purefe11/StockPatchTST
PatchTST-based stock ranking model trained with LambdaRank loss on KRX data. Crafted by 🍡 DungiBomi
This project helps individual and institutional traders identify potentially profitable stocks on the Korean Exchange (KRX). It takes historical stock prices, trading volumes, market indices, and other technical indicators as input. The system then outputs a daily ranking of stocks, highlighting the top 3 recommendations for short-term trading based on predicted 5-day returns.
No commits in the last 6 months.
Use this if you are an investor or trader focused on the South Korean stock market and want data-driven recommendations for daily stock selection.
Not ideal if you are looking for long-term investment strategies or a system for markets other than the KRX.
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9
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 01, 2025
Commits (30d)
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