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Deep Learning for Finance
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 strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the w...
Mastering Financial Pattern Recognition
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...
The Book of Trading Strategies
Trading strategies come in different shapes and colors, and having a detailed view on their structure and functioning is very useful towards the path of creating a robust and profitable trading system. The book presents various technical strategies and the way to back-test them in Python. You can think of the book as a mix between introductory Python and an Encyclopedia of trading strategies with a touch of reality.
Deep Learning for Finance
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 strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the w...
The Book of Back-tests
This book is aimed at presenting many different trading strategies and back-testing them. There is a variety of different strategies stemming from various fields such as technical analysis, fundamental analysis, and machine learning. Each strategy will have its main idea, the code required to build the strategy, and the back-testing results. Anyone from any level can benefit from this book as it deals with strategies in simple terms. What will the reader gain?You will learn how to code a wide array of strategies from different fields, understand how to back-test them, and how to properly evaluate their performance. This should help the reader find and optimize other strategies through the on...
Trend Following Strategies in Python
What is this book all about? This book is a modest attempt at presenting a more modern version of technical analysis based on objective measures rather than subjective ones. A sizeable chunk of this beautiful type of analysis revolves around trend-following technical indicators which is what this book covers. I believe it is time to be creative with indicators. The following chapters present trend-following indicators and how to code/use them. The code included in the book is available in the GitHub repository. A QR code link will be provided in the book. What am I going to gain? You will gain exposure to many new indicators and strategies that will change the way you think about trading, an...
New Technical Indicators in Python
What is this book all about?This book is a modest attempt at presenting a more modern version of Technical Analysis based on objective measures rather than subjective ones. A sizeable chunk of this beautiful type of analysis revolves around technical indicators which is exactly the purpose of this book. I believe it is time to be creative and invent our own indicators that fit our profiles. Having had more success with custom indicators than conventional ones, I have decided to share my findings. The following chapters present new indicators that are the fruit of my research as well as indicators created by brilliant people. I also include the functions to create the indicators in Python and...
Learn Tunisian at a Glance !
Thinking about going to Tunisia for holidays or for work? you want to settle in Tunisia? This book will serve you perfectly! A whole bunch of Tunisian words and their origins, the essential rules of grammar, the conjugation of verbs with examples, Tunisian famous sayings and traditions, all in one small brief and concise handbook.
The Handbook of Exotic Trading Strategies
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 will change the way you think about trading and you will find yourself busy experimenting and choosing the strategy that suits you the best. How is it organized?The order of chapters is not important, although reading the introductory chapters of each part is help...
Mastering Financial Pattern Recognition
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...
