£81.99

Algorithmic Trading Hands-On Approach Using Python

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Description

This comprehensive book is designed to guide you from the basics of algorithmic trading using Python to building fully automated trading systems, making it suitable for both beginners and experienced traders. It provides a clear, practical roadmap by combining essential theoretical concepts with hands-on examples. You'll start by exploring the fundamentals of algorithmic trading, managing leverage, and selecting the right assets, while learning key topics like market orders, liquidity, and data handling. You'll then set up your Python environment, using critical libraries such as Pandas and Matplotlib, and connecting to live broker APIs for real-time strategy testing. The book delves into advanced trading indicators like moving averages, regression analysis, and candle patterns, offering comprehensive coding examples for detecting and applying these techniques. Additionally, you’ll learn to program support and resistance levels, use Fibonacci retracements, and evaluate the performance of various indicators using statistical methods. It covers creating strategies tailored to different trading styles—scalping, day trading, swing trading—and provides detailed guidance on backtesting using key metrics like Sharpe, Sortino, and Calmar ratios. Monte Carlo simulations are introduced to ensure strategy robustness under varying market conditions, and the final chapters transition into fully automating your trading systems, including multi-asset trading alerts. Suitable for traders, data scientists, and Python developers, this book emphasizes practical coding and real-world applications, ensuring you stay updated with the latest trends in algorithmic trading and AI, while equipping you with the confidence to elevate your trading strategies.

Product Specifications

Format: paperback
ASIN: B0DJFS233Y
Category: Books > Subjects > Business, Finance & Law > E-Commerce > E-business
Domain: Amazon UK
Release Date: 30 September 2024
Listed Since: 03 October 2024

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Algorithmic Trading Hands-On Approach Using Python

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