https://github.com/sakaars/financial-data-aggregator-and-visualizer

https://github.com/sakaars/financial-data-aggregator-and-visualizer

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• Host: GitHub
• URL: https://github.com/sakaars/financial-data-aggregator-and-visualizer
• Owner: sakaars
• Created: 2025-01-10T21:34:52.000Z (27 days ago)
• Default Branch: main
• Last Pushed: 2025-01-10T21:48:39.000Z (27 days ago)
• Last Synced: 2025-01-10T22:38:34.573Z (27 days ago)
• Language: Jupyter Notebook
• Size: 20.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Financial-Data-Aggregator-and-Visualizer

## Overview 

The Financial Data Aggregator and Visualizer is a tool designed to fetch, aggregate, and visualize financial data for analysis. This project leverages APIs to retrieve real-time stock market data, processes it using cloud technologies, and provides insightful visualizations.

## Features

Real-Time Data Fetching: Uses APIs (e.g., Alpha Vantage, Finnhub) to fetch stock market data.

Cloud Storage: Stores data in AWS S3 for scalable and reliable storage.

Data Aggregation: Processes large datasets efficiently using Apache Spark.

Visualization: Displays metrics like P&L, balance sheet trends, and capital allocation using Matplotlib and Plotly.

Extensibility: Can integrate with Snowflake and other cloud solutions for advanced analytics.

## Technologies Used

Python: Data fetching, aggregation, and visualization.

Java: Optional integration for backend logic.

RESTful APIs: Data fetching.

React.js: Frontend visualization (optional, not covered in Colab).

Apache Spark: High-speed data aggregation.

AWS S3: Cloud storage.

## Installation

Prerequisites

Python 3.x installed

AWS CLI configured

Kaggle API for dataset access

Steps

## Clone the repository:

git clone https://github.com/yourusername/financial-data-aggregator.git

cd financial-data-aggregator

Install required Python libraries:

pip install -r requirements.txt

Set up AWS credentials using the AWS CLI:

aws configure

(Optional) Download a dataset from Kaggle:

Upload your Kaggle API key (kaggle.json) to the project directory.

Run the following in your terminal or Colab notebook:

kaggle datasets download -d 

Usage

Fetch Real-Time Stock Data

Update the API key and symbol in the script:

api_key = 'YOUR_API_KEY'

symbol = 'AAPL'  # Replace with desired stock symbol

Run the fetch_data.py script to retrieve and save data:

python fetch_data.py

Process Data with Apache Spark

Use the provided Spark script to aggregate data:

python process_data_spark.py

Visualize Data

Run the visualization script to generate plots:

python visualize_data.py

## File Structure

financial-data-aggregator/

|├── fetch_data.py          # Script to fetch stock data using APIs

|├── process_data_spark.py # Script to process data with Apache Spark

|├── visualize_data.py     # Script to create visualizations

|├── requirements.txt     # Required Python libraries

|├── README.md            # Project documentation

|└── data/                # Directory for storing raw and processed data

## Contributions

Contributions are welcome! Please fork the repository and create a pull request for any improvements or new features.

## License

This project is licensed under the MIT License. See LICENSE for details.