2024-05-01 Afghani News
2024-04-30
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend of The Exchange Rates
From the data provided, we can notice a very slight incremental trend in the AFN exchange rate from the start towards the end of the period shown. The exchange rate at the start of the available data is 0.01887, which then increases slowly to approximately 0.01927 before slightly decreasing to 0.01888 by the end of the day.
Seasonality or Recurring Patterns
In terms of recurring patterns or seasonality in the exchange rates, it's hard to determine clear seasonal trends from the one day of data provided. However, one could observe that there seems to be minor fluctuation in the exchange rates throughout the day, with very slight peaks observed at approximately '2024-04-30 09:05:03 (0.01896)' and '2024-04-30 10:20:02 (0.01922)'. These micro trends denote the typical volatility inherent in forex markets, but would require more data to confirm if they speak to a daily recurrent pattern.
Outliers in Exchange Rate
Regarding outliers, or points where the exchange rate diverged significantly from the expected trend, there appears to be a few instances. Notably, the leap from '2024-04-30 09:50:03 (0.01895)' to '2024-04-30 10:20:02 (0.01922)', where the rate noticed sizable positive leap. The other significant change is when the rate dropped from '2024-04-30 19:40:03 (0.01927)' to '2024-04-30 20:15:02 (0.01889)' towards the end of the day. However, it's important to note that these movements, while significant relative to this particular day, might not be considered outliers in the wider context of forex market volatility.
Given the broad time scope and incessant volatility of forex markets, which could be influenced by an array of micro and macro-economic factors like inflation rates, political instability, economic performance indicators to name a few, compiling a solid analysis from a single day's data could prove quite limited. A dataset with a longer time frame would deliver much more depth in this analysis.