Stock-Market-Prediction-System [Demo]

Overview

System aims to provide professional to beginner traders/investors a basic analysis and prediction of the stock the user wants to possibly invest in or just want to enquire about (3 different APIs are used to fetch data for NSE, BSE and S&P 500 Stocks).

System is able to display that particular prediction on a systematic graph and is able Predict Future Low, High points with the help of Machine Learning (A combination of LSTM, SVM and LR algorithms) and further display them on an interactive GUI. It is able to Store this analysis onto a database to reduce future computations related to that particular stock and also utilizing that prior analysis to improve future predictions. System also includes a separate additional feature for user to inculcate their intuition into the prediction and possibly improving the accuracy based on that.

System Description

• Presentation
• Design Diagrams:
• Zero Level
• First Level
• Decision Tree
• SRS Doc

APIs used for Fetching data:

• pandas_datareader
• nsepy (For Indian Stocks)
• yfinance (Yahoo finance database)