Government shutdown and the Israel-Iran conflict take center stage, regulatory stance softens, and AI compute power prediction markets emerge. Below is today’s (February 13, 2026) core coverage of trending prediction market topics:
Data Overview: According to the latest data from Senal Research Institute’s Prediction Market News Channel, Polymarket’s 24-hour trading volume reached $264 million, down 4.7% from yesterday; open interest stands at $358 million.
Kalshi’s 24-hour trading volume reached $345 million, up 7.7% from yesterday; open interest stands at $367 million; OPINION’s 24-hour trading volume reached $113 million, up 29.1% from yesterday; open interest stands at $126 million.
Top Prediction #1: On Polymarket, an address with over $10,000 in cumulative profits and a 100% historical win rate on political markets placed a $3,000 bet on “U.S. government shutdown lasts longer than seven days,” with an average entry price of $0.75 and current price at $0.68.
This U.S. government shutdown stems from a funding dispute over the Department of Homeland Security and may begin as early as February 14. It will end once both parties reach an agreement or enact a temporary funding bill. Its duration hinges on the speed of compromise between Congress and the President. Historically, short shutdowns are typically resolved within 1–3 days—but prolonged gridlock could extend the shutdown for several days or even weeks.
2: On Polymarket, an address with a 72% historical win rate on political markets has been accumulating positions on “Israel will strike Iran before June 30,” totaling $18,400 in bets, with an average entry price of $0.50 and current price at $0.51.
Yesterday, during a White House meeting with Israeli Prime Minister Netanyahu, former President Trump reaffirmed his continued commitment to advancing negotiations with Iran and prioritizing diplomatic solutions. Key discussion points included Iran’s nuclear program, its ballistic missile initiatives, and its support for regional armed groups. Netanyahu, meanwhile, advocated a harder-line stance, stressing that Iran must be prevented from ever acquiring nuclear weapons. No concrete agreement on Iran strategy was reached.
Related News #1: CFTC Chair Sets Regulatory Tone for Prediction Markets: Flexible Oversight Preferred Over Strict Control. CFTC Chair Mike Selig outlined his regulatory philosophy toward prediction markets in depth during his February 12 appearance on Bloomberg’s Odd Lots podcast.
Selig characterized prediction markets as a natural evolution of financial markets and advocated for “principle-based” regulation—rather than case-by-case approvals—emphasizing that the CFTC avoids “value-judgment regulation”: it does not dictate which contracts users may trade, but instead ensures market integrity, resilience, and investor protection.
Addressing controversy over whether sports-related contracts constitute gambling, Selig clearly distinguished prediction markets’ “two-sided counterparty” structure from traditional bookmaking’s “bet-against-the-house” model, asserting that the former qualifies as a regulated financial market activity—not gambling. He also responded to concerns about CFTC staffing shortages, noting the agency is leveraging AI and other technologies to enhance market surveillance and insider trading enforcement—and affirmed that the existing contract listing process already includes rigorous self-certification and anti-manipulation review mechanisms.
2: AI Compute Power Enters Prediction Markets: Pluto’s PMEX Applies to CFTC for Dual Exchange & Clearing Licenses. Pluto—an AI infrastructure-focused prediction market platform—has submitted dual applications via its exchange entity PMEX Markets to the CFTC for designation as both a Designated Contract Market (DCM) and a Derivatives Clearing Organization (DCO).
If approved, Pluto will be able to operate a fully regulated derivatives exchange and conduct internal clearing, forming a vertically integrated architecture similar to Kalshi and Polymarket US. Unlike those platforms—which scaled initially through retail event-based contracts—Pluto was conceived from inception to serve institutional hedging use cases. Its core mission is to “commoditize” AI infrastructure resources—including GPU compute capacity and data center output—enabling them to be traded and hedged like oil or gold.
CEO Ronit Jain stated the platform will serve lenders, speculators, enterprises, and cloud service providers, acting as a financial risk management layer for AI companies and data center investors. The team graduated from Y Combinator’s Winter 2025 batch; last year, it raised ~$3 million in seed funding and is now seeking $7 million in new capital at a $60 million valuation. If approved, PMEX will become the first regulated prediction market exchange dedicated exclusively to AI infrastructure derivatives.
[Senal Research Institute]
Prediction Markets at Inflection Point: Regulatory Clarity Meets Institutional Adoption
The prediction market landscape is undergoing a significant transformation, with regulatory clarity emerging alongside institutional adoption and novel market creation. The latest developments signal that these markets, once considered niche derivatives, are maturing into legitimate financial instruments with broad implications for both traditional and crypto-native investors.
Market Performance: Institutionalization in Action
The divergent performance among major prediction platforms reveals a clear narrative of institutionalization. Kalshi’s 7.7% volume increase to $345 million demonstrates growing institutional participation, while OPINION’s remarkable 29.1% surge to $113 million suggests either successful market expansion or the discovery of new information asymmetries. Polymarket’s slight decline, while notable, likely represents profit-taking following its explosive growth trajectory rather than structural weakness.
