2024-04-30 Swedish Krona News
2024-04-29
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
Overview of the analysis
Firstly, in an overall view on the data provided, it appears that the rate of sek exchange remains relatively static during the period of the 29th of April, 2024. The numbers slightly fluctuate between the minimum rate of 0.12480 and the maximum rate of 0.12531, which may indicate there's a stability in the sek exchange during this particular day.
Trend Analysis
By running trend analysis over the exchange rates data, it can be observed that there's no significant upward or downward trend. The exchange rate appears to fluctuate around the mean value of approximately 0.1249420 throughout the day, moving basically sideways. This indicates that the market was probably in a state of relative equilibrium, with no strong directional bias to push the rates up or down substantially.
Seasonality and Recurring Patterns
Looking for seasonality and recurring patterns in this dataset was challenging given its 24 hour scope. As per the data available, there doesn't appear to be any clear seasonality or recurring patterns present in this series of data.
Outliers identification
Outliers, or statistical observations that are markedly different from others in the data set, were also analyzed. Approximately around the 16:05:03, there is a minor spike in the value hitting the maximum of 0.12531 for the day. However, given the limited timeframe and the relatively minimal change, it's still within what we might simply consider 'noise' rather than a significant outlier or a pricing error. All the rates generally fall within a narrow band throughout the short period this data represents.
In conclusion, during the analyzed period, the exchange rate between the sek has shown little volatility and remained stable with minor fluctuations. This type of analysis provides an understanding of the currency's intraday movements and changes, and can become a useful tool in predicting future behavior when complemented with additional data.