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Algo Trading Challenge 2023/24

Global Contest - Korea Large Cap Equity

Ideate your strategies, test your algorithms, compete to win!


  • days
  • Hours
  • Minutes
  • Seconds

About the Challenge

Welcome to Algo Trading Challenge 2023/24.

Code your trading algorithms, compete in live financial market, and pitch 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 31 Oct 2023.



ideate

1st Round: Code

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


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

Submission deadline: 31 Dec 2023


test

2nd Round: Compete

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


Live paper trading will last for 2 months from 2-Jan-2024 to 29-Feb-2024


Completion: 29 Feb 2024


compete

Final Round: Pitch

Teams will present trading plan to judges in a 5-minute pitch session in Finale


The trading plan is a ppt less than 15 slides consisting of:

  • Executive summary
  • Trading idea description
  • Implementation detail
  • Risk Management
  • Team biography

Judges will select winners in each of these categories:

  • Best Sharpe
  • Best Market Return
  • Best Strategy Design

Finale: 10 Mar 2024


Judging Criteria

  • Schedule
  • Judging Criteria
  • Awards
  • Rules
  • FAQ

Schedule

Date Event
31 Oct 2023 Deadline of Registration
1 Nov 2023 Online Briefing Session & Backtest Engine Introduction
31 Dec 2023 1st Round: Back-testing Completed and Code Submission
29 Feb 2024 2nd Round: 2-month Live Paper Trading Completed
10 Mar 2024 3rd Round: Finale and Award Ceremony

Juding Criteria

Judging panel criteria comprises team performance (30%), trading strategy (30%), and presentation (10%), plus the risk-adjusted return (30%) as computed by the our back-test system.


(A) Best Return

A good return is the primary goal of every algo trading strategy. Our state-of-the-art trading system will back-test the trading strategies of Finale teams to ascertain outcomes. The team with the highest out-sample 1-year forward test and 2-month live paper trading return will win this award.


(B) Best Sharpe

A good strategy does not only need to be profitable, but it is also important to take care of the risk taking. The team with the highest Sharpe will win this award.


(C) Best Strategy Design

Recognises Finale participants' knowledge and skills in developing the best algo trading strategy that demonstrated the following:

  • Trading Strategy Logic: reasonable return, manageable risk, stability and predictability;
  • Creativity: innovative use of statistical models, parameters, forecasting methodology or interpretation of data and novel ideas based on existing theory and models; and
  • Execution Potential: a realistic strategy and full consideration of factors including capital, trading time, market impact and risk management.

Awards

There are 3 award categories: (A) Best Sharpe (B) Best Market Return (C) Best Strategy Design.

The winning team from each category will be entitled to:


Cash prize


  • 1st place: US$300
  • 2nd place: US$200
  • 3rd place: US$100

Certificate


All prize winners will receive a participation certificate

Free Subscription of Back-testing Engine


All prize winners will get 1-year free subscription of ALGOGENE's back-testing platform

Algo NFT


All prize winners will have a chance to get their algo minted as NFTs in Opensea

Employment Opportunities


All prize winners may have a chance to have internship / full-time employment from the Organisers

Join Algo Challenge Association (ACA)


All prize winners will connect with algo fund managers and industrial professionals in Algo Challenge Association (ACA)

Messi's merchandise


Winning team will get 1 set of Messi merchandise


Rules & Regulations

  1. The Challenge is open to public.
  2. Each individual contestant is only allowed to be in one team.
  3. Each team must elect one representative to liaise with the organizers.
  4. All entries must be the original work of the contestant team. Any form of plagiarism is prohibited and the contestant team will be disqualified from the Challenge.
  5. Each individual contestant is required to sign a Non-Disclosure Agreement with the organizers.
  6. Finalists must present valid Student ID cards and provide a copy for verification.
  7. The judging panel’s decision of the Challenge results is final. The organizers reserve the right to the final decision in all other areas.
  8. An online briefing session will be arranged during registration period to answer any inquiries about the Challenge.

FAQ

Q: If a person is in overseas, can he still join the competition via zoom?

A: Overseas participants are still able to join the Finale via Zoom, though the Finale will be held in hybrid. The Finale and award presentation is on 10 Mar 2024.


Registration

Form a team of 1~4 members with diverse skills (maths, statistics, finance, coding, presentation) and register by 31 Oct 2023.

Application is closed.


Resources

The dataset provided includes the historical trading records of Korean equity market in past years. Kindly note that the 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

  • Korean Large Cap
  • ETF

Datasets

Provide access to required historical data for model development and testing

  • Market data
  • News
  • Economic Statistics

System

Access to our back-testing engine, cloud simulation environment and relevant technical documents

OpenAI GPT4 embeded in engine to copilot and assist your coding


Parties

Event Sponsors:

Bitget
Messi
AWS

More partners joining ...


