OBV+OBV+
OBV+ tracks On Balance Volume against a moving average of itself and turns
that relationship into a directional state, then gates entries behind a
statistical trend test and manages the trade with a chandelier stop that only
ever moves in your favor.
HOW THE STATE WORKS
The indicator plots OBV with a configurable moving average (EMA, SMA, WMA,
RMA, or HMA). The distance between the two is ranked as a percentile against
its own recent history, so a strong OBV move is defined relative to what this
symbol has actually been doing rather than by a fixed number that means
something different on every chart. When that strength clears your threshold,
the state turns bullish or bearish and stays there until a qualifying move
flips it the other way. A minimum bar spacing keeps the state from
oscillating.
HOW ENTRIES WORK
A state flip on its own does not open a trade. The flip arms an entry window,
and within that window a linear regression on price must independently confirm
that a trend exists in the same direction, measured by the t statistic of the
regression slope. If the trend test agrees, the trade opens. If the window
closes without confirmation, the flip expires and prints a small gray circle
so you can see exactly which signals were passed over. The next entry then
waits for a fresh flip.
Price bars are colored by the gate rather than by raw OBV, so bars show green
or red only where both conditions are satisfied and gray everywhere else. You
can see at a glance which parts of the chart the indicator considers
tradeable.
HOW EXITS WORK
The stop arms immediately on the entry bar, placed beyond that bar's range so
a wide entry candle cannot take you out on the next bar. From there it trails
from the highest high reached since entry (or lowest low when short) at a
configurable ATR multiple, and it is hard clamped so it can only tighten. In a
long it never moves down. It tightens as volatility contracts and holds its
ground when volatility expands. The stop line is drawn directly on price
alongside entry triangles and exit crosses.
The trailing stop is the only exit by default. Opposite states are ignored
while a position is open, so a brief counter signal that does not reach your
stop leaves the trade running. If you would rather have state changes close
and reverse the position, there is a switch for it.
INPUTS
MA type and length, strength lookback and minimum percentile, minimum bars
between flips, regression lookback, minimum absolute t statistic, confirmation
window length, ATR length and chandelier multiple, plus a flip reverses
position toggle. Display options cover the fill, the trail, trade markers, and
bar coloring, with configurable bull, bear, and neutral colors. An optional
pane mode swaps OBV for the signed strength percentile with the threshold
lines drawn, which makes it easy to see which moves clear the bar.
ALERTS
Separate alert conditions for long entry, short entry, and exit, plus a single
combined alert carrying the ticker, timeframe, strength percentile, t
statistic, and current stop level.
NOTES
Because the signal is built from volume, results depend on the volume series
your data feed provides, and the same symbol can behave differently across
exchanges. Signals evaluate on bar close. Settings are deliberately open
ended: a low strength percentile with a short regression lookback produces
frequent, permissive signals, while raising the percentile and the t threshold
narrows it toward fewer and more selective ones. This is for informational purposes
only and isn't meant as financial advice. Indicator
Liquidity Side Bias Engine [AGPro Series]Liquidity Side Bias Engine
🧠 Core Idea
Which side of resting liquidity is the more likely near-term draw right now: the buy-side above, or the sell-side below?
This script is built to answer that one question with structure instead of guesswork.
📌 Overview / What It Does
Liquidity Side Bias Engine is a forward-looking, two-sided liquidity planner for smart-money and ICT-style analysis. Most price action leaves resting liquidity on both sides of the market: buy-side liquidity above old highs and equal highs, and sell-side liquidity below old lows and equal lows. At any moment, one of those two sides usually has the stronger pull. This tool maps the nearest untapped liquidity on each side and weighs it into a single, readable side lean.
Concretely, it identifies the closest buy-side pool above price and the closest sell-side pool below price from equal-highs and equal-lows clusters, the prior higher-timeframe high and low, and unmitigated swing points. It then scores each side from 0 to 100 using proximity, pool strength, trend context, and premium-discount range position, and reports which side is leaning, by how much, where the primary draw sits, and which opposite level would flip the read.
It does NOT predict price, generate buy or sell signals, or automate trades. It organizes a two-sided liquidity picture into a structured bias so the chart is easier to read and plan around. Every output is analytical context, not a recommendation.
🎯 Purpose & Design Philosophy
Liquidity tools usually fall into two buckets: reactive sweep detectors that mark a liquidity grab after it already happened, and static maps that draw every pool on the chart and leave interpretation entirely to the trader. Both are useful, but neither answers the practical question a planner actually asks before the move: of the two sides, which one is the market more likely leaning toward next?
