2024-03-12 Jordanian Dinar News
2024-04-23
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
The first step in analyzing this data involves parsing the timestamps and examining the associated exchange rates at these times to understand the overall trend. By plotting the exchange rates against time, we can identify if rates generally increase, decrease, or remain stable over the period shown in the data.
Seasonality or recurring patterns
Seasonal decomposition analysis would be useful in revealing any recurring patterns or seasonality in the data. The exchange rate time series can be broken down into a trend, seasonality, and residual components. This helps us to see clearly the underlying patterns in the data, if any. Certain times of the day or specific days may demonstrate regularly higher or lower rates than the rest of the data.
Outliers
Outliers may be identified by examining points where the exchange rate deviates significantly from the trend or the seasonal pattern. This can be achieved by plotting a boxplot of the amount of change between consecutive periods, and identifying any significant deviations from the median change. These may be instances where the exchange rate differs significantly from what would be expected based on trend or seasonality.
External Factors
Please note that in this analysis, we have not considered external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Though they can significantly affect exchange rates, these external factors are outside the scope of this analysis as specified in the provided requirements.
Forecast
As per the goal specified, we have not generated any forecasts for future rates.