2024-03-12 Burundi Franc News
2024-04-23
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the overall trend of the exchange rates
The given dataset consists of exchange rates for BIF. Throughout the data, the exchange rate is consistently at 0.00048. Therefore, we can say the exchange rate remains extremely stable. This trend does not present any instances of significant increases or decreases in the currency's value. It's interesting to note such a high level of stability in the financial market, as it's typically characterized by fluctuations.
2. Identifying seasonality or recurring patterns
Seasonality or recurring patterns are typically identified within a dataset by spotting regular intervals of increases and decreases. However, in this dataset, the value of the exchange rate remains the same for the entirety of the data. Therefore, there are no visible patterns of seasonality or recurring fluctuations in the exchange rate.
3. Outliers and Unexpected Instances
During analysis of the data, no outliers were identified. An outlier in this case would typically involve a significant spike or drop in exchange rate, differing from the norm. This dataset's exchange rate maintains absolute consistency, so there are no instances where the rate differs significantly from the average. A lack of volatility such as this is quite rare in financial datasets.