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Architecture and Tech Stack

FromNoValue edited this page Feb 2, 2024 · 1 revision

Architecture and Tech Stack

Overview

MarketVisionPro's architecture is designed for scalability and efficiency. Our tech stack is carefully chosen to balance performance with cost-effectiveness, ensuring that we can handle the demands of financial data processing and analysis while maintaining a lean operation.

Frontend

  • React.js: Known for its efficiency and rich ecosystem. It enables us to create a dynamic, responsive user interface that can scale with user demand.

Backend

  • Node.js with Express.js: Provides a lightweight yet powerful framework for building our APIs. It aligns with our frontend JavaScript stack, allowing for seamless development and maintenance.

Database

  • MongoDB: Ideal for storing unstructured data, enabling quick iteration during the MVP phase.
  • PostgreSQL: Offers robust transactional support and powerful query capabilities for handling complex financial data.

Hosting/Infrastructure

  • AWS / Google Cloud: Both platforms offer scalable, pay-as-you-go services that can grow with our project. They provide essential tools for monitoring and optimizing resource usage.

Responsibility: The DevOps team, in collaboration with backend and frontend leads, will ensure that the tech stack remains efficient, up-to-date, and well-integrated.

trading_tool/ │ ├── src/ │ ├── technical_analysis/ │ │ ├── init.py │ │ ├── indicators.py │ │ └── patterns.py │ │ │ ├── fundamental_analysis/ │ │ ├── init.py │ │ ├── economic_data.py │ │ └── corporate_data.py │ │ │ ├── sentiment_analysis/ │ │ ├── init.py │ │ └── sentiment.py │ │ │ └── main.py │ ├── tests/ │ ├── technical_tests.py │ ├── fundamental_tests.py │ └── sentiment_tests.py │ ├── data/ │ ├── notebooks/ │ └── exploration.ipynb │ ├── requirements.txt └── README.md

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