2024-04-24 Danish Krone News
2024-04-23
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 Analysis
From analysing the dataset, it appears that the DKK exchange rate has some slight fluctuation during the observed period. The recorded rates predominantly range between 0.19555 and 0.19615, which shows a relatively stable trend with minor rises and falls.
Seasonality and Recurring Patterns
With regard to seasonal patterns, the data does not exhibit clear or predictable oscillations that might point to daily or similarly recurring trends. Determining seasonality can be difficult with this type of financial data, as exchange rates are influenced by a host of different factors, many of them unpredictable or external to the market itself.
Outliers and Unexpected Variations
The dataset does not contain any significant outliers or extreme values. The exchange rate remains relatively consistent through the timeline presented. The deviations that do exist appear to be part of the normal variation one would expect in such a dataset, rather than outliers or unexpected variations.
While the provided dataset doesn't show notable spikes or dips in the exchange rate within the period considered, it's important to remember that the factors affecting currency exchange rates are numerous and complex. Consequently, a more extended timeline might show larger fluctuations due to geopolitical events, economic policy changes, and other macroeconomic indicators.
General Observations
Overall, the provided dataset shows moderate fluctuation in the DKK exchange rate over the given timeframe. There is no unique seasonal or recurring pattern, suggesting that short-term factors might heavily influence exchange rates. Also, no significant outliers were detected in this dataset.
Please note that this analysis is based purely on the provided dataset, and no external factors such as market conditions, political climate, or economic indicators have been taken into account. For a more comprehensive and accurate analysis, considering such factors along with a larger dataset spanning a longer timeframe could yield more informative results.
