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Original Article
Auto Trader X: An Agentic AI and Retrieval-Augmented Generation Framework for Real-Time Explainable Financial Decision Support
Swayam1
Mayank Gahlawat2
Anshuman Lochav3
Dr. Vivek Mehta4
1 2 3 Department of Computer Science and Engineering, Netaji Subhas University of Technology (NSUT), Delhi, India. 4 Supervisor, Department of Computer Science and Engineering, NSUT, Delhi, India.
Published Online: May-August 2026
Pages: 101-103
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260502009
References
1. Araci, D. (2019). FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.
2. Bao, W., Yue, J., & Rao, Y. (2017). Deep Learning Framework for Financial Time Series.
3. Dettmers, T., et al. (2024). QLoRA: Efficient Finetuning of Quantized LLMs.
4. Lewis, P., et al. (2020). Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.
5. Yang, H., Liu, X., & Wang, C. (2023). FinGPT: Open-Source Financial Large Language Models.
2. Bao, W., Yue, J., & Rao, Y. (2017). Deep Learning Framework for Financial Time Series.
3. Dettmers, T., et al. (2024). QLoRA: Efficient Finetuning of Quantized LLMs.
4. Lewis, P., et al. (2020). Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.
5. Yang, H., Liu, X., & Wang, C. (2023). FinGPT: Open-Source Financial Large Language Models.
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