This is a summary of links featured on Quantocracy on Sunday, 03/27/2022. To see our most recent links, visit the Quant Mashup. Read on readers!
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Using requests and BeautifulSoup in Python to scrape data [Wrighters.io]The amount of data available on the internet is quite staggering. It is often quite easy to do a quick search and click through to view data on a website. However, if you want to actually use that data in your analysis, you have to be able to fetch it and convert it into a format that is usable. The creators and owners of the websites, however, may not want you do this. They might prefer that you
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Top N Crypto-Assets by MarketCap for Backtesting Purposes in Python [Quant at Risk]A quantitative research over the construction of a perfect crypto-portfolio can be based on a number of crypto-assets. The selection of them is of paramount importance. If you are able to build the right portfolio, stick to it, or successfully manage its composition in time (e.g. through the method of rebalancing), the final PnL coming from your management can be worth every dollar invested in all
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5 Economic Indicators That Matter To Investors [Decoding Markets]Recently, I grabbed a book from my library that had been standing there for the past 10 years. Its called Guide to the 50 Economic Indicators That Really Matter. Its one of the few books that describe concrete trading strategies that are still relevant. Its also a great read to brush up on knowledge about economic indicators. Lets talk about some of them. Indicators Matter In a typical