Sustained Growth Noted in BOB Exchange Rates
2024-05-20
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
Overall Trend of Exchange Rates
From the data provided, there is a slight increase in the exchange rate over time. Although there are some periods of stability and slight decrease, the general overarching direction of the trend is upwards. The exchange rate started at approximately 0.19752 and reached somewhere around 0.19721 towards the end of the dataset. This indicates an upward movement for the given time frame.
Seasonality or Recurring Patterns
Observing the data on a minute-by-minute basis, it is difficult to see clearly any seasonality or recurring patterns within this single day. For a more detailed study about seasonality or recurring events, data for a longer-term should be studied. This would enable the identification of potential patterns like exchange rate changes during specific times of a day, days of a week, or certain months of a year. Since we have data for a day only, it might not be sufficient to draw any concrete conclusions about recurring patterns or seasonality.
Outliers Identification
From an overview of the data provided, there do not appear to be any major outliers where the exchange rate differs significantly from what would be expected based on the existing trend. However, determining outliers would ideally require statistical analysis resulting in standard deviations or using methodologies like box plots, scatter plots, and Z-score calculations. This would help in processing and comparing the data points and thus identifying significant variances from the expected values.
Conclusion
In summary, the financial trend for this particular set of raw data shows a slight increase in the exchange rate value over the day. Despite minor fluctuations, the overall trajectory of the exchange rate is upward. As far as the identification of outliers and patterns is concerned, there doesn't appear to be any outliers present. The dataset does not cover a sufficient time period to identify seasonal patterns or trends. Hence a more comprehensive, long-term data set would provide more detailed insights in these aspects.