Single Timeframe Multi-EMA Trend Table### Overview
The **Single Timeframe Multi-EMA Trend Table** displays the directional bias of 7 customizable Exponential Moving Averages (EMAs) calculated from a single, higher timeframe of your choice.
This allows traders working on lower execution timeframes (e.g., 1-minute or 5-minute charts) to effortlessly monitor macro trend alignment and EMA support/resistance zones from higher timeframes (e.g., 15m, 1h, or 4h) without switching charts.
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### Key Features
* **Selectable Target Timeframe:** Choose any timeframe (1m, 5m, 15m, 1h, 4h, 1D, etc.) to fetch EMA data from.
* **7 Customizable EMAs:** Define 7 individual EMA lengths (e.g., EMA 9, 20, 50, 100, 150, 200, 800) to monitor full trend structure.
* **Consolidation Detection:** Identifies when price is compressing or trading close to a specific EMA line, marking it as a **RANGE 🟡** state.
* **Clean UI:** Displays chosen timeframe in the table header alongside active EMA lengths and clear color-coded statuses.
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### How to Use
1. **Set Target Timeframe:** In the settings, choose the macro timeframe you want to base your analysis on (e.g., 15m).
2. **Configure EMAs:** Input your preferred EMA lengths.
3. **Gauge Trend Strength:**
* **Full Bullish Alignment:** All or most EMAs show `BULLISH 🟢`.
* **Compression/Ranging:** Multiple EMAs show `RANGE 🟡`, warning of choppy price action. Indicator
SNIPERS EMAs + VWAPSNIPERS EMAs + VWAP
SNIPERS EMAs + VWAP is a configurable trend and market value analysis tool that combines five Exponential Moving Averages with session VWAP in a single overlay indicator.
The moving averages provide a structured view of short-, medium- and long-term trend direction, while VWAP provides a volume-weighted reference for the average price traded during the active session. Combining them allows traders to compare trend structure with session value without loading multiple separate indicators.
How the Indicator Works
The script plots the following exponential moving averages:
10 EMA
20 EMA
50 EMA
200 EMA
800 EMA
The shorter-period EMAs respond more quickly to recent price movement and can help assess momentum and pullbacks, while the longer-period EMAs provide broader trend context and potential areas of dynamic support and resistance.
VWAP calculates the session's volume-weighted average price, providing an intraday reference based on both traded price and volume.
These calculations are displayed together because they provide two different forms of market context:
EMAs – Trend direction across multiple time horizons.
VWAP – Volume-weighted session value.
When an EMA and VWAP are trading near the same price area, the overlap can provide additional confluence when analysing pullbacks, dynamic support, dynamic resistance or broader market structure. Confluence alone should not be considered a trading signal.
Features
10, 20, 50, 200 and 800-period EMAs
Optional VWAP display
Individual visibility controls for each EMA
Customisable colours
Adjustable EMA and VWAP line widths
Price cross alerts for every EMA
Price cross alerts for VWAP
Configurable EMA/VWAP confluence tolerance
Confluence alerts for the 50, 200 and 800 EMAs
Alert Conditions
The indicator includes alert conditions for:
Price crossing above or below each EMA
Price crossing above or below VWAP
The 50 EMA entering the selected VWAP proximity range
The 200 EMA entering the selected VWAP proximity range
The 800 EMA entering the selected VWAP proximity range
The confluence tolerance is percentage-based so it adapts to instruments with different price scales. A confluence alert is triggered when an EMA first enters the configured proximity range around VWAP rather than on every bar while it remains within that range.
Alerts always follow the chart symbol and timeframe selected when the alert is created.
Intended Use
This indicator is designed to provide visual context for:
Trend direction
Pullbacks within a trend
Dynamic support and resistance
Session value
EMA and VWAP confluence
Multi-timeframe market analysis
It does not generate automatic entries, exits or standalone buy or sell signals. It is intended to complement price action, market structure and sound risk management rather than replace them.
Markets
The indicator can be applied to all PulseWire-supported markets, including:
Forex
Indices
Commodities
Cryptocurrencies
Equities
VWAP behaviour depends on the instrument's available volume data and trading session structure.
Disclaimer
This indicator is provided free of charge for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users remain responsible for their own analysis, trading decisions and risk management.
Created by Market Sniper HQ
Trade Like a Sniper, Not Like the Crowd.
Indicator
Bitcoin Power Law Corridor (Santostasi)This macro indicator plots the Bitcoin Power Law Corridor, based on the renowned mathematical model popularized by astrophysicist Giovanni Santostasi and researcher HC Burger. Unlike traditional financial models that rely on human assumptions (like the failed Stock-to-Flow model), the Power Law is a scientific theory based on organic network growth, similar to structures found in physics and biology.
Bitcoin does not grow exponentially forever; instead, it follows a sub-exponential growth curve with diminishing relative returns but massive absolute gains. This script tracks that exact path and resolves a common limitation in PulseWire by using advanced time-based trendlines to project the bands into the empty future canvas.
