Explore the revolutionary impact of Generative AI in fintech through our comprehensive whitepaper. Uncover practical insights and strategic guidance on AI integration, from software development and testing to operational enhancements. Learn from our detailed case studies and prepare your organization for the future of AI in the fintech industry.
Tag: AI
Whitepaper: The AI-driven OMS
What are the “Quick Wins” that the financial industry can achieve by integrating AI into traditional OMS, and how can these transformations enhance trading efficiency and risk management?
Generative Artificial Intelligence in Fintech: A Journey
The rapid evolution of Artificial Intelligence (AI) is transforming the landscape of the fintech industry. With the release of OpenAI’s ChatGPT in November 2022, AI has captivated public interest, sparking both awe and concern. This whitepaper delves into the impact of Generative Artificial Intelligence (GenAI) on the fintech sector, detailing our experiments, insights, and strategic vision at Quod Financial.
What is the value of data at the trading desk?
Historically, many decisions taken by traders have relied on subjective expertise, which is influenced by individual bias and emotion. Today, data eliminates that problem, offering more transparency in trading decisions.
Trading Resilience Using Machine Learning and Test Automation
There is no doubt that financial markets are increasing in complexity. Much of this complexity is fuelled by the digital transformation and adoption of emerging technologies that are at the top of many financial institution’s strategic agendas.
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
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.
Quod Financial utilising Machine Learning & AI in Trading
Chief Revenue Officer, Medan Gabbay, discussing how trading is changing through Machine Learning. “Machine Learning is equivalent in significance to the original electrification of trading, those people who aren’t taking advantage of it are going to get left behind really very quickly” Questions asked: 1.) How is Artificial Intelligence and Machine Learning going to change what traders do? 2.) What … Read More
Quod Financial – The Predictive Peg
Quod’s NEW Predictive Peg Algorithm delivers Price Improvement over static Peg on 99.213% of Trades The Predictive Peg algo is Quod’s latest development in their goal to deliver state-of-the-art trading capabilities to top tier institutions. It is yet another example of Quod’s commitment to innovation and further improving their data-driven approach to execution. There is heavy investment in Machine Learning … Read More
TradeTech Europe 2019 – Quod’s Debrief
TradeTech Europe 2019 was a huge success for the Quod team. Quod cemented their position in the market as the #1 Smart Order Routing & sellside technology provider, and also opened new doors as they continue to expand their footprint as a buyside technology provider / OMS & EMS. Q: What are the 4 key attributes of a SOR Q: … Read More
Machine Learning & AI for Trading and Execution – July 2018
The Role of Machine Learning and AI in trading and execution. WHY AI AND WHY NOW? Interest in Artificial Intelligence (AI) is exploding and all businesses consider it a prime futurereshaping initiative. To understand AI we can first look at the context of Information Technology (IT) history and evolution: IT progress is written on a 10-year generational shift, driven by … Read More
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