This engine was built to fill that gap. It is for the trader who already understands liquidity but wants a clean, consistent way to frame the two-sided picture without manually weighing five different factors on every chart. It supports a patient, context-first mindset: read the lean, understand why it leans, watch the primary draw and the flip level, and let broader market context confirm or deny the idea. The goal is intentional, structured thinking, not a shortcut around it.
⚡ Why This Script Is Different
Most liquidity tools focus on what already happened, marking sweeps and grabs after the candle closes, or they paint a dense map of every pool and stop there.
This script does NOT try to call tops and bottoms, does NOT fire trade signals, and does NOT bury the chart in unlabeled levels.
Instead, it looks forward. It treats buy-side and sell-side liquidity as a two-sided tug-of-war and resolves it into one lean score from 0 to 100, with a clear dominant side, a primary draw target, an opposite flip level, the pool type in play, and a premium-discount range read. The leaning side is drawn solid and emphasized; the opposite side is drawn faint as the flip reference. The result is a single, calm decision-support read instead of a wall of levels or a backward-looking alert.
⚙️ Methodology
1. Context Detection
An ATR baseline, an EMA trend backbone with a slope check, and a premium-discount dealing range are computed to describe the current environment.
2. Reference Mapping
The nearest untapped buy-side pool above price and sell-side pool below price are located from equal-highs and equal-lows clusters, the prior higher-timeframe high and low, and unmitigated swing points. The prior period adapts to the chart: prior day on intraday, prior week on daily, prior month on higher timeframes.
3. Reaction Evaluation
Each side is scored from 0 to 100 across four factors: proximity (closer pools pull more), pool strength (cluster size, prior-period magnetism, freshness), trend context (the direction-aligned side is weighted), and range position (discount weights the buy-side draw, premium weights the sell-side draw). The two scores are compared into a single lean; a small balance gap is treated as two-sided.
4. Visual Output
The leaning side, its primary draw, the opposite flip level, pool type, distance, and a next-action read are rendered into a clean panel, two side lines, a centered bias badge, and moderate alternating event labels.
🗺️ How to Read the Chart
- Side lines: the buy-side line sits above price, the sell-side line below. The leaning side is solid and bold; the opposite side is faint and dashed, marking the flip reference.
- Bias badge: a compact badge near current price shows the leaning state and its 0-100 score.
- Target tag: a single right-edge tag marks the primary draw price on the leaning side.
- Faint pool lines: lighter dotted lines show other untapped pools as a soft liquidity map.
- Labels: green relates to buy-side context, pink to sell-side context, amber to balanced.
- Panel: a fixed readout of state, bias score, primary draw, pool type, range, flip level, and action.
🚦 Signals & States
- Buy-Side Lean → buy-side liquidity above is currently the leaning near-term draw.
- Sell-Side Lean → sell-side liquidity below is currently the leaning near-term draw.
- Balanced → both sides are close in score; no clear leaning side.
- Buy-Side Taken / Sell-Side Taken → a liquidity side was traded through (mitigated).
These are interpretive states, not instructions. A Buy-Side Lean does not mean buy; it means the upside pool is the weighted draw in the current context.
🔔 Alerts Logic
Three optional alerts are available:
- Buy-Side Lean: triggers when the dominant side flips to buy-side above the active threshold.
- Sell-Side Lean: triggers when the dominant side flips to sell-side above the active threshold.
- Liquidity Side Taken: triggers when a buy-side or sell-side pool is traded through.
Alerts are attention markers that point you back to the chart for context. They are not trade instructions and carry no guarantee of any outcome.
🧩 Confluence Logic
The lean is itself a confluence read. When proximity, pool strength, trend alignment, and range position agree on one side, that side scores higher and the lean is more pronounced. When they disagree, the score stays moderate and the state may resolve to Balanced, which is information in itself: the two-sided picture is unresolved.
📊 When to Use
- Trending markets, to frame whether the trend-aligned liquidity remains the dominant draw.
- Ranging markets, to read which range extreme is the more likely draw from the current premium-discount position.
- Around prior-period highs and lows, to gauge which side carries the stronger pull.
- As a planning overlay alongside your own structure, entries, and risk framework.
⚠️ When NOT to Use
- In very low-liquidity symbols or sessions, where swing points and pools are unreliable.
