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Algorithmic Trading.pdf

August 25, 2008 · Filed Under Trading  · Tags: , ,

Differentiating between the algorithmic trading offerings of brokers remains a problem for the buy-side. At the same time, brokers are searching for ways to achieve competitive edge and raise the profile of their algorithmic trading capabilities. These issues have to be overcome to realize the exponential growth that is forecast for algorithmic trading.

The TRADE in association with leading industry participants drawn from the brokerage and vendor communities has set out to bring clarity and thought-leadership to the issues that are driving developments in the algorithmic space by publishing ‘A buy-side handbook on algorithmic trading’.

Part 1, ‘Market and mechanics’, examines what is driving the growth of algorithmic trading, focusing on the rapidly evolving shape of the market. Insights are offered into how algorithms work and the relative merits of broker-driven versus broker-neutral algorithms are quantified.

Part 2, ‘Honing an algorithmic trading strategy’, highlights the issues that buy-side traders must address once the decision has been taken to adopt an algorithmic strategy. Selecting an appropriate trading benchmark, the importance of anonymity to stem information leakage, applying stealth through sophisticated gaming theory, and customization of broker algorithms are all addressed here.

Part 3, ‘Quantifying and enhancing value’, focuses on measuring and interpreting the performance of disparate broker algorithms, the value added through independent third-party transaction cost analysis and the role of technology in enhancing market access.

Part 4, ‘Emerging trends and future direction’, covers ‘next generation’ algorithms, focusing on implementation strategies for basket trading and the shape of the market going forward, when competition and increased buy-side demand will call for a higher order of intelligence in engineering algorithms.

This Trading ebook is available FREE at The Trade News website, we merely collect the information, we are neither affiliated with the author(s), the website and any brand nor responsible for its content and change of content. (Read our disclaimer here or here before you download the document from the website written above by clicking the below link).

Download free Algorithmic Trading.pdf (32 pages pdf file, 1 MB).

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