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New, realistic and robust models for cryptocurrency volatility

Project description

Forecasting cryptocurrency value by measuring sentiment

It is difficult to forecast the cryptocurrency market. Unlike stocks and foreign exchange rates, which are influenced by economic indicators, cryptocurrency prices are driven by sentiments. The EU-funded CryptoVolatility project will explore new ways to forecast cryptocurrency volatility. Specifically, it will build a machine that produces discrete sentiment phases each day using news articles and internet search data. Using artificial neural networks to measure sentiments, this tool is expected to assist regulators and investors learn more about cryptocurrency volatility. In the long-term, this new tool will also make it possible to design policies to help overcome financial crises.


Net EU contribution
€ 190 680,96
Kalevantie 4
33100 Tampere

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Manner-Suomi Länsi-Suomi Pirkanmaa
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00