2024-05-13 Kenyan Shilling 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
1. Understanding the Overall Trend of the Exchange Rate
Looking at the dataset provided, it can be seen that the exchange rates hover around value 0.01050 with slight fluctuations in both directions. There is no consistent increasing or decreasing trend throughout the period under consideration, indicating that the exchange rates have largely remained stable. However, minor peaks and troughs are observed, suggesting small fluctuations in the market.
2. Identifying Seasonality or Recurring Patterns
The dataset does not evidently show any repeating patterns or seasonality. The fluctuations in the exchange rates are relatively random, suggesting that they are influenced by a variety of factors. It is possible that external factors such as economic conditions, geopolitical events, or market sentiment are influencing these exchange rates. Since the data is limited to a small time frame (less than a month), it might not be sufficient to accurately detect any seasonality or recurring patterns.
3. Outliers and Significant Deviations
The dataset has a few instances where the exchange rate shows noticeable deviations from the stable trend. The maximum exchange rate recorded in the dataset is 0.01060, whereas the minimum is 0.01010. Both these values represent significant deviations from the average value. Moreover, in the period between 2024-05-07 and 2024-05-08 the exchange rate quickly jumps from around 0.01030 to about 0.01050, indicating a sharp increase. However, these instances are relatively rare and do not seem to represent a larger trend.
Conclusion
In conclusion, the provided dataset of KES exchange rates indicates a largely stable trend with random minor fluctuations. No clear seasonality or recurring patterns are observed, possibly due to the short time frame of the dataset or external influencing factors. Some notable deviations from the average value are observed, representing the maximum and minimum values in the dataset, but they are relatively rare instances.