Indicator
Relative Strength Pullback Map [AGPro Series]Relative Strength Pullback Map
🧠 Core Idea
Is the pullback happening while the asset remains a relative leader against its benchmark?
📌 Overview / What it does
Relative Strength Pullback Map is a benchmark-relative price-action tool built to study whether an asset is pulling back from strength or breaking down into weakness.
The script compares the active symbol against a selected benchmark, builds a relative-strength baseline, evaluates leader status, measures pullback depth, maps a pullback pocket, marks the recovery rail, and summarizes the full context inside a compact AG Pro panel.
It does not predict future price, automate trades, or claim that every leader pullback must recover. It is a structured decision-support map for reading relative strength, benchmark leadership, pullback health, recovery readiness, and relative breakdown risk.
🎯 Purpose & Design Philosophy
Pullbacks are not all equal.
Some pullbacks happen while the asset continues to outperform its benchmark.
Other pullbacks happen because relative strength is already breaking down.
This script was built to separate those two conditions. The design goal is to help traders identify whether a pullback belongs to a still-strong relative leader or a weakening laggard.
⚡ Why This Script Is Different
Most pullback tools focus only on price.
Most relative-strength tools focus only on the ratio line.
This script does NOT treat pullback quality and relative strength as separate ideas.
Instead, it combines benchmark-relative leadership, price pullback depth, trend shelf behavior, recovery rail reclaim, and relative breakdown risk into one visual map.
The focus is not only whether price pulled back.
The focus is whether the asset remained a leader while pulling back.
⚙️ Methodology
1. Benchmark Comparison
The script compares the active symbol against a selected benchmark using a relative-strength ratio.
2. Relative Strength Baseline
The ratio is smoothed into a baseline so leadership can be evaluated against its own recent behavior.
3. Leader Status Scoring
Leader status combines relative-strength distance, relative-strength slope, and price trend structure.
4. Pullback Depth Measurement
The script measures how far price has pulled back from the recent high using ATR-normalized depth and percentage depth.
5. Pullback Pocket Mapping
The pullback pocket is mapped between the fast recovery rail and the deeper trend shelf.
6. Recovery Evaluation
The script checks whether price is reclaiming the recovery rail while relative strength remains constructive.
7. Visual Output
The chart displays the pullback pocket, recovery rail, relative-strength rail, leader/laggard labels, right-side context tags, alerts, and a compact AG Pro panel.
🗺️ How to Read the Chart
Relative Pullback Pocket = the area where a leader pullback can remain structurally constructive.
Recovery Rail = the fast trend rail used to evaluate whether price is starting to recover from the pullback.
RS LEADER tag = the active symbol is outperforming the selected benchmark with constructive relative strength.
PULLBACK tag = the current pullback depth measured in ATR.
LEADER PULLBACK = the asset remains a relative leader while pulling into a meaningful pullback area.
RS HOLD = relative strength remains constructive during the pullback.
RECOVERY READY = price reclaimed the recovery rail while relative strength remained constructive.
RS BREAK = relative strength weakened or price broke the deeper pullback shelf.
Panel = summarizes relative state, quality score, leader status, pullback depth, recovery trigger, benchmark, and next context.
🚦 Signals & States
• LEADER PULLBACK → the asset remains a relative leader while pulling back.
• RS HOLD → relative strength is still holding during the pullback.
• RECOVERY READY → price reclaimed the recovery rail with constructive relative strength.
• RS BREAK → relative strength weakened or the pullback shelf broke.
• LAGGARD RISK → price is pulling back while the asset is no longer a clear relative leader.
🔔 Alerts Logic
Alerts can trigger when a leader pullback appears, relative strength holds, recovery becomes ready, or relative breakdown appears.
These alerts are attention markers only.
They are not trade instructions, entry signals, exit signals, or guaranteed outcomes.
🧩 Confluence Logic
The context becomes stronger when the active symbol remains above its relative-strength baseline, relative-strength slope is constructive, pullback depth is meaningful but not too deep, and price starts reclaiming the recovery rail.
The context becomes weaker when relative strength drops below its baseline, the slope turns down, or price breaks below the deeper trend shelf.
