OPEN-SOURCE SCRIPT
Aktualisiert MFx Structural Terrain Engine V1
Description
Mfx Structural Terrain Engine is a market structure indicator designed to place price into a long-term structural context rather than relying on traditional overbought/oversold oscillators.
Instead of asking: "Is price high or low?"
the engine asks: "Where is price relative to its long-term structural growth path?"
The indicator combines:
Structural Power Law modeling
Long-term moving average context
Adaptive terrain zones
Multi-timeframe structural analysis to classify where price currently resides within the broader market cycle.
The engine is designed to work across multiple asset classes including cryptocurrencies, equities, ETFs, indices, commodities, and forex using asset-specific structural profiles and automatic higher-timeframe routing.
Rather than producing buy or sell signals, it provides a structural framework for evaluating opportunity, fair value, accumulation, and potential exhaustion.
Features
Multi-asset structural profiles
Automatic higher-timeframe routing (TradFi & Crypto)
Structural Power Law spine
Long-term structural moving average
Adaptive terrain bands
Market cycle positioning
Structural zone classification
Structural confidence scoring
Clean structural dashboard
Supported Markets
The Structural Terrain Engine is designed to analyze a wide range of markets, including:
Bitcoin
Cryptocurrencies
Stocks
ETFs
Market Indices
Commodities
Forex
Each asset class can use its own structural profile while the indicator automatically adapts its higher-timeframe context for continuous (crypto) and session-based (traditional) markets.
Terrain Zones...The terrain is divided into six structural regions.
Generational Opportunity...Historically represents periods of extreme structural undervaluation.
Deep Opportunity...Price remains significantly below structural value while long-term risk has historically been reduced.
Accumulation...Price begins transitioning back toward structural equilibrium.
Fair Value...Price is trading near its expected long-term structural path.
Extended...Price is becoming increasingly stretched above structural value.
Campaign Exhaustion...Historically associated with elevated structural risk and mature market cycles.
Dashboard Metrics
Market State...Summarizes the current structural zone together with the model's confidence.
Example: Deep Opportunity - Moderate Confidence
Price vs Spine: Shows where price is relative to the selected structural spine.
1.00× = Price is exactly on the structural model.
Above 1.00× = Price is trading above structure.
Below 1.00× = Price is trading below structure.
Distance to Spine: Displays the absolute price difference between the current market price and the structural spine.
Cycle Position: Normalizes price into a 0–100 structural cycle score.
Lower values generally represent deeper structural opportunity.
Higher values indicate progressively later-cycle conditions.
Current Zone: Displays the terrain region price currently occupies.
Model Alignment: Measures how closely the structural models agree with one another.
Higher values indicate stronger agreement between the independent structural models.
Signal Confidence: Represents the overall confidence of the structural assessment.
Higher confidence suggests stronger structural evidence supporting the current terrain classification.
Structural Growth: Shows how quickly the structural spine is advancing over time.
Positive values indicate structural expansion.
Timeframe Routing: The indicator automatically selects a higher-timeframe context based on the current chart.
Chart Context
15m 1H
30m 2H
1H 4H
3H 6H
6H 1D (TradFi) / 12H (Crypto)
12H 2D
1D 3D
3D 1W
1W 2W
2W 1M
Manual timeframe selection is also available.
Inputs
Structural Model
Asset Profile
Select the structural profile best suited for the instrument.
Examples include:
Bitcoin
Crypto
Equities
Commodities
Custom
Structural Spine
Choose which structural model is used as the primary reference.
Available options include:
Structural
Power Law
Context
Timeframe Routing
Choose how the higher-timeframe context is selected.
Options: Profile Default, Auto TradFi, Auto Crypto, Manual, Manual Higher Timeframe...Overrides automatic timeframe routing.
Terrain: Show Terrain Bands...Displays the structural valuation bands.
Show Structural Moving Average: Displays the higher-timeframe structural moving average.
Show Power Law: Displays the structural Power Law spine.
Show Zone Labels: Displays terrain zone labels beside the chart.
Zone Label Offset: Moves zone labels closer to or farther from price.
Zone Label Size: Adjusts the size of terrain labels.
Blending: Adjust how different structural models contribute to the final structural spine.
A reserved external-model weighting is included for future integration of additional verified structural models.
Who Is This For?
The Structural Terrain Engine is intended for investors and traders who want to understand where price sits within a larger structural cycle, rather than relying solely on short-term indicators. It can be used as a standalone market framework or alongside existing technical analysis for timing, confirmation, and risk management.
How to Use: The indicator is designed for structural analysis—not short-term trading signals.
Many traders use it to:
Identify long-term accumulation areas.
Gauge whether price is historically extended.
Monitor structural trend health.
Add higher-timeframe context to lower-timeframe decisions.
Evaluate market cycle progression.
Compare multiple asset classes using a consistent structural framework.
The terrain should be interpreted as a probabilistic framework rather than a prediction engine.
Notes
Confirmed higher-timeframe calculations do not repaint.
Structural models are intended for long-term market analysis.
Automatic timeframe routing adapts differently for traditional markets and 24/7 crypto markets.
