AmiBroker – Combo 4 New Courses From AmiBroker

AmiBroker – Combo 4 New Courses From AmiBroker
Matt Radtke – Programming Adaptive Strategies in AmiBroker
Sale Page : amibroker-courses
This product is available now
This course will focus on developing adaptive trading strategies using AmiBroker, leveraging the Custom Backtest (CBT) interface which was introduced in the CBT Intensive.
At the completion of this course, you will be able to:

Define your own Market Regimes
Consider how trade setup, entry, and exit are assigned to a regime
Summarize metrics by regime
Modify your AFL to use adaptive (regime-specific) parameters
Compare the adaptive strategy performance to a baseline

Prerequisites:

Installed a data source and configured it to work with AmiBroker.
Have basic familiarity with AFL, including the ability to create and execute back tests and optimizations with AmiBroker’s standard back test engine.
Understand how the CBT works, including the AmiBroker object model and creating custom metrics

Topic Summary
Session 1

Defining Market Regimes
Market Regime Functions
Regime Assignment
Metrics

Session 2

Out-of-Sample Testing
In-Sample Optimization
Evaluation in Excel
AFL Updates

Session 3

Out-of-Sample (OOS) Optimization
Out-of-Sample (OOS) Adaptive Results
Compare OOS Adaptive to OOS Static
Compare OOS Adaptive to OOS Optimization
Adaptive Parameter Refresh

 
Matt Radtke – Building Rotational Systems in AmiBroker Matt Radtke
Sale Page : amibroker
This product is available
This course will explore various methods for creating Rotational Systems in AmiBroker.
Course Outline

Module 1: Introduction to Rotational Strategies

What are rotational strategies?
Sample Strategy Rules
A Simple “Rotation Like” approach

Module 2: AmiBroker Support for Rotational Strategies

AmiBroker’s Rotational Mode
Converting the Sample Strategy to use backtestRotational mode
Comparison of Results
Advantages and Disadvantages

Module 3: Recreating Rotational Mode with a CBT

Controlling the rotation process
Converting from Mid to Low Level CBT
Comparison of Results

Module 4: More CBT Functionality

Rebalancing
Separate Worst Rank Held for Long and Short
Comparison of Results
Summary

Module 5: Office Hours (Q&A)

Office Hours Session (Course Attendee Q&A)

Matt Radtke – AmiBroker Custom Backtester Intensive
Sale Page : amibroker
This product is available
The CBT Intensive course is designed for traders who want to use AmiBroker to create complex back tests and optimizations using the Custom Backtest (CBT) interface.
At the completion of this 4+ hour course, you will be able to:

Add custom trade metrics via the Custom Back Tester
Add custom portfolio metrics via the Custom Back Tester
Exercise complete control over the processing of entry and exit signals
Enter, modify, and exit trades at will
Perform auxiliary functions like hedging

Topic Summary
Session 1

AmiBroker Architecture
Data Constructs
User Functions
Object Model

Session 2

Introduction to the CBT
High-level CBT
Mid-Level CBT

Session 3

Low-level CBT
Common Mistakes

Amibroker – Trading & Investing Automation for AmiBroker
Sale Page : amibroker-courses
This product is available
Learn How to Automate Your Portfolio-level Trading  & Investing Strategies with AmiBroker, Interactive Brokers and Alera Portfolio Manager.
** Course Bonus — 3 Complete AFL Strategy Code Scripts will be Included with Course after order confirmation.

In this course, we will teach AmiBroker users how to generate — and semi or fully automate — buy and sell signals for multi-strategy, multi-system and portfolio-level trading and investing.
The approach covered in this course is really designed for simpler trade automation and active trading or investing system diversification for anyone.
By removing the broker complexities, users are free to concentrate their efforts on developing strategies (or using already developed strategies) without having to worry about much else.
(Two trading strategy implementation examples along with code are provided for instructional purposes only, within the course – RSI-2 Reversion Strategy using limit orders, and, a Simple MACD Strategy using MOC/MOO orders).