Algorithmic and High-Frequency Trading (Mathematics, Finance and Risk)

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  • Algorithmic and HighFrequency Trading Mathematics Finance and Risk
  • How high frequency trading works
  • Types of Algorithmic Trading Strategies
  • "Basic Statistical Arbitrage: Understanding the Math Behind Pairs Trading" by Max Margenot
  • The Dangers Of Algorithmic Trading In The Stock Market
  • Master of Quantitative Finance and Numerix
  • The mechanics of financial markets w/ Peter Zhang of Sang Lucci
  • Algorithmic Trading & Quantitative Finance
  • Building Quant Equity Strategies in Python
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The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the book for you.

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