2024-05-14 Pataca News
2024-05-13
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overview of Exchange Rates Trend
Analysing the provided data, the general trend in the exchange rates for the specified period appears to be relatively stable. Notwithstanding a few minor fluctuations, the exchange rate as at the initial timestamp (value of approximately 0.16987) versus the final timestamp (value of approximately 0.17012), shows a slight upward trend. Nevertheless, the overall increase in exchange rates during this period stands just at around 0.00025, indicating a marginal upward trend.
Identifying Seasonality or Recurring Patterns
Regarding seasonality or recurring patterns in the data, this kind of analysis typically requires data that spans over an elongated period, often comprising multiple years. The current dataset seems to over-time internal of a single day that limits the examination for seasonal variations or recurring patterns because it does not cover the timeframe of a week, month or year which ordinarily allows for the uncovering of recurring flucuations based on day of the week, month or even annual events.
Observation of Outliers
Given the relatively tight range of observed exchange rates in the dataset, a significant outlier or any large deviation from the general trend is not evident. Most of the fluctuations observed happen within a very narrow range, with the smallest recorded exchange rate noted at approximately 0.16977 and the highest at around 0.17019. These figures highlight a very stable distribution of data with less likelihood of significant outliers. It is worth noting, however, that without the context of statistical analysis or domain knowledge, the categorization of outliers can be subjective.
In essence, the dataset, which represents exchange rates over a 24 hour period, indicates a stable and very slight upward trend without a noticeable outlier or significant deviation. The data does not provide enough time scope to analyse seasonal or recurring patterns effectively.
