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All posts by Mike Halls-Moore

Beginner’s Guide to Quantitative Trading

Quantitative trading

In this article I’m going to introduce you to some of the basic concepts which accompany an end-to-end quantitative trading system. This post will hopefully serve two audiences. The first will be individuals trying to obtain a job at a fund as a quantitative trader. The second will be individuals who wish to try and set […]

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Successful Backtesting Of Algorithmic Trading Strategies, Part 2

In the first article on successful backtesting we discussed statistical and behavioural biases that affect our backtest performance. We also discussed software packages for backtesting, including Excel, MATLAB, Python, R and C++. In this article we will consider how to incorporate transaction costs, as well as certain decisions that need to be made when creating […]

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Successful Backtesting of Algorithmic Trading Strategies, Part 1

This article continues the series on quantitative trading, which started with the Beginner’s Guide and Strategy Identification. Both of these longer, more involved articles have been very popular so I’ll continue in this vein and provide detail on the topic of strategy backtesting. Algorithmic backtesting requires knowledge of many areas, including psychology, mathematics, statistics, software […]

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Can Algorithmic Traders Still Succeed At The Retail Level?

It is common, as a beginning algorithmic trader practising at retail level, to question whether it is still possible to compete with the large institutional quant funds. In this article I would like to argue that due to the nature of the institutional regulatory environment, the organizational structure and a need to maintain investor relations, […]

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Top 5 Essential Beginner Books For Algorithmic Trading

Algorithmic trading is usually perceived as a complex area for beginners to get to grips with. It covers a wide range of disciplines, with certain aspects requiring a significant degree of mathematical and statistical maturity. Consequently, it can be extremely off-putting for the uninitiated. In reality, the overall concepts are straightforward to grasp, while the […]

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Self-Study Plan for Becoming a Quantitative Trader – Part II

In the previous article on studying to become a quant trader we touched on the importance of statistical and machine learning. Many of you contacted me in regard to the “state of the art” of such machine learning methods, and how they’re applied in the quant finance world. In this article I want to outline the resources […]

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Self-Study Plan for Becoming a Quantitative Trader – Part I

Quantitative trader roles within large quant funds are often perceived to be one of the most prestigious and lucrative positions in the quantitative finance employment landscape. Trading careers in a “parent” fund are often seen as a springboard towards eventually allowing one to form their own fund, with an initial capital allocation from the parent employer and a list […]

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How To Identify Algorithmic Trading Strategies

In this article I want to introduce you to the methods by which I myself identify profitable algorithmic trading strategies. Our goal today is to understand in detail how to find, evaluate and select such systems. I’ll explain how identifying strategies is as much about personal preference as it is about strategy performance, how to […]

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