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Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data.

P. Nousi, A. Tsantekidis, N. Passalis, A. Ntakaris, J. Kanniainen, A. Tefas, M. Gabbouj, and A. Iosifidis. IEEE Access, (2019)

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Avraam Chatzivasileiou

Avraam Kalogeridis

Avraam Tapinos

Avraam Drakopoulos

Avraam Mastorakis

Other publications of authors with the same name

Using Deep Learning for price prediction by exploiting stationary limit order book features.A. Tsantekidis, N. Passalis, A. Tefas, J. Kanniainen, M. Gabbouj, and A. Iosifidis. CoRR, (2018)Time-series classification using neural Bag-of-Features.N. Passalis, A. Tsantekidis, A. Tefas, J. Kanniainen, M. Gabbouj, and A. Iosifidis. EUSIPCO, page 301-305. IEEE, (2017)Using Deep Learning for price prediction by exploiting stationary limit order book features.A. Tsantekidis, N. Passalis, A. Tefas, J. Kanniainen, M. Gabbouj, and A. Iosifidis. Appl. Soft Comput., (2020)Price Trailing for Financial Trading Using Deep Reinforcement Learning.A. Tsantekidis, N. Passalis, A. Toufa, K. Zarkias, S. Chairistanidis, and A. Tefas. IEEE Trans. Neural Networks Learn. Syst., 32 (7): 2837-2846 (2021)Modeling limit order trading with a continuous action policy for deep reinforcement learning.A. Tsantekidis, N. Passalis, and A. Tefas. Neural Networks, (August 2023)Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning.N. Passalis, L. Avramelou, S. Seficha, A. Tsantekidis, S. Doropoulos, G. Makris, and A. Tefas. Neural Comput. Appl., 34 (22): 19441-19452 (2022)Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data.P. Nousi, A. Tsantekidis, N. Passalis, A. Ntakaris, J. Kanniainen, A. Tefas, M. Gabbouj, and A. Iosifidis. IEEE Access, (2019)Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation.A. Tsantekidis, N. Passalis, and A. Tefas. MLSP, page 1-6. IEEE, (2020)Using deep learning to detect price change indications in financial markets.A. Tsantekidis, N. Passalis, A. Tefas, J. Kanniainen, M. Gabbouj, and A. Iosifidis. EUSIPCO, page 2511-2515. IEEE, (2017)Deep adaptive group-based input normalization for financial trading.A. Nalmpantis, N. Passalis, A. Tsantekidis, and A. Tefas. Pattern Recognit. Lett., (2021)

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Disambiguation of "Tsantekidis, Avraam"

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Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data.

Please choose a person to relate this publication to

Avraam Chatzivasileiou

Avraam Kalogeridis

Avraam Tapinos

Avraam Drakopoulos

Avraam Mastorakis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tsantekidis, Avraam"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data.

Please choose a person to relate this publication to

Avraam Chatzivasileiou

Avraam Kalogeridis

Avraam Tapinos

Avraam Drakopoulos

Avraam Mastorakis

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data.