Addiction to gambling is discouraged by Catholicism. However, traders on Kalshi continued to place bets totaling more than $10 million on the response to the question, “Who will the next pope be?”
The U.S. presidential election, interest rates, egg prices, and more may all be gambled on by traders using Kalshi and other prediction-market systems like Polymarket and ForecastEx by Interactive Brokers (IBKR). Critics may be ignoring something significant, even while it’s simple to laugh at some of the more bizarre prediction markets, such as “Will Luigi Mangione plead guilty to murder?”
Despite being relatively new, these markets have grown rather complicated and are already reaching a wide audience. Additionally, traders have created complex market-making and arbitrage tactics to make large quantities of money, just like in more conventional financial markets.
A fresh wave of market creators
The 21-year-old Coby Shpilberg resides in Palo Alto, California. He is the chief technology officer of Adnexi, a clinical-trial firm that he and his mother co-founded, and has experience in data analytics. At work, Shpilberg finds participants for clinical studies using data science. He trades on Kalshi outside of work using the same knowledge.
For over a year, Shpilberg has been trading on Kalshi. He first tried his hand at trading markets centered on the ratings of previous and upcoming films on Rotten Tomatoes. He saw that reviews from movie critics would be published and subsequently posted to Rotten Tomatoes in bulk, which would impact a film’s rating. Shpilberg believed he could trade those markets more quickly than others and obtain an advantage if he developed an algorithm that scoured the Rotten Tomatoes website for updates. Despite his best efforts, he lost money.
Shpilberg then came up with the idea that he could use data to forecast New York City temperatures more accurately than anybody else by doing something similar with Kalshi’s weather markets. Once more, he made no money.
Shpilberg lost several hundred dollars over his first six months of trading on Kalshi. Then, things began to shift around the election.
“In essence, I was attempting to engage in arbitrage. I believed I was faster than everyone else based on the facts I knew. I therefore believed I could make better purchases. weren’t accurate,” Shpilberg told BourseWatch. “But then my mindset switched to do market-making.”
At that point, Shpilberg gained the upper hand.
Market makers trade stocks, derivatives, and other commodities in all kinds of financial markets. A market participant, typically a sizable financial institution, may execute extremely high volumes of stock orders both on and off exchanges in order to engage in market-making in equity markets. By establishing their price criteria to guarantee they collect a “spread”—the little discrepancy between what a seller is asking for (the “ask”) and what a buyer is ready to pay (the “bid”)—market makers are willing to take the opposing side of any trader and benefit from it. Because market makers handle so much volume, they can make a significant profit even though this difference may only be a few cents or fractions of a cent per stock.
In December 2020, for instance, the combined volume handled by market makers Virtu and Citadel Securities exceeded that of the New York Stock Exchange. Citadel Securities reported $9.7 billion in trading revenue for the previous year in March of last year.
Each of Kalshi’s contracts has two sides, making them binary. A “yes” side pays out $1 for each contract in the event that a specific outcome occurs, and a “no” side pays out $1 for each contract in the absence of the outcome. A “yes” contract that costs $0.60 indicates a 60% probability and pays out a net $0.40 if the outcome materializes. This is because the cost to purchase one side of the contract reflects the expected likelihood of that event occurring.
Shpilberg sets his buy and sell prices broad enough to collect a profit spread and has resting orders on both sides of the book to make markets on Kalshi. As long as they satisfy his prices, he is happy to buy from anyone selling and sell contracts to anyone purchasing under this arrangement. Even though the individual spreads might not seem like much, Shpilberg can make money by placing a lot of orders since market-making is a numbers game.
“That was the real unlock and where I started to become profitable,” Shpilberg stated.
Despite the fact that there are stringent regulations governing what institutions can and cannot do in other financial markets, Shpilberg’s approach is comparable in that it offers liquidity on both sides of a trade and aims to collect a spread while maintaining position-neutrality.
Institutions and other organizations that wish to create markets on Kalshi’s platform can do so through its official market-making program. One of the organizations that takes part in this initiative is the financial company Susquehanna International Group. A firm representative stated that in order to guarantee market integrity and smoothness, Kalshi mandates that the official market makers participating in this program fulfill specific criteria, submit to audits, and adopt specific stances. According to the corporation, since independent traders are not included in this formal program, their approach does not constitute market-making in the traditional sense. However, this also allows those people greater trading flexibility.
Using ChatGPT and the Kalshi trading application programming interface, or API, Shpilberg developed an algorithm. After reviewing every new market on Kalshi, this algorithm looks for a list of traits that Shpilberg has personally determined. These attributes inform Shpilberg and his algorithm that the particular market is favorable for market-making and has a higher probability of profitability. After identification, the algorithm notifies Shpilberg via a secret Discord server of what he should purchase. Shpilberg spent hours developing and refining his algorithm, eventually automating the process. Today, he spends less than an hour a week trading on the Kalshi platform.
Shpilberg was able to erase his negative profit-and-loss balance and earn nearly $165,000 in a matter of months.
On sites like Kalshi, market-making isn’t always successful. Because traders take positions on both sides of a deal, if the market moves too quickly in the opposite way, they run the danger of holding the wrong side of the trade at a poor price. If the market believes that the “yes” conclusion is far more likely than the market maker has priced, for instance, they could lose all of their volume if they are selling “yes” futures and collecting a $0.02 spread.
As a result, traders who engage in market-making on Kalshi must be very specific about the markets they trade in and the volume they are prepared to manage.
“[Kalshi] is a really cool playground to flex these skills and learn how to take advantage of financial markets, and create a little bit of edge,” Shpilberg stated. “I really believe it’s going to create a whole new generation of market makers and introduce, with a very low barrier to entry, automated trading to a whole new generation of people.”
According to Shpilberg, he once posted on his private Snapchat story about market-making on Kalshi, and one of his pals replied that he was also doing the same.
As part of a class assignment in the spring of 2023, a group of University of Southern California undergraduates developed a Kalshi market-making algorithm. In order to enable traders to profit from a spread, the algorithm established positions in Kalshi’s S&P 500 prediction market and performed probability simulations on the daily closure of the S&P 500 SPX. The kids’ GitHub website states that they “achieved a $6.80 profit on a $33.40 initial investment” in their test.
Since he began using Kalshi around the time of the 2024 election, Jack, a senior at Princeton University who requested that MarketWatch withhold his last name, has earned roughly $150,000 as a market maker on the site.
In an interview with MarketWatch, he stated, “I think that there is a clear space for retailesque market makers, which is kind of unique.”
The prediction markets are changing.
Market-making is by no means the sole tactic employed by traders on Kalshi in their pursuit of profits.
“In my opinion, it is a type of day trading or investment. Additionally, if you know where to look, you can find arbitrage chances,” Hunter Foschini, a 23-year-old salesman, told MarketWatch. “I actively look for profitable opportunities daily, and I find them pretty often.”
According to Foschini, he does “deep research” to identify facts on which to trade. In order to get an advantage, he also created his own models and algorithmic trading techniques. He claimed to be lucrative overall, but he did not reveal how much money he has gained using his tactics.
“I also know or have spoken with numerous traders who use prediction markets to make a living, and some of them have crossed seven figures in profit,” Foschini stated.
In their current state, prediction markets are still relatively new. However, these markets have been changing and will keep changing. As a result, they might start to look like other previously unheard-of marketplaces, such as the derivatives or options markets.
“I believe that as long as this successful trend persists, more and more capital will enter the markets. Additionally, I believe that this will lead to increasingly efficient betting markets,” Davide Accomazzo, a finance adjunct professor at Pepperdine Graziadio Business School, told BourseWatch.
