Order Imbalance Based Strategy in High Frequency Algorithmic Trading

  • Unique Paper ID: 153541
  • PageNo: 500-502
  • Abstract:
  • Algorithmic trading, which is also called automated trading, uses a computer program that follows a defined set of instructions (an algorithm) to place a trade. Algorithmic trading can generate profits at a speed and frequency that is impossible for a human trader. Algo-trading renders markets more liquid and trading more systematic by ruling out the impact of human emotions on trading activities.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{153541,
        author = {Mrs. S. P. Mone and Udayraj Mahajan and Abhijay Metekar and Kimaya Nesarikar},
        title = {Order Imbalance Based Strategy in High Frequency Algorithmic Trading},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {7},
        pages = {500-502},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=153541},
        abstract = {Algorithmic trading, which is also called automated trading, uses a computer program that follows a defined set of instructions (an algorithm) to place a trade. Algorithmic trading can generate profits at a speed and frequency that is impossible for a human trader. Algo-trading renders markets more liquid and trading more systematic by ruling out the impact of human emotions on trading activities.},
        keywords = {Algorithmic trading, financial market, High frequency trading, Order imbalance based strategy.},
        month = {},
        }

Cite This Article

Mone, M. S. P., & Mahajan, U., & Metekar, A., & Nesarikar, K. (). Order Imbalance Based Strategy in High Frequency Algorithmic Trading. International Journal of Innovative Research in Technology (IJIRT), 8(7), 500–502.

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