Tag: Capital Markets


Big data challenges in financial services

Dariush HessamiQuod Insights

Image on the big data challenges in financial services

Artificial intelligence (AI) and machine learning (ML) are transforming the e-trading landscape in capital markets. The availability, consistency, and consumption of high-quality data are the foundation of any AI/ML model. But what challenges do these big data themes bring to the industry?

DZ Bank AG selects Quod Financial’s Multi-Asset OMS / EMS to power their trading

Dariush HessamiNews

Quod Financial's Press Release about DZ Bank AG

DZ Bank decided to seek a technology provider who could offer a true Multi-Asset trading platform across Equities, Derivatives, Fixed Income and FX for the bank. The strategic goals of this project are to cover from in a comprehensive way Front-to-Middle office functions on a multi-asset basis, improving automation and intelligence across desks, and lowering costs through consolidation.

Evolution of Dark Pools

Medan Gabbay

Dark Pool Routing Introduction It is fast becoming accepted wisdom that systemic change has occurred in the Capital Markets. We hear increasingly strident voices telling us that markets are too fragmented; best execution is elusive and investors are being disadvantaged. One of the results of this popular criticism is that regulators, who were already under immense pressure to be seen … Read More