2024-04-23 Swiss Franc News
2024-04-22
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
1. Understanding the overall trend of the exchange rates:
In general, it seems that the exchange rate values fluctuate within a seemingly narrow range during the observed time period. The time series data provided shows a cyclical pattern of up and down fluctuations, but no drastic overall increase or decrease in value is visible. However, there seems to be slight upward trends visible in intervals like around 07:00 - 09:30 and 13:00 - 16:00. These insights however would require further statistical analysis to confirm.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates:
There doesn't appear to be a clear recurrence or seasonality in the data based on the time period provided. While there are various intervals of minor rises and dips, they do not follow a consistent pattern to suggest a recurrent behavior. Notably, small increases do appear to consistently precede sharp falls in value, suggesting a specific relationship between high and low peaks.
3. Noting any outliers, or instances where the exchange rate differs significantly:
Given the apparent average range of values stays between around 1.50 and 1.51, there are no significantly discernible outliers in the dataset provided. The data fluctuates within this mentioned range throughout the day, with occasional peaks and troughs. It would require a more specific statistical analysis to precisely identify any moment that could be considered significantly distinct or as outliers, based upon its differentiation from the mean.
It should be noted that further detailed analysis can be performed with more specific statistical procedures and workflows, including tests for stationarity, autocorrelations, lags, and forecasting techniques. This would allow a deeper understanding of the underlying behaviors, patterns, and trends in the data.