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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 movements 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 %.
Inhaltsverzeichnis:
I. Lern- und Arbeitstechniken im 1. und im 10. Semester
II. Lern- und Arbeitstechniken als persönliches Selbstmanagement
III. Diskussionsfragen und -thesen
IV. Was heißt: Eigenverantwortung im Studium?
V. Eigenverantwortung als gelebte Freiheit von Studierenden
VI. Warum es unmöglich ist, Verantwortung an Studierende zu delegieren VII. Erziehungsauftrag: Studierende in ihrer Eigenverantwortung belassen VIII. Folgerungen für Lehrende IX. Folgerungen für Studierende
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