In textbooks, one often sees pairs trading algorithms start by regressing prices of Asset A on Asset B to calculate a hedge ratio. I’ve rarely seen anyone actually do this in the real world. That’s because it is a very unstable thing – especially for a pair of volatile assets, and especially over a large …
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 …
The first fundamental problem traders run up against is that there’s no beginners’ market. You have to compete for good prices with the best in the market. This is a problem. There are a lot of people better at markets than you. If you approach trading in a gung-ho manner, it’s basically like playing in …
Your job, as a trader, is to take all the information we have available now and make a judgment on whether something is trading at the right price or not, given things you can know here: Is it the wrong price? Can we buy it too cheap, or sell it too rich? Let’s say we …
Lately, I’ve been thinking a lot about the Volatility Risk Premium (VRP). The VRP makes much more sense (to me, at least) when I have the Equity Risk Premium (ERP) for context and comparison. So, in this article, I want to discuss the ERP and the VRP, their similarities and differences, and how I seek …
I want to discuss a couple of simple trade-off considerations around quant trading signals that may not be obvious. Here’s the price of some asset: Our main job is to predict how it’s likely to move. To do this, you use information about it that you think is predictive. And at any point in time: …
If you try to teach yourself quant trading from the internet or from scientific papers, you run the risk of spending a lot of time majoring on minor stuff. You see it on Twitter all the time. Well-meaning beginner kwants are spending time worrying about niche modelling or inference techniques rather than trying to understand …
In 2021, James, I, and a small team decided to set up a crypto trading venture. We faced several problems, but knowing almost nothing about crypto was the most significant. We sensed that the fractured, developing nature of the crypto market would likely be a good place to seek out inefficiencies, but beyond that, we …
When you do anything with data, you should think about the intuition of each thing you do, and what it represents “in the real world”. Let’s take the example of log returns, which some people tell me they find confusing. Consider an asset whose price goes from $100 to $200 Assume there are no other cash …
Alpha isn’t just about finding people willing to trade at bad prices. Although that’s a necessary condition, it’s not enough. We also need to know why people are willing to buy too expensive or sell too cheap. The reasons are pretty simple: The first reason requires the existence of other uninformed traders, or what some …