How the Math Works
The indicator calculates the fair value of Bitcoin using the time elapsed since the Genesis Block (January 3, 2009) raised to a specific power (exponent n ≈ 5.845).
This growth pattern mimics two fundamental natural laws:
1. Kleiber's Law (Biology): Demonstrates that as living organisms grow larger, their energy efficiency increases scalingly. Similarly, the Bitcoin network becomes more robust and stable as it grows.
2. Urban Scaling Laws (Cities): Cities like Rome or New York grow organically according to a power law. Because millions of people freely choose to interact within them, they compound over centuries without a single point of failure. Bitcoin's price chart directly mirrors this organic network density.
The Three Structural Bands
On a Logarithmic scale, this indicator displays three vital structural milestones:
Blue Line (Fair Value): The mathematical median and fundamental fair price of Bitcoin based on Metcalfe's Law (network effects) and global adoption.
Green Dashed Line (The Floor): The ultimate macro defense line (calculated around the P10 percentile). Historically, Bitcoin has never closed a weekly candle below this hard floor. It serves as the ultimate long-term accumulation zone.
Red Dashed Line (The Ceiling): The overextension/bubble band. When price approaches this line, the market is historically overextended (e.g., 2013 and 2017) and highly risky.
Key Features of this Script
Future Projection: Standard PulseWire lines stop at the current live bar. This script bypasses that limitation using line.new segments, allowing you to drag the chart to the left and view the exact mathematical support and resistance targets for 2028, 2034, and beyond.
Fully Customizable: You can tweak the Genesis date, change the power law exponent, or adjust the log-offsets for the floor and ceiling bands in the settings menu.
CRITICAL INSTRUCTION
This indicator MUST be viewed on a Logarithmic Scale (LOG) .
Click the 'LOG' button in the bottom-right corner of your PulseWire chart.
On a standard linear scale, the bands will be completely distorted and unusable.
Best viewed on the Daily (1D) or Wekely (1W) timeframe. Indicator
BEDROCK Gated Macro Spot Cycle ModelBEDROCK condenses several independent long-term Bitcoin valuation models into a single transparent 0–100 score, then maps that score onto a seven-tier ladder running from deep value to cycle-top risk — with capitulation and euphoria gates that hold back the two most common false signals at each extreme. It is built for spot investors making multi-month and multi-year allocation decisions, not for short-term trading.
The reference card below shows how to read the model and how each tier behaves:
█ WHAT IT DOES
BEDROCK answers one question: where does price sit inside its macro cycle right now? Rather than a single oscillator, it scores a basket of slow-moving valuation measures, normalizes each to a common 0–100 "cheap → expensive" scale, blends them into a weighted composite, and classifies the result into an actionable tier with a suggested accumulation or distribution size. A higher composite means greater long-term value and lower risk; a lower composite means the market is stretched and risk is rising.
█ HOW IT WORKS
The composite is built from four independent blocs, any of which can be reweighted or disabled:
Trailing cost-basis bloc — price relative to the 200-week SMA, the 2-year SMA, and the 200-day SMA (Mayer Multiple). These three are deliberately collapsed into a single averaged, bounded factor so the moving-average family is represented once and cannot dominate the score through collinearity.
Drawdown from all-time high — how far price has fallen from its peak. The heaviest-weighted leg by default.
Weekly RSI — long-term momentum, as secondary confirmation.
MVRV Z-Score (optional) — an on-chain valuation leg you can enable and feed from an external source.
Each metric is mapped to 0–100 through its own linear calibration between a deep-value anchor and an expensive anchor, so every leg speaks the same language before being combined. Weights are auto-renormalized over whatever blocs are actually available — so the model stays coherent on early history where the 200-week isn't yet populated, or when MVRV is turned off. It simply reweights the parts it has.
█ THE TWO GATES — THE CORE IDEA
A raw valuation score has two classic failure modes: it screams "generational buy" on the first leg down of a bear market, and it screams "top" every time price gets mildly extended. BEDROCK addresses both with directional gates that only ever cap the tier toward the middle — they never fabricate a signal, and they never block the core accumulate or trim reads.
Capitulation gate (bottom) — the two deepest tiers stay locked until the market shows genuine capitulation. Generational requires a large drawdown from the all-time high (or a deeply negative MVRV-Z); Deep Accumulation requires price at or below its 200-week basis. Until then the score is capped at Accumulation, so you keep buying value without prematurely committing everything.
Euphoria gate (top) — the two riskiest tiers stay locked until multiple independent overheating signs agree across the 200-week multiple, weekly RSI, the Mayer Multiple, and MVRV-Z. Euphoria requires at least one confirmation; Cycle Top requires at least two. This is what stops the model from calling a top on every rally.
Because both gates only cap toward neutral, accumulation signals are never suppressed and trim signals are never suppressed. The gates restrain only the extreme calls, and only until the evidence is actually there.
█ READING THE INDICATOR
Composite line — the 0–100 score, colored by its current tier.
