https://github.com/vishal815/-stock-market-prediction-with-machine-learning-django
Developed ML/DL based a web application for stock price prediction based on real-time data.
https://github.com/vishal815/-stock-market-prediction-with-machine-learning-django
api-rest css django end-to-end finance financialmodeling github-project investment machine-learning mlinfinance project python real-time stock-market stock-market-analysis stock-market-prediction timeseries-analysis trading vishal-lazrus vishallazrus
Last synced: 10 days ago
JSON representation
Developed ML/DL based a web application for stock price prediction based on real-time data.
- Host: GitHub
- URL: https://github.com/vishal815/-stock-market-prediction-with-machine-learning-django
- Owner: vishal815
- Created: 2023-07-04T16:05:41.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-05T17:29:10.000Z (almost 2 years ago)
- Last Synced: 2025-04-12T04:13:40.473Z (10 days ago)
- Topics: api-rest, css, django, end-to-end, finance, financialmodeling, github-project, investment, machine-learning, mlinfinance, project, python, real-time, stock-market, stock-market-analysis, stock-market-prediction, timeseries-analysis, trading, vishal-lazrus, vishallazrus
- Language: Python
- Homepage:
- Size: 69.3 MB
- Stars: 26
- Watchers: 1
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[//]: # (Hello welcome to my project
This project is already uploaded to my GitHub https://github.com/vishal815/-Stock-market-Prediction-with-Machine-Learning-Django.git
)
## Introduction
Welcome to Stock Price Prediction with Machine Learning! My website, powered by linear regression and a Django App, provides real-time data of stock prices on the home page. To predict stock prices, simply navigate to the prediction page, enter a valid ticker value and the number of days you want to predict, and click the predict button. This page displays the predicted stock price along with the details of the searched ticker. We also generate a unique QR Code for easy access to the predicted results. On the prediction page, you'll find two graphs: the left graph shows the real-time stock price of the searched ticker for the past day, while the right graph displays the predicted stock price for the specified number of days. Additionally, our Ticker Info page provides comprehensive details about all the valid tickers accepted by the application.
## Aim
Title: Stock Price Prediction with Machine Learning
Aim: To predict stock prices according to real-time data values fetched from API.
## Objective
Develop a web application for stock price prediction based on real-time data.
## Scope
The project is applicable to any business organization, providing users with stock price prediction capabilities and comprehensive summary data.
## Technology Used
- Languages: HTML, CSS, JavaScript, Python
- Framework: Bootstrap, Django
- Machine Learning Algorithms: Multiple Linear Regression
- ML/DL Libraries: NumPy, Pandas, scikit-learn
- Database: SQLite
- APIs: Yahoo Finance API, REST API
- IDE: VS Code, Jupyter Notebook
## Project Installation:
**STEP 1:** Clone the repository from GitHub.
```bash
git clone https://github.com/vishal815/-Stock-market-Prediction-with-Machine-Learning-Django.git
```
**STEP 2:** Change the directory to the repository.
```bash
cd FolderName
```
**STEP 3:** Create a virtual environment
(For Windows)
```bash
python -m venv virtualenv
```
**STEP 4:** Activate the virtual environment.
(For Windows)
```bash
virtualenv\Scripts\activate
```
**STEP 5:** Install the dependencies.
```bash
pip install -r requirements.txt (already text attached in the project)
```
**STEP 6:** Migrate the Django project.
(For Windows)
```bash
python manage.py migrate
```
**STEP 7:** Run the application.
(For Windows)
```bash
python manage.py runserver
```
## Output Screen-shots:
Home page displaying real-time data of stock prices
Prediction page where users enter valid ticker value and number of days
Prediction page displaying predicted stock price, ticker details, and QR Code.
Left graph shows real-time stock price for past day, right graph shows predicted stock price for specified days
Ticker Info page displaying details of valid tickers
Overview of code section
## Conclusion:
Our Stock Price Prediction with Machine Learning website, utilizing linear regression and Django, enables users to predict stock prices based on real-time data.
With easy-to-use interfaces and insightful graphs, users can make informed investment decisions.
We provide comprehensive ticker information and ensure accurate predictions through our machine learning algorithms.
## Report PDF of Project.
[Final Report.pdf](https://github.com/vishal815/-Stock-market-Prediction-with-Machine-Learning-Django/files/11960207/Final.Report.KUKBIT.pdf)
## Thank you!