An RSI-Based Algorithmic Trading System Using Angel One Smart API: Design, Implementation and Performance Evaluation
Year: 2025
Type: article
Abstract: The financial markets have experienced a revolution due to the introduction of algorithmic trading and its associated technologies. It allows for trading decisions to be made much quicker, based on large volumes of data with little minimal human errors and sentiment. The development of Smart Application Programming Interfaces (APIs) has also altered the trading landscape by providing easy access to market information and automatic order fulfillment. This paper designs and develops an automated trading system based on the An- gel One Smart API with a focus on the Relative Strength Index (RSI) as the main technical indicator. Authentication via an API's token, acquisition of pre- recorded and current data, computation of a set of indicators, and carry out buying and selling on behalf of the user are all performed by the system. The trading strategy is developed and improved through extensive back testing and effective risk management. These, alongside accuracy of data, security of the system, volatility of the market and compliance with the law, are the gaps that this work will address. The results show that an adequately structured algorithmic system based on an API interface can considerably increase the effectiveness of trading for individuals and trading companies alike. The angel one’s Smart Api is free of cost to use and provides all features for trade execution and back testing to the trader and it is a great way to start algorithmic trading for beginners.
Authors: Mohit Tyagi, Nookala Venu -
Institution: Madhav Institute of Technology & Science
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4410457644