LARGE CAP MOMENTUM STRATEGY By Nick Radge – Immediately Download
If you prefer investing and trading decisions grounded in evidence—not opinions—momentum is one of the most defensible starting points. Across decades of academic and industry literature, momentum has repeatedly shown a persistent tendency: assets that have outperformed recently often continue to outperform over the medium term. The Large Cap Momentum Strategy by Nick Radge translates that research-backed idea into a practical, rules-based system focused on large-cap stocks, with a disciplined schedule that trades once per month.
This is a compact, ready-to-deploy code package delivered at 239.7 MB and priced at $178.50. It is designed for traders and investors who want a professional-grade momentum framework inside AmiBroker—with the ability to generate signals, run backtests, and tailor parameters without having to write code.
Free Download LARGE CAP MOMENTUM STRATEGY By Nick Radge – Here’s What You’ll Get Inside:
🔎 Overview This Course
The Large Cap Momentum Strategy is a turnkey, systematic trading framework built for identifying and rotating into large-cap leaders—stocks that are demonstrating stronger relative performance compared to their peers. Rather than relying on discretionary chart interpretation, the strategy uses a structured process to:
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Rank and select strong performers within a chosen universe
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Generate buy and sell signals based on momentum behavior
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Apply filters that can refine quality and tradability
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Rebalance positions on a monthly cadence to reduce noise and overtrading
A key differentiator is usability. This system is designed so you can explore a wide range of settings—such as momentum parameters, selection thresholds, filters, and sizing rules—through configuration rather than coding. At the same time, the underlying logic is not a “black box”: the code is viewable and editable, which supports transparency, auditability, and customization.
In practical terms, the strategy is intended to work with large caps because they tend to offer:
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Greater liquidity and tighter spreads compared to smaller names
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More consistent data quality
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Improved execution reliability for portfolio-style rotation
While the strategy targets large caps by design, the framework can be adapted to other universes if you have suitable data and the experience to validate changes via robust backtesting.
✅ Why Should You Choose This Course?
Most “momentum” products fall into one of two extremes: overly simplistic rules that ignore real-world frictions, or complex systems that are difficult to understand, validate, or maintain. This strategy is positioned in a more practical middle ground: research-aligned logic combined with implementation features that matter to serious market participants.
Reasons this course package stands out for international users include:
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Evidence-aligned methodology
Momentum is not a trendy hypothesis; it is one of the most studied return anomalies in finance. A strategy grounded in momentum offers conceptual clarity and a strong basis for systematic execution. -
Monthly trading schedule (time-efficient by design)
Trading once per month can reduce decision fatigue and lower transaction intensity versus higher-frequency approaches. It also encourages process discipline and reduces the temptation to over-manage positions. -
No coding required to operate or test
You can generate signals, run backtests, and adjust parameters through AmiBroker workflows without needing to write AFL from scratch—ideal if you want systematic capability without becoming a developer. -
Transparency and control
The code is not hidden. For advanced users, this enables review, modification, and alignment with internal portfolio rules or research preferences. -
Professional-grade filtering and sizing options
The strategy includes multiple filters (e.g., price, volume, turnover, market regime) and position sizing modes—features that support more realistic portfolio construction and testing. -
Designed for robust implementation
Large caps generally provide a smoother path from backtest to execution due to liquidity and tradability. For many systematic traders, that is a meaningful operational advantage.
If your goal is to adopt a repeatable process for large-cap rotation—one you can test, refine, and run consistently—this system is designed to support that workflow.
