The Viability of Blockchain Markets under Discrete Clearing and Paid Priority

Battle Count: 83

The paper is highly relevant to DeFi quantitative trading and crypto market microstructure. It provides theoretical foundations for understanding priority fee bidding strategies, optimal trading volumes in DEXs, and the impact of block time on execution quality. For traditional quantitative trading, relevance is moderate as it primarily addresses blockchain-specific market structure. However, insights on adverse selection, discrete clearing, and auction-based execution are transferable to batch auction markets and periodic clearing venues. The empirical findings on queue position vs. trading volume are directly actionable for DeFi trading strategies.

The theoretical model involves solving a multi-stage game with Perfect Bayesian Equilibrium, integral equations for trading volumes, ODEs, and multi-prize auction theory. The equilibrium characterization requires solving coupled fixed-point problems across three stages. Empirical implementation would require processing large-scale blockchain transaction data (millions of transactions), computing queue positions within blocks, and estimating distributional parameters. The mathematical sophistication is high, requiring expertise in game theory, auction theory, and stochastic calculus.

The paper provides complete mathematical proofs in Appendix B for all propositions and lemmas. However, it is a purely theoretical paper with no code repository. Empirical validation uses publicly available Ethereum/Uniswap data (referenced via Dune Analytics queries and EthPandaOps), but no direct code or processed datasets are provided. The theoretical framework is fully specified with all assumptions stated, making analytical reproduction feasible for experts in the field.