Stock-Prediction-System-Application

Introduction

Aim

Objective

Project Scope

Technology Used:

• Languages:

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• FrameWork:

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• Deployment:

  • Click to see deployement (NOTE: Deployement not working):

• Machine-Learning Algorithms:

  • MULTIPLE LINEAR REGRESSION

• ML/DL:

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• Database:

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• API used for:

  • Yahoo Finance API
  • REST API

• IDE:

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• OS used for testing:

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• Designed using:

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Prerequisites:

  Django==3.2.6
  django-heroku==0.3.1
  gunicorn==20.1.0
  matplotlib==3.5.2
  matplotlib-inline==0.1.3
  numpy==1.23.0
  pandas==1.4.1
  pipenv==2022.6.7
  plotly==5.9.0
  requests==2.28.1
  scikit-learn==1.1.1
  scipy==1.8.1
  seaborn==0.11.2
  sklearn==0.0
  virtualenv==20.14.1
  virtualenv-clone==0.5.7
  yfinance==0.1.72

Project Installation:

STEP 1: Clone the repository from GitHub.

  git clone https://github.com/Kumar-laxmi/Stock-Prediction-System-Application.git

STEP 2: Change the directory to the repository.

  cd Stock-Prediction-System-Application

STEP 3: Create a virtual environment (For Windows)

  python -m venv virtualenv

(For MacOS and Linux)

  python3 -m venv virtualenv

STEP 4: Activate the virtual environment. (For Windows)

  virtualenv\Scripts\activate

(For MacOS and Linux)

  source virtualenv/bin/activate

STEP 5: Install the dependencies.

  pip install -r requirements.txt

STEP 6: Migrate the Django project. (For Windows)

  python manage.py migrate

(For MacOS and Linux)

  python3 manage.py migrate

STEP 7: Run the application. (For Windows)

  python manage.py runserver

(For MacOS and Linux)

  python3 manage.py runserver

Output Screen-shots:

The Home page of the application that displays real time data of stock prices.

To Predict stock price we move on to predicition page where we need to enter valid ticker value and number of days and click predict button.

This page displays the predicted stock price alsong with searched ticker details and also generating unique QR Code to view the predicted result.

The Left Graph is the real time stock price of the searched ticker for past 1day & the Right Graph is the predicted stock price for the number of days searched.

The Ticker Info page displays the details of all the valid tickers accepted by the application.

Disclaimer