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Spring 2017
Course : Software Engineering for Web Applications

STOCK FORECASTING SYSTEM - "PREDSTOCKS"

FRAMEWORK : Django
SERVER : XAMPP
DATABASE : MySQL
LANGUAGE : Python


Prediction strategies -
Bayesian Prediction, Artificial Neural Network and Support Vector Machine


  1. This project is implemented using Python 2.7.10 and Django web framework and Mysql database.
  2. Install Django 1.9.5
  3. Setup XAMPP
    run the following commands:
    a) "python manage.py makemigrations"
    b) "python manage.py migrate"
    this will create the mysql tables in the database "stocks".
  4. to Run the sytem server:
    a) Navigate to directory /stock-prediction/stockprediction/
    b) Run the command "python manage.py runserver"

realtime/
This folder is the main base directory in the system. It contains the most important .py files like urls.py which has the main URL mapping of the system. Maps all the urls to their URIs. Manage.py is main file in the system.

Package structure:

Stock-Prediction-Systems/ - Main folder

realtime/
This folder is the main base directory in the system. It contains important .py files like:
settings.py : Contains main settings for system. Go and put your mysql password here.
urls.py : has main URL mapping of the system. Maps all the urls to their URIs.

Manage.py: It is main file in the system.

Templates- Contains all of the HTML templates of the system which is inside realtime.
index.html
prediction.html
news.html
search.html
contact.html
and all other html templates for graph plots.

Static/ : Contains all the static files for the system like images, Javascript files, CSS files, fonts.

views.py : Contains all the functions to create views on the webpage.

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Complete software system for real time stock price prediction.

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  • JavaScript 63.8%
  • HTML 25.0%
  • Python 9.6%
  • CSS 1.6%