Macro Risk Proxy Switchboard [AGPro Series]Macro Risk Proxy Switchboard
🧠 Core Idea
Are macro risk proxies supporting risk appetite, warning of defense, or sending a mixed signal?
📌 Overview / What it does
Macro Risk Proxy Switchboard is a macro context tool that compares multiple external risk proxies and converts them into a clean risk-on / risk-off switchboard.
The script uses configurable proxy symbols such as dollar pressure, yield pressure, volatility pressure, and credit appetite. It normalizes their recent movement, evaluates agreement, detects shock or divergence behavior, and displays the current macro regime directly on the chart.
It produces a macro risk rail, compact alignment labels, right-side regime tags, and a structured AG Pro panel. It does not predict price direction, automate decisions, or claim that macro proxies must control the chart.
🎯 Purpose & Design Philosophy
This script was built to solve a common context problem: traders often watch several macro proxies, but the information is scattered across different charts.
Macro Risk Proxy Switchboard compresses that context into one visual layer. It helps traders understand whether external risk conditions are supportive, defensive, mixed, or shocked.
The mindset is simple: price action matters first, but macro pressure can change the quality of breakouts, pullbacks, risk appetite, and continuation attempts.
⚡ Why This Script Is Different
Most tools focus only on the charted symbol.
This script does NOT treat macro data as a prediction engine.
Instead, it reads a configurable basket of risk proxies and asks whether those proxies agree, diverge, or create an external pressure warning.
The result is not a buy or sell signal. It is a compact macro context layer designed to improve situational awareness.
⚙️ Methodology
1. Proxy Selection
The script reads four configurable proxies: dollar pressure, yield pressure, volatility pressure, and credit appetite.
2. Proxy Normalization
Each proxy is measured by recent momentum and normalized against its own historical behavior so the readings can be compared.
3. Composite Evaluation
The script combines proxy pressure into a composite risk score and measures how many proxies agree with the current regime.
4. Visual Output
The output is displayed through a macro risk rail, event labels, right-side regime tags, and a clean AG Pro panel.
🗺️ How to Read the Chart
The macro rail represents the current external risk context.
Labels show important macro events such as risk-on alignment, risk-off alignment, proxy shock, or macro divergence.
Colors separate supportive, defensive, neutral, and shock-style behavior.
The panel shows macro regime, risk direction, composite pressure, agreement count, dominant proxy, individual proxy pressure, credit pressure, quality score, and next context.
🚦 Signals & States
• RISK-ON ALIGN → macro proxies are broadly supportive of risk appetite
• RISK-OFF ALIGN → macro proxies are broadly defensive or risk restrictive
• MIXED PROXIES → proxy agreement is weak or divided
• PROXY SHOCK → at least one proxy shows unusually strong pressure
• NEUTRAL BOARD → no clear macro tilt is active
🔔 Alerts Logic
Alerts trigger when the script detects risk-on alignment, risk-off alignment, proxy shock, or macro proxy divergence.
These alerts are attention markers only. They highlight a change in macro context, not a trading instruction.
🧩 Confluence Logic
The strongest macro context appears when multiple proxies point in the same direction and the composite score is strong.
When price structure, market trend, and macro proxy alignment agree, the context becomes more coherent.
When price action and macro pressure disagree, the chart should be interpreted with more caution.
📊 When to Use
• Crypto risk-on / risk-off evaluation
• Equity index context
• Breakout quality review
• Pullback environment analysis
• Volatility expansion periods
• Comparing price behavior against external macro pressure
⚠️ When NOT to Use
• When proxy symbols are unavailable on the selected PulseWire data plan
• During market holidays where proxy data may be stale
• On very low-liquidity symbols where local behavior dominates
• When using macro context as a standalone trade trigger
• When ignoring the chart’s own structure, liquidity, and volatility
🎛️ Key Inputs
• Dollar Pressure Proxy → default DXY-style risk pressure input
• Yield Pressure Proxy → default 10-year yield-style pressure input
• Volatility Proxy → default VIX-style defensive pressure input
• Credit Appetite Proxy → default HYG-style risk appetite input
• Proxy Momentum Length → controls how recent proxy movement is measured
• Proxy Rank Length → controls normalization stability
• Agreement Threshold → controls how strict risk-on/risk-off classification is
• Visual settings → control panel, rail, labels, and readability
🖥️ Interface & Visual Design
The interface is designed as a switchboard, not a traditional oscillator.
