Practice with Financial Analytics

Explainer by ChatGpt o1

This is the full AI-generated explainer

Overall, the program simulates a trading environment in Excel, using a SQL database as the “back end.” The VSTO add-in handles:
- Connecting to a chosen DB (Alpha, Beta, or Gamma).
- Downloading data/tables into memory.
- Exposing dashboards and controls for the user to perform trades.
- Calculating margin requirements, total portfolio value, interest, and “tracking error.”
- Logging every transaction in the TransactionQueue table.

The modular design (Main, RibbonST, DB_procedures, Dataset_Procedures, PortfolioManagement, Controls, and the Transaction class) keeps the code organized. Each module or class has a specific responsibility, from database access and data storage (DB_procedures, myDataSet) to user interface handling (RibbonST, Dashboard) to portfolio calculations (PortfolioManagement).

In essence, RibbonST drives the high-level user actions (select DB, open sheets), Main orchestrates the core steps (connect, load data, compute metrics), Dashboard provides the interactive buttons, DB_procedures and Dataset_Procedures handle all the database logic, PortfolioManagement does the heavy lifting for portfolio math, and Transaction encapsulates the details of a single trade. This structure allows a beginner to see how data flows from a SQL Server table all the way to Excel, with appropriate calculations and validations in between.