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Android stock market application
 Balaževič, Lukáš ; Ilgner, Petr (oponent) ; Zvončák, Vojtěch (vedoucí práce)
The aim of the work is to design and implement an android application which will display parameters of cryptocurrencies, technical indicators and will predict the price based on the modern technology of machine learning. In addition to the displaying parameters, the user will be able to set up notifications. Application displays data from the Firebase database. The data are uploaded to an application from two services which run on Ubuntu server and are written in programming language Kotlin and Python. Services are in charge of obtaining and data processing. One of the services takes care of price prediction, the price is predicted using a LSTM neural network where each cryptocurrency has an own training model. The result of the work is a system that takes care of the whole lifecycle of the data from the acquisition, transformation and the presentation to the user. Based on acquired information from the application, the user is able to make statistically correct decisions in the cryptocurrency market without the need to constant market monitoring.
Úplný záznam
Android stock market application
 Balaževič, Lukáš ; Ilgner, Petr (oponent) ; Zvončák, Vojtěch (vedoucí práce)
The aim of the work is to design and implement an android application which will display parameters of cryptocurrencies, technical indicators and will predict the price based on the modern technology of machine learning. In addition to the displaying parameters, the user will be able to set up notifications. Application displays data from the Firebase database. The data are uploaded to an application from two services which run on Ubuntu server and are written in programming language Kotlin and Python. Services are in charge of obtaining and data processing. One of the services takes care of price prediction, the price is predicted using a LSTM neural network where each cryptocurrency has an own training model. The result of the work is a system that takes care of the whole lifecycle of the data from the acquisition, transformation and the presentation to the user. Based on acquired information from the application, the user is able to make statistically correct decisions in the cryptocurrency market without the need to constant market monitoring.
Úplný záznam

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