2024-04-25 Afghani News
2024-04-24
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overview of Exchange Rates
From the given data, we can observe that the exchange rates fluctuate between 0.01894 and 0.01934 over the observational period. The exchange rates remain fairly steady, with minor differences noticed in the rate over the given period. This suggests that the currency depicted by these rates is relatively stable.
Trend Analysis
Looking at the exchange rates, it does not show any specific increasing or decreasing trend over the day. The rates seem to fluctuate in a narrow range, but we can't deduce a clear upward or downward trend, suggesting the exchange rate remains stable. Several small fluctuations within the set range could be due to market dynamics, but without a larger context for these fluctuations, their meaning is unclear. We could infer that the stability of the exchange rate indicates possible regulations confining the range of fluctuations or the exchange rate being unaffected by major economic events during this period.
Seasonality and Patterns
Based on the data given, there's no apparent seasonality or regularity in the rates. The rates fluctuate around the same range all day without showing any cyclic or repetitive behavior. This lack of pattern suggests that the short-term factors affecting the currency were relatively constant throughout the observational period.
Outliers
As for outliers, we observe some spikes and slight deviations in the exchange rates at certain points, but these are not significant and do not deviate from the observed range of rates. However, these instances require further investigation to determine if they are resultant from data errors, impactful news events, or inherent market volatility.
Overall, the provided data indicates a stable afn exchange rate, without any clear upward or downward trend, a defined seasonal pattern, or significant outliers.
