Description

Unlock your potential with Matt Radtke – Programming Adaptive Strategies in AmiBroker, a premium course from renowned authors and industry leaders. Gain expert insights, actionable strategies, and practical tools to advance your skills and achieve success.
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This course will focus on developing adaptive trading strategies using AmiBroker, leveraging the Custom Backtest (CBT) interface which was introduced in the CBT Intensive.

Purchase Matt Radtke – Programming Adaptive Strategies in AmiBroker courses at here with PRICE ~~$249~~ $51

Matt Radtke – Programming Adaptive Strategies in AmiBroker

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

Defining Market Regimes
Market Regime Functions
Regime Assignment
Metrics

Session 2

Get Matt Radtke – Programming Adaptive Strategies in AmiBroker download

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

Readmore: http://archive.li/tPrpl

Purchase Matt Radtke – Programming Adaptive Strategies in AmiBroker courses at here with PRICE ~~$249~~ ~~$51~~

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