2024-04-18 Rwanda Franc News
2024-04-17
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis of RWF Exchange Rates
The dataset provided is a time series data which shows RWF (Rwandan Franc) exchange rates at different timestamps. The data comprises a single day with hourly intervals, on the 17th of April, 2024.
1. Overall Trend
The provided data set reflects complete stability in the RWF exchange rate during the specified time frame. The value remains consistent at 0.00107 across the entire provided dataset. In time series analysis, this is referred to as a 'stationary' time series, where statistical properties such as mean, variance, autocorrelation, are all constant over time. Hence, for this particular dataset, there is no discernible trend in the exchange rates - neither increasing, decreasing, nor fluctuating.
2. Seasonality or Recurring Patterns
Given that the values remain consistent throughout the entire time series, there is no visible seasonality or any recurring patterns. Seasonality is typically observed as a repeating pattern over a fixed period of time pertaining to regular and predictable changes that occur every calendar year, such as weekly, monthly, or quarterly. However, in this data set, the lack of variability in the values across different timestamps means that no seasonality can be discerned.
3. Outliers in the Exchange Rates
Outliers are extreme values that deviate from other observations in the data, they may indicate a variability in a measurement, experimental errors or a novelty. In this case, since the exchange rate is stationary and consistent at 0.00107 across all timestamps, there are no outliers present within this dataset. Every single observation falls on the mean value, hence there's no deviation or error, making this dataset outlier-free.
In conclusion, the provided data for one day, from the 17th of April, 2024, indicates a consistently stable exchange rate of 0.00107 RWF. This consistency can be attributed to several factors and to gain deeper insights, we would need additional data to see if this consistency is persistent over an extended period or if it is a unique state for the specific time frame captured.
Note that since specific external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, etc. have not been considered in this analysis, their potential influence on the exchange rates has not been accounted for.