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Q&A: Badass Capital on AI-powered hedge funds and the liquidity issue with prediction markets

Reported by Egr
Jun 2, 2026· 2 min read
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Key Takeaways
  • • Mark Thomas, former CEO of ZenSports, launched Badass Capital, a Miami-based AI-first hedge fund deploying proprietary artificial intelligence models and agents across sports betting, traditional finance, cryptocurrency, and prediction markets.
  • • Badass Capital's strategy targets inefficiencies in multiple asset classes simultaneously, with particular focus on event contract trading spanning sports, economics, and political prediction markets.
  • • The fund addresses a structural liquidity challenge in prediction markets by using AI-powered analytics to optimize market entry and exit timing, reducing exposure to liquidity overhang risks that have historically plagued these venues.
  • • AI integration enables risk mitigation through predictive analytics that detect market anomalies before they materialize, positioning the fund to capitalize on mispricings across fragmented market segments.
  • • The convergence of increased institutional liquidity flows, maturation of AI trading infrastructure, and expansion of regulated prediction markets creates a distinctive window for AI-first fund strategies to generate alpha.
Summary
Mark Thomas, former CEO of ZenSports, has launched Badass Capital, an AI-first hedge fund based in Miami that leverages proprietary artificial intelligence models to identify and exploit market inefficiencies across multiple asset classes. Thomas transitioned from traditional operational leadership into a technical co-founder role to build the fund's AI infrastructure, reflecting a broader shift among alternative investment managers toward in-house machine learning capabilities.

The fund's strategy encompasses sports betting, traditional financial markets, cryptocurrency trading, and prediction markets—a deliberately diversified approach designed to capture alpha across fragmented and often illiquid venues. A critical component of Badass Capital's thesis addresses what institutional investors have identified as a persistent pain point: liquidity constraints in prediction markets. By deploying predictive analytics and intelligent execution algorithms, the fund mitigates the liquidity overhang that has historically limited institutional participation in event contracts and political/economic prediction markets.

According to the fund's positioning, three converging market forces underpin the investment thesis: a significant boom in institutional liquidity allocations toward alternative venues, maturation of AI-powered trading infrastructure, and expansion of regulated prediction market infrastructure. These conditions enable AI-first funds to detect and act upon market anomalies with speed and precision unavailable to traditional hedge fund research and execution models. Risk mitigation occurs through continuous anomaly detection via machine learning, allowing the fund to reduce exposure to unexpected market dislocations while maintaining positions in mispricings.

The fund's entry into prediction markets reflects a broader institutional recognition that event contract trading—particularly in sports, economics, and politics—represents a nascent but rapidly professionalizing asset class. By combining AI analytics with execution optimization, Badass Capital positions itself to address the structural mismatch between growing institutional demand for prediction market exposure and the limited liquidity depth that has constrained capital deployment in these venues.

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Sources

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Egr Q&A: Badass Capital on AI-powered hedge funds and the liquidity issue with prediction markets