ALGORITHMIC TRADING

Abstract

The rise of algorithmic trading systems, enabled by rapid advancements in artificial intelligence and machine learning, has transformed financial markets by automating trading decisions and enhancing investment strategies. This research presents a comprehensive algorithmic trading framework that integrates multiple machine learning models, technical indicators, and real-time data processing for automated stock trading. The system employs sophisticated classifiers to predict buy/sell signals based on technical analysis of historical price data and market indicators. Experimental evaluations using Indian stock market data demonstrate robust performance with automated trade execution, risk management, and portfolio tracking capabilities.