2024-05-07 Gourde News
2024-05-06
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
Understanding The Overall Trend of Exchange Rates
The time series reveals that the exchange rate shows slight fluctuations throughout the data set. The value starts at 0.01034 on 2024-05-06 00:00:02, and the value is still close to this endpoint at 0.01031 on 2024-05-06 23:55:02.
Although the values slightly dipped to 0.01028 at certain points (most notably around the timestamps 2024-05-06 09:05:03, and 2024-05-06 09:15:03), the rates mostly hovered around 0.0103 throughout the entire series. So, the different exchange rates can generally be considered stable during this particular period.
Identifying Seasonality Or Recurring Patterns
With the limited dataset provided, it is a bit challenging to identify a clear seasonal or recurring pattern in the changes of exchange rates. However, by plotting the data, minor periodic fluctuations were observed. The exact cause of these fluctuations would require further analysis, possibly involving data decomposition. In time series analysis, decomposing the data into trend, seasonal, and residual components might be useful in identifying any underlying patterns more accurately.
Noting Any Outliers
Looking at this dataset, there doesn't appear to be any significant outliers, at least in terms of severe deviations from the general range of values. An outlier is usually defined as a value that lies an abnormal distance from other values. In this case, the values all seem to remain within a close range from each other. There isn't any instance of the exchange rate that differs significantly from what would be expected based on the trend.
In conclusion, it is vital to remember that financial data is complex and influenced by numerous factors. For a truly comprehensive analysis, factors beyond the dataset such as macroeconomic indicators, geopolitical events, and other market variables should be considered.