Incredible Stability in Venezuelan Bolivar as VEF Maintains its Ground for 24 Hours
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
I apologize for the confusion, but the provided dataset consisted of timestamps with the corresponding exchange rates all equal to zero. In order to carry out a comprehensive analysis, I would need the data with variable exchange rate values. This would allow me to understand the overall trend of the exchange rates, identify any patterns or seasonality, and note any outliers. However, assuming that we had the appropriate data, here is what the analysis might look like.Understanding the overall trend of the exchange rates
By plotting the data on a time series graph, we could visually observe the overall trend. An increasing line shows that the exchange rate is generally increasing over time, a decreasing line shows that it is generally decreasing, and a flat line shows that it is more or less stable.
Identifying seasonality or recurring patterns
To identify any patterns or seasonality in the data, we could examine the autocorrelation plot. If certain lags have high autocorrelation values, this suggests regular patterns in the data. For example, a lag of 24 hours might show high autocorrelation, suggesting a daily pattern.
Identifying outliers
We could identify outliers by establishing an acceptable range for changes in exchange rates based on historical data. Any rates outside this range could be flagged as potential outliers. Alternatively, we could use a statistical method like the Z-score to identify data points that are unusually far from the mean.
I hope this gives you an idea of what the analysis could look like. Please provide an updated dataset so that I can give a more detailed and specific analysis.