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Learn about the winning approach by Team BiaoLong and the key techniques they used in JPX Tokyo Stock Exchange Prediction competition. This competition tasked participants with building a programmatic investment model to predict stock returns within the Japanese financial market. Participants addressed the technical challenges of ranking approximately 2,000 stocks based on expected returns, navigating historical and real-time data to optimize portfolio performance. By refining quantitative trading strategies, the challenge sought to compare predictive models against real future returns and improve the accuracy of large-scale portfolio analysis. 👉 Competition: https://www.kaggle.com/competitions/j... 🏆 Leaderboard: https://www.kaggle.com/competitions/j... About Kaggle: Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help. Follow Kaggle online 🌐 Visit the WEBSITE: https://www.kaggle.com ✍️ Check out our BLOG: https://www.kaggle.com/blog 🐦 Follow Kaggle on TWITTER: / kaggle 🔗 Connect with us on LINKEDIN: / kaggle 🎮 Join us on the Kaggle Discord server: / discord 🎥 Subscribe to our YouTube channel: / @kaggle #Kaggle #DataScience #MachineLearning