Matt Radtke – Programming Adaptive Strategies in AmiBroker

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Matt Radtke – Programming Adaptive Strategies in AmiBroker

nnThis course will focus on developing adaptive trading strategies using AmiBroker, leveraging the Custom Backtest (CBT) interface which was introduced in the CBT Intensive.nnAt the completion of this course, you will be able to:n

• 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

nPrerequisites:n

• 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

nSession 1n

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

nSession 2nnGet Matt Radtke – Programming Adaptive Strategies in AmiBroker downloadn

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

nSession 3n

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

Readmore: http://archive.li/tPrplINSTITUTIONAL 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.