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Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments

posted by Anastasia

Review Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments 

by DAVID ARONSON, TIMOTHY MASTERS

Description

Emphasizing the importance of using statistical methods to assess and devise a system of trading before being applied and utilized during live trading is one of the two chief lessons of the book. The other one is to show how the Trading System Synthesis & Boosting (TSSB), a free program, can be of great help and utilization to create and evaluate existing trading systems.

Rich in technical specifications of algorithmic trading of financial instruments, this book will come in handy for traders and experts exploring the technical aspect of trading. 

About the Authors

David Aronson is a certified Chartered Market Technician by the Market Technicians Association since 1992. He is a pioneer in machine learning and nonlinear trading system development and signal boosting. He also served as a professor to MBA students.

Timothy Masters is a Ph.D. degree holder in mathematical statistics with a specialization in numerical computing. He has been serving as a consultant for the government and the industry. He has published five books and posts his works on his website, TimothyMasters.info.

Table of Contents

The book covers a lot of technical topics. Here are the major concepts presented in the book:

Introduction

A Simple Standalone Trading System

Common Initial Commands

Reading and Writing Databases

Creating Variables

Volatility Indicators

Indicators Involving Indices

Basis Price Distribution Statistics

Indicators That Significantly Involve Volume

Entropy and Mutual Information Indicators

Indicators Based on Wavelets

Follow-Through Index (FTI) Indicators

Target Variables

Screening Variables

Models 1: Fundamentals

Models 2: The Models

Committees

Oracles

Testing Methods

Permutation Training

Transforms

Complex Prediction Systems

Graphics

Finding Independent Predictors

Market Regression Classes

Developing a Stand-Alone System

Trade Simulation and Portfolios

Integrated Portfolios

Posted by Anastasia

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