2024-05-06 Gold News
2024-05-05
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis
The provided exchange rates (XAU) for the stated duration demonstrate an overall increasing trend. The starting value is at 3095.97523 on the first timestamp of '2024-04-05 02:00:02', and the value rises up to 3344.48161, peaking at '2024-04-12 10:00:03'. After that, a small decrease is observed which carries the value down to 3225.80645 at '2024-04-12 14:00:01'. However, after the aforementioned drop, the overall increase resumes and carries the value up to 3311.25828 by '2024-04-18 22:00:02'. Thereafter, a decreasing trend is observed for a while which bottoms at 3154.57413 in the timestamp '2024-04-30 16:00:03'. Towards the end of the given dataset, the rates show slight fluctuation with no significant increase or decrease.
Seasonality and Recurring Patterns
Although it's rather challenging to identify any seasonal or recurring pattern in the given dataset solely based on the timestamps provided, one can draw several interesting observations. There appears to be minor fluctuations inside each day and also from one day to another. On some days the value spikes more than on others. However, these spikes and dips do not seem to follow a perfectly recurring pattern as would be the case if it followed a daily or weekly cycle. Additionally, there don't seem to be any sharp consistent upward or downward spikes that we can interpret as 'seasonal' in the sense of currency trends. However, without considering external factors, the argument of a clear seasonal pattern remains weak.
Outliers in the Dataset
Anomalies or outliers in a dataset are values that are noticeably different from all others. Identifying such outliers can give us insights into occurrences that deviate from the normal trend. In our given dataset of exchange rates, we can observe certain significant jumps in the values on certain timestamps. For instance, the rate increased significantly from 3300.33003 at '2024-04-12 06:00:02' to 3344.48161 at '2024-04-12 10:00:03' and thereafter, a major drop is observed from 3344.48161 to 3225.80645 at '2024-04-12 14:00:01'. Such instances are notable deviations from the overall gradual trends and can be considered outliers in our dataset.