The panel carries the macro logic, while the chart displays only the most important regime rail and event labels.
This keeps the chart clean while still giving the viewer a premium first-glance macro context.
🧪 Practical Usage Workflow
1. Read the panel macro regime
2. Check risk direction and composite score
3. Review agreement count and dominant proxy
4. Compare macro rail with current price structure
5. Treat divergence or proxy shock as context requiring extra caution
🔍 Interpretation Guidelines
A risk-on reading does not guarantee upside.
A risk-off reading does not guarantee downside.
A proxy shock means external pressure is elevated and should be reviewed.
A mixed board means macro proxies are not giving a clean message.
The best use is to combine this switchboard with price action, structure, volatility, liquidity, and timeframe context.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed buy or sell signals.
It does not claim that macro proxies always lead price.
⚠️ Limitations & Transparency
Proxy symbols may behave differently across asset classes.
Some symbols may have delayed or unavailable data depending on the user’s PulseWire access.
Macro relationships can change over time.
Short-term price action can diverge from macro context for long periods.
Users should always interpret the switchboard within broader market conditions.
🧠 Market Context Notes
Macro context is most useful when it helps explain the quality of risk appetite.
Dollar pressure, yield pressure, volatility pressure, and credit appetite can all influence how traders interpret continuation, rejection, and acceptance behavior.
The script is built to simplify that context, not to replace the chart.
🧾 Use Case Examples
When price attempts a breakout while the switchboard shows risk-on alignment, the trader can evaluate whether external conditions support the move.
When price is holding support but the switchboard prints proxy shock, the trader can watch for defensive pressure.
When price trends strongly while macro proxies remain mixed, the trader can treat the move as less confirmed by external context.
🧱 System Philosophy
Macro Risk Proxy Switchboard follows the AGPro Series philosophy: clean decision-support tools that turn complex market context into readable, premium visual structure.
The script focuses on interpretation quality, not prediction claims.
🔐 Non-Promise Statement
No proxy basket can know the future.
No macro signal guarantees price direction.
This tool provides structured context only.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly.
All decisions remain the responsibility of the user.
This script does not provide financial advice or guaranteed trading outcomes.
📚 Educational Note
Use this script as an educational and analytical companion for studying macro pressure, risk appetite, defensive conditions, and cross-market context.
Indicator
Crypto Market Breadth Risk Planner [AGPro Series]Crypto Market Breadth Risk Planner
🧠 Core Idea
Is the crypto market showing broad risk-on participation, weakening rotation, or a risk-off breadth environment?
📌 Overview / What it does
Crypto Market Breadth Risk Planner is a chart-first market breadth tool built to evaluate whether a selected crypto basket is participating broadly or weakening internally.
Instead of reading only the active chart symbol, the script reviews a configurable basket of major crypto pairs. It measures how many symbols are trading above their trend baseline, how many have positive momentum, how many have rising trend structure, and how much volatility stress is present across the basket.
The script produces a 0-100 Breadth Risk Score, a colored breadth risk corridor on the active chart, event labels, right-side tags, alerts, and a compact AG Pro panel. It does not predict price direction, automate execution, or claim that breadth alone is enough to trade.
🎯 Purpose & Design Philosophy
This script was built because single-chart analysis can look strong while the broader crypto market is quietly weakening, or look weak while breadth is beginning to rotate back into strength.
The purpose is to help traders read market participation before treating an individual setup as clean. Strong setups usually have a better context when the broader basket is aligned, while weaker breadth can warn that a chart may be more exposed to false follow-through.
The design supports traders who want broader market context without opening ten charts manually. It turns cross-market participation into a simple decision-support layer that can be read directly on the current chart.
⚡ Why This Script Is Different
Most crypto tools focus on the active symbol, a single benchmark, a simple correlation reading, or a raw relative-strength line.
This script does NOT act as a benchmark correlation meter, a relative-strength rotation map, a volume spike detector, or a generic trend dashboard.
Instead, it evaluates breadth across a user-defined crypto basket and converts that participation into a risk-readiness framework. The goal is not to say which coin to buy or sell. The goal is to show whether the broader crypto environment is supportive, mixed, stressed, or risk-off.
⚙️ Methodology
1. Context Detection
The script requests data from a configurable crypto basket and evaluates each symbol on the selected breadth timeframe.
2. Reference Mapping
Each symbol is compared against its own trend baseline, momentum reading, trend slope, and ATR-based volatility stress condition.
