2024-05-13 Afghani News
2024-05-12
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
1. Overall Trend of the Exchange Rates
The given dataset ranges from the year 2024-04-12 to 2024-05-10. It seems that the exchange rate generally decreases over time. Especially notable is the significant drop from 0.01932 on 2024-04-12 to 0.01893 on 2024-05-10. Aside from a few periods where the rates briefly increase, the overall trend is a gradual decline. While the decrease is not steady, the peak-to-peak comparison demonstrates a clear downward trend.
2. Seasonality or Recurring Patterns
Given the time frame presented in the dataset, it's challenging to confirm any seasonality or recurring patterns accurately. Such patterns often emerge over years rather than only months and there are a few points of interest. While the data do seem random at first glance, there is a trend where the exchange rate tends to decrease after reaching a relative high, then gradually increase to a new high. However, the pattern isn't strict enough to confirm as a reliable cyclic or seasonal trend.
3. Outliers in the Data
There are a few instances in the dataset where the exchange rate significantly drops and then rebounds in a relatively short time, differing from the overall declining trend. For example, the drop from 0.01902 at 18:00:02 on 2024-04-30 to 0.01889 at 22:00:02 on the same day, followed by a rebound to 0.019 at 02:00:02 on 2024-05-01, is relatively abrupt compared to other changes. However, it's important to note that exchange rates are influenced by numerous factors and can be highly volatile, hence these aren't necessarily outliers in the traditional sense.
To sum up, while the exchange rate for AFN generally decreases over this time period, it does exhibit some volatility with minor peaks and troughs along the way. It also shows slight tendencies towards recurring patterns, but not enough to make solid conclusions on seasonality. The outliers are mainly associated with the rapid oscillations, providing insights into the volatility of the rates.
