2024-04-26 Azerbaijanian Manat News
2024-04-25
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 of the Exchange Rates
From a general view of the data, there are fluctuations in the exchange rate for the period under consideration. However, the exchange rate values seem to oscillate around an average value of around 0.805, suggesting a general stability of the rate within this period. Although there are peaks and troughs, there aren't significant shifts in the general exchange rate trend that we can pinpoint as a general increasing or decreasing trend.
Identifying Seasonality or Recurring Patterns
When examining the time-series data from a bird's eye view, there doesn't appear to be a clear indication of seasonality or repetitive patterns over the given timespan. The data fluctuates throughout the day, indicating that the exchange rate shifts according to the market forces rather than daily cycles. To confirm the absence or presence of seasonality or recurring patterns, a detailed time-series decomposition analysis would be required which is out of the scope for this analysis since we are not considering factors such as market opening and closing hours or weekends.
Outliers or Significant Deviations
- There are certain points that diverge from the regular values like 0.83427, 0.81804, 0.82112, 0.83304, 0.82549 and 0.83615
- These values seem to be outliers since they are significantly higher than other values found on the dataset. Interesting to note is that some of these exceptionally high exchange rate values were recorded just a few minutes apart, suggesting that there could have been a short-lived yet impactful event during those moments causing these spikes.
Note: The existence and impact of these outliers should need more detailed statistical analysis like the 3-sigma rule or a comprehensive box-plot analysis.
Given the fluctuating nature of exchange rates and the lack of notable repetitive patterns within the data, predictions based solely on this information may not be entirely reliable or accurate. For more sound predictions, external factors such as financial news and market analyses should be combined with the insights gained from this dataset.
