Data Science for CTRM using TradeCube

Trading organisations are increasingly using data science as a discipline to optimise and analyse the wealth of data available from CTRM platforms and elsewhere.

Traditionally, CTRM vendors have provided both standardised and customised reports as a primary data output from the system. The outputs were typically quite rigid and designed for an age where printed paper was the target medium.


CTRM Cubed are delighted to add Equias to the growing list of TradeCube ecosystem partners.

TradeCube now supports simple, automated, straight-through electronic confirmation matching, regulatory reporting, and settlement matching via the Equias electronic Back Office.

Instant CTRM in the cloud

Over the years, there has been a growing realization that building a commodity trading and risk management (CTRM) solution is not a trivial task. Indeed, quite the opposite. It is a hugely complex piece of software that can never seem to meet all the varied needs of all the different types of companies buying and selling commodities around the globe.

Discover self-service E/CTRM with TradeCube

CTRM software is complex. Why make it harder by needing a specialist team to manage and operate the system? TradeCube provides a self-service CTRM platform that reduces the need for operational support by providing a simple-to-use management interface and automating many of the previously manual tasks.

Instant CTRM with TradeCube SaaS

TradeCube accelerates the pace of CTRM with its speed of delivery. From instant setup and instant deployment through to instant upgrades and lightning-fast API, TradeCube brings the benefits of multi-tenanted SaaS to CTRM. Even complex tasks such as setting up new environments is completed with a few clicks.

Disruptive Technologies in Commodities

We see the decentralization of technology as a key theme over the coming years, delivered through several separate but related mechanisms. Decentralization is a progression of factors we have seen in recent years: the adoption of AI and algorithmic trading, blockchain and related technologies such as smart contracts; and a move from monolithic to ecosystem platforms. Decentralization becomes attractive to the commodity industry, primarily as a technology enabler, and in turn as a cost and risk reducer.