2024-04-30 Dobra News
2024-04-29
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
Comprehensive Analysis of Provided Time Series Data
Upon examination of the given dataset, it's noticed that all data points have a constant value, specifically, 7.0E-5. This makes the task of performing a comprehensive analysis slightly challenging as no variation is observed across different timestamps. Therefore, evaluating the complexity of a time series such as trends, seasonality, and outliers usually associated with fluctuating data isn't feasible in this scenario. Nevertheless, a few general observations can be derived from this constant dataset.
Understanding the Overall Trend
The overall trend in exchange rates for the provided dataset is apparent: it's constant throughout the entire period. There's no sign of an increase or decrease in rates at different timestamps, and the rate doesn't show any fluctuation or volatility. It remains stable at 7.0E-5, suggesting that the currency represented by this rate is neither appreciating nor depreciating against the currency it's paired with during this period.
Identifying Any Seasonality or Recurring Patterns
Due to the uniform nature of the dataset, no seasonality or recurring patterns can be observed. As the exchange rate is consistent at all provided timestamps, the usual time series components such as seasonal fluctuations, cycles, or repeated patterns do not occur in this dataset.
Noting Any Outliers
Since the exchange rate is consistent for all recorded timestamps, there are no outliers in the provided data. An outlier would typically represent an exchange rate significantly higher or lower than the general trend. However, in this case, since there's no variation, an outlier is impossible.
Conclusion
This dataset is unique because of the lack of variability within it. When we analyze a typical financial time series, we usually expect to see an exchange rate that fluctuates and varies over time. In this case, we might consider factors such as economic indicators, geopolitical events, or changes in supply and demand. This constant dataset might represent a fixed exchange rate regime, where a currency's value is matched (or pegged) to the value of another single currency or to a basket of other currencies, or to another measurable value (such as gold), and is strictly maintained by government policy.