2024-05-07 Mozambique Metical News
2024-05-06
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
Analysis of the Given Time-Series Data:
The first step in comprehensively analysing the dataset you have provided is to understand the data structure and attributes in detail. This dataset is time-series data that represents the changes in exchange rates from timestamp '2024-05-06 00:00:02' up to '2024-05-06 23:55:02'. In this instance, the ticks are approximately every 5 minutes as we can see from the timestamps. The 'MZN' attribute represents the MZN exchange rate.
Understanding The Overall Trend:
Upon a close examination of the data, the exchange rates are seen to be largely stable over the given period. Most values are close to 0.02154, with minor fluctuations in the fourth decimal place. There is a slight decrease in the rate at '2024-05-06 00:15:02' which suggests a minimal decrease trend and minor fluctuations throughout the day. However, the general trend seems to remain stable, with no significant increase or decrease over the period shown.
Identifying Seasonality & Patterns:
In this specific dataset spanning less than a day, it is difficult to identify any clear seasonality or recurring patterns. Although we can observe minor fluctuations in the exchange rate throughout the day, these do not appear to follow a consistent or repeatable pattern that would indicate seasonality.
Noting Outliers:
As per the provided data, no significant outliers are visible. The exchange rate stays relatively consistent throughout the given time period with only minor deviations.
In conclusion, the MZN exchange rate appears to be relatively stable with small fluctuations throughout the day of May 6, 2024. Please note that this analysis does not consider potential external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Any potential impact from these factors would require a more detailed dataset and additional analysis.