I have developed a stock dashboard tailored to the unique requirements of individual users. The Minimum Viable Product (MVP) features basic statistics, graphical representations, an AI assistant, search functionality, competitor analysis, and a database that retains user queries.

The forthcoming version of the application will incorporate the ten most popular analytics for company assessment, along with five advanced machine learning methods designed to forecast stock prices.

Subsequent iterations will employ Large Language Models (LLMs) to analyze news content. This functionality will identify risks that are publicly known, as well as those understood by only a select few. This innovative approach will provide empirical evidence to determine whether indicators like the Relative Strength Index (RSI) and Bollinger Bands, among other techniques, accurately signal optimal times for either shorting or going long on a stock.