Mechanical Trading Systems Using Technical Analysis

Use advanced Pine Script tools and learn how to properly design and optimise robust trading systems

Ratings: 4.53 / 5.00




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 strategies.

  • Have a suite of advanced tools designed for building robust strategies and the knowledge required to use them.

  • Have a strong understanding of the most common mechanical trading systems and the various popular strategies used.

  • Have more confidence in the results of your system.

  • Save money on live trading bad strategies that looked like good strategies when you back tested them.

  • Have a reusable system you can use and trust to backtest and automate trading strategies.


How am I qualified?

I have been programming in Pine Script since 2015. It has been a full time job for me, between freelancing, consulting, educating and writing my own scripts. I have seen thousands of strategies and spent countless hours building and testing my own. I have a background in data science, engineering and finance and I understand how difficult building and testing a profitable strategy can be.


Tools Included

  • Portfolio Backtester Engine

  • Backtester Engine Visualizer

  • Portfolio Correlation Heatmap

  • Descriptive Statistics Analyzer

  • Probability Distribution Analyzer



What You Will Learn!

  • How to build Mechanical Trading Systems
  • How to backtest Mechanical Trading Systems
  • How to optimize strategies
  • Gain confidence in your automated system
  • Build a robust Portfolio

Who Should Attend!

  • Anyone who wants a system for building robust automated trading systems.
  • Traders looking to automate their trading strategies.
  • Researchers who are looking for a quicker and better way to backtest strategies.
  • Pine Script Programmers who are tired of writing complex strategy code.