Tag: quantconnect

Blackarbs Retirement Strategy Algorithm Debut (Part 1)

Join the growing Blackarbs Research Group Discord community here Get access to the strategy that has returned 48% in live trading since this article was written here (Updated: 2024-Mar-02) Mission Recap Blackarbs current mission is to create automated strategies with the goal of beating the market with superior risk adjusted returns. Originally, I wanted to illuminate some of the more hidden aspects of markets and investing that I found interesting and of value. Over time, that goal crystall

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The Secret to Shorting Stocks

This post contains affiliate links. An affiliate link means Blackarbs may receive compensation if you make a purchase through the link, without any extra cost to you. Blackarbs strives to promote only products and services which provide value to my business and those which I believe could help you, the reader. Misinformation is everywhere. Many people believe the key to successful short selling is simply the inversion of a successful long strategy. I also used to believe this, among other short

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Introducing the Take Profits Strategy Subscription

Before I address the topic of this post, I want to provide a little background context for the new initiatives of Blackarbs. If you want to skip to the offer just click this link. The Beginning I started my career in finance, fresh out of college in 2008/2009, at a proprietary trading shop. At that time, I had very little experience trading, but due to the referral of a good friend, in combination with my background in low-stakes no-limit hold-em poker, I was able to land the job. It was an e

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Mixture Model Trading (Part 5 - Algorithm Evaluation with pymc3)

Post Outline * Recap * Chapter Goals and Outline * Links * Embedded Jupyter Notebook Recap See <Mixture Model Trading (Part 1, Part 2, Part 3, Part 4, Part 5, Github Repo)>. This research demonstrates a systematic trading strategy development workflow from theory to implementation to testing. It focuses on the concept of using Gaussian Mixture Models as a method for return distribution prediction and then using a simple market timing strategy to take advantage of the predicted asset retu

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