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Data-Driven Agent-Based Models of Investors with Machine Learning

Project description

Can a robot be trained as a stock trader?

Machine learning has spurred advancement in numerous fields as diverse as image recognition and self-driving cars. The EU-funded DataABM project wants to step up this potential by training a computer to simulate investor behaviour in the stock market. To do this, researchers will create an Agent-Based Model (ABM) that will be trained by machine learning on a large investor data set. The model could improve understanding about the investor decision-making process as well as provide a tool to better predict and simulate stock market fluctuations. This could aid regulators and policymakers in estimating the impact of economic measures in the future.

Coordinator

TAMPEREEN KORKEAKOULUSAATIO SR
Net EU contribution
€ 215 534,40
Address
Kalevantie 4
33100 Tampere
Finland

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Region
Manner-Suomi Länsi-Suomi Pirkanmaa
Activity type
Higher or Secondary Education Establishments
Other funding
No data

Partners (1)

AARHUS UNIVERSITET
Denmark
Net EU contribution
No data
Address
Nordre Ringgade 1
8000 Aarhus C

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Region
Danmark Midtjylland Østjylland
Activity type
Higher or Secondary Education Establishments
Other funding
No data