Using Transformers and Deep Learning with Stance Detection to Forecast Cryptocurrency Price Movement-Reference-Cited by-同舟云学术

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Using Transformers and Deep Learning with Stance Detection to Forecast Cryptocurrency Price Movement

Published:2022-10-19 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
language:
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Author:

Son Yeonwoo¹,Vohra Soham²,Vakkalagadda Rohit²,Zhu Michael³,Hirde Aadvait⁴,Kumar Saurav⁵,Rajaram Arjun⁶

Affiliation:

1. Cupertino High School,Cupertino,USA

2. Bellarmine College Preparatory,San Jose,USA

3. Dulles High School,Houston,USA

4. Delhi Private School,Dubai,UAE

5. University of Illinois Urbana-Champaign,San Francisco,USA

6. University of Maryland,San Jose,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9952188/9952355/09953018.pdf?arnumber=9953018

Reference34 articles.

1. A Multimodal Model with Twitter Finbert Embeddings for Extreme Price Movement Prediction of Bitcoin

2. Multi-Head Self-Attention Transformer for Dogecoin Price Prediction

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Empowering global ethereum price prediction with EtherVoyant: a state-of-the-art time series forecasting model;Neural Computing and Applications;2024-08-27

2. UNSURE - A machine learning approach to cryptocurrency trading;Applied Intelligence;2024-04

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