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Brunt of technology in stock trading - empirical evaluation of movement in trading modes

Author

Listed:
  • Janani Ravinagarajan
  • Sharon Sophia

Abstract

Technical indicators use volume patterns to confirm trends, momentum, return, and volatility of the market. Assessing the conviction behind market advances and declines based on exchange-defined differences in trading mode is a fascinating way to ascertain market insights. In this context, the study is novel and structured to add literature in two aspects - the study evaluates: 1) the relationships between trade movements in seven different stock trading platforms; 2) attempts to gather additional evidence for the mixed distribution hypothesis identifying the relationship between trade movements and index movement, return and volatility. The study recommends the model as a part of surveillance to assess the impact of trade movement generated in specific trading mode. It can also be used by technical traders to ascertain trading signals, and behavioural insights from the other trading modes mutually.

Suggested Citation

  • Janani Ravinagarajan & Sharon Sophia, 2023. "Brunt of technology in stock trading - empirical evaluation of movement in trading modes," International Journal of Electronic Finance, Inderscience Enterprises Ltd, vol. 12(2), pages 117-141.
    • Handle: RePEc:ids:ijelfi:v:12:y:2023:i:2:p:117-141
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