2024-05-01 Egyptian Pound 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
Understanding the Overall Trend
Upon reviewing the data, it appears that the exchange rates' overall trend was relatively stable during the period under consideration. From the start of the timeline at 2024-04-30 00:00:02 with an exchange rate of 0.02855 till 2024-04-30 23:55:02, where the exchange rate was 0.02876, there was a slight upward movement. However, this movement was very gradual and fluctuated within a narrow range (0.02855 and 0.02879). Therefore, it might suggest that the exchange rates did not show any dramatic increase, decrease or volatility during this period. The relative stability in the exchange rates might suggest a stable economic environment during this period or absence of major events that might impact currency value.
Seasonality and Recurring Patterns
With regards to seasonality or recurring patterns, the data does not show an obvious daily pattern on first observation due to the small timeframe covered. However, there seems to be minor fluctuations at certain times which might be due to regular market activities during the opening or closing hours, but additional data would be needed to confirm this. Further analyses with methodologies like time series decomposition or autocorrelation could provide more insights and detect any subtle seasonality or recurring patterns that are not noticeable at first glance.
Outliers
There were no major outliers in the dataset, given the rate largely continued within a very predictable and narrow range. There were slight peaks and troughs, such as the highest exchange rate at 0.02879 and the lowest at 0.02855, but these small peaks and variations are common in exchange rates and do not represent drastic fluctuations. All these points lie within a close range which doesn't suggest the presence of extreme values or instances which diverged greatly from the overall trend or pattern. Therefore, it can be concluded that no obvious outliers within the data were found.
It is critical to note that while time series data can provide important insights about trends, patterns, and outliers, they are also inherently limited in the sense that they can't account for contextual factors; such as changes in economic policies, global market trends, or other disruptive events unless additional external data is available.