Advanced AmiBroker Coding

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Advanced AmiBroker Coding

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Are You a Trader Who Is Looking to Learn Advanced AmiBroker Programming Skills to Improve Your Trading Results?Are You a Trader Who Is Looking to Learn Advanced AmiBroker Programming Skills to Improve Your Trading Results?

You already know that AmiBroker is an extremely powerful tool for performing technical analysis. At Connors Research, it’s the application that we use for everything from simple signal generation to simulating portfolio results for complex strategies involving limit orders, scaling, hedging and more. If you’re ready to tackle these advanced analysis tasks yourself, then this course is for you.You already know that AmiBroker is an extremely powerful tool for performing technical analysis. At Connors Research, it’s the application that we use for everything from simple signal generation to simulating portfolio results for complex strategies involving limit orders, scaling, hedging and more. If you’re ready to tackle these advanced analysis tasks yourself, then this course is for you.

Sign-up for Our 2-Day CourseSign-up for Our 2-Day Course

On June 9 & 10 Matt Radtke, Director Of Research for Connors Research taught the same AmiBroker programming techniques Connors Research uses in order to create and build high performing strategies. By the end of this course, you will have the ability to do your own high grade testing and analysis that so many professional traders rely upon to improve their trading and investing returns.On June 9 & 10 Matt Radtke, Director Of Research for Connors Research taught the same AmiBroker programming techniques Connors Research uses in order to create and build high performing strategies. By the end of this course, you will have the ability to do your own high grade testing and analysis that so many professional traders rely upon to improve their trading and investing returns.

By harnessing the full power of AmiBroker, you can simulate historical results for a system that mirrors exactly the way you trade, and thereby gain insights into how it might perform in the future. In this course we will teach you exactly how to do this.By harnessing the full power of AmiBroker, you can simulate historical results for a system that mirrors exactly the way you trade, and thereby gain insights into how it might perform in the future. In this course we will teach you exactly how to do this.

Course ObjectivesCourse Objectives

This course is designed for traders who want to use AmiBroker to create complex backtests and optimizations using the Custom Backtester (CBT) interface. At the completion of this course, you will be able to:This course is designed for traders who want to use AmiBroker to create complex backtests and optimizations using the Custom Backtester (CBT) interface. At the completion of this course, you will be able to:

• Determine when to use each of the three levels of the Custom Backtester. Within minutes customize any system to fit your personal trading style, psychological profile and risk preference. Get into the nitty-gritty details of system development to build your private trading system. You will learn how to customize your own position sizing, your own hedging strategy, your own trade timing, and your own scale-in strategy.Determine when to use each of the three levels of the Custom Backtester. Within minutes customize any system to fit your personal trading style, psychological profile and risk preference. Get into the nitty-gritty details of system development to build your private trading system. You will learn how to customize your own position sizing, your own hedging strategy, your own trade timing, and your own scale-in strategy.
• Add custom metrics via the Custom Backtester. Flesh out more robust trade results so you can compare different trading systems using customer metrics like Trade Quality. Integrate annual breakdowns of trades or annual breakdown of returns into your results. Verify that your system will perform consistently month after month and year after year, and remain robust through both good years and difficult years.Add custom metrics via the Custom Backtester. Flesh out more robust trade results so you can compare different trading systems using customer metrics like Trade Quality. Integrate annual breakdowns of trades or annual breakdown of returns into your results. Verify that your system will perform consistently month after month and year after year, and remain robust through both good years and difficult years.
• Develop your own trading model from scratch so that you can evaluate how your ideas would do under historical trading conditions.Develop your own trading model from scratch so that you can evaluate how your ideas would do under historical trading conditions.
• Use some of AB’s more powerful functions. Now you can refine and improve your existing trading system, lower your risk, and improve performance.Use some of AB’s more powerful functions. Now you can refine and improve your existing trading system, lower your risk, and improve performance.
• Perform correct optimizations. Avoiding the pitfalls for “over-optimization” develop historically validated enhancements to your trading system.Perform correct optimizations. Avoiding the pitfalls for “over-optimization” develop historically validated enhancements to your trading system.
• Utilize multiple time frames, such as using weekly bars in a daily bar test. Further improve your system’s accuracy by trading along with short and long-term time frames.Utilize multiple time frames, such as using weekly bars in a daily bar test. Further improve your system’s accuracy by trading along with short and long-term time frames.
• Scale into positions. Build into your trading system, the same proprietary scaling-in methods of Connors Research’s best strategies.Scale into positions. Build into your trading system, the same proprietary scaling-in methods of Connors Research’s best strategies.
• Take portfolio considerations into account in your coding. Find ways to lift the performance of multiple positions in your portfolio, taking into consideration the overall performance of your portfolio.Take portfolio considerations into account in your coding. Find ways to lift the performance of multiple positions in your portfolio, taking into consideration the overall performance of your portfolio.

