2024-05-06 Swedish Krona News
2024-05-05
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the Overall Trend
The comprehensive analysis of the provided dataset involves understanding the overall trend, identifying any seasonality or recurring patterns, and noting any outliers. In the dataset provided across a period from April 5, 2024 to May 3, 2024, the trend shows an overall increase in the exchange rates from 0.12747 to 0.12650. This signifies that the rate tends to increase moderately over this period.
Identifying Seasonality or Recurring Patterns
Looking at the data, we can see that there does not appear to be a distinct pattern or seasonality to these rates based on the available dataset. The rates show some degree of volatility, rising and falling through the period but without a clear repeating cycle. However, to validate this observation, the analysis over a longer time-frame is needed as financial datasets often reveal clearer patterns over extended periods.
Noting Any Outliers
In terms of outliers within this dataset, there does not appear to be sudden disproportionate spikes or drops in the exchange rates. The data fluctuations seem normal given the time period, with the rates oscillating around a relatively stable mean value. Despite this, there might be local outliers or anomalies associated with short-term market reactions to specific events, but providing more context around these moments would require incorporating specific event information or external factors, excluded from this analysis.
Concluding Remarks
To summarize, the exchange rates show an overall increasing trend in the analysed period with no significant identifiable seasonality or recurring patterns based solely on this data. It is also found that there are no major anomalies or outliers present in this dataset. For a more in-depth and accurate analysis and understanding of the pattern, analysing a larger and more varied dataset over a larger time frame is advisable and taking into consideration specific market events and external factors could provide some valuable context.