Matt Radtke – Programming Adaptive Strategies in AmiBroker

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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.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: At the completion of this course, you will be able to:

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

Prerequisites: Prerequisites:

• AmiBroker version 6.0 or later installed. Version 6.20 or later is preferred.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.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.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 metricsUnderstand how the CBT works, including the AmiBroker object model and creating custom metrics

Topic Summary

Session 1 Session 1

1. Defining Market RegimesDefining Market Regimes
2. Market Regime FunctionsMarket Regime Functions
3. Regime AssignmentRegime Assignment
4. MetricsMetrics

Session 2 Session 2

Get Get Matt Radtke – Programming Adaptive Strategies in AmiBroker download

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

Session 3 Session 3

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

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