🛠 Contribute: Found a typo? Or any other change in the description that you would like to see? Please consider sending us a pull request in the public repo of the challenge here.

🕵️ Introduction

Ability to predict the future can be really valuable. But since we don’t have Doc and his DeLorean time machine from Back to the Future, we have to rely on other means to know the future. Using time-series prediction can you find the future of these synthetic stock prices. Given the prices of the stock for the past, predict its value in the future.

Understand with code! Here is getting started code for you.😄

💾 Dataset

The dataset contains stock prices from date 1985-01-29 to 2010-03-25 in train.csv and 2010-03-26 to 2013-06-21 in val set leaving the weekend i.e, Saturday and Sunday. One needs to predict the stock prices from 2013-06-24 to 2021-01-13 of the weekdays. The exacts are present in sample_submission.csv.

📁 Files

Following files are available in the resources section:

• train.csv - (6345 samples) This training csv file contains the date and the values.

• val.csv - (817 samples) This validation csv file contains the date and the values.

• sample_submission.csv - (1905 samples) File that will be used for actual evaluation for the leaderboard score but does not have the values.

🚀 Submission

• Prepare a CSV containing the date in the same order with header as date as in sample_submisison.csv and its predicted value in column with header as value.
• Sample submission format available at sample_submission.csv in the resorces section.

Make your first submission here 🚀 !!

🖊 Evaluation Criteria

During evaluation Mean Squared Error will be used to test the efficiency of the model where,

🔗 Links

• 💪 Challenge Page: https://www.aicrowd.com/challenges/timser
• 🗣️ Discussion Forum: https://www.aicrowd.com/challenges/timser/discussion
• 🏆 Leaderboard: https://www.aicrowd.com/challenges/timser/leaderboards

📱 Contact

• Shubhamai