2024-05-17 Naira News
2024-05-16
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Based on the given dataset, here is a comprehensive analysis:Overall Trend of the Exchange Rates
Looking at the dataset provided, the overall trend for this particular series of exchange rates (NGN) appears to be relatively stable. The rate begins at 0.0009 and it fluctuates slightly but by a very small margin within the time interval given. There is a mild decline to 0.00088 but it doesn't last long and the rate rises back up to 0.0009. The lowest observed rate is around 0.00088 and the highest is 0.0009. This suggests there is not much significant volatility within this specific period.
Seasonality or Recurring Patterns
Under initial analysis, there doesn't appear to be any specific seasonality or recurring patterns in the changes of exchange rates based on the provided timestamps. The rate fluctuates very mildly and within a very small range. There doesn't seem to be any periodic rise or fall in exchange rates that could be attributed to seasonality.
Outliers
From the data, no noticeable outliers are immediately evident. The variability in the exchange rate is very narrow and it kept within the same range throughout the entire period. All values remain within an expected range based on the observed trend and no single datapoint deviates significantly from the others.
Note
However, it's important to note that these observations are based purely on the dataset provided. External factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports can and do often have significant impact on exchange rates. This analysis was asked to not keep these factors in consideration. Furthermore, the lack of identified seasonality or recurring patterns, as well as outliers, could also be due to the relatively small range of data provided. More extensive datasets, covering larger time periods might provide more variability and distinct trends.