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Order flow analysis of cryptocurrency markets

Author

Listed:
  • Eduard Silantyev

    (Thalesians Ltd.
    BNP Paribas
    London Institute of Banking and Finance)

Abstract

Order flow analysis studies the impact of individual order book events on resulting price change. Using data acquired from BitMex, the largest cryptocurrency exchange by traded volume, the study conducts an in-depth analysis on the trade and quote data of the XBTUSD perpetual contract. The study demonstrates that the trade flow imbalance is better at explaining contemporaneous price changes than the aggregate order flow imbalance. Overall, the contemporaneous price change exhibits a strong linear relationship with the order flow imbalance over large enough time intervals. Lack of depth and low update arrival rates in cryptocurrency markets are found to be the main differentiators between the nascent asset class market microstructure and that of the established markets.

Suggested Citation

  • Eduard Silantyev, 2019. "Order flow analysis of cryptocurrency markets," Digital Finance, Springer, vol. 1(1), pages 191-218, November.
    • Handle: RePEc:spr:digfin:v:1:y:2019:i:1:d:10.1007_s42521-019-00007-w
    DOI: 10.1007/s42521-019-00007-w
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    References listed on IDEAS

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    Cited by:

    1. Lennart Ante, 2022. "The Non-Fungible Token (NFT) Market and Its Relationship with Bitcoin and Ethereum," FinTech, MDPI, vol. 1(3), pages 1-9, June.
    2. Jeon, Yoontae & Samarbakhsh, Laleh & Hewitt, Kenji, 2021. "Fragmentation in the Bitcoin market: Evidence from multiple coexisting order books," Finance Research Letters, Elsevier, vol. 39(C).
    3. Jörg Osterrieder & Andrea Barletta, 2019. "Editorial on the Special Issue on Cryptocurrencies," Digital Finance, Springer, vol. 1(1), pages 1-4, November.
    4. Johann Lussange & Stefano Vrizzi & Stefano Palminteri & Boris Gutkin, 2024. "Modelling crypto markets by multi-agent reinforcement learning," Papers 2402.10803, arXiv.org.
    5. Alessio Brini & Jimmie Lenz, 2024. "A comparison of cryptocurrency volatility-benchmarking new and mature asset classes," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-38, December.
    6. Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.

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