📊 When to Use
• During trend pullbacks
• When comparing an asset against a benchmark
• In crypto rotation analysis
• In stock or ETF relative-strength review
• When looking for leader pullbacks rather than weak pullbacks
• When filtering pullbacks by benchmark-relative performance
⚠️ When NOT to Use
• On symbols with poor benchmark fit
• During extremely noisy sideways markets
• In low-liquidity markets with unreliable candles
• When benchmark data is missing or unsuitable
• As a standalone buy or sell system
🎛️ Key Inputs
• Benchmark Symbol → defines the market used for relative comparison.
• Relative Strength Baseline → controls the smoothing length of the RS ratio.
• RS Slope Lookback → controls how relative-strength direction is evaluated.
• Minimum Leader Score → controls how strict leader classification should be.
• Fast Trend Length → controls the recovery rail.
• Slow Trend Length → controls the deeper pullback shelf.
• Pullback Lookback → controls the recent high used to measure pullback depth.
• Maximum Healthy Pullback ATR → controls when a pullback becomes too deep.
• Label and Panel Font Size → controls chart readability.
🖥️ Interface & Visual Design
The visual design is built around one question:
Is this still a leader pullback?
The pullback pocket shows the structural area, the recovery rail marks the reclaim reference, the relative-strength rail keeps benchmark context visible, the labels mark state changes, and the AG Pro panel summarizes the current decision context.
🧪 Practical Usage Workflow
1. Select an appropriate benchmark.
2. Read the panel first.
3. Check whether the asset is a relative leader.
4. Review pullback depth.
5. Look at the pullback pocket.
6. Watch whether price reclaims the recovery rail.
7. Confirm the broader market structure independently.
🔍 Interpretation Guidelines
A leader pullback means the asset is pulling back while still holding relative strength.
An RS hold means relative leadership has not broken yet.
Recovery ready means price has started reclaiming the recovery rail while relative strength remains constructive.
An RS break means the pullback may no longer be a clean leader pullback.
None of these states guarantee what happens next.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a financial advice tool.
It is not an automated trading system.
It does not guarantee recovery after a leader pullback.
It does not guarantee that relative leaders will continue outperforming.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Relative strength depends heavily on benchmark selection.
Different benchmarks may produce different interpretations.
Different timeframes may show different relative-strength states.
Fast markets can move through the pullback pocket quickly.
Sideways markets may create unclear relative-strength readings.
🧠 Market Context Notes
Relative strength is most useful when combined with structure, trend, volatility, and market regime.
A pullback in a relative leader can be constructive if leadership remains intact.
A pullback with relative breakdown is a weaker context and should be interpreted with caution.
Benchmark choice matters: crypto pairs may use BTCUSDT, stock charts may use SPY, sector ETFs, or another relevant benchmark.
🧾 Use Case Examples
When ETH pulls back while still outperforming BTC, the script can identify whether the pullback remains constructive or starts losing relative strength.
When a stock pulls back against SPY but relative strength holds above baseline, the script can highlight a leader pullback context.
When price breaks the pullback shelf while RS weakens, the script can flag relative breakdown risk.
🧱 System Philosophy
Relative Strength Pullback Map is part of the AGPro Series approach:
Build visual tools that explain market context clearly, avoid hype, avoid prediction claims, and support structured decision-making.
The goal is not to tell users what to do.
The goal is to help users see whether a pullback belongs to a strong leader or a weakening asset.
🔐 Non-Promise Statement
No script can remove uncertainty from trading.
This tool does not promise accuracy, certainty, profitability, or future performance.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly.
Users are responsible for their own decisions, position sizing, risk management, benchmark selection, and interpretation.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use this script as a structured way to study relative strength, benchmark leadership, pullback depth, and recovery context.
The most valuable output is not a single label.
The value is the full map: relative state, leader status, pullback pocket, recovery rail, and next context.
Indicator
Range Control Transfer Map [AGPro Series]Range Control Transfer Map
🧠 Core Idea
Who controls the range now, and did control transfer from the buyer side to the seller side or from the seller side to the buyer side?
📌 Overview / What it does
Range Control Transfer Map is a range-control visualization tool built to study sideways markets where price rotates between upper and lower boundaries.
