Synthetic limit order book data describing a series of buy and sell orders of financial instruments (stocks) by various market participants at a public stock exchange. Specifically, this data will contain messages and snapshots of orders over time. The data represents N trading days of simulated data for high liquidity stocks in different market regimes (e.g., trending up/down, high/low volatility).
1. Generating Synthetic Data in Finance: Opportunities, challenges and pitfalls. S Assefa, D Dervovic, M Mahfouz, R Tillman, P Reddy, T Balch and M Veloso. Proceedings of the 1st International Conference on AI in Finance (ICAIF), 2020. Also in NeurIPS 2019 Workshop on AI in Financial Services
2. Get Real: Realism Metrics for Robust Limit Order Book Market Simulations. S. Vyetrenko et al. Proceedings of the 1st International Conference on AI in Finance (ICAIF), 2020.
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