Building a MetaTrader 5 Trade Journal and SQL Analytics Dashboard with SQLite
Summary
The article outlines a local SQLite workflow for recording and reviewing algorithmic trading activity inside MetaTrader 5. It proposes separate tables for deals, strategy signals, and economic or system events, with indexes on commonly queried fields such as symbol, strategy identifier, and time. Trade records can then be joined with signals or events to examine strategy behavior in context.
It also describes using parameterized inserts and database transactions to record data, and SQL queries to calculate measures such as win rate, profit, drawdown, and results by symbol or strategy. The intended output is a dashboard displayed in the terminal, reducing manual exports and spreadsheet work. The article provides schema and implementation examples, but the supplied text is truncated through parts of the insertion and analytics discussion, and it reports no measured performance comparison or evidence that the workflow improves trading returns. The design is presented as a practical starting point that can be expanded to suit different analysis needs.
Key ideas
- A local SQLite database can store trades, signals, and events for analysis within MetaTrader 5.
- Separate tables keep distinct record types organized while allowing related data to be queried together.
- Indexes on frequently searched fields can help speed up analytical queries.
- Prepared statements and transactions are presented as safer and more efficient ways to insert records.
- An in-terminal dashboard can display updated strategy statistics without routine spreadsheet exports.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.