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Problems and prospects of algorithmic trade in financial markets
Путеводитель предпринимателя, 2020 The use of algorithms in trading (algorithmic trading) is the trend of recent decades, which has largely changed the market. As part of the research, the fundamentals of algorithmic trading, it’s possible application during exchange trading, were ...
B. V. Batiuk
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Does Algorithmic Trading Improve Liquidity? [PDF]
The Journal of Finance, 2011 ABSTRACTAlgorithmic trading (AT) has increased sharply over the past decade. Does it improve market quality, and should it be encouraged? We provide the first analysis of this question. The New York Stock Exchange automated quote dissemination in 2003, and we use this change in market structure that increases AT as an exogenous instrument to measure ...
Hendershott, Terrence +2 more
openaire +4 more sources
Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies
Mathematics, 2022 Artificial Intelligence (AI) has been recently recognized as an essential aid for human traders. The advantages of the AI systems over human traders are that they can analyze an extensive data set from different sources in a fraction of a second and ...
Gil Cohen
semanticscholar +1 more source
Additional Limit Conditions for Breakout Trading Strategies [PDF]
Informatică economică, 2019 One of the most popular trading methods used in financial markets is the Turtle strategy. Long time passed since the middle of 1983 when Richard Dennis and Bill Eckhardt disputed about whether great traders were born or made.
Cristian PAUNA
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International Journal of Scientific Research and Modern TechnologyThe rapid integration of Artificial Intelligence (AI) into algorithmic trading systems has transformed financial markets, enabling faster, data-driven decision-making and the automation of complex trading strategies.
Uchenna Obiageli Ogbuonyalu +5 more
openalex +3 more sources
Mathematics, 2022 Algorithmic trading is a common topic researched in the neural network due to the abundance of data available. It is a phenomenon where an approximately linear relationship exists between two or more independent variables.
Jireh Yi-Le Chan +7 more
semanticscholar +1 more source
Analysis of binary trading patterns in Xetra [PDF]
, 2010 This paper proposes the Shannon entropy as an appropriate one-dimensional measure of behavioural trading patterns in financial markets. The concept is applied to the illustrative example of algorithmic vs.
Maurer, Kai-Oliver, Schäfer, Carsten
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Paired Trading Strategy Optimization Using the Reinforcement Learning Method: Intraday Data of Tehran Stock Exchange [PDF]
تحقیقات مالی, 2019 Objective: Paired trading is among the most well-known and oldest algorithmic trading systems. The efficiency and profitability of this system have been demonstrated in many studies conducted so far in financial markets.
Saeid Fallahpour, Hasan Hakimian
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Judgment Day: Algorithmic Trading Around the Swiss Franc Cap Removal
Social Science Research Network, 2022 A key issue for decentralised markets like FX is how the market responds to extreme situations. Using data on FX transactions with a precise identi fi cation of Algorithmic trading (AT)
Francis Breedon +3 more
semanticscholar +1 more source
Algorithmic Finance and (Limits to) Governmentality: On Foucault and High-Frequency Trading
Genealogy+Critique, 2017 In this essay I discuss algorithmic finance, specifically the use of fully automated trading, including high-frequency trading, in the light of Michel Foucault's notion of governmentality.
Christian Borch
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