2024-04-19 Tala 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 of the Exchange Rates
From a preliminary analysis, it seems that the exchange rate data provided shows a slight incremental increase over the timestamp duration provided on 18th April 2024. The exchange rate starts from 0.49062 at the beginning and gradually ends up at 0.49150 towards the end. Although fluctuations are present, there is a modest upward trend.
Identifying Seasonality or Recurring Patterns
Given the concise nature of the data provided which is confined to a single day, it's difficult to infer clear seasonality or recurring patterns. However, there are fluctuations in the values throughout the day which may require further historical data & subsequent analysis to ascertain whether there is an underlying cyclical pattern.
Noting Any Outliers
With respect to the dataset provided, the exchange rates remain between the narrow range of approximately 0.490 and 0.492. There don't appear to be any major outliers where the exchange rates differ significantly from the given range. Any perceived outliers within this dataset would be relatively small deviations and may not be of significant relevance without additional context or data.
Additional Factors
As per the request, this analysis does not take into account external factors such as market opening and closing hours, weekend and holiday patterns, or the influence of financial market news and reports. Inclusion of those elements could potentially drive a more detailed and nuanced understanding of the observed and derived trends.
To summarise, based on the data presented the trend is slightly positive over the course of the day. However, it's important to note that exchange rates are influenced by a multitude of factors and the variations within a single day don't necessarily indicate a sustainable or recurring trend. Longer-term data coupled with extensive analysis would provide a more robust and reliable perspective.
