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Data and replication supplement for double auction markets with snipers.

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This study provides a dataset for robot-populated double auction market simulations, analyzing profitability, efficiency, and inequality. The data explores how sniper bots and market structures impact trading outcomes and economic metrics.

Keywords:
Competitive equilibriumDouble auctionEfficiencyInequalityMarketsNumerical experimentsSimulations

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Area of Science:

  • Computational Economics
  • Market Simulation
  • Algorithmic Trading

Background:

  • Understanding market dynamics is crucial for economic analysis.
  • Robot-populated markets offer a controlled environment to study trading behavior.
  • The impact of strategic agents, like 'Sniper Bots', on market outcomes requires investigation.

Purpose of the Study:

  • To provide a comprehensive dataset for the research article 'Profitability, Efficiency and Inequality in Double Auction Markets with Snipers'.
  • To enable replication and further analysis of robot-populated double auction market simulations.
  • To investigate the effects of varying robot populations, market schedules, and agent ordering on market performance.

Main Methods:

  • Developed a robot-populated double auction market simulator.
  • Designed 84 unique simulation treatments based on a 2x2x21 factorial design.
  • Collected detailed market data including orders, trades, profits, and key economic metrics over 10,000 periods per treatment.

Main Results:

  • The dataset includes raw output data, configuration files, and calculated metrics for all 84 treatments.
  • Outputs encompass order book data, trade logs, agent profits, efficiency-of-allocation, Gini coefficient, and price statistics.
  • A public copy is available on Google Cloud for BigQuery analysis, with open-source simulation modules provided.

Conclusions:

  • The provided dataset facilitates in-depth analysis of profitability, efficiency, and inequality in simulated double auction markets.
  • The simulation framework allows for systematic exploration of market behavior under different configurations of strategic trading agents.
  • Open access to data and simulation tools promotes transparency and reproducibility in computational economics research.