3. Reaction Evaluation
The script combines trend participation, momentum participation, slope confirmation, and volatility stress into a single Breadth Risk Score.
4. Visual Output
The final output includes a colored breadth risk corridor, centered corridor text, event labels, right-side tags, optional bar coloring, alerts, and an AG Pro panel.
🗺️ How to Read the Chart
Zones:
The breadth risk corridor is a visual context zone around price. Its color reflects the current breadth regime rather than a direct support or resistance level.
Labels:
Labels mark important breadth state transitions such as Risk-On, Rotation Watch, Risk-Off, Stress Review, and Cooling.
Colors:
Teal represents broad constructive participation.
Pink represents risk-off breadth or weak participation.
Gold represents stress or caution.
Indigo represents improving rotation or transitional breadth.
Panel:
The panel summarizes breadth participation, Breadth Risk Score, momentum, stress, regime, and action state.
🚦 Signals & States
• Risk-On Ready → Broad participation and momentum are strong enough to support risk-on review.
• Rotation Watch → Breadth is improving, but not yet strong enough for full risk-on classification.
• Stress Review → Volatility stress is elevated while breadth quality remains weak.
• Risk-Off → Basket participation is weak or deteriorating.
• Cooling → Stress is easing while breadth quality begins to improve.
• Wait Breadth → No strong breadth regime is currently active.
🔔 Alerts Logic
Alerts can trigger when the basket shifts into Risk-On, Rotation Watch, Risk-Off, Stress Review, or Cooling.
Alerts are attention markers only. They highlight changes in the breadth model. They are not trade instructions, automated entries, or guaranteed market calls.
🧩 Confluence Logic
The context becomes stronger when multiple breadth layers align together.
For example, a high Breadth Risk Score with many symbols above their trend baselines, positive momentum participation, rising trend slopes, and low stress suggests a cleaner risk-on environment than a rally led by only one or two symbols.
Likewise, weak participation combined with elevated stress can warn that individual bullish setups may need stricter review.
📊 When to Use
• Crypto market context review
• BTC, ETH, altcoin, and sector-style crypto watchlists
• 1H, 4H, and 1D market participation analysis
• Before treating individual setups as risk-on
• When the trader wants to know whether the broader crypto basket supports the active chart
⚠️ When NOT to Use
• Markets where selected symbols have unreliable data
• Very small or illiquid crypto pairs with distorted candles
• Situations where the basket does not match the user's trading universe
• Low-timeframe scalping where external-symbol breadth may be too slow
• News-driven events where correlation and breadth can change abruptly
🎛️ Key Inputs
• Crypto Basket Symbols → define the assets used in the breadth model
• Breadth Timeframe → controls whether the basket is evaluated on chart timeframe, 1H, 4H, or 1D
• Trend Baseline Length → controls the EMA reference used for participation
• Momentum Length → controls the ROC window used for positive or negative participation
• ATR Stress Threshold → controls when basket volatility begins to count as stress
• Minimum Risk-On Score → controls how selective the risk-on state should be
• Visual Settings → control corridor, labels, right-side tags, panel location, theme, and font size
🖥️ Interface & Visual Design
The interface is designed to make broad crypto participation readable without turning the chart into a large dashboard.
The corridor gives a fast visual state directly on the chart. The panel provides the structured readout. Labels mark only important transitions, while cooldown and memory controls keep historical events from overwhelming the chart.
The visual intent is premium, clean, and publication-friendly.
🧪 Practical Usage Workflow
1. Read the panel to identify the current breadth regime.
2. Check the Breadth Risk Score and participation percentage.
3. Review whether momentum and stress support or conflict with the active chart setup.
4. Use the corridor color as a market-context layer, not as a direct entry zone.
5. Combine breadth context with price structure, volatility, liquidity, and personal risk rules.
🔍 Interpretation Guidelines
A strong score means the selected crypto basket is broadly aligned according to the script's rules.
A Rotation Watch state means breadth is improving, but the market has not fully confirmed broad risk-on participation.
A Stress Review state means volatility pressure is elevated while breadth remains weak or mixed.
A Risk-Off state means the selected basket is not supporting broad participation under the current settings.
🚫 What This Script Is NOT
This script is not a prediction engine.
This script is not financial advice.
This script is not an automated trading system.
This script does not place orders.
This script does not guarantee market direction, continuation, reversal, or profitability.
