2024-04-19 Belarussian Ruble News
2024-04-18
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Overall Trend Analysis of Exchange Rates
The given dataset seems to have stable exchange rates throughout the period of time as there is no change in the exchange rate value of 7.0E-5. Therefore, the trend can be described as flat or stable. This implies that the currency is neither appreciating nor depreciating against the other currency within the time period given.
2. Seasonality and Recurring Patterns in Exchange Rates
Seasonality refers to periodic fluctuations that occur regularly based on a seasonal factor. Since the dataset provided hasn't shown any deviation or variation in the exchange rate over the time span, we cannot identify any seasonality or recurring patterns in the data. The value remains uniform, which signifies that there are no noticeable peaks, troughs, or patterns that repeat over the period.
3. Outliers in the Exchange Rates Data
An outlier is an observation that lies an abnormal distance from other values in a dataset. In this time-series financial data for the specified period, it's observed that the currency's exchange rate has been consistently maintained at 7.0E-5. Thus, there are no occurrences or instances where the exchange rate deviates or differs significantly from the persistently identical data. In other words, there are no outliers in this particular dataset.
Please note that without considering external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports, this analysis offers a simple view of the trend, seasonality, and outliers within the given dataset. For a robust and comprehensive analysis, these factors should ideally be considered as they can significantly impact the financial market.