Combo 4 New Courses From AmiBroker – Matt Radtke

Combo 4 New Courses From AmiBroker – Matt Radtke

This course will explore various methods for creating Rotational Systems in AmiBroker.

It includes approximately two hours of online instruction as well as AFL code templates that you can easily modify for your own needs and Excel files containing AmiBroker test results for the sample strategy presented in the course.

Course Outline

1. Office Hours Session (Course Attendee Q&A)

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:

• Determine when to use each of the three levels of the Custom Back Tester
• 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

1. AmiBroker Architecture
2. Data Constructs
3. User Functions
4. Object Model

Session 2

1. Introduction to the CBT
2. High-level CBT
3. Mid-Level CBT

Session 3

1. Low-level CBT
2. Common Mistakes
   

   ---

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:

• AmiBroker version 6.0 or later installed. Version 6.20 or later is preferred.
• 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

1. Defining Market Regimes
2. Market Regime Functions
3. Regime Assignment
4. Metrics

Session 2

1. Out-of-Sample Testing
2. In-Sample Optimization
3. Evaluation in Excel
4. AFL Updates

Session 3

1. Out-of-Sample (OOS) Optimization
2. Out-of-Sample (OOS) Adaptive Results
3. Compare OOS Adaptive to OOS Static
4. Compare OOS Adaptive to OOS Optimization
5. Adaptive Parameter Refresh
   

   ---

Learn How to Automate Your Portfolio-level Trading  & Investing Strategies with AmiBroker, Interactive Brokers and Alera Portfolio Manager.

(Note: Alera Portfolio Manager only currently supports Interactive Brokers and US stock trading at the present time.  More brokers and instruments are planned in the future.)

** 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.

APM allows users to remove the complexities of broker integration for semi and fully automated, multi-strategy and especially portfolio-level trading and investing.

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.

In this course we will explore how relatively easy it is to generate and process multiple independent trading strategies or investing strategy signals while using only one brokerage account, allowing us to manage and diversify portfolios and to reduce the effort and time spent daily.

All of this can be accomplished while considerably minimizing or eliminating potential order entry errors on the order entry and exit workflow process side.

(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).

Sale Page: amibroker

PLEASE REFER TO OUR PROOF :