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Technical Analysis With Python: An Introduction to Algortimic Trading and Scalping
Technical analysis is the study of past and present price movements in financial markets, with the aim of forecasting future trends and identifying profitable trading opportunities. Technical analysts use various tools and techniques, such as charts, indicators, patterns, and trading systems, to analyze market data and make informed decisions.
Python is a popular programming language that offers many advantages for technical analysis, such as simplicity, readability, versatility, and a rich set of libraries and modules. Python can be used to access, manipulate, visualize, and backtest market data, as well as to implement and automate trading strategies.
This book is intended for anyone who wants to learn how to use Python for technical analysis. Whether you are a beginner or an experienced trader, you will find this book useful and practical. The book covers the following
- How to obtain and work with historical and real-time market data using Python libraries such as pandas, yahoo finance, and others.
- How to plot and customize charts using matplotlib and seaborn.
- How to calculate and apply various technical indicators and oscillators with Python libraries like ta, Ta-Lib, fin-ta and others
- How to create and evaluate trading systems using backtesting frameworks based on high and low frequency data.
- How to build Python algorithmic trading models compatible with scalping tools like Metatrader 5 and Tradingview.
By the end of this book, you will have a solid foundation in Python programming and technical analysis. You will be able to apply your knowledge and skills to analyze any financial market and develop your own trading strategies.
Python is a popular programming language that offers many advantages for technical analysis, such as simplicity, readability, versatility, and a rich set of libraries and modules. Python can be used to access, manipulate, visualize, and backtest market data, as well as to implement and automate trading strategies.
This book is intended for anyone who wants to learn how to use Python for technical analysis. Whether you are a beginner or an experienced trader, you will find this book useful and practical. The book covers the following
- How to obtain and work with historical and real-time market data using Python libraries such as pandas, yahoo finance, and others.
- How to plot and customize charts using matplotlib and seaborn.
- How to calculate and apply various technical indicators and oscillators with Python libraries like ta, Ta-Lib, fin-ta and others
- How to create and evaluate trading systems using backtesting frameworks based on high and low frequency data.
- How to build Python algorithmic trading models compatible with scalping tools like Metatrader 5 and Tradingview.
By the end of this book, you will have a solid foundation in Python programming and technical analysis. You will be able to apply your knowledge and skills to analyze any financial market and develop your own trading strategies.
253 pages, Kindle Edition
Published December 10, 2023
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