Freelance Project: Automated Data Analysis and Market Prediction Dashboard

Hello Freelancers, We are currently seeking an experienced professional to assist us with a project that involves automated data feed integration, data analysis, and market prediction utilizing machine learning techniques. The primary focus of this project is to enhance our decision-making process by providing valuable insights into the financial market. Below are the key points and requirements for the project: Automated Data Feed from NSE Website to Google Sheets: We require an automated solution to fetch data from the NSE (National Stock Exchange) website and populate it into Google Sheets. This will ensure that we have real-time data available for analysis. Data Analysis of FII, DII, PRO & Client Data: The collected data will include information from different segments such as FII (Foreign Institutional Investors), DII (Domestic Institutional Investors), PRO (Proprietary Traders), and Clients. Your task will be to analyze this data and present insights about the positions and activities of each segment. Position Identification and Strength Assessment: For each segment (FII, DII, PRO, Clients), we need to identify the strength of their positions in terms of various contracts, including Index Futures Long, Index Futures Short, Call and Put Long, and Short Contracts. The analysis should cover indicators like Long Buildup, Short Buildup, Long Unwinding, and Short Covering. Furthermore, the strength of each position should be evaluated by comparing the number of open contracts. Market Behavior Prediction using ML: If possible, we are interested in predicting market behavior using historical data and applying machine learning algorithms. This prediction will provide us with additional insights for our decision-making process. Dashboard Creation: As part of the project, we would like to have a user-friendly dashboard that visually represents the analyzed data and market predictions. This dashboard will be a valuable tool for us to monitor market trends and make informed decisions. Additional Information: The applicant should have a strong understanding of financial markets, data analysis, and machine learning techniques. Proficiency in Google Sheets, data manipulation, and visualization tools is essential. Experience with market prediction models and dashboard creation will be a definite advantage. If you are interested in taking up this project, please provide us with the following: Your relevant experience and skills. A brief outline of your proposed approach to tackling the project's requirements. Estimated timeline for project completion. Feel free to reach out if you have any questions or need further clarification regarding the project. We are excited to find a skilled freelancer who can help us enhance our decision-making process through data analysis and market prediction