Algorithmic Trading
56 white papers and resources
Algorithmic Trading
Regime Forecasting using Machine Intelligence
This white paper looks into why it is important to understand market regimes, and the current approaches firms take in understanding these regimes. It goes further by discussing the different ways in which machine intelligence can provide solutions in creating strategies.
Special report: Unauthorised trading
Download this special report from Operational Risk & Regulation to find out why the risk of unauthorised trading grows from cultural and control problems and what can be learned from UBS’s $2.3 billion rogue trading loss uncovered in 2011. Read also an interview with Neil Roth, New York-based head…
Risk Books: High-Frequency Trading Extract
This is the survival guide for trading in a world where high-frequency trading predominates in markets, accounting for upwards of 60% of trading in equities and futures, and 40% in foreign exchange.
An introduction to the survival guide to commodity investing and trading
Stinson Gibner brings two decades’ worth of experience to Commodity Investing and Trading and discusses all aspects of the commodity markets, from fundamentals to how best to invest and trade in them.
Principles for Designing Agile Trading Platforms
Today’s trading operations face the challenge of maintaining software platforms that supports a constantly evolving business. To keep up with the pace of change, these organisations are demanding more and more of their trading platforms.
Execution analytics: real-time challenges and directions in institutional trading
This white paper looks at managing securities trading data based on a robust process and technology infrastructure. It studies real-time analytics and Complex Event Processing (CEP) and the roles they play in the management of diverse data sets.