2024-04-16 Brazilian Real News
2024-04-15
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
Overall Trend in Exchange Rates
From the brief review of the data, it seems that the exchange rates fluctuate over time with both periods of increase and decrease observed. To make a comprehensive understanding, we would need to plot the data over time and calculate the overall mean or trend line. This step will provide more insights into the exact nature of these fluctuations.
Seasonality and Recurring Patterns
Identification of any seasonality or recurring patterns in the dataset requires detailed time series analysis, which often involves decomposing the series into its component parts (trend, seasonal, and residual). From the information provided, it isn't immediately clear if there are specific recurring patterns in the exchange rates. However, oscillations suggest there may be patterns hidden within the data. Further analysis with advanced statistical methods such as Fourier analysis may be beneficial in uncovering any underlying seasonality.
Outliers in the Data
Outliers, or data points that are significantly different from others, can often be identified by visual examination. Moreover, statistical tests such as the Z-score or the IQR method can quantify the extent of these outliers. From the raw data, it's hard to tell if there are any apparent outliers.
In conclusion, while the raw data provides some high-level insights, more thorough statistical analysis would provide a more profound understanding of the overall trends, any seasonality, and the presence of outliers in the dataset. Please note that this analysis does not consider potentially influential external factors such as market events or key financial announcements.