2024-05-06 Brunei Dollar News
2024-05-05
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
Based on the data provided, we can make the following observations:Overall Trend
The exchange rate data shows a slightly fluctuating trend over the given period. It starts at around 1.00575 and ends at around 1.01264 over the timeframe. We can't decisively conclude whether the rates generally increase, decrease, or remain stable solely based on this information without more statistical analysis. However, a visual representation such as a line plot would help to understand the trend and variations over time.
Seasonality or Recurring Patterns
From the raw data provided, it is difficult to identify any seasonality or recurring patterns. Seasonality typically refers to periodic fluctuations in data that occur at regular intervals—such as daily, weekly, monthly, or annually—and can be attributed to factors such as market opening/closing hours, weekends/holidays, or the release of key financial news. Since the data provided does not include these factors, it is not possible to comment on the presence or absence of seasonality and recurring patterns based purely on the numerical data. This would require time series decomposition analysis.
Outliers
An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. In simple terms, an outlier is a value that is significantly different from other similar values. Outliers can be observed by visually inspecting the data set or using statistical measures such as standard deviations or Z-scores. Regarding this dataset, any significant spikes or drops could potentially be outliers. However, identifying exact outliers purely based on this raw data is difficult and would require further statistical analysis.
In conclusion, while we can get a general sense of the data's nature and behavior, a more thorough analysis would require a more extensive examination using statistical tools and maybe visualization tools. But the data seems to contain a wealth of information and might reveal interesting insights upon further investigation.