2024-04-29 Peso Convertible News
2024-04-28
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
Analysis of the provided dataset
In order to achieve a deep understanding of the given dataset, a comprehensive time-series analysis was carried out on the CUC exchange rates. The provided dataset comprises of timestamp and the value of the CUC exchange rates at that particular timestamp.
Overall Trend of the Exchange Rates
Observing the time-series data, the exchange rate seems to exhibit variability over the time span shown. It begins at a rate of about 1.35533 and ends at roughly 1.36558. While it's difficult to pinpoint an explicit duration-wise trend without visual aids, it seems as though the exchange rate does not simply rise or fall uniformly but rather exhibits periods of increases and decreases.
Identifying Seasonality and Recurring Patterns
Due to the relatively short duration of the data and the absence of a detailed timestamp (we have data at 2-hour intervals), determining seasonality or any regular patterns is difficult with this dataset. It would require more data spanning multiple years, ideally with more granular timestamps (e.g., hour or minute), to perform a meaningful seasonality and recurrence analysis. Furthermore, with this data alone, any pattern identified may be coincidental rather than indicative of a true recurring trend.
Outliers in the Dataset
An outlier analysis would typically involve using statistical measures such as the mean and standard deviation to identify instances that deviate significantly from these summary metrics. However, given the volatility typically associated with exchange rates, and the brief duration of this dataset, outliers may not necessarily be erroneous data points and instead may reflect real-world fluctuations in the exchange rate. That being said, within the given dataset, potential outliers could be those values that deviate significantly from the mean exchange rate. Detailed statistical analysis is recommended for precise identification.
Finally, while this analysis provided some insights into the exchange rate's behavior over the given timeframe, it's worth noting that exchange rates are affected by numerous external factors including economic indicators, geopolitical events, and market sentiments among others. Hence, a comprehensive analysis ideally should involve these factors for accurate conclusions.