[03] Designing a Personal Commitment Line - Two Loans, One Defense System

The code you've provided is a comprehensive system for managing and optimizing margin loans in the Japanese stock market, specifically tailored to individual investors using SBI Securities' services. Here's an overview of what each part does:

1. Database Schema (alm_schema.py)

This file defines the structure of your SQLite database, which stores historical data about your portfolio and loan details.

• Tables:
  • portfolio: Stores daily snapshots of your portfolio value.
  • loan_details: Tracks changes in your margin loans over time.

2. Data Entry (alm_data_entry.py)

This script allows you to manually input or update data about your portfolio and loan details.

• Functions:
  • update_loan_details(): Updates the database with new loan information.
  • update_portfolio_value(): Records daily changes in your portfolio value.

3. Historical Analysis (alm_historical_analysis.py)

This script provides a way to analyze past data stored in the database, helping you understand trends and patterns in your margin loans and portfolio performance.

• Functions:
  • get_loan_history(): Retrieves historical loan details.
  • `get_portfolio_history

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