2024-04-23 Som News
2024-04-22
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Data Overview and Trend Analysis
Based on the provided dataset and after an initial review, it appears that the exchange rate we are dealing with is not excessively volatile within the timespan represented. The data starts at a rate of 0.01542, fluctuates slightly throughout the period, but ends in a similar position, at 0.01541. While there seems to be no substantial upwards or downwards trend in the exchange rate over this time frame, there are small oscillations in its value that are worth noting.
Periodicity and Recurring Patterns
At first glance of the data, it's not immediately evident that the exchange rate demonstrates a strong seasonality or regular recurring pattern within the given time frame. The value fluctuations seem to be random, with no apparent cyclical nature. However, a more robust statistical analysis would be required to definitively confirm whether there is or isn't a seasonal pattern in this time series data.
Outliers and Significant Variations
The raw data presented does not indicate the presence of any significant outliers, in the sense of any dramatic spike or dip in exchange rates. The rate does experience some minor fluctuations throughout, but these changes don't seem to deviate significantly from the general range of values. The data indicates relative consistency and stability in the exchange rates.
While there are minor variations in exchange rates, no particular instances stand out where the exchange rate differs significantly from what might be expected based on previously observed values.
It's worth noting that this analysis is based solely on the given data and does not take into account any external factors that might influence exchange rates, such as geopolitical events, fiscal policies, economic indicators, or market sentiment. Such factors could potentially cause outlier events or significant deviations from trends and patterns.