📚 What You’ll Learn
This package is not merely “a strategy file.” It is a practical learning environment for building momentum competence in a structured, testable way. By working with the system inside AmiBroker, you will learn how to:
Understand and apply large-cap momentum selection
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How momentum-style ranking and selection can be structured for systematic decision-making
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How a large-cap universe can improve liquidity and reduce implementation friction
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How monthly evaluation can help balance responsiveness with stability
Generate trading signals and interpret system outputs
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How to produce clear buy/sell signals from a rules-based framework
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How to interpret signal behavior across changing market conditions
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How to monitor the strategy’s rotation logic without emotional interference
Run backtests with discipline (and avoid common pitfalls)
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How to test momentum settings responsibly using consistent assumptions
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How to compare parameter choices without “curve fitting” your way into false confidence
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How to evaluate performance with attention to drawdowns, turnover, and regime sensitivity
Refine tradability using practical filters
The strategy includes configurable filters that can be used to shape portfolio quality and execution realism, such as:
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Price filters (e.g., avoiding ultra-low priced stocks if desired)
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Volume and turnover filters (supporting liquidity-aware selection)
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Market regime filters (helping align exposure with broader conditions)
Apply position sizing with structure
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How to use alternative sizing modes to align risk with your portfolio preferences
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How sizing choices influence volatility, drawdowns, and concentration
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How to think about portfolio construction in a rotation strategy context
Develop a systematic mindset
Momentum trading often challenges investor psychology because it requires:
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Buying what has already risen (when the mind fears “it’s too late”)
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Selling what has lagged (when the mind wants to “wait for a rebound”)
Working with a rules-based system helps you train discipline and reduce impulsive overrides.
🧩 Core Benefits
For a systematic trader or serious investor, the value of a strategy package is measured by usability, transparency, and the quality of decision structure—not marketing claims. The Large Cap Momentum Strategy delivers several concrete advantages:
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Turnkey implementation in AmiBroker
You can deploy the logic directly in your environment rather than assembling fragmented pieces from multiple sources. -
Parameter flexibility without programming
Adjust and test settings without needing to build your own code framework from zero. -
Signal generation + backtesting in one workflow
You can research, validate, and operationalize using the same platform and logic set. -
Liquidity-aware design philosophy
Large-cap focus and optional liquidity-related filters support more practical portfolio execution. -
Once-per-month cadence
A structured monthly schedule can help reduce noise-driven decisions and support long-term process adherence. -
Full transparency of logic
Viewable and editable code supports auditability—particularly important for traders who care about understanding what drives outcomes. -
Adaptability across universes (for advanced users)
With proper data and testing discipline, the framework can be extended beyond large caps—useful if you manage multiple watchlists or markets.
👥 Who Should Take This Course?
This strategy package is best suited for users who want a systematic, test-first approach and are comfortable operating inside a trading research platform.
A strong fit for:
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Systematic traders who want a large-cap momentum rotation model with a monthly schedule
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Portfolio-style investors seeking a rules-based method to stay aligned with market leadership
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AmiBroker users who want a configurable strategy without building everything from scratch
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Traders who value transparency and prefer editable logic rather than closed systems
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Learners transitioning from discretionary trading into structured, testable decision-making
Consider carefully if you are:
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Completely new to AmiBroker and not yet familiar with basic workflows
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Looking for intraday or high-frequency trading logic (this is monthly rotation by design)
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Expecting personalized mentorship or hands-on platform training (this is turnkey code intended for users who already know how to operate AmiBroker)
Technical requirements (practical essentials):
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AmiBroker v6.0 or higher (Standard or Professional)
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A reliable stock data source (the provider associated with the original materials recommends Norgate Data)
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General comfort with importing data, running backtests, and interpreting results in AmiBroker
A brief professional note for international readers: this package is best treated as general educational and research-oriented material. Any real-money use should be evaluated against your objectives, risk tolerance, and (where appropriate) professional advice.
🧾 Conclusion
The Large Cap Momentum Strategy by Nick Radge is a practical implementation of a research-supported momentum approach, engineered for large-cap selection and designed to trade once per month. It is built for traders and investors who want a transparent, configurable system that can generate signals, run backtests, and support iterative improvement—without requiring coding skills to operate.
As delivered, the package size is 239.7 MB, and the price is $178.50. To use it effectively, you will need AmiBroker v6.0+ and a dependable stock data source, with many users preferring institutional-grade providers such as Norgate-style datasets for cleaner testing and execution reliability.
If you want a disciplined large-cap momentum framework that you can validate, tune, and run with process integrity, add this strategy to your AmiBroker toolkit and begin testing it against your market universe this month.


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