Results 11 to 20 of about 6,288,155 (355)
Intelligent Algorithmic Trading Strategy Using Reinforcement Learning and Directional Change
IEEE Access, 2021 Designing a profitable trading strategy plays a critical role in algorithmic trading, where the algorithm can manage and execute automated trading decisions.
Monira Essa Aloud, Nora Alkhamees
doaj +2 more sources
Flexible Decision Support System for Algorithmic Trading: Empirical Application on Crude Oil Markets
IEEE Access, 2022 Generating reliable trading signals is a challenging task for financial market professionals. This research designs a novel decision-support system (DSS) for algorithmic trading and applies it empirically on two main crude oil markets.
Cristiana Tudor, Robert Sova
doaj +2 more sources
IEEE Access, 2021 Algorithmic trading allows investors to avoid emotional and irrational trading decisions and helps them make profits using modern computer technology. In recent years, reinforcement learning has yielded promising results for algorithmic trading.
Deog-Yeong Park, Ki-Hoon Lee
doaj +2 more sources
R-DDQN: Optimizing Algorithmic Trading Strategies Using a Reward Network in a Double DQN
MathematicsAlgorithmic trading is playing an increasingly important role in the financial market, achieving more efficient trading strategies by replacing human decision-making.
Chujin Zhou +3 more
doaj +2 more sources
The Complexity of Cryptocurrencies Algorithmic Trading
Mathematics, 2022 In this research, we provided an answer to a very important trading question, what is the optimal number of technical tools in order to achieve the best trading results for both swing trade that uses daily bars and intraday trade that uses minutes bars ...
Gil Cohen, Mahmoud Qadan
doaj +2 more sources
IEEE AccessThis study investigates the integration of machine learning techniques with multi-indicator strategies in algorithmic trading to overcome the limitations of traditional trading methods.
Narongsak Sukma, Chakkrit Snae Namahoot
doaj +2 more sources
A Data Science Pipeline for Algorithmic Trading: A Comparative Study of Applications for Finance and Cryptoeconomics [PDF]
International Congress on Blockchain and Applications, 2022 Recent advances in Artificial Intelligence (AI) have made algorithmic trading play a central role in finance. However, current research and applications are disconnected information islands.
Luyao Zhang +4 more
openalex +3 more sources
Systemic failures and organizational risk management in algorithmic trading: Normal accidents and high reliability in financial markets. [PDF]
Soc Stud Sci, 2022 This article examines algorithmic trading and some key failures and risks associated with it, including so-called algorithmic ‘flash crashes’. Drawing on documentary sources, 189 interviews with market participants, and fieldwork conducted at an ...
Min BH, Borch C.
europepmc +2 more sources
SSRN Electronic Journal, 2013 This study examines the impact of corporate earnings announcements on trading activity and speed of price adjustment, analyzing algorithmic and non–algorithmic trades during the immediate period pre– and post– corporate earnings announcements. We confirm that algorithms react faster and more correctly to announcements than non–algorithmic traders ...
Alex Frino +4 more
openalex +2 more sources
Algorithm trading and its application in stock broking services [PDF]
E3S Web of Conferences, 2023 Purpose: Algorithmic trading provides a more systematic approach to active trading than methods based on trader intuition or instinct. The aim of the study is to examine the level of awareness among the brokers when integrated with technology for the ...
Vedapradha R. +5 more
doaj +1 more source