2024-04-22 Sri Lanka 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
Forex Data Analysis: LKR Exchange Rate Over Time
This analysis is based on a time series dataset containing information on the Sri Lankan Rupee (LKR) exchange rates over a specific time period.
1. Overall Trend Analysis
Based on the provided data, it can be observed that there is a very slight upward trend in the value of LKR against the base currency. This small upward trend is mainly noticeable around the end of March and going into April, and it seems to persist overall during the timeline provided. However, it's also worth noting that the exchange rate in this period largely fluctuates within a very tight range, from around 0.00444 to 0.00462, which indicates a relatively stable exchange rate without any drastic rises or falls.
2. Seasonality and Recurring Pattern Analysis
From the provided data, no distinctive seasonality or recurring patterns can be directly identified in the changes of exchange rates. As the data does not appear to follow a specific daily or weekly cycle, it may not exhibit some std form of intraday or weekly seasonality that can be recognized without additional data, such as data covering a yearly period or longer.
3. Outliers and Anomaly Analysis
By analyzing the exchange rate data, there are no clear outliers or anomalies that significantly differ from the general trend. This suggests that there have been no occurrences of extreme volatility in the exchange rate during the time covered by the provided dataset. There's only a slight increase in the exchange rate around April 10th with an exchange rate peaking at around 0.00462, which although it's the highest in this period, it can't be considered a significant outlier given that it's close to the usual fluctuation range.
This analysis is purely based on the provided dataset and excludes the possible impacts of other external factors. Therefore, the results may vary when considering other factors like market opening/closing hours, weekends/holidays, and the release of key financial news and reports.