2024-05-10 UAE Dirham News
2024-05-09
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
Using the given dataset, it is evident that the exchange rate of the AED generally fluctuates within a narrow band between approximately 0.372 and 0.374 over the duration captured. There is a slight decrease visable starting from 0.3737 and ending at approximately 0.3727. However, instances of specific rates that were significantly higher or lower than the overall trend are relatively few and far between.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates
This is intraday transactional data, so it is important to highlight that any patterns will be within the same day, not over longer periods such as weeks or months. Intraday seasonality can be influenced by a myriad of factors including volumes of transactions, breaking news, geopolitical events, etc. With the limited dataset given, without any specific instances of these events, identifying recurring patterns with accuracy is challenging. To accurately identify any patterns, it would be accurate to say further data or the use of advanced time-series analysis techniques would be required.
3. Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
The overall trend is marked by subtle fluctuations between a confined upper and lower limit. There are few anomalies outside these bounds. Examples of slightly more significant variation might include the drop to 0.37229 at 17:50:02 on 2024-05-09 and subsequent rise to 0.3728 by 11:00:03 the next day, but these instances are not noticeably frequent.
It is important to note that without a thorough understanding of the source of the data, the nature of the transactions, and the wider market conditions, it is not possible to definitively determine whether these are outliers, or whether they are in line with typical market behavior.