AI-Infused Algorithmic Trading: Genetic Algorithms and Machine Learning in High-Frequency Trading
International Journal For Multidisciplinary Research, 2023 In this research we explore the transformative impact of Artificial Intelligence (AI) and Genetic Algorithms (GAs) in the context of algorithmic trading, with a specific focus on High-Frequency Trading (HFT). Algorithmic trading has gained prominence for
Rahul Ramesh Patil
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
doaj +1 more source
Algorithmic Trading Strategies: Real-Time Data Analytics with Machine Learning
Online (Weston, Conn.), 2023 Machine learning algorithms have emerged as potent tools for risk control in algorithmic trading, empowering traders to scrutinize vast volumes of market data, discern patterns, and make well-informed trading decisions.
Munivel Devan +2 more
semanticscholar +1 more source
An Application of Deep Reinforcement Learning to Algorithmic Trading [PDF]
Expert systems with applications, 2020 This scientific research paper presents an innovative approach based on deep reinforcement learning (DRL) to solve the algorithmic trading problem of determining the optimal trading position at any point in time during a trading activity in stock markets.
Thibaut Théate, D. Ernst
semanticscholar +1 more source
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
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
doaj +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
core +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
doaj +2 more sources
Technology-driven advancements: Mapping the landscape of algorithmic trading literature
Technological Forecasting and Social ChangeAlexandra Horobeţ +4 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