2024-05-01 Unidad de Fomento News
2024-04-30
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 of the Exchange Rates
Looking at the dataset, we can see that there are several fluctuations in the exchange rates over time. Given that the data is dense, it would be best to plot the exchange rates over time for more accurate visual representation. However, as noted, there are multiple moments where the rate increases or decreases. A full assessment of the trend needs a chart that isn't provided in this text-based analysis, but even from the text data, we could deduce that the trend isn't strictly linear - neither consistently rising nor falling.
Seasonality and Recurring Patterns of Exchange Rates
Discovering a seasonality or recurrent pattern in the dataset requires a detailed analysis that exploits autocorrelation functions or Fourier Transforms to examine periodic behaviours. As the data provided is not extensive enough – covering only a single day – it may be challenging to conclude any seasonality or cycles over longer periods, such as weeks, months, or years. Also, the possibility of daily cycles could be studied, like the changes between the time of day like opening and closing hours. However, just based on the dataset given, it's not possible to derive any seasonal pattern.
Outliers in the Exchange Rates
The dataset oscillates, with the prices ranging approximately between 39.5 and 40.1 through the period analysed. However, there are some noteworthy observations. At timestamps '2024-04-30 08:00:04' and '2024-04-30 08:15:02' we see a sudden decrease of rates to about 40.11553 and 39.86764. Similarly, at '2024-04-30 14:00:03' and '2024-04-30 16:00:03' we can observe values at around 39.639. At '2024-04-30 23:55:02' the value goes up significantly to 40.09945. These instances could suggest possible outliers or significant market movements during these times. These outliers can significantly affect the mean, and therefore the analysis. Hence, these values would need to be examined more substantively.