Background — shaded by tier for at-a-glance cycle context.
Threshold lines — the tier boundaries.
Markers — gated triangles mark transitions into accumulation tiers (up) and distribution tiers (down).
Data table — live composite, current tier, suggested action, both gate states, and every underlying metric (200W and 2Y multiples, Mayer, drawdown, weekly RSI, MVRV).
█ THE SEVEN TIERS
Generational Value — extremely rare deep value; aggressive accumulation.
Deep Accumulation — excellent value; size up.
Accumulation — good value; keep building.
Neutral / Hold — fairly valued; hold.
Expensive / Trim — above fair value; begin scaling out.
Euphoria / Distribute — high risk; distribute and protect profit.
Cycle Top / Exit — extreme; high-probability macro top.
Each tier also outputs a suggested DCA-in or trim-out multiplier, so the signal is sized rather than binary.
█ HOW TO USE IT
Use it on Bitcoin spot or index charts such as BITSTAMP:BTCUSD or $BINANCE:BTCUSDT.
Weekly is the primary timeframe; daily works as a secondary view.
Accumulate through tiers 1–3, hold in tier 4, scale down in tiers 5–6, and treat tier 7 as exit territory.
Built-in alerts fire on entry into each accumulation and distribution tier (gated).
█ WHAT MAKES IT ORIGINAL
BEDROCK is not a single valuation ratio dressed up as an oscillator. The combination is the point: a transparent additive composite over independent metrics, a deliberate collinearity fix that collapses the moving-average family into one bounded bloc, a dual directional-gate system that suppresses the two most common false signals at both extremes without ever blocking the core reads, and sized accumulate/trim output instead of a bare number. Every metric, weight, calibration anchor, and gate threshold is exposed as an input, so the entire model is auditable and tunable — nothing is hidden.
█ NOTES & LIMITATIONS
BEDROCK is a long-horizon valuation tool, not a precise top/bottom timer and not a short-term trading system. It is designed to keep you positioned in the statistically favorable portion of the cycle, not to nail exact turns. Several display themes are included. This script is for educational purposes only and is not financial advice — size your own risk and do your own research. Indicator
Dynamic Gravity Attractor (DGA) [MarkitTick]💡 An advanced technical indicator designed to identify, weight, and visualize significant price zones using a physics-inspired gravitational model. By treating historical price pivots as physical masses that exert gravitational pull on the current price, this tool dynamically highlights levels of high structural importance. This offers traders a unique, quantitative perspective on support, resistance, and the overarching market equilibrium based on continuous volume and touch data.
✨ Originality and Utility
Unlike standard static support and resistance indicators that simply draw horizontal lines at arbitrary swing highs and lows, this system introduces a dynamic, weighted engine based on volume execution and touch frequency.
Traditional indicators often clutter the chart with dozens of obsolete lines. This tool resolves the issue by clustering proximate price levels using an Average True Range based spatial resolution. This synthesizes fragmented levels into cohesive, highly actionable Gravity Zones.
The core utility lies in its ability to quantify the relative strength of these zones using a gravitational constant. Instead of merely sorting by recency, it sorts by actual structural pull. This allows traders to cleanly distinguish between minor intraday speed bumps and major macroeconomic price attractors that have a high probability of influencing future price routing.
🔬 Methodology and Concepts
The script operates on a robust foundation of interconnected logical pillars, ensuring a precise reading of historical market structure:
• Pivot Detection and Clustering: The indicator identifies standard non-repainting pivot highs and lows using a defined lookback window. Instead of plotting each pivot individually and causing chart noise, it evaluates if a new pivot falls within an existing cluster radius. This radius is dynamically determined by a user-defined percentage of the 14-period Average True Range. If a match is found, the cluster aggregate price, volume, and touch count are updated using a volume-weighted average formula.
• Mass Calculation: Each clustered zone is assigned a quantitative mass. This mass is a blended metric derived from the total trading volume transacted at that specific level and the frequency of price touches it has endured. Users can dynamically adjust the weighting of these two components to favor volume-heavy execution levels or frequently tested psychological levels.
• Gravitational Pull: Applying a concept directly akin to classical physics, the indicator calculates the gravitational force of each active zone relative to the current closing price. The formula incorporates the zone calculated mass, a user-defined Gravitational Constant, and the inverse square of the absolute distance between the zone and the current price.
• Net Force and Equilibrium: By aggregating the gravitational pull of all active zones above the current price and subtracting the zones below, the script calculates a continuous Live Net Force. This net force dictates the overall directional bias of the underlying market structure.
🎨 Visual Guide
The tool provides a rich, multi-layered visual experience, utilizing dark-mode optimized palettes to allow traders to interpret complex market structures at a rapid glance:
• Gravity Zone Lines: Horizontal lines representing the clustered price levels. The strongest mathematical attractor is plotted with a solid line, while weaker zones use dashed line styles to indicate secondary importance. The thickness of the line directly correlates with its top-ranking status.
