Kalshi Contract Specifications: Reading and Interpreting Resolution Criteria Like a Pro

A trader buys an event contract on Kalshi predicting that US inflation will exceed 4% within a specific month. The contract trades at $72, suggesting a 72% perceived probability. Three weeks before settlement, the trader reads a news summary claiming the outcome is “nearly certain” and considers holding to expiration. But the contract specification includes a footnote about the data source, the exact release date, and a precise threshold definition. These details are not decoration. They determine whether the contract settles at $0 or $100, and they are documented in the event documentation that most traders skim or ignore entirely.

Understanding how to read and interpret Kalshi’s resolution criteria is not optional for serious traders. A regulated exchange publishes transparent contract specifications precisely so that participants can verify what they are buying and prepare for settlement without disputes. Misreading the event documentation, misunderstanding which data source governs the outcome, or overlooking a condition can transform a confident position into a surprise loss. This walkthrough covers the anatomy of a Kalshi contract specification, common pitfalls in interpretation, how to verify resolution sources, and practical steps to confirm you understand what you are trading before capital is committed.

The anatomy of a Kalshi event contract specification

Every event contract on Kalshi contains several standardized components, and each serves a specific function in defining the settlement outcome. The event title describes the outcome in plain language. The event documentation then specifies the exact condition, measurement method, and data source. For example, a contract titled “Will US CPI MoM exceed 0.5% in January 2025?” contains an event documentation section that names the Bureau of Labor Statistics, specifies the Consumer Price Index report, defines the exact release time, and clarifies what “exceed” means—typically whether the outcome must be strictly greater than 0.5% or at least 0.5%.

The settlement date and time indicate when the contract will resolve. This is distinct from the event itself; a contract about a policy decision announced on Tuesday might not resolve until Wednesday or later, depending on when all necessary information is published or confirmed. The contract resolution criteria define the logical test: “If the published figure is greater than X, resolve to $100; otherwise resolve to $0.” Binary contracts settle at one of two values. Range contracts may have multiple settlement prices. Some contracts include contingency language: “If the data is not published by date Y, the contract will resolve as invalid” or will be settled using an alternative source.

The data source is the objective reference that determines the outcome. Kalshi typically specifies primary sources such as government agencies, recognized indices, or published exchanges. The event documentation often includes a web link or specific report identifier so that anyone can independently verify the published figure before settlement. Understanding this structure requires reading past the headline. A contract about “Fed Rate Decision” must specify which decision (FOMC meeting date), which rate (the target range), and where the official confirmation appears (the Federal Reserve’s press release or website). Missing any of these details in your mental model can lead to incorrect price expectations.

Settlement and resolution procedures are also spelled out. Once the event occurs and the data is published, Kalshi’s systems match the published outcome against the contract criteria. If the published figure meets the condition, buyers of the “yes” side receive $100 per contract; sellers receive $0. The reverse applies for the “no” side. This process is deterministic when the data source is clear and unambiguous. Disputes arise when traders disagree about how to interpret the event documentation or when the published figure falls on a boundary condition.

Decoding threshold definitions and boundary conditions

One of the most common sources of trader confusion is the precise wording of a threshold. Consider two superficially similar contracts: “Will unemployment be above 4.0%?” and “Will unemployment be 4.0% or higher?” The first requires unemployment to be strictly greater than 4.0%; the second includes 4.0% itself. If the published unemployment rate is exactly 4.0%, the first contract resolves to $0, and the second resolves to $100. This is not a subtle semantic point; it affects pricing and positioning.

Event documentation on Kalshi typically clarifies this using language like “greater than,” “at least,” “exceeds,” “equal to or above,” or “strictly above.” Always copy this exact language and cross-reference it with the event title to confirm alignment. If the title says “exceed 4%” and the event documentation says “greater than 4.0%,” those are equivalent. If the title says “reach 4%” but the documentation says “exceed 4.0%,” that is a red flag. Contact Kalshi support or leave the position until you have confirmed the intended boundary. Markets sometimes price in the assumption that a boundary will be crossed; if the settlement criteria use a stricter definition, that assumption may be wrong.

Percentage points versus basis points is another boundary trap. An economic indicator might rise from 2.5% to 3.1%, a change of 0.6 percentage points or 60 basis points. A contract asking “Will the rate increase by more than 0.5%?” refers to percentage points in most cases, but event documentation should confirm this explicitly. Similarly, a contract about “GDP growth exceeding 2%” might mean quarter-over-quarter or year-over-year. The event documentation specifies which comparison is used because they produce very different figures.

