Python-Project

Introduction

Predicting stock prices is a cumbersome task as it does not follow any specific pattern. Changes in the stock prices are purely based on supply and demand during a period of time. In order to learn the specific characteristics of a stock price, we can use algorithm to identify these patterns. Using our website you can learn about various types of chart patterns and implement your knowledge by indentifying the patterns using the predict functionality which shows MACD graph of any stock in real time. The successful prediction of a stock's future price could yield a significant profit and that is the vision of our website in the future.

Aim

To predict stock prices according to real-time data values fetched from API.

Objective

The main objective of this project is to develop a web application to teach differennt chart patterns and predict stock price based on real-time data using python.

Project Scope

The project has a wide scope, as it is not intended to a particular organization. This project is going to teach users regarding stocks patterns and help in predicting the stock price using various indicators. Moreover it provides facility to its users.

Technology Used:

• Languages:

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• FrameWork:

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• Deployment:

  • Click to see deployement :

• Libraries used:

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• API used for:

  • Alpha vantage

• IDE:

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Prerequisites:

  asgiref==3.6.0
  Django==4.2
  sqlparse==0.4.3
  tzdata==2023.3

Project Installation:

Start App

Windows :-

cd myproject

python -m venev env

env\scripts\activate.ps1 (For Powershell)

activate env (For CMD)

pip install -r requirnments.txt

python manage.py runserver 

MacOS :-

cd myproject

python3 -m venv env

source env/bin/activate

pip install -r requirnments.txt

python manage.py runserver 

Features

-Django App to learn stock charts
-Django App to predict Stock outcomes

Authors

• @prabirkalwani

• @Aayush Shah

• @Shashank Shekhar

• @Harshvardhan Patil