• Zone Colors: Levels situated above the current price are colored in a visual gradient from vibrant purple to deep violet, representing resistance or overhead gravity. Levels situated below are colored in a gradient from yellow to dark orange, representing support or underlying gravity. The color intensity and opacity scale dynamically with the calculated mass of each zone.
• Gravity Fields (Halos): Semi-transparent background boxes surrounding the strongest top-ranked gravity zones. The vertical height of the box represents the zone mathematical sphere of influence, calculated using the true range and the zone specific mass.
• Gravity Center: A distinct dotted cyan line plotting the weighted center-of-mass between the strongest overhead attractor and the strongest underlying attractor. This acts as the market current fulcrum.
• Dynamic Labels: Textual tags attached to the right of the gravity lines. These indicate the exact price level, an arrow denoting if the force is pushing up or down, and a percentage representing its gravitational strength relative to the maximum active zone.
• Heatmap Candles: The main chart candles are recolored based on the Live Net Force. A bullish bias paints the candles in a specific underlying color, while a bearish bias paints them in an overhead color. Border and wick colors adapt similarly to show micro-shifts in pressure.
• Gravity Dashboard: A comprehensive on-chart data table displaying the active number of tracked levels, the exact prices of the top upper and lower attractors, the Net Force bias, the current cluster size, and a visual block-bar representation of the highest active mass percentage.
📖 How to Use
• Trend Identification: Observe the Heatmap Candles and the Net Force metric on the Gravity Dashboard. A sustained bullish color bias suggests the price is being pulled upward by a stronger overhead attractor or violently pushed from a massive underlying support base. Traders should look to align their directional trades with this dominant net force.
• Targeting and Exits: Use the strongest Gravity Zone Lines as primary profit targets or areas to scale out of positions. Because these zones possess high mass, price tends to inevitably gravitate toward them over time.
• Entry Confirmation: Wait for the price to enter a Gravity Field. If price action demonstrates rejection patterns, long wicks, or volume anomalies within these specific halo zones, it provides a high-probability entry for mean-reversion trades.
• Equilibrium Trading: The Gravity Center line represents a literal point of balance between the primary opposing structural forces. Observing the price crossing, retesting, and holding this level can indicate a fundamental shift in structural control from sellers to buyers, or vice versa.
• Automated Alerts: The script includes built-in alert conditions for when the price comes within a tight proximity to the strongest above or below zones. It also fires alerts when the overall Net Force shifts direction. All alerts and webhooks are constructed as strictly formatted JSON strings designed for flawless third-party execution, dynamically calculating and including the Entry Price, the precise Take Profit target, and the exact Stop Loss invalidation price.
⚙️ Inputs and Settings
• History Depth (bars): Determines how far back in time the script looks to evaluate active pivots. A higher number tracks long-term macro zones, while a lower number focuses on immediate intraday structure.
• Number of Gravity Zones: Limits the maximum number of attractor lines drawn on the chart to prevent visual clutter.
• Level Cluster Resolution (ATR%): Controls how closely pivots must be to merge into a single, heavier zone. A higher value aggregates more historical levels together, creating fewer but stronger zones.
• Gravitational Constant G: A mathematical multiplier that scales the overall gravity calculations. Adjusting this tweaks the sensitivity of the Net Force output.
• Mass Components (Volume & Touch Weight): Fractional sliders allowing the user to adjust whether a zone mass is more heavily derived from transacted volume or the sheer number of times the price has historically tested the level.
• Minimum Touch Count: The baseline number of times a price level must be tested before it is officially registered as having enough mass to generate gravity.
• Visual Settings: Comprehensive toggles to independently turn lines, text labels, halo fields, the dashboard table, and center-of-gravity boxes on or off according to individual visual preference and chart cleanliness. All colors are fully user-configurable without hardcoding.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The tool borrows directly from classical mechanics, specifically the law of universal gravitation, to mathematically model financial market microstructure. In standard physics, the attractive force of gravity between two independent objects is directly proportional to the product of their masses and inversely proportional to the square of the distance between their centers.
In the context of this script, the current market closing price acts as a dynamic point mass navigating a static field of larger, stationary masses, representing the historical support and resistance clusters. The script operationalizes this concept by calculating Mass as a composite statistical index of cumulative trading volume and historical test frequency. Volume acts as the density of the price level, representing committed capital and trapped liquidity, while touch frequency represents the psychological reinforcement and memory of the level among market participants.
By rigidly utilizing the inverse square law of distance, the indicator mathematically guarantees that nearby price levels exert exponentially more influence on current price action than distant levels. This accurately reflects the highly localized nature of market liquidity, order book depth, and slippage. Furthermore, the clustering algorithm employs a dynamic threshold based on Average True Range, introducing a volatility-normalized spatial resolution. This specific mechanism ensures that the radius of a mass point expands in highly volatile environments and contracts in tight consolidations, strictly adhering to established principles of adaptive signal processing, robust statistical smoothing, and dynamic time warping.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
VWAP SAR Magnitude Filter [Gabremoku]VWAP SAR Magnitude Filter
Short description
A state-based long-only trend filter that combines VWAP context with Parabolic SAR structure. It uses VWAP as the main trend and invalidation line, while SAR confirms directional pressure and helps visualize momentum expansion or compression.
