OPEN-SOURCE SCRIPT
Adaptive Market Commitment & Failure Engine
OVERVIEW
Adaptive Market Commitment & Failure Engine is a state-based market analysis framework designed to evaluate whether directional price behavior is developing into persistent commitment or beginning to lose internal efficiency.
Instead of treating individual momentum, volatility, volume, or displacement readings as standalone signals, the engine evaluates how multiple forms of market evidence interact through a structured lifecycle.
The central analytical question is:
Is directional movement being supported by persistent market commitment, or is the move beginning to consume effort without producing proportional structural progress?
CORE METHODOLOGY
The engine organizes market behavior through the following analytical sequence:
Impulse Initiation → Commitment Build → Evidence Agreement → Sustained State → Stress → Release / Failure → Residual Memory
Its assessment is built around four primary evidence dimensions:
Effort
Evaluates normalized range expansion, body participation, directional pressure, wick behavior, and relative participation where volume data is available.
Result
Evaluates displacement efficiency, closing behavior, follow-through, and structural progress produced by the observed effort.
Commitment
Measures persistent agreement between effort and result across multiple analytical horizons. Commitment is treated as a developing market state rather than a single-bar measurement.
Stress
Identifies deterioration inside an existing commitment episode when effort remains meaningful while result, follow-through, or structural progress begins to weaken.
Stress is an OHLCV-derived behavioral classification and should not be interpreted as direct order-flow absorption.
COMMITMENT LIFECYCLE
Directional episodes progress through a confirmed state framework:
DORMANT → EMERGING → CONFIRMED → ESTABLISHED → MATURE → STRESSED → RELEASED / FAILED
Developing evidence and confirmed states are intentionally separated.
State transitions are evaluated on confirmed bars, while separate entry, persistence, and release conditions help reduce rapid state switching around classification boundaries.
Released does not automatically mean reversal.
Failed and Released represent different lifecycle outcomes and should be interpreted within surrounding market structure.
EFFORT–RESULT CONTEXT
The engine also interprets the relationship between observed effort and resulting price progress.
Typical environments can include:
High Effort + Strong Result — committed expansion
High Effort + Weak Result — stress or reduced efficiency
Low Effort + Strong Result — efficient or thin expansion
Low Effort + Weak Result — limited commitment
These classifications describe observed market behavior. They are not trade signals or forecasts.
COMMITMENT CORRIDORS
The primary visual structure is the Commitment Corridor.
Corridors represent spatial areas associated with qualified commitment episodes and can evolve through stages such as:
Created → Developing → Reinforced → Mature → Tested → Weakened → Failed → Decayed
Visual intensity reflects the current relevance of the underlying episode, while older or weakened structures are progressively subdued to maintain chart readability.
STRUCTURAL MEMORY
Qualified commitment episodes can leave residual structural memory after their active lifecycle ends.
When price later interacts with these areas, the engine can evaluate whether the surviving structure remains relevant, becomes reinforced, weakens, or eventually loses significance.
The number of retained structures is intentionally bounded to prevent unlimited historical objects from accumulating on the chart.
DASHBOARD
The dashboard provides a compact summary of the engine's current assessment:
STATE — current lifecycle classification
DIRECTION — directional orientation of the active evidence
COMMITMENT — persistence and agreement of directional evidence
EFFORT — current behavioral effort classification
RESULT — efficiency of resulting price progress
MATURITY — development stage of the current episode
STRESS — internal deterioration assessment
MEMORY — number of retained active structural memories
HOW TO USE
The engine is designed primarily as a contextual analysis tool.
It can be used to study:
Whether a directional move is still developing or has achieved persistent commitment
Whether an established episode is strengthening, maturing, or deteriorating
Whether observed effort is producing proportional price progress
How previously resolved commitment episodes remain relevant when price revisits their locations
The classifications are most useful when interpreted together with broader price structure and the user's own analytical framework.
CONFIRMATION AND LIMITATIONS
Lifecycle transitions are evaluated using confirmed-bar information.
