https://github.com/hfrost0/tgc_torch
A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"
https://github.com/hfrost0/tgc_torch
implementation pytorch stock-price-prediction
Last synced: about 1 year ago
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A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"
- Host: GitHub
- URL: https://github.com/hfrost0/tgc_torch
- Owner: HFrost0
- Created: 2020-06-11T14:24:13.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2022-04-13T02:57:50.000Z (about 4 years ago)
- Last Synced: 2025-03-24T11:44:56.562Z (about 1 year ago)
- Topics: implementation, pytorch, stock-price-prediction
- Language: Python
- Homepage: https://arxiv.org/pdf/1809.09441.pdf
- Size: 26.9 MB
- Stars: 44
- Watchers: 1
- Forks: 7
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# TGC_torch
A Pytorch implementation of the paper [Temporal Relational Ranking for Stock Prediction](https://arxiv.org/abs/1809.09441).
The officical tensorflow implementation is [here](https://github.com/fulifeng/Temporal_Relational_Stock_Ranking)
# requirements
Python>=3.6 and torch>=1.3
# Run the code
Once you download the data that provided by [link](https://github.com/fulifeng/Temporal_Relational_Stock_Ranking), put the files to the ```data``` folder, and then run the ```train.py``` to train a RelationLSTM using TGC.