Welcome to the Python Projects Repository! This repository contains two Python projects: "Instagram Reach Analysis" and "Stock Market Analysis." Each project is presented as a Jupyter Notebook (ipynb) file.

The "Instagram Reach Analysis" project is designed to analyze the reach and engagement of your Instagram posts. It utilizes the Instagram Graph API to fetch data about your posts and generate insightful visualizations to understand how your content performs.

• Fetch post metrics such as likes, comments, and impressions.
• Calculate engagement rate and reach for each post.
• Visualize post performance using interactive charts.
• Identify popular posts and understand user interactions.

1. Install the required packages using the following command:

   pip install -r requirements.txt
   

2. Obtain access tokens and API keys from the Facebook Developer portal.
3. Update the config.py file with your access tokens.
4. Run the "Instagram_Reach_Analysis.ipynb" notebook to start the analysis.

The "Stock Market Analysis" project focuses on analyzing historical stock market data and making data-driven investment decisions. It utilizes popular libraries like Pandas, Matplotlib, and NumPy to process and visualize the data.

• Fetch historical stock data using an API.
• Calculate important financial indicators (e.g., moving averages, RSI, MACD).
• Visualize stock trends and indicators for better insights.
• Build and test basic trading strategies.

1. Install the required packages using the following command:

   pip install -r requirements.txt
   

2. Obtain an API key from your preferred stock market data provider.
3. Update the config.py file with your API key.
4. Run the "Stock_Market_Analysis.ipynb" notebook to start the analysis.

Feel free to explore, use, and modify the projects as per your requirements. If you find any issues or want to contribute to the repository, you can submit a pull request. This repository is licensed under the MIT License.

Happy coding!