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Advanced AmiBroker Coding Course by Matt Radtke & Connors Research
Master Advanced AFL Programming and Custom Backtesting to Build Professional-Grade Trading Systems
If you’re ready to take your trading analysis to the next level — beyond basic backtesting and indicators — then the Advanced AmiBroker Coding Course by Matt Radtke and Connors Research is your next step.
This course is designed for traders who want to leverage AmiBroker’s full programming power to build, test, and optimize professional-level trading systems. You’ll learn the exact AFL and Custom Backtester (CBT) techniques used by Connors Research to create institutional-grade strategies with advanced portfolio simulations, scaling logic, and custom performance metrics.
🎯 Why Learn Advanced AmiBroker Programming?
AmiBroker is one of the most powerful trading analysis platforms available — but only a fraction of traders ever learn to unlock its true potential.
With advanced AFL scripting and CBT customization, you can:
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Simulate your real-world trading logic exactly as you trade it
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Run deep-dive portfolio backtests that mirror professional hedge fund testing
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Build custom metrics, hedging systems, and position sizing models
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Avoid “black-box” dependence and design your own edge
Whether you trade stocks, ETFs, forex, or futures, this course gives you the coding and analytical skills to design, test, and refine systems that perform under all market conditions.
🧠 What You’ll Learn in the Course
Taught by Matt Radtke, Director of Research for Connors Research, this course gives you the tools to create your own high-grade trading models — the same kind used by professional quants and proprietary firms.
By the end of this training, you’ll be able to:
✅ Build and customize your own backtesting engine using AmiBroker’s CBT interface
✅ Develop personalized trading systems tailored to your style, risk, and psychology
✅ Add your own trade metrics and performance measures
✅ Optimize your strategies correctly — without falling into overfitting traps
✅ Use multiple timeframes (like combining weekly and daily bars)
✅ Code advanced scaling, position sizing, and hedging strategies
✅ Perform portfolio-level simulations to measure cross-strategy performance
🧩 Course Modules Overview
1️⃣ Introduction – Unlocking AmiBroker’s Full Potential
Start with a deep understanding of AmiBroker’s structure, data handling, and scripting logic.
Learn how to move from simple explorations and backtests to advanced portfolio-level simulations using the Custom Backtester Interface (CBT).
2️⃣ Advanced AFL Functions
Explore AmiBroker’s most useful yet underutilized functions for advanced system development:
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_TRACE()for debugging -
Foreign()andSetForeign()for multi-symbol analysis -
SetTradeDelaysfor realistic execution modeling -
Status and Lookup functions
By mastering these, you’ll be able to craft sophisticated logic that adapts to real-world conditions.
3️⃣ Optimization and Strategy Refinement
Learn to properly optimize strategies with AmiBroker’s built-in functions:
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Optimize()andSwitch()for parameter testing -
Avoiding “curve fitting” and developing statistically validated improvements
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Building optimization loops that reveal the true behavior of your strategy
4️⃣ Timeframe Control and Multi-Timeframe Systems
Master time-based analysis using:
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TimeFrameCompress,TimeFrameExpand,TimeFrameSet, andTimeFrameRestore -
Combine weekly and daily bars within one test
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Code rules like “trade only when the weekly trend aligns with daily entry signals”
This is one of the key skills professional quants use to make multi-layered trading models.
5️⃣ Scaling In and Position Sizing
Go beyond fixed lots — design intelligent position sizing and scale-in logic to increase profitability:
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Implement Connors Research’s 2/3/5 scaling technique
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Understand average entry pricing and trade weighting
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Code portfolio constraints like max positions and position scoring
Includes full code templates for scaling and position management.
6️⃣ Portfolio-Level Simulations
Learn to simulate realistic portfolio trading, not just individual trade signals:
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Prioritizing signals
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Allocating capital
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Managing margins
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Controlling the number of open positions
You’ll see how to write AFL code that behaves like an actual portfolio, giving you more realistic expectations and better risk control.
7️⃣ Introduction to the Custom Backtester (CBT)
Get hands-on with AmiBroker’s Custom Backtester, the key to true professional analysis.
You’ll learn:
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The three levels of CBT (high, medium, low)
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How to write custom backtesting logic
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How to add custom reports, metrics, and trade analysis
This is where retail-level testing becomes institutional-grade research.
8️⃣ High-Level CBT and Custom Metrics
Learn to calculate your own performance measures — like Trade Quality, monthly returns, and yearly breakdowns — all inside AmiBroker’s report output.
You’ll work through templates for:
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Per-trade metrics
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Portfolio summary metrics
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Custom reporting dashboards
9️⃣ Low-Level CBT: Professional Strategy Engineering
This is where the course reaches its full power. You’ll implement:
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Custom portfolio-level simulations
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Interest-bearing cash
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Rotational systems
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Hedging strategies
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Order sequencing and priority logic
These techniques are the foundation of institutional trading system design.
10️⃣ Common Pitfalls & Debugging Techniques
Avoid common errors that can lead to misleading backtest results:
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“Look-ahead bias” and unrealistic execution
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Incorrect trade timing
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Over-optimization traps
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Coding inefficiencies
Learn how to verify your work and ensure your system results are accurate and robust.
📚 Course Materials & Resources
Your enrollment includes:
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Over 7 hours of expert instruction with Matt Radtke
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Full AFL and CBT code templates for immediate use
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Hands-on breakout sessions for real-time coding practice
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Lifetime access to recordings and materials
👨🏫 About the Instructor – Matt Radtke
Matt Radtke is the Senior Researcher at Connors Research, with a 25-year background in software engineering and over 15 years of active trading experience.
Before joining Connors, Matt worked at Hewlett-Packard and Bell Northern Research, where he specialized in complex systems development. His combination of deep programming knowledge and real-world trading experience makes him uniquely qualified to teach advanced AmiBroker development.
🧩 About Connors Research
For over a decade, Connors Research has been a global leader in quantitative trading education and data-driven strategy development.
Their research is:
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✅ Original and proprietary — not found anywhere else
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✅ Backed by over 12 million quantified trades
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✅ Used by hedge funds, prop firms, and professional traders worldwide
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✅ Historically validated across all market types
From best-selling books like “How Markets Really Work” to institutional advisory services, Connors Research has helped thousands of traders turn data into consistent profits.
💼 Who This Course Is For
This advanced-level course is ideal for:
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Traders familiar with AmiBroker and basic AFL
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Quantitative analysts and developers
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Portfolio managers and system traders
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Anyone looking to customize AmiBroker for institutional-level testing and modeling
If you’ve completed “Introduction to AmiBroker” or have experience writing simple AFL scripts — this course will take your skills to the next professional level.
⚙️ Key Benefits at a Glance
✅ Learn directly from Connors Research’s Director of Research
✅ Gain full control over your backtesting logic and results
✅ Design, optimize, and validate professional-grade trading systems
✅ Avoid common coding errors and “curve fitting” traps
✅ Create your own custom trading reports and metrics
✅ Improve your portfolio performance with advanced system engineering
🚀 Start Building Smarter Trading Systems Today
Stop relying on pre-built indicators and limited backtests.
Learn how to engineer your own data-driven, institutional-grade trading systems using AmiBroker.
Enroll in the Advanced AmiBroker Coding Course by Matt Radtke & Connors Research today — and gain the power to test, refine, and optimize your own trading edge with total confidence.
👉 Enroll Now to unlock your full potential as a system developer and trader.


