Phase 1.2 Integrate PostgreSQL Database to Store Stock Data

1. Objectives

✅ Goal: Integrate PostgreSQL Database to Store Stock Data

🎯 Key Tasks:

1️⃣ Set Up PostgreSQL Database: Prepare database and schema for stock data storage.
2️⃣ Develop FastAPI Endpoints: APIs for storing and retrieving stock data.
3️⃣ Validate Data Storage and Retrieval: Ensure the accuracy and reliability of stored data.
4️⃣ Implement Efficient Caching Strategy: Improve response speed and reduce external API/database load.

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2. Task Breakdown

1️⃣ Database Setup (PostgreSQL)

• Task: Set up PostgreSQL database environment.
• Subtasks:
  • Configure PostgreSQL using Docker or cloud-hosted service.
  • Define and create database schema/table (stock_data).
• Expected Output: Functional PostgreSQL database ready to store stock data.

2️⃣ Develop FastAPI Endpoints for Database Operations

• Task: Implement endpoints to store and retrieve stock data.
• Endpoints:
  • GET /api/v1/stocks/{symbol}: Retrieve stored stock data for analysis.
• Expected Output: Data successfully stored and retrieved via API.

3️⃣ Validate Database Operations

• Task: Verify correct data storage and retrieval.
• Subtasks:
  • Insert test data and verify database insertion.
  • Retrieve stored data and validate against original data.
• Expected Output: Reliable storage and accurate retrieval of stock data.

4️⃣ Implement Data Caching Strategy

• Task: Integrate caching mechanism to enhance response times and reduce database/API load.
• Subtasks:
  • Provide quick responses for repeated stock data queries using cache storage.
  • Minimize external API calls and reduce database query frequency.
  • Implement periodic cache cleanup to prevent accumulation of unnecessary data.
• Expected Output: Efficient data retrieval with reduced latency and improved server performance.

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3. Expected Deliverables

📌 Configured PostgreSQL Database with clearly defined schema.

📌 Working FastAPI endpoints GET integrated with the database.

📌 Implemented caching mechanism for improved performance and reduced load.

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5. Next Steps After Database Integration

🔜 Enhance API Response with Data Formatting & Insights

🔜 Frontend UI to Display Stored Data and Predictions

🔜 Add Automation for Regular Data Updates (Cron or Scheduler)