2024-04-17 Cabo Verde Escudo News
2024-04-16
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the overall trend of the exchange rates:
The data provided represents exchange rate values in periodic intervals across a period of a single day. By examining the data, we can observe a slight upward trend during the start, where the exchange rate increases to a peak but records relatively stable values towards the end of the data.
It's important to note that the changes are very minimal, indicating that the rates were generally stable throughout the day. The highest recorded value was approximately 0.01352, and the lowest was around 0.01328, showcasing a minimal varietal difference. However, the overall trend could be possibly construed as a mild increase trending towards stability.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates:
Regarding seasonality or cyclic patterns, given that the data spans only over a period of a single day, it is generally challenging to derive long-term seasonal trends. However, a recurring pattern noted was that the exchange rate would mostly remain stable for a phase, followed by a slight increase or decrease, and then stabilize again.
3. Outliers or instances where the exchange rate differs significantly:
In this given dataset, an 'outlier' is judged groundingly on the overall spread of the dataset. As the changes in exchange rates across the timestamps are very slight, it is challenging to distinctly mark out specific outliers from this data. However, a notable instance would perhaps be the dip to 0.01328, deviating from the general level of stability or increasing trend during the early parts of the dataset.
But then again, it's crucial to note that exchange rates are influenced by a myriad of factors and classifying these deviations as 'outliers' would require a more robust analysis considering more variables. As such, in the microcosm of this dataset, these deviations are fairly regular.
This analysis serves to provide an overall understanding of the exchange rate fluctuations at different timestamps. Nevertheless, for a more comprehensive analysis, considering other external factors like market opening/closing hours, weekends/holidays, or key financial news and reports might provide a clearer picture of the exchange rate dynamics.