Five Days After the Rule: Kalshi's Volume Arithmetic and the Prediction Market's Jurisdictional Reckoning

Five days. That is the entire interval between the Commodity Futures Trading Commission's October 9 rulemaking on event contracts and Tarek Mansour's decision to step onto a Washington stage and explain, on the record, what he believed it meant. Five days is not enough time to read a rule, let alone litigate one. It is, however, precisely enough time to shape the thirty-day public comment window that follows — and that, I suspect, was always the point.

But the detail I keep returning to is not the speech. It is a piece of arithmetic. In the same remarks, the Kalshi chief executive pushed back on the claim that his exchange's reported trading volumes are inflated, attributing the apparent duplication to market makers posting fixed-size orders. Read that again. The number on the tape is real; the number on the tape is also, under certain quoting conventions, the same economic risk counted more than once.

To hunt the truth, one must first bury the hype. And in prediction markets, the hype is now denominated in notional.

Prediction markets are not a new idea; they are an old idea that has finally found a legal wrapper. The Iowa Electronic Markets were quoting presidential probabilities in 1988. Intrade built a real business on the same premise and was shut down by American regulators in 2013. Betfair proved that event-based order books can be liquid, professional, and durable in a permissive jurisdiction. The intellectual claim has never been in dispute: a price is a probability, and a market that aggregates dispersed beliefs about the future can be more accurate than a poll, a pundit, or a panel of experts.

The American version of the idea is different, and the difference is not philosophical. It is plumbing. Kalshi was founded in 2018 and obtained a Designated Contract Market license from the CFTC in 2020 — the same category of license that governs futures exchanges. That distinction matters more than any product feature. Kalshi is not a crypto exchange wearing a compliance department as a costume. It is a federally licensed derivatives venue that happens to list contracts whose underlying is a real-world event rather than a bushel of wheat.

Polymarket took the opposite path. Offshore, on-chain, globally accessible, and until recently effectively locked out of the United States market. Two companies, two answers to the same question: does the future of event trading run through a license or through a blockchain? For most of the past three years the market treated that as a technology question. It is not. It is a question about which set of rules will be permitted to exist.

The current fight has a long fuse. In 2022 the CFTC refused to let Kalshi list contracts on which party would control Congress, on the theory that such contracts constituted gaming and were contrary to the public interest. Kalshi sued. In September 2023 a federal district court held that the agency had exceeded its statutory authority in blocking the listing, and the contracts went live. That victory did not settle anything — it simply moved the battlefield. State gaming regulators, beginning in New Jersey, asserted that event contracts tied to athletic outcomes are sports wagers and therefore fall under state gambling law. Federal appellate panels have since split: one has sided with the federal preemption argument, two have sided with the states. New Jersey has petitioned the Supreme Court, and the National Football League has lent its weight to the state's position.

Then came October 9. The CFTC proposed a rule that would formally classify event contracts as swaps under the Commodity Exchange Act, while carving out sports and casino-style gambling from that classification. Chairman Selig's framing was careful and, I think, revealing: the agency wants to claim the category it can defend and abandon the category it cannot.

Why does the word "swap" carry so much weight? Because it is a jurisdictional crowbar. If an event contract is a swap, it lives under the Commodity Exchange Act, which means the CFTC has exclusive federal authority over it, which means state gaming statutes are preempted. It also means the SEC never gets a turn at the wheel. Run the Howey test against an event contract and you get an uncomfortable but manageable result: money is invested, profit is expected, but the return depends on the outcome of an event rather than on the managerial efforts of a promoter, and the "common enterprise" prong is contested at best. Securities risk lands in the low-to-moderate band — but the swap label is not really doing securities work. It is doing preemption work.

The carve-out is where the intellectual honesty thins. There is no analytical principle that separates a contract on whether a bill passes from a contract on whether a team covers a spread. Both are binary claims about a future state of the world; both resolve against an external reference; both attract informed and uninformed participants in the same way. Sports were excluded because sports leagues and casino operators carry political weight that political-event traders do not. That is not a criticism of the CFTC — it is a description of how rules get written. But it means the October 9 rule is not a principled classification. It is a negotiated settlement, and negotiated settlements get renegotiated.

