We’re changing the way people think about algorithmic trading with services built for a new generation of investors.

We use artificial intelligence to create valuable trading models that run as part of a sophisticated infrastructure and allow for autonomous high performance trading.

In order to produce robust and viable trading models our research is based on data and statistics. We have fully automated our trade execution which allows us to make the trades that we expect, at the right costs.

We are constantly searching for new factors that may better capture known or reflect new drivers of returns. Our system learns from the market and our past performances to predict future prices as accurately as possible.

OUR METHODS

Making sense of the market and knowing when to act is not an easy task. It means getting the details just right, time and time again.

DATA SCIENCE

Understanding the market

We analyse tremendous amounts of market data to find indicators and features we can use to train and validate our models.

For us, data is everything and all of our decisions are based on it.

MACHINE LEARNING

Devising strategies

Machine learning is one of the tools we use to get the most out of all the data and features we gather.

It allows our models to learn from changes in the market and act on patterns we humans wouldn't even be able to see.

INFRASTRUCTURE

Putting the models to work

In order for the signals from our trained models to result in actual trades being made, we run a robust and scalable pipeline capable of making hundreds of trades a second without any human intervention.

It's what makes all the hard work come together.

Who we are

We are a team of data and computer scientists who have a passion for developing AI systems.

We have been in the industry for over ten years and use our combined experience to create the best trading systems we possibly can.

How to reach us

If you have any questions regarding our services or if you are thinking of investing in crypto, please feel free to reach out to us using the email address below.