2024-05-08 Danish Krone News
2024-05-07
Summary of Yesterday
- 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 rates
The overall trend of the DKK exchange rate in this dataset is slightly increasing, but remains relatively stable over the entire period. The lowest exchange rate was 0.19734 and the highest rate was 0.19812. The rate neither dipped significantly nor spiked markedly, suggesting stable characteristics in general.
2. Identifying any seasonality or recurring patterns
In this particular dataset, it's a bit challenging to identify a clear seasonality or recurring pattern strictly from these data points. The time intervals are 5 minutes which makes it difficult to detect repetitive patterns within a 24 hours period. Further, as this dataset only represents data from a single day, it is not sufficient to deduce weekly, monthly, or annual seasonality. However, there seems to be a slight rise and then gradual fall pattern recurring every few hours - although this might need more data for validation.
3. Noting any outliers, or instances where the exchange rate differs significantly from the trend or seasonality
Considering the given observation range, the volatility level of the exchange rate is notably steady. Fluctuations are quite minimal and no noticeable outliers can be identified in this data set to suggest that the rate deviates significantly from the general trend. The same applies to seasonality, no rate seems to be behaving unexpectedly when compared with the trends observed within a specific time of the day.
4. Other Observations
As the trend analysis was conducted without considering influencing factors such as market opening/closing hours, or release of key financial news reports, future analysis might yield more insights by incorporating these factors. Furthermore, a larger dataset spanning several days, weeks or months could reveal notable trends or patterns that are not immediately apparent in this one-day dataset.