2024-03-12 Dalasi News
2024-04-23
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overview of Time Series Data
The given dataset provides insights into exchange rate fluctuations from 23rd April 2024 00:00:02 to 23rd April 2024 23:55:02. To understand the data and draw insightful interpretations, it's crucial to conduct a step-by-step analysis of the trend, patterns and potential anomalies.
Understanding the Overall Trend
The overall trend of the GMD exchange rates stayed fairly consistent throughout the entire day on 23rd April, 2024. Despite minor fluctuations, the GMD rates were stable and hovered between 0.02016 and 0.02019 for most of the day, before dropping slightly to around 0.02011 towards the end of the day. No significant upward or downward trends can be observed. Thus, the exchange rates depicted a largely stationary trend within this 24-hour period.
Identifying Seasonality or Recurring Patterns
Regarding seasonality, with only a single day's data, it is challenging to properly determine any daily or hourly patterns that may repeat over multiple days. The small variations in exchange rates do seem random and non-periodic, indicating a lack of strong seasonal trends within this day. To confirm any consistent patterns, a broader dataset covering a series of multiple days, weeks or months would be required.
Noting Any Outliers
From the provided data, no significant outliers are noticeable that would significantly deviate from the observed range of 0.02011 to 0.02019. The exchange rates remained reasonably stable, with only minor fluctuations that do not seem to represent any extreme deviation from the overall trend. However, striking points are the slight rise observed around 04:10:02 to 0.02019, followed by a gradual decrease towards the later hours of this analysed day.
Concluding Remarks
In summary, based on the data provided for one day, the GMD exchange rates present a relatively stable trend without any exceptional outliers or discernible seasonal patterns. However, this analysis is limited by the small time frame of data available. For more precise insights and identification of possible recurring trends or patterns, it would be beneficial to have access to a broader, longer-term dataset.