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Retrieve real-time stock prices, generate buy/sell indicators, and display graphical representations of stock performance in a seamless manner.

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STOCKS DATA ANALYSIS

  • Real time stocks data using alpha vantage api

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  • Stock data analysis using Numpy and Pandas library

  • Buy / Sell indicator for stocks with timestamps

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  • Candlestick Graph using pyalgotrading library

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How to Run the code on your system ?

To run the notebook, you need to have Python installed on your machine. If you don't have it installed, you can follow the instructions here to install it.

  1. Clone the repository:
git clone https://github.com/anshumannandan/AlgoBulls_Assignment.git
  1. Navigate to the project directory
cd Stocks_Data_Analysis
  1. Install, Create and activate a virtual environment:
pip install virtualenv
virtualenv venv
venv/scripts/activate
  1. Install the dependencies:
pip install -r requirements.txt
  1. Run the following command to run jupyter notebook
jupyter notebook

This will open a browser instance with the jupyter interface displaying current directory structure

  1. Navigate to the notebook by selecting analysis.ipynb

  2. From the menu bar select Restart & Run All

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Retrieve real-time stock prices, generate buy/sell indicators, and display graphical representations of stock performance in a seamless manner.

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