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stock-top-papers
deep-learning

stock-top-papers

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

by marcuswang6 · GitHub
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deep-learningpaper-code-datasetpaper-collectionApache-2.0
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Explore a collection of important research papers related to stock price prediction and quantitative trading.

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2026-07-202026-08-31
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Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

stock-top-papers has 470 stars on GitHub. It has been forked 51 times. It has been in active development since 2023. stock-top-papers is available under the Apache-2.0 license. Its main topics are deep-learning, paper-code-dataset, paper-collection, quantitative-trading.

Frequently asked questions

What is stock-top-papers?

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

Is stock-top-papers open source?

stock-top-papers is an open-source project. It is released under the Apache-2.0 license.

Is stock-top-papers free?

Yes. stock-top-papers is free and open source — you can use, modify and self-host it.

What license does stock-top-papers use?

stock-top-papers is available under the Apache-2.0 license.

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