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Quantocracy’s Daily Wrap for 05/17/2019

This is a summary of links featured on Quantocracy on Friday, 05/17/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • The Future of QTPyLib [Ran Aroussi]

    I released the first version of QTPyLib, my Python library for algo traders, in 2016. If you had told me then that I would still be working on it three years later, I probably wouldn't have believed you. But guess what? That's precisely where I'm doing 🙂 The first release of QTPyLib was a basic engine for live trading using Interactive Brokers. That's it. Nothing more. Nothing
  • Financial Experts Ignoring Better Statistical Methods? [CXO Advisory]

    Why are expert economic and financial (econometric) forecasters so inaccurate? In his April 2019 presentation package for a graduate course at Cornell entitled The 7 Reasons Most Econometric Investments Fail, Marcos Lopez de Prado enumerates shortcomings of standard econometric statistical methods, which concentrate on multivariate linear regressions. In contrast, advanced computational

Filed Under: Daily Wraps

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