Summary of Last Week
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
Analysis of Dataset
Before we begin our analysis, it's important to highlight that our examination is limited to the data provided and won't take into account external factors that might influence the exchange rate such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports.
Understanding the Overall Trend
After analyzing the time series data, it's apparent that the exchange rates of ZWL remain relatively stable throughout the period under observation, with minor fluctuations. The exchange rate starts at around 0.00418 and ends at approximately 0.00419, indicating minute, but not necessarily significant, appreciation in the value of the currency.
Seasonality or Recurring Patterns
When it comes to identifying any seasonality or recurring patterns in the changes of exchange rates, the data appears to exhibit no clear seasonal pattern. The fluctuations in exchange rates occur quite sporadically with no discernible rhythm, suggesting that the changes may be influenced by stochastic factors that are not captured within this dataset.
Outliers in the Dataset
Based on the dataset provided, there's mild instance where the exchange rate goes beyond expected limits. Most variations deviate very little from the predominant rate of 0.00418. However, on 2024-02-13, the rate reaches up to 0.00422, which, while not a substantial deviation, stands out in comparison to the overall stable trend across the dataset.
This data-driven analysis has tried to provide insights into the primary trends, patterns and outliers within the dataset. However, the complexity of currency exchange markets cannot be sufficiently explained solely with this data and so it is advised that the analysis be complemented with wider market information for deeper understanding.
This analysis relies only on the dataset provided and does not consider the potential impact of numerous external factors like market trends, financial policies, or geopolitical events. Providing more context or additional data could help generate a more comprehensive understanding of the ZWL exchange rate variation.