2024-04-18 Mexican Peso News
2024-04-17
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
From the information provided, it is evident that the exchange rate for MXN does not remain constant. Instead, it presented slight fluctuations over the given period. That said, the changes were relatively minimal as they only ranged between 0.08098 and 0.08173. The movements up and down within this very small range suggest that the overall exchange rate trend hovers around a certain value, rather than showing a strong appreciation or depreciation trend.
Seasonality or Recurring Patterns
- The data over the discussed timeframe does not appear to show a robust or clear-cut seasonal pattern. The ups and downs in rates seem random, indicating a lack of predictability related to specific times or occurrences.
- However, it is important to note that the lack of a discernible pattern might also be attributed to the relatively short data period. Identifying long-term seasonality or recurring patterns often require extensive data from extended periods.
Outliers
An observation of the data does not display any significant outliers, as the changes in values are marginal. There weren't any sharp deviations of the exchange from the average observed rate. This suggests that during this particular period, the market didn't encounter any shocks significant enough to cause such a change.
Consideration of External Factors
As per your instruction, factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports were not considered in this analysis. Such factors are mainly responsible for creating inconsistencies in time-series data patterns, as they cause unexpected sharp changes. However, no such changes were observed in the provided dataset.
Forecast Details
As per the given instructions, no forecast for future rates was prepared based on this analysis. However, it should be noted that the analysis of historical price trends (which include overall trend analysis, seasonality, and outlier detection) forms a crucial part of the time-series forecast in Finance.
