The foreign exchange (FX) market has significantly increased reliance on electronic channels in recent years. Refinitiv, states that more than 80 percent of spot market volume is now transacted electronically. This increase in electronic access to liquidity means that advanced technology solutions for choosing how to interact with liquidity are essential to every trading desk.
Category: Quod Insights
Four Key Qualities Of Smart Order Routing With Trade TV
Trade TV and Quod Financial talk about the four key qualities of Smart Order Routing (SOR). Watch the video.
Exploring the Challenges Facing the Sell-Side
Quod’s Medan Gabbay and Ian Mawdsley of Refinitiv discuss and analyze the challenges facing the sell-side, including reducing costs, remote trading, and artificial intelligence (AI) and machine learning (ML).
FX Smart Order Router: The Route to Better Automation
The foreign exchange (FX) market has significantly increased reliance on electronic channels in recent years. Refinitiv, states that more than 80 percent of spot market volume is now transacted electronically. This increase in electronic access to liquidity means that advanced technology solutions for choosing how to interact with liquidity are essential to every trading desk.
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.
How Do Synthetic Orders Simplify Trader Workflow?
Synthetic market orders is the ability to emulate TIF / behaviours / order types for venues which do not natively support them. This critical capability reduces rejections, simplifies trader workflows, and speeds execution. How does Quod’s system support traders in improving their trading through synthetic market order strategies?
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?
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