High Frequency Trading on FPGAs

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IEEE CS and Triton Quantitative Trading at UCSD will present their work on developing an order book algorithm deployed on a FPGA to perform high frequency trading on NASDAQ data. The presentation will be led by Brendon Cheng (3rd year Electrical Engineering), on June 5th at the CSE building.


  Date and Time

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  • San Diego, California
  • United States
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  • Starts 21 May 2026 07:00 AM UTC
  • Ends 05 June 2026 07:00 AM UTC
  • No Admission Charge

  Speakers

Brendon

Topic:

High Frequency Trading on FPGAs