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project_tracker.txt
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project_tracker.txt
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Timeline and Deadline: I'm dividing the work into several stages, with each stage having its own deadline. This will help me stay on track and manage time effectively.
Stage 0: Git Setup and Database Selection (1 day)
- Set up a Git repository for your project.
- Choose a database system (e.g., PostgreSQL or MySQL) and install the necessary tools and libraries.
Stage 1: Data Collection (1 day)
- Collect historical prices and financial data.
Stage 2: Data Preprocessing and Hadoop/Spark Integration (2 days)
- Preprocess the data and extract features.
- Integrate Hadoop and Spark for data preprocessing and storage.
Stage 3: Machine Learning and Backtesting (3-4 days)
- Train a machine learning model.
Stage 4: Strategies Module (2 days)
- Develop the strategies module.
Stage 5: Backtesting (2-3 days)
- Perform backtesting on various portfolio allocation strategies.
Stage 6: Back-end Development (2 weeks)
- Create the Flask back-end for processing user input and interacting with the machine learning model and backtesting algorithms.
Stage 7: Front-end Development (3 weeks)
- Develop the user interface using React, HTML, CSS, and JavaScript.
- Integrate the strategies module into the front-end.
Stage 8: Jenkins, Docker, and AWS Deployment (2 weeks)
- Set up Jenkins for continuous integration and deployment.
- Containerize the application using Docker.
- Deploy the application on AWS.
Stage 9: Testing and Documentation (2 weeks)
- Create test cases and test the application.
- Write documentation for the project.