دانلود کتاب تسلط بر بازارهای مالی با پایتون -افق های جدید در تحلیل تکنیکال

Technical analysis plays a complex function in the world of financial markets, as traders are always looking for more accurate and reliable ways to interpret market behavior. For many years, traditional technical analysis has been a dependable toolkit due to its reliance on chart patterns and wellknown indicators like Bollinger bands and moving averages. However, the emergence of a new age in technical analysis—one that embraces the potential of sophisticated algorithms and overcomes the constraints of classical techniques—has been made possible by the introduction of modern computing power and the accessibility of large amounts of data. The book is intended for aspiring and professional traders who want to use the power of technology to obtain a competitive advantage in the markets, as well as coders who want to add more tools to their arsenal. Python, a strong and flexible programming language that has established itself as the industry standard for many market activities, is at the center of this change. You can move beyond static analysis and toward dynamic, data-driven insights that can adapt to ever-changing market conditions. Chapter 1 introduces everything you need to know to understand technical analysis and its applications to time series. In addition to being exposed to technical tools, you will end the chapter with an introduction to modern technical analysis and its objectives. Chapter 2 gets you up to speed with your Python skills in order to understand what’s to come later. Topics, such as basic syntax, functions, control flow, and data import, are covered extensively in a straightforward manner. Chapter 3 explores modern approaches to technical analysis, presenting innovative ways to utilize classic indicators like the relative strength index (RSI) and Bollinger bands beyond traditional methods. It also introduces entirely new indicators derived from the combination of existing ones, with the goal of enhancing market analysis and providing fresh insights into price behavior. Chapter 4 introduces innovative charting mechanisms, including Heikin-Ashi, K’s candlesticks, and volume candlesticks. The primary objective is to broaden your perspective on time series analysis, offering alternative visual interpretations of price action that may reveal underlying market dynamics often overlooked by conventional methods. Chapter 5 enters the world of Fibonacci techniques for trading, emphasizing Python’s role in uncovering lesser-known Fibonacci assumptions. You will get to code Fibonacci techniques such as the 23.6% reintegration. Chapter 6 delves into the realm of volatility indicators, offering tools to better interpret the fluctuations in price action. A variety of indicators are introduced, each accompanied by clear explanations of the underlying intuition, equipping you with a deeper understanding of market dynamics and volatility behavior. Building on the foundation of classic candlestick patterns, Chapter 7 introduces modern variations that enhance the ability to interpret price action. These patterns serve as powerful tools for understanding market behavior in modern trading environments. Chapter 8 delves into the fascinating world of harmonic patterns, explaining their structure and relevance in market analysis. It includes step-by-step guidance on coding these patterns in Python, enabling you to evaluate their efficacy. Chapter 9 focuses on timing patterns, an innovative approach that integrates price and time to generate top and bottom market signals. You will gain insights into the interplay between temporal and price-based market dynamics. Chapter 10 revisits timeless price patterns, such as double tops and double bottoms, through the lens of Python programming. You will learn how to code these patterns and evaluate their profitability. Serving as the core of this book, Chapter 11 unveils my personal collection of indicators. Each indicator is presented in detail, including its intuition, coding, and application. This chapter is packed with insights and advanced techniques. Chapter 12 offers a comprehensive guide to evaluating trading strategies through essential concepts in performance evaluation, back-testing, and risk management. You will gain hands-on experience coding performance metrics, empowering you to assess and refine your trading approaches with confidence. By the end of this book, you will have a comprehensive understanding of how to take advantage of Python to enhance your technical analysis capabilities. This book will serve as a valuable resource on your journey to mastering new horizons of technical analysis.