Slight Fluctuation in AED Exchange Rates Raises Market Eyebrows
2024-04-18
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. Understanding the overall trend of the exchange rates
Looking at the data, there's an overall upward trend in the exchange rates from 0.37454 to 0.37519 during the period observed. It started at quite a constant rate, then there's a gradual increase as time progresses, with some noticeable oscillations. The exchange rate peaked around the 20:40 timestamp at 0.3755 before dropping again in later hours.
2. Seasonality or recurring patterns in the changes of exchange rates
While it is challenging to identify specific seasonal patterns in the data given the short time frame covered, there are certain regularities observed. The data shows that the exchange rates have a period of relatively stable (or slower increase, or decrease) followed by a period of more rapid change. There are also certain periods where the exchange rates seem to oscillate within a narrow range (up and down similar amounts), potentially indicating some "around-the-clock" pattern for this specific period. Note, however, these observations could be specific to the dataset's timeframe (one day), and longer-range data may be required to confirm any daily cycle or other recurring patterns.
3. Outliers, or instances where the exchange rate differs significantly from what would be expected
The key outliers that can be identified in the given dataset particularly occur around the timestamps from 20:35 to 21:20 where we see a sudden increase in the exchange rate, peaking at 20:40 with 0.3755. Subsequently, we see a sudden drop in the exchange rate around 22:30 to 0.37522. These data points represent short-term instabilities and deviate from the general trend. However, to establish a statistical basis for these potential outliers, a more comprehensive model would need to be used, taking into account elements like standard deviation of the data.
Please note again that the ability to conduct a detailed analysis is limited due to the short time scale provided in the data. More precise and long-term patterns, trends, and possible outliers might be revealed with a more extensive data set that covers a lengthier period.