I have watched this rhetorical architecture before. In 2017 I spent the better part of a year auditing more than fifty initial coin offering whitepapers out of Barcelona's then-feverish tech scene, and the pattern was always the same: founders reframed regulatory exposure as a contest between innovation and bureaucracy, because a contest has a winner and a compliance review does not. The industry has since updated its vocabulary. The binary is no longer innovation versus regulation. It is onshore versus offshore. The structure of the argument is identical, and so is its purpose — to make a jurisdictional dispute feel like a public safety emergency.

Mansour's core claim is that if American users cannot trade event contracts on a regulated domestic venue, they will simply trade them on an unregulated foreign one. This is almost certainly true. It is also, conveniently, the argument that maximises his own position. The reframe does something subtle: it converts a federalism question into a consumer-protection question, and in doing so it quietly casts the states as the parties responsible for pushing users offshore. That is a sophisticated piece of advocacy, and it deserves to be recognised as advocacy rather than analysis.

Which brings me to the enforcement record, because that is where the compliance case is strongest and where the structural weakness is most visible. The CFTC has brought two insider trading actions against users of the platform — the Santos matter and the Perez matter — resulting in civil penalties, disgorgement, and multi-year trading bans. In the Santos case, the platform reportedly received roughly one hundred complaints within minutes of the suspicious activity. That detail is worth pausing on, because it tells you two things at once: there is a genuine user base large enough to generate a hundred reports in minutes, and there is an active community of self-policing participants.

But it also exposes something the industry prefers not to discuss. In a prediction market, the oracle problem is not a price feed. It is adjudication. Every contract ultimately resolves against a human judgment about whether an ambiguous real-world event occurred, and that judgment is made by the venue. When I wrote about soulbound tokens in 2021, my argument was that the next wave of blockchain value would come from verifiable credentials — from identity that could not be transferred, only earned. The prediction market is the mirror image of that thesis. Its resolution layer is a credential system in reverse: a centralized authority issuing a final, unchallengeable determination about reality.

Insider trading in this context is not a bug that better surveillance will eliminate. In equities, inside information concerns a company's undisclosed condition, and a corporation can control its own disclosure. In prediction markets, the inside information is about the world itself. Someone always knows the outcome first — the trial witness, the staffer, the injured player's physician. The asymmetry is not an anomaly; it is the substrate. Surveillance detects patterns after the fact. Only identity architecture — verifiable, persistent, attributable — prevents them in the first place. And identity architecture is precisely what a licensed, centralized, KYC-compliant exchange is best positioned to build, which is why the scandals are less damaging to Kalshi's regulatory case than they first appear.

Now, the arithmetic. The allegation is that Kalshi's reported volumes are inflated. The explanation offered is that market makers post fixed-size orders, which produces duplicated prints on the tape. Let me walk through the mechanics, because this is the part of the story that most readers will skim and least deserve to.

A central limit order book records every execution. When a market maker maintains a two-sided quote — say, ten thousand contracts bid and ten thousand offered — and both sides are repeatedly lifted and hit, the tape records ten thousand contracts each time. A single round trip can print twenty thousand contracts of "volume" while the market maker's net economic exposure returns to zero. This is not fraud. It is the standard convention across futures and equities venues, and the CME has reported volume this way for decades. The number is real, standardised, and almost entirely uninformative about how much risk actually changed hands.

So the honest question is not whether the volume is fake. It is: volume of what, measured how, and claimed to mean what? There are at least three distinct quantities in play — gross notional traded, net economic risk transferred, and unique participating accounts — and they can differ by an order of magnitude. An exchange that reports the first while allowing readers to infer the third is not lying, but it is not helping either. And in a business that has no token, no disclosed revenue, and a moat made of a licence, the volume number is not a metric. It is the entire equity story.

I encountered this class of problem during the DeFi Summer of 2020, when I published a report on incentive alignment in automated market makers. The finding that stayed with me was not about slippage curves. It was that volume is one of the easiest metrics to manufacture and one of the hardest to fake meaningfully. Liquidity mining could produce enormous turnover with almost no organic demand, because the incentive was attached to the activity rather than to the outcome. A market maker's quoting obligations are a more respectable version of the same mechanism: they produce genuine executions that do not necessarily correspond to genuine conviction. Both cases demand the same discipline from an analyst — distinguish activity that exists because someone wanted exposure from activity that exists because someone was paid to create it.

