2024-05-21 Burundi Franc News
2024-05-20
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
Upon analysing the dataset, we can derive the following observations:
1. Trend Analysis
Reviewing the given dataset, we can observe that the exchange rates (BIF) remain fairly consistent throughout the dataset time, with a value of 0.00048 for the majority of the time before seeing a slight decrease to 0.00047 later on. This suggests that the overall trend of the exchange rates is essentially stable with a slight decrease towards the end of the period.
2. Seasonality or Recurring Patterns
Given the dataset provided, it does not appear to contain any noticeable pattern of seasonality or recurring fluctuations in the exchange rate values. The values for the exchange rate remain constant for the most part except for the slight decrease towards the end. It would be necessary to have a more long-term dataset to identify any potential seasonal effects or significant periodic fluctuations.
3. Outliers
The dataset has a consistent exchange rate of 0.00048 until it changes to 0.00047. Therefore, any value outside this range would be considered an outlier. However, in this dataset, no such outliers are found. Further, as it's a time-series data, the sudden change from 0.00048 to 0.00047 could be considered a mild outlier event as the rate stayed constant for a significant period before this change.
Please note that these observations are based purely on the data provided and do not take into account any real-world events, financial reports or market timings that could have potentially influenced these exchange rates.