Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies
Financial industry is a prime target for Artificial Intelligence (AI) driven solutions, opening up avenues of predictive. Nevertheless, hurdles around model transparency, compatibility with legacy financial systems, and the high bar of computational resources persist as major pieces of resistance. T...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | ITM Web of Conferences |
| Subjects: | |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_01007.pdf |
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| _version_ | 1850272140107972608 |
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| author | Basha Shaik Asif Zia Amir B Kirankumar S Chandra Sekhar S Sumithra R Monisha Jothi |
| author_facet | Basha Shaik Asif Zia Amir B Kirankumar S Chandra Sekhar S Sumithra R Monisha Jothi |
| author_sort | Basha Shaik Asif |
| collection | DOAJ |
| description | Financial industry is a prime target for Artificial Intelligence (AI) driven solutions, opening up avenues of predictive. Nevertheless, hurdles around model transparency, compatibility with legacy financial systems, and the high bar of computational resources persist as major pieces of resistance. Therefore, this research is focused on establishing new AI-based models to tackle this problem in predictive models, risk management strategies in financial trading domain. Through computational efficiency enhancement, explainable AI methodologies application, along with Path-independent adaptation to diverse asset classes, this model aims to formulate richer, ambient, and inclusive AI environments for the benefit of sustainability. Moreover, the study examines hybrid AI-based models that integrate private and public blockchains to enhance transaction throughput, scalability, and data privacy. The idea is to make financial systems more stable, accessible, and effective while minimizing environmental impact via energy-efficient consensus mechanisms. |
| format | Article |
| id | doaj-art-50cd6758e2db4e54a17039286e64e0d2 |
| institution | OA Journals |
| issn | 2271-2097 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-50cd6758e2db4e54a17039286e64e0d22025-08-20T01:51:57ZengEDP SciencesITM Web of Conferences2271-20972025-01-01760100710.1051/itmconf/20257601007itmconf_icsice2025_01007Artificial Intelligence in Financial Trading Predictive Models and Risk Management StrategiesBasha Shaik Asif0Zia Amir1B Kirankumar2S Chandra Sekhar3S Sumithra4R Monisha Jothi5Masters in Computer Applications, Alinma Esnad, Senior Business ConsultantAssistant Professor, Department of Business Tashkent Metropolitan UniversityAssistant Professor, Department of Information Technology, CVR college of engineeringAssistant Professor, Department of Management, Brainware UniversityProfessor, Department of ECE, J.J. College of Engineering and TechnologyAssistant Professor, Department of CSE, New Prince Shri Bhavani College of Engineering and TechnologyFinancial industry is a prime target for Artificial Intelligence (AI) driven solutions, opening up avenues of predictive. Nevertheless, hurdles around model transparency, compatibility with legacy financial systems, and the high bar of computational resources persist as major pieces of resistance. Therefore, this research is focused on establishing new AI-based models to tackle this problem in predictive models, risk management strategies in financial trading domain. Through computational efficiency enhancement, explainable AI methodologies application, along with Path-independent adaptation to diverse asset classes, this model aims to formulate richer, ambient, and inclusive AI environments for the benefit of sustainability. Moreover, the study examines hybrid AI-based models that integrate private and public blockchains to enhance transaction throughput, scalability, and data privacy. The idea is to make financial systems more stable, accessible, and effective while minimizing environmental impact via energy-efficient consensus mechanisms.https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_01007.pdfblock chain integration data privacy explainable ai (xai)digital assets (e.g. portfolio management) hybrid ai models for risk management sustainable finance (integration of esg factors) artificial intelligence in financial trading financial stabilityeconomy & risk management |
| spellingShingle | Basha Shaik Asif Zia Amir B Kirankumar S Chandra Sekhar S Sumithra R Monisha Jothi Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies ITM Web of Conferences block chain integration data privacy explainable ai (xai)digital assets (e.g. portfolio management) hybrid ai models for risk management sustainable finance (integration of esg factors) artificial intelligence in financial trading financial stability economy & risk management |
| title | Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies |
| title_full | Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies |
| title_fullStr | Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies |
| title_full_unstemmed | Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies |
| title_short | Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies |
| title_sort | artificial intelligence in financial trading predictive models and risk management strategies |
| topic | block chain integration data privacy explainable ai (xai)digital assets (e.g. portfolio management) hybrid ai models for risk management sustainable finance (integration of esg factors) artificial intelligence in financial trading financial stability economy & risk management |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_01007.pdf |
| work_keys_str_mv | AT bashashaikasif artificialintelligenceinfinancialtradingpredictivemodelsandriskmanagementstrategies AT ziaamir artificialintelligenceinfinancialtradingpredictivemodelsandriskmanagementstrategies AT bkirankumar artificialintelligenceinfinancialtradingpredictivemodelsandriskmanagementstrategies AT schandrasekhar artificialintelligenceinfinancialtradingpredictivemodelsandriskmanagementstrategies AT ssumithra artificialintelligenceinfinancialtradingpredictivemodelsandriskmanagementstrategies AT rmonishajothi artificialintelligenceinfinancialtradingpredictivemodelsandriskmanagementstrategies |