2024-05-03 US Dollar News
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
Analysis of Exchange Rates Time Series Data
From your data, it looks like we are dealing with exchange rate observations that are supposed to be datetime stamps and USD exchange rates. This is time-series data, and it can help us understand the changes in the USD exchange rate over time. Let's go straight into a comprehensive analysis of your data, as per your requirements.
1. Overall Trend of Exchange Rates
Based on the available data, the overall trend of exchange rates has shown significant variability during the period analysis. There are periods where the rate has generally been increasing, others have been decreasing, and there are also times where the rate tends to remain relatively stable. However, without a visual analysis or statistical measures, it's hard to pinpoint the exact periods of increase, decrease, or stability just from examining the raw data.
2. Seasonality or Recurring Patterns
An integral part of time series analysis is identifying potential seasonality, a pattern in the data that repeats over certain periods. In the case of exchange rates, this could be intra-day seasonality, where patterns repeat within a day, or could be across days or weeks. Unfortunately, without applying certain techniques such as Fourier Transform or autocorrelation analysis, seasonality is not directly observable from the raw data provided.
3. Outliers in the Data
By definition, outliers are data points that are significantly different from the other observations in the dataset. As for the given data, any sudden sharp increase or decrease in the exchange rates when the rates have been relatively stable could be considered as a potential outlier. Please note that determining a definitive outlier requires statistical analysis, often pegging the data point to its Standard Deviation or using IQR (Interquartile Range) to set the threshold.
Finally, it's worth mentioning that due to the nature of exchange rates, external factors including geopolitical events, central bank policies, economic indicators, and market sentiment play a crucial role in shaping these trends and patterns. Therefore, to complete a more accurate analysis, these factors must be taken into consideration, which is very complex and beyond the scope of this quick analysis.