2024-04-29 Brazilian Real 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
Based on the analysis of the given data, here are the following observations made:Understanding the overall trend of the exchange rates
From the data provided, it can be pointed out that there is a general decline in the exchange rate from 0.27021 on 2024-03-29 to 0.26698 on 2024-04-26. However, it's important to note that the fluctuating nature of the exchange rate which means it increases and decreases at several points within the data set.
Identifying any seasonality or recurring patterns in the changes of exchange rates
- On first glance, the data does not indicate a distinct recurring pattern in the exchange rate. The fluctuations occur somewhat randomly, with no apparent pattern or seasonal influence that could be traced from the data provided. The smallest recorded rate is 0.26110 (observed two times on 2024-04-16), while the highest recorded rate is 0.27151 on 2024-04-09. There is no clear pattern to suggest which dates or times would have lower or higher rates based on this information.
- Further time-series analysis is necessary to determine any seasonality or cyclical patterns.
Outliers in the data
The major increases or drops in the exchange rate could be considered as outliers, as these instances represent a substantial shift away from the dominant downward trend. For example, the major increase from 0.26122 to 0.26336 on 2024-04-19 (an increase of 0.00214) could be perceived as an outlier given the surrounding data. Likewise, the significant drop from 0.27001 to 0.26851 observed from 2024-04-01 to 2024-04-01 (a decrease of 0.0015) is another such outlier. However, as observed from the trend, these fluctuations are part of the inherent nature of exchange rates and fit within the general behavior of the data set.
Note
This interpretation assumes there are no external influences on the exchange rate and only considers the changes in rate as they occur in the data set. The exchange rate is subject to a multitude of factors not encompassed in this analysis, such as economic events, geopolitical news, and sector insights, among others.