Thank you for participating in HAAFOR Challenge 2020!
We hope you had enjoyed the challenge.
Due:31 Aug 2020
HAAFOR Challenge is annual event through which we seek to expose participants to various areas such as applied/financial math, computational science, machine-learning and artificial intelligence that we utilize in quantitative trading.
This year challenge’s task is finding the chronological order of articles. 200,000 pairs of articles will be provided as a training dataset, and we encourage participants to analyze the context of articles to find the chronological order of articles.
Evaluation day will be 22 August 2020 9AM SGT/ 10AM SGT. We will provide 100,000 pairs of articles , and you are supposed to submit the your answer within 3 hours.
If you would like to participate in HAAFOR Challenge 2020, please send your application form (attached) to email@example.com.
Due:19 Aug 2020
06 July ~ 19 August 2020
Annoucement:End of August 2020
WINNERS OF HAAFOR CHALLENGE 2019
Due:04 Jan 2020
Submission:Late submissions will be considered with some discounts
Annoucement:Announcement will be in January 2020
Thank you for participating in Haafor Challenge 2018!
The results on this post are final with F-source. We hope you had enjoyed the challenge.
Chanmin Jun/ Jay Choi
|Doan Xuan Dung||0.5436|
Due:26 Oct 2018
Annoucement:Winners will be contacted via email
HAAFOR Challenge is annual event through which we seek to expose participants to various areas such as applied/financial math, computational science, machine-learning and artificial intelligence that we utilize in quantitative trading. This year’s challenge will focus on natural language processing (NLP). NLP is an important research area in HAAFOR as many sources of information relevant to financial predictions exists in unstructured format, e.g news and financial reports. Research and development of NLP techniques allow us to tap into these valuable data and utilize them to generate diversified sources of returns.
This year’s challenge task is named entity recognition (NER). While general purpose NER is more or less a solved problem, recognizing company names in financial texts poses higher difficulty, due to heterogeneity in the structure of their names. For example, Apple Inc (Cupertino-based iPhone maker) may show up in many different forms as ‘Apple’, ‘Apple Computers’, ‘Apple Computer, Inc’, ‘Apple Inc’, ‘Apple (Singapore)’, Apple (Korea). We would like participants to design and implement an algorithm to identify mentions of certain companies in the corpus provided. Along with the corpus, participants will be provided with a mapping of relevant CompanyID, OfficialName in which
Given the above mapping and the corpus, the algorithm should parse each article and return the CompanyIDs of all relevant companies mentioned in the article. An evaluation corpus containing 100K articles will be provided, for which participants will label using the algorithm they have implemented. Please see attachment for the details. If you would like to participate in HAAFOR Challenge 2018, please send your application form(attached) to firstname.lastname@example.org
Winners will be selected based on the evaluation method above. Selected winners will be awarded with prizes as below.
In addition, winners and top-ranking participants will be invited for job interviews at our Singapore or Korea office.
20th July 2018
Due:23 Sep 2018
Submission:Please email the answer file to email@example.com with subject - [Challenge] Both Individual/Team submission are available. Please kindly include all the team members’ names for team submission.
Annoucement:Announcement will be in October 2018
Thank you for participating in HAAFOR challenge!
We are particularly impressed with all of the thoughtful scripts submissions.
The results on this post are now final with first three characters of your email.
|CARS||TICS||CARS / TICS|
Due:31 Jul 2017
Annoucement:Winners will be contacted via email by 31st July 2017
HAAFOR Challenge 2017 gives a rare opportunity to learn about computational science and applied/financial math. The challenge problem would be an example of various problems that should be resolved to make good Prediction Models in quantitative trading. For the best two challengers(winners), 12.9-inch iPad Pro(256GiB) will be awarded. We encourage anyone interested to participate. Winners or high rankers will be invited to special interview sessions by HAAFOR executives for quantitative researcher positions at HAAFOR group.
Note: There was a typo in the previous version of the Challenge Question PDF – the answer of the example was incorrect and is now fixed.
Due:15 Jul 2017
Submission:Please email your source code and the answer file to firstname.lastname@example.org with subject – [Challenge]
Annoucement:Winners will be contacted via email by 31st July 2017.