资料格式比较特殊,是矢量版的EPUB格式,可以用精读天下,百度阅读器等工具打开,特此说明。
内容非常新,2025
内容非常丰富,一共500多页。
Chapter1Classic Technical Analysis Versus Modern Technical Analysis
Chapter2Exploring Time Series Analysis with Python
Chapter3Modern Technical Analysis Techniques and Indicators
Chapter4Alternative Charting Systems
Chapter5Advanced Fibonacci Analysis in Python
Chapter6Advanced Volatility Indicators
Chapter7Pattern Recognition in Python I—Candlestick Patterns
Chapter8Pattern Recognition in Python II—Harmonic Patterns
Chapter9Pattern Recognition in Python III—Timing Patterns
Chapter10Pattern Recognition in Python IV—Price Patterns
Chapter11A New Breed of Technical Indicators
Chapter12Performance Evaluation in Python
Master Technical Analysis in the Age of Python and Innovation.
Financial markets are evolving, and so should your strategies. Mastering Financial Markets with Python: New Horizons in Technical Analysisbridges the gap between traditional methods and the new era of data-driven analysis. This resource equips you with the skills to design, implement, and evaluate advanced technical analysis techniques all through a practical, code-first approach.
Inside, you will learn how to do the following:
Rethink and modernize classic indicators with Python.
Build advanced volatility and moving average indicators.
Detect and analyze harmonic and reversal patterns automatically.
Detect and analyze timing patterns automatically.
Apply enhanced Fibonacci techniques and alternative charting systems.
Develop a new generation of technical indicators tailored to modern markets.
This resource provides hands-on tools to master today’s fast-paced financial landscape. By combining innovation with Python, you’ll gain a deeper understanding of markets and build smarter, more adaptive strategies.