Time flies, and it's time for another annual update on the performance of my own investment and trading. Previous updates can be found here, here and here. These updates follow the UK tax year; from 6th April to 5th April, as I have to do my taxes anyway it makes sense to analyse everything at

As most of you know my last proper job (part time lecturing and occasional consulting gigs do not count) was managing the fixed income portfolio for AHL, a large systematic hedge fund. I had the pleasure of that job from late 2010 until mid 2013. It's fair to say that the main topic of

September 18th is the official publishing date of my second book, "Smart Portfolios: A practical guide to building and maintaining intelligent investment portfolios (Harriman House, 2017)". This blog post will give you some more information about the book, and more importantly help you

... is now ready for pre-order. For more information see the website, here: https://www.systematicmoney.org/smart To pre-order you can go here: https://www.harriman-house.com/smart-portfolios

It is a common misconception that the most important thing to have when you're trading, or investing, systematically is good trading rules. In fact it is much, much, much more important to have a good position management framework (as discussed in my first book) and to trade a diversified set

"Today the VIX traded below 10 briefly intraday. A pretty rare occurrence. Since 1993, there have been only 18 days where it traded below 10 intraday and only 9 days where it closed below 10." (source: some random dude on my linkedin feed) ... indeed 18 observations is a long.... long...

As you'll know if you've been following any of my numerous social media accounts I spent the weekend in New York at QuantCon, a conference organised by Quantopian who provide a cloud platform for python systematic trading strategy backtesting. Quantopian had kindly invited me to come and

This is the final post. Not the final post of the blog; which may be good news or bad. But the final post in my short series on using the new native python API for interactive brokers. Having got some prices and submitted some orders we want to know whether we made any money or not; and what

This the fourth in a series of posts on using the native python API for interactive brokers. You should read the first, second, and third, before this one. It is an updated version of this older post, which used a third party API (swigibpy) which wraps around the C++ API. I've changed the code,

This the third in a series of posts on using the native python API for interactive brokers. You should read the first, and the second, before this one. It is an updated version of this older post, which used a third party API (swigibpy) which wraps around the C++ API. I've changed the code, but

This is the second in a series of posts on how to use the native python API for interactive brokers. This post is an update of the post I wrote here, which used the 3rd party API swigibpy. Okay so you have managed to run the time telling code in my last post. Now we will do something a bit more

Until quite recently interactive brokers didn't offer a python API for their automated trading software. Instead you had to put up with various 3rd party solutions, one of which swigibpy I use myself. Swigibpy wrapped around the C++ implementation. I wrote a series of posts on how to use it,

This post is about a slightly obscure, but very important, issue. Should we use geometric or arithmetic means of returns to evaluate investments? This might seem boring, but answering this will help us with some other serious problems: Does diversification increase the expected value of your

This post is about using Docker - a containerisation tool - to run automated trading strategies. I'll show you a simple example of how to use Docker with my python back testing library pysystemtrade to run a backtest in a container, and get the results out. However this post should hopefully be

As the casual reader of this blog (or my book) will be aware, I like to delegate my trading to systems, since humans aren't very good at it (well, I'm not). This is quite a popular thing to do; many systematic investment funds are out there competing for your money; from simple passive

This post is about how should you adjust the trading capital you have at risk given the profitability (or not) of your trading account. I'm posting this for three reasons. Firstly it's a pretty important topic. I address, in some detail, how to set your risk target for a given amount of

Breakout. Not the classic home arcade game, seen here in Atari 2600 version, but what happens when a market price breaks out of a trading range. The Atari 2600 version was built by Wozniak with help from Jobs exactly 40 years ago. Yes that Wozniak and Jobs. Source: wikipedia In this post I'll

In a previous post I showed you how to use my open source python backtesting package, pysystemtrade, to estimate forecast weights and instrument weights. At the time I hadn't included code to calculate costs. Now that has been remedied I thought I should also write some code to demonstrate the

I get occasional emails asking me to cover subjects in my blog (keep them coming! I will eventually get round to them). A pretty common one runs something like this: "I understand that diversification over instruments is the best way to improve returns- you trade almost 40 futures markets, and

