FINANCIAL TECHNOLOGY MOBILE APPLICATION WITH PREDICTION USING LONG SHORT TERM MEMORY MODEL AND CHATBOT USING NATURAL LANGUAGE PROCESSING

Abstract

Trading Assist application developed in the final project’s purpose is to achieve a number of specific objectives, which are: Providing dependable real-time list of stocks with precise pricing information that displays top performing stocks according to several trading measures. Utilizing machine learning model LSTM to make predictions on future price of stocks for both the immediate following day and subsequent weeks. Assisting users in making informed decisions by offering a chatbot that has been trained with reliable concepts of stock trading. Providing a learning platform that offers a range of educational resources varying on complexities including videos and summaries to facilitate the acquisition and application of knowledge in the field of stock trading for users.