 Название: Quant Developers' Tools and Techniques in Python: Volume 1: Statistics, Visualization, Pandas DataFrame, Simple- & Multiple Linear Regression
Автор: Manfred Hindering
Издательство: Quant Books
Серия: Quant Developers' Tools and Techniques
Год: 2024
Страниц: 860
Язык: английский
Формат: epub
Размер: 16.3 MB
As a quant developer in the past, it was quite challenging to acquire suitable datasets for any meaningful quantitative analysis. As technological innovations such as decentralized trading platforms occur, more programming savvy traders enter the scene and actively attempting to conquer and master this innovative field. This is in particular true for the crypto markets, where the trading platforms are built with the programmer in mind, therefore it has never been easier to retrieve market data and process it in an automated fashion.
As a programmer, times have never been better to make a living by trading and coding - either individually or for trading firms around the world. Technological advances in computing equipment, programming and analytical tools allows the keen programmer to “make a killing” while doing something you enjoy doing.
The crypto market, for example, represents an asset class - much like the forex market. However, it is still young and presents its fair share of inefficiencies and idiosyncrasies, which translate into opportunities for the astute quant developer to exploit.
This volume introduces the tools and techniques for the programming-oriented developer to take advantages of such opportunities in an automated fashion. The bad news is, in order to succeed in this ever evolving and challenging field, you will have to know a lot of mathematics, statistics, coding, financial & market theory, and so on.
This series is intended for finance professionals, such as controllers, equity analysts, quantitative developers, data scientists, and everybody interested in trading and winning in the financial markets. If you plan to become a quant developer, this volume is the prelude to a comprehensive series, presenting and demonstrating the tools and techniques required to succeed in this new data driven world, such as:
Volume 1: Statistics, Visualization, Pandas DataFrame, Simple- & Multiple Linear Regression
…build up the basis for a solid understanding of the covered parts of the QUANT body of knowledge, in a learning-by-example fashion.
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Quant Developers' Tools and Techniques in Python: Volume 1 