Or why you aren't, and will never be, John Paulson The systematic versus discretionary trading argument is alive and well; or if you prefer, computers versus humans*. In this post I pose the question - who is better the average systematic trader, or the average discretionary human? * Though

This post serves three main purposes: Firstly, I'm going to explain the main features I've just added to my python back-testing package pysystemtrade; namely the ability to estimate parameters that were fixed before: forecast and instrument weights; plus forecast and instrument

I've just added the ability to estimate forecast scalars to pysystemtrade. So rather than a fixed scalar specified in the config you can let the code estimate a time series of what the scalar should be. If you don't understand what the heck a forecast scalar is, then you might want to read

There are already many python packages where you can back test trading strategies. Some of them also include a framework for automatic execution and complete position management. I can't give an exhaustive list but I'll pick out: - Quantopian's zipline - BT - pythalesians -

Everyone knows that the usual naive method of portfolio optimisation is, well, a bit rubbish. This isn't because the method is flawed, but it relies on the inputs being 100% accurate, or to put it another way we need to know precisely what the mean, volatility and correlation of future returns

Just a quick post today. As most of you know until a couple of years ago I worked for a large systematic hedge fund. Now I manage my own money. I'm doing similar things (systematically trading futures, with a holding period averaging a few weeks, and a variety of trading rules with a trend

Everyone hates drawdowns (those periods when you're losing money whilst trading). If only there was a way to reduce their severity and length.... Quite a few people seem to think that "trading the equity curve" is the answer. The basic idea is that when you are doing badly, you reduce

As you might expect I spend quite a lot of my time using real financial data - asset prices and returns; and returns from live and simulated trading. It may surprise you to know that I also spend time examining randomly created financial data. This post explains why. I also explain how to generate

I've had a request for the code used to do the optimisations in chapter 4 of my book "Systematic Trading" (the 'one-period' and 'bootstrapping' methods; there isn't much point in including code to the 'handcrafted' method as it's supposed to

This is a brief post aimed at those who have already bought a copy of "Systematic Trading" (by the way thanks!) As you've probably noticed I've included excel sheets here explaining the two trading rules I describe in the book - exponentially weighted moving average crossover

In my last post I had a bit of a controversial pop at a brilliant and successful billionaire hedge fund manager; Jim Simons. In continuing my futile quest to raise the level of debate in the quantitative investment community I thought I'd have a go at another clever and very wealthy guy, Cliff

Today is the big day. My book Systematic Trading - A unique new method for designing trading and investing systems is officially released (although some people who ordered the ebook may already be reading it). Here is a picture of my new "baby": Even in this age of technology there is

Driverless cars are, apparently, very close to commercial reality. I don't know about you but there is something pretty scary about a computer being completely in control of a complex process, which could have catastrophic consequences if it went wrong. Ah it was nothing. You should have seen

If you tell someone you're trading, the first thing they'll usually ask is "Have you made any money?" It isn't usually this easy to tell if a trader has made money or not Most traders I've known are pretty obsessed with that question as well. Knowing the answer to that

People often get systematic and automated trading mixed up. The latter is a subset of the first. You can't have a system which is fully automated if it relies on discretionary input, no matter how small. But you can have a system which needs a human to make it run, even though there is no

Isn't it pretty? The website, and pre-order page, for my magnum opus are now ready: www.systematictrading.org http://www.harriman-house.com/book/view/4598/trading/robert-carver/systematic-trading/ Like it says on the back "This is not just another book with yet another trading system. This

This is the third post in a series giving pointers on the nuts and bolts of building systematic trading systems. A common myth is that the most important part of a systematic trading system is the 'algo'. The procedure, or set of rules that essentially says 'given this data, what

Trading futures has one fairly substantial complication compared to many other assets. You can't just buy 'the CME Gold future'. There is no such thing. You need to select which delivery date future you are trading. Do you want to trade June 2015, July, August....? Once you've

A while ago I ran a series of posts on how you would write some python code to systematically trade using the interactive brokers C++ API. Whilst I hope this was helpful it was just a starting point. There are at least two major projects to undertake before one could actually trade. The first is the