2024-04-17 El Salvador Colon News
2024-04-16
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Given the format of your data, it's not possible to perform a detailed financial analysis. With this format, values appear as timestamps but no corresponding SVC exchange rate is provided, as all values remain at 10000000. Thus, it's impossible to make useful insights or identify any trends, seasonality, or outliers. However, if the SVC rates were variable, I would proceed as follows:Understanding the overall trend of the exchange rates
I would compute a moving average, say for 5 units of time. This could give an idea about the general direction of the SVC exchange rate. A rising average would suggest an increment in rates, whereas a falling average would suggest a decrement.
Identifying any seasonality or recurring patterns in the changes of exchange rates
I would perform a seasonal decomposition of the time series data to extract the trend, seasonality, and residuals. This could highlight certain times during which the rate increases or decreases at a higher frequency. Time series plots, autocorrelation plots, or spectral analysis could also assist.
Noting any outliers
I would compute z-scores or use the interquartile range method to identify any extreme values in the SVC exchange rates, which could be considered as outliers. I would also plot the data to visually examine any unexpected spikes or drops.
As for the external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, it might be difficult to consider these factors without specific data on them. Apologies once again, but without more variation in the SVC exchange rates, a useful financial analysis isn't feasible.