2024-04-22 Lek 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
1. Overall trend of the exchange rates
The overall trend of exchange rates can be understood by plotting the data on a line graph and analysing the direction of the trend line. The upward or downward slope of the trend line will indicate incresing or deecreasing trend and a flatter line will indicate a stable trend. Without the specific analysis software or code, I could provide an observation on only raw numbers. By looking at the raw data, it appears that the exchange rates are relatively stable over time, hovering around the 0.0143 - 0.0146 range for the majority of the timestamps provided.
2. Seasonality or recurring patterns in the changes of exchange rates
Determining seasonality or recurring patterns require robust statistical analysis with tools like autocorrelation. However, without such tools, I observe the data, it would be a challenge to pinpoint any clear patterns or seasonality based solely on this raw exchange rate data. The absence of clear patterns in the raw data does not necessarily mean that no patterns exist, but they might be difficult to recognise without further statistical analysis.
3. Outliers in exchange rates
Outliers can be identified as values which diverge significantly from the majority range of values. In this dataset, the value of 0.01408 at timestamp 2024-03-27 16:00:02 stands out as being particularly low compared to the majority of the data points which range between approximately 0.0143 and 0.0146. Similarly, 0.01461 during the time 2024-04-10 14:00:03 could possibly be an outlier on the higher end. However, identifying outliers precisely would typically require a more detailed statistical analysis.
Please note that this analysis is based on a simple observation of the raw data in the dataset provided and should not replace a more detailed, statistically robust analysis using appropriate financial analysis software or coding language.