When would it be used? When wanting to be filled urgently using a wide range of liquidity sources. What does it do? ORCA-Direct uses liquidity from UBS Principal, ECNs & correlated Futures instruments. How does it work? Checks visible liquidity and calculates the price that could be achieved from it Also checks the CME to […]
With the introduction of MiFID II, best execution has become a necessity in all asset classes including FX. TCA can help us to determine the cost of our trading, and in particular ways of reducing it. However, what is the best way to do transaction cost analysis?
The Crédit Agricole Group is the world’s number 13 bank measured by Tier One Capital and, as the No. 1 retail bank in France, is the leading financial partner of the French economy. CACIB is therefore uniquely placed in the market, having strong connections into local markets across Europe and emerging markets globally.
Quod Financial recently published a Whitepaper exploring the growing interest in AI and Machine Learning for use in trading and execution purposes across the Capital Markets. One specific area that was examined focused on the reasons why the Execution Management System was a particularly good candidate for deploying AI and ML. In this article we publish an extract from the Whitepaper looking at the potential applications of these new technologies for optimising algo trading parameters in the EMS space.
Oxford university’s Saïd business school is launching a course in algorithmic trading, The Oxford Algorithmic Trading Programme is delivered in collaboration with GetSmarter and is led by a powerful team of global experts who share their knowledge in the form of industry insights, videos and discussions.
While many firms tend to pick a strategy or two and stick with that, Pecora Capital LLC prefers to mix things up. The Swiss-based macro investment management firm uses a variety of algo-based systems to navigate the world’s FX markets.
To give a trading system the highest probability of success under unknown market conditions it is important to understand the sources of bias associated with the system creation process and carry out the necessary steps to reduce these biases to their minimum possible value.
Heavy scrutiny of FX trading practices in recent years has driven an increased focus on best execution, but while algorithmic execution can sometimes outperform traditional channels, it needs to be supported by robust TCA technology. Joel Clark investigates.
Both equities and FX are continuous two-sided quote-driven markets, which creates fundamental similarities. Equity and FX algos therefore offer many of the same fundamental benefits.