- In extremely noisy or news-driven conditions, where levels are violated erratically.
- As a standalone entry trigger, or in isolation from market structure and risk context.
- On data with large gaps or thin history, where pool detection has too little to work with.
🎛️ Key Inputs
- Swing Strength: how strong a swing must be to qualify as a pool. Higher keeps only major swings.
- Pool Memory: how many recent swings are retained per side.
- Equal Level Tolerance: ATR width for grouping nearby levels into an equal-highs or equal-lows cluster.
- Use Prior-Period Pools: includes the adaptive prior-period high and low as pools.
- Trend Backbone EMA and Slope Bars: define the directional context weighting.
- Premium-Discount Range: lookback for the dealing range that drives the range-position factor.
- Max Draw Distance, Pool Freshness Window: shape how distance and age affect the score.
- Active Bias Score and Balanced Gap: thresholds for an active lean versus a balanced read.
- Visual, label, and panel controls: side lines, badge, target tag, pool map, label density, panel location, theme, and font size.
🖥️ Interface & Visual Design
The panel is the primary readout, leading with the leaning state and 0-100 score, then primary draw, pool type, premium-discount range, flip level, and a concise action line. On the chart, visual hierarchy favors the leaning side: it is solid and emphasized, while the opposite side stays faint. Labels are kept moderate and strictly alternating so the chart reads cleanly at a glance. Panel location, theme, and font size are adjustable; the panel is shown by default for readability.
🧪 Practical Usage Workflow
1. Read the panel: note the leaning state and the bias score.
2. Check the primary draw and the flip level: where is the weighted draw, and what would invalidate the read.
3. Read the premium-discount range line: is price in discount or premium, and how far is the draw in ATR.
4. Confirm with your own market structure, higher-timeframe context, and risk framework before any decision.
🔍 Interpretation Guidelines
Think of the lean as a weighted opinion about the two-sided liquidity picture, not a forecast. A higher score means the factors agree more strongly; a moderate score or a Balanced state means the picture is mixed and patience is warranted. The flip level is a structural reference, not a hard line. Always interpret the lean inside the broader market context rather than in isolation.
🚫 What This Script Is NOT
- It is NOT a prediction engine and does not forecast price direction.
- It is NOT financial advice or a recommendation to buy or sell.
- It is NOT an automated trading system.
- It does NOT produce guaranteed signals or outcomes.
⚠️ Limitations & Transparency
Outputs depend on detected swing structure and may differ across timeframes and symbols. Volatility, liquidity, and changing market conditions affect how pools form and how they are taken. Prior-period pools rely on higher-timeframe data and shift as new periods print. The tool describes current structure; it cannot know the future, and any level can be exceeded or fail to be reached.
🧠 Market Context Notes
Liquidity tends to rest where many participants place stops and pending orders: above equal highs, below equal lows, and around prior-period extremes. In an uptrend, price in discount often leans toward the buy-side draw above; in a downtrend, price in premium often leans toward the sell-side draw below. This engine encodes that two-sided logic into a single read, but market context always has the final word.
🧾 Use Case Examples
- Price is in discount within its range, trend is up, and the nearest buy-side pool is a prior-week high: the engine shows a Buy-Side Lean with the prior-week high as the primary draw.
- Price is in premium, momentum is fading, and equal lows rest below: the engine may show a Sell-Side Lean with those equal lows as the primary draw and a high above as the flip level.
- Both sides score closely: the engine reports Balanced, signaling an unresolved two-sided picture.
🧱 System Philosophy
This tool reflects the AGPro Series approach: convert a familiar but messy concept into a calm, structured, decision-support read. Liquidity is everywhere on a chart; the value is in organizing it into a single, honest lean that respects the trader's own judgment rather than replacing it.
🔐 Non-Promise Statement
This script makes no promise of profit, accuracy, or any specific result. It is an analytical and organizational tool. No certainty is offered or implied.
📉 Risk Disclosure
Trading involves substantial risk, and most participants can lose money. This script is provided for educational and analytical purposes only and does not constitute financial advice. All decisions, positions, and outcomes remain entirely your own responsibility. Always manage risk and trade within your own plan.
📚 Educational Note
Used as intended, the engine can sharpen how you think about two-sided liquidity: where it rests, which side is weighted, and what would change the picture. Treat it as a lens for structured analysis, and keep building your own market understanding alongside it.
