Welcome to Cloud Trade

Cloud Trade is a web-based application that provides real-time stock tracking capabilities for traders and investors. The application enables users to monitor stock prices, track market trends, and analyze market data in real time.

Features

• Real-time updates on stock prices for monitoring and decision-making.
• Secure user accounts for personalized access.
• Access to historical stock data for research and analysis.
• Compatibility with mobile devices for convenient access.

Technologies Used

• Languages:

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• FrameWork:

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• ML/DL:

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• Database:

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• API used for:

  • Yahoo Finance

• IDE:

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• OS used for testing:

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Prerequisites

appdirs==1.4.4
asgiref==3.6.0
beautifulsoup4==4.12.2
certifi==2022.12.7
cffi==1.15.1
charset-normalizer==3.1.0
contourpy==1.0.7
cryptography==40.0.1
cycler==0.11.0
Django==4.2
fonttools==4.39.3
frozendict==2.3.7
html5lib==1.1
idna==3.4
joblib==1.2.0
kiwisolver==1.4.4
lxml==4.9.2
matplotlib==3.7.1
multitasking==0.0.11
numpy==1.24.2
packaging==23.0
panda==0.3.1
pandas==2.0.0
Pillow==9.5.0
plotly==5.14.1
pycparser==2.21
pyparsing==3.0.9
python-dateutil==2.8.2
pytz==2023.3
requests==2.28.2
scikit-learn==1.2.2
scipy==1.10.1
six==1.16.0
soupsieve==2.4
sqlparse==0.4.3
tenacity==8.2.2
threadpoolctl==3.1.0
tzdata==2023.3
urllib3==1.26.15
webencodings==0.5.1
yfinance==0.2.17

Project Installation:

STEP 1: Clone the repository from GitHub.

git clone https://github.com/VatsalShah5/CloudTrade.git

STEP 2: Change the directory to the repository.

  cd Cloudtrade

STEP 3: Create a virtual environment.

  python -m venv virtualenv

STEP 4: Activate the virtual environment.

  virtualenv\Scripts\activate

STEP 5: Install the dependencies.

  pip install -r requirements.txt

STEP 6: Migrate the Django project.

  python manage.py migrate

STEP 7: Run the application.

  python manage.py runserver

Walkthrough Video:

2023-05-26.22-10-40.mp4

Output Screen-shots:

SignUP Page:

Login/SignIn Page:

Home Page:

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

Stock Prediction Page:

To Predict stock price we move on to the prediction page where we need to enter a valid ticker value and a number of days and click predict button.
This page displays the predicted stock price along with searched ticker details.

Stock List Page:

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

About Us Page:

Contact Us Page:

Contributions and License.

This project is open to contributions. Feel free to fork the repository, make improvements, and submit pull requests. If you use this project as a reference or base for your own work, kindly give credit to the original creator.

Contact Information

For any inquiries or collaborations related to the project, you can reach out to me through my social media profile: