2024-05-01 Iceland Krona News
2024-04-30
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 Rates
From the data provided, the overall exchange rate seems to be relatively stable initially and then shows a slight increasing trend towards the end. At the start of the dataset, the rate is at 0.00974, it then stabilizes around 0.00975, and starts to increase from around 0.00977 mid-day. By the end of the day, the rate reaches near about 0.00981, which shows a marginal uptick. This suggests the overall trend is slightly upward.
Seasonality or Recurring Patterns
There seems to be some daily seasonality in the exchange rate. The rate appears to start low in the early morning, remain somewhat stable throughout the day, and then begins to increase in the evening hours. This pattern is quite common in financial markets, which are influenced by trading activities that typically follow the business hours.
Noteworthy Outliers
It's difficult to identify any major outliers just based on the raw dataset provided, as most of the changes appear to be relatively minor and consistent with the overall trend. However, three instances stand out slightly from the rest: once when the rate dropped to 0.00974 after remaining stable at 0.00975, and two when the rate jumped to 0.00977 and 0.00981 from previous lower values. That being said, these instances don't represent significant deviations from the general trend and may be within normal fluctuations inherent in exchange rate markets.
Observations and Conclusions
Overall, the dataset seems to show slight daily seasonality with generally stable rates during most of the day and an upward trend towards the end. This pattern suggests potential influence of regular trading activities. However, more detailed data or additional context would be needed to confirm this hypothesis and more precisely identify any other patterns or outliers.