Online high-frequency trading stock forecasting with automated feature clustering and radial basis function neural networks

Adam Ntakaris; Gbenga Ibikunle

Online high-frequency trading stock forecasting with automated feature clustering and radial basis function neural networks

Research output: Contribution to conference › Paper

Original language	English
Publication status	Published - 21 Jun 2023
Event	Economics of Financial Technology Conference - Edinburgh, United Kingdom Duration: 21 Jun 2023 → 23 Jun 2023 https://www.eftconference.business-school.ed.ac.uk/?_gl=11qcr2gd_gaODY1OTgxMTI5LjE2NzM2MjM4MDY._ga_B2QS9LC4J5*MTY4NTcxODUxNi4xMi4xLjE2ODU3MTk1MjEuNjAuMC4w

Conference

Conference	Economics of Financial Technology Conference
Country/Territory	United Kingdom
City	Edinburgh
Period	21/06/23 → 23/06/23
Internet address	https://www.eftconference.business-school.ed.ac.uk/?_gl=11qcr2gd_gaODY1OTgxMTI5LjE2NzM2MjM4MDY._ga_B2QS9LC4J5*MTY4NTcxODUxNi4xMi4xLjE2ODU3MTk1MjEuNjAuMC4w

Cite this

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title = "Online high-frequency trading stock forecasting with automated feature clustering and radial basis function neural networks",

author = "Adam Ntakaris and Gbenga Ibikunle",

year = "2023",

month = jun,

day = "21",

language = "English",

note = "Economics of Financial Technology Conference ; Conference date: 21-06-2023 Through 23-06-2023",

url = "https://www.eftconference.business-school.ed.ac.uk/?_gl=1*1qcr2gd*_ga*ODY1OTgxMTI5LjE2NzM2MjM4MDY.*_ga_B2QS9LC4J5*MTY4NTcxODUxNi4xMi4xLjE2ODU3MTk1MjEuNjAuMC4w",

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TY - CONF

T1 - Online high-frequency trading stock forecasting with automated feature clustering and radial basis function neural networks

AU - Ntakaris, Adam

AU - Ibikunle, Gbenga

PY - 2023/6/21

Y1 - 2023/6/21

UR - https://www.eftconference.business-school.ed.ac.uk/

M3 - Paper

T2 - Economics of Financial Technology Conference

Y2 - 21 June 2023 through 23 June 2023

ER -

Online high-frequency trading stock forecasting with automated feature clustering and radial basis function neural networks

Conference

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Cite this