What is this book all about?You can think of the book as a small encyclopedia of well-sorted trading strategies and ideas that are not very well-known or addressed to the public. The strategies are presented in an easy and clear way so as to make the reader curious about testing them.What am I going to gain?You will gain exposure to many new techniques, strategies, pitfalls, concepts, and conclusions of many types of analyses which ...

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.Inside, yo...

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...

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.Sofien Kaabar—financial author, trading consultant, and institutional market st...

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.Sofien Kaabar—financial author, trading consultant, and institutional market st...