Preface
Algorithmic trading combines statistical models, programming, and quantitative methods to systematically trade financial assets. Markets now generate orders of magnitude more data than a discretionary trader can process, and the firms producing the best risk-adjusted returns are the ones with the most disciplined research, backtesting, and execution infrastructure. Python for Algorithmic Trading Cookbook, Second Edition gives you 68 hands-on recipes across 15 chapters to design, backtest, and deploy your own algorithmic trading strategies in Python. The code spans 51 annotated Jupyter notebooks and 17 modular Python trading applications, plus four GPU-accelerated research scripts.
Most trading books still focus on technical analysis indicators ...
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