2024-05-07 Norwegian Krone News
2024-05-06
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
To provide a comprehensive analysis of the dataset you provided, we first have to parse through the key aspects of the data and identify guardrails surrounding the analysis. The dataset is a time series indicating changes in exchange rates (NOK) at different timestamps. Based on this information and your specific requests, here are the findings:
Understanding the overall trend of exchange rates:
The general trend of the exchange rates over this period has been somewhat unstable which means the rates have been changing regularly. The lowest exchange rate recorded was around 0.1258, while the highest was around 0.1264. Although there were several instances of increase and decrease within the time frame, no specific long-term stable trend can be observed from the data provided.
Identifying seasonality or recurring patterns:
While it's challenging to define a significant seasonal pattern due to the short-term nature of the data, smaller patterns can be seen within the day. Minimal fluctuations are witnessed during different parts of the day. This recurring intraday pattern suggests that the exchange rate slightly varied during different periods of the day, however, no substantial increases or declines were observed to pinpoint a robust seasonality pattern.
Noting outliers:
From a glance at this time series data, there did not appear to be any outliers or instances where the exchange rate took a leap from what was expected based on the general trend of data, as all rates remained within a relatively tight band. The exchange rates steadily oscillated within a specific window, without exhibiting any sudden, excessive spikes or drops. Therefore, it can be concluded that the dataset doesn't have any notable outliers.
Keep in mind that this analysis is purely based on the data provided and doesn't account for external market factors such as market opening/closing hours, weekends/holidays or the release of key financial news and reports.