2024-04-17 Mexican Peso News
2024-04-16
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
From the dataset provided, here is a comprehensive analysis of the exchange rates (MXN) time-series data:
1. Overall trend of the exchange rates
The data show a fluctuating trend in the exchange rate over the timestamp provided. The exchange rate starts at 0.08111 at the beginning of the time series and ends at a slightly higher rate of 0.08122, suggesting a small increase overall. It is important to note, however, that within this timeframe the values vary up and down. The maximum value attained during this period is 0.08236, while the lowest recorded is 0.08096. These fluctuations imply various periods of both increase and decrease in value.
2. Seasonality or recurring patterns in the rates
When examining the data, one familiar pattern could not be determined from the dataset due to substantial fluctuations at different intervals. The data does not seem to present a clear seasonal trend or pattern recurring at regular intervals. While the data fluctuates, these don't appear to form a clearly identifiable or recurrent pattern. An in-depth statistical analysis is needed to ascertain whether this dataset demonstrates any form of seasonality.
3. Outliers and significant deviations
Identifying significant deviations or outliers in the data involves determining instances where the exchange rate showed a considerable change (either increase or decrease) away from its trend. In this dataset, significant changes occur at certain points. However, given the overall fluctuations in the data, these changes might not be classified as outliers. It is important to note, though, that a deep statistical analysis is required to definitively identify and confirm any outliers.
In summary, this time-series data provides a rich illustration of fluctuations in the exchange rates over time. From the overview provided, it appears there's a small upward trend. However, this includes periods of both rise and fall in value. It is essential to apply more rigorous statistical analyses to accurately determine the presence of recurring patterns or outliers in the data.
