2024-05-17 Belarussian Ruble 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
Data Overview
The data set provided contains the value of a specific exchange rate (BYR) at different time points. Particularly, the data spans over a 24-hour timeframe on May 16, 2024. The exchange rate value is consistently reported as 7.0E-5 across the entire dataset.
Trends
As per the data provided, there does not appear to be a noticeable change, let alone a trend, in the exchange rate value. Throughout the entire day, the exchange rate stayed at an unchanging rate of 7.0E-5. Therefore, it can be stated definitively that there was no overall increase, decrease or fluctuation in the exchange rate on this specific day.
Seasonality and Patterns
Due to the constant value of 7.0E-5 across all timestamps, no significant seasonality or recurring patterns could be discerned in this data. Whether the exchange rate is typically stable or not cannot be confirmed based on the data from this single day alone. More comprehensive data which spans over a longer period would deliver deeper insights about seasonality and potential patterns.
Outliers
Considering that the BYR exchange rate value remains the same, it is impossible to identify any outliers in the given data set since there is no deviation from the mean. All data points are essentially identical, thus rendering the notion of outliers inapplicable to this specific dataset.
Additional Notes
The data set focuses on one specific day only. Therefore, it's not accountable for weekly seasonality patterns (weekends vs weekdays), monthly or yearly. As the value shows no variation, it's also impossible to deduce the impact of market opening/closing hours or significant financial news, if any.
For comprehensive analysis, a broader and more varied data set spanning a larger timeframe would be more beneficial. This allows capturing of potential trends, patterns, and the impact of various factors over time. Finally, as per the request, no prediction or forecast will be made using this data.