The Black Book of Financial Hacking: Passive Income with Algorithmic Trading Strategies

Passive Income with Algorithmic Trading Strategies

Cover Art for 9781546515210, The Black Book of Financial Hacking: Passive Income with Algorithmic Trading Strategies by Johann Christian Lotter
ISBN: 9781546515210
Publisher: CreateSpace Independent Publishing Platform
Published: 5 May, 2017
Format: Paperback
Language: English
1 other edition of this product
Saving: Saving: $46.13 or 32%

A trader's dream: Sitting with a cool beer on the beach while his computer breeds money with automated trading. Can this actually work? It depends. This textbook covers the "algorithmic" part of algorithmic trading - not with "technical indicators", but with modern methods based on solid math and statistics. The author has developed so far about 600 trading systems for institutes and private traders, and writes about his experiences on the blog "The Financial Hacker". In his book you'll learn the tricks and traps, which methods work and which don't, and how to develop a trading system from the first idea until going live. Many example systems are presented with new trading methods, such as spectral analysis and statistical filters. You're introduced in proper testing with solid Walk Forward, Montecarlo, and Reality Check methods. All examples come with code ready to run. No matter if you are a beginner or a seasoned algo developer, this book will provide new insights into algorithmic trading. "Johann Christian Lotter has succeeded in writing an interesting and, above all, honest book: Instead of picture-book examples, it presents working code, instead of pink rhetoric, hard truth. All prospective traders interested in algorithmic trading should take a look at this book." TRADERS' August 2016


Booko is reader-supported. When you buy through links on our site, we may earn an affiliate commission. Learn more

Historical Prices

This graph is for informational purposes only. Occasionally pricing data is captured incorrectly, through bugs in Booko or the stores supplying data, which may distort the graph, providing undue hope that even lower prices sometimes appear.

Recently Updated