The indicator is designed to provide structural context and should be used alongside sound risk management and additional market analysis.
Mfx Structural Terrain Engine is a market structure indicator designed to place price into a long-term structural context rather than relying on traditional overbought/oversold oscillators.
Instead of asking: "Is price high or low?"
the engine asks: "Where is price relative to its long-term structural growth path?"
The indicator combines:
Structural Power Law modeling
Long-term moving average context
Adaptive terrain zones
Multi-timeframe structural analysis to classify where price currently resides within the broader market cycle.
The engine is designed to work across multiple asset classes including cryptocurrencies, equities, ETFs, indices, commodities, and forex using asset-specific structural profiles and automatic higher-timeframe routing.
Rather than producing buy or sell signals, it provides a structural framework for evaluating opportunity, fair value, accumulation, and potential exhaustion.
Features
Multi-asset structural profiles
Automatic higher-timeframe routing (TradFi & Crypto)
Structural Power Law spine
Long-term structural moving average
Adaptive terrain bands
Market cycle positioning
Structural zone classification
Structural confidence scoring
Clean structural dashboard
Supported Markets
The Structural Terrain Engine is designed to analyze a wide range of markets, including:
Bitcoin
Cryptocurrencies
Stocks
ETFs
Market Indices
Commodities
Forex
Each asset class can use its own structural profile while the indicator automatically adapts its higher-timeframe context for continuous (crypto) and session-based (traditional) markets.
Terrain Zones...The terrain is divided into six structural regions.
Generational Opportunity...Historically represents periods of extreme structural undervaluation.
Deep Opportunity...Price remains significantly below structural value while long-term risk has historically been reduced.
Accumulation...Price begins transitioning back toward structural equilibrium.
Fair Value...Price is trading near its expected long-term structural path.
Extended...Price is becoming increasingly stretched above structural value.
Campaign Exhaustion...Historically associated with elevated structural risk and mature market cycles.
Dashboard Metrics
Market State...Summarizes the current structural zone together with the model's confidence.
Example: Deep Opportunity - Moderate Confidence
Price vs Spine: Shows where price is relative to the selected structural spine.
1.00× = Price is exactly on the structural model.
Above 1.00× = Price is trading above structure.
Below 1.00× = Price is trading below structure.
Distance to Spine: Displays the absolute price difference between the current market price and the structural spine.
Cycle Position: Normalizes price into a 0–100 structural cycle score.
Lower values generally represent deeper structural opportunity.
Higher values indicate progressively later-cycle conditions.
Current Zone: Displays the terrain region price currently occupies.
Model Alignment: Measures how closely the structural models agree with one another.
Higher values indicate stronger agreement between the independent structural models.
Signal Confidence: Represents the overall confidence of the structural assessment.
Higher confidence suggests stronger structural evidence supporting the current terrain classification.
Structural Growth: Shows how quickly the structural spine is advancing over time.
Positive values indicate structural expansion.
Timeframe Routing: The indicator automatically selects a higher-timeframe context based on the current chart.
Chart Context
15m 1H
30m 2H
1H 4H
3H 6H
6H 1D (TradFi) / 12H (Crypto)
12H 2D
1D 3D
3D 1W
1W 2W
2W 1M
Manual timeframe selection is also available.
Inputs
Structural Model
Asset Profile
Select the structural profile best suited for the instrument.
Examples include:
Bitcoin
Crypto
Equities
Commodities
Custom
Structural Spine
Choose which structural model is used as the primary reference.
Available options include:
Structural
Power Law
Context
Timeframe Routing
Choose how the higher-timeframe context is selected.
Options: Profile Default, Auto TradFi, Auto Crypto, Manual, Manual Higher Timeframe...Overrides automatic timeframe routing.
Terrain: Show Terrain Bands...Displays the structural valuation bands.
Show Structural Moving Average: Displays the higher-timeframe structural moving average.
Show Power Law: Displays the structural Power Law spine.
Show Zone Labels: Displays terrain zone labels beside the chart.
Zone Label Offset: Moves zone labels closer to or farther from price.
Zone Label Size: Adjusts the size of terrain labels.
Blending: Adjust how different structural models contribute to the final structural spine.
A reserved external-model weighting is included for future integration of additional verified structural models.
Who Is This For?
The Structural Terrain Engine is intended for investors and traders who want to understand where price sits within a larger structural cycle, rather than relying solely on short-term indicators. It can be used as a standalone market framework or alongside existing technical analysis for timing, confirmation, and risk management.
How to Use: The indicator is designed for structural analysis—not short-term trading signals.
Many traders use it to:
Identify long-term accumulation areas.
Gauge whether price is historically extended.
Monitor structural trend health.
Add higher-timeframe context to lower-timeframe decisions.
Evaluate market cycle progression.
Compare multiple asset classes using a consistent structural framework.
The terrain should be interpreted as a probabilistic framework rather than a prediction engine.
Notes
Confirmed higher-timeframe calculations do not repaint.
Structural models are intended for long-term market analysis.
Automatic timeframe routing adapts differently for traditional markets and 24/7 crypto markets.
The indicator is designed to provide structural context and should be used alongside sound risk management and additional market analysis.
