2024-05-13 Cuban Peso News
2024-05-12
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 Overall Trend of Exchange Rates
The given dataset includes time series data from April 12, 2024, till May 10, 2024. When observing the data, we see that the exchange rate has relatively minor fluctuations, suggesting a part of a stable market condition. The data starts with a rate of 0.05178 and ends with 0.05158, showing a minor decrease in the exchange rate over approximately a month, though there are occasional upticks.
Identification of Seasonality or Recurring Patterns
To accurately determine seasonality or recurring patterns, algorithms like time-series decomposition are typically used. However, based on the visual inspection, it seems that there is no clear seasonality or recurring patterns in the exchange rates during this period. The rates seem to present a series of ups and downs, with no discernable period at which they consistently rise or fall.
Outliers Noted in the Exchange Rates
The dataset seems consistent without any significant outliers. While there are a few peaks and valleys, they don't deviate drastically from the average rate in these data. They most likely represent normal market fluctuations and not an anomaly in the data.
Factors not Considered
- This analysis assumes that the time series data is not influenced by market opening/closing hours.
- Weekends and holidays are not excluded from the dataset.
- Key financial news and reports release which can have a significant impact on the exchange rate are not considered.
- The analysis has not generated any forecast for future rates.
Please consider these results as preliminary data analysis which provides a general overview of trends, seasonality, and outliers. For a more precise understanding and interpretation of the data, one could apply specific forecasting models, consider the influence of contextual features such as market hours, and weekends or holidays.