2024-04-22 Rupiah News
2024-04-21
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
Overall Trend of Exchange Rates
Observing the provided data for the Indonesian Rupiah (IDR) exchange rate over several timestamps, it's apparent that the rate experiences minor fluctuations, but remains remarkably stable overall.
Seasonality or Recurring Patterns
Upon careful examination, no clear seasonal or recurring patterns in the fluctuations of the exchange rates can be discerned within the given dataset. The rates exhibit minor fluctuations, but no consistent or repetitive pattern emerges. However, a much more extensive and long term dataset would be required to accurately determine any potential seasonal trends, as these would typically manifest over extended periods of time.
Identification of Outliers
The dataset does not show any significant outliers where the exchange rate differs widely from the general trend. There are two noticeable drops to 8.0E-5, but these recover back to 9.0E-5 shortly afterwards, aligning again with the consistent fluctuations observed throughout the rest of the dataset. As such, these two instances do not represent significant deviations from the general trend.
External Factors
As per the request, the analysis has not taken into consideration any external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports. This analysis is purely based on the data given. However, in real-world scenarios, these factors certainly do have notable impacts on financial market trends including exchange rates.
Lastly, no forecast for future rates is provided in accordance with the request. This analysis focuses only on examining and interpreting the data provided.
In conclusion, the IDR exchange rate has been relatively stable with minor fluctuations within the range of 8.0E-5 to 9.0E-5. No clear seasonality or recurring patterns have been identified. However, only a comprehensive analysis over a more extended period may reveal more in-depth trends and patterns.