Polymarket과 Kalshi CEO가 동시에 투자한 5(c) Capital, 정체는?
- 핵심观点: 새롭게 설립된 펀드 5(c) Capital은 예측 시장의 양대 경쟁사인 Polymarket과 Kalshi의 CEO로부터 공동 투자를 유치했다. 핵심 전략은 특정 플랫폼에 베팅하는 것이 아니라, 예측 시장의 공유 인프라 레이어에 투자하여 업계의 제도화, 규제 준수 및 내부자 거래와 같은 구조적 문제 해결을 추진하는 것이다.
- 핵심 요소:
- 5(c) Capital은 전 Kalshi 직원이 설립했으며, 약 3500만 달러의 자금 조달을 목표로 한다. 마켓 메이커, 지수 설계, 거래 도구 등 20개의 예측 시장 인프라 기업에 집중 투자한다.
- 예측 시장은 세 가지 수준의 독점 구조를 형성할 것이다: 프론트엔드 플랫폼 독점(Polymarket vs Kalshi), 유동성 독점(제인 스트리트와 유사한 마켓 메이킹 네트워크), 데이터 독점(예측 시장의 블룸버그).
- 내부자 거래는 예측 시장의 '원죄'이다. 최근 규제 사건으로는 NY, CA 등 주에서 정부 직원의 내부 정보를 이용한 거래를 금지하고, Kalshi가 자신의 선거 시장에 베팅한 세 명의 후보를 제재한 사례가 있다.
- 규제 강화는 업계가 제도화로 나아가도록 압박하며, 오히려 신원 확인, 거래 모니터링, 리스크 및 규정 준수 도구를 제공하는 인프라 기업에 유리하게 작용한다. 이것이 바로 5(c)의 투자 기회이다.
- Polymarket과 Kalshi의 CEO가 5(c)에 공동 투자한 것은, 본질적으로 미래에 양측 모두에게 필요한 시장 기반(유동성, 데이터, 규정 준수 도구)에 대한 보험을 들기 위한 것이지, 경쟁사를 지원하기 위한 것이 아니다.
Original Author: Anita AGI/acc (X: @Anitahityou)
When Archrivals Start Betting Together: The Real Signal Behind 5(c) Capital
On Wall Street, there is a classic signal: when competitors start placing their bets on the same infrastructure, the industry has entered its next phase.
That is precisely what is happening in the prediction market today.
On one side is Polymarket — the crypto world's most viral event market. On the other is Kalshi — one of the few fully regulated event contract exchanges in the US.
Their paths couldn’t be more different:
- One is global, on-chain, and decentralized.
- The other is compliant, CFTC-regulated, and rooted in traditional finance.
Yet, the CEOs of both companies have invested capital into the same fund: 5(c) Capital.
This is far more unusual than it appears on the surface.
5(c) Capital is a relatively small fund targeting around $35 million. Shayne Coplan, CEO of Polymarket, and Tarek Mansour, CEO of Kalshi, have both placed bets on this fund. These two companies are the most important players in the prediction market and are direct competitors.
The fund is driven by two former Kalshi employees: Adhi Rajaprabhakaran and Noah Zingler-Sternig. The former was a trader at Kalshi, and the latter was Kalshi's head of operations.
Polymarket was founded in 2020. The true origin of 5(c) is not an established fund investing since 2020, but rather a group of people who grappled with fundamental market structure issues during Kalshi's early days, turning their experience into a fund. 5(c) is not a traditional thematic fund. It is more like a capital vehicle organized by industry insiders.
5(c) Isn’t Betting on Platforms, But on the Arsenal Behind the Platform War
Public materials indicate that 5(c) plans to invest in approximately 20 companies, with key focuses including market makers, index design, and prediction market infrastructure.
It is not trying to invest in "the next Polymarket" or "the next Kalshi."
