2024-05-10 Pataca News
2024-05-09
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis:
On examining the given dataset, the overall trend in the exchange rates (MOP) seems to be relatively stable over the displayed period. Generally, the rates range around 0.170, suggesting minor fluctuations. The exchange rates are seen to hover above or below this line, indicating a marginal wavering pattern through the period. However, there is no evident progressive rise or fall trend indicating significant exchange rate growth or depreciation.
Seasonality Analysis:
To identify any seasonality or recurring patterns in the exchange rates, we could theoretically break the time data into smaller segments such as hours, days, or weeks. Due to the limited data points and lack of visibility of the dates or day of the week in the given data, it's not feasible to observe any daily, weekly or yearly seasonality. Therefore, to identify any noticeable intra-day patterns or time-based seasonality, a more varied dataset would be needed.
Outlier Analysis:
Regarding outliers in the data, while most of the exchange rates are huddled around the 0.170 mark, there are certain timestamps where rates have slightly deviated from the typical range. Observing the exchange rate at the timestamp '2024-05-09 20:40:03', the rate increases to 0.17059 and stays relatively higher until '2024-05-09 23:55:02'. This relatively higher rate could potentially be viewed as an outlier when evaluated in the context of this specific dataset.
Please note that this exchange rate deviation doesn't indicate large-scale irregularity as it is still quite close to the majority of the observed exchange rates. True outliers would ideally be rates that are significantly higher or lower than the majority of the data.
Note: This analysis doesn't consider the effect of varying external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Affecting the exchange rate.