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 back-test 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 book, 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 back-testing 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
Publisher resources
Table of contents
- Preface
- 1. Importing and Processing Financial Data in Python
- 2. Algorithmic Mindset and Functions
- 3. Introducing Technical Analysis
- 4. Classic Trend-Following Patterns
- 5. Modern Trend-Following Patterns
- 6. Classic Contrarian Patterns
- 7. Modern Contrarian Patterns
- 8. Advanced Candlestick-Charting Systems
- 9. Candlestick Patterns Exit Techniques
- 10. Candlestick-Based Trend-Following Strategies
- 11. Candlestick-Based Contrarian Strategies
- 12. Risk Management and Trading Psychology
- Index
- About the Author
Product information
- Title: Mastering Financial Pattern Recognition
- Author(s):
- Release date: October 2022
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781098120474
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