Structuring Macroeconomic Calendar Data in SQLite with MQL5
Summary
The article explains how to organize economic calendar information in a SQLite database from MQL5. It introduces the platform’s native database functions and a reusable database class for opening databases, creating tables, issuing queries, and working with results. Examples show how to create a database, define a countries table, and populate it with calendar country data, including continent and currency details.
The later examples apply the same structure to economic events and demonstrate combining queries to make retrieval easier. The article’s evidence is implementation-oriented: sample scripts and printed table rows illustrate the workflow, rather than testing a trading strategy or measuring returns. Its focus is database design and access, not assessing how macroeconomic releases affect prices. The author suggests macro data may supplement other inputs, including neural-network data, while cautioning that macro parameters alone may not produce a strong strategy.
Key ideas
- SQLite can be accessed directly from MQL5 through native database functions.
- A reusable database class can group operations for tables, queries, views, and database handles.
- Calendar country records can be stored in a table with fields for identifiers, names, currencies, and regions.
- Transactions help manage bulk insertion of calendar data.
- The examples demonstrate data organization and retrieval, not evidence of a profitable trading method.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.