Algorithmic Trading with MATLAB



Video Course That Will Make You

The Guru of Advanced Algorithmic Trading 


What You Will Learn From the Course

Section 5: Analysis & Execution

Lecture 5.5. Trading Execution

Lecture 1.1. Introduction

Lecture 5.2. Load Results to Excel

Lecture 1.2. WFAToolbox Overview

Lecture 1.3. WFAToolbox Installation

Lecture 3.3. Indicators & Data Calling

Section 2: Trading Data Loading

Lecture 5.3. Detailed Analysis on Main Page

Lecture 2.1. Google Finance Data Loading

Section 3: Creating Trading Strategy

Section 1: Introduction & software installation

Lecture 2.2. Loading Custom Trading Data

Lecture 3.5. Set Expenses

Lecture 3.1. Interactions with Strategies

Lecture 5.1. Primary Analysis

Lecture 3.2. Setting Parameters

Lecture 3.4. Trading Rules Description

Section 4: Settings & Optimization

Lecture 5.4. Detailed Analysis on Other Pages

Lecture 4.1. Pre-optimization Settings

Lecture 4.2. Walk-Forward Principles

Lecture 4.3. Optimization Methods

We are the team of developers of the WFAToolbox, and if we sum up our work experience in hedge funds, algorithmic strategies and software development companies, own developments and researches on this issue, then one life of the average American person is not going to be enough to contain it. After plurality of trials and errors, we have found that MATLAB is the best instrument for creation of algorithmic trading strategies of any complexity for today. Therefore we created special WFAToolbox application, which gives to those, who want to create their own successful trading strategy (or create highly profitable portfolio of strategies), possibility of doing that in the shortest time and in the most convenient form, receiving stable results and possibility of detailed analysis and research.


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