2024-05-15 Qatari Rial News
2024-05-14
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis
Upon examining the provided financial time-series data, it can be observed that the trend of the exchange rates has a slight decrease starting from 0.37576 to 0.37482 within the span of 24 hours. Although there are ups and downs during the day, the overall movement shows a steady and minor decrease throughout the period.
Seasonality or Recurring Patterns
From the provided dataset, there isn't any clear seasonality or recurring patterns evident in the exchange rate changes. Since the duration of the data is only for one day, patterns that might occur weekly, monthly or annually cannot be identified. However, fluctuations within the day could be due to day trading activities, variations in trading volumes, or global market activities which could vary substantially day by day.
Identification of Outliers
When it comes to identifying outliers in this dataset, there are no significant abnormalities or fluctuations that deviate largely from the rest of the data. The range stays between 0.37576 and 0.37482 without any drastic jumps or falls. However, a more thorough analysis using statistical tests like the Z-score or the IQR method may be required for a definitive outlier detection.
Other Considerations
While the analysis did not factor in external influences like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, it's important to note that these variables play a crucial role in influencing exchange rates. The operation of financial markets, major economic announcements, and global events can create fluctuations in currency exchange rates.
Without these considerations, the analysis provided gives a general understanding about the exchange rate movement within a single day, which shows a slight decreasing trend with no significant outliers.