2024-05-01 SDR (Special Drawing Right) News
2024-04-30
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Overall Trend Analysis
The provided data describes the exchange rate from 1.80236 to 1.81574 over the date of 2024-04-30. The exchange rate seems to be exhibiting an overall increasing trend. It started relatively low at 1.80236 and stepped to a peak of 1.81574. The pattern of the significant rise and then a slight relaxation towards the end of the given time span generally indicates a positive growth in the exchange rates. Minor fluctuations within the dataset, of course, exist. However, they don’t seem to offset the overarching pattern of growth.
2. Seasonality Analysis
Within one day's data, it is challenging to observe any definitive seasonality or recurring patterns due to short term fluctuations in the market. Generally, daily time series data require more extensive periods, such as a few months or years, to conclusively determine or reject the presence of seasonality. However, there are noticeable frequent fluctuations, which could be part of a wider pattern across a longer time frame. Again, increasing or decreasing trends within 24h are generally not useful to consider as seasonal components.
3. Outlier Detection
From the given data series, there may be some potential outliers around the value of 1.80784, where a sudden large spike occurs. There is also a similar sudden drop towards the end of the data set around 1.81557. These points considerably differ from the other values in proximity and might be instances of volatility in the market or irregularities in data recording.
These are preliminary insights based on the given dataset. To achieve a comprehensive understanding and accurately identify trends, seasonalities, and outliers, it would be advisable to analyze the exchange rates over a longer duration and consider the impact of additional parameters such as economic indicators, geopolitical events, or key financial news.