The engine operates from chart-derived price and available volume data. It does not have access to exchange order books, hidden liquidity, institutional positioning, or other information unavailable in the chart data feed.
Volume characteristics can also differ between instruments and data providers.
Commitment, Effort, Result, Stress, Maturity, and Memory are analytical classifications derived from observed market behavior. They are not probabilities, order-flow measurements, guarantees, trading signals, or forecasts of future performance.
No single state should be interpreted as an instruction to enter or exit a position.
ORIGINALITY
Adaptive Market Commitment & Failure Engine is an independently developed state-based framework designed around the lifecycle of directional market commitment.
Its primary purpose is not simply to measure momentum, effort, or price response independently. Instead, it evaluates whether directional evidence develops into a persistent episode, how that episode matures or comes under stress, how it resolves, and what structural context can remain afterward.
The combination of confirmed lifecycle classification, multi-horizon evidence agreement, commitment corridors, episode maturity, stress assessment, and bounded residual structural memory forms the core analytical framework of the indicator.
Release Notes — v1.0
Initial release
Introduces:
Multi-horizon commitment assessment
Effort and result classification
Confirmed commitment lifecycle
Emerging, Confirmed, Established, Mature, Stressed, Released and Failed states
Commitment Corridor visualization
Episode maturity tracking
Internal stress assessment
Residual structural memory
Controlled memory decay and retirement
Compact market-state dashboard
Confirmed-bar lifecycle transitions
Configurable lifecycle and visual controls
Adaptive Market Commitment & Failure Engine is a state-based market analysis framework designed to evaluate whether directional price behavior is developing into persistent commitment or beginning to lose internal efficiency.
Instead of treating individual momentum, volatility, volume, or displacement readings as standalone signals, the engine evaluates how multiple forms of market evidence interact through a structured lifecycle.
The central analytical question is:
Is directional movement being supported by persistent market commitment, or is the move beginning to consume effort without producing proportional structural progress?
CORE METHODOLOGY
The engine organizes market behavior through the following analytical sequence:
Impulse Initiation → Commitment Build → Evidence Agreement → Sustained State → Stress → Release / Failure → Residual Memory
Its assessment is built around four primary evidence dimensions:
Effort
Evaluates normalized range expansion, body participation, directional pressure, wick behavior, and relative participation where volume data is available.
Result
Evaluates displacement efficiency, closing behavior, follow-through, and structural progress produced by the observed effort.
Commitment
Measures persistent agreement between effort and result across multiple analytical horizons. Commitment is treated as a developing market state rather than a single-bar measurement.
Stress
Identifies deterioration inside an existing commitment episode when effort remains meaningful while result, follow-through, or structural progress begins to weaken.
Stress is an OHLCV-derived behavioral classification and should not be interpreted as direct order-flow absorption.
COMMITMENT LIFECYCLE
Directional episodes progress through a confirmed state framework:
DORMANT → EMERGING → CONFIRMED → ESTABLISHED → MATURE → STRESSED → RELEASED / FAILED
Developing evidence and confirmed states are intentionally separated.
State transitions are evaluated on confirmed bars, while separate entry, persistence, and release conditions help reduce rapid state switching around classification boundaries.
Released does not automatically mean reversal.
Failed and Released represent different lifecycle outcomes and should be interpreted within surrounding market structure.
EFFORT–RESULT CONTEXT
The engine also interprets the relationship between observed effort and resulting price progress.
Typical environments can include:
High Effort + Strong Result — committed expansion
High Effort + Weak Result — stress or reduced efficiency
Low Effort + Strong Result — efficient or thin expansion
Low Effort + Weak Result — limited commitment
These classifications describe observed market behavior. They are not trade signals or forecasts.
COMMITMENT CORRIDORS
The primary visual structure is the Commitment Corridor.
