This is a summary of links featured on Quantocracy on Friday, 04/26/2019. To see our most recent links, visit the Quant Mashup. Read on readers!
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Building a Robinhood Stock Trading Bot (h/t @PyQuantNews) [Kevin Guo]This is probably my favorite side project Ive done. Ive always been interested in algorithmic trading, and its exciting to code something that can potentially repay you in the form of cold, hard cash. The bot is written in Python and relies on two core libraries for the majority of its functionality: robin-stocks and ta. robin-stocks is a library that interacts with the Robinhood API and
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When to Buy the Dip (h/t @PyQuantNews) [Osho Jha]Motivation: Buy the dipits a frustratingly simple piece of advice. Like most pieces of advice, its easier said than done and the giver of such advice has probably not attempted to practice what they preach. It induces FOMO, which leads to the hope trade, when the hope trade goes awry youre stuck as the long term investor who really believes in the
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Buyer Beware: The Reality of Tax-Loss Harvesting Benefits [Alpha Architect]Tax loss harvesting is widely promoted, but we think the benefits are generally misunderstood and often overstated.(1) The benefits of loss harvesting arise from tax deferral, similar to the benefits of saving in a retirement account. The benefits of tax deferral rise and fall with expected returns and the benefits are inversely related to future tax rates. Due to the wash sale rule,
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Is News Sentiment Still Adding Alpha? [EP Chan]Nowadays it is nearly impossible to step into a quant trading conference without being bombarded with flyers from data vendors and panel discussions on news sentiment. Our team at QTS has made a vigorous effort in the past trying to extract value from such data, with indifferent results. But the central quandary of testing pre-processed alternative data is this: is the null result due to the lack