2024-05-10 Swiss Franc News
Follow Swiss Franc Forecast May 10, 2024
2024-05-09
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
The data provided comprises timestamped exchange rates of CHF. It seems to represent intraday data, as it includes multiple data points within the span of a single day. The comprehensive analysis of the data set includes trends, seasonality, and outliers.
Understanding the Overall Trend
- Initially, the exchange rates seem to fluctuate within a relatively narrow range, with the maximum rate being approximately 1.5119 and the lowest being approximately 1.5088. The rates oscillate around 1.51, suggesting a stable trend over the period shown.
- However, the rates dip significantly around the timestamp '2024-05-09 06:00:02' before making a recovery. This indicates an overall decreasing trend.
- Following this dip, the rates show a rising trend, peaking at approximately 1.5118 at the timestamp '2024-05-09 01:40:02'.
- The rates subsequently decrease, marking the beginning of a downtrend that seems to persist for the remainder of the dataset.
Seasonality and Recurring Patterns
- The data set doesn't seem to display strict seasonality or specific recurring patterns at first glance.
- The pattern seems more random and influenced heavily by shorter-term factors than a seasonal trend. However, a more detailed analysis with advanced statistical techniques might uncover nuanced periodic patterns.
Outliers and Significant Deviations
- One potential outlier is the dip that happened around the timestamp '2024-05-09 06:00:02'. This dip is significantly lower compared to the neighboring data points and hence, can be considered an outlier or a significant deviation from the trend.
- Another potential outlier or significant deviation is the peak around the timestamp '2024-05-09 01:40:02'. This peak is substantially higher compared to the rates at the neighboring timestamps and is significantly deviated from the established trend at that point.
- The exact specification of outliers can vary based on different statistical theories and considerations, so these points are preliminary observations that can be explored further with more advanced statistical tools.
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