2024-05-02 Swiss Franc News
2024-05-01
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend in Exchange Rates
Observing the provided dataset, it appears that the average exchange rate has experienced minor fluctuations throughout the day, indicating relatively stable market conditions. However, to make definitive conclusions on overall trends, detailed statistical analysis or visual representations, such as trendlines in line graphs, can be quite useful. With more comprehensive tools, smaller but consistent fluctuations may become more prominent.
Seasonality
Based on the given data, it is challenging to discern any clear patterns of seasonality in the exchange rates at different times solely from a programmatic point of view. Typically, exchange rates can be influenced by various seasonal factors such as holidays, economic quarters, etc. However, this dataset does not provide data spanning over a large enough period (such as multiple months or years), making it difficult to make definitive conclusions about seasonal trends.
Significant Outliers
From the given data, pinpointing outliers – instances where the exchange rates differ significantly from their average – is quite complex and would typically require statistical analysis or visual interpretation. An outlier could be due to several external events like fiscal policies, geopolitical news, or large transactions by financial institutions. But since this analysis is meant not to consider specific events or external market factors, no definitive outliers can be discerned simply from textual data.
For more accurate and detailed analysis, it would be recommended to leverage visual tools, statistical techniques like moving averages, standard deviation, z-score or quartile analysis using more extended data over a lengthy period. Automated systems like tools that implement machine learning algorithms or time-series analysis can also be beneficial.