LABS Latest Post

Quantitative Modeling for Algorithmic Traders – Primer

3 May 2017

Quantitative Modeling techniques enable traders to mathematically identify, what makes data “tick” – no pun intended 🙂 . They rely heavily on the following core attributes of any sample data under study: Expectation – The mean or average value of the sample Variance – The observed spread of the sample Standard Deviation – The observed […]

Hidden Markov Models & Regime Change: DARWINs vs. S&P500

24 April 2017

In this post, we will employ a statistical time series approach using Hidden Markov Models (HMM), to firstly obtain visual evidence of regime change in the S&P500. We will then compare the index’ performance to a DARWIN Portfolio, between June 2014 and March 2017. Detecting significant, unforeseen changes in underlying market conditions (termed “market regimes“) […]

DARWIN Filters: A Practical Alternative to Markowitz Portfolio Theory

14 April 2017

In 1952 [1], the great Harry Markowitz published a paper on portfolio selection that essentially set the stage for modern portfolio theory in a mathematical context. For those not familiar with this Nobel Prize winning economist [2], he devised a methodology whereby investors could mathematically evaluate the proportion of total available capital to allocate, to […]

Why Quantitative? – Serious Algorithmic Trading Series (Part 2)

20 March 2017

In case you haven’t already, you may wish to read the first two posts of the Serious Algorithmic Trading Series, here and here. Many individual traders will often hear the term “Quant” and may visualize either: A sharply dressed City trader working in a hedge fund, sat in front of his Bloomberg or Thomson Reuters […]

Serious Algorithmic Trading Series – Part 1

16 March 2017

Can individual traders really compete with large institutions?   This post is the first of a four-part “Serious Algorithmic Trading” series, introduced here. A trader will at one point or another, question how practical it is to compete with large institutions in the same markets. After all, it is “big money” at the end of […]

Serious Algorithmic Trading Series – Introduction

13 March 2017

You’ll learn how algorithmic trading differs substantially from “automated trading using technical analysis”. The two are in fact entirely different disciplines, as this series will demonstrate. You’ll also learn that contrary to popular opinion, algorithmic trading is not synonymous with “automated trading”, though a large percentage of algorithmic trading systems today are indeed automated. We’ll […]