⚠️ Limitations & Transparency
This script depends on the selected symbols, selected timeframe, and PulseWire data availability.
Different baskets can produce different breadth readings. A BTC-heavy basket may behave differently from an altcoin-heavy basket. External symbol data may also load differently depending on market, exchange, and PulseWire availability.
The script should be interpreted as market context, not as a standalone execution model.
🧠 Market Context Notes
Crypto often moves through participation waves. Sometimes BTC leads while altcoins lag. Sometimes the whole market rotates together. Sometimes volatility rises while breadth deteriorates, creating a more fragile environment.
This script is designed to make that internal participation easier to observe directly from the active chart.
🧾 Use Case Examples
Example 1:
BTC is breaking higher, but the panel shows weak breadth and high stress. The trader may decide that the move needs extra confirmation before treating it as broad risk-on.
Example 2:
ETH is consolidating, but the basket shifts into Rotation Watch with improving momentum. The trader can monitor whether the active chart begins to align with the broader rotation.
Example 3:
The basket prints Risk-Off while an individual altcoin setup looks technically clean. The script warns that the broader market backdrop is not supportive under the current model.
🧱 System Philosophy
AGPro Series tools are built as decision-support frameworks, not signal vending machines.
This script follows that philosophy by turning broad market participation into a structured context layer: define the basket, score the breadth, map the state, and show the next action clearly.
🔐 Non-Promise Statement
This script does not promise certainty.
It does not promise that a risk-on breadth state will produce gains, or that a risk-off state will produce losses. It only organizes participation context so the user can evaluate the broader market with more clarity.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly, and breadth models can fail or become less useful during sudden volatility, exchange-specific moves, or news-driven repricing. Users remain responsible for their own decisions, execution, and risk management.
This script is for educational and analytical purposes only. It does not provide financial advice.
📚 Educational Note
Use this tool to study how crypto breadth changes before, during, and after major market moves.
Its strongest value comes from comparing the active chart with the broader basket context rather than reading any single label in isolation.
Indicator
Liquidity Reaction Market Context FrameworkDescription
Liquidity Reaction – Market Context Framework is a structured visual tool designed to provide traders with clear market context based on session behavior, time-based positioning, and key reference levels.
This script does not aim to generate signals. Instead, it builds a contextual framework that helps traders understand how price evolves across different trading sessions and how liquidity transitions occur throughout the day.
Core Concept
Markets do not move randomly — they evolve through time-based cycles, where each session contributes to liquidity creation, expansion, and rebalancing.
This indicator organizes that behavior into a unified structure, allowing traders to:
Identify where price is within the daily cycle
Understand how sessions interact with each other
Detect where liquidity is likely being formed or consumed
Track how price reacts to prior session ranges and reference levels
Components
1. Sessions (Day, Asia, London, New York)
Each session is represented as a dynamic range (high–low) that evolves in real time.
Purpose:
Define structural ranges
Highlight consolidation and expansion phases
Provide context for intraday positioning
2. Session Close–Open Relationship (Gap)
The script tracks the relationship between the previous reference close and the next session open.
Purpose:
Identify imbalance zones
Highlight potential rebalancing areas
Provide a key reference for intraday reactions
3. Time Zones (Background Context)
Background shading represents key trading windows in New York time.
Purpose:
Provide temporal orientation
Align price action with institutional trading hours
Improve session-based analysis
4. Extended Hours
Marks low-liquidity periods outside primary sessions.
Purpose:
Contextualize reduced participation
Identify transitions between active and inactive markets
5. SMA 200
A long-term moving average included as a structural reference.
Purpose:
Provide directional bias context
Help visualize broader market positioning
Why This Script Is Different
Unlike traditional indicators that focus on signals or isolated calculations, this script is built as a contextual framework.
It integrates multiple time-based elements into a single, coherent structure that reflects how markets actually operate:
Through sessions
Through time
Through liquidity transitions
How to Use
Use sessions to understand where price is developing structure
Observe how price behaves when entering or leaving a session
Use the gap as a reference for imbalance and potential reaction
Align execution with time zones rather than arbitrary signals
Use SMA 200 as a higher-level directional filter
Notes
This indicator is designed to be used directly on the main chart
For proper visualization, place it above in the object tree
Works best on intraday timeframes where session behavior is more relevant
Each component can be enabled or disabled and limited by timeframe
This script is intended for traders who prioritize context over signals, and who want to understand the structure behind price movement, not just its outcome. Indicator
AG Pro Correlation Stress Meter [AGPro Series]AG Pro Correlation Stress Meter
Overview / What it does
AG Pro Correlation Stress Meter is an overlay indicator designed to estimate when an instrument is becoming increasingly synchronized with a selected benchmark and whether that relationship is developing into a higher-stress market condition.