The script builds a mature range, separates it into buyer-control and seller-control zones, maps the internal control transfer band, tracks acceptance through that band, scores transfer quality, monitors failed-transfer risk, and summarizes the current control state in a compact AG Pro panel.
It does not predict future price, automate trades, or claim that a control-transfer event must continue. It is a structured decision-support map for reading range control, acceptance, failed transfer risk, and next-context conditions.
🎯 Purpose & Design Philosophy
Many range tools answer only one question:
Where are support and resistance?
This script was built to answer a more useful question:
Who controls the range now?
The design goal is to help traders separate passive sideways movement from meaningful control transfer inside a mature range.
⚡ Why This Script Is Different
Most range tools draw a box, mark the high, mark the low, and stop there.
This script does NOT treat every range touch as equally important.
Instead, it divides the range into buyer-control and seller-control halves, watches the midpoint transfer band, checks candle body commitment, reviews volume participation, evaluates range health, and tracks whether the active control side is still protected or starting to fail.
The focus is not only where the range is.
The focus is who is gaining or losing control inside it.
⚙️ Methodology
1. Range Detection
The script identifies a working range using recent high/low structure, ATR-normalized range height, and repeated edge interaction.
2. Range Health Scoring
Range Health combines range height balance, edge-touch behavior, and current position relative to the control line.
3. Control Zone Mapping
The upper half becomes the Seller Control Zone.
The lower half becomes the Buyer Control Zone.
The midpoint area becomes the Control Transfer Band.
4. Transfer Evaluation
When price accepts through the transfer band with enough candle body commitment, the script evaluates whether buyer or seller control has transferred.
5. Transfer Quality Scoring
Transfer Quality combines range health, candle body commitment, and volume participation into a 0-100 score.
6. Failure Risk Review
The script monitors whether the active transfer is losing the transfer band and moving back toward control reset.
7. Visual Output
The chart displays buyer/seller control zones, the control transfer band, active transfer labels, failed-transfer labels, right-side control tags, alerts, and a compact AG Pro panel.
🗺️ How to Read the Chart
Seller Control Zone = the upper half of the mature range where seller-side control is evaluated.
Buyer Control Zone = the lower half of the mature range where buyer-side control is evaluated.
Control Transfer Band = the internal midpoint band where control handoff is judged.
SELLER CONTROL = price has accepted through the transfer band in favor of the seller side.
BUYER CONTROL = price has accepted through the transfer band in favor of the buyer side.
BALANCE = the range is mature, but neither side has clean active control.
RANGE BUILDING = the current structure is not mature enough for control-transfer mapping.
Panel = summarizes control side, transfer quality, range health, failure risk, control zone, and next context.
🚦 Signals & States
• CONTROL TRANSFER UP → buyer-side control transfer detected.
• CONTROL TRANSFER DOWN → seller-side control transfer detected.
• FAILED BUYER CONTROL → buyer-side transfer failed back through the control band.
• FAILED SELLER CONTROL → seller-side transfer failed back through the control band.
• BUYER EDGE CONTROL → price reacts from the lower control side.
• SELLER EDGE CONTROL → price reacts from the upper control side.
• BALANCE → no clean control transfer is active.
• RANGE BUILDING → the structure is not mature enough yet.
🔔 Alerts Logic
Alerts trigger when a major range-control event appears.
• Buyer Control Transfer → buyer-side transfer detected.
• Seller Control Transfer → seller-side transfer detected.
• High-Quality Control Transfer → transfer quality reaches the required threshold.
• Failed Control Transfer → active control transfer loses the control band.
• Buyer Edge Control → optional alert for lower-edge control reaction.
• Seller Edge Control → optional alert for upper-edge control reaction.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• The range has enough ATR-normalized height
• The range has repeated edge interaction
• Price accepts through the transfer band
• Candle body commitment supports the transfer direction
• Volume participation is not weak
• Transfer Quality is above the required threshold
• Failure Risk remains low after the transfer
• The panel state agrees with the chart label
When these elements do not align, the script avoids treating every range movement as a meaningful control shift.
📊 When to Use
• Range-control review
• Sideways market analysis
• Buyer/seller control mapping
• Failed transfer review
• Range acceptance study
• Crypto, stocks, futures, forex, and liquid markets
• 15m, 30m, 1H, 4H, and 1D charts
⚠️ When NOT to Use
• Very low-liquidity assets
• Extremely noisy micro timeframes
• Strong news spikes that distort range structure
• Clean one-directional trend environments with no mature range
• Markets where every midpoint cross is being over-interpreted
• Situations where a single label is expected to act as a guaranteed signal
🎛️ Key Inputs
• Range Lookback → defines the recent structure window used for range high, range low, and control line.
• Minimum Range Height ATR → defines the minimum range height required for a meaningful control map.
• Maximum Range Height ATR → prevents very wide structures from being treated as clean range-control maps.
• Use Intraday Adaptive Range → allows intraday charts to keep useful control maps without making higher-timeframe charts too noisy.
• Edge Touch Tolerance ATR → controls how close price must come to a range edge to count as an edge interaction.
• Control Band ATR → controls the thickness of the internal transfer band.
• Minimum Transfer Score → defines the quality threshold for meaningful control transfer.
• Minimum Body / Range → controls how much candle body commitment is required.
• Volume Confirm Ratio → defines how much participation is required for full volume credit.
• Failure Buffer ATR → controls where an active transfer starts to fail.
• Maximum Transfer Age → defines how long an active transfer can remain under review.
🖥️ Interface & Visual Design
The visual hierarchy is built around the active range:
The full range box defines the structure.
The upper half shows seller-control territory.
The lower half shows buyer-control territory.
The transfer band marks the internal handoff area.
Event labels mark control transfer and failed-control states.
Right-side tags keep buyer control, seller control, and transfer references visible.
The AG Pro panel compresses the current range-control context into a fast, readable summary.
🧪 Practical Usage Workflow
1. Read the panel Control Side.
2. Check whether the chart is Range Building, Balance, Buyer Control, or Seller Control.
3. Review where price is relative to the Control Transfer Band.
4. If a transfer label appears, compare it with Transfer Quality.
5. Watch whether Failure Risk remains low or starts rising.
6. Use the buyer and seller control zones as context areas, not automatic trade levels.
7. Confirm with broader market structure, liquidity, volume, and risk planning.
🔍 Interpretation Guidelines
A buyer-control transfer does not guarantee upside continuation.
A seller-control transfer does not guarantee downside continuation.
A failed-transfer label means the active control idea weakened.
A range-building state means the structure is not mature enough yet.
The script is best used as a range-control context layer, not as a standalone trading system.
🚫 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 entry or exit signals.
It is not a simple support/resistance box.
It is not another generic range breakout indicator.
⚠️ Limitations & Transparency
Range quality depends on timeframe and market structure.
Very volatile markets can expand beyond a clean control map.
Low-liquidity symbols may create unreliable edge and transfer behavior.
Choppy markets can create repeated control-transfer attempts.
Volume behavior can differ across crypto, stocks, futures, and forex.
🧠 Market Context Notes
Ranges often move through recognizable control phases:
range building → balance → control transfer → defense → failure or continuation.
This script visualizes that sequence so users can avoid treating every support or resistance touch as equally meaningful.
🧾 Use Case Examples
If price accepts through the transfer band from the lower half, the script may mark CONTROL TRANSFER UP.
If price accepts through the transfer band from the upper half, the script may mark CONTROL TRANSFER DOWN.
If an active buyer-control transfer loses the band, the script may mark FAILED BUYER CONTROL.
If an active seller-control transfer loses the band, the script may mark FAILED SELLER CONTROL.
🧱 System Philosophy
The goal is not to predict the next breakout.
The goal is to understand control inside the range.
This script treats range behavior as a sequence:
structure → control zone → transfer band → acceptance → defense or failure.
🔐 Non-Promise Statement
No control-transfer label guarantees continuation.
No failed-transfer label guarantees reversal.
No range zone guarantees support or resistance.
All outputs should be interpreted as analytical context.
📉 Risk Disclosure
Trading involves risk.
This script is for educational and analytical purposes only.
It does not provide financial advice, investment advice, or guaranteed trading outcomes.
Users are fully responsible for their own decisions, risk management, and trade execution.
📚 Educational Note
Use the script to study how control shifts inside mature ranges.
The most useful question is not only where the range high and low are.
The better question is whether control has actually transferred inside the range.
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
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