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Strategies & Market Trends : Young and Older Folk Portfolio

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agniv

QTI on SI

Smart_Asset

To: QTI on SI who wrote (20819)	10/1/2025 9:44:12 AM
From: R.Daneel.Olivaw	3 Recommendations of 23432

Re: CEF data extraction. It would take about an hour. The R code used RSelenium to render the pages from Fidelity. I put a delay in between each request because there was/is a limit on page hits per second. The Snapshot page was quick and simple, it used HTML tables which were simple to extract. I would run it in the background and come back later to see the spreadsheet output. I really miss the Fidelity Snapshot page, it was concise and provided great data quickly. R code is pretty simple to port to Python, very similar. I started using it when in my last couple of years of work life. We had a fantastic intern program for A.I. before it was cool. These amazing kids, yes, kids, led me to R for stock market data. Today it would be known as A.N.I. artificial narrow intelligence, but it was fun and they kept me interested in the last years of work. (We were bought out and they paid me to hang around for my institutional knowledge, which they mostly ignored.) I just looked at CEFConnect and the distributions are available. It's also in an HTML table if you care. There are more efficient ways these days but i digress.

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