What’s IncludedWhat’s Included

• Over seven hours of online instruction with Matt Radtke.Over seven hours of online instruction with Matt Radtke.
• Several breakout sessions during which you will spend hands-on time with AmiBrokerSeveral breakout sessions during which you will spend hands-on time with AmiBroker
• AFL and CBT code templates that you can easily modify for you own needs.AFL and CBT code templates that you can easily modify for you own needs.

PrerequisitesPrerequisites

• AmiBroker version 5.5 or later installed.AmiBroker version 5.5 or later installed.
• A data source configured to work with AmiBroker (we can help you with this before the class, if needed).A data source configured to work with AmiBroker (we can help you with this before the class, if needed).
• Basic familiarity with AFL and the topics covered in the “Introduction to AmiBroker” course.Basic familiarity with AFL and the topics covered in the “Introduction to AmiBroker” course.

TopicsTopics

IntroductionIntroduction

AmiBroker is an extremely powerful analysis tool, and like any powerful tool it requires training and practice to use it effectively. In today’s course we will do a deep dive into some of AmiBroker’s most powerful functionality, including portfolio backtests, optimizations, and the Custom Backtester Interface or CBT.AmiBroker is an extremely powerful analysis tool, and like any powerful tool it requires training and practice to use it effectively. In today’s course we will do a deep dive into some of AmiBroker’s most powerful functionality, including portfolio backtests, optimizations, and the Custom Backtester Interface or CBT.

Advanced FunctionsAdvanced Functions

AmiBroker’s AFL scripting language provides a diverse set of variables, commands and functions that you can use to develop custom indicators, scans, explorations, backtests, and explorations. In fact, the AFL help file lists over 350 AFL functions. In this session we will discuss a few of the functions that you will find most useful as you begin to develop more advanced AFL scripts.AmiBroker’s AFL scripting language provides a diverse set of variables, commands and functions that you can use to develop custom indicators, scans, explorations, backtests, and explorations. In fact, the AFL help file lists over 350 AFL functions. In this session we will discuss a few of the functions that you will find most useful as you begin to develop more advanced AFL scripts.

• StatusStatus
• LookupLookup
• _TRACE()_TRACE()
• SetTradeDelaysSetTradeDelays
• Foreign/SetForeignForeign/SetForeign

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OptimizationOptimization

An optimization allows you to automatically execute a set of backtests in which each test has a unique set of input parameters. Each test (combination of parameters) typically corresponds to a specific strategy variation. For example, we might want to test a strategy in which the ConnorsRSI threshold for trade entry varies from 10 to 25 in increments of 5. In this session we will discuss how to convert the AFL for a back test into an optimization.An optimization allows you to automatically execute a set of backtests in which each test has a unique set of input parameters. Each test (combination of parameters) typically corresponds to a specific strategy variation. For example, we might want to test a strategy in which the ConnorsRSI threshold for trade entry varies from 10 to 25 in increments of 5. In this session we will discuss how to convert the AFL for a back test into an optimization.

