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GitHub / Waterkin / stock-top-papers

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

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Waterkin%2Fstock-top-papers

Stars: 89
Forks: 11
Open Issues: 0

License: apache-2.0
Language:
Repo Size: 17.6 KB
Dependencies: 0

Created: 9 months ago
Updated: about 1 month ago
Last pushed: 5 months ago
Last synced: about 1 month ago

Commit Stats

Commits: 10
Authors: 1
Mean commits per author: 10.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Waterkin/stock-top-papers

Topics: deep-learning, paper-code-dataset, paper-collection, quantitative-trading, reinforcement-learning, stock-price-prediction, stock-trading

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