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Forecasting Bitcoin volatility spikes from whale transactions and
  CryptoQuant data using Synthesizer Transformer models

Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models

6 October 2022
Dorien Herremans
Kah Wee Low
ArXivPDFHTML

Papers citing "Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models"

4 / 4 papers shown
Title
PreBit -- A multimodal model with Twitter FinBERT embeddings for extreme
  price movement prediction of Bitcoin
PreBit -- A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin
Yanzhao Zou
Dorien Herremans
13
33
0
30 May 2022
Multi-Transformer: A New Neural Network-Based Architecture for
  Forecasting S&P Volatility
Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility
Eduardo Ramos-Pérez
P. Alonso-González
J. J. Núñez-Velázquez
39
47
0
26 Sep 2021
Architecture of Automated Crypto-Finance Agent
Architecture of Automated Crypto-Finance Agent
Ali Raheman
Anton Kolonin
B. Goertzel
Gergely Hegykozi
Ikram Ansari
AIFin
19
10
0
16 Jul 2021
Generating Lead Sheets with Affect: A Novel Conditional seq2seq
  Framework
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
D. Makris
Kat R. Agres
Dorien Herremans
57
27
0
27 Apr 2021
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