Quantocracy’s Daily Wrap for 04/17/2019

This is a summary of links featured on Quantocracy on Wednesday, 04/17/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Reliably download historical market data from Yahoo! Finance with Python [Ran Aroussi]

    Ever since Yahoo! Finance decommissioned their historical data API, Python developers looked for a reliable workaround. As a result, my library, fix-yahoo-finance, gained momentum and was downloaded over 100,000 acording to PyPi. fix-yahoo-finance aimed to offer a temporary fix to the problem by scraping the data from Yahoo! Finance and returning a the data in the same format as
  • Trading and investing performance – year five [Investment Idiocy]

    Hard to believe, but it has been five and a half years since I had to go to an office to manage other peoples money, and exactly five years since I began systematically trading my own. Time then for another annual review. Perhaps it is confusing for overseas readers, but these reviews follow the UK tax year which runs from 6th April to 5th April, rather than any logical period like a calendar year
  • Classification of Market Regimes [Quant Dare]

    Understanding classification of market regimes is fairly important in finance. It all comes down to correctly predicting the way prices are going to move. But prediction isnt the only crucial thing; knowing how to describe what has already happened is also of great importance. In this QuantDare post we look at types of classification of markets. We concentrate on their differences and suggest

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