Afghani Forecast

Not for Invesment, Informational Purposes Only

Summary of Last Week

  • Opening:
  • Closing:
  • Difference of Opening & Closing:
  • Daily High:
  • Daily Low:
  • Difference of Daily High & Low:

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

Summary of Yesterday

  • Opening:
  • Closing:
  • Difference of Opening & Closing:
  • Daily High:
  • Daily Low:
  • Difference of Daily High & Low:

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

Summary of Yesterday

  • Opening:
  • Closing:
  • Difference of Opening & Closing:
  • Daily High:
  • Daily Low:
  • Difference of Daily High & Low:

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

Summary of Yesterday

  • Opening:
  • Closing:
  • Difference of Opening & Closing:
  • Daily High:
  • Daily Low:
  • Difference of Daily High & Low:

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

Summary of Yesterday

  • Opening:
  • Closing:
  • Difference of Opening & Closing:
  • Daily High:
  • Daily Low:
  • Difference of Daily High & Low:

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

1. Understanding the Overall Trend of Exchange Rates

Based on the provided data, the overall trend of exchange rates of AFN over the timeframe is gradually descending. The highest recorded exchange rate was 0.01995 at the beginning of the dataset which then declined to a rate of 0.01992 by the end of the dataset. While the difference is quite small, from a forex perspective, this trend is significant as forex deals with large amounts. This means that over time, the value of the currency has slightly depreciated.

2. Identifying Seasonality or Recurring Patterns

An analysis of seasonality or recurring patterns in the exchange rate data shows that the AFN exchange rate fluctuates slightly within a very closed range, indicating a stable trend. However, a key point to note is that there are repetitive fluctuations in the data with a slight decrease in the rate after certain intervals of time. However, due to the limited scope of data and no information about weekends or holidays, it is difficult to determine if these fluctuations constitute a regular pattern or seasonality.

3. Noting Outliers

The given dataset doesn't show any significant outliers. The values don't vary excessively from the mean and remain relatively stable over the course of the dataset. Given the context of foreign exchange markets where variations can be drastic, the observed variations in this dataset are very minimal and can be considered normal. However, for a more precise identification of outliers, a statistical outlier detection method, such as the Z-score method or the IQR method, may be necessary.

Summary of Yesterday

  • Opening:
  • Closing:
  • Difference of Opening & Closing:
  • Daily High:
  • Daily Low:
  • Difference of Daily High & Low:

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

Summary of Last Month

  • Opening:
  • Closing:
  • Difference of Opening & Closing:
  • Daily High:
  • Daily Low:
  • Difference of Daily High & Low:

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

Recent News