2024-05-17 Congolese Franc News
2024-05-16
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 of the Exchange Rates
The exchange rate data provided indicates a remarkably stable rate of 0.00049 over the entire period sampled. These values hint towards a consistent trend in the exchange rates, with no appreciable increase or decrease discernible based on the values provided. This kind of stable trend is fairly uncommon in exchange rate data, which tends to fluctuate in response to a multitude of factors such as the economic performance of the related countries, geopolitical events, and public sentiments among others. In this case, the CDF exchange rate appears to be remaining steady at the 0.00049 mark.
Seasonality and Recurring Patterns
Given that the provided data maintains a constant value at all timestamps, there seems to be neither seasonality nor recurring patterns within the dataset. Usually, seasonality refers to periodic fluctuations in the data series that repeat over regular intervals - daily, weekly, monthly, etc. In this case, since the exchange rate remained at 0.00049 for the entire duration of the sampling period, we cannot discern any such periodic changes. Similarly, the identification of recurring patterns needs variability in data which isn't present in the dataset provided.
Outliers in the Data
An outlier is a data point that substantially diverges from other observations in a dataset. In this dataset, as the exchange rate remains consistent at 0.00049, we do not have any outliers because there are no recorded fluctuations. However, in a typical exchange rate dataset, an outlier might indicate significant economic event but these would need to be further investigated in order to confirm.
Given the remarkably steady nature of this exchange rate data, it might be worthwhile to double-check its source and collection methods. This could serve to ensure that the stable nature of this dataset is an accurate representation of the exchange rate's behavior during this period, rather than being the result of inaccuracies or errors in data collection.