Chicago-based buying and selling large DRW has spent many years cashing in on mismatches between completely different asset courses, and now it is constructing a devoted prediction market desk focusing on platforms akin to Polymarket and Kalshi.
The transfer is likely one of the clearest indicators but that refined “quantitative buying and selling” corporations — merchants that use advanced math and evaluation to arrange methods — are more and more viewing prediction markets as a professional buying and selling venue somewhat than a distinct segment betting product.
The agency that has been a dominant pressure in derivatives, mounted revenue and crypto markets since 1992, just lately posted a job itemizing requiring candidates to watch costs in actual time throughout each platforms concurrently, determine gaps the place one is mispricing an end result relative to the opposite and react rapidly to revenue earlier than the pricing converges. The methods listed in these posts — together with microstructure arbitrage, cross-platform arbitrage, and news-driven momentum buying and selling at sub-second speeds — are strategies honed in crypto derivatives markets and now being utilized to sports activities and political occasions.
DRW just isn’t alone. Wintermute, the algorithmic market maker that processes billions in each day crypto quantity, is hiring algorithmic merchants with expertise in prediction markets. IMC, one other proprietary buying and selling agency, can also be on the lookout for quantitative merchants snug working throughout binary occasion contracts. In the meantime, conventional crypto exchanges like OKX and Crypto.com have additionally just lately posted job listings.
The hiring wave suggests institutional buying and selling corporations more and more consider prediction markets have matured right into a critical asset class and are ripe for revenue.
Exploiting the mismatch
So what’s driving the sudden push? The catalyst is the amount being traded on these platforms.
Polymarket alone processed between $22 billion and $40 billion throughout political, financial and sports activities markets in 2025, up from just about nothing three years in the past and a rising share of that’s concentrated in sports activities.
As of final week, Polymarket’s market on the UEFA Champions League Winner has processed $256 million, the 2026 NBA Champion market has carried out $399 million, and the 2026 NHL Stanley Cup market sits at $79 million after wild swings that noticed Carolina Hurricanes rise from sub-10% implied chance to round 50% as they emerged from the Jap Convention.
Mixed, these three markets alone characterize over $730 million in quantity on sports activities outcomes, approaching the annual buying and selling quantity of some mid-sized European sports activities betting exchanges.
However the true cause conventional corporations are pushing into this trade might not be to foretell outcomes higher than everybody else, market observers say.
“I do not anticipate the institutional capital is contributing meaningfully to the accuracy of those markets, particularly within the case of sports activities,” mentioned Harry Crane, a statistics professor at Rutgers College who research prediction market calibration.
“The accuracy of the markets is pushed by specialised sports activities betting teams, that are a lot sharper at pricing sports activities outcomes.
As an alternative, Crane argues, corporations akin to DRW are probably making use of buying and selling strategies developed in conventional monetary markets to take advantage of pricing mismatch.
“To the extent they’re worthwhile, the establishments are probably making use of strategies on short-term market dynamics and different technical features of buying and selling that capitalize on short-term market fluctuations with out perception into the occasion end result.”
Merely put, DRW just isn’t attempting to foretell who wins the Champions League. It’s attempting to revenue from the best way costs transfer earlier than that query is answered.
A current instance appeared out there for Britain’s subsequent prime minister.
On the morning of Might 14, Andy Burnham’s odds of turning into the subsequent U.Okay. chief within the betting of “Subsequent UK Prime Minister” on Polymarket surged from 24 cents to 43 cents as political hypothesis intensified round a possible Labour management problem. However Betfair, the London-based betting alternate with over a billion kilos in annual quantity, had already recognized the transfer, pricing Burnham on the equal of fifty cents whereas Polymarket nonetheless confirmed 24 cents.
It took Polymarket hours to catch up.
For informal bettors, the hole was an fascinating anomaly, however to a complicated quant dealer, it was a textbook cross-market inefficiency ready to be exploited.
In principle, a dealer may have purchased $10,000 of Burnham contracts on Polymarket at 24 cents after noticing the mismatch, earlier than locking in $7,900 price of revenue in a matter of hours by promoting when it caught as much as Betfair, which might have made a revenue with out the occasion even needing to happen.
It’s a way that has been used for many years by conventional buying and selling corporations: discovering a mispriced asset throughout exchanges and both concurrently shopping for/promoting, as in arbitrage, or shopping for the underpriced asset and ready for it to catch up.
Prediction markets, nonetheless, introduce an extra problem. Betfair settles in sterling whereas Polymarket settles in crypto, requiring infrastructure able to transferring capital throughout currencies, exchanges and settlement methods.
That type of complexity performs instantly into the strengths of huge buying and selling corporations, akin to DRW
What’s driving them?
Past outright arbitrage, merchants level to 2 structural options that make prediction markets enticing in the present day.
The primary is info lag. Conventional betting exchanges typically react extra rapidly than decentralized prediction platforms, creating home windows the place costs haven’t but absolutely adjusted.
The second is liquidity fragmentation. Champions League, NBA and Stanley Cup markets can commerce concurrently throughout Polymarket, Kalshi and conventional sportsbooks, that means no single venue essentially displays the total market consensus.
For merchants centered on forecasting outcomes somewhat than market construction, the toolkit seems more and more acquainted to quantitative finance.
Soccer merchants typically depend on “Dixon-Coles Poisson” fashions. The toolkit, developed in a 1997 educational paper, estimates workforce assault and protection energy and generates chance distributions for potential scorelines. That is one thing just like how a climate forecaster assigns exact possibilities to each doable end result somewhat than making a single prediction.
In the meantime, Basketball merchants often use “Bayesian Hierarchical” fashions that replace assessments of workforce energy as new info arrives.
The purpose for each fashions is to determine discrepancies between a mannequin’s estimated chance and the chance implied by market costs.
A dealer whose mannequin values Arsenal’s Champions League probabilities at 47% whereas contracts commerce at 43 cents could purchase and revenue if the market ultimately converges towards that estimate.
The idea is named closing line worth, or CLV.
Crane explains why the CLV issues: “It incorporates all recognized pre-game info, akin to accidents and lineup adjustments, and the sharpest gamers have a tendency to attend till nearer to recreation time to position bets as a result of that’s when the bounds are typically highest.”
Competitors is right here
Nonetheless, Crane stays skeptical that institutional corporations will dominate sports activities prediction markets just because they’ve arrived with bigger stability sheets.
“Proper now, the sharpest gamers within the sports activities betting markets are usually not the establishments,” he mentioned. “The sharpest gamers have been in these markets for many years, and the prevailing market costs are probably pushed by the identical teams and the identical info sources since lengthy earlier than prediction markets existed.”
Regardless of the skepticism, the expertise migration is already underway.
Crypto market makers are finding out sports activities analytics and expected-goals fashions, whereas conventional sports activities betting specialists are more and more being recruited by crypto corporations searching for experience that took years to develop.
And it is not simply theoretical.
HyperLiquid, the onchain perpetuals alternate that processed over $10 billion in each day quantity at its peak, is already making ready to launch prediction markets forward of the 2026 World Cup, that includes 64 video games over six weeks and producing hundreds of correlated binary outcomes.
The infrastructure is being constructed, and the desks at the moment are being staffed, with fashions engaged on potential outcomes.
The primary query is whether or not establishments can outperform veteran sports activities bettors by discovering their edge and making use of refined buying and selling fashions utilized in conventional finance. However on latency, market construction and cross-platform inefficiencies, the competitors has already begun.
Learn extra: Hyperliquid is rising as a challenger to conventional exchanges and prediction markets, says FalconX