Descrizione completa
VWAP SAR Magnitude Filter is a long-only overlay designed to turn two familiar tools, VWAP and Parabolic SAR, into a cleaner operational framework rather than a simple indicator mashup.
The script uses VWAP as the primary market context and invalidation line. When price is above VWAP, the market is treated as having bullish intraday or swing context. When price falls back below VWAP, that context weakens and the script can trigger an exit.
Parabolic SAR is not used here as the primary exit engine. Instead, it acts as a structural confirmation tool. A valid long setup requires price to be above VWAP while SAR remains below the candle, which helps align directional bias and price structure. This reduces the number of signals that would appear if VWAP or SAR were used independently.
The script also includes an Auto mode engine. In Auto mode, lower intraday timeframes are handled with faster behavior, while higher timeframes are treated as swing conditions with additional filters. This makes the indicator adapt its sensitivity without requiring constant manual switching.
In Swing mode, the script becomes more selective by requiring:
persistence of the long condition for a minimum number of bars,
a minimum distance between price and SAR,
confirmed exit behavior below VWAP,
a longer cooldown after exits.
This approach is intended to reduce noise and avoid frequent re-entries during unstable or sideways phases. The indicator is therefore more focused on readable continuation structure than on generating many raw signals.
How it works
Long context: Price above VWAP.
Long confirmation: Parabolic SAR below the candle.
Long entry: The bullish context and structural confirmation align.
Exit logic: Main exit occurs on VWAP fallback; in Swing mode the fallback can require confirmation across multiple bars.
Mode engine: Auto selects Intraday or Swing behavior depending on the chart timeframe.
Visual features
VWAP line as the main reference level.
SAR line and glow for directional structure.
Magnitude fill between price and SAR to visualize pressure expansion and compression.
Optional bar coloring.
Dashboard with State, Mode, Regime, Flow, Distance %, SAR Side, and Exit Logic.
How to use it
This indicator works best when price is developing directional structure away from VWAP. In strong trends, it can help frame cleaner long continuation behavior. In choppy or sideways markets around VWAP, noise is naturally higher because the market lacks clear directional context.
A practical way to use it is:
monitor whether price is holding above VWAP,
wait until SAR is also positioned below price,
use the dashboard to confirm the current regime and state,
treat VWAP fallback as the main warning that the active long structure may be weakening.
Limitations
This indicator is not meant to eliminate all noise, especially in lateral environments where price oscillates around VWAP. In those conditions, repeated context shifts are part of market behavior, so no VWAP-based trend tool can remove all false transitions. The script is designed to reduce that noise, not to make it disappear completely.
It is also a context and structure tool, not a complete trading system. Users should still evaluate market conditions, liquidity, session behavior, and personal risk management before making decisions. Indicator
Indicator
Kalman Flow Market Screener [NICK789]Kalman Flow Market Screener
Kalman Flow Market Screener is a multi-symbol dashboard built around a Kalman-based adaptive trail engine. It scans up to 20 user-selected tickers and displays BULL/BEAR trend state, fresh flips, flip-risk warnings, trend strength, volume flow, relative volume, session timing, higher-timeframe alignment, and possible trade-ready conditions.
This script is designed as a market scanner and decision-support tool. Its purpose is to reduce chart-hopping and help traders quickly identify which symbols may deserve attention.
It is not intended to be a standalone buy/sell system. Entries, exits, stop losses, take profits, and position sizing should still be handled by the trader’s own trading plan.
Core concept
The screener is built around a Kalman Flow Trail engine that combines:
* Fast and slow Kalman filtering
* Market structure impulse
* Adaptive smoothing
* ATR-based trail boundaries
* BULL/BEAR trail direction
* Flip-risk proximity logic
* Volume-flow strength scoring
* Relative volume filtering
* Session-based trade window scoring
* Optional higher-timeframe alignment
How the Kalman Flow engine works
The script first calculates a fast and slow Kalman estimate of price.
The fast Kalman reacts more quickly to price movement, while the slow Kalman acts as a smoother confirmation reference.
The engine also tracks small market-structure breaks using pivot-based structure logic. When price breaks above a recent structure high, it creates a bullish structure impulse. When price breaks below a recent structure low, it creates a bearish structure impulse.
These structure impulses are smoothed into a structure bias and structure activity reading.
The Kalman trail then adapts using:
* Kalman direction
* Kalman agreement between fast and slow estimates
* Structure bias
* Structure activity
* ATR-based movement
* Adaptive smoothing
The result is a dynamic Kalman flow line that responds more when structure is active and stays smoother when the market is quieter.
