2024-04-29 Russian Ruble News
2024-04-28
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the Overall Trend
Taking into account the provided dataset, it is observed that the fluctuation in exchange rates (represented here by the Russian Ruble), tends to maintain between the rates of 0.01457 and 0.01484. However, a deeper look at the individual points reveals a mild level of volatility. At a higher level, we see some falls and rises in certain areas, the general overall trend appears to be more or less stable, without any significant escalating or descending progression over time. At first glance, the exchange rate trend does not exhibit any sharp or drastic increases or decreases.
2. Seasonality and Recurring Patterns
As far as this dataset demonstrates, there does not appear to be any strong indicators of seasonality or recurring patterns in the changes of exchange rates. Testing for seasonality would generally imply a longer dataset to identify yearly, quarterly, or monthly repetitions. However, upon careful observation we can notice that minimal fluctuations do occur throughout the period, suggesting that there might be daily and hourly trends within this time frame. To pinpoint this with higher accuracy, further analysis and a larger dataset might be required.
3. Outliers and Unexpected Variation
In this dataset, there don't appear to be any significant 'outliers', that is, values that are unusually high or low compared to the general trend of the data. The exchanged rate seems to fluctuate within the relatively confined range as mentioned before. However, without a clear definition of what should be considered significantly divergent, this conclusion is generally subjective.
Overall, while there is a small variation in daily rates, the data provided does not signpost to any specific trend reversals, confirm any seasonality or detect any clear outliers. Further in-depth data and analysis would be required for a more comprehensive interpretation of this foreign exchange time-series data.
