2024-05-21 Loti News
2024-05-20
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
1. Understanding the Overall Trend of the Exchange Rates
Upon reviewing the exchange rate data provided, it seems to exhibit a general upward trend from the beginning timestamp (2024-05-20 00:00:02) to the end timestamp (2024-05-20 23:55:02). We start with a rate of 0.0747 and end the day with a slightly increased rate of 0.07503, suggesting a mild appreciation by the end of the day. Worth noting that not every single timestamp resulted in an increased exchange rate, there are periods where the rate either remained steady or decreased momentarily before resuming its uptrend.
2. Identifying Seasonality or Recurring Patterns
Although a detailed frequency analysis is required to determine the exact seasonality in this dataset, a few repetitive patterns can be noticed even in this basic analysis. For example, the exchange typically either remains stable or increases slightly within short spans. However, this data set does not seem to cover a long enough time span to convincingly argue for seasonality, given it spans only a day. For such analysis, having multiple month ort year data would be more insightful.
3. Identifying Outliers in the Data
In terms of outliers within the dataset, they can be identified where there is a significant deviation from the general trend described above. Due to the narrow range of values (0.0747 to 0.07503), one might consider even small deviations important. For instance, the rate decrease at timestamps around 09:10:03 appear as potential outliers due to how they deviate from the general upward trend. However, these instances do not represent drastic changes, and they align with an overall gradual trend. Therefore, it's safe to say there are no significant outliers in the given dataset.
Conclusively, based on this single day of data, LSL displayed a slight increasing trend throughout the day, no strong patterns of seasonality, and no significant outliers. Future actions would require continuous monitoring of the trend and sudden change in the data.