ATR boundaries are built around the Kalman flow basis. A BULL state is confirmed when price breaks above the upper flow boundary. A BEAR state is confirmed when price breaks below the lower flow boundary.
Once a BULL or BEAR state is established, the trail follows on the opposite side of price. This creates a directional trail similar in purpose to a trend-following stop, but driven by Kalman smoothing, structure bias, and ATR boundaries.
What makes this screener different
This screener is not only checking whether price is above or below a moving average.
It combines Kalman filtering, structure movement, ATR trail logic, flow strength, relative volume, timing conditions, and optional higher-timeframe agreement into one table.
The goal is to answer a practical scanning question:
Which markets are trending, which markets recently flipped, and which markets are worth checking now?
What the table shows
TICKER
The selected symbol being scanned.
TF
The timeframe being scanned.
DIR
The current confirmed BULL or BEAR Kalman Flow direction.
AGE
How long ago the most recent confirmed flip occurred.
STR
Trend strength score based on ATR distance and supportive flow.
FLOW
Estimated volume-flow delta during the active trend.
MTF
Optional higher-timeframe agreement status.
HEAT
Quick trend state label such as Fresh, Hot, Warm, Active, Cold, or Flip Risk.
ATR
Distance between price and the Kalman trail in ATR units.
RVOL
Current volume compared to its volume baseline.
WINDOW
Session and volume-based timing score.
ACTION
Simplified status such as Wait, Watch, BULL Setup, BEAR Setup, Low Vol, Bad Time, Extended, or RSI Hot.
How the filters work together
Trend direction
The Kalman Flow Trail defines whether each symbol is currently in a BULL or BEAR state.
Fresh flip detection
The screener highlights symbols that recently changed from BEAR to BULL or from BULL to BEAR.
Flip-risk warning
The script can warn when price is pressing close to the opposite flow boundary before a confirmed flip. This is a caution state, not a confirmed signal.
Trend age
The script tracks how old the current trend is. This helps separate fresh movement from older, more mature trends.
Trend delta flow
The script estimates buy/sell pressure using candle direction and volume. Up candles contribute to buy volume, down candles contribute to sell volume, and neutral candles are split. This creates a simple volume-flow reading for the current trend.
Trend strength
The strength score combines ATR distance from the Kalman trail with whether volume flow supports the active direction. Stronger movement with supportive flow receives a higher score.
Relative volume
RVOL compares current volume to its moving average baseline. This helps identify whether the current move is happening with above-normal or quiet activity.
Trade window score
The trade window score combines London/New York session timing with relative volume. More active periods and stronger RVOL receive higher scores, while quieter periods receive lower scores.
Higher-timeframe filter
The optional higher-timeframe filter allows traders to focus only on symbols where the selected higher timeframe agrees with the current BULL/BEAR direction.
Action status
The action column combines fresh flip status, RVOL, ATR distance, RSI condition, trade window score, and warning state into one simple readout.
Display modes
All 20 Trend States
* Shows selected tickers and their current Kalman Flow state.
* Useful for general market monitoring.
* Best when traders want a full watchlist overview.
Fresh Signals Only
* Shows only recent flips and optional flip-risk warnings.
* Useful when traders only want to see symbols that may need attention now.
* Helps reduce table noise.
Timeframe behaviour
For best accuracy, use a chart timeframe equal to or lower than the selected screener timeframe.
Examples:
* A 15-minute screener works best on a 15-minute chart or lower.
* A 1-hour screener works best on a 1-hour chart or lower.
* A daily screener can be viewed from intraday charts.
If the chart timeframe is higher than the selected screener timeframe, the script displays a timeframe warning and uses the chart timeframe as a fallback.
This fallback is included to avoid misleading lower-timeframe data when Pine cannot fully process every lower-timeframe bar from a higher-timeframe chart.
Alerts
The script includes PulseWire alert conditions for:
* BULL flip
* BEAR flip
* Any confirmed flip
* BULL trade-ready setup
* BEAR trade-ready setup
* Any trade-ready setup
* BULL flip-risk warning
* BEAR flip-risk warning
* Any flip-risk warning
* Master alert
For dynamic ticker messages, create an alert using PulseWire’s “Any alert() function call” option. This allows the alert message to include the symbols that triggered during the confirmed bar.
Suggested workflow
1. Choose the screener timeframe.
2. Select up to 20 symbols.
3. Choose All 20 Trend States or Fresh Signals Only.
4. Check the ACTION column for BULL Setup, BEAR Setup, Watch, or Wait.
5. Review RVOL and WINDOW to see whether the market is active.
6. Review FLOW and STR to check whether the move has supportive pressure.
7. Use MTF alignment if higher-timeframe filtering is enabled.
8. Open the individual chart before making any trade decision.
9. Apply your own entry, stop loss, take profit, and risk management rules.
Important notes
* BULL and BEAR flips are confirmed Kalman Flow direction changes.
* Flip-risk warnings are early caution states, not confirmed entries.
* The action column is a decision-support label, not financial advice.
