FINANCIAL TRADING TECHNOLOGICAL ADVANCEMENTS: SYSTEMATIC REVIEW

被引:0
作者
Sholoiko, A. S. [1 ]
Hou, P. A. [1 ]
机构
[1] Taras Shevchenko Natl Univ Kyiv, 90a Vasylkivska St, UA-03022 Kyiv, Ukraine
来源
SCIENCE AND INNOVATION | 2025年 / 21卷 / 03期
关键词
risk management; financial market; FinTech; artificial intelligence; algorithmic trading; machine lear-ning; deep learning;
D O I
10.15407/scine21.03.016
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction. Transformations have drastically reshaped the landscape of financial markets, making it necessary to reassess current knowledge and future trends of financial trading technologies (FTT). Problem Statement. The use of a variety of FTT requires to structure them depending on the level of machine technology and the level of trading strategy. Purpose. To investigate the technological advancements in financial trading to assess the quality of scientific research and outline promising areas for further development. Materials and Methods. By following the PRISMA 2020 standard, this systematic review covers 130 research articles (for 2013-2023) on FTT, focusing on technologies used. An innovative Four-Quadrant Theory was used to analyze the synergy between machine technology and trading strategy, which is based on 2 dimensions' total of 8 factors. Results. Key financial technologies include algorithmic trading, machine learning, and deep learning, each with unique traits: speed, automation, adaptability, and complex pattern recognition. These technologies have improved market efficiency, risk management, and personalized trading strategies. The Four-Quadrant Theory offers a structured approach to understanding the interaction between machine technology and trading strategies and divides interactions into four quadrants. Conclusions. The transformative impact of technological advancements in financial trading is evident. The main technologies have substantially improved market liquidity, trading effi ciency, and risk management practices. The Four-Quadrant Theory lets to suggests that further exploration could lead to more intelligent, diversified trading systems, with data-driven decision-making and artificial intelligence playing pivotal roles. The importance of hybrid technology, scientific assessment of performance and the cutting-edge development of autonomous intelligent trading systems for the further study of financial trading technology were underscored.
引用
收藏
页码:16 / 28
页数:13
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