2024-04-30 SDR (Special Drawing Right) News
2024-04-29
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the overall trend of the exchange rates
By examining the data given, we can see that there is a general upward trend in the exchange rate of XDR over the recorded period. The rate starts at roughly 1.79051 and ends at about 1.80245, which indicates there has been an overall increase during the time span. It's important to note that while this increase is generally steady, there is some inter-day fluctuation, as can be expected in any exchange market.
Identifying any seasonality or recurring patterns in the changes of exchange rates
Upon the initial analysis, it is difficult to pinpoint any clear-cut seasonal or periodic patterns solely from the given data. The constant fluctuation of the exchange rate demonstrates the influence of more immediate factors, such as microeconomic trends and geopolitical developments, which can happen at any time. However, you could notice some daily patterns as the exchange rate shows some highs and lows which seem to occur in a daily cycle. A deeper analysis involving more sophisticated tools like decomposing the series into trend and seasonal components would be needed for confirming any seasonal patterns.
Noting any outliers, or instances where the exchange rate differs significantly from the trend or seasonality
An interesting observation can be made in the span of data from timestamp '2024-04-29 06:20:02' and '2024-04-29 06:45:03'. The exchange rate jumps significantly from roughly 1.79244 to 1.79885 in just 25 minutes, representing the largest difference within such a short period in the data set. Besides, a quick drop can be noted at '2024-04-29 09:05:03' where the rate drops significantly from 1.80144 to 1.80053 within 5 minutes, another unusual movement in the data set. These could be classified as outliers, which might have been caused by a major economic event or possibly data error, given the rest of the data does not show such large swings within such short periods.
Again, further investigation into the cause of these outliers and how they should be treated would be dependent on the overall objective of the analysis and whether they are representative of certain underlying phenomena in the market.