2024-04-18 Azerbaijanian Manat News
2024-04-17
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 data provided, the AZN exchange rate demonstrates a relatively stable trend over the timeframe specified, with minor fluctuations. This signifies that the exchange rate largely remains within a certain range, barring a few noticeable exceptions.
Seasonality Analysis
Given that the data sample provided is for a single 24-hour period, it's difficult to identify any seasonal or recurring patterns based on the data provided alone. Detection of seasonality would require a larger dataset extending over a longer period, such as several months or a year at a minimum. In such a case, you could discern patterns connected to the time of day, day of the week, month, or even year based on larger economic trends.
Outliers Analysis
The outlier within the data seems to be the data point for timestamp '2024-04-17 21:35:02' with a value of '0.83311'. This value is significantly higher than the nearby data points and deviates from the overall trend seen in the data set. There are also lower outliers like the data point for timestamp '2024-04-17 23:05:02' with a value of '0.79122' which is considerably lower than the surrounding data points. Please note that more sophisticated statistical methods can be used to identify multiple outliers in a more complex dataset.
Consideration of External Factors
As per the provided instructions, no specific external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports have been incorporated into the analysis of this data. In order to incorporate external factors, additional data would be required to highlight key events, along with their corresponding timeframes for an enriched analysis.
Please note that the above analysis is high level. A deeper analysis can be performed using time series analysis techniques or machine learning models on a more extensive dataset.