• How to set upHow to set up
• The Optimize functionThe Optimize function
• Using the Switch function to handle odd incrementsUsing the Switch function to handle odd increments

TimeFrame Compress/Expand and Set/RestoreTimeFrame Compress/Expand and Set/Restore

When you run a backtest, AmiBroker allows you to select the base duration for each “bar” of the test. This is also known as the timeframe. You can test 1-minute bars, daily bars, weekly bars, etc. Sometimes, however, you want to use multiple timeframes within a single test. For example, some of our strategies use a market timing rule that compares the current weekly close of SPY to the weekly closes over the past year. In this section we’ll illustrate the use of the AFL functions for manipulating timeframes.When you run a backtest, AmiBroker allows you to select the base duration for each “bar” of the test. This is also known as the timeframe. You can test 1-minute bars, daily bars, weekly bars, etc. Sometimes, however, you want to use multiple timeframes within a single test. For example, some of our strategies use a market timing rule that compares the current weekly close of SPY to the weekly closes over the past year. In this section we’ll illustrate the use of the AFL functions for manipulating timeframes.

• Functions: TimeFrameCompress, TimeFrameExpand, TimeFrameSet, TimeFrameRestoreFunctions: TimeFrameCompress, TimeFrameExpand, TimeFrameSet, TimeFrameRestore
• How to use weekly bars during a daily bar testHow to use weekly bars during a daily bar test
• Easily setting end of week/month/quarter variablesEasily setting end of week/month/quarter variables
• Review TimeFrame code examplesReview TimeFrame code examples

Scaling & the Position Size ArrayScaling & the Position Size Array

Scaling into trades is a powerful tool for increasing gains. In this session we will discuss how to implement a basic scaling strategy for an All Trades test.Scaling into trades is a powerful tool for increasing gains. In this session we will discuss how to implement a basic scaling strategy for an All Trades test.

• The 2/3/5 scale inThe 2/3/5 scale in
• Review the Scale-In Code TemplateReview the Scale-In Code Template
• Average entry priceAverage entry price
• Interpreting the trade listInterpreting the trade list

Exercise: Creating an All Trades Test with ScalingExercise: Creating an All Trades Test with Scaling

This hands-on session will be devoted to executing the scale-in code template and verifying that the strategy logic is working as expected.This hands-on session will be devoted to executing the scale-in code template and verifying that the strategy logic is working as expected.

Portfolio ConsiderationsPortfolio Considerations

Simulating how a strategy would actually be traded as part of a portfolio is a big step up from simply generating trading signals or running an “all trades” test. In this session we’ll discuss money management issues like position sizing and margin, as well as mechanics like prioritizing your trade signals and limiting the number of open positions.Simulating how a strategy would actually be traded as part of a portfolio is a big step up from simply generating trading signals or running an “all trades” test. In this session we’ll discuss money management issues like position sizing and margin, as well as mechanics like prioritizing your trade signals and limiting the number of open positions.

• Max PositionsMax Positions
• SetPositionSizeSetPositionSize
• Round Lot SizeRound Lot Size
• Position ScorePosition Score
• MarginMargin

Introduction to the CBTIntroduction to the CBT

The Custom Backtester Interface, or CBT, is one of the most powerful tools available in AmiBroker. Writing your own backtesting code gives you an enormous amount of control over how your trading signals are executed as well as opening up a myriad of possibilities for reporting and metrics. In this section we will introduce the CBT and discuss the simplest possible implementation of a custom backtesting procedure.The Custom Backtester Interface, or CBT, is one of the most powerful tools available in AmiBroker. Writing your own backtesting code gives you an enormous amount of control over how your trading signals are executed as well as opening up a myriad of possibilities for reporting and metrics. In this section we will introduce the CBT and discuss the simplest possible implementation of a custom backtesting procedure.

