Prediction markets have spent the past two years arguing that they belong in the financial mainstream. A new report suggests that argument is about to get harder.
According to a Wall Street Journal exclusive published Tuesday, roughly $5 billion worth of nearly identical trades on the prediction market platform Kalshi have drawn scrutiny â a volume figure large enough, on its face, to represent a meaningful share of the activity that the young industry has used to demonstrate its growth and legitimacy.
The Journal’s report does not, based on the headline, allege wrongdoing by any particular party. But the phrase “nearly identical trades” points to a question that has shadowed prediction markets, crypto exchanges and other lightly regulated venues for years: how much of the reported volume reflects genuine, competing opinions about future events, and how much reflects trades that effectively cancel each other out?
Why matching trades matter
On a prediction market, users buy and sell contracts that pay out based on whether a specified event occurs â an election result, an economic data release, a sports outcome, a corporate announcement. Prices are typically expressed in cents and read as implied probabilities.
The promise of such markets is informational. If large amounts of real money are at stake, the thinking goes, prices should aggregate dispersed knowledge better than polls or pundits. That promise depends heavily on the trades being real, independent and adversarial.
When a pattern of nearly identical orders appears in large size, market observers usually want to know several things: whether the same beneficial owner is on both sides, whether the activity is designed to earn incentives or rebates, whether it inflates headline volume, and whether it distorts the prices that outside observers, journalists and, increasingly, institutions treat as forecasts.
Some explanations for clustered, near-identical trades are entirely benign. Market makers routinely place symmetrical quotes on either side of a spread. Automated strategies can generate thousands of similar orders. Hedging, arbitrage between correlated contracts, and liquidity programs all produce repetitive patterns that look strange to the untrained eye but are ordinary features of electronic markets.
Other explanations are less benign. Wash trading â in which a trader buys and sells with themselves to create the appearance of activity â is prohibited in U.S. futures markets, and volume figures are a key metric investors and partners use to value trading venues.
The regulatory backdrop
Kalshi operates as a designated contract market under the oversight of the Commodity Futures Trading Commission, a status that distinguishes it from offshore or crypto-native competitors and that the company has often cited as evidence of its compliance posture. That same status also subjects it to surveillance obligations and rules on trade practice.
The sector has expanded rapidly, pushing into sports and event contracts, drawing partnerships with brokerages and trading apps, and contesting challenges from state gambling regulators. Growth in volume has been central to the industry’s case that event contracts serve a legitimate economic purpose rather than functioning as a gambling product in financial clothing.
That is what makes a $5 billion cluster of lookalike trades consequential. If a significant portion of headline volume turns out to be self-referential, it complicates both the informational argument and the valuation story.
Neither Kalshi’s response nor the identity of the traders involved is established by the headline alone. Readers should treat the specifics â including who executed the trades, why, and whether regulators have opened any formal inquiry â as open questions pending further reporting. Read More
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