2024-05-10 Ethiopian Birr News
2024-05-09
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 the Dataset
The financial time-series data provided represents the changes in exchange rates (ETB) on a 24-hour cycle spanning several days. Specifically, the values being logged every 5 minutes, cover the date interval from 2024-05-09 00:00:02 to 2024-05-09 23:55:02.
Determining the Trends in the Exchange Rates
Based on the analysis of the data, the overall trend of the exchange rates over the period shown seems to be stable, ranging from 0.02384 to 0.02394 ETB. There are however some small variations, indicative of minor increases and decreases. Most notably, a small jump in the rate is observed at the end of the period on 2024-05-09, indicating an increased purchase power of the currency in the time frame captured by the data.
Seasonality and Recurring Patterns in the Data
Striking observation from the dataset reveals that there is a slight but discernible increase in the exchange rate approximately every 24 hours. This cycle indicates a daily pattern of fluctuation which may be attributed to global trading activity associated with the ETB exchange rate.
Identifying Outliers in the Data
Scanning through the data set, there are no distinct outliers, which is understandable as the range of variation in the data is quite small. Most variations in the exchange rate observed in the data are incremental and correlate with the established pattern of daily trading activity.
Conclusion
The dataset represents a consistent exchange rate trading scenario with minor variations over the observed period. The absence of abrupt changes or significant outliers further substantiates the stability of this rate within the time frame under scrutiny.
It should be noted, however, that these findings are strictly based on the numerical trends within the dataset. External factors including market opening/closing hours, weekends/holidays or the release of key financial news and reports are not considered in this analysis as per the instruction.