Algorithmic Trading: Financial Markets Using Artificial Intelligence

Title

Algorithmic Trading: Financial Markets Using Artificial Intelligence

Creator

Chanda S.; Chib S.; Bose S.S.; Lakshmi S.R.; Zabiullah B.I.; Samal A.

Description

This research study gives an in - depth view of the recent developments in the fields of Machine Learning (ML) and Reinforced Learning (RL) techniques as they are related to various models for forecasting and systems for financial trading. The practical usage of deep learning models, that incorporates Neural Networks such as Recurrent, Convolutional along with hybrid models integrating genetic algorithms with LSTM networks, for forecasting the stock market patterns as well as bank failures, and fluctuations in exchange rate which is addressed in this study in an in - depth review analysis of the latest literature. In addition to this it also investigates how trading algorithm performance as well as risk management can be enhanced by applying techniques of deep reinforcement learning. This study also demonstrates the enhanced, efficacy, precision and the profitability achieved by using these artificial intelligence methods as compared with conventional economic modelling and detailed technical study models by analysing a number of stock markets and different kinds of assets. 2024 IEEE.

Source

Proceedings of International Conference on Communication, Computer Sciences and Engineering, IC3SE 2024, pp. 806-809.

Date

2024-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial Intelligence; Financial Market; Machine Learning; Market Trends; Stock Marketing

Coverage

Chanda S., Datta Meghe Institute Of Management Studies, Madhya Pradesh, Nagpur, India; Chib S., Datta Meghe Institute Of Management Studies, Madhya Pradesh, Nagpur, India; Bose S.S., Amity Business School, Amity University, Chhattisgarh, Raipur, India; Lakshmi S.R., Business & Management, Christ University, Nagasandra, Karnataka, Bangalore, India; Zabiullah B.I., School Of Management, Cmr University, Karnataka, Bangalore, India; Samal A., Sri Venkateshwara College Of Engineering, Department Of Mba, Karnataka, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 979-835036684-6

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/IC3SE62002.2024.10593357

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