In this Connors Research Traders Journal, we are going to show you how Python and Quantopian can take your trading and strategy testing abilities to the next level. We’ll share with you a strong performing, relative momentum strategy which trades individual US equities, dynamically choosing the strongest stocks from a 500 stock universe. This simple to… [Read More]
I’m happy to announce I’ve just written a new book, Buy The Fear; Sell The Greed – 7 Behavioral Quant Strategies for Traders. The book breaks new ground by combining behavioral finance with quantitative analysis. The strategies in the book are systematic, simple to apply, and have high historical test results. If you would like to learn more about Buy The Fear; Sell The Greed… [Read More]
Popular wisdom is that the stock market needs quantitative easing (QE) to continue in order to continue moving higher. When minutes from the Federal Reserve’s September meeting were released, traders learned that the decision to continue buying $85 billion worth of bonds every month was a close call. Although they voted to continue the purchases,… [Read More]
What is Pair Trading? Pair trading is the strategy of trading two securities simultaneously, one long and one short. These trades combined constitute a pair. Pair Trading was developed as a strategy that seeks to generate significant and consistent returns while controlling risk by maintaining a low correlation to broader market averages. Pair Trading is… [Read More]
This article will show you some of the most common trading strategies and also how you can analyze the pros and cons of each one to decide the best one for your personal trading style. The top five strategies that we will cover are as follows: Breakouts Breakouts are one of the most common techniques… [Read More]
To conclude our series on creating a custom trading strategy we’ll explores varying exit methods, and detail the role stop losses can play in the strategy’s overall performance. Learn about the final piece in the puzzle you’ll need to start developing your own quantified trading strategies.
Join Senior Research Matt Radtke for this latest installment on building a custom trading strategy, where weÆll further refine our strategy by adding additional entry filters and delve through the test results to identify the greatest performing variations.
For the 4th installment of our strategy creation guide, Matt Radtke explores how performance can be evaluated through a detailed look at back-testing, and begins the process of refining our strategy.
In the latest installment of our trading strategy creation series, Matt Radtke explores the selection process for a testing universe with a special focus on liquidity.
For the 2nd part of our strategy building series, Senior Research Matt Radtke lays down the foundation for a quantifiable thesis that can be objectively tested as we move forward.