PyStockAnalyze Architecture Overview

Overview

PyStockAnalyze takes stock data and analyzes it using information from websites on the internet. It is implemented as a Django Web Application containing the following subsystems:

Feature	Stock Data	Textual Content
Database	Manage/Store Stock Data	Manage/Store Data Grabbed From Websites
Visualizer	Visualize Stock Data	Visualize Data Cached From Websites
Analytics Engine	Analyze 1-N Stocks	Sentiment Analysis on Web Content

Each of these features will be referred to as an application or a feature cluster. The architecture of a feature cluster is described in the next section. The project has a minimum of 6 feature clusters--a database, visualizer, and analytics engine per data source. Stock data for this project will be sourced from the AlphaVantage Stock API. The web-sourced textual information used for the semantic analysis will be sourced from the Google Custom Search API. However, these are ultimately just data sources and other alternatives may be used.

Feature Cluster

The term feature cluster is being used to refer to each of the features pr