2024-05-15 Bahamian Dollar News
2024-05-14
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis of the BSD Exchange Rate Time Series Data
The provided dataset consists of time series data representing changes in exchange rates (BSD) over time. This analysis incorporates trend overview, seasonality, and outlier detection based on the data provided. The data covers multiple days and various time intervals.
1. Overall Trend
On analyzing the given dataset, it appears that the exchange rates are experiencing a mild negative trend over time. The overall change in value from the first observation of 1.36866 to the last observation of 1.36713 shows a slight decrease. However, this change isn't significant, and the exchange rates largely move around a particular range most of the time, indicating market stability.
2. Seasonality or Recurring Patterns
Considering the granular nature of the data provided, it isn't possible to accurately discern any seasonal or recurring patterns. Trading in foreign exchange markets is active 24x7x365 and largely depends on immediate market conditions. However, for instance, if available data points were associated with indicators such as weekday vs weekend or trading hours vs non-trading hours, the pattern could be more apparent.
3. Outliers
Throughout the data, there are instances where the exchange rate undergoes a short, sudden increase or decrease before returning to the general pattern, suggesting temporary market volatility. These points could be considered as outliers, as they deviate from the overall pattern. For instance, the significant jump from 1.36522 at 2024-05-14 20:00:03 to 1.36764 at 2024-05-14 20:05:03 can be considered an outlier.
Note that these interpretations are formed purely based on the given data. More comprehensive assessments can be made with larger datasets or complementing information.