These figures collectively indicate that prediction markets are transitioning from retail-dominated venues to sophisticated platforms attracting diverse participant types. The sustained open interest across all platforms—ranging from $126 million to $367 million—proves that prediction markets have evolved from novelty instruments to durable financial infrastructure.
Regulatory Watershed: CFTC’s Principle-Based Approach
CFTC Chair Mike Selig’s recent interview represents perhaps the most significant regulatory development in prediction markets since their inception. His explicit rejection of “value-judgment regulation” and endorsement of a principle-based approach fundamentally changes the risk calculus for market participants.
The CFTC’s clear distinction between prediction markets’ “two-sided counterparty” structure and traditional gambling is particularly noteworthy. This distinction isn’t merely semantic—it creates a legal foundation for institutional capital to flow into prediction markets without the gambling stigma that has historically constrained their growth.
Equally important is the CFTC’s acknowledgment of staffing limitations and its strategic pivot toward AI-powered surveillance. This pragmatic approach addresses the most common criticism of prediction markets—manipulation concerns—while maintaining the flexibility that has enabled innovation. For investors, this regulatory clarity significantly reduces the binary risk of outright prohibition in favor of a more manageable oversight framework.
Geopolitical Markets: Information Asymmetry as Alpha
The active trading in U.S. government shutdown and Israel-Iran conflict markets reveals sophisticated participants capitalizing on information asymmetries. The $3,000 bet on a government shutdown extension by a trader with a 100% historical win rate suggests either superior information or exceptional analytical capability. Similarly, the $18,400 accumulated position on Israel-Iran conflict timing by a trader with a 72% win rate indicates conviction in a directional move.
For sophisticated investors, these markets present unique opportunities to express views on black swan events with more precision and potentially less slippage than traditional instruments. However, they also highlight the inherent risk of geopolitical prediction markets—the difficulty of accurately modeling complex political interactions and the potential for unexpected developments to render even well-researched positions worthless.
AI Infrastructure Prediction Markets: The Next Frontier
Pluto’s application for dual exchange and clearing licenses represents a pivotal moment for prediction markets. By focusing exclusively on AI infrastructure derivatives, Pluto is targeting a critical need in the rapidly evolving AI economy. The commoditization of GPU compute capacity and data center output addresses fundamental risk management challenges for AI companies and data center investors.
The vertical integration strategy—operating both exchange and clearing functions—aligns with successful models established by Kalshi and Polymarket US. However, Pluto’s institutional focus differentiates it from retail-first platforms and targets a different set of use cases. The $60 million valuation target, while aggressive, may prove conservative if Pluto successfully captures a meaningful share of what could become a multi-billion dollar market for AI infrastructure derivatives.
For investors, Pluto represents a play on both the prediction market ecosystem and the broader AI infrastructure trend. The team’s Y Combinator pedigree and seed funding provide a foundation of credibility, but regulatory approval remains a key risk factor.
Investment Implications and Strategic Positioning
For sophisticated crypto investors, the prediction market ecosystem presents several compelling opportunities:
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Direct Exposure: Kalshi and Polymarket offer direct exposure to prediction market growth, though regulatory differences between jurisdictions create complexity.
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Infrastructure Players: Companies providing technology infrastructure for prediction markets stand to benefit from increasing adoption and sophistication.
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Specialized Platforms: Pluto’s focus on AI infrastructure derivatives represents a thematic play at the intersection of two high-growth sectors.
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Data and Analytics: Sophisticated analytical tools that can identify information asymmetries in prediction markets offer alpha-generation potential.
However, significant risks remain:
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Regulatory Uncertainty: Despite recent clarity, regulatory environments could still shift, particularly in jurisdictions outside the CFTC’s purview.
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Market Manipulation: Even with AI surveillance, prediction markets remain vulnerable to sophisticated manipulation techniques.
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Liquidity Fragmentation: The proliferation of platforms may dilute liquidity across individual markets.
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Black Swan Events: Unforeseen geopolitical developments can render even well-researched positions worthless.
Conclusion: Maturation Without Complacency
The prediction market ecosystem is undeniably maturing, with regulatory clarity, institutional adoption, and novel market creation driving growth. The CFTC’s principle-based approach provides a foundation for sustainable development, while the emergence of specialized platforms like Pluto expands the ecosystem’s reach and utility.
For investors, this maturation presents both opportunities and challenges. While regulatory clarity reduces binary risk, it also increases competition and requires more sophisticated analysis. The most successful investors will be those who understand not just the mechanics of prediction markets, but also the underlying fundamentals of the events being predicted and the regulatory environments governing these markets.
The prediction market ecosystem is no longer a niche corner of the crypto world—it’s becoming an increasingly important component of the broader financial infrastructure. As such, it deserves serious consideration from sophisticated investors seeking exposure to alternative data sources and novel financial instruments.