2024-05-14 Cuban Peso News
2024-05-13
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
Parsing through the provided time-series data and fitting it to the criteria provided for analysis, the following series of insights, trends and details can be discerned:
Overall trend
The overall trend of the exchange rate over the given period indicates a general stability, with only minor fluctuations. The exchange rate starts at 0.05163, has several minor ups and downs, and then closes off at 0.05162. There's a very negligible change if we consider the entire timeline, suggesting a good level of stability. However, there are small increases and decreases on a smaller scale within this timeframe.
Seasonality or recurring patterns
From the given dataset, there doesn't appear to be a noticeable seasonality or repeating pattern. Minor fluctuations in the data do occur at different time intervals, but they do not show an obvious repeated pattern over a certain cycle/period. As such, there isn't enough evidence in this dataset to claim any repeating trend.
Outliers
The dataset doesn't seem to include any significant outliers. All the values are within a very narrow range between ~0.05160 to ~0.05164. The fluctuations, while present, don't deviate largely and remain within a similar range suggesting a standard rate. Therefore, there doesn't seem to be any significant outliers or unexpected values in the dataset.
It’s important to note, however, that this analysis is purely numerical and based on the data in the dataset, considering only the changes in exchange rates over time. Other external factors such as market conditions, news, or economic events aren't taken into consideration as per the instructions.
This time-series data provides a very small snapshot in time, displaying only minor fluctuations in the currency exchange rate. For a more comprehensive understanding of the performance of this financial asset, a larger and/or broader dataset could provide a more detailed overview and more extensive insights.