Mild Fluctuations in HNL Exchange Rate Indicating Economic Stability
2024-05-02
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the Overall Trend of The Exchange Rates
From the dataset provided, the observed exchange rates fluctuate slightly throughout the day, changing minutely every five minutes. There is no clear trend of general increase or decrease over the period observed. The exchange rate seems to hover around a mean value. However, a more detailed statistical analysis, such as calculating and graphing moving averages or applying a trend analysis algorithm, could provide a clearer picture of the overall trend.
Identifying Seasonality and Recurring Patterns
Due to the high frequency of the data (every 5 minutes), it is difficult to identify any seasonality or recurring patterns from a manual scan alone. Careful calculation of autocorrelation functions or Fourier transforms, as well as visualizations like time-series decomposition plot, would be required to verify the existence of any recurring patterns. However, since the data provided only covers a single day, any patterns identified would be intraday patterns, not patterns over longer periods such as weeks, months, or seasons.
Noting Outliers in the Data
From manual observation alone, no significant outliers or unexpected values in the exchange rate are noticeable in the dataset provided. The exchange rates remain within a tight band of values around the mean. A more thorough outlier detection would require conducting a statistical outlier detection, such as the Z-score method or the Tukey's fences method, to be certain.
Please note that this preliminary analysis has provided an overview of the dataset based on simple observation. For a more comprehensive and precise analysis, more extensive statistical methods should be applied. This would require a more in-depth study than the quick overview provided.