Workshop and Competition for Developers and a Chance of Cash Prizes Valued at $100,000

Kaggle is calling everyone who has a knack for financial datasets and a passion for data and computer science for participation in a competition with an active training phase. In this competition, you’ll build a model that forecasts an investment's return rate. If successful, you could improve the ability of quantitative researchers to forecast returns. This will enable investors at any scale to make better decisions. This will open up a world of new opportunities in many industries, and you get an amazing cash prize.

If you win this competition, you will have one of the following prizes:

• 1st Place: $40,000
• 2nd Place: $20,000
• 3rd Place: $10,000
• 4th Place: $5,000
• 5th Place: $5,000
• 6th Place: $5,000
• 7th Place: $5,000
• 8th Place: $3,500
• 9th Place: $3,500
• 10th Place: $3,000

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You should follow the following criteria:

• The maximum team size is 5.
• Team mergers are allowed and the combined team must have a total submission count less than or equal to the maximum allowed. 
• You may submit a maximum of 5 entries per day.
• You may select up to 2 final submissions for judging.
• Competition are open to residents of the United States and worldwide, except that if you are a resident of a country subject to U.S. export controls or sanctions.
• You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.
• Privately sharing code or data outside of teams is not permitted.
• You must accept the competition rules before this date in order to compete.

Competition Timeline:

This is a competition with an active training phase and a second period where models will be run against real market data.

• January 18, 2022: Start Date.
• April 11, 2022: Entry Deadline. 
• April 11, 2022: Team Merger Deadline. 
• April 18, 2022: Final Submission Deadline.
• July 18th, 2022: Competition End Date.

About Kaggle:

Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. It got its start in 2010 by offering machine learning competitions and now also offers a public data platform, a cloud-based workbench for data science, and Artificial Intelligence education. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

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