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  • Matt Radtke Programming Adaptive Strategies in AmiBroker

Matt Radtke – Programming Adaptive Strategies in AmiBroker

$52.00

This entire “Matt Radtke Programming Adaptive Strategies in AmiBroker” is completely downloadable and available in your account.

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… File Size: 1.57 GB

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What You’ll Discover in Matt Radtke Programming Adaptive Strategies in AmiBroker

AmiBroker Version 6.0 or higher must be installed. Version 6.20 or higher is preferred. Setup a data source and made it work. AmiBroker. You should have a basic knowledge of AFL and the ability to execute it back. File Size: 1.57GB

Matt Radtke – Programming Adaptive Strategies in AmiBroker

Matt Radtke - Programming Adaptive Strategies in AmiBroker

This course will teach you how to develop adaptive trading strategies. AmiBrokerYou can use the Custom Backtest (CBT), interface that was introduced in The CBT Intensive.

After completing this course, you’ll be able to:

  • Define your Market Regimes
  • Take into account how trade setup, entry and exit are assigned to a particular regime
  • Summarize metrics according to regime
  • Modify your AFL so that it uses adaptive (regime)-Particular) parameters
  • Compare adaptive strategy performance to a baseline

Prerequisites:

  • AmiBroker Version 6.0 or higher must be installed. Version 6.20 or higher is preferred.
  • Configured the data source to work with it. AmiBroker.
  • A basic knowledge of AFL is required, including the ability create back tests and optimize with them. AmiBroker’s standard back test engine.
  • Understanding the workings of the CBT, including the AmiBroker Create custom metrics by creating an object model

Get your instant download Matt Radtke – Programming Adaptive Strategies in AmiBroker

Topic Summary

Session 1

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

Session 2

  1. Out-This is-Probe Testing
  2. In-Exemple of Optimization
  3. Evaluation in Excel
  4. AFL Updates

Session 3

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

Learn more:  http://archive.li/tPrpl

 

 

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