Backtesting Economic News Strategies with Historical Calendar Data

Summary

The document outlines a MetaTrader 5 framework for backtesting event-driven strategies using historical economic calendar data. A retrieval script collects past events over a selected date range and saves country, event, and timestamped value data in files that an expert advisor can read during testing.

The advisor loads those records, advances to the next upcoming event, and tracks when an event has passed. The text suggests using event filters, such as selecting particular releases, then adapting order logic—for example, trading a breakout or fading the initial move. It also proposes combining event timing with indicators and varying pending-order expiry by event impact.

The described workflow is to retrieve the calendar data first, then run the advisor in the platform’s visual strategy tester. This is an implementation outline, not evidence of a profitable strategy: it reports no test results and does not explain how the simulation handles release-time data availability, market reactions, spreads, slippage, or other execution constraints. Its claims of realism should therefore be treated cautiously.

Key ideas

• Historical calendar events are retrieved and stored before the advisor runs its backtest.
• The advisor loads event, country, and value data, then tracks upcoming and passed events.
• Event filters can target selected releases, while order logic can express different hypotheses.
• The document describes a testing workflow but provides no performance results or detailed execution assumptions.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.