2024-05-13 Pataca News
2024-05-12
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Processing the Data
Given the data, the first step is to process and interpret it. The values presented are a sequence of timestamp followed by the corresponding MOP exchange rates. Note that the provided timestamps are not of equal intervals because some timestamps are missing. Regardless, the timestamps appear to span from April 12th, 2024 to May 10th, 2024, about a month in duration.
1. Understanding the Overall Trend of the Exchange Rates
Glancing at the MOP exchange rates, they appear to hover between approximately 0.169 and 0.171 throughout the period, which indicates that the exchange rate remained relatively stable, with slight fluctuations up and down.
2. Identification of Seasonal/Recurring Patterns
Identifying seasonality or recurring patterns in the data can be achieved by observing patterns or repetitions in the exchange rates over the period. This could include, for example, a trend where the exchange rate increases or decreases at the same time each day. Due to the missing timestamps making it difficult to observe a pattern via simple observation, a more sophisticated time series analysis could be necessary to accurately identify any potential seasonality.
3. Identification of Outliers
The exchange rates in the provided series mainly range between 0.169 and 0.171. However, specific data points might deviate substantially from this range and be considered outliers, particularly against the overall trend and identified seasonality. For further outlier detection, statistical methods such as Z-scores or the IQR method could be implemented to statistically quantify and identify potential outliers.
Additional Consideration and Limitations
It is important to highlight that this analysis does not consider external influencing factors, such as market opening/closing times, weekends/holidays, or the release of pertinent financial news or reports. Each of these factors could have a significant influence on the exchange rates. Without accounting for them, the potential for the incomplete or misleading interpretation of the data increases. Additionally, the missing timestamps could indicate missing exchange rate data, which may also impact the efficiency of the analysis. Therefore, all conclusions drawn from this dataset should be taken as tentative and interpreted within these limitations.