International Journal on Science and Technology

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AI-based Identification of Financial Services

Author(s) Dr. M.VishnuVardhana Rao, K. Pavithra, B. Aashritha, J. Rakshana
Country India
Abstract In modern financial markets, traders often struggle with limited capital, high market volatility, and difficulty in choosing the right support services. To address these challenges, this project introduces an AI-based Identification System that analyzes user trading behavior and recommends two essential financial services: Margin Trading Facilities and Risk Management Services. The system examines important trading features such as trading frequency, trade size, investment patterns, and market conditions. Based on this data, the model identifies whether a trader needs Margin Trading Facilities, which provide additional borrowing support to help active traders take larger positions even with limited available capital. The system also predicts the need for Risk Management Services, which include stop-loss to automatically limit losses and portfolio balancing to maintain safer investment distribution. These services help traders protect themselves from sudden market fluctuations and reduce financial risk.By applying machine learning techniques, the system continuously learns from historical trading patterns and improves the accuracy of its recommendations. Overall, this project aims to offer personalized guidance, support safer trading, and enhance decision-making for both new and experienced traders.
Keywords AI-Based Trading System, Margin Trading Facility (MTF),Risk Management, Market Volatility Analysis
Field Engineering
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-04-06
DOI https://doi.org/10.71097/IJSAT.v17.i2.10769
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