Indicator
Draw On Liquidity Planner [AGPro Series]Draw On Liquidity Planner
🧠 Core Idea
Of all the liquidity resting around price, which single pool is the dominant draw right now, how strong is that draw, and what level would put it in question?
📌 Overview / What It Does
Draw On Liquidity Planner is a chart-first liquidity decision tool. Instead of drawing every high and low on the screen, it studies the untapped liquidity pools sitting on both sides of price and decides which one is acting as the dominant "draw on liquidity," then frames a complete read around it.
It maps buy-side liquidity above price and sell-side liquidity below price from three sources: clusters of equal highs and equal lows, the prior higher-timeframe high and low, and unmitigated swing points. It tracks which pools are still untapped and which have already been swept. It then scores each side from 0 to 100 and selects the single dominant draw, presenting a clear state, the target pool price, the draw distance in ATR, the pool type, a structural invalidation reference, and a plain next-action read in a clean panel.
The script does not predict price, generate buy or sell signals, or automate trades. It organizes scattered liquidity into one structured draw decision so the chart can be read with intent instead of guesswork.
🎯 Purpose & Design Philosophy
This planner was built to close a specific gap. Many liquidity tools fall into one of two traps: they map every level at once until the chart is unreadable, or they only flag a sweep after it has already happened. Neither answers the first question a liquidity-focused trader actually asks: of everything resting around price, which side is the real magnet, and how convinced should I be?
Draw On Liquidity Planner is designed for patient, context-driven traders who think in terms of where liquidity rests and where price is being pulled. It supports a planning mindset rather than a reflex: identify the dominant draw, note the target and the invalidation, gauge conviction from the score, and then wait for the market to confirm or reject that context. It is a decision-support layer, not a trigger.
⚡ Why This Script Is Different
Most liquidity tools either print a dense map of every swing high and low, or they detect a sweep only once it is complete and leave the interpretation to you.
This script does NOT flood the chart with every level, and it does NOT claim to know the next move.
Instead, it ranks both sides of liquidity into a single dominant draw with a transparent 0-100 score, shows one clean target, one structural invalidation, and a light reference map of the remaining pools, and keeps the detailed read in a premium panel so the price area stays clear. The decision layer — which side, how strong, what would invalidate it — is the product. The raw levels are just the inputs.
⚙️ Methodology
The internal logic runs in clear, rule-based steps:
1. Pool Detection
Swing highs and swing lows are detected with an adjustable swing strength and stored as candidate liquidity pools. The prior higher-timeframe high and low can be included as significant pools, and the period adapts to the chart: prior day on intraday charts, prior week on daily charts, and prior month on higher timeframes.
2. Mitigation Tracking
A buy-side pool is marked as taken once price trades through it, and a sell-side pool once price trades under it. Only untapped liquidity is treated as an active draw, so the read reflects what is still resting rather than what has already been consumed.
3. Cluster Evaluation
Nearby untapped levels are grouped using an ATR-based tolerance to recognize equal highs and equal lows. More touches at a level mean stronger resting liquidity, which contributes a higher draw quality.
4. Draw Scoring
Each side receives a 0-100 score built from four components: pool quality (cluster strength and prior-period status), proximity in ATR, directional context from a trend backbone, and pool freshness. The weighting favors quality and proximity while still respecting trend alignment and how recently the pool formed.
5. Dominant Draw Selection
The higher-scoring side becomes the active draw. When the two sides are close, the context is treated as balanced two-sided liquidity rather than forcing a single direction.
6. Visual Output
The active draw is drawn as a thin highlighted zone with a centered badge, a target line, a structural invalidation line, a light reference map of the remaining pools, a single right-edge target tag, and a complete summary panel.
🗺️ How to Read the Chart
- Draw Zone: the thin highlighted band around the dominant liquidity target, with a centered badge showing the state and the 0-100 score.
- Target Line: the solid line at the active draw pool price.
- Invalidation Line: the dashed line at the opposite-side structural reference (the nearest swing on the other side); losing that level weakens the current draw lean.
- Faint Pool Lines: dotted reference lines marking the other untapped pools on each side, as a light liquidity map.
- Target Tag: a single right-edge tag with the active draw target price.
- Event Labels: compact markers that print when the dominant draw flips side or when a liquidity pool is swept. They alternate by side and stay clear of the candles.
- Panel: state, draw score, target, distance, pool type, invalidation, and action.
Colors follow the AG Pro palette: teal for buy-side draws, pink for sell-side draws, and amber for balanced or lower-conviction context.
