2024-05-09 Cuban Peso News
2024-05-08
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Data Analysis
1. Understanding the overall trend
Looking at the dataset, it can be seen that the value of the currency (CUP) against the standard currency is relatively stable. The values fluctuate in a very small window from approximately 0.0518 to 0.0519, which signifies very minor changes and can be considered stable for the majority of the dataset. There is only a small decrease in value around the middle of the given timestamps. Overall, the exchange rates do not show a clear increasing or decreasing trend.
2. Detecting seasonality or recurring patterns
Since we're given hourly data, there would be an insight if we had the data for 24 hours in several different days or weeks. However, with the provided data in this task, we cannot observe any recurring patterns or seasonality in the changes of exchange rates. More extensive data over a longer duration needs to be analyzed for identifying any periodic fluctuations or regular patterns which usually occur on daily, weekly, monthly or annual basis in such financial data.
3. Noting significant outliers
Outliers in such time-series data would involve significant spikes or dips in the exchange rate, compared to neighboring data points. However, the CUP rate in the given data remains within a highly narrow band, exhibiting tiny fluctuations but no sudden or abnormal changes which can be interpreted as outliers. So, from the provided set of time-series data, we can conclude there's no significant outliers.