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Published in 2020 at "Research in International Business and Finance"
DOI: 10.1016/j.ribaf.2020.101283
Abstract: Abstract In India, National Stock Exchange directly identifies algorithmic trading participation. Algorithmic traders possess intraday market timing skills. Results are not motivated by extreme short-term signals or transitory price trading. Magnitude of market timing performance…
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Keywords:
trading;
algorithmic trading;
market;
price ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3361035
Abstract: With the development of artificial intelligence, there have been many attempts to incorporate artificial intelligence into algorithmic trading. In particular, reinforcement learning, which aims to solve dynamic decision-making problems, is attracting attention because of its…
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Keywords:
stock;
robot;
algorithmic trading;
reinforcement learning ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3599677
Abstract: The majority of algorithmic trading studies rely on datasets with fixed physical time intervals, such as hourly or daily data, resulting in a discontinuous representation of time. Directional Changes (DC) is an alternative method, which…
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Keywords:
trading;
time;
algorithmic trading;
genetic programming ... See more keywords
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Published in 2025 at "Risks"
DOI: 10.3390/risks13080148
Abstract: In this paper a new state model is introduced, an adaptative state model in a binary temporal representation (ASMBRT) as well as its application in constructing an algorithmic trading system. The presented model uses the…
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Keywords:
temporal representation;
algorithmic trading;
state model;
model ... See more keywords