There is a broader structural point buried here, and it is the one I would put at the centre of any serious assessment of this sector. The binding constraint on prediction markets is not regulation and never has been. It is liquidity fragmentation. Every event contract is its own market. A venue listing five hundred events operates five hundred separate order books, each thin, each with its own maker inventory, each unable to share depth with any other. There is no equivalent of a consolidated tape, no cross-margining across unrelated events, no way for the depth in a Senate race to support the depth in a rate decision. Regulation determines whether the venue may exist. Fragmentation determines whether it can be useful.

This is why I am sceptical of the reflexive instinct to solve prediction markets with more infrastructure. The industry has spent years building settlement layers, data availability layers, and bespoke execution environments for demand that has not yet materialised. I have made a version of this argument before about rollups: the overwhelming majority of them do not generate enough data to justify a dedicated availability layer, and yet the architecture is built anyway, because building is more legible than waiting. Event contracts do not need a purpose-built chain. They need a credible adjudicator and a deep book. Throughput was never the bottleneck.

The same logic applies to the institutional question. There is a persistent fantasy in this industry that traditional finance will eventually migrate onto public infrastructure because the technology is superior. It will not, and the reason is not technical conservatism. Institutions need a counterparty with a licence, a balance sheet, and someone to call when something goes wrong. Kalshi's moat is not a stack. It is a piece of paper issued by a federal agency, and it is durable precisely because no amount of code can replicate it. That is an uncomfortable conclusion for anyone who spent the last decade arguing that decentralisation would disintermediate the licence-holders. It is also, I think, correct.

And there is a colder reading of the enforcement record that I cannot quite dismiss. Insider trading cases are bad for the brand and good for the licence application. They demonstrate, in public and on the record, that the venue can detect misconduct, cooperate with a federal regulator, and secure penalties against its own users. That is exactly the competence the CFTC needs to observe before blessing an entire category of contracts. The scandals are not a liability to the regulatory strategy. They are evidence for it.

So where does this leave the thirty-day comment window? Watch it closely, because the rule as proposed is a compromise, and compromises reveal priorities. The sports carve-out tells you which constituency the agency was unwilling to fight. The swap classification tells you which jurisdiction it intends to claim. Neither tells you what the Supreme Court will do with New Jersey's petition, and that is the genuine binary event sitting underneath this entire sector. A grant of certiorari would be the single largest catalyst or the single largest headwind the market has ever faced, and it would arrive with no warning and no partial credit.

The secondary signal to track is the volume question. If a credible third party audits Kalshi's perpetual futures and event contract turnover, and the numbers hold, the market position narrative survives intact. If they do not, the damage will not be to the accounting. It will be to the story, and in a pre-profit, licence-dependent business, the story is the asset.

The tertiary signal is Polymarket's American strategy. Two platforms that spent three years occupying opposite ends of the regulatory spectrum are now converging on the same question from different directions, and the moment one of them obtains a domestic foothold, the compliance premium stops being a differentiator and becomes a cost of entry.

I have been through enough of these cycles to recognise the feeling that accompanies them. In 2022, when the market broke and I retreated into a long and unglamorous audit of my own biases, I wrote that belief has a cost and that the cost is paid in isolation. The regulatory version of that endurance test is quieter but no less real. It is the slow grind of comment periods, docket entries, and appellate calendars — none of which produce a price chart, all of which determine whether the category survives.

To hunt the truth, one must first bury the hype. The hype here is a number on a tape and a slogan about going offshore. The truth is a licence, a docket number, and five hundred thin order books waiting for someone to explain how they will ever be deep enough to matter.

And the question I cannot answer — the one I suspect the next twelve months will answer for us — is this. If the winning architecture for prediction markets turns out to be a licensed, centralized order book with a compliance department, a KYC stack, and no token at all, then what precisely was the last decade of decentralisation for?