2024-04-22 Swiss Franc News
2024-04-21
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
Overall Trend Analysis
The dataset provided represents time series data over a specific period for CHF (Swiss Franc) exchange rates. Overall, your data exhibits some volatility, though no long-term, strong increasing or decreasing trend is apparent. In the dataset, the exchange rate fluctuates between approximately 1.49 and 1.52, which indicates a certain degree of stability within this range over the timeline provided. However, detailed quantitative analysis would be required for a more accurate conclusion.
Seasonality & Recurring Patterns
Based on the data observed, there's no clear evidence of seasonality or recurring patterns. Time series data can often show recurring fluctuations, known as seasonality, which could correspond with regular time periods like a day, week, month, or even year, such as currency rate changes at market opening or closing hours. Given the brief time period covered in this dataset, it is challenging to conclude any seasonality on a larger timescale such as a month or a year.
Outliers Analysis
An outlier in a dataset is an observation that lies an abnormal distance from other values. Extreme values do not necessarily indicate outliers, it also depends on the context. In this dataset, there do not appear to be significant outliers. Most exchange rates are clustered within the 1.49 to 1.52 range. However, there are a few data points that reach around the 1.52 level, which could potentially be considered as mild outliers. To definitively identify outliers, further statistical analysis, such as the calculation of z-scores or the use of boxplots, is necessary.
Note: As we are not considering any specific event which might impact the exchange rates (like market opening/closing hours, weekends/holidays, or the release of key financial news and reports etc.), these interpretations are made solely using the raw data and may vary if such factors are taken into account.
