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.

Fields of science

• social sciences › economics and business › economics
• natural sciences › computer and information sciences › artificial intelligence › computational intelligence

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2020 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2020

See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

TAMPEREEN KORKEAKOULUSAATIO SR

Net EU contribution

€ 190 680,96

Address

Kalevantie 4
33100 Tampere
Finland

Region

Manner-Suomi › Länsi-Suomi › Pirkanmaa

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00