Trading Automation Using PineScript

This research project presents a comprehensive initiative that combines the development of an efficient website scraper with an algorithmic trading system. The website scraper, designed to extract diverse data elements such as text, images, links, and product information, aims to empower students and new learners in the field with the ability to access, analyze, and comprehend web data for applications like market research and competitive analysis. The trading system utilizes a indicator based on Relative Strength Index (RSI) and Bollinger Bands for real-time Buy and Short signals in index trading. Parameters and real-time display enhance adaptability and analysis. The initiative includes the integration of a simulator into a financial platform, offering users a realistic experience to understand investment strategies, mitigate risks, and optimize financial performance. The simulator, the real stock market using historical and real-time data, provides a risk-free environment for users to practice investment plans. The approach aims to make internet investing more accessible and informed, bridging the gap between data extraction, analysis, and algorithmic trading for a comprehensive understanding of investment opportunities in a dynamic market environment.