2024-04-19 Lek News
2024-04-18
Summary of Yesterday
- 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, it appears the exchange rate has remained relatively stable within the boundary of 0.01442 to 0.01449, with few exceptions. There are minute fluctuations recorded across the timestamp, but no significant increase or decrease is observed over the entire period shown. The overall trend, therefore, seems to be of a somewhat stable or flat nature.
Seasonality
For the dataset given, a clear seasonality or recurring pattern is not immediately discernable, likely owing to the fact that the fluctuations in the exchange rates are minimal and the time span is relatively short - within a single day. While financial data often exhibits seasonality on a larger scale - such as on a quarterly or annual basis due to cycles in the economic activity, nothing conclusive can be derived from the given dataset within the given short frame.
Outliers
Given the minute variation in the recorded exchange rates, any values falling exceptionally outside the observed range of 0.01442 to 0.01449 could be considered as potential outliers. For instance, the values of 0.01448 and 0.01445 might be noteworthy as potential outliers as they represent moments of relative lows and highs during this period. However, in the context of such small fluctuations, these might not be significant outliers.
Please note that this analysis treats every data point in isolation and doesn’t consider temporal context i.e., the sequence in which the values appeared. That said, true outliers are best determined in the context of their associated temporal sequences and it's important that an outlier analysis approach is used that takes this context into account.
In conclusion, this time series data presented a relatively stable exchange rate with minute fluctuations. While no significant seasonality could be discerned from this dataset within the confined time period, potential outliers identified could be used for further investigation.