Jiri Pik is an artificial intelligence architect and strategist who works with major investment banks, hedge funds, and other players. We also provide a PDF file that has color images of the screenshots/diagrams used in this book. List of packages and dependencies can be found in the environment.yml file With the following software and hardware list you can run all code files present in the book (Chapter 1-9). Beginner-level working knowledge of Python programming and statistics will be helpful. If you are looking for a practical guide to backtesting algorithmic trading strategies and building your own strategies, then this book is for you. This book is for data analysts and financial traders who want to explore how to design algorithmic trading strategies using Python’s core libraries. If you feel this book is for you, get your copy today!Īll of the code is organized into folders.įig, (ax1, ax2, ax3, ax4) = plt.subplots(4, figsize=(12, 12), sharex=True)Īx1.plot(x, y1, color='black', linestyle='-', linewidth=5, marker='x', markersize=15)Īx2.plot(x, y2, color='green', linestyle='-.', linewidth=2, marker='^', markersize=10, alpha=0.9)Īx3.plot(x, 圓, color='red', linestyle=':', marker='*', markersize=15, drawstyle='steps')Īx4.plot(x, y4, color='green', linestyle='-', marker='s', markersize=15)įollowing is what you need for this book: Build and deploy backtesting algorithmic trading strategies.Apply scientific computing and data visualization with popular Python libraries.
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