2024-05-21 Russian Ruble News
2024-05-20
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Data Analysis Process and Result
In order to provide a comprehensive analysis of the given time series data, each entry should be observed over the period given (timestamp). The dataset ranges from 2024-05-20 00:00:02 to 2024-05-20 23:55:02, a total span of approximately 24 hours.
Overall Trend
Upon analysis, the trend slowly increases from the start at 0.01497 to a peak at 0.01511 toward the end. This indicates an overall rise in exchange rates throughout the given dataset. It has fluctuated a little between these values, but the general trend seems to be upwards.
Seasonality or Recurring Patterns
No clear seasonality or repeating patterns were identified over the span of 24 hours. The exchange rate doesn't appear to follow a predictable pattern based on the time of day or any specific hourly intervals.
Outliers
In this dataset, no significant outliers were detected. Most of the fluctuations in exchange rate appear to be minor and within a set range. The exchange rate didn't drastically differ from the trend at any given time, which indicates a relatively stable rate over this 24-hour period. The dataset is quite dense with its fluctuations being small, hence there is no significant outlier in this dataset.
Conclusion
In conclusion, throughout the 24-hour span, the RUB exchange rate recorded a tiny increment. However, it did not display any noticeable pattern of seasonality, nor did any major outliers emerge from the data. This suggests that in this particular scenario, the exchange rate remained relatively stable and predictable.
Note: As per the given instructions, factors such as the opening and closing of markets, weekends/holidays, and the release of key financial news were not taken into account in this analysis. If such considerations were included, they might potentially generate a more nuanced and context-aware understanding of the observed fluctuations in the exchange rate.