It is betting on:
- Who provides liquidity for prediction markets;
- Who designs event indices;
- Who provides cross-platform data;
- Who builds trading tools;
- Who implements risk control and surveillance;
- Who defines outcome settlement;
- Who transforms prediction markets from retail betting into an institutional asset class.
Platforms can compete, but infrastructure can be shared. Polymarket needs depth; Kalshi needs depth too. Polymarket needs more credible prices; Kalshi does too. Polymarket needs institutional entry; Kalshi needs it even more.
It is betting on the entire prediction market ecosystem, not just a single entry point.
Why Are People from the Kalshi Camp Driving This?
5(c)’s lineage is clear: Kalshi.
Kalshi’s path is entirely different from Polymarket’s. Polymarket is a crypto-native growth machine, exploding onto the scene through globalization, on-chain assets, and event narratives. Kalshi, conversely, chose the US regulatory path, dealing long-term with the CFTC, state regulators, and the boundaries of event contracts.
Therefore, people from Kalshi naturally care about several things:
- What events can be designed as contracts;
- What events should not be traded;
- Which markets are susceptible to manipulation;
- Why market makers are hesitant to participate;
- How traders might exploit non-public information;
- Where the regulatory boundaries will ultimately tighten.
This perspective differs from a typical crypto fund. A typical crypto fund sees a growth curve; the Kalshi camp sees market structure.
The biggest problem for prediction markets has never been "whether people want to bet." Humans have always wanted to bet. The question is: can this betting behavior be packaged into a financial market that can withstand regulation, liquidity issues, manipulation, settlement disputes, and institutional scrutiny? By choosing to invest in infrastructure, 5(c) is trying to answer that question.
Will Prediction Markets Be Monopolized by a Few Giants?
Very likely.
Prediction markets seem infinitely scalable because the world generates new events daily. However, very few events can actually form effective trading markets. Most events lack sufficient traders, liquidity, and clear settlement standards.
This leads to a result: the more concentrated liquidity is, the more credible the price; the more credible the price, the more concentrated the users; the more concentrated the users, the more willing market makers are to participate; the more willing market makers are, the further liquidity concentrates. This is the classic network effect of exchanges.
It happened with stock trading, options trading, and futures trading. Eventually, markets don't spread evenly across 100 platforms; they concentrate in the hands of a few exchanges, clearing houses, market makers, and data terminals.
Prediction markets will be no different. Over the next 12–24 months, prediction markets will likely form a three-tiered monopoly:
Tier 1: Front-end Platform Monopoly
Polymarket and Kalshi are currently closest to this position.
Polymarket dominates the crypto-native and global user mindshare; Kalshi holds the US compliance entry point. Their paths differ, but both compete for the "default" position as the event contract exchange.
Tier 2: Liquidity Monopoly
The truly valuable thing might not be the platform, but the market-making network.
If an institution can simultaneously serve Polymarket, Kalshi, and other venues, providing cross-market market-making, arbitrage, and price stability, it could become the Jane Street or Citadel of prediction markets.
This is likely what 5(c) wants to invest in most.
Tier 3: Data Monopoly
Once prediction market prices are used by media, funds, corporations, and AI agents, the "probability" itself becomes a data product.
In the future, people will be selling:
- Probability of a US recession;
- Probability of a rate cut;
- War risk index;
- Election volatility;
- Probability of an AI technology breakthrough;
- Probability of a corporate event.
This could become the Bloomberg Terminal of prediction markets. Whoever controls the data distribution controls the narrative.
Insider Trading Isn't a Peripheral Issue; It's the 'Original Sin' of Prediction Markets
Prediction markets cannot escape insider trading, but insider trading is killing them.
In traditional finance, insider trading is a market flaw. In prediction markets, inside information is almost part of the product's allure. The market's promise is "who knows the future first."
The problem is: if those who know the future first start betting, is the market discovering information or rewarding corruption?
