2024-04-26 Djibouti Franc News
2024-04-25
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 Analysis
The dataset presented consists of time series data showing the DJF exchange rate from 2024-04-25 00:00:02 to 2024-04-25 23:55:02. The DJF exchange rate started at a value of 0.0077 earlier in the day. For most of the early hours, it remained stable at this point. A slight decrease is observable midway, with rates dipping to a minimum of 0.00767, but the values returned to 0.0077 later on. Therefore, the overall trend within this 24-hour period was relatively stable, but a small dip occurred midway.
Seasonality and Recurring Patterns Analysis
When looking into the occurrence of seasonality and patterns within the data, it appears that there isn't any obvious seasonality within this 24-hour period. The data is steady in the first half, decreases slightly during the mid-hour of the day and then rises again. This may suggest a possible intra-day pattern, but as we only have a single day's data, it's difficult to claim any recurrent daily pattern with certainty. More data would be required for a wholesome seasonality analysis.
Outliers Identification
Given that the exchange rate changes minutely and smoothly over the period, it seems that there aren't substantial outliers — instances where the rate deviates significantly from the surrounding data. However, without a clear definition of what a 'significant' deviation is in this context, or a larger dataset to compare to, identifying outliers is challenging. For this specific range of data, we could say that any values not within the 0.00767 to 0.00771 range could be considered unusual or 'outlier' values.
Conclusion
The DJF exchange rates in the given 24-hour period are relatively stable, with minor intra-day changes. No obvious seasonality or recurrent pattern is visible within this day. Possible outliers would be rates significantly beyond the minimum and maximum range for this period. However, as a caveat, it should be noted that since the analysis is based on one day's data only, the findings might not be applicable for a longer period or against specific consequences of significant economic events.
