2024-05-13 Cabo Verde Escudo News
2024-05-12
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis
The dataset provides a time series data about changes in the exchange rate (CVE) over time. Let's analyze the data based on the provided goals:
1. Understanding the Overall Trend of The Exchange Rates
By analyzing the given timestamped data for the CVE exchange rate, there does not appear to be a consistent and clear upward or downward trend. The exchange rate seems to fluctuate within a narrow range, suggesting a sense of relative stability. However, we could have seen multiple minor fluctuations within this overall stableness, where there are instances of both increases and decreases.
2. Identifying any Seasonality or Recurring Patterns
Upon analyzing the dataset, it's not immediately apparent if there exists any defined seasonality or recurring pattern due to the frequency and granularity of fluctuations in the exchange rate. It's important to note here that further statistical analysis like decomposition of the data in trend, seasonality, and residuals would provide a more clear-cut view on this matter.
3. Outliers Identification
Observing the data, one noticeable outlier can be seen on 2024-05-07 10:00:03, where the exchange rate dropped significantly to 0.0123. Other than this point, most exchange rates hover around the 0.013 level. More advanced statistical techniques such as standard deviations or quartiles could provide us a broader picture of the outliers.
While not needed for this request, for a superior understanding of the time series pattern and potential predictions, considering external factors such as market opening/closing hours, weekends/holidays, or financial news releases could enhance the analysis and forecasting precision.