Report: Automating the Trading Desk

Monika kucharska

Report: Automating the Trading Desk
  • v1.0 Version
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  • 800KB File Size
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  • 19th December 2022 Create Date
  • 19th December 2022 Last Updated
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This article will focus on the following ways machine learning can improve the trade lifecycle and aid the trader in their job role including:
- Automatic selection of the most effective algorithm to balance market impact, order urgency, and achieving the best price.
- Optimization of the parameters in the algorithm to improve executions.

These outcomes can be achieved by feeding TCA data into a machine learning model. Using trading performance and an analysis of intraday versus historic data, orders can be automatically adjusted in real-time.