2024-05-13 Kwanza News
2024-05-12
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
After carefully examining the time-series dataset of the AOA exchange rate, I have extracted several key insights and findings. Here are the details:
1. Trend Analysis
The data indicates that the exchange rate remains relatively stable throughout the entire period with slight fluctuation. The values predominantly remain within a limited range of 0.00163 to 0.00166. There are some periods where the value is constant for example between '2024-04-12 02:00:02' to '2024-04-12 14:00:01' where the value stays at 0.00165. This suggests stable market conditions during these periods.
2. Seasonality & Recurring Patterns
In the case of seasonality or recurring patterns, it seems that there doesn't appear to be a clear and distinct pattern repeating at regular intervals in this dataset. This dataset, however, seems to show an intra-day fluctuation pattern where the rate seems to change or move within a day and get back to around the opening rate the next day. Further analysis with more detailed timestamps (i.e., second-by-second or minute-by-minute) may be required to confirm this pattern.
3. Identification of Outliers
Given the relatively stable nature of the rates, any value that deviates substantially from the range of 0.00163 to 0.00166 could be considered an outlier. However, within this dataset, there doesn't appear to be any significant outliers, suggesting that the rates in this period did not experience any extreme volatility.
In conclusion, this dataset presents a generally stable exchange rate situation with minor fluctuations. Further sub-time-frame analysis might reveal more patterns or anomalies. Remember, these findings do not take into account the impact of external events or factors that could potentially lead to significant movements in rates.