2024-04-18 Kenyan Shilling News
2024-04-17
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend of Exchange Rate
On initially examining the dataset, it's clear that there is a minor fluctuation in the exchange rate over this period. It starts at 0.01047 and ends at 0.01038 which represents a small decrease. The sample time series exhibits cyclical ups and downs, but the range of fluctuation is quite limited and close to the initial value, suggesting overall, the exchange rate remains relatively stable over the period shown.
Seasonality and Recurring Patterns
Given the high-frequency nature of the data—an observation approximately every five minutes—it is difficult to discern any distinct daily or yearly seasonal pattern. However, one might observe some intraday patterns, such as changes during different hours, alongside the opening and closing hours of the foreign exchange market. Based on this dataset, there doesn't seem to be any pronounced recurring patterns in the changes of exchange rates, and the fluctuations seem somewhat random without detailed context or other related data points.
Outliers Identification
Regarding outliers or significant deviations within these exchange rate figures, no significant outliers are detected from this dataset. The values over the time series maintain a slight and gradual change, displaying a well-behaved behavior with common financial time series data. This might be due to the high liquidity and the non-stop operation of the foreign exchange market, which usually prevents drastic changes within such a short time interval, despite the release of key financial news.
Please note that this is a high-level view of the analysis, and before making any financial decisions or predictions, comprehensive quantitative analysis methods, such as statistical modeling, machine learning, and other data science techniques should be applied to make more detailed and reliable conclusions.