Exchange Rate Fluctuation Continues as BZD Navigates a Day of Volatility
2024-05-15
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Trend Analysis
Upon analyzing the provided dataset, there is a slight downward trend in the BZD exchange rate over the period given. There are, however, several short periods where the rate appears to increase slightly. The decrease is not uniform and is occasionally interspersed with periods of temporary increases. This overall downward trend suggests that the BZD is depreciating over the time period presented in the data.
Seasonality Analysis
Given the nature of the data, it would be challenging to ascertain any seasonality within the dataset as we only have a single day worth of data. Seasonality is typically viewed over longer timeframes, such as quarterly or yearly. Therefore, based on the present dataset, we cannot identify any seasonality or recurring patterns in the exchange rates.
Outlier Analysis
When observing the exchange rate fluctuations, we notice several instances where there are more significant jumps or drops. Particularly at the '2024-05-15 06:25:02', the rate dropped from '0.67765' to '0.67644', which is significantly different from the changes seen at other times. Another instance occurred at '2024-05-15 20:15:02', where the rate surged from '0.67433' to '0.6789'. While these instances may appear as outliers in the data, they may be caused by various factors that influence exchange rates, such as changes in market demand or geopolitical events. However, our analysis is limited to the numerical data provided, and we do not consider external factors.
Wrap-up Statement
In conclusion, this analysis paints a picture of a generally depreciating BZD over the period observed. Notwithstanding the general trend, there are instances with considerable changes either upwards or downwards which stand out as potential outliers; these could be subject to future in-depth analyses, if more context were provided. Given the time span of the data, it was not possible to determine any seasonality effects.
