SHARE MARKET ADVISOR LITE APP

Abstract

n today's dynamic financial age, especially in the Indian share market, common investors encounter many challenges in making timely and informed decisions. The dynamic and volatile nature of the market and a plethora of financial information from different sources have a tendency to confuse common investors and make them uncertain. To address this great need for simple and easy-to-understand guidance, the "Share Market Advisor Lite" project was created as a data-driven solution to help common investors. This project constructs an active, interactive website dashboard with Python and Flask. It utilizes actual market data from Yahoo Finance. The dashboard acts as a personal finance assistant, enabling users to view present market trends, examine the best means of allocating their portfolios, track increases in various sectors, and gain insight into the impact of foreign institutional investment. Through transforming raw data into meaningful information, the platform makes users better aware of intricate market information. These are at the very center of the system: Four principal analytical modules • Market State Detection: A base layer that identifies the current market mood— bullish or bearish—based on the 100-day moving average of the Nifty 50 index. This analysis provides the foundation for all the following investment suggestions by correlating strategies with market conditions. • Portfolio Optimization: According to the Markowitz Efficient Frontier model, the dashboard helps users optimize portfolios that yield the best returns for a specified level of risk. The software can adjust to market conditions by selecting stocks depending on the performance of different sectors and their risk-return profiles, offering a combination of investments and stability. • Foreign Investment Analysis: The site tracks net 90-day inflows from Foreign Institutional Investors (FIIs) and Foreign Portfolio Investors (FPIs) and displays these as trends and market sentiment indicators, providing retail investors with a sense of the broader macroeconomic drivers on Indian markets. • Sector Growth Monitoring: By monitoring how different sectors are performing, the system shows which sectors are growing substantially. This feature helps users determine where money is going and where sectors may lead to market growth in the future. The dashboard was created through a straightforward process of four steps: data gathering, model creation, visual creation, and web deployment. By integrating these components into a user-friendly interface, the project demonstrates expertise in web development and data science as well as its utility through real-world applications. For example, April 2025 market data analysis indicated a highly bullish pattern. Using the optimization function of the dashboard, a virtual portfolio was developed that achieved an estimated return of around 13.49%, surpassing the general retail investment return. Further, the tool identified high-growth industries like Telecommunication and Capital Goods, supporting its ability to inform strategic investment choices. The present version targets the Nifty 50 index, but it is quite simple to extend the system since it is modular. The future versions can introduce support for other indices (such as Nifty Next 50 and Sensex), machine learning-based forecasts, news sentiment analysis, and overlays of macroeconomic data. These options would further increase the utility of the tool for various investors and scenarios. In short, the "Share Market Advisor Lite" project combines theory with practice. It offers a current and easy solution to a big problem for retail investors. It makes complicated financial data easy to understand and allows investors to make more informed and confident decisions based on facts.