Hedge Fund DevOps and Multi-Cloud Kubernetes

Hedge Fund DevOps and Multi-Cloud Kubernetes

Challenge One of our existing clients had been using their own machine learning strategies to develop an in-house platform in order to produce trading signals from a range of alternative datasets. The 4-person development team had been running for six months, working...
Artificial Intelligence and Compliance: the “RegTech” Movement

Artificial Intelligence and Compliance: the “RegTech” Movement

The revolution in regulatory technology (“RegTech”) sees human cognition applied to reducing risks and costs Compliance and regulatory functions are still being performed using antiquated tools Through a suite of best of breed compliance and regulatory technologies,...
Machine Learning: Portfolio Management

Machine Learning: Portfolio Management

Portfolio choice is a non-trivial problem faced by economic agents. In a nutshell, it involves making a decision regarding how one should distribute one’s wealth across multiple assets. Distinct assets offer their unique outcome possibilities. The two dimensions...
Machine Learning: Factor Selection

Machine Learning: Factor Selection

Selecting factors is important in Quantitative Finance. Due to the explosion of information, it is becoming harder to select and monitor these factors without additional help such as using automatic algorithms. In machine learning, this topic is studied in the area...
Machine Learning: Practical Application in Trading

Machine Learning: Practical Application in Trading

Machine Learning Overview Machine learning is emerging. The technique backing technologies such as Google’s game playing AlphaGO, self-driving cars, and cancer diagnosis assistants, is now one of the more promising trends in the financial industry. Many of us have...