capacity manager optimize investor capital

Capacity Manager: Optimize & Manage Investor Capital

16 May 2018

This post sheds light on the new Capacity Management tool, designed from the ground up to give traders more control over the capital invested in their DARWINs, while offering total transparency to investors. What does a Trader need to make a living off his passion? There is no easily applicable magic formula to achieve this, […]

3 main advantages of becoming a DARWIN provider

3 Reasons Why You Should Have A DARWIN

16 January 2018

In this post, we are going to explain the 3 main advantages of becoming a DARWIN provider. But before you start reading it, let me ask you 3 simple questions: Are you a trader? Are you even a talented trader? Do you dream of living off your trading talent but have no assets under management […]

Setting up a DARWIN Data Science Environment

How To Identify Overfit Trading Strategies

15 November 2017

In this post, we describe the main features and behaviours of overfit trading strategies, and the risks they pose to both traders and DARWIN investors. Overfit trading strategies typically perform well in backtesting environments, creating the illusion that they exploit the market inefficiency being targeted, really well. However, when deployed in a live trading environment, […]

Increasing investment capacity through leverage on the Darwinex platform

8 August 2017

If as a DARWIN investor you have the leverage option enabled, there is a way to increase your investment amount in the event that you have a profitable open position in a given DARWIN.   By way of example, let’s assume that: We have €5,000 invested in a DARWIN, The open P/L is €1,000. The […]

$DWC 1-Minute Differenced Series

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 […]

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“) […]