OPEN-SOURCE SCRIPT
Cartograph Bands [JOAT]
Cartograph Bands [JOAT]
Introduction
Cartograph Bands is an open-source price-space mapping overlay that translates internal momentum and regime pressure into adaptive bands around price. Instead of displaying momentum in a separate pane and forcing the user to mentally translate it back into price context, the script projects a composite regime score directly into layered price envelopes.
The problem Cartograph Bands solves is disconnected interpretation. Oscillators can show strength or weakness, but they often fail to communicate where that state matters on the chart. Cartograph Bands closes that gap by converting internal regime intensity into inner, outer, and far price-space bands, then combining that with multi-timeframe confirmation and volatility-state transitions.
Core Concepts
1. Composite Momentum Engine
The script blends several internal measurements including RSI, CMO, ROC normalization, and slope behavior to create a bounded momentum/regime score. This reduces reliance on any single oscillator.
2. Price-Space Mapping
That composite score is mapped into adaptive offsets around price using ATR and standard deviation inputs. The result is a set of bands that express regime intensity as chart structure rather than as a separate panel line.
3. Layered Band Geometry
Three band families are used:
4. Non-Repainting Higher Timeframe Confirmation
Confirmed higher-timeframe values are requested using offset expressions and lookahead handling intended to avoid future leakage on historical bars.
5. Compression and Expansion State Tracking
Cartograph Bands also classifies whether the current market state is compressing or expanding, which gives context to outer-band tests and re-entry events.
Features
How to Use This Indicator
Step 1: Read the Band State
Price inside the inner structure implies local balance. Sustained travel into outer and far layers implies stronger directional pressure.
Step 2: Check the Dashboard
Use the dashboard to confirm whether the chart-timeframe state aligns with higher-timeframe conditions.
Step 3: Watch Re-entry Behavior
Re-entry from outside the outer band can highlight exhaustion or failed extension, especially when expansion begins to fade.
Step 4: Use Compression and Expansion as Context
A compression state reduces the importance of directional interpretation. Expansion after compression matters more than random outer-band wandering.
Indicator Limitations
Originality Statement
Cartograph Bands is original in the way it blends multiple internal regime measurements and projects them into layered price-space geometry. Its value is not just an oscillator or just bands, but the interaction between regime scoring, mapped offsets, MTF confirmation, and state transitions.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. All mapped bands are analytical references derived from historical price behavior and should be used with sound judgment and risk management.
- Made with passion by jackofalltrades
Introduction
Cartograph Bands is an open-source price-space mapping overlay that translates internal momentum and regime pressure into adaptive bands around price. Instead of displaying momentum in a separate pane and forcing the user to mentally translate it back into price context, the script projects a composite regime score directly into layered price envelopes.
The problem Cartograph Bands solves is disconnected interpretation. Oscillators can show strength or weakness, but they often fail to communicate where that state matters on the chart. Cartograph Bands closes that gap by converting internal regime intensity into inner, outer, and far price-space bands, then combining that with multi-timeframe confirmation and volatility-state transitions.
Core Concepts
1. Composite Momentum Engine
The script blends several internal measurements including RSI, CMO, ROC normalization, and slope behavior to create a bounded momentum/regime score. This reduces reliance on any single oscillator.
2. Price-Space Mapping
That composite score is mapped into adaptive offsets around price using ATR and standard deviation inputs. The result is a set of bands that express regime intensity as chart structure rather than as a separate panel line.
3. Layered Band Geometry
Three band families are used:
- Inner bands for local equilibrium
- Outer bands for state extension
- Far bands for exceptional displacement
4. Non-Repainting Higher Timeframe Confirmation
Confirmed higher-timeframe values are requested using offset expressions and lookahead handling intended to avoid future leakage on historical bars.
5. Compression and Expansion State Tracking
Cartograph Bands also classifies whether the current market state is compressing or expanding, which gives context to outer-band tests and re-entry events.
Features
- Composite momentum model: Multiple internal regime factors instead of one oscillator
- Mapped price-space bands: Regime intensity projected directly onto chart structure
- Inner, outer, and far layers: Different depths of price displacement
- MTF confirmation dashboard: Top-right summary with higher-timeframe agreement context
- Compression and expansion tracking: Identifies volatility-state transitions
- Outer-band re-entry events: Useful for exhaustion or reacquisition studies
- State candle tinting: Visual context without heavy marker clutter
- Gradient cloud system: Layered institutional-style fills
- Confirmed-signal mode: Optional bar-close confirmation behavior
- Alertconditions: Regime flips, re-entry, expansion, compression, and MTF conflict
How to Use This Indicator
Step 1: Read the Band State
Price inside the inner structure implies local balance. Sustained travel into outer and far layers implies stronger directional pressure.
Step 2: Check the Dashboard
Use the dashboard to confirm whether the chart-timeframe state aligns with higher-timeframe conditions.
Step 3: Watch Re-entry Behavior
Re-entry from outside the outer band can highlight exhaustion or failed extension, especially when expansion begins to fade.
Step 4: Use Compression and Expansion as Context
A compression state reduces the importance of directional interpretation. Expansion after compression matters more than random outer-band wandering.
Indicator Limitations
- The mapping is adaptive, so band distance changes with symbol volatility
- Higher-timeframe context is intentionally confirmed and may feel slower than live-developing HTF tools
- Band interaction alone should not be treated as a complete trade system
- The script maps internal regime state into price context, but it does not forecast exact reversal points
Originality Statement
Cartograph Bands is original in the way it blends multiple internal regime measurements and projects them into layered price-space geometry. Its value is not just an oscillator or just bands, but the interaction between regime scoring, mapped offsets, MTF confirmation, and state transitions.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. All mapped bands are analytical references derived from historical price behavior and should be used with sound judgment and risk management.
- Made with passion by jackofalltrades
开源脚本
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免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。
开源脚本
秉承TradingView的精神，该脚本的作者将其开源，以便交易者可以查看和验证其功能。向作者致敬！您可以免费使用该脚本，但请记住，重新发布代码须遵守我们的网站规则。
The AI Trading Ecosystem, Built to win trades 📈
Get Full Access 👇
jackofalltrades.vip 🌐
t.me/jackofalltradesvip 🃏
Get Full Access 👇
jackofalltrades.vip 🌐
t.me/jackofalltradesvip 🃏
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。