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Free download — Mechanical Trading Systems Using Technical Analysis
Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 6.29 GB | Duration: 6h 33m
What you’ll learn
How to build Mechanical Trading Systems
How to backtest Mechanical Trading Systems
How to optimize strats
Gain confidence in your automated system
Build a robust Portfolio
Description
This course is designed around core principles for building a robust mechanical trading system.
We use Pine Script and TradingView along with a variety of tools I use for building my own robust mechanical trading systems.
By the end of this course you will:
Know how to create a diverse portfolio of uncorrelated assets for trend following and mean reverting strats.
Have a suite of advanced tools designed for building robust strats and the knowledge required to use them.
Have a strong understanding of the most common mechanical trading systems and the various popular strats used.
Have more confidence in the results of your system.
Save money on live trading bad strats that looked like good strats when you back tested them.
Have a reusable system you can use and trust to backtest and automate trading strats.
How am I qualified
I have been programming in Pine Script since 2015. It has been a full job for me, between freelancing, consulting, educating and writing my own scripts. I have seen thousands of strats and spent countless hours building and testing my own. I have a background in data science, eeering and finance and I understand how difficult building and testing a profitable strategy can be.
Tools Included
Portfolio Backtester Ee
Backtester Ee Visualizer
Portfolio Correlation Heatmap
Descriptive Statistics Analyzer
Probability Distribution Analyzer
Who this course is for:
Anyone who wants a system for building robust automated trading systems.
Traders looking to automate their trading strats.
Researchers who are looking for a quicker and better way to backtest strats.
Pine Script Programmers who are tired of writing complex strategy code.
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