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Practical Approach to Amibroker AFL Coding by Rajandran R Overview
introduction to Practical Approach to Amibroker AFL Coding by Rajandran R
Mastering the Amibroker AFL (AmiBroker Formula Language) is one of the most valuable skills for traders who want to create their own indicators, scanners, trading strategies, and even fully automated systems. The Practical Approach to Amibroker AFL Coding by Rajandran R is a comprehensive course designed to help traders — even those without prior programming experience — take full advantage of Amibroker’s powerful features.
This course starts from the absolute basics and gradually progresses to advanced coding and automation techniques, making it suitable for both beginners and intermediate traders. Whether your goal is to design custom strategies, backtest your ideas, or build automated trading dashboards, this program offers step-by-step training that transforms concepts into working AFL codes.
Why Learn Amibroker AFL Programming?
Most traders rely on pre-built indicators and strategies, but serious traders know the importance of customization. Amibroker’s AFL language provides the flexibility to design trading systems tailored to your style. With AFL, you can:
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Create your own buy/sell signals.
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Build custom scanners and filters for opportunities.
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Backtest strategies with accuracy.
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Automate your trading with broker APIs.
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Optimize strategies for higher performance.
By learning AFL, traders gain independence and creativity, reducing their reliance on third-party tools and systems.
Course Structure: Step-by-Step Learning
The Practical Approach to Amibroker AFL Coding is structured into 14 learning days, each focusing on specific areas of coding, trading system design, and automation.
Day 1–3: Foundations of Amibroker AFL
The course begins with a complete introduction to Amibroker and its features, including the AFL editor, constants, operators, and identifiers. Students quickly learn to plot signals and explore built-in functions such as EMA, MACD, and Bollinger Bands. Practical exercises include building simple scanners and applying conditional functions like IIF and ValueWhen.
Day 4–6: Building and Backtesting Strategies
From Day 4 onward, participants move into strategy development. You’ll learn how to create trading systems such as EMA crossovers and Supertrend strategies, followed by portfolio-level backtesting. You’ll also explore intraday systems, stop-loss techniques, and non-repainting strategies — all critical for real-world trading.
Day 7–9: Alerts, Optimization, and Automation
These sessions focus on practical applications. Students learn to configure alerts (sound, popup, email, and even smartphone notifications via Pushbullet). Optimization techniques, including Smart Optimizers, are covered in detail to help refine strategy performance. Most importantly, participants discover how to integrate Amibroker with broker APIs to send automated orders directly to exchanges.
Day 10–12: Advanced Looping and Execution
Rajandran introduces advanced looping methods, teaching students how to code complex strategies like Supertrend trailing stops. You’ll also learn how to apply advanced stop-loss functions, profit targets, and N-Bar stops using Amibroker’s backtester. These lessons provide a deep dive into coding efficiency and execution accuracy.
Day 13–14: Debugging and Options Backtesting
No programming journey is complete without debugging. The course dedicates time to teaching trace functions, debugging tools, and error handling. Finally, you’ll tackle multi-strike options backtesting, learning how to build templates for options portfolios and run simulations over multiple years of data.
Key Skills You Will Gain
By completing this course, you’ll walk away with the ability to:
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Write and debug AFL code confidently.
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Design custom indicators and scanners.
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Backtest and optimize trading strategies effectively.
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Implement stop-losses and risk management rules directly into your systems.
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Automate trade execution with broker APIs.
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Build dashboards and visual tools to monitor performance.
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Handle advanced scenarios such as multi-timeframe strategies and options backtesting.
About the Instructor – Rajandran R
The course is led by Rajandran R, a full-time trader and founder of Marketcalls, as well as co-founder of Traderscafe. With a background in Electronics and Communications, Rajandran specializes in discretionary trading concepts such as Market Profile and Orderflow, while also excelling in algorithmic trading models.
His expertise spans across multiple trading platforms including Amibroker, Ninjatrader, Esignal, Metastock, Motivewave, and Metatrader. With years of hands-on experience, Rajandran brings practical insights to help traders bridge the gap between trading ideas and automated execution.
Who Should Take This Course?
This course is perfect for:
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Beginner traders who want to design their first strategy.
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Intermediate traders looking to enhance their AFL knowledge.
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Algorithmic traders seeking to automate strategies.
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Technical analysts who want custom indicators.
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Full-time traders aiming for professional-level backtesting and optimization.
Why Choose This Course?
Unlike generic tutorials, this program provides a structured, practical approach with real coding examples. It not only explains how AFL works but also shows you why certain techniques are effective in real trading. With hands-on examples and continuous support, you gain practical skills that can immediately be applied in the market.
Conclusion
The Practical Approach to Amibroker AFL Coding by Rajandran R is more than just a coding course — it’s a complete guide to building, testing, and automating trading systems. Whether you are starting from scratch or already have experience in trading, this course will elevate your ability to create customized solutions, improve your trading consistency, and prepare you for professional algorithmic trading.
By the end, you’ll be fully equipped to turn any trading idea into a working AFL strategy, backtest it for accuracy, and even automate it for real-time execution.
