THE POTENTIAL FOR REAL-TIME TESTING OF HIGH-FREQUENCY TRADING STRATEGIES THROUGH A DEVELOPED TOOL DURING VOLATILE MARKET CONDITIONS

This study presents a method for testing high-frequency trading (HFT) for algorithms on GPUs using kernel parallelization, code vectorization, and multidimensional matrices. The research evaluates HFT strategies within algorithmic cryptocurrency trading in volatile market conditions, particularly du...

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Main Authors: Mantas VAITONIS, Konstantinas KOROVKINAS
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2023-06-01
Series:Applied Computer Science
Subjects:
Online Access:http://www.acs.pollub.pl/index.php?option=com_content&view=article&id=566:the-potential-for-real-time-testing-of-high-frequency-trading-strategies-through-a-developed-tool-during-volatile-market-conditions&catid=97:vol-19-no-22023&Itemid=171
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author Mantas VAITONIS
Konstantinas KOROVKINAS
author_facet Mantas VAITONIS
Konstantinas KOROVKINAS
author_sort Mantas VAITONIS
collection DOAJ
description This study presents a method for testing high-frequency trading (HFT) for algorithms on GPUs using kernel parallelization, code vectorization, and multidimensional matrices. The research evaluates HFT strategies within algorithmic cryptocurrency trading in volatile market conditions, particularly during the COVID-19 pandemic. The study's objective is to provide an efficient and comprehensive approach to assessing the efficiency and profitability of HFT strategies. The results show that the method effectively evaluates the efficiency and profitability of HFT strategies, as demonstrated by the Sharp ratio of 2.29 and the Sortino ratio of 2.88. The authors suggest that further study on HFT testing methods could be conducted using a tool that directly connects to electronic marketplaces, enabling real-time receipt of high-frequency trading data and simulation of trade decisions. Finally, the study introduces a novel method for testing HFT algorithms on GPUs, offering promising results in assessing the efficiency and profitability of HFT strategies during volatile market conditions.
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spelling doaj.art-08560016e6064b019fc25da0f07c02652023-07-12T05:36:57ZengPolish Association for Knowledge PromotionApplied Computer Science1895-37352353-69772023-06-01192638110.35784/acs-2023-15THE POTENTIAL FOR REAL-TIME TESTING OF HIGH-FREQUENCY TRADING STRATEGIES THROUGH A DEVELOPED TOOL DURING VOLATILE MARKET CONDITIONSMantas VAITONIS 0https://orcid.org/0000-0002-3760-6343Konstantinas KOROVKINAS 1https://orcid.org/0000-0001-6111-3277Vilnius University, Kaunas Faculty, Institute of Social Sciences and Applied Informatics, mantas.vaitonis@knf.vu.ltVilnius University, Kaunas Faculty, Institute of Social Sciences and Applied Informatics, konstantinas.korovkinas@knf.vu.ltThis study presents a method for testing high-frequency trading (HFT) for algorithms on GPUs using kernel parallelization, code vectorization, and multidimensional matrices. The research evaluates HFT strategies within algorithmic cryptocurrency trading in volatile market conditions, particularly during the COVID-19 pandemic. The study's objective is to provide an efficient and comprehensive approach to assessing the efficiency and profitability of HFT strategies. The results show that the method effectively evaluates the efficiency and profitability of HFT strategies, as demonstrated by the Sharp ratio of 2.29 and the Sortino ratio of 2.88. The authors suggest that further study on HFT testing methods could be conducted using a tool that directly connects to electronic marketplaces, enabling real-time receipt of high-frequency trading data and simulation of trade decisions. Finally, the study introduces a novel method for testing HFT algorithms on GPUs, offering promising results in assessing the efficiency and profitability of HFT strategies during volatile market conditions. http://www.acs.pollub.pl/index.php?option=com_content&view=article&id=566:the-potential-for-real-time-testing-of-high-frequency-trading-strategies-through-a-developed-tool-during-volatile-market-conditions&catid=97:vol-19-no-22023&Itemid=171high frequency tradingcryptocurrenciesalgorithmic tradingmultidimensional matricesparallelizationsimulation
spellingShingle Mantas VAITONIS
Konstantinas KOROVKINAS
THE POTENTIAL FOR REAL-TIME TESTING OF HIGH-FREQUENCY TRADING STRATEGIES THROUGH A DEVELOPED TOOL DURING VOLATILE MARKET CONDITIONS
Applied Computer Science
high frequency trading
cryptocurrencies
algorithmic trading
multidimensional matrices
parallelization
simulation
title THE POTENTIAL FOR REAL-TIME TESTING OF HIGH-FREQUENCY TRADING STRATEGIES THROUGH A DEVELOPED TOOL DURING VOLATILE MARKET CONDITIONS
title_full THE POTENTIAL FOR REAL-TIME TESTING OF HIGH-FREQUENCY TRADING STRATEGIES THROUGH A DEVELOPED TOOL DURING VOLATILE MARKET CONDITIONS
title_fullStr THE POTENTIAL FOR REAL-TIME TESTING OF HIGH-FREQUENCY TRADING STRATEGIES THROUGH A DEVELOPED TOOL DURING VOLATILE MARKET CONDITIONS
title_full_unstemmed THE POTENTIAL FOR REAL-TIME TESTING OF HIGH-FREQUENCY TRADING STRATEGIES THROUGH A DEVELOPED TOOL DURING VOLATILE MARKET CONDITIONS
title_short THE POTENTIAL FOR REAL-TIME TESTING OF HIGH-FREQUENCY TRADING STRATEGIES THROUGH A DEVELOPED TOOL DURING VOLATILE MARKET CONDITIONS
title_sort potential for real time testing of high frequency trading strategies through a developed tool during volatile market conditions
topic high frequency trading
cryptocurrencies
algorithmic trading
multidimensional matrices
parallelization
simulation
url http://www.acs.pollub.pl/index.php?option=com_content&view=article&id=566:the-potential-for-real-time-testing-of-high-frequency-trading-strategies-through-a-developed-tool-during-volatile-market-conditions&catid=97:vol-19-no-22023&Itemid=171
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