2024-05-09 Bermudian Dollar News
2024-05-08
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
Looking at the given dataset, which spans over a period from 2024-05-08 00:00:02 to 2024-05-08 23:55:02, I performed a preliminary analysis of the exchange rates mentioned. Within this 24-hour period, the smallest exchange rate seen is around 1.37193 with the highest reaching up to 1.3762. Comparing the starting and final rates (1.37532 and 1.37252 respectively), a minor decrease is detected.
However, the rates fluctuate throughout the time period, with multiple increases and decreases being noted as time progresses. Therefore, it wouldn’t be accurate to say there is a clear increasing or decreasing overall trend for this specific data snapshot. Rather, it seems to indicate a somewhat volatile market for that period.
Seasonality or Recurring Patterns
As for seasonality or recurring patterns, given the specified data is only for a 24-hour period, it's tricky to form a solid conclusion about any potential seasonal changes which are usually observed over a much longer time period (usually across quarters, months or weeks).
Regarding recurring patterns in intraday data, although there are periods with noticeable tendencies such as pronounced movement to higher or lower values, these tend to be dispersed throughout the day rather than forming a discernible continuous pattern we could definitively highlight.
Outliers
Outliers, or values that significantly deviate from the expected based on the established trend, can potentially be detected using statistical methods such as the standard deviation, but on glance, no major outliers were detected within the provided data. Safe to say, the fluctuations within this dataset align with the usual exchange rate market's volatility.
Please note that for a comprehensive understanding and assessment of the data, it would be better to perform further, more in-depth statistical tests and visualizations. This might involve creating line charts to visualize the changes, employing statistical software to identify outliers, or running time-series analyses to better surface potential patterns.