Instead of treating correlation as a standalone number, this script converts multiple correlation-related components into a structured stress framework. The goal is not to predict direction. The goal is to help the user judge whether market behavior is becoming more tightly linked, more fragile, and potentially less independent than usual.
The script combines smoothed rolling correlation, short-term correlation acceleration, persistence of elevated correlation, and a simple fragility layer based on price behavior versus an internal backbone EMA. The result is a normalized stress score and a state model that classifies conditions as Stable, Building, Pressured, Stressed, or Critical.
Because the script is plotted directly on price, it is intended to function as a context layer. It can be used to evaluate whether a chart is trading in a relatively independent manner or whether it is increasingly behaving like a benchmark-driven instrument.
Unique Edge
The main difference in this script is that it does not treat correlation as a single readout. It treats correlation as a pressure structure.
Many correlation tools stop at the raw coefficient. This script goes further by asking four separate questions:
1. How strong is the current relationship?
2. Is that relationship tightening or loosening?
3. Has elevated correlation persisted for long enough to matter?
4. Is price behavior becoming fragile at the same time?
That combination is what makes this script different from many standard overlays, matrix-style correlation displays, or simple coefficient dashboards.
It is also different from several other AG Pro scripts in the catalog. Some AG Pro tools focus on trend quality, pullback quality, squeeze behavior, reclaim structure, momentum pressure, or reaction mapping around known reference levels. This script does not focus on any of those themes. Its job is narrower and more diagnostic: it measures how much benchmark-linked stress is building inside the chart. In other words, it is less about trend or structure classification, and more about whether the instrument is becoming increasingly dependent on external benchmark behavior.
Methodology
The script starts with log returns for both the chart symbol and the selected benchmark symbol. A rolling correlation is then calculated over the chosen correlation window and smoothed to reduce noise.
From there, the model evaluates four components:
1. Correlation strength
This is the normalized level of the smoothed rolling correlation. Higher positive correlation generally contributes more to the final stress score.
2. Correlation velocity
This measures how much the smoothed correlation has changed over a short lookback. A rising relationship can matter even when the absolute coefficient is not yet extreme.
3. Correlation persistence
This evaluates how consistently correlation has remained above a user-defined threshold over a recent window. Short spikes and sustained linkage should not be treated as the same condition, so persistence is included as a separate layer.
4. Fragility layer
This component looks at whether price is trading below the internal backbone EMA, whether short-term rate of change is weak, how stretched price is relative to the EMA, and whether ATR percentage is elevated. The purpose of this layer is not to predict reversals. Its purpose is to distinguish a calm, orderly correlation regime from a more fragile one.
These components are weighted into a composite stress score, then mapped into five states:
- Stable
- Building
- Pressured
- Stressed
- Critical
The script also provides a backdrop layer, optional event labels, a backbone EMA for context, and a compact information panel.
Signals & Alerts
This script is primarily a state-classification and context tool. It is not a direct entry system and should not be interpreted as a standalone buy or sell engine.
Available alert logic includes:
- Stress Building
- Stress Pressured
- Stress Stressed
- Stress Critical
- Stress Cooling
These alerts are designed to notify the user when the internal state model changes. They can be used to monitor regime transitions, benchmark sensitivity changes, or shifts in how tightly a symbol is tracking the selected benchmark.
Practical interpretation examples:
- Building may suggest that correlation-linked influence is starting to develop.
- Pressured may suggest that the relationship is no longer background noise and is becoming relevant to decision-making.
- Stressed may suggest that the symbol is trading with notable benchmark dependency.
- Critical may suggest that benchmark-linked pressure is unusually elevated relative to the script’s internal framework.
- Cooling may suggest that the prior stress state is easing.
These are contextual interpretations, not trade instructions.
Key Inputs
Benchmark Symbol
Selects the reference instrument used for the correlation calculation.
Benchmark Timeframe
Allows the benchmark series to follow the chart timeframe or use a different one.
Correlation Length
Defines the rolling window used for correlation.
Correlation Smoothing
Smooths the raw correlation series.
