2024-05-14 Djibouti Franc News
2024-05-13
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
Understanding the Overall Trend of the Exchange Rates
Upon review of the data presented, one thing of significance is the stability of the DJF exchange rate over this period of time. Starting from 0.00768 at the beginning of the observed period, the exchange rate remains constant mostly, then slightly drops to 0.00767, before returning to 0.00768 and so on. Notably, the exchange rate experienced slight increases at around 13:00 on 13th May, peaking at 0.00775 and dipped slightly to 0.00774 until it again stabilized at the end of the day. However, these changes are minimal and it indicates that the exchange rate has mostly been stable over the observed period.
Identification of Seasonality or Recurring Patterns
With regard to seasonality or recurring patterns, it's difficult to bright out any strong trend from the given data due to its short span. It covers just around 24h period. Normally, we need a longer time frame that spans over several months or years to effectively identify seasonal patterns or recurring changes. As it stands with the data, there is no discernible recurring pattern. That said, it's important to review patterns over a longer period of time for a more comprehensive understanding of the currency's behavior.
Identification of Outliers
Regarding outliers within the data, there seems to be a slight deviation from the norm at around 13:10. Here, the value increased to 0.00775 compared to the usual 0.00768. However, this deviation is not particularly significant and may fall within regular fluctuation. It remained in this state for a period before starting to decrease to 0.00774 and then coming back to the standard value of around .00768 towards the end. Overall, the deviation doesn't suggest any notable outliers within the data. It should be noted though to consider such slight changes in the future as it might lead to substantial differences when dealing with large volumes.
It's important to have in mind that this analysis covers only a single day and for more accurate understanding and prediction, longer time series data across different periods would be needed.