* RVOL and window scoring measure activity and timing conditions, not future direction.
* Higher-timeframe filtering can reduce signals and may filter out early moves.
* This script is designed for scanning and filtering, not guaranteed trade execution.
Disclaimer
This indicator is for educational and informational purposes only. It is not financial advice. Traders should test the script on their own markets and timeframes, use proper risk management, and make independent trading decisions.
Indicator
Trend Tracker Market Screener [NICK789]Trend Tracker Market Screener
Trend Tracker Market Screener is a multi-symbol trend dashboard designed to scan up to 20 user-selected tickers from one table. It helps traders monitor trend direction, fresh trend flips, flip-risk warnings, trend strength, volume flow, relative volume, session timing, and possible trade-ready conditions.
This script is built as a market scanner, not a standalone buy/sell system. Its purpose is to reduce chart-hopping and help traders quickly find which symbols deserve attention.
Core concept
The screener is built around a custom Trend Tracker engine that combines:
* EMA-based trend basis
* ATR-based upper and lower bands
* Supertrend-style trailing logic
* Confirmed trend flip detection
* Volume-flow confirmation
* Relative volume filtering
* Session-based trade window scoring
* Optional higher-timeframe alignment
How the Trend Tracker engine works
* The script first calculates an EMA-based centre line.
* In Scalp mode, the faster EMA is used for a more reactive tracker.
* In Trend mode, the tracker uses smoother fast/slow EMA logic for more stable trend tracking.
* ATR bands are built above and below the EMA basis.
* A bullish trend state is confirmed when price breaks above the previous upper ATR band.
* A bearish trend state is confirmed when price breaks below the previous lower ATR band.
* Once direction is set, the tracker trails on the opposite side of price until the opposite band condition is broken.
* Fresh LONG and SHORT flips are detected when the confirmed tracker direction changes.
What the screener displays
The table is designed to give a fast market overview:
* TICKER: selected symbol
* TF: timeframe being scanned
* DIR: current confirmed LONG or SHORT trend state
* AGE: how long ago the latest confirmed flip occurred
* STR: trend strength score
* FLOW: estimated trend-volume delta
* MTF: optional higher-timeframe alignment
* HEAT: quick state label such as Fresh, Hot, Warm, Active, Cold, or Flip Risk
* ATR: distance between price and tracker in ATR units
* RVOL: current volume compared to its volume baseline
* WINDOW: session and volume-based trade window score
* ACTION: simplified status such as Wait, Watch, Long Setup, Short Setup, Low Vol, Bad Time, Extended, or RSI Hot
How the filters work together
This screener is not a random combination of indicators. Each component answers a specific part of the market-scanning process:
* Trend direction shows whether a symbol is currently bullish or bearish.
* Fresh flip logic shows when a new confirmed trend change has happened.
* Flip-risk warning shows when price is pressing near the opposite ATR band before a confirmed flip.
* Trend age helps separate new trends from older trends.
* Trend delta flow estimates whether volume pressure supports the active trend.
* Trend strength combines ATR distance and supportive flow into one strength score.
* RVOL shows whether current activity is above or below normal volume.
* Trade window score uses London/New York session timing and RVOL to judge whether market conditions are more active or quiet.
* Higher-timeframe filter can be used to focus only on symbols aligned with a selected larger timeframe.
* Action status combines the main conditions into one simple readout.
Display modes
All 20 Trend States
* Shows the selected tickers and their current trend state.
* Useful for general watchlist monitoring.
Fresh Signals Only
* Shows only recent flips and optional flip-risk warnings.
* Useful when traders only want to see symbols that may need attention now.
Timeframe behaviour
For best accuracy, use a chart timeframe equal to or lower than the selected screener timeframe.
Examples:
* A 15-minute screener works best on a 15-minute chart or lower.
* A 1-hour screener works best on a 1-hour chart or lower.
* If the chart timeframe is higher than the selected screener timeframe, the script displays a timeframe warning and uses the chart timeframe as a fallback.
This fallback is included to avoid misleading lower-timeframe data when Pine cannot fully process every lower-timeframe bar from a higher-timeframe chart.
Alerts
The script includes PulseWire alert conditions for:
* LONG flip
* SHORT flip
* Any confirmed flip
* LONG trade-ready setup
* SHORT trade-ready setup
* Any trade-ready setup
* LONG flip-risk warning
* SHORT flip-risk warning
* Any flip-risk warning
* Master alert
For dynamic ticker messages, create an alert using PulseWire’s “Any alert() function call” option. This allows the alert message to include the symbols that triggered during the confirmed bar.
Suggested workflow
1. Select the screener timeframe.
2. Add up to 20 symbols.
3. Choose All 20 Trend States or Fresh Signals Only.
4. Check the ACTION column for Long Setup, Short Setup, Watch, or Wait.
5. Review RVOL and WINDOW to see whether the market is active.
6. Review FLOW and STR to check whether trend pressure supports the move.
7. Use MTF alignment if higher-timeframe filtering is enabled.
8. Open the individual chart before making any trade decision.
Important notes
* Fresh flips are confirmed tracker direction changes.
