Lazy Trading Part 1 Set up your Home Trading Environment

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Lazy Trading Part 1: Set up your Home Trading Environment
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 22 | 386 MB
Genre: eLearning | Language: English

Learn Computer and Data Science through Algorithmic Trading, set up your Trading Environment

About this Course: Set up your Trading Environment

This course will cover setting up your personal Home Trading Environment. At the end of this course you will have a Trading Environment installed and active on your Home Computer. This trading environment will be a basis of a modular system which will be completed during the whole series of courses. We will cover the following topics:

Choosing a hardware Windows PC or VPS

Install and prepare needed software including Meta Trader 4 Platform

Establish Version Control for Trading Strategies and tools

Outline the Bigger Strategy that aims to automate decisions of the Trader

Set up Development, Test and Production Trading Terminals

Establish Decision Support System using R statistical software

Making Trading Environment more robust to external factors

"What is that ONE thing very special about this course?"

- Setting up the computer to be ready 24/7!

About the Lazy Trading Courses:
This series of courses is designed to to combine fascinating experience of Algorithmic Trading and at the same time to learn Computer and Data Science! Particular focus is made on building Decision Support System that can help to automate a lot of boring processes related to Trading and also learn Data Science. Several algorithms will be built by performing basic data cycle 'data input-data manipulation - analysis -output'

This project is containing several short courses focused to help you managing your Automated Trading Systems:

Set up your Home Trading Environment

Set up your Trading Strategy Robot

Set up your automated Trading Journal

Statistical Automated Trading Control

Reading News and Sentiment Analysis

Using Artificial Intelligence to detect market status

Building an AI trading system
         

               

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