2024-05-07 Lilangeni News
2024-05-06
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
Understanding the Overall Trend of Exchange Rates
The overall trend of the SZL exchange rate in the data set provided appears to be generally stable with slight fluctuations. At the start of the given time period on 2024-05-06 at 00:00:02, the exchange rate was 0.07408. After some fluctuations, the exchange rate ended slightly higher at 0.07427 on 2024-05-06 at 23:55:02. This indicates an overall slight increase in the SZL exchange rate over the course of the day. However, the changes throughout the day were minor as the rate remained in the 0.073-0.074 range, suggesting a relatively stable exchange rate.
Identifying Seasonality or Recurring Patterns
Due to the constraints on the dataset (a single day’s data), discerning any seasonality or recurring patterns presents a challenge. Typically, recurring patterns or seasonality in exchange rates can be spotted over a significantly longer period. Thus, with the available data, it's hard to drawn any conclusions about seasonality or cyclical patterns.
Outliers in the Dataset
Anomaly detection for foreign exchange data typically involves observing dramatic shifts in a short timeframe. However, in the provided data set, we observe relatively consistent rates with only minor fluctuations throughout the day. Hence, it is difficult to identify distinct outliers within this data set. The spikes we see, such as the jump from 0.0739 at 20:00:04 to 0.07418 at 20:05:02, are still quite modest and occur throughout the dataset on both the upside and downside.
If any data point was exceptionally far from the 0.073-0.074 range, it could be considered an outlier. However, such instances are not seen in the data provided.
Please note, these observations are only applicable to the dataset provided and might not be generalizable to other time periods or to future data points.