treasury yields, the dollar, VIX, and the options market for verification;
6. Choose to trade, hedge, or refrain from participation based on pricing deviations.

Truly valuable signals are often not "the probability of a certain event occurring is very high," but rather that inconsistencies have emerged between event probabilities, related assets, and other markets worth studying.

V. Conclusion

Polymarket's most reasonable positioning is as an event expectation observer, cross-market verification tool, and tail risk reference.

It truly helps traders solve three questions: what the market has currently priced in, which low-probability outcomes may lead to larger price shocks, and whether there have been noteworthy reactions between event probabilities and related assets.

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

After all, don’t just look at what experts and big players say; instead, observe what the market is doing.

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