2024-05-01 Belarussian Ruble News
2024-04-30
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Before diving into a comprehensive analysis of the data, there seems to be a misunderstanding in the information provided. All provided data values are constant at 7.0E-5 without any variations, which makes it challenging to make any meaningful analysis, identify trends or seasonality, or detect outliers. Typically, for a time series analysis to be significant, there should be fluctuations in the variable under consideration (in this case, the exchange rates) over time. Currently, with all values at 7.0E-5, the trend line would be a straight line, and there would be no seasonality or outliers to comment on.
However, if we had a normal dataset with the variable fluctuations over time, here would be the three main steps of the analysis:
Understanding the Overall Trend
As part of the analysis, the first step would be understanding the overall direction in which the exchange rate is moving. This could be identified by plotting the data and visually inspecting the graph or calculating the slope of the trend line. This would help us understand if the currency is generally appreciating, depreciating, or remaining stable.
Identifying Seasonality
The next step would be to identify any recurring patterns or cycles in the exchange rates. Given the time-stamped nature of the data, it would be possible to explore patterns on various time scales - daily, weekly, monthly, and so on. For instance, if exchange rates are consistently higher in the morning hours compared to the evening hours, that would be a form of daily seasonality.
Detecting Outliers
Outliers or anomalies in the data can significantly distort our analysis and lead to misleading conclusions. These are data points that significantly deviate from the overall pattern or trend of the data. Once all the normal patterns have been considered and accounted for, any remaining points that significantly lie outside the normal range (such as a sudden spike or drop in exchange rates) could be considered outliers and would need further investigation.
Normally, this analysis would also consider various external factors like market opening/closing hours, weekends/holidays, or the release of major financial news or reports. However, as per the instructions, they have not been factored into the data analysis. Also, please note that no forecast for future rates has been made as per the instructions.