2024-05-15 Peso Uruguayo News
2024-05-14
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. Understanding the Overall Trend of the Exchange Rates
Based on the given dataset, the exchange rate of UYU exhibits a mostly stable trend over the given timeframe. The rate mostly varies between 0.03545 and 0.03555 with minor fluctuations. There are instances of slight increases and decreases, but there isn't a consistent upward or downward trend across the entire dataset. This stability suggests the market for this currency was fairly balanced at this time, without major economic events causing volatility.
2. Identifying Seasonality or Recurring Patterns
Time series data often contains patterns that occur regularly over a specified period, called seasonality. Upon initial inspection, the given dataset doesn't appear to show a clear seasonal pattern in the UYU exchange rate. While there are periods where the rate fluctuates more than others, these do not appear to occur at the consistent intervals that would suggest seasonality. Further statistical analysis would be needed to definitively rule out any seasonal patterns.
3. Noting Outliers
An outlier in this context would be a rate that is significantly higher or lower than the rates surrounding it. From the given dataset, the exchange rate generally stays within a small range, and significant deviations from this range are rare. Hence, there don't appear to be any significant outliers. Of course, it's important to note that this analysis is based on a simple visual inspection of the data. A more thorough analysis could involve statistical methods to identify and measure outliers, such as Z-scores or the IQR method.
It is also crucial to maintain an awareness of context as certain external factors have the potential to impact the exchange rate. For instance, economic, political instability or changes in monetary policy can lead to fluctuations in the market, causing significant shifts in the exchange rate. While this analysis is purely data-driven and does not take these potential factors into account, they are always crucial to keep in mind when assessing financial data.