2024-05-08 Ghana Cedi News
2024-05-07
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
After analyzing the provided dataset, it is clear that the general evolution of the exchange rate shows a relatively stable behavior with marginal variations both upward and downward. However, the exchange rate does not show a sharp increase or decrease at any point in the given timeframe. The changes are somewhat subtle implying a fair degree of stability in the exchange rate.
Identifying Seasonality or Recurring Patterns
When evaluating time series financial data, seasonality or recurring pattern identification is consequential. In this dataset, substantial diurnal patterns, namely, within the same day, are not clearly discernible. However, small fluctuations can be observed, which could suggest some kind of intraday seasonality which awaits further, more detailed studies for a foolproof conclusion. For longer timeframes, because of the limited timestamp span, no conclusion about weekly or monthly seasonalities can be drawn at this stage.
Noting Any Outliers
Outliers in financial data are typically significant fluctuations in the value that are unexpected or differ substantially from the pattern. When observing this dataset, no prominent outliers are noticed. All values of the exchange rate remain within a relatively narrow range, and there are no drastic leaps or falls. This suggests that the exchange rate remained relatively stable throughout the period covered by the dataset.
Please note that the analysis given is a purely statistical description of the given dataset and does not consider external factors such as economic, geopolitical, or financial market conditions which could have driven these movements in the exchange rate.
Preparing for Future Analysis
If future analysis is to be conducted or if forecasts for future rates are to be made, it might be prudent to consider these external factors as well. Market opening/closing hours, weekends/holidays, significant events, and the release of key financial news and reports are known to impact currency exchange rates and could be included in the model if a more accurate, future-focused analysis is needed.