The handbook of exotic trading strategies Ebook Tooltip Ebooks kunnen worden gelezen op uw computer en op daarvoor geschikte e-readers. Uncommon techniques to diversify your prediction methods

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 helpful. The book is divided into three parts; technical analysis, sentiment analysis, and machine learning. The reader, depending on her preferences may decide to begin reading at any point in the book.

What is the bias of this book?

This book is neutral. It does not favor any type of analysis over the others and believes in the usefulness of them all. Not only that, but we encourage using a mix of strategies to create a strong and healthy trading system.

What level of knowledge do I need to follow this book?

Although a basic or a good understanding of trading and the economy is considered very helpful, it is not absolutely necessary, as every part will begin by an introduction to what we will be discussing and to the basics of the field. Also, the last chapter includes an introduction to fundamental measures that will help refresh any knowledge about the economy.

How is this book written?

The language used is very friendly and will not feature any complex mathematical formulas. Intuition and understanding are the main focus and many chapters are not very quantitative, therefore, no troubles should be encountered while reading through the chapters. Some statistical formulas may be presented but in a straight-forward way.

What about the trading results presented in some chapters?

All back-testing results have been conducted on out-of-sample data exclusively. They are presented as gross returns unless instructed otherwise. The reader is encouraged to experiment with them, as the field of data and analysis is immense and countless ways of strategizing exist.

What will I need to be able to replicate and use these strategies?

For the technical strategies, you will only need a trading software that has the basic packages. For the sentiment strategies, you will most likely be using a spreadsheet. As for the machine learning topics, you might need to install a Python interpreter in order to enjoy the full experience.