Analyzation and Visualization of Stock

Abstract: Model used is ARIMALSTM abbreviated as Auto Regressive Moving Averages and Long-short-term Memory. This model has been collaborated with Deep learning Reinforcement to make use of its library FinRL. There are several proposed models in recent time like RNN, KNN etc. yet need to be improved and modified. Our proposed model uses mathematical approach and calculation to know the market behavior -this is the analyzation step, neural network having time-series visualization capability to present the analyzed data as form of graphs plotted by using python framework and its libraries.
Algorithms implemented such as ARIMA, LSTM for the current trends to be integrated with the past observed data. Flask, a python framework, has been included to make a reactive web page by assembling all required tools like wordpress for the database purpose and tensorflow, etc. Purpose is to analyze and visualize the stock prices graphically of Indian and International Firms over several timestamps and we have also provided additional features to know about each and every stock using Technical Indicators.

Keywords: Stock, analyzation, visualization, forecasting, prediction, Models.