Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python

Book Description

Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and backtest the profitability of candlestick patterns.

Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these patterns. With this hands-on guide, you’ll also explore a new type of charting system similar to candlesticks, as well as new patterns that have never been presented before.

With this book, you will:

• Create and understand the conditions required for classic and modern candlestick patterns
• Learn the market psychology behind them
• Use a framework to learn how backtesting trading strategies are conducted
• Explore different charting systems and understand their limitations
• Import OHLC historical FX data in Python in different time frames
• Use algorithms to scan for and reproduce patterns
• Learn a pattern’s potential by evaluating its profitability and predictability

中文：

书名：掌握金融模式识别: 用Python查找和回测烛台模式

烛台已成为金融交易平台和图表程序的关键组成部分。通过这些图表，交易者可以了解解释价格行为历史和预测的基本模式。这个A-Z指南展示了投资组合经理、quants、策略师和分析师如何使用Python来识别、扫描、交易和回测烛台模式的盈利能力。

财务作者，交易顾问和机构市场策略师Sofien Kaabar向您展示了如何创建烛台扫描仪和指示器，以便您可以比较这些模式的盈利能力。有了这个动手指南，您还将探索一种类似于烛台的新型图表系统，以及以前从未出现过的新模式。

有了这本书，你会:

• 创建和理解经典和现代烛台模式所需的条件
• 学习背后的市场心理
• 使用框架来了解如何进行回测交易策略
• 探索不同的图表系统并了解其局限性
• 在不同时间范围内导入OHLC历史FX数据
• 使用算法扫描和再现模式
• 通过评估模式的盈利能力和可预测性来了解模式的潜力