2024-04-22 Nepalese Rupee 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
Looking at the data, the overall trend of the exchange rates seems relatively stable, with slight fluctuations. The exchange rates for NPR are fluctuating between 0.01014 and 0.01034 over this time period. Though there is an observable increase and decrease flow, the change is not significantly high, depicting a relatively stable trend.
Seasonality or Recurring Patterns
From an initial observation of the data, it is difficult to ascertain any strong signs of seasonality or recurring patterns in the exchange rates. The time slots noted are not consistent; there are intra-day gaps between some observations and even days gaps between others. However, one may see slight ups and downs of the rates at certain times of the day across multiple dates. These slight changes might indicate a daily cyclical pattern, but more data and deeper analysis are necessary to confirm this.
Outliers
For identifying outliers, a range, standard deviation, or a more sophisticated statistical tool might be needed. However, in the given data, there are no significant peaks or deep troughs indicating outliers or extreme values. Most exchange rates are grouped closely around the 0.0101 to 0.0103 mark. The highest exchange rate observed is 0.01034 and the lowest is 0.01014. Given the slight difference between the lowest and highest exchange rate in this dataset, it is safe to say that no observable outliers exist in this data based on the overall trend.
This general low volatility could suggest a stable economic environment during this given period. Still, please remember that this descriptive analysis doesn't consider external dynamic elements influencing exchange rates. These could include economic indicators, geopolitical events, and changes in the financial market. Therefore, it's recommended to consider a more sophisticated forecasting methodology for business or trading purposes.