2024-05-22 Russian Ruble News
2024-05-21
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analyzing this dataset requires breaking it down into several components. These components include the overall trend, any repeating patterns and potential outliers. Once the data has been categorized this way, it’s then possible to dive deeper into it and glean additional insights.
1. Understanding the Overall Trend
The first step in understanding this dataset involves examining the overall trend. The overall trend refers to whether an asset’s price consistently goes up, goes down or stabilizes over a certain period. Looking carefully, the dataset suggests that the exchange rate generally remains steady. The rate begins at 0.0151 and ends at 0.0151, with only slight fluctuations throughout the period. Though there are some periods of a slight increase or decrease, the overall exchange rate appears to be relatively stable.
2. Identifying Seasonality or Patterns
A closer examination of the dataset does not reveal any obvious recurring patterns or seasonality within the 5-minute intervals between each timestamp. The most frequent rate points are 0.0151, 0.01509, and 0.01511, with the rate oscillating around these points throughout the period.
3. Spotting Outliers
An outlier is a data point that significantly deviates from other data points in the dataset. In this case, any sudden and significant changes in exchange rates would constitute an outlier. While there are slight fluctuations in the exchange rate throughout the period, none of these movements are significant enough to be considered outliers. The exchange rate generally stays within a very narrow band, with the greatest change being a decrease from 0.0151 to 0.01508. This suggests that the exchange rate is not subject to wild fluctuations over short periods.
To conclude, this dataset shows a largely stable exchange rate for the RUB over the examined period. No clear seasonality or patterns are identifiable within this dataset, and there don't appear to be any significant outliers. All of these factors suggest that the RUB was relatively stable during this period.
