2024-05-13 Syrian Pound News
2024-05-12
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
Understanding the overall trend of the exchange rates
The overall trend of the SYP exchange rate shown in the dataset appears to be generally stable before major increases. From the provided data, the exchange rate was stable at 0.00011 for several days, then there's a sharp increase to 0.00055 which remained constant for the majority of the presented dataset. Later there are minor fluctuations dropping to 0.00054, and going back to 0.00055.
Identifying any seasonality or recurring patterns in the changes of exchange rates
Regarding seasonality or recurring patterns, there seem to be few present in this dataset. The intense changes in exchange rates do not appear to be linked with specific times or dates, indicating no clear seasonality or repeated patterns in the data. However, this conclusion must be handled cautiously, as the dataset covers a relatively short time span, and further temporal patterns may become evident over a longer period.
Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
The main notable outliers in this dataset are the significant jumps in exchange rates from 0.00011 to 0.00055 and the minor fluctuations between 0.00054 and 0.00055. These sudden changes represent significant departures from the general trend and are not aligned with any identifiable seasonality or recurring pattern. However, these outliers do not seem to be arbitrary and might be the result of major economic events or changes in financial policy.
Conclusion
In conclusion, this time-series financial data showcases a general upward trend in the SYP exchange rate over the given time frame. The dataset does not reveal clear seasonal trends or patterns and contains significant changes that might be linked to major financial or economic events. Any solid conclusions on seasonality or external influences would necessitate further data over a more extensive time period.