2024-05-06 Kwacha News
2024-05-05
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
Overall trend of the exchange rates
By reviewing the given dataset, it's observed that the exchange rates have generally displayed a subtle increase over time. The exchange rate started at 0.00078 and ended at 0.00079, indicating a very slight upward trend over the period. However, this trend is quite modest and there are frequent periods where the exchange rate remains stable for some time. Despite minor fluctuations in the rate, it predominantly hovers around a band of 0.00078 to 0.00080.
Seasonality or recurring patterns
In terms of seasonality and recurring patterns, the given dataset does not show any apparent seasonality at a first glance. Exchange rates seem to fluctuate randomly and there doesn't appear to be a certain pattern repeating at consistent intervals. Furthermore, the dataset doesn't cover a sufficiently long period to offer insights about potential seasonal variations or cyclical trends. It would require additional data stretching over longer periods to accurately determine if there is any seasonality.
Identification of Outliers
Regarding outliers, the exchange rates given fluctuates within a very narrow band. Therefore, it's challenging to identify precise outliers based only on the provided data. The rates might show negligible deviations occasionally, but none stand out as major drastic departures from the common range of values observed. Further statistical analysis may be required to rigorously detect any outliers, including algorithms designed to identify anomalies within time series data.
It's important to note that financial markets are extremely complex and have a number of factors influencing them. Therefore, while the dataset has been analyzed solely on the merits of the numbers provided, further clarity about the fluctuations could be obtained by considering external factors such as economic indicators, key financial news and reports, market opening/closing times, or weekends and holidays.