Supporting Organizations:

Ministry of SMEs and Startups
National IT Industry Promotion Agency
GCCEI
Nautilus Venture Partners
TNE Partners
FINBOT LIMITED
Invest Hong Kong
FintechHK
HKSTP
ASTRI
CFA Society Hong Kong
HKUST Entrepreneurship Center
Fintech@hkbu
Institute of Financial Technologists of Asia
HKAI LAB
Google Developer Student Clubs
Topaz Capital Management Limited
KiwiTech
Fintech Matcher
Trading PLC
FiO

Participating Universities:

Harvard University
University of California, Berkeley
Imperial College London
Columbia University in the City of New York
University of Southern California
Yale University
Stanford University
Macquarie University
Universidad Nacional de Colombia
Georgia Institute of Technology
CentraleSupélec
Indian Institute Of Management–Rohtak
Singapore Management University
Nanyang Technological University
中国科学院信息工程研究所
City University of Hong Kong
Hong Kong Baptist University
The Chinese University of Hong Kong
The Chinese University of Hong Kong, Shenzhen
The Hang Seng University of Hong Kong
The Hong Kong Polytechnic University
The Hong Kong University of Science and Technology
Hong Kong Metropolitan University
The University of Hong Kong
Seoul National University
Yonsei University
Pohang University of Science and Technology

More universities joining ...


Media Partners:

InvesTalk
Sun Channel

More partners joining ...


Co-organisers:

ALGOGENE FINTECH. CO. LTD.
Algo Challenge Association
AlgoBot Limited
Quantit

Results

The final result of the Algo Trading Challenge 2023/24 (Global) comes out! Congratulation to all winning teams!


Korea Equity Stream

Best Return: live trading period 01/01/2024-29/02/2024




Best Sharpe: 1-year out-sample forward test 01/01/2023 - 31/12/2023



Rank Team Best Return
1 AlphaOmega Capital 26.11%
2 newbies 11.19%
3 Traders Tarts 0.71%


Rank Team Best Sharpe
1 Traders Tarts 1.1593
2 SigmaGo 0.8908
3 newbies 0.8905


Rank Team Best Strategy Design
1 Traders Tarts Cross-sectional momentum strategy to buy the past winners using a generalized risk-adjusted ratio ranking approach
2 AlphaOmega Capital Leveraging KOSPI High-Frequency data, we look for the best cointegration pairs among the 100 largest stocks in KOSPI. By utilizing the mean-reverting tendency of the stock pair’s spread, we employ a long/short strategy with z-values indicator
3 SigmaGo Trade directional bet when momentum outweigh mean reversion statistically.





Crypto Stream

Best Return: live trading period 01/01/2024-29/02/2024




Best Sharpe: 1-year out-sample forward test 01/01/2023 - 31/12/2023



Rank Team Best Return
1 Jacobian 25.14%
2 AlphaHunter 13.99%
3 vampire_girl 7.93%


Rank Team Best Sharpe
1 Jacobian 0.7462
2 All or Nothing 0.7354
3 vampire_girl 0


Rank Team Best Strategy Design
1 GOD OF CTA Mult-strategy CTA algo based on various crypto factors and models. Using z-score as the main model to trade and implemented different weighting between strategies and underlying.
2 All or Nothing The strategy is using MACD as buying or selling signals. Also, the strategy will close all the position before the next trade to provide stability.
3 OCX The momentum trading strategy using Bollinger Bands involves identifying price trend based on the width of Bollinger Bands. The strategy aim to buy when prices break above the upper band and sell when prices break below the lower band, capitalizing on short-term price movements. Position will be closed, when the price drop below the MA



Media Coverage

알고봇, 알고진·알고 챌린지 협회와 공동으로 알고리즘 트레이딩 대회 열어, 아시아경제, Oct 13, 2023

홍콩 기반 핀테크 스타트업 알고봇(AlgoBot), 알고진(Algogene), 그리고 비영리 단체인 알고 챌린지 협회(Algo Challenge Association)가 글로벌 알고리즘 트레이딩 대회를 주최한다고 밝혔다. 해당 대회는 한국 증시 및 크립토 시장을 중점으로 하며, 신청 마감일은 오는 31일까지다 ...

알고봇·알고진·알고 챌린지 협회, ‘글로벌 알고리즘 트레이딩 챌린지’ 공동 주관, ITBizNews, Oct 13, 2023

글로벌 알고리즘 트레이딩 분야 선도기업 알고봇(AlgoBot)이 자매회사인 알고진(Algogene), 알고 챌린지 협회(Algo Challenge Association)와 함께 한국 증시 및 크립토 시장을 대상으로 알고리즘 트레이딩 대회를 개최한다. ...

2023/24 글로벌 알고리즘 트레이딩 챌린지, 31일 참가 신청 마감, 내외경제TV, Oct 13, 2023

2023/24 글로벌 알고리즘 트레이딩 챌린지가 오는 31일 참가 신청이 마감된다 ...

알고봇, '글로벌 알고리즘 트레이딩 대회' 개최, 굿모닝경제, Oct 17, 2023

글로벌 알고리즘 트레이딩 분야 선도기업인 알고봇(AlgoBot)이 알고진(Algogene), 알고 챌린지 협회(Algo Challenge Association)와 함께 한국에서 ‘글로벌 알고리즘 트레이딩 대회’를 개최한다고 17일 밝혔다...

알고봇, 한국서 ‘글로벌 알고리즘 트레이딩 대회’ 개최, 대한금융신문, Oct 17, 2023

홍콩의 핀테크 스타트업 알고봇(AlgoBot)이 자매회사인 알고진(Algogene), 알고 챌린지 협회(Algo Challenge Association)와 함께 한국 증시 및 크립토 시장을 중심으로 알고리즘 트레이딩 대회를 주최한다 ...



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