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SoK: Market Microstructure for Decentralized Prediction Markets (DePMs)

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  • Nahid Rahman
  • Joseph Al-Chami
  • Jeremy Clark

Abstract

Decentralized prediction markets (DePMs) allow open participation in event-based wagering without fully relying on centralized intermediaries. We review the history of DePMs which date back to 2011 and includes hundreds of proposals. Perhaps surprising, modern DePMs like Polymarket deviate materially from earlier designs like Truthcoin and Augur v1. We use our review to present a modular workflow comprising seven stages: underlying infrastructure, market topic, share structure and pricing, trading, market resolution, settlement, and archiving. For each module, we enumerate the design variants, analyzing trade-offs around decentralization, expressiveness, and manipulation resistance. We also identify open problems for researchers interested in this ecosystem.

Suggested Citation

  • Nahid Rahman & Joseph Al-Chami & Jeremy Clark, 2025. "SoK: Market Microstructure for Decentralized Prediction Markets (DePMs)," Papers 2510.15612, arXiv.org.
  • Handle: RePEc:arx:papers:2510.15612
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    References listed on IDEAS

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    1. Justin Wolfers & Eric Zitzewitz, 2006. "Interpreting prediction market prices as probabilities," Working Paper Series 2006-11, Federal Reserve Bank of San Francisco.
    2. Robin Hanson, 2007. "Logarithmic Market Scoring Rules for Modular Combinatorial Information Aggregation," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 3-15, February.
    3. Koessler, Frédéric & Noussair, Charles & Ziegelmeyer, Anthony, 2008. "Parimutuel betting under asymmetric information," Journal of Mathematical Economics, Elsevier, vol. 44(7-8), pages 733-744, July.
    4. Jason Milionis & Jens Ernstberger & Joseph Bonneau & Scott Duke Kominers & Tim Roughgarden, 2025. "Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure," Papers 2503.07558, arXiv.org.
    5. Robin Hanson, 2003. "Combinatorial Information Market Design," Information Systems Frontiers, Springer, vol. 5(1), pages 107-119, January.
    6. Ariah Klages-Mundt & Andreea Minca, 2019. "(In)Stability for the Blockchain: Deleveraging Spirals and Stablecoin Attacks," Papers 1906.02152, arXiv.org, revised Mar 2021.
    7. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    8. Crawford, Vincent P & Sobel, Joel, 1982. "Strategic Information Transmission," Econometrica, Econometric Society, vol. 50(6), pages 1431-1451, November.
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