Summary of Yesterday
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
Analysis of the Provided Dataset
Observing the provided dataset, it presents the exchange rate of a specific currency (MGA) at various timestamps, extending from 2024-02-19 to 2024-02-23. Since the dataset only encapsulates a brief period of time, it is somewhat challenging to pinpoint any significant trends, anomalies, or seasonal fluctuations. However, a meticulous review has been performed, and the following observations have been made:
1. Overall Trend
Based on the provided data, the exchange rate of MGA remained consistent at 0.0003 throughout the entire duration. There is absolutely no change in the rate during this period. Hence, the overall trend of the exchange rate can be described as stable. No increasing or decreasing trend is detected, as the rate stayed constant.
2. Seasonality or Recurring Patterns
As per the given dataset, it's arduous to discern any specific seasonality or recurring patterns due to the static nature of the exchange rate as well as the relatively brief timeframe that the dataset encompasses. There are no noticeable fluctuations in the exchange rate at different times of the day or on different dates that would exhibit any established pattern or seasonality.
Given that the exchange rate remains steady at 0.0003 throughout the period, there are no discernible outliers or abnormally high or low rates that could be identified. Every data point aligns with the overall pattern, and none deviates from the expected rate. Therefore, the dataset does not contain any visible outliers.
While this analysis provides you with an immediate understanding of the dataset's state and pattern, kindly note that factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports can have substantial influence on the actual trend, seasonality and outliers in exchange rates. It is recommended to incorporate these factors for a comprehensive understanding of financial time series data. However, as requested, these factors were disregarded for this analysis.