Cover....2
Halftitle Page....3
Title Page....4
Copyright Page....5
Description....6
Contents....7
List of Figures....8
Introduction....12
Chapter 1 Classic Technical Analysis Versus Modern Technical Analysis....14
Chapter 2 Exploring Time Series Analysis with Python....28
Chapter 3 Modern Technical Analysis Techniques and Indicators....47
Chapter 4 Alternative Charting Systems....90
Chapter 5 Advanced Fibonacci Analysis in Python....99
Chapter 6 Advanced Volatility Indicators....111
Chapter 7 Pattern Recognition in Python ICandlestick Patterns....122
Chapter 8 Pattern Recognition in Python IIHarmonic Patterns....137
Chapter 9 Pattern Recognition in Python IIITiming Patterns....152
Chapter 10 Pattern Recognition in Python IVPrice Patterns....160
Chapter 11 A New Breed of Technical Indicators....170
Chapter 12 Performance Evaluation in Python....185
Conclusion....198
Bibliography....199
About the Author....200
Index....201
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 Analysis bridges the gap between traditional methods and the new era of data-driven analysis. This book equips you with the skills to design, implement, and evaluate advanced technical analysis techniques all through a practical, code-first approach.
This book provides hands-on tools to master today’s fast-moving financial landscape. By combining innovation with Python, you’ll gain a deeper understanding of markets and build smarter, more adaptive strategies.
Because trading edges are fleeting, and those who master Python-driven technical analysis will be the ones shaping the markets of tomorrow.