• Why is it useful?Why is it useful?
• Three levels: high/medium/lowThree levels: high/medium/low
• CBT-specific functions: SetBacktestMode and SetCustomBacktestProcCBT-specific functions: SetBacktestMode and SetCustomBacktestProc
• Static VariablesStatic Variables
• Review the High-Level CBT Code TemplateReview the High-Level CBT Code Template

High Level CBT and Custom MetricsHigh Level CBT and Custom Metrics

Using the high level CBT is a great way to implement custom metrics without having to handle the intricacies of processing all the trade signals. In this session we will discuss both per-trade custom metrics and summary custom metrics, and illustrate how those are implemented using a code template.Using the high level CBT is a great way to implement custom metrics without having to handle the intricacies of processing all the trade signals. In this session we will discuss both per-trade custom metrics and summary custom metrics, and illustrate how those are implemented using a code template.

• Custom Trade MetricsCustom Trade Metrics
• Custom Portfolio/Summary MetricsCustom Portfolio/Summary Metrics
• Review the Trade Metrics Code TemplateReview the Trade Metrics Code Template
• Review the Portfolio Metrics Code TemplateReview the Portfolio Metrics Code Template

Exercise: Generating Custom Metrics using the Code TemplatesExercise: Generating Custom Metrics using the Code Templates

This exercise will give you hands-on experience implementing, executing, and troubleshooting custom metrics.This exercise will give you hands-on experience implementing, executing, and troubleshooting custom metrics.

Low Level CBTLow Level CBT

The low level CBT is the go-to interface that members of Connors Research use for implementing backtests and optimizations. We will discuss the types of problems that can be solved with this construct, particularly in the context of portfolio tests, and illustrate the solutions with example code.The low level CBT is the go-to interface that members of Connors Research use for implementing backtests and optimizations. We will discuss the types of problems that can be solved with this construct, particularly in the context of portfolio tests, and illustrate the solutions with example code.

• Types of tasks that typically require the Low Level CBTTypes of tasks that typically require the Low Level CBT

• Applying a custom interest rate such as T-Bill to available cashApplying a custom interest rate such as T-Bill to available cash
• Portfolio test with limits and/or scale-insPortfolio test with limits and/or scale-ins
• Controlling order of entries and exitsControlling order of entries and exits
• Rotational systemsRotational systems
• HedgingHedging

• Review the Low-Level CBT Code TemplateReview the Low-Level CBT Code Template

Exercise: Implementing a Portfolio Test with Limit EntriesExercise: Implementing a Portfolio Test with Limit Entries

In this exercise, students will implement their own portfolio test with limit entries, using the code templates provided. This mini-project will combine many of the skills used throughout the course.In this exercise, students will implement their own portfolio test with limit entries, using the code templates provided. This mini-project will combine many of the skills used throughout the course.

Common MistakesCommon Mistakes

The more power and flexibility that a tool provides for its user, the more opportunities there are for things to go awry. In this session we will discuss some common pitfalls that occur when doing portfolio tests with AmiBroker. As one colleague stated, “if the results seem too good to be true, I probably made a mistake”.The more power and flexibility that a tool provides for its user, the more opportunities there are for things to go awry. In this session we will discuss some common pitfalls that occur when doing portfolio tests with AmiBroker. As one colleague stated, “if the results seem too good to be true, I probably made a mistake”.

• Trade timingTrade timing
• Looking into the futureLooking into the future
• Implementing trading rules that are impossible to execute in real lifeImplementing trading rules that are impossible to execute in real life

Additional Sources and Q&AAdditional Sources and Q&A

Total Time Estimate: 7-8 hoursTotal Time Estimate: 7-8 hours

This Course is for Experienced AmiBroker Programmers who are Looking to Learn Advanced Programming Skills To Improve Their Trading Results.This Course is for Experienced AmiBroker Programmers who are Looking to Learn Advanced Programming Skills To Improve Their Trading Results.

