LABS Latest Post

Advantages of Trading $DWC vs. Other Assets

20 September 2017

This post describes some of the advantages of trading $DWC over other listed assets on the DARWIN Exchange. Click here to watch the Webinar Recording. The underlying fundamentals of DARWIN $DWC give rise to historically consistent behaviours in the asset that benefit both active and passive traders. Compared to any other DARWIN on the Exchange […]

ZeroMQ – How To Interface Python/R with MetaTrader 4

27 August 2017

In this post, we present a technique employing ZeroMQ (an Open Source, Asynchronous Messaging Library and Concurrency Framework) for building a basic – but easily extensible – high performance bridge between external (non-MQL) programming languages and MetaTrader 4.   Reasons for writing this post: Lack of comprehensive, publicly available literature about this topic on the […]

Hedging DARWIN Portfolio Risk with $DWC

18 July 2017

In this blog post, we’ll discuss how DARWIN Investors can diversify away some of the excess risk posed to their portfolios by Loss Aversion, a common and well-researched phenomenon in behavioural finance. In particular, we’ll discuss why it makes sense to include DARWIN $DWC in a portfolio that’s partially or entirely composed of loss averse […]

Mean Reversion Tests on DARWIN $DWC

9 July 2017

In a previous post – Quantitative Modeling for Algorithmic Traders – we discussed the importance of Expectation, Variance, Standard Deviation, Covariance and Correlation. In this post we’ll discuss how those concepts can be applied to DARWIN assets. As a practical example, we will employ a series of statistical tests to assess if DARWIN $DWC is […]

$DWC – A Real Time Sentiment Index & Security

5 July 2017

(We recommend you to watch this webinar,hosted by our beloved Integracore2, which is the perfect complement for the article you are about to read) Fundamental and Technical trading indicators have long been used as a proxy for market sentiment. But by definition, these indicators have always lagged the movements they’ve been used to forecast. With the […]

LVQ and Machine Learning for Algorithmic Traders – Part 3

17 June 2017

In the last two posts, LVQ and Machine Learning for Algorithmic Traders – Part 1, and LVQ and Machine Learning for Algorithmic Traders – Part 2, we demonstrated how to use: Linear Vector Quantization Correlation testing ..to determine the relevance/importance of and correlation between strategy parameters respectively. Yet another technique we can use to estimate […]

CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 71 % of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.