2024-05-03 Pataca News
2024-05-02
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the Overall Trend
An initial analysis of the data reveals a slight downward trend in the exchange rate over the duration of the dataset. This trend appears to be modest but relatively consistent. The exchange rate began at about 0.17097 and ended at 0.17013, marking a subtle decrease.
Identifying Seasonality and Patterns
In terms of recurring patterns or seasonality, the data is relatively consistent and does not provide any clear seasonal patterns. However, it is important to note that this is a very fine time scale, and patterns might become more evident over broader spans of time such as years or months. As this dataset has the limit of a single day, capturing such features could be difficult.
Noting Outliers
There does not appear to be any significant outliers in this data, which suggests that any variations in the exchange rate are part of the larger trend rather than isolated incidents. Also, around the timestamp of 2024-05-02 06:20:02, the exchange rate considerably dropped from 0.17099 to 0.17039, representing a notable exception in an otherwise relatively consistent set of data. This drop could be considered an outlier when assessed closely.
External Factors
While this analysis does not take into account any specific market opening/closing hours, weekends/holidays, or the release of key financial news and reports; it is worth acknowledging that events such as these can have a significant impact on the exchange rate. However, as per your instruction, these factors weren't considered in this context.
Please take the analysis above as a simplified initial analysis. For a more detailed and accurate insight, it would be beneficial to utilize modeling techniques suitable for time series data and consider possible external factors. You might also want to consider analyzing data over a more extended period and at different time scales to reveal more complex patterns and trends.