LABS Derniers messages

Introducing DarwinexLabs – Prop Investing DARWINs

19 June 2017

Introducing DarwinexLabs We’re sending our Quant team on a new mission – and what better way to start than a new name? Introducing DarwinexLabs! What mission? DarwinexLabs’ next mission is to openly beat the market leveraging the DARWIN data-set. Why, and why now? Re-loaded introduces a new visual interface, but the bigger changes are under the hood. All diagnostic […]

DWC: Le DARWIN de Hedging / Couverture

18 June 2017

DWC est le tout premier produit de DarwinexLabs, et il est déjà listé sur notre place de marché! Ce post abordera Pourquoi DWC? Les leçons tirées au cours du processus de développement Comment les revenus de DWC seront partagés avec la communauté Comme vous le verrez à partir de cette publication, utiliser activement les données […]

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 […]

LVQ and Machine Learning for Algorithmic Traders – Part 2

14 June 2017

    In LVQ and Machine Learning for Algorithmic Traders – Part 1, we discussed and demonstrated a technique (Linear Vector Quantization) to decipher the relevance and relative importance of each feature variable in the dataset under study. In doing so, algorithmic traders would be able to isolate which of a dataset’s features (read: strategy […]

LVQ and Machine Learning for Algorithmic Traders – Part 1

8 June 2017

Algorithmic traders across all spectra of asset classes, often face a rather daunting challenge. What are the best inputs for an algorithmic trading strategy’s parameter space? Different algorithmic trading strategies (whether manual or automated) will each have their own unique set of parameters that govern their behaviour. Granted.. Genetic and Walk-Forward Optimization will help algorithmic […]

DARWIN Filters: A Practical Alternative to Markowitz Portfolio Theory

5 June 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 […]