Velocity Lookback
Controls how quickly changes in correlation are measured.
Persistence Window
Defines how far back the script checks for sustained elevated correlation.
Persistence Threshold
Defines what the script considers “elevated” for persistence purposes.
Fragility EMA Length
Controls the internal backbone EMA used in the fragility layer and optional overlay line.
Fragility ROC Length
Defines the short-term price change measurement inside the fragility model.
ATR Length
Controls the volatility input used in the fragility model.
Label Trigger State
Sets the minimum state required before labels can appear.
Minimum Bars Between Labels
Reduces label clustering.
Background From State
Sets the minimum state required before the stress backdrop is shown.
Label ATR Offset
Controls how far event labels are plotted from price.
Panel / Visual Inputs
Allow control over panel visibility, panel position, panel theme, panel font size, label size, backdrop visibility, backbone visibility, and backbone label visibility.
Limitations & Transparency
This script is a contextual model, not a statement of causality. A high reading does not prove that the benchmark is causing the move. It only indicates that the symbol is trading in a way that is more tightly aligned with the selected benchmark according to the model inputs.
Correlation is also regime-dependent. A symbol may appear highly linked during one period and much less linked during another. Different benchmarks, timeframes, and windows can produce different readings.
The fragility layer is intentionally simple. It is included to refine the stress framework, not to replace full market structure analysis. Users who rely on this script should still examine trend structure, volatility context, liquidity conditions, and the behavior of the benchmark itself.
This script also does not claim to identify tops, bottoms, crashes, breakouts, or future returns. It measures an internal definition of correlation-linked stress and presents that information visually.
Risk Disclosure
This indicator is for analytical and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes.
No indicator can remove market risk. Correlation regimes can change quickly, benchmark relationships can decouple without warning, and any model based on historical data can fail in live conditions.
This tool should be used as one part of a broader chart review process, not as a substitute for independent judgment, risk management, or position sizing discipline. Indicator
Indicator
MarketMind LITEM🜁rketMind LITE ────────────────────
Essential Market Awareness, Reduced to Its Core
M🜁rketMind LITE is a lightweight market awareness tool designed to display essential situational context .
It provides basic orientation and movement awareness without interpretation, risk framing, diagnostics, or decision guidance.
This script is designed as a standalone awareness layer. It does not evaluate trade quality, issue signals, or influence decision-making.
WHAT IT DOES ────────────────────
M🜁rketMind LITE presents a minimal, static view of current market conditions focused entirely on awareness rather than analysis.
The system displays only essential context, allowing traders to stay oriented without introducing judgment, noise, or implied direction.
The script provides visibility into:
Time-of-day session context
Basic market regime classification (trending, range-bound, mixed)
Short-term momentum direction only (up, down, neutral)
A clean, static HUD display
M🜁rketMind LITE also includes a minimal visual state indicator that reflects recent price responsiveness, intended to be observed over time alongside the trader’s own experience.
The goal is to support awareness without influence .
HOW TO USE IT ────────────────────
M🜁rketMind LITE is not a signal generator.
It is designed to remain visible in the background of any chart, offering quiet orientation while traders rely entirely on their own process for analysis and execution.
Common use cases include:
Maintaining session awareness
Preserving context during focused trading periods
Reducing cognitive load while monitoring markets
M🜁rketMind LITE does not evaluate risk, alignment, or opportunity.
It simply shows what is happening.
DESIGN PHILOSOPHY ────────────────────
M🜁rketMind LITE is intentionally minimal.
It includes only essential awareness elements and excludes all interpretive or evaluative logic:
Situational context only
Directional momentum (up / down / neutral)
No diagnostics, confidence, or conviction framing
No process, risk, or quality assessment
Presentation controls only (HUD on/off, size, position)
Nothing is inferred.
Nothing is suggested.
This script shows market state without interpretation.
WHO IT IS FOR ────────────────────
M🜁rketMind LITE is suited for traders who:
Want passive situational awareness
Prefer minimal on-chart information
Already operate with a defined decision process
It is not designed for:
Analytical or diagnostic use
Risk evaluation or context synthesis
Traders seeking guidance or confirmation
IMPORTANT NOTES ────────────────────
M🜁rketMind LITE does not provide financial advice
No system can predict future price behavior
This tool is designed for awareness only
Used appropriately, M🜁rketMind LITE helps traders stay oriented without interference. Indicator
