2024-05-09 Kwanza News
2024-05-08
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overview of Findings
An initial glance at the data suggests that the AOA exchange rate was remarkably stable over the period sampled. The majority of timestamps reflected an exchange rate of 0.00164, though there was a brief period where the rate slightly increased to 0.00165.
Temporal Trends
An overview of the data did not show any prominent upward or downward directional trend. The exchange rate remained largely stable at 0.00164 for most of the period. We note a slight increase to 0.00165 midway through the data, however, it quickly returns to the standard rate, resulting in a temporary and minor relative peak rather than an ongoing trend.
Seasonality and Patterns
Given the short timeframe of the data provided, it's challenging to identify any extensive seasonal patterns in the exchange rate. A definitive conclusion would require a more extended dataset possibly covering more significant periods e.g., yearly or quarterly. However, from the given dataset, there doesn't appear to be any discernible hourly patterns within the day.
Outliers Analysis
The only potential outliers in this dataset are the points where the exchange rate shifted to 0.00165. These instances were rare and brief, reverting to the common rate quickly. With the given dataset, it's difficult to say what caused these outliers. More contextual data might be needed to draw conclusions on these outliers.
From the data and the brief, we have not considered any external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports which could have drastic effects on the exchange rate.
Key Recap
This analysis found that the AOA exchange rate remained relatively constant throughout most of the sampled period apart from a few deviations. However, we were unable to establish definitive seasonal or recurring patterns over this period or significant trends in the data. The analysis was purely based on the data provided and didn't account for any external factors. If broader contextual factors were provided or considered, the conclusions might differ significantly.