2024-04-18 Cabo Verde Escudo News
2024-04-17
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis of the Data
After analyzing the data set, here are some key observations:
Overall Trend
From the initial analysis, it is observed that the exchange rates have shown a relatively stable trend. While there have been fluctuations within certain time intervals, there is no prominent upward or downward trend observed over the overall period shown in the dataset. The rates primarily have varied between 0.0133 and 0.0134. This indicates a largely stable exchange rate situation over the duration of the data.
Seasonality and Recurring Patterns
Based on the dataset given, it is challenging to detect any distinct seasonality or recurring patterns. This is because the data is relatively stable, and we don't observe any regular upward and downward movements that could suggest seasonality. However, with further data and additional context-specific information, more subtle patterns might be uncovered.
Outliers
Throughout the time period observed, the exchange rates have shown a slight variance, but no substantial deviations have been noted. There are no notable outliers in the provided dataset. The exchange rates neither rise nor fall significantly at any given point, which would have signified an outlier. This apparent lack of outliers could also indicate the presence of robust market dynamics and regulatory practices keeping the exchange rates in check.
In conclusion, understanding financial time-series data and interpreting trend and seasonality helps to form a comprehensive picture of the market's behavior. However, it's essential to remember that while historical data can highlight patterns and trends, it does not guarantee future performance in the ever-changing world of financial markets.