2024-05-10 Norwegian Krone News
2024-05-09
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 exchange rates
A first look at the data shows that the exchange rate of the Norwegian Krone (NOK) has an overall stable trend with minor fluctuations. It starts at around 0.12591 and ends close to 0.12609. This suggests that the exchange rate is likely influenced by constant factors or certain market conditions rather than experiencing large changes throughout the time period. However, certain fluctuations occur in between, likely caused by temporary factors or events, which we can further examine in to identify patterns or obtain insights.
2. Identifying seasonality or recurring patterns
Due to the duration of the data provided and the high frequency of the timestamp recordings (each 5 minutes apart), it might be challenging to identify distinct seasonality or recurring patterns such as daily, weekly, or monthly cycles. Nevertheless, the data indicates minor fluctuations occurring throughout, suggesting periods of increased/decreased exchange rate volatility which might be recurring during certain intervals in a day. More analysis would be needed with data over a longer period to confirm or refute the existence of high-frequency seasonality.
3. Noting outliers and significant variations
Despite the general stability of the exchange rates, the data does exhibit certain noticeable fluctuations. For example, a significant decrease can be observed around the timestamp 2024-05-09 16:05:03, where the exchange rate drops to 0.12571 from 0.12617, which is then followed by a rise back again to 0.12605 at 2024-05-09 17:10:03. These singular spikes may represent outliers in the data which are driven by short-lived, unique events or elements of randomness rather than a result of a general trend or seasonal pattern. However, without external data or context, it is difficult to attribute these outlier points to specific causes or phenomena.
In conclusion, the presented time-series dataset remains relatively stable with minor fluctuations and is prone to sudden, likely random spikes. Further investigation capturing a longer time frame or external factors influencing exchange rates might be required to deepen understanding and potentially reveal hidden patterns or trends.