Handbook of high frequency trading and modeling in finance pdf

Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume [1] to send small slices of the order child orders out to the market over time. They were developed so that traders do not need to constantly watch a stock and repeatedly send those slices out manually. In the twenty-first century, algorithmic trading has been gaining traction with both retail and institutional traders. The term is also used to mean automated trading system. These do indeed have the goal of making a profit. Also known as black box trading , Quant or Quantitative trading , these encompass trading strategies that are heavily reliant on complex mathematical formulas and high-speed computer programs. Such systems run strategies including market making , inter-market spreading, arbitrage , or pure speculation such as trend following.

Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance.
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