HDTFA: Historical Data Test Forecast Accuracy
Historical Data Test Forecast Accuracy (HDTFA)
represents the average accuracy of the forecasting
methods when tested against historical exchange rate
data for a particular currency.

For example, a HDTFA of 10 for a currency forecast
suggests that the exchange rate will be, on average,
within 10 currency units of the forecast. So, an exchange
rate forecast of 100 with a HDTFA of 10 suggests that
the currency will, on average, be between 90 and 110
during the target month. (100 - 10 = 90; 100 + 10 = 110)
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