only missing portions are downloaded, if needed.</p></li>
<li><p>All dates are compared to a benchmark ticker such as SP500 and, whenever an individual asset does not have a sufficient number of dates, the software drops it from the output. This means you can choose to ignore tickers with high number of missing dates.</p></li>
<li><p>A customized function called <code><a href="reference/yf_convert_to_wide.html">yf_convert_to_wide()</a></code> can transform the long dataframe into a wide format (tickers as c