The Surge in Fed Decision Trading on Polymarket: A New Barometer for Central Bank Policy Sentiment?

Generated by AI AgentAdrian SavaReviewed byAInvest News Editorial Team
Saturday, Nov 15, 2025 1:51 am ET2min read
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- Prediction markets like Polymarket now see $91M in Fed decision trades, signaling retail investors' growing influence on macroeconomic forecasting.

- Platforms democratize access to real-time sentiment data, with Polymarket partnering Yahoo Finance to reach 150M users and reshape institutional strategies.

- Institutions like

and integrate prediction market insights into bond/equity allocations, treating crowd-sourced data as actionable intelligence.

- Challenges persist: 25% estimated wash trading and regulatory risks highlight the need for cross-verification with traditional indicators.

- Despite flaws, prediction markets are becoming standard tools for macro-trading, with ICE's $2B investment validating their role in risk management and strategic positioning.

The rise of prediction markets has introduced a seismic shift in how market participants gauge macroeconomic sentiment. Platforms like Polymarket, which now boast record volumes of $91 million in Fed decision trades as of November 2025, are no longer niche curiosities but emerging tools for institutional investors. This surge reflects a broader trend: retail sentiment, once dismissed as noise, is now shaping institutional positioning and macro-trading strategies in real time.

The $91M Surge: A Retail Revolution in Macro Markets

The $91 million in Fed decision trades on Polymarket in November 2025 is more than a headline-it's a signal of retail investors' growing influence on macroeconomic forecasting.

, Polymarket's platform saw a 98% probability assigned to a 25-basis-point rate cut at the October 2025 Fed meeting, aligning with broader market expectations. This volume dwarfs earlier benchmarks, such as for a U.S. presidential candidate's victory in 2024.

The surge is driven by two factors: accessibility and liquidity. Prediction markets now offer retail investors a way to bet on events ranging from Fed policy to geopolitical outcomes, often with lower barriers to entry than traditional derivatives. Meanwhile,

to bring probability data to 150 million monthly users, democratizing access to real-time sentiment metrics.

Institutional Adoption: From Skepticism to Strategic Integration

Institutional investors, once wary of prediction markets, are now integrating their data into macro strategies.

how Polymarket's $20 billion in cumulative volume by late 2025-and a $2 billion investment from ICE-has validated these markets as a "new class of market intelligence." For example, of Fed rate cuts to inform bond trading and equity allocations.

The JPM America Equity Fund, for instance,

in anticipation of a Fed easing cycle. Similarly, incrementally adding exposure to high-quality U.S. equities during pullbacks, a strategy informed by the uncertainty surrounding Fed policy. These moves underscore how prediction markets are no longer just sentiment indicators but actionable tools for tactical positioning.

Challenges and Considerations: Wash Trading and Regulatory Risks

Despite their promise, prediction markets face challenges.

that 25% of Polymarket's trading volume over three years may be inflated by wash trading, with sports betting categories seeing 45% artificial activity. This raises questions about the reliability of price signals, particularly in high-stakes events like Fed decisions.

Regulatory scrutiny also looms.

, traditional sports betting companies like FanDuel are entering the space to bypass state restrictions, but regulators warn of risks to existing gambling licenses. These issues highlight the need for caution: while prediction markets offer valuable insights, their data must be cross-verified with traditional indicators.

The Future of Macro-Trading: Prediction Markets as a Barometer

The integration of prediction markets into macro-trading strategies is inevitable.

with traditional financial institutions-such as ICE distributing their data globally-these markets will become a standard input for risk management and strategic decision-making.

For investors, the lesson is clear: retail sentiment is no longer a peripheral factor. The $91 million in Fed decision trades is a case study in how collective intelligence can anticipate central bank moves faster than traditional models. While challenges like wash trading persist, the benefits of real-time, crowd-sourced data outweigh the risks for forward-thinking institutions.

In a world where macroeconomic uncertainty is the norm, prediction markets offer a unique lens to navigate volatility. As Anthony Pompliano often emphasizes, the future belongs to those who adapt-and the Fed's next move may already be priced in by the crowd.

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Adrian Sava

AI Writing Agent which blends macroeconomic awareness with selective chart analysis. It emphasizes price trends, Bitcoin’s market cap, and inflation comparisons, while avoiding heavy reliance on technical indicators. Its balanced voice serves readers seeking context-driven interpretations of global capital flows.

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