* Flip-risk warnings are caution signals, not confirmed entries.
* The action column is a decision-support label, not financial advice.
* The trade window score measures activity and timing conditions, not future direction.
* The higher-timeframe filter may reduce signals and can filter out early moves.
* This script is designed for scanning and filtering, not guaranteed trade execution.
Disclaimer
This indicator is for educational and informational purposes only. It is not financial advice. Traders should test the script on their own markets and timeframes, use proper risk management, and make independent trading decisions.
Indicator
Bitcoin Statistical Forecaster + Power Law [Gabremoku]Bitcoin Statistical Forecaster + Power Law combines two analytical layers into a single BTC-focused overlay.
The first layer is a statistical analog forecaster. It scans historical Bitcoin data and searches for the closest matches to the most recent pattern using a weighted multi-feature distance model based on candle structure, volatility, momentum, trend distance, and structural position relative to the Bitcoin power-law range.
The second layer is a long-term Bitcoin power-law framework built from three structural curves: Floor, Mid-Stair, and Fair Value. These curves are plotted directly from the power-law formula and are not altered by the forecasting engine.
The script is not a simple mashup of two unrelated tools. The power-law layer is used as structural context inside the forecaster itself: it contributes to analog selection, regime comparison, optional forecast anchoring, and optional probability adjustment. The goal is to make historical pattern matching more aware of where price is located inside Bitcoin’s broader long-term structure.
How the forecast works:
The script compares the latest pattern against historical BTC windows.
It keeps the best analogs according to the selected similarity method.
These analogs are separated into Bull, Central, and Bear groups using the final return at the selected forecast horizon.
For each step in the projection, each scenario path is built from the weighted average of its own analog group, so the paths remain internally coherent instead of mixing bullish and bearish trajectories.
An optional structural bias can softly pull projected prices toward the power-law range over time. This effect fades in progressively across the forecast horizon, so near-term projections are not abruptly distorted.
Scenario probabilities are derived from the same percentile thresholds used to build the Bull, Central, and Bear paths. This keeps the displayed percentages aligned with the projected paths shown on the chart.
The script is designed for daily Bitcoin charts and works best when enough historical data is available. It is a probabilistic context tool, not a prediction guarantee, and it should be used together with risk management and independent market analysis.
Suggested usage:
Use the power-law curves to identify long-term structural position.
Use the forecast paths to estimate how similar historical BTC conditions evolved.
Compare current price location, structural regime, and scenario probabilities before forming a directional bias.
Treat the output as a contextual model, not as a standalone trading signal. Indicator
Gabremoku CloudsGabremoku Clouds is a volume-driven equilibrium cloud built to highlight fair-value zones, directional acceptance, and compression/expansion phases in a cleaner and more forward-looking way than traditional cloud indicators. Instead of using classic Ichimoku spans or standard deviation bands, this script builds its structure around a custom volume-weighted equilibrium line and a surrounding cloud whose width is based on Volume-Weighted Average Spread (VWAS). The result is a cloud that reacts not only to price movement, but also to how price is distributed under volume, making it useful for reading consensus, imbalance, and market acceptance.
A key idea behind this indicator is that not all price movement has the same meaning. When volume concentrates inside a tighter range, the cloud compresses and signals balance or consensus. When price expands with broader spread and weaker concentration, the cloud widens and reflects uncertainty or directional transition. This gives the indicator a different purpose from standard volatility envelopes: it is designed less as a generic overbought/oversold tool and more as a market structure and equilibrium map.
The script also includes a 26-period forward projection of the equilibrium cloud. This projected area is calculated from current and historical information only, then shifted forward visually to provide a future reference zone without using lookahead logic. Its purpose is not to predict price in an absolute sense, but to suggest where balance may migrate next if the current slope and cloud conditions remain consistent.
What it helps identify
Trend acceptance when price holds above or below the cloud with supporting volume.
Fair-value reclaims when price rotates back into equilibrium after displacement.
Squeeze-to-expansion transitions when the cloud compresses and then releases into directional movement.
Exhaustion when price reaches a fresh extreme while volume momentum decelerates.
How to use it
Use the current cloud to judge whether price is trading in balance, in directional acceptance, or in transition.
Use the projected cloud as a forward reference area for continuation, reversion, or future balance.
Treat the signals as contextual tools, not standalone trade instructions. They work best when combined with price structure, market context, and risk management.
What is new
Gabremoku Clouds is not a mashup of existing tools. Its core logic is built around a custom equilibrium model that combines volume-weighted price location with volume-weighted spread behavior, then extends that structure into a forward cloud projection. The goal is to give traders a more informative cloud: one that reflects where value is forming now, how stable that value is, and where it may shift next. Indicator
CVD X-Ray
CVD X-Ray
See the Participation Behind the Move
Most indicators tell you what price is doing.