2024-05-08 Lithuanian Litas News
2024-05-07
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
The provided dataset consists of timestamped exchange rates. Let's make a comprehensive analysis of the dataset based on the provided instructions.
Overall Trend of the Exchange Rates
Upon reviewing this dataset, a small downward trend in the LTL exchange rate can be observed overall, indicating a slight depreciation during the given period. Although there are minor fluctuations seen in numbers, the general direction seems declining from the start to the end of this sequence.
Pattern and Seasonality
Identifying seasonality or recurring patterns requires a more extended dataset encompassing multiple seasons or years. With the current dataset, it's hard to determine precise trends or seasonal patterns related to particular days or seasons. However, over this shorter timeframe, it seems like the rate remains quite steady with reasonable fluctuations, which seems to indicate a non-seasonal trend.
Outliers
An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. In this dataset, it is difficult to identify any distinct outliers without additional context or without knowing the expected range of the LTL exchange rate. The numbers seem to fluctuate around the same point. This suggests that there are no instances where the exchange rate differs significantly from what's expected based on the general trend.
Please note, specific external factors, like market opening/closing hours, weekends/holidays, or the release of crucial financial news and reports are not considered in this analysis as per the instructions.