2024-05-06 Lari News
2024-05-05
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Before proceeding with the data analysis, I'd like to clarify that your data contains timestamps and GEL exchange rates.1. Understanding the overall trend of the exchange rates
Upon viewing the dataset, it is noticeable that the exchange rate initially decreases slightly from 0.50632 to 0.50587, but then fluctuates within a narrow interval from 2024-04-05 to 2024-04-10. The rate starts to climb noticeably on 2024-04-10, reaching a peak of 0.51615 on 2024-04-12. Thereafter, the rate reflects a generally downward trend until 2024-05-03 with some minor fluctuations.
2. Identifying any seasonality or recurring patterns
Time series data often contain patterns that repeat over a regular interval, known as seasonality. In this case, it is hard to identify a specific seasonal pattern in the exchange rate changes, likely due to the relatively short period of data provided. A longer duration of dataset might reveal any seasonal or cyclical patterns more clearly.
3. Outliers or unusual instances
Moving beyond general trends and seasonality, it can also be helpful to identify any outliers: instances where data deviates significantly from the trend. For the GEL exchange rate, a daily review of the data mostly shows consistent fluctuations. However, there are several instances of larger increases or decreases, such as on 2024-04-10 where the rate jumps from 0.50601 to 0.50931. These can be considered as unusual instances in the dataset, but the specific reasons behind these changes would require further investigation.
In conclusion, this data represents a period of overall declining exchange rates, with some periods of noticeable increase or decrease. Further investigation with a longer time horizon and/or additional explanatory variables might provide additional insights into the patterns observed here. Please note that this analysis is a simplified interpretation of the data provided and does not include more sophisticated time series analysis techniques that could be used for more precise or predictive analysis. For more detailed insights, more comprehensive statistical analyses could be performed.