Rounding and precision also matter. If the published figure is 4.049% and the threshold is “above 4.0%,” the contract resolves to $100. But if the threshold is “above 4.05%” and the published figure rounds to 4.0% in the summary but 4.049% in the detailed release, which version governs? Event documentation should specify the precision level and which official release Kalshi will reference. When in doubt, locate the official source document yourself and verify how many decimal places are reported.

Identifying and verifying data sources

The credibility of a Kalshi contract depends entirely on the reliability and unambiguity of its data source. Economic data usually comes from government statistical agencies: the Bureau of Labor Statistics, Federal Reserve, Bureau of Economic Analysis, Census Bureau, or international equivalents such as Eurostat or the Office for National Statistics. These are high-quality sources, but they publish on fixed schedules, and preliminary figures sometimes differ from revised figures. Event documentation should specify which release (preliminary, revised, final) Kalshi will use.

Technology and milestone contracts might reference press releases, official announcements, or specific databases. For example, a contract about “Will a major US bank fail by December 31, 2025?” must define “major”—typically by asset size, depositor insurance coverage, or regulatory status. The event documentation should list the specific agencies or data resources Kalshi will consult (FDIC announcements, SEC filings, etc.). Before trading such a contract, verify that the named source is actually maintained, updated in real time, and publicly accessible. If a source is not available until after the contract closes, you cannot resolve the contract without dispute.

Environmental and climate contracts might use data from NOAA, the National Center for Atmospheric Research, or university researchers. These sources are often legitimate but may require interpretation. Event documentation for a contract about “Record global temperatures” should specify the measurement methodology (satellite, ground station networks), the organization releasing the figure (Berkeley Earth, Copernicus, NOAA), the time period covered (calendar year, fiscal year), and any statistical definition of “record.” If you cannot independently access the named source and verify its published figure, the contract is not ready to trade; the event documentation is incomplete.

For stock indices and market-linked contracts, Kalshi typically uses closing prices from major exchanges or widely recognized index providers such as S&P Dow Jones Indices or Bloomberg. Event documentation specifies the exact index, the data provider, and the relevant date (close of business in a specific time zone). This is usually unambiguous because financial markets publish prices in real time. However, if the contract references an unusual index or emerging market data, verify that the source updates reliably and that Kalshi can actually access the final figure promptly.

Parsing contingency clauses and resolution alternatives

Not every outcome has a clean, objective answer available on the scheduled date. Event documentation sometimes includes contingency language for situations where the primary data source is delayed, revised, or unavailable. Common contingency structures include: (1) “If the primary source is not published by date X, resolution will use source B”; (2) “If the outcome is disputed, resolution will use the source published by authority Y”; or (3) “If the event does not occur as specified, the contract will be declared invalid and all positions will be unwound at the opening price.”

These clauses are important because they define what happens in edge cases. A contract about employment data might specify: “Will use the first official release by the BLS. If that release is delayed beyond the scheduled date, will use the preliminary estimate from the ADP National Employment Report released three days prior.” This creates a hierarchy of sources, which is better than no guidance, but it also means you need to understand both sources. The ADP estimate often differs from the BLS survey because they use different methodologies and sampling. If you are trading this contract, you should monitor both figures and understand why they might diverge.

Invalidation clauses deserve extra attention. Some contracts can be declared void if the underlying event changes or cannot be measured as written. For example, a contract about “Will the Fed raise rates at the June FOMC meeting?” is clear if the meeting occurs and produces a decision. But if the meeting is postponed due to an extraordinary circumstance, or if the Fed announces a different action than expected (such as a technical adjustment rather than a policy rate change), the event documentation should specify how the contract resolves. If this is not addressed, contact Kalshi support before entering a position; you do not want to discover the answer after the meeting has occurred.

Revision schedules also belong in contingency planning. Many economic figures are released in preliminary form and then revised. Event documentation should specify whether Kalshi uses the first release or waits for revisions. For example, GDP is released as an advance estimate, then a second estimate, then a final estimate, sometimes weeks or months apart. If a contract uses the “final” version, settlement may not occur until months after the initial release date. This is why the settlement date and the event date are distinct. Understand which version governs before trading.

Mapping contract prices to market expectations and resolution odds

Once you have parsed the event documentation and understand the exact settlement criteria, you can interpret what the current price actually means. A contract priced at $65 reflects an approximate 65% probability that the outcome will satisfy the settlement condition. But this price aggregates the beliefs of all market participants, and individual traders may disagree. The price is useful feedback on your own analysis, but it is not a substitute for it.

