2024-05-01 Sri Lanka Rupee News
2024-04-30
Summary of Yesterday
- 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
Based on the data provided, the exchange rate (LKR) seems to be generally stable in the initial period but as time progresses, slight variations and an increasing trend are noticeable post the 6th hour of each timestamp. The increase is negligible until the 7th hour, but post 7th hour we see a steady increase in the exchange rate until fairly stabilizing around 0.00464. It slightly increased again post the 17th hour and reached up to 0.00465 but soon dropped back to the previous level of 0.00464. Towards the end of the data points, specifically post the 20th timestamp hour, we see another slight reduction in exchange rate to 0.00462, at which it stays constant.
Identifying Seasonality
Given the data spans within a day, it might be hard to identify any clear seasonality or cyclical trends. However, certain hourly patterns could be observed where there is a slight increase in exchange rate after 6th hour followed by period of relative stability and another slight increase after 17th hour. Intraday volatility is observed, but a regular rhythmic pattern, indicative of seasonality, is not immediately evident from the data.
Notable Outliers
In the given dataset, there doesn't seem to be any significant outliers. The LKR exchange rate stays fairly close to the mean throughout the time series data. The highest (0.00465) and the lowest values (0.00460) don't deviate significantly from each other. However, finer analysis may reveal minor deviations that can be considered as outliers.
Concluding Remarks
The provided dataset shows a relatively stable trend with minor fluctuations in the LKR exchange rate throughout the time series. A cyclical or recurrent pattern is not overtly evident from the given data, and the presence of outliers seems minimal. It's important to remember that financial data is influenced by many factors that might not be evident in a straightforward numerical analysis.