About the Challenge

Welcome to Algo Equity Trading Challenge 2022 (Global).

Ideate your trading algorithms, test on a robust back-testing platform, and compete to make a name for yourself! Gain professional industry knowledge and practical skills to prepare yourself as the next-gen algo-trading professional.

This Challenge is open to public. Create teams of 1~4 members with diverse skills (maths, statistics, finance, coding, presentation) and register by 17 Jun 2023.


1st Round: Ideate

Registered teams of 1-4 members will prepare a ppt less than 15 slides consisting of:

  • Executive summary
  • Trading idea description
  • Trading logic
  • Team biography
  • Implementation detail

Coding is not required in this round

Submission deadline: 21 Jul 2023

Result announced: 31 Jul 2023


2nd Round: Test

Teams will code their trading algorithm and test on ALGOGENE's back-testing engine, then submit the code

Judges will backtest trading algorithms for return, volatility, robustness and practicality to select advancing teams

Submission deadline: 23 Sep 2023

Result announced: 31 Sep 2023


Final Round: Compete

Each team need to compete in out-sample forward test and live paper trading

Live paper trading will last for 2 months from 1-Oct-2023 to 30-Nov-2023

Teams will present trading plan to judges in a 5-minute pitch session on final day

Judges will select winners in each of these categories:

  • Best Sharpe
  • Best Market Return
  • Best Strategy Design

Final Day: 10 Dec 2023

Judging Criteria


Form a team of 1~4 members with diverse skills (maths, statistics, finance, coding, presentation) and register by 17 Jun 2023.


The dataset provided includes the tick level bid-ask updates, and covers data from normal trading days from Jan 2016 to Dec 2021. Kindly note that data provided is strictly for trading strategy prototyping purposes only. Final round evaluations will be carried out using a new data set with the same structure but from a different time period. Thus, over-fitting of the data set is discouraged.

Trading Products

  • US & HK Large Cap
  • ETF


Provide access to required historical data for model development and testing

  • Market data
  • Corporate data
  • News
  • Economic Statistics


Access to ALGOGENE's back-testing engine, cloud simulation environment and relevant technical documents


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