Sign Up TodaySign Up Today

The cost of “The cost of “Advanced AmiBroker ProgrammingAdvanced AmiBroker Programming” is $1500. This course is available On-Demand. You will receive two days worth of instruction, advanced knowledge on how to backtest your strategies, along with knowledge on how to best use the CBT.” is $1500. This course is available On-Demand. You will receive two days worth of instruction, advanced knowledge on how to backtest your strategies, along with knowledge on how to best use the CBT.

***Beginning Class in AmiBroker Programming is available.******Beginning Class in AmiBroker Programming is available.***

SPECIAL OFFERSPECIAL OFFER: If you would like to take both the Beginning and Advanced AmiBroker Courses together for a special discounted price of $2,000 (save $500): If you would like to take both the Beginning and Advanced AmiBroker Courses together for a special discounted price of $2,000 (save $500)

Advanced AmiBroker CodingAdvanced AmiBroker Coding

Class Dates: Class Dates: On-DemandOn-Demand

Price: $1,500Price: $1,500

If you have any questions, please call us directly atIf you have any questions, please call us directly at
888-484-8220 ext. 3,888-484-8220 ext. 3, 9am-5pm ET, M-F, 9am-5pm ET, M-F,
(or 973-494-7311 ext 3, outside the U.S.) (or 973-494-7311 ext 3, outside the U.S.)

About the Class Instructor

Matt RadtkeMatt Radtke
Matt Radtke is Senior Researcher for Connors Research. Mr. Radtke graduated magna cum laude from Michigan State University with a degree in computer science. He has 25 years of software development experience in companies large and small, including Hewlett-Packard and Bell Northern Research. Mr. Radtke has been actively trading stocks, ETFs, and options since 2008. Over the past several years he has become increasingly involved with the Connors Group family of companies, first as a student, then as a member of Chairman’s Club, and finally as a consultant, researcher, and author. Matt Radtke is Senior Researcher for Connors Research. Mr. Radtke graduated magna cum laude from Michigan State University with a degree in computer science. He has 25 years of software development experience in companies large and small, including Hewlett-Packard and Bell Northern Research. Mr. Radtke has been actively trading stocks, ETFs, and options since 2008. Over the past several years he has become increasingly involved with the Connors Group family of companies, first as a student, then as a member of Chairman’s Club, and finally as a consultant, researcher, and author.

About Connors Research

For over 12 years, Connors Research has provided the highest-quality, data-driven research on trading for individual investors, hedge funds, proprietary trading firms, and bank trading desks around the world.For over 12 years, Connors Research has provided the highest-quality, data-driven research on trading for individual investors, hedge funds, proprietary trading firms, and bank trading desks around the world.

The strategies published by Connors Research are:The strategies published by Connors Research are:

• Completely Original & Unique to Connors ResearchCompletely Original & Unique to Connors Research
  You will not find these strategies published anywhere else. You will not find these strategies published anywhere else.
• Consistent with Strategies Used by Billion-Dollar Hedge FundsConsistent with Strategies Used by Billion-Dollar Hedge Funds
  Institutional money managers make decisions based on sophisticated, computer-run analyses of massive amounts of trading data. Institutional money managers make decisions based on sophisticated, computer-run analyses of massive amounts of trading data.
• Historically Validated Over Many Years and All Types of MarketsHistorically Validated Over Many Years and All Types of Markets
  We quantify precise patterns to improve your trading decisions. Our proprietary database spans over two decades, with more than 12 million quantified trades. We quantify precise patterns to improve your trading decisions. Our proprietary database spans over two decades, with more than 12 million quantified trades.
• Tens of Thousands of Traders Have Relied on Our Research Over The YearsTens of Thousands of Traders Have Relied on Our Research Over The Years
  From best-selling books, like “How Markets Really Work”, to our PowerRatings subscription service, Connors Research continues to give active traders tools to achieve professional-level results. From best-selling books, like “How Markets Really Work”, to our PowerRatings subscription service, Connors Research continues to give active traders tools to achieve professional-level results.

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