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Classifying Economic Calendar Events for Currency-Pair Analysis

Article MQL5 articles
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Summary

The article proposes organizing economic calendar observations with database tables and category-theory mappings. Its motivation is that calendar events differ in units, formats, geography, and meaning: some publish numeric indicators, while others are textual, and events from different countries may not be directly comparable. The author argues that ordinary filters by event, country, or currency leave ambiguity when constructing comparable inputs for a currency pair.

The proposed schema separates events, currencies, countries, event types, and currency-pair values, then represents their relationships as mappings. A universal-property construction is presented as a way to combine event information and estimate a pair-level value when one currency has a new release while the other side's latest observation is older. An MQL5 example illustrates the data retrieval and mapping approach; the described test uses PMI events and equal weighting for the two currency inputs.

This is a conceptual classification and implementation proposal rather than a validated trading strategy. The article does not provide a price-prediction evaluation or evidence that its combined values improve trading outcomes. Choices such as event comparability, weighting, and treatment of stale readings still require justification and testing.

Key ideas

  • Calendar releases vary in units and format, so raw values are often unsuitable for direct cross-country comparison.
  • A schema can organize event, currency, country, and pair-level observations with explicit relationships.
  • Category-theory mappings offer a formal way to compose individual event values into a currency-pair value.
  • The proposed construction can estimate a pair value when one currency has a newer release than the other.
  • The article illustrates the idea with a PMI example but does not validate predictive or trading performance.

Tags

ForexEvent-drivenStatisticsMachine learning

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