SSRNCrypto & DeFi
Deep Learning for High-Frequency Cryptocurrency Trend Detection: Incorporating Technical Indicators and A New Approach For Data Stationarity
The research presents a new data preprocessing technique and a Convolutional Neural Networks (CNN) model for predicting Bitcoin market trends using 15-minute candlestick data.
Featured in No. 45 on 17 Apr 2024 · 1 day after release · 1 citation today
- Released
- 16 Apr 2024
- First featured
- No. 45 · 17 Apr 2024
- Citations (Semantic Scholar)
- 1
- Influential citations
- 0
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 2
- Identifier
- SSRN 4796336
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).