Mispricings often emerge when traders have not fully absorbed the event documentation. If inflation contracts are priced at $80 (high probability) but the event documentation specifies a threshold that seems stricter than traders realize, the market may be too bullish. Conversely, if a contract is priced at $20 but the threshold is achievable given recent data trends, you have identified potential value. The regulated exchange structure means that Kalshi publishes all contracts, specifications, and recent trades openly; this transparency is your advantage for deeper research.

Price movements leading up to settlement are also diagnostic. If a contract about a specific date’s economic report falls from $70 to $40 after the data is released but before settlement, traders have interpreted the published figure and adjusted their views. If the price then moves back to $70, someone disagrees with that interpretation—possibly based on a different reading of the event documentation. Before you assume others have misunderstood, reread the specification yourself. You might be the one who missed something.

Historical settlement records are available on Kalshi for past contracts. Reviewing how similar contracts have resolved can illuminate ambiguities in current event documentation. If a previous inflation contract resolved using a specific source and timing, future contracts will likely use the same approach unless explicitly changed. Use this history to build confidence in your interpretation, but do not assume that practices are identical across all contract types. Always verify current event documentation rather than relying on patterns from older contracts.

Common pitfalls and how to avoid them

The most frequent mistake is assuming that a contract’s title is sufficient to understand its terms. Headlines are meant to be memorable, not precise. Always read the full event documentation before committing capital. The second mistake is conflating expected outcomes with contract payoffs. If you expect inflation to be “high,” that is not the same as expecting it to exceed a specific threshold on a specific date using a specific data source. The contract cares only about the latter.

Traders sometimes overlook publication delays. A contract about “the next Fed decision” settles on the day of the announcement, but the exact price may not be published until minutes or hours later. If you are trying to exit the position precisely at settlement time, you may miss the window. Event documentation should clarify the exact timing, but if it does not, assume a lag and plan accordingly. Similarly, do not assume that preliminary announcements are definitive. If a policy maker releases preliminary guidance and then clarifies it hours later, which version controls? The event documentation must specify, or you should avoid the contract.

Another pitfall is trading contracts across different regulatory or geographical jurisdictions without confirming that the event documentation matches your assumptions. A contract about “US unemployment” uses BLS data; a contract about “OECD unemployment” uses OECD data; and a contract about “California unemployment” uses different methodology. These are not interchangeable. If you read news about employment and think “I’ll trade the unemployment contract,” verify which specific unemployment figure the contract tracks before entering the position. You can also read more about how Kalshi structures its event contracts to ensure you understand the settlement mechanics specific to each instrument.

Finally, do not trade on implicit assumptions about data quality or timeliness. If a contract depends on an external source that you have never used before, access that source directly and confirm it is reliable. If event documentation references “the official announcement,” verify who officially announces it and where. A five-minute search to confirm the data source is a reasonable investment before risking capital.

Preparing for settlement and avoiding surprise resolutions

Settlement begins once the event date passes and the data is published. Before that date arrives, create a checklist: (1) Confirm the exact settlement date and time in your local time zone; (2) Note the primary data source and schedule when it publishes; (3) Identify the exact threshold or condition in the event documentation; (4) Set a calendar reminder to check the source on or before the publication date; (5) Plan how you will verify the published figure independently. If you are holding the position until expiration, you should not be surprised by the outcome.

Monitor the published data when it is released. Do not rely on news summaries; access the official source document. If you are trading an economic indicator, visit the government agency’s website and download the detailed release. If you are trading a company announcement, read the press release or SEC filing directly. This habit prevents misinterpretation and confirms that the actual data matches your understanding of the settlement criteria. If the data is ambiguous or conflicts with the event documentation, contact Kalshi support immediately rather than waiting until after settlement.

After settlement occurs, you can review the resolution record. Kalshi publishes settlement data publicly, showing the published figure, the contract resolution, and the payout. Use this as feedback for future contract interpretations. If you were surprised by a resolution, reread the event documentation to understand where your interpretation diverged from the settlement. This builds pattern recognition for reading specifications and helps calibrate your confidence in future contract analysis.

The regulated exchange framework means that Kalshi has incentives to settle contracts fairly and transparently. But “fair” requires that you have read and understood the terms. Settlement disputes are rare, and most exist because traders did not fully absorb the event documentation before trading. A few minutes of careful specification reading and source verification will prevent most costly surprises and keep your trading decisions grounded in reality rather than in assumptions about what a contract “ought to” mean.