Transparent Illusion: The Discrepancy in Polymarket’s Volume

CN
1 day ago
The following opinion editorial was written by: Alex Forehand and Michael Handelsman for Kelman.Law

Last month, in KalshiEX LLC v. CFTC, No. 24-5205 (D.C. Cir. 2024) the U.S. Court of Appeals for the D.C. Circuit ruled against the CFTC by allowing Kalshi to continue offering event contracts that cover U.S. elections while the CFTC’s appeal is pending. A lower court had previously granted Kalshi’s motion for summary judgment, ruling that the Commission could not block Kalshi’s “Congressional Control Contracts,” as they were not considered “gaming” and did not “involve” “illegal or unlawful activity.” The Commission appealed, and filed a motion seeking to block Kalshi from offering the contracts until the appeal was decided, arguing that not doing so would result in irreparable injury to the public.

Although recognizing that “[e]nsuring the integrity of elections and avoiding improper interference and misinformation are undoubtedly paramount public interests, and a substantiated risk of distorting the electoral process would amount to irreparable harm,” the Circuit Court ultimately concluded that “the CFTC has given this court no concrete basis to conclude that event contracts would likely be a vehicle for such harms.” Although the CFTC’s appeal is still ongoing, the Circuit Court’s denial of its motion to stay has seemingly given others a temporary greenlight to offer similar products.

Just this week, the retail investing app, Robinhood, seemingly piggybacked off the Kalshi rulings and launched its own prediction market, although it is limited to the 2024 U.S. Presidential Election. Despite releasing a new desktop trading platform, index options, and futures trading only two weeks prior, the Robinhood team evidently recognized the value of acting promptly in the wake of Kalshi.

As with any novel financial instrument, the rise of these “traditional” prediction markets has corresponded with an upswing in offshore markets using blockchain technology. Champions of blockchain-based prediction markets advocate that a primary benefit of employing the technology is the increase in transparency. All transactions and outcomes on a blockchain are recorded immutably, providing a fully transparent and auditable history of all purchases, payouts, and outcomes.

This transparency enables users to make informed decisions by providing a complete record of the size and timing of various purchases, supplying insight into why a market may have moved unexpectedly. More importantly, this clarity helps protect the integrity of the market by stifling bad actors who might otherwise look to manipulate the market, or exchanges seeking to artificially boost volume.

The advantage of monitoring platforms through blockchain analytics was spotlighted in recent reports that called into question the authenticity of the trading volume on Polymarket, the world’s largest prediction market. In a revelatory article, Fortune reported that Polymarket “exhibited signs of wash trading” and misrepresented the total volume in its markets by inflating the true trading volume.

By examining on-chain data, blockchain analytics company, Chaos Labs, found that roughly “one-third of trading volume—and overall users—on the presidential market alone was likely wash trading.” They reached similar conclusions for other markets. In a separate investigation, Inca Digital also attributed a “significant portion of the volume … to potential wash trading.”

Wash trading is a form of market manipulation that occurs when shares are repeatedly bought and sold in rapid succession, or even simultaneously, in order to create an illusion of high volume and trading activity in a given market. While wash trading generally does not have a direct effect on the price of the market—since traders involved usually buy and sell an asset at similar prices, effectively canceling out any price effects—it does artificially inflate volume, leading to the hollow sense of a “deep market.”

Even more damning, Polymarket appears to have grossly inflated the volume listed on its website when compared to the on-chain data. According to Inca’s reports on the presidential prediction market, the actual transaction volume was around $1.75 billion, despite Polymarket’s representation of $2.7 billion.

Chaos Labs posited that this discrepancy was the result of Polymarket conflating shares with U.S. dollars. In other words, users looking to buy an event contract on Polymarket purchase shares at different odds falling between $0 and $1. If the purchaser is correct in their prediction, the share pays out $1; if they are wrong, the share expires worthless. At the time of writing, a “yes” share of Donald Trump currently costs $0.63 for the presidential election. Meanwhile, a share of RFK Jr. costs less than $0.01. Chaos Labs, however, shockingly found that Polymarket is misleadingly reporting each of those shares as $1 of volume.

Simply put, when it comes to reporting volume, Polymarket is confounding the expected payout of a share with its actual transactional cost. Thus, not only is the data itself rife with artificial wash trading, amounting to roughly one-third of Polymarket’s trading volume, but Polymarket is exacerbating the discrepancy by inflating the on-chain data by over fifty percent.

By creating an illusion of robust market activity, Polymarket not only misled participants about the depth and legitimacy of its markets, but also highlighted the potential risks associated with decentralized platforms that lack stringent oversight.

Notably, a Polymarket spokesperson informed Fortune that “Polymarket’s Terms of Use expressly prohibit market manipulation.” Nonetheless, the representative attempted to shift the burden back to users by claiming that Polymarket’s “transparency allows the market to decide” whether Polymarket “provided users with the fairest analysis possible.”

While certainly true, this ignores the realities of the situation—users will no doubt opt to trust Polymarket’s representations rather than analyze millions of transactions themselves. Fortunately, Chaos Labs and Inca Digital have done the analysis for them. Unfortunately, however, not until after billions of dollars were spent by misinformed participants.

If you would like to discuss this issue, or any other legal issues, with the Kelman PLLC team, schedule a consultation here.

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