Exchange Rates Witness Significant Change through the Day
2024-05-02
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 Analysis
Based on the provided dataset, the trend in exchange rates shows significant variation. This means that the exchange rates have not remained stable over the entire period. However, a detailed analysis of the trend requires a more in-depth examination of the data for specific periods.
Seasonality or Recurring Patterns
Identifying seasonality or recurring patterns in time-series data requires recognizing repeatable and predictable patterns during specific intervals in the data. Examples of potential patterns could include weekly cycles, month-end fluctuation, etc. In this data set, due to the range and nature of the timestamps (mostly irregular and covering a full day cycle), it's challenging to highlight any seasonality or recurring patterns confidently without further detailed analysis over a larger dataset.
Outliers Analysis
Outliers are data points that differ significantly from other observations. An outlier may be due to variability in the data or experimental error; the latter are sometimes excluded from the data set. It is important to investigate the nature of the outlier before making this decision. Looking at the data, there are multiple instances where the exchange rate experiences a significant jump, which can be considered as potential outliers. One notable instance is at timestamp '2024-05-02 06:20:02', where the exchange rate drops from '1.37787' to a significantly lower '1.3721'. The precise nature and cause of these potential outliers need a more profound investigation.
Note: This analysis is purely based on the statistical interpretation of the provided time-series data and does not take into account the external factors that could significantly impact the exchange rates such as economic policies, geopolitical events, and financial news or reports.