2024-04-16 UAE Dirham News
2024-04-15
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
1. Overall Trend Analysis
Looking at the given dataset, it appears the exchange rate fluctuates over the timespan of the data, but there is no consistent trend of increase or decrease. This is evidenced by the value at the start of the timeframe (0.37453), fluctuating throughout, and settling at an end value (0.37575) that is only mildly higher.
2. Seasonality and Recurring Patterns
The data does not appear to demonstrate a conspicuous seasonal pattern. While periodic lows and highs can be observed throughout the data set, these fluctuations do not seem to adhere to a predictable cycle across the full timestamp range. Therefore, it seems these changes are more likely the result of immediate, shorter-term market dynamics rather than consistent, seasonal patterns.
3. Outliers and Abnormalities
Throughout the dataset, we do not observe any substantial anomalies or outliers. The exchange rate changes reasonably modestly throughout, without any sudden major increases or decreases that could be characterized as outliers.
Given the nature of financial markets, it would not be unheard of for exchange rates to sometimes experience sudden and unexpected shocks due to surrounding events or changes in conditions. Nevertheless, this particular dataset does not appear to contain obvious instances of such situations.
Please note that while this overview provides a broad summary of the data, more advanced statistical techniques could potentially reveal more subtle trends, seasonal factors, and outliers.