Kalpi Technical Indicator API

Welcome! This repository provides a robust, scalable backend API for technical analysis of stock data, with a focus on clear architecture, modularity, and ease of use.

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📂 Repository Navigation

This project is documented with several Markdown files to help you understand, deploy, and test the API efficiently. Below is a guide to each document and how it can assist you:

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1. Architecture Design

• File: Architecture_Design.md
• Purpose:
  Offers a detailed explanation of the system’s architecture, including component diagrams, design justifications, scalability strategies, and the subscription model.
• How it helps:
  Start here to understand the overall structure, design choices, and how the system is built for performance and growth.

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2. API Documentation

• File: API_Documentation.md
• Purpose:
  Provides a comprehensive reference for all API endpoints, including authentication, request/response examples, error codes, and tier-based access notes.
• How it helps:
  Use this file to learn how to interact with the API, see example requests, and understand the expected responses for each endpoint.

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3. Setup and Running Instructions

• File: Setup_and_Running_Instructions.md
• Purpose:
  Step-by-step instructions for setting up and running the API locally or via Docker, including environment setup, database initialization, and how to test different user tiers.
• How it helps:
  Follow this guide to get the API running on your machine, whether you prefer a standard Python environment or a Docker-based deployment.

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4. Testing Strategy

• File: Testing_Strategy.md
• Purpose:
  Outlines the approach to automated and manual testing, covering unit, integration, tier validation, security, and error handling.
• How it helps:
  Review this file to understand how the API’s reliability and correctness are ensured, and how different user scenarios are validated.

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🚦 Getting Started

1. Read the Setup_and_Running_Instructions.md to install dependencies and launch the API.
2. Explore the API using the interactive docs at /docs (Swagger UI) or /redoc once the server is running.
3. Refer to API_Documentation.md for endpoint details and usage examples.
4. Consult Architecture_Design.md for insights into the system’s design and scalability.
5. See Testing_Strategy.md for information on how the project is tested and how you can run or extend the tests.

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🤝 Contributing & Support

If you have suggestions or wish to contribute, please open an issue or pull request.
For questions or support, consult the documentation files above for guidance.

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