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Course Introduction
How many traders have you seen who make consistent income from stock markets every month? Well, most of you wouldn’t have seen any. But still, trading in financial markets is one of the most lucrative business over the years. The reason is simple, once you learn how to do it no one can stop you from becoming the next stock market millionaire. But unfortunately, people spend a lot of time and money and reach nowhere. And finally, they QUIT!
Let’s accept the fact that in order to get an edge in this extremely competitive environment, you need to do something different. Having a firm grasp of technical analysis or chart reading is not enough, this age of super computers has introduced algorithms, machine learning and artificial intelligence in the financial markets. With the help of technology, even amateurs can make an absolute killing on the stock market.
In this course, you will learn how to build a professional algorithmic trading system using Amibroker. The course is designed in a Do it Yourself (DIY) fashion where you can follow step by step instructions and create your own profitable system.
For those who don’t know about algorithmic trading, the idea behind it is quite simple. An advanced computer program (known as an algorithm) monitors stock prices and signals trading opportunities based on the rules defined. Previously, buying and selling stocks required you to either constantly monitor stock prices and keep an eye out for new stocks, or hire someone to do it for you. Algorithmic trading allows you to take all the hassle out of buying and selling stocks, you can just sit back and let the computer program do 90% of the work for you. It’s that simple.
Amibroker software is a market leader when it comes to designing and creating trading systems. Its robust set of features and extremely powerful backtesting engine can help you do wonders. Although this course is designed specifically for Amibroker users, yet you can apply the same concepts in any other software too.
What are you going to learn from this course?
- Fundamentals of algorithmic trading system
- Methodology of trading system design
- Installing and importing data into Amibroker
- Steps to create a trading system in Amibroker
- Backtesting your trading system in Amibroker and analyze backtest results
- Optimizing trading system
- Risk management and position sizing
- Monte Carlo simulation and Walk forward optimization
- Creating Explorations in Amibroker
- Automating the entire stuff
- Readymade trading system AFL codes with a video walkthrough
And many more interesting things. Check out the course curriculum for details.
Intended Audience
This course is suitable for (but not limited to) to people belonging to one of the following group:
- Stock market Traders
- Stock market Learners
- Finance Students
- Technical Analysts
- Algorithmic/Quant Traders
- High-frequency traders
- Forex traders
- Commodity traders
- Trading system programmers
Course Structure
This course is designed by a panel of experts who carry decades of experience in programming as well as financial markets. Don’t worry even if you are an absolute beginner, you would understand every bit of it. Upon completion of this course, you should be able to create your own profitable trading system and take it live.
The course is a mix of video as well as text lessons. All the concepts are explained with screenshots which makes it easy to follow. There is a quiz at the end of each section to evaluate your learnings.
AFL codes are available for download wherever needed. You will receive a certificate of completion once you finish this course.
Course Curriculum
Trading System Basics
- Introduction
- Types of Trading System
- Quiz
- Comments and Discusssiont
Amibroker Installation and Data import
- Steps to Install Amibroker in your Machine (1:52)
- Importing Data into Amibroker- through AmiQuote (3:27)
- Importing Data into Amibroker: Manual Process (3:41)
- Comments and Discussion
Steps to code your system in Amibroker Formula Language (AFL)
- Video Walkthrough (7:08)
- Step 1: Formulate your Trading Strategy
- Step 2: Define Variables and Indicators
- Step 3: Initialize Buy/Sell arrays
- Step 4: Define Trading System Parameters
- Step 5: Define StopLoss and Target
- Step 6: Plot chart, indicator and buy/sell arrows
- Complete AFL code for this Trading System
- Quiz
- Comments and Discussion
Backtesting your system in Amibroker
- Video Walkthrough (6:26)
- Introduction to Backtesting
- Step by Step Instructions to backtest your strategy in Amibroker
- Interpreting Amibroker Backtest Results
- Quiz
- Comments and Discussion
Trading System Optimization in Amibroker
- Video Walkthrough (5:51)
- Optimization Overview
- The magical ‘Optimize’ function
- Step by Step instructions to Optimize your Trading System in Amibroker
- How to prevent Over Optimization?
- Complete AFL Code for Optimization
- Quiz
- Comments and Discussion
Monte Carlo Simulation
- Video Walkthrough (4:21)
- Monte Carlo Simulation Basics
- How Monte Carlo Simulation is performed?
- Monte Carlo Simulation in Amibroker
- Control Monte Carlo settings from AFL Code
- Quiz
- Comments and Discussion
Walk Forward Optimization of your Trading Systems
- Video Walkthrough (5:38)
- Inroduction to Walk Forward Optimization
- Steps to perform Walk Forward Optimization in Amibroker
- Quiz
- Comments and DIscussion
Amibroker Exploration
- How to perform Exploration in Amibroker?
- Quiz
- Comments and Discussion
Advanced Concepts
- Automate Backtesting in Amibroker (3:47)
- Position Ranking in Amibroker
- Adding custom metrics to Backtest Results
- Custom Backtesting Examples
- Continuous Backtesting using Equity Function
- Comments and Discussion
Readymade Amibroker Trading Systems (with Video Explanation)
- Trend Following Swing Trading System (6:04)
- Mean Reversion Trading System (5:26)
- Intraday Trading System using MACD and Bollinger Bands (5:26)
- Price Action Trading System (4:34)
- Amibroker Exploration to Screen Profitable Stocks (5:36)
- Comments and Discussion
INSTITUTIONAL RISK DISCLOSURE: Trading foreign exchange, cryptocurrencies, and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance of any trading system or quantitative blueprint does not guarantee future results.
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