Algorithmic trading refers to the computerized, automated trading of financial instruments (based on some algorithm or rule) with little or no human intervention during trading hours. Almost any kind of financial instrument — be it stocks, currencies, commodities, credit products or volatility — can be traded in such a fashion. Not only that, in certain market segments, algorithms are responsible for the lion’s share of the trading volume. The books The Quants by Scott Patterson and More Money Than God by Sebastian Mallaby paint a vivid picture of the beginnings of algorithmic trading and the personalities behind its rise.
This article shows you how to implement a complete algorithmic trading project, from backtesting the strategy to performing automated, real-time trading.
Source: Algorithmic trading in less than 100 lines of Python code – O’Reilly Media
