Algo-Powered Banking: Enhancing Investment Decisions Through Machine Learning

被引:0
|
作者
Gaikwad, Sanika [1 ]
Gupta, Tanish [1 ]
Singh, Adityapratap [1 ]
Jaiswal, R. C. [1 ]
机构
[1] Pune Inst Comp Technol, Pune 411043, India
关键词
Algo-powered banking; Machine learning (ML); Algorithmic trading (AT); Investment; Predictive analytics;
D O I
10.1007/978-981-97-1320-2_11
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Algo-Powered Banking revolutionizes the finance and investment landscape by seamlessly blending machine learning (ML) and algorithmic trading (AT). In a rapidly changing financial world, traditional strategies often fall short. This project addresses this by harnessing ML's power to analyze vast financial data, predict market trends, and offer timely insights. It combines this with AT to automate trading, sidestepping emotional biases. The platform offers personalized investment recommendations, real-time market monitoring, risk assessment tools, and customizable trading strategies through user-friendly interfaces. Its innovation lies in fusing ML-driven predictive analytics and algorithmic trading, aiming to enhance investment outcomes, portfolio performance, and user confidence in financial markets.
引用
收藏
页码:127 / 136
页数:10
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