Corridors represent spatial areas associated with qualified commitment episodes and can evolve through stages such as:
Created → Developing → Reinforced → Mature → Tested → Weakened → Failed → Decayed
Visual intensity reflects the current relevance of the underlying episode, while older or weakened structures are progressively subdued to maintain chart readability.
STRUCTURAL MEMORY
Qualified commitment episodes can leave residual structural memory after their active lifecycle ends.
When price later interacts with these areas, the engine can evaluate whether the surviving structure remains relevant, becomes reinforced, weakens, or eventually loses significance.
The number of retained structures is intentionally bounded to prevent unlimited historical objects from accumulating on the chart.
DASHBOARD
The dashboard provides a compact summary of the engine's current assessment:
STATE — current lifecycle classification
DIRECTION — directional orientation of the active evidence
COMMITMENT — persistence and agreement of directional evidence
EFFORT — current behavioral effort classification
RESULT — efficiency of resulting price progress
MATURITY — development stage of the current episode
STRESS — internal deterioration assessment
MEMORY — number of retained active structural memories
HOW TO USE
The engine is designed primarily as a contextual analysis tool.
It can be used to study:
Whether a directional move is still developing or has achieved persistent commitment
Whether an established episode is strengthening, maturing, or deteriorating
Whether observed effort is producing proportional price progress
How previously resolved commitment episodes remain relevant when price revisits their locations
The classifications are most useful when interpreted together with broader price structure and the user's own analytical framework.
CONFIRMATION AND LIMITATIONS
Lifecycle transitions are evaluated using confirmed-bar information.
The engine operates from chart-derived price and available volume data. It does not have access to exchange order books, hidden liquidity, institutional positioning, or other information unavailable in the chart data feed.
Volume characteristics can also differ between instruments and data providers.
Commitment, Effort, Result, Stress, Maturity, and Memory are analytical classifications derived from observed market behavior. They are not probabilities, order-flow measurements, guarantees, trading signals, or forecasts of future performance.
No single state should be interpreted as an instruction to enter or exit a position.
ORIGINALITY
Adaptive Market Commitment & Failure Engine is an independently developed state-based framework designed around the lifecycle of directional market commitment.
Its primary purpose is not simply to measure momentum, effort, or price response independently. Instead, it evaluates whether directional evidence develops into a persistent episode, how that episode matures or comes under stress, how it resolves, and what structural context can remain afterward.
The combination of confirmed lifecycle classification, multi-horizon evidence agreement, commitment corridors, episode maturity, stress assessment, and bounded residual structural memory forms the core analytical framework of the indicator.
Release Notes — v1.0
Initial release
Introduces:
Multi-horizon commitment assessment
Effort and result classification
Confirmed commitment lifecycle
Emerging, Confirmed, Established, Mature, Stressed, Released and Failed states
Commitment Corridor visualization
Episode maturity tracking
Internal stress assessment
Residual structural memory
Controlled memory decay and retirement
Compact market-state dashboard
Confirmed-bar lifecycle transitions
Configurable lifecycle and visual controls
オープンソーススクリプト
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Get exclusive analysis and trade setups on my Telegram channel: t.me/+ljltWsU9ex01YTQ0
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これらの情報および投稿は、TradingViewが提供または承認する金融、投資、取引、またはその他の種類の助言もしくは推奨であることを意図したものではなく、またこれらに該当するものでもありません。詳細は利用規約をご覧ください。
オープンソーススクリプト
TradingViewの精神に則り、このスクリプトの作者はコードをオープンソースとして公開してくれました。トレーダーが内容を確認・検証できるようにという配慮です。作者に拍手を送りましょう！無料で利用できますが、コードの再公開はハウスルールに従う必要があります。
Get exclusive analysis and trade setups on my Telegram channel: t.me/+ljltWsU9ex01YTQ0
免責事項
これらの情報および投稿は、TradingViewが提供または承認する金融、投資、取引、またはその他の種類の助言もしくは推奨であることを意図したものではなく、またこれらに該当するものでもありません。詳細は利用規約をご覧ください。