Financial Market Analysis and Forecasting Tool

Overview

This project is an end-to-end financial market analysis tool designed to process, analyze, and visualize financial data in real-time. It covers various phases from data processing to web development and deployment.

Phases

• Phase 1: Training on Historical Data
• Phase 2: Go Real-Time
• Phase 3: Tableaulize
• Phase 4: Web Development
• Phase 5: Go Online
• Phase 6: Documentation

Getting Started

Prerequisites

• Apache Spark
• Apache Kafka
• Tableau
• [Other relevant technologies]

Installation

1. Clone the repository
   git clone https://github.com/armingh2000/FinMAF.git

2. Add absolute path of project root to python path
   export PYTHONPATH="${PYTHONPATH}:/absolute/path/to/FinMAF"

3. CD to setup dir
   cd FinMAF/setup

4. Run setup scripts (Remember to always run the setup scripts from within the setup directory)

   • Data preperation setup scripts
     chmod +x data_pipeline_spark.sh
./data_pipeline_spark.sh

Usage

• [Instructions on how to use the tool]

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning.

Authors

• Armin - Initial work - [Your Profile]

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• [Any acknowledgments]

Considerations

• Data Privacy and Compliance
• Model Complexity
• User Experience

Deliverables

• A slide deck or video walkthrough.