2024-05-14 Brazilian Real News
2024-05-13
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 of the exchange rates
Analysing the data set, it can be observed that the exchange rate has a marginal variability over the given time period. There is not a defined linear trend of continuous increase or decrease in the exchange rate. It appears, the rate starts at around 0.26586, it fluctuates up and down but generally stays around the same value and finally ends at 0.26535. This indicates that the exchange rate remained somewhat stable for the duration.
Seasonality or recurring patterns
Regarding seasonality or recurring patterns, due to the high frequency of data (every 5 minutes) and the short duration of time, it is difficult to determine if there is an obvious daily or hourly pattern. Typically, the identification of seasonality would require a longer series of data and lower frequency observations (like daily, monthly, quarterly). However, we can see some degree of cyclical variability in rates - potentially influenced by trading hours. Detailed deeper analysis with more robust data-set would be required to confirm this.
Noting any outliers
In this high frequency intra-day data, there aren't any obvious outliers or extreme values which significantly deviate from the other observations. All the variations, though they exist, are within a reasonable range around the same average level. The maximum value is 0.26662 and minimum is 0.26497. These do not vary significantly from the roughly 0.265 average. Further statistical analysis would be able to identify if there are any statistically significant outliers in this dataset.
In conclusion, the BRL exchange rate over the provided time period appears to have remained rather stable, with slight cyclical variability, but without significant outliers. A more extensive data set would provide a clearer picture of any trends or patterns, including seasonality and the occurrence and significance of outliers.