2024-04-26 Guinea Franc News
2024-04-25
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Comprehensive Analysis of the Time Series Data
On an initial observation, the entire dataset reveals an extremely consistent exchange rate with the value of 0.00016 across the given timeframe. It appears that the rate remains entirely unchanged from the start until the end, and there does not appear to be any variation, whether during different times of the day or on different dates.
1. Understanding the Overall Trend of Exchange Rates
Given the consistency observed in the dataset, we can conclude that the exchange rates trend largely remains stable throughout the given timeframe. There is no visible increase or decrease in the rate; it is maintained at a steady 0.00016. This pattern is unusual for typical exchange rate data, which usually fluctuates due to a variety of factors such as supply and demand, inflation rates, interest rates, etc.
2. Identifying Seasonality and Recurring Patterns
Since the exchange rate is consistent throughout, there is no discernible seasonality or recurring pattern. The exchange rate does not alter as per different times of the day or month. This absence of seasonality itself can be considered a pattern in this case.
3. Noting any Outliers
Given the constancy of the exchange rate, no outliers can be identified within this dataset. For a value to be considered an outlier, it would need to deviate significantly from this consistent rate. But since all the rates recorded remain at 0.00016, there are no such deviations observable in the data provided.
In conclusion, for the given dataset, the exchange rates remain incredibly stable with no observable fluctuation, seasonality, or outliers present.