Quantifying and Combining Crypto Alphas

In this article, I’ll take some crypto stat arb features from our recent brainstorming article and show you how you might quantify their strength and decay characteristics and then combine them into a trading signal. This article continues our recent articles on stat arb: A short take on stat arb trading in the real world …

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Ideas for Crypto Stat Arb Features

This article continues our recent articles on stat arb: In this article, I’ll brainstorm some ideas for predictive features that you could potentially use in a crypto stat arb model. The ideas draw insights from recent discussions and market observations, but of course, you should do your own research. In future articles, I’ll pick some …

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A General Approach for Exploiting Statistical Arbitrage Alphas 

Last week, I wrote a short article about statistical arbitrage trading in the real world. Statistical arbitrage is a well-understood concept: find pairs or baskets of assets you expect to move together, wait for them to diverge, and bet on them converging again. Simple enough. But making it work, especially at scale, is a little …

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The best places to get trading ideas

Steal them from other people If you know other people are making money trading an idea, it is often a good idea to pursue it too. This isn’t school. The market gods give no prizes for originality or showing your work. An edge is an edge however you got to it. But be smart about …

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How I use TradingView (and how to get 70%+ off)

​Disclaimer: the links in this post are affiliate links. If you use them to purchase a TradingView subscription, you’ll receive $15 in addition to the massive Black Friday discounts TradingView is currently running. We’ll receive a few dollars, too – so thanks in advance if you purchase using our link. I’m sure you’ve heard of TradingView. …

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Exponentially weighted covariance in an Equal Risk Contribution portfolio optimisation problem

The Equal Risk Contribution (ERC) portfolio seeks to maximally diversify portfolio risk by equalising the risk contribution of each component. The intuition is as follows: Imagine we have a 3-asset portfolio Assets 1 and 2 are perfectly correlated (correlation of 1.0) Asset 3 is uncorrelated with the other two (correlation of 0.0) Let’s say we …

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An Exponentially Weighted Covariance Matrix in R

Exponential weighting schemes can help navigate the trade-off between responsiveness and stability of the inherently noisy estimates we make from market data. We previously saw examples of calculating the exponentially weighted moving average of a vector, and estimating the correlation between SPY and TLT using an exponential weighting scheme [link]. In this article, we’ll implement …

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