2024-04-24 SDR (Special Drawing Right) News
2024-04-23
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
The data includes XDR (exchange rate) data recorded from 2024-04-23 00:00:02 UTC to 2024-04-23 23:55:02 UTC. From the given dataset, the analysis includes understanding the overall trend, seasonality, and identifying any anomalies or outliers.
Overall Trend
Upon looking at the data, it seems that the exchange rates started at 1.80325, reached a minimum value of 1.79745, and ended at a higher value of 1.80543 by the end of the period. This means there is an overall upward trend in the exchange rates over the period shown. However, this trend is not linear, there are periods where the rate increases and decreases varying across the given time period. The largest increase in exchange rates happened during the times of 20:00:02 to 20:05:02.
Seasonality or Recurring Patterns
Identifying seasonality or recurring patterns in exchange rate changes requires a larger dataset that covers multiple cycles of the same period. It can be a day, week, month, or year depending on the nature of the trend. However, from the provided single-day data, it's challenging to comment on any seasonality or repeating patterns without more data to compare these patterns over several days, weeks, or months. Further insights might require time-series analysis with more extensive data.
Anomalies or Outliers
Outliers are individual values that fall outside of the overall pattern of the data. It is difficult to pinpoint these values definitively without a visual representation of the data. However, a few significant changes in the exchange rate within a very short time might count as anomalies. For instance, a significant increase can be seen between the timestamps of 20:00:02 to 20:05:02, when the rate jumped from 1.79754 to 1.80459. Considering the rest of the data, this is a significant change in a very short duration and could be considered an outlier.