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.
Tag: Adaptive Execution Platform
WHITE PAPER – Future of TCA and Machine Learning
Download the White Paper HERE! In an era where the risk-free interest rate never hovers above the low single-digits, low investment returns have become the norm. Lowering the cost of investment with efficient execution and streamlining costs is the most certain way to preserve overall investment performance. Managing the cost of execution is far more deterministic than an investment strategy … Read More
Archax partners with institutional-grade technology platform
Archax partners with Quod Financial for Digital Asset Order Management and Smart Order Routing Quod Financial, the advanced trading platform provider to the buy-side and sell-side, today announced a partnership with Archax, the forthcoming institutional digital securities exchange based in London. Under this partnership, Archax exchange access will be integrated into key elements of the Quod platform – including … Read More
TradeTech Europe (April 24th – 25th, 2019)
Quod Financial – TradeTech Europe (23rd – 24th April) Quod will be bringing an all star lineup to TradeTech Europe this year with Chief Revenue Officer, Medan Gabbay, accompanied by COO, Dr. Ben Sabet, and Sales & Head of Marketing, Matt Siredzuk. Due to high demand in the market, we will be demonstrating how we are helping both the Buy … Read More
Tosho Computer Systems and Quod Financial partner to provide automated trading systems for Japan
London and Tokyo, 08OCT2018: Tosho Computer Systems (TCS), a provider of Financial Services hosting including connectivity to every exchange in Japan, IT Outsourcing and IR support services; and Quod Financial, multi-asset trading platform; today announced a partnership to provide both fully hosted and enterprise solutions for Japanese Equities, Derivatives and FX trading. Japan is one of the main capital … Read More
AI/ML Whitepaper – Machine Learning and Artificial Intelligence in Trading and Execution
Quod Financial has released a new white-paper on Machine Learning & Artificial Intelligence in Trading and Execution. Machine Learning & AI for Trading and Execution: Interest in Artificial Intelligence (AI) is exploding and all businesses consider it to be a future-reshaping initiative. In this white-paper we explore: Origin of modern AI/ML What is Machine Learning A path to building Machine … Read More
Metzler Bank goes live with trading and execution platform from Quod Financial
AEP provides Metzler with a comprehensive trading and execution solution covering pre-trade risk management, algorithmic trading and smart order routing capabilities for equities as well as complete European market connectivity (including BATS / Chi-X, Turquoise).
Arqaam Capital goes live with Quod Financial’s trading and execution platform
Quod Financial announced today that Arqaam Capital (“Arqaam”), the specialist emerging markets investment bank, went live with its Adaptive Execution Platform (“AEP” or “the platform”).
Quod Financial Opens Office In Hong Kong for Asian Coverage
Quod Financial, provider of Adaptive trading technology, announced today that it has opened a new office in Hong Kong to serve the fast-evolving Asian-Pacific trading market.
Quod Financial Releases New Major Version – Gives higher performance and new functionalities
Quod Financial today announced that it has released a new version of its flagship Adaptive Execution Platform (AEP), which provides a new level of performance and additions to the product and SaaS offerings to the sell and buy-side community.
Quod Financial releases Mobile Trading for Retail Investors
Quod Financial today announced the release of a new version of its Adaptive Online Trader (AOLT) with the support of Mobile platforms.