Recent regulatory pressure clearly illustrates this issue. An AP report noted that prediction markets are under greater scrutiny due to concerns over insider trading and illegal gambling. This includes cases where military personnel allegedly used non-public information to bet on sensitive military operations, and political figures participated in markets related to their own elections.
Recently, Kalshi also penalized and suspended three congressional candidates who placed bets in markets related to their own campaigns. Although the bet amounts were small, the event struck at the most vulnerable part of prediction markets: if candidates, government employees, military personnel, regulators, and corporate executives can trade events based on non-public information they possess, the market price is no longer just "the wisdom of crowds," but potentially "the monetization of power."
Several US states have also begun to act. States like New York, California, and Illinois have recently taken measures to restrict government employees from using non-public information to trade in prediction markets. The Governor of New York signed an executive order prohibiting state employees from profiting on prediction markets like Kalshi and Polymarket using insider information obtained through their positions.
This is the regulator telling the market: if prediction markets want to enter the financial mainstream, they cannot continue to grow on the back of grey information arbitrage.
There is a paradox here.
The value of prediction markets lies in their ability to absorb dispersed information. But within that dispersed information, there will inevitably be non-public information.
- Company employees know project timelines.
- Government employees know policy directions.
- Campaign staff know internal polls.
- Military personnel know operational plans.
- Supply chain workers know production capacity changes.
- Traders know order flow.
If these people are completely excluded, the market loses some informational advantage. If they are allowed to participate, the market risks being accused of encouraging corruption and insider trading. This is the most difficult institutional dilemma for prediction markets.
Economists love prediction markets because they aggregate information. Regulators hate prediction markets because they might reward illegal information acquisition.
Therefore, a truly mature prediction market of the future won't be a completely free market. It is more likely to become a highly stratified market:
- Retail traders can trade low-sensitivity events;
- Institutions can trade compliance-reviewed events;
- Government employees, candidates, and insiders are restricted from participating;
- Events like wars, assassinations, deaths, and military operations are strictly prohibited;
- Platforms must establish monitoring, KYC, suspicious activity reporting, and penalty mechanisms.
This will sacrifice some "openness" but will be exchanged for mainstream adoption.
5(c)'s Opportunity Also Comes from This Regulatory Crackdown
Many people see regulation as bearish for prediction markets. It might be in the short term. But not necessarily in the long run. The stricter the regulation, the more it favors infrastructure companies.
Why?
Because once the industry moves towards compliance, platforms will need:
- Identity verification;
- Transaction monitoring;
- Insider trading detection;
- Market manipulation identification;
- Contract review;
- Settlement dispute resolution;
- Cross-platform risk control;
- Institutional-grade data recording;
- Audit and reporting systems.
None of these can be fully solved internally by a single company like Polymarket or Kalshi.
This is precisely 5(c)'s opportunity. The ecosystem it is betting on is not just about "letting more people bet." More importantly, it's about granting prediction markets the conditions to enter the formal financial system.
If the early prediction market grew on hype, traffic, political events, and crypto capital, the next phase relies on institutionalization. Institutionalization means slower growth, but it also means big money can enter.
It is betting on three things.
First, events will become an asset class.
Historically, financial markets trade company profits, interest rates, commodities, currencies, and volatility. Prediction markets aim to trade "events." This could be a new asset class.
Second, prediction markets will centralize.
Markets with real liquidity will concentrate on a few platforms. Polymarket and Kalshi are currently the two strongest front-end entry points.
Third, after the front-end, the greatest value lies in the back-end.
Market-making, data, indices, risk control, settlement, and compliance tools will become the industry's profit pool. 5(c) doesn't need to judge whether Polymarket or Kalshi will ultimately win. It only needs to judge if this industry will grow. If the answer is yes, then investment opportunities will emerge in the infrastructure layer.
This is also why two competing CEOs can simultaneously become investors.
They aren't jointly supporting a competitor. They are buying insurance for the market foundation that both of them will need in the future.
