2024-04-30 Pataca News
2024-04-29
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding MOP Exchange Rate Trends
After analyzing the given time series data for the MOP exchange rate, we observe that the exchange rate has generally been increasing throughout the given times. As the timestamps progress, the MOP exchange rate is seen marginally rising -- it starts at a rate near to 0.16892, with the highest rate within these timestamps being near 0.16969.
Identifying Recurring Patterns or Seasonal Trends
Identifying patterns in exchange rates can help us understand seasonality. However, it's somewhat difficult to identify any specific recurring patterns or seasonality from the given data without more context or a larger dataset. Generally, we can see slight fluctuations in the values that occur more or less frequently, but due to the short time span of the data (approximately 24 hours), a clear seasonal or cyclical pattern is not immediately apparent. The data is not granular enough to determine if those fluctuations tend to occur at specific periods within the day, days of the week, or other seasonality factors.
Notable Outliers in The Data
An outlier in the exchange rate might be a rate that differs significantly from the rates before and after it. From the given data, there are no obvious outliers present. The changes in exchange rate seem to be gradual and there's no instance showing a significant dip or spike is observed within this data. It may be necessary to consider a larger dataset, or one with more drastic changes in exchange rate, to find significant outliers.
Changes in Exchange Rate with Respect to External Factors
Exchange rates can be influenced by multiple external factors such as market opening/closing hours, weekends/holidays, and the release of key financial news and reports. However, since this analysis was requested to be conducted without considering these specific events and external influences, these were not analysed or noted in the trend or patterns. It's also important to note that having these events or factors integrated could significantly impact the conclusions about patterns, seasonality, and outliers.