2024-03-12 Zambian Kwacha News
2024-04-23
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Comprehensive Analysis of Exchange Rate Data
First things first, it is essential to mention that the timestamps given are in a five-minute interval. The data suggests the observations were made 24/7 as we see timestamps for all hours and days during the presented period. Now, here are the detailed analysis findings:
1. Overall Trend Analysis
The overall trend of the exchange rate data shows a fluctuation range. However, towards the end of the dataset, there's a slightly lower range. No significant increase or decrease trend is noted over the time frame provided. The rates remain relatively consistent within the range 0.05285 to 0.05314.
2. Seasonality and Recurring Patterns
Given the short period of the dataset (only from 2024-04-23 00:00:02 to 2024-04-23 23:55:02), it's challenging to identify any seasonal patterns. Recurring daily patterns could only be effectively identified with data over a more extended period. However, the dataset shows small fluctuations between certain ranges within short periods throughout the day, which could be a sign of intraday trading volatility.
3. Outliers and Large Fluctuations
Within the given dataset, the rates seem to remain within a consistent range without large spikes or drops, indicating low volatility. After scanning through the dataset, no significant outliers were identified in this exchange rate. The observed rates were overall stable and stayed within a narrow scope.
In conclusion, this analysis provides insight into the currency exchange rate's behavior during a single day. The fluctuating yet stable range suggests controlled trading activity. For a more comprehensive understanding of the exchange rate's behavior, more elaborate data for an extended duration, including days, weeks, and months, would be required. The observed movement and fluctuations could be due to regular market trading activities, which inherently have a level of volatility.