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Predicting hourly bitcoin prices based on long short-term memory neural networks (2021)
Maximilian Schulte ; Mathias Eggert
Bitcoin is a cryptocurrency and is considered a high-risk asset class whose price changes are difficult to predict. Current research focusses on daily price movements with a limited number of predictors. The paper at hand aims at identifying measurable indicators for Bitcoin price movement s and the development of a suitable forecasting model for hourly changes. The paper provides three research contributions. First, a set of significant indicators for predicting the Bitcoin price is identified. Second, the results of a trained Long Short-term Memory (LSTM) neural network that predicts price changes on an hourly basis is presented and compared with other algorithms. Third, the results foster discussions of the applicability of neural nets for stock price predictions. In total, 47 input features for a period of over 10 months could be retrieved to train a neural net that predicts the Bitcoin price movements with an error rate of 3.52 %.
How Experts Adapt Their Gaze Behavior When Modeling a Task to Novices (2020)
Christian Drumm ; Selina N. Emhardt ; Ellen M. Kok ; Halzka Jarodzka ; Saskia Brand-Gruwel ; Tamara van Gog
Gamified Information Systems for Assisted Living Facilities - Relevant Design Guidelines, Affordances and Adoption Barriers (2020)
Mathias Eggert ; Thomas Rudolf Edelbauer
Introducing eye movement modeling examples for programming education and the role of teacher's didactic guidance (2020)
Selina Emhardt ; Halszka Jarodzka ; Saskia Brand-Gruwel ; Christian Drumm ; Tamara van Gog
Adoption of Integrated Voice Assistants in Health Care– Requirements and Design Guidelines (2020)
Mathias Eggert ; Max-Alexander Stanke
Frontiers of business intelligence and analytics 3.0: a taxonomy-based literature review and research agenda (2020)
Mathias Eggert ; Jens Alberts
Vernachlässigung des unionsrechtlichen Anerkennungsprinzips durch den BGH (2019)
Kathrin Kroll-Ludwigs
Augmenting voice of the customer analysis by analysis of belief (2015)
Wolfram Pietsch
Kommentierung zu den §§ 24 - 27 (2020)
Michael Timme
Through the eyes of a programmer : a research project on how to foster programming education with eye-tracking technology (2019)
Selina Ernhardt ; Christian Drumm ; Tamara van Gog ; Saskia Brand-Gruwel ; Halszka Jarodzka
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