Versionshinweise
MFx Structural Terrain Engine v2Community Contributions
Special thanks to Madcat from the InvestAnswers Discord Community for helping evolve the Structural Terrain Engine.
Madcat's Contributions
Madcat focused on improving the user interface and structural presentation of the indicator by:
Redesigning the dashboard into a cleaner, more organized layout.
Introducing the 9 EMA / 20 EMA trend ribbon (blue/orange) for short-term trend context.
Adding Regime Description to classify the current macro environment:
Macro Value Zone
Fair Value / Neutral
Macro Expansion
Cycle Overextended
Introducing Model Alignment to compare the Power Law model with the 200-Week Moving Average.
Adding Signal Confidence as a structural confidence metric.
Adding Structural Growth to monitor whether the long-term fair-value baseline is rising or contracting.
Improving the overall dashboard organization, making key structural information much easier to scan.
These additions transformed the indicator from primarily a valuation model into a more comprehensive structural dashboard.
Subsequent Refinements
Building on Madcat's excellent UI foundation, the dashboard was further refined to improve readability for newer investors and non-technical users.
Improvements include:
Replaced technical jargon with plain-English descriptions.
Made it immediately obvious which structural models are being compared by displaying:
Power Law estimate
200-Week Moving Average estimate
Replaced abstract percentages with explanatory text.
Instead of:
Model Alignment
28.4% (Wide Model Split)
the dashboard now communicates:
Power Law: $121k
200W MA: $63k
Models estimate different fair values.
Likewise: Instead of
Signal Confidence
49.9% (Low Reliability)
the dashboard now explains:
Zone boundaries are approximate. And instead of simply displaying a percentage for structural growth, it explains the implication:
Fair value is rising.
The objective of these refinements was not to change the underlying mathematics, but to translate the analytics into language that someone unfamiliar with quantitative models can understand in seconds.
thanks to Madcat for improving the architecture and introducing the analytics.
Madcat deserves credit for improving the communication layer taking quantitative outputs and making them intuitive without changing the underlying models.
That's exactly how good open-source projects evolve: one contributor strengthens the engine, another strengthens the user experience.
Versionshinweise
MFx Structural Terrain Engine v2Community Contribution — MadCat (InvestAnswers Community)
This update expands the Power Law research framework based on a suggestion from MadCat.
Previously, the Bitcoin Genesis date was hardcoded into the script, making the Power Law model Bitcoin-specific.
This update introduces a configurable Power Law Anchor Date, allowing researchers to apply the same structural framework to assets with different starting points (such as IPO dates or network launch dates) without modifying the source code.
This improvement provides significantly greater research flexibility while preserving the default Bitcoin implementation.
Key enhancements:
Added configurable Power Law Anchor Date input.
Expanded support for Custom Research workflows.
Asset Profile selection now provides a clearer research framework for Bitcoin, Crypto, Equities, Commodities, and custom studies.
Bitcoin users retain the original Genesis-date model by default.
Special thanks to MadCat for identifying this limitation and proposing a simple, elegant solution that makes the Structural Terrain Engine more flexible for broader market research while maintaining Bitcoin as the reference implementation.
Research Note: A Power Law is built from three ingredients:
• Starting Date — When do we start counting? (e.g., Bitcoin's Genesis Block or a company's IPO)
• Starting Level (A) — Where does the curve begin? Think of this as the curve's starting height.
• Growth Rate (B) — How quickly does the curve grow over time? A larger value produces a steeper long-term growth path.
These three parameters are unique to each asset. Simply changing the starting date does not create a valid Power Law for another asset. For research outside of Bitcoin, the Starting Date, A, and B should all be calibrated to that asset's historical data.
Open-source Skript
Ganz im Sinne von TradingView hat dieser Autor sein/ihr Script als Open-Source veröffentlicht. Auf diese Weise können nun auch andere Trader das Script rezensieren und die Funktionalität überprüfen. Vielen Dank an den Autor! Sie können das Script kostenlos verwenden, aber eine Wiederveröffentlichung des Codes unterliegt unseren Hausregeln.
Haftungsausschluss
Die Informationen und Veröffentlichungen sind nicht als Finanz-, Anlage-, Handels- oder andere Arten von Ratschlägen oder Empfehlungen gedacht, die von TradingView bereitgestellt oder gebilligt werden, und stellen diese nicht dar. Lesen Sie mehr in den Nutzungsbedingungen.
Open-source Skript
Ganz im Sinne von TradingView hat dieser Autor sein/ihr Script als Open-Source veröffentlicht. Auf diese Weise können nun auch andere Trader das Script rezensieren und die Funktionalität überprüfen. Vielen Dank an den Autor! Sie können das Script kostenlos verwenden, aber eine Wiederveröffentlichung des Codes unterliegt unseren Hausregeln.
Haftungsausschluss
Die Informationen und Veröffentlichungen sind nicht als Finanz-, Anlage-, Handels- oder andere Arten von Ratschlägen oder Empfehlungen gedacht, die von TradingView bereitgestellt oder gebilligt werden, und stellen diese nicht dar. Lesen Sie mehr in den Nutzungsbedingungen.