🚦 Signals & States
• Buy-Side Draw → untapped liquidity above is the dominant magnet
• Sell-Side Draw → untapped liquidity below is the dominant magnet
• Two-Sided → both sides are roughly balanced, with no single dominant draw
• No Draw → no qualifying untapped pool is currently in range
States describe liquidity context only. They are not trade instructions and carry no guarantee of direction.
🔔 Alerts Logic
Alerts are available for:
- Buy-Side Draw: the dominant draw establishes on the buy side with a qualifying score
- Sell-Side Draw: the dominant draw establishes on the sell side with a qualifying score
- Liquidity Pool Swept: a tracked pool is traded through
Alerts are attention markers that flag a change in liquidity context. They are not signals to enter or exit a position, and each alert should be interpreted within the broader market picture.
🧩 Confluence Logic
The draw score is itself a confluence measure. A high score means pool quality, proximity, directional context, and freshness are aligning on the same side. When the active draw also agrees with your higher-timeframe bias and the prevailing structure, the context is stronger. When they disagree, the read deserves more caution, and the score will usually reflect that with a lower value.
📊 When to Use
• Trending markets, where price tends to reach for liquidity in the direction of the trend
• Range edges, where equal highs or equal lows build obvious resting liquidity
• Charts with a clear prior-period high or low acting as a reference draw
• Planning phases, when defining a target and an invalidation before committing to a view
⚠️ When NOT to Use
• Very low-liquidity symbols or thin sessions, where swing structure is unreliable
• Extreme volatility events, where levels are torn through without reaction
• Very low timeframes dominated by noise, where pools form and break too quickly
• As a standalone entry trigger, with no regard for broader context
🎛️ Key Inputs
• Swing Strength → how strong a swing must be to become a pool
• Pool Memory → how many recent pools are retained
• Equal Level Tolerance → how loosely nearby levels merge into a cluster
• Use Prior-Period Pools → include the prior higher-timeframe high and low (day, week, or month by chart)
• Trend Backbone EMA and Slope → the directional context used in scoring
• Max Draw Distance → distance beyond which a pool is treated as too far to be an active draw
• Active Draw Score → minimum score for an emphasized, alert-eligible draw
• Two-Sided Balance Gap → score gap below which liquidity is treated as balanced
• Visual and panel settings → control zones, lines, labels, density, location, theme, and font size
🖥️ Interface & Visual Design
The interface is intentionally restrained. One dominant draw zone, one target line, one structural invalidation reference, a light pool map, and a single target tag keep the chart readable. Event labels alternate by side and point at the candle that produced them, so the chart reads as a clean sequence rather than a cluster. The panel carries the detailed read, and its first row is a single merged brand header. Panel location, theme, and font size are all adjustable, and the panel is shown by default for clarity.
🧪 Practical Usage Workflow
1. Read the panel: note the state and the draw score.
2. Locate the target: confirm the highlighted draw zone and the target line.
3. Check the invalidation: note the opposite-side structural reference.
4. Confirm context: compare with your higher-timeframe bias and structure before acting on any view.
🔍 Interpretation Guidelines
Treat the draw score as a measure of how clearly liquidity leans to one side, not as a probability of profit. A strong, aligned draw is context to plan around. A balanced or weak read is a reason to wait rather than to force a trade. Every output is meant to be interpreted inside the broader market picture, never in isolation.
🚫 What This Script Is NOT
- It is NOT a prediction engine.
- It is NOT financial advice.
- It is NOT an automated trading system.
- It does NOT generate guaranteed signals or outcomes.
⚠️ Limitations & Transparency
Liquidity context behaves differently across timeframes, symbols, and volatility regimes. Pools can be ignored, swept and reversed, or run through without reaction. Swing detection depends on the chosen settings, and prior-period references behave differently across symbols and session types. This tool organizes context and frames a decision; it does not guarantee how price will respond to any level.
🧠 Market Context Notes
Liquidity tends to rest where many participants place stops: above equal highs, below equal lows, and around prior-period extremes. Price often gravitates toward these areas, but the timing and the reaction are never certain. The structure and volatility around a pool shape how meaningful any reaction near it is likely to be, which is why the score blends proximity and trend context rather than distance alone.
🧾 Use Case Examples
• In an uptrend, the planner highlights a buy-side draw at a cluster of equal highs above price, with a recent swing low as the structural invalidation below and a score that reflects how aligned and how close that draw is.
• In a range, the planner shows two-sided liquidity, signaling that no single side is dominant and that patience is warranted until one side resolves.
• After a deep move, the prior-period high or low can become the dominant draw, giving a clear reference target while the invalidation marks where that lean would weaken.
🧱 System Philosophy
The AG Pro approach favors decision-support tools over raw indicators. Each script is built to answer a specific question, present a clean read, and respect the chart. Draw On Liquidity Planner reflects that philosophy by turning scattered liquidity into one structured draw decision with a transparent score and a defined invalidation.
🔐 Non-Promise Statement
This tool offers no guarantees and no certainty about future price movement. It is a structured way to read liquidity context and frame a plan, nothing more.
📉 Risk Disclosure
Trading involves substantial risk. This script is provided for educational and analytical purposes only and does not constitute financial advice. All trading decisions and their outcomes are solely the responsibility of the user.
📚 Educational Note
Use this planner to study how price interacts with resting liquidity over time. Watching which draws are respected, swept, or ignored on your own market and timeframe is a practical way to build liquidity-reading skill and a more structured trading process. Indicator
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
MA200 Expansion and Drawdown ThermometerMA200 Expansion & Drawdown Thermometer
Overview
This indicator measures and classifies every historical price cycle above and below a moving average, building a statistical thermometer that tells you — in real time — how extended the current move is relative to all past cycles.
How It Works
Every time price crosses above the selected moving average, the script opens a new expansion cycle and tracks the maximum percentage distance the HIGH reaches from the MA before price closes back below it. Symmetrically, every time price crosses below the MA, a drawdown cycle begins and tracks how far the LOW drops before price recovers. When each cycle ends, its peak expansion (or drawdown) percentage is stored in a historical array.
Thermometer Lines
At the right edge of the chart, three horizontal dashed lines project forward from the current MA value:
🔺 EXP MAX — the largest upside expansion ever recorded in the selected period
⚠️ EXP 75%ile — the 75th percentile of all historical expansions
📊 EXP AVG — the average expansion across all cycles
The same three levels are mirrored below the MA for drawdown cycles (blue/purple palette). Coloured fill zones between the lines create an intuitive heat-map: yellow → orange → red for upside risk, teal → purple → blue for downside risk.
Live Cycle Label
When price is currently in an active cycle, a label on the latest bar shows:
Maximum % reached so far in this cycle
Current close % distance from the MA
Remaining headroom to the historical maximum
Historical Table
A compact side table displays:
Period indicator — shows whether you are viewing the full history or a custom lookback window
Top N expansions (ranked, colour-coded by intensity vs. average and 75th percentile)
Top N drawdowns (same logic, mirrored below a divider)
Average and MAX summary for both sections
LIVE row (highlighted in yellow) when a cycle is currently active
Settings
Parameter Description
MA Length Period of the moving average (default 200)
MA Type SMA / EMA / WMA / HMA
Anni di storico Lookback window in years — 0 = full history
Top N per sezione How many ranked cycles to show in the table
Table Position Top/Bottom × Left/Right
Background tint Subtle colour fill above/below the MA
Coloured zones Toggle the thermometer fill bands Indicator
Z Score FilterComposite Risk Filter
This indicator works because it aggregates several independent but structurally important stress channels (currency strength, rates, equity volatility, bond volatility, and credit conditions) into a single normalized measure. Each input is transformed into a z-score, meaning the composite does not care about absolute levels, narratives, or regimes; it only measures whether conditions are tightening or easing relative to what has been normal recently. That makes the output robust to inflation, secular trends, and structural shifts that break simpler correlations.
What the indicator captures is not direction but constraint. Markets do not move because risk is “on” or “off”; they move because certain behaviors are more or less permitted under prevailing financial conditions. By identifying when systemic pressure is elevated, relaxed, or neutral, the indicator helps align trade expectations with the environment price is operating in. When used as a filter — not a signal — it reduces false confidence, improves expectancy selection, and keeps price in the primary role where it belongs.
Indicator
PLR-Z For Loop🧠 Overview
PLR-Z For Loop is a trend-following indicator built on the Power Law Residual Z-score model of Bitcoin price behavior. By measuring how far price deviates from a long-term power law regression and applying a custom scoring loop, this tool identifies consistent directional pressure in market structure. Designed for BTC, this indicator helps traders align with macro trends.
🧩 Key Features
Power Law Residual Model: Tracks deviations of BTC price from its long-term logarithmic growth curve.
Z-Score Normalization: Applies long-horizon statistical normalization (400/1460 bars) to smooth residual deviations into a usable trend signal.
Loop-Based Trend Filter: Iteratively scores how often the current Z-score exceeds prior values, emphasizing trend persistence over volatility.
Optional Smoothing: Toggleable exponential smoothing helps filter noise in choppier market conditions.
Directional Regime Coloring: Aqua (bullish) and Red (bearish) visuals reinforce trend alignment across plots and candles.
🔍 How It Works
Power Law Curve: Price is compared against a logarithmic regression model fitted to historical BTC price evolution (starting July 2010), defining structural support, resistance, and centerline levels.
Residual Z-Score: The residual is calculated as the log-difference between price and the power law center.
This residual is then normalized using a rolling mean (400 days) and standard deviation (1460 days) to create a long-term Z-score.
Loop Scoring Logic:
A loop compares the current Z-score to a configurable number of past bars.
Each higher comparison adds +1, and each lower one subtracts -1.
The result is a trend persistence score (z_loop) that grows with consistent directional momentum.
Smoothing Option: A user-defined EMA smooths the score, if enabled, to reduce short-term signal noise.
Signal Logic:
Long signal when trend score exceeds long_threshold.
Short signal when score drops below short_threshold.
Directional State (CD): Internally manages the current market regime (1 = long, -1 = short), controlling all visual output.
🔁 Use Cases & Applications
Macro Trend Alignment: Ideal for traders and analysts tracking Bitcoin’s structural momentum over long timeframes.
Trend Persistence Filter: Helps confirm whether the current move is part of a sustained trend or short-lived volatility.
Best Suited for BTC: Built specifically on the BNC BLX price history and Bitcoin’s power law behavior. Not designed for use with other assets.
✅ Conclusion
PLR-Z For Loop reframes Bitcoin’s long-term power law model into a trend-following tool by scoring the persistence of deviations above or below fair value. It shifts the focus from valuation-based mean reversion to directional momentum, making it a valuable signal for traders seeking high-conviction participation in BTC’s broader market cycles.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy. Indicator
Indicator
NUPL-Z For Loop🧠 Overview
NUPL-Z For Loop is a trend-following indicator built on Bitcoin’s on-chain Net Unrealized Profit/Loss (NUPL) metric. It uses a Z-scored transformation of NUPL and a custom loop-based scoring system to measure the consistency of directional movement. Rather than identifying tops and bottoms, this tool is designed to track sustained trends and filter out short-term noise, making it ideal for momentum-aligned strategies.
🧩 Key Features
Loop-Based Trend Logic: Assesses trend strength by summing the number of upward vs. downward moves in Z-scored NUPL across a custom lookback.
Z-Score Normalization: Applies long-term statistical normalization to NUPL to emphasize deviation from average behavior over time.
Threshold-Based Regime Shifts: Custom input thresholds define when trend strength is significant enough to trigger long or short signals.
Directional Market State Tracking: Internally tracks bullish, bearish, or neutral conditions to guide trend entries.
BTC-Focused On-Chain Analysis: Tailored specifically for Bitcoin using Market Cap and Realized Cap inputs.
🔍 How It Works
NUPL Calculation: Derived as the percentage of net unrealized profit relative to market cap: (MC - RMC) / MC * 100.
Z-Scoring: NUPL is normalized using a rolling mean and standard deviation over a long window (default 1300 days) to create a smoothed trend signal.
Directional Loop: A custom loop iterates from the start_loop to the end_loop, comparing the current Z-score to past values.
Each instance where NUPL_Z > NUPL_Z adds +1 to the score; otherwise, it subtracts -1.
This cumulative score reflects how consistently NUPL-Z has been trending.
Signal Logic:
Long signal when loop score exceeds long_threshold.
Short signal when score falls below short_threshold.
CD State Engine: Maintains the current trend regime (1 for long, -1 for short), which drives plot coloring and overlays.
🔁 Use Cases & Applications
Momentum Trend Filter: Detects and confirms sustained directional strength in BTC’s profit/loss positioning.
Noise Suppression: Avoids reactive signals from one-off spikes or dips in NUPL by requiring a consistent trend before confirming bias.
Best Suited for BTC: Designed specifically for Bitcoin’s price and on-chain structure, using its unique NUPL dynamics.
✅ Conclusion
NUPL-Z For Loop transforms a traditionally mean-reverting indicator into a trend-following signal engine. By scoring the consistency of movement in normalized NUPL, this tool identifies trend strength rather than reversal potential — providing more reliable context for momentum-aligned trades on Bitcoin.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy. Indicator
MVRV-Z For Loop🧠 Overview
MVRV-Z For Loop is a trend-following indicator that applies a custom directional for-loop logic to the MVRV Z-score. By evaluating the number of consecutive Z-score improvements or deteriorations over time, it identifies sustained directional pressure in Bitcoin’s on-chain trend — helping traders align with prevailing market strength rather than reacting to single-point extremes.
🧩 Key Features
Loop-Based Trend Filter: Applies a running comparison loop to assess whether MVRV-Z has been consistently strengthening or weakening.
Directional Scoring System: Each upward movement contributes positively, and each downward movement negatively, producing a cumulative trend score.
Z-Scored MVRV: Leverages on-chain valuation via the Market Cap to Realized Cap ratio, normalized using a long-term rolling average and standard deviation.
Custom Thresholds: User-defined thresholds for long and short signals based on trend score magnitude.
Dynamic Candle Coloring: Visually reinforces trend state with aqua for bullish and red for bearish environments.
🔍 How It Works
Z-score Transformation: The MVRV ratio is normalized over a long lookback (default 1050 days), creating a standardized valuation signal.
For-Loop Engine: A directional loop compares the current MVRV-Z value to previous values within a defined range (start to end).
If today’s value is higher than ma , it adds +1 to the score; otherwise, it subtracts -1.
This loop effectively measures momentum consistency rather than magnitude alone.
Signal Logic:
A Long signal is triggered when the cumulative trend score exceeds the long_threshold.
A Short signal is triggered when the score drops below the short_threshold.
State Variable (CD): Tracks the market regime (1 = long, -1 = short), updating only when a valid condition is met.
🔁 Use Cases & Applications
Trend Confirmation Tool: Helps traders assess whether a directional move has been sustained over time before committing.
Momentum Alignment: Filters out short-term noise by scoring consistency in MVRV-Z movement rather than relying on single-bar reversals.
Best Suited for BTC: This indicator is specifically built using Bitcoin’s Market Cap and Realized Cap metrics, making it ideal for BTC trend tracking.
✅ Conclusion
MVRV-Z For Loop transforms the traditional MVRV Z-score into a trend-following signal using a cumulative scoring approach. It excels in highlighting sustained directional strength and avoids premature entries during valuation whipsaws. This makes it a strong tool for traders looking to stay on the right side of the trend without overreacting to short-term fluctuations.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy. Indicator
Indicator
OBVX Conviction Bias🧮 The OBVX Conviction Bias overlay tracks the flow of directional volume using the classic On-Balance Volume calculation, then filters it through a layered moving average system to expose crowd commitment , pressure transitions , and momentum fatigue . The tool applies two smoothed averages to the OBV line—a fast curve and a longer-term baseline scaled using Euler’s constant (2.718)—and visualizes their relationship using a color-coded crossover ribbon and pressure fills. When used correctly, it reveals whether a move is being supported by meaningful volume, or whether the crowd is starting to disengage.
🚦 The core signal compares OBV to its fast moving average. When OBV climbs above the short average, it fills green—suggesting real directional effort. When OBV sinks below, the fill turns maroon—flagging fading conviction or pullback potential. A second fill between the short and long OBV moving averages captures the broader trend of volume intention. If the short is above the long, this space fills greenish, showing constructive pressure. If it flips, the fill fades red, signaling crowd hesitation, rotation, or early exhaustion.
⚖️ All smoothing is user-selectable, defaulting to VWMA for effort-sensitive structure. The long-term average is auto-scaled using the natural exponential multiplier (2.718), offering rhythm that reflects the curve of participation. OBVX Conviction Bias isn’t trying to predict—it’s trying to show you where the crowd is leaning , and whether that lean is gaining traction or losing strength.
🧐 Ideal Use-Cases:
• Detect divergence between volume flow and price action
• Confirm breakout validity with volume alignment
• Fade breakouts where OBV fails to follow through
• Time pullback entries when OBV pressure resumes in trend direction
🍷 Recommended Pairings:
• ZVOL to measure whether volume is statistically significant or just noise (as shown)
• RVOL Effort Matrix to validate crowd effort by tier and structure zone
• SUPeR TReND 2.718 and/or MA Ribbons for directional confluence
• ATR Turbulence to track volatility-phase alignment with volume intention Indicator
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