Quantnews Monthly Digest | September

Your monthly news & research update for all things quant trading

This month champion trader Andrea Unger* taught us how to build adaptive trading strategies for changing market conditions. We took a deep dive into the software and hardware needed to run a trading system, learned how to backtest an EMA trading strategy using Python, and chatted with FX researcher Steven Riddiough* on the use of volume data in his FX market research.

In the Spotlight

Andrea Unger*, 4-time winner of the World Cup Trading Championship®, partnered with QuantNews to teach traders adaptive trading strategies for changing markets. Discover trade ideas for trend following and counter-trend strategies and learn how you can create a robust strategy for varying market conditions. Watch the recording now!

New this month

RESEARCH: From Retail to Professional: Five Technology Tips, Part 1

You’ve spent countless hours carefully researching your strategy and meticulously programming your algo, now it’s time to find the best software and hardware to run your algo ensuring minimum latency and maximum computing power. If you’re a serious algo trader you won’t want to miss this two-part series.

TUTORIAL: A Simple Way to Backtest a Strategy in Python

In this tutorial you will learn how to create a simple backtest for an EMA strategy using Python. You’ll find out how you can create a free API token so you can access historical price data and perform your own backtest. Create your algo-enabled demo account and follow along.

INTERVIEW: Steven Riddiough* on Volume and Alternative Data in FX

FX research expert Steven Riddiough* discusses his recent study on the predictive insight of volume data in the FX markets and walks us through his process for finding and using alternative data in his research. Read on to learn more about his research, or click here to download free FX volume datasets.

Upcoming Events

Live in London: 17 October 2018 | 18:30-20:30 BST (GMT+1)

Join us to learn applications of FX/CFD Algo Trading Strategies in Python as presented by professional trader Rob Carver*, as well as a practical session by FXCM presented on free APIs and algo trading resources.

Live in Dublin: 24 October 2018 | 18:30-20:30 BST (GMT+1)

Join us for a live hands-on training session where we learn How to use Super-Brain Power when Building Successful Algorithms as well as a practical session by FXCM presented on free APIs and algo trading resources.

Contact algotrading@fxcm.com for more information and to RSVP.

Like Free Stuff?

So do we. See the links below to access free data for backtesting, connect to our web-based REST API, or find a library of sample code for building your algo.

If you have any questions, please contact us at inquiries@quantnews.com.

Risk Warning: The FXCM Group does not guarantee accuracy and will not accept liability for any loss or damage which arise directly or indirectly from use of or reliance on information contained within the webinars. The FXCM Group may provide general commentary which is not intended as investment advice and must not be construed as such. FX/CFD trading carries a risk of losses in excess of your deposited funds and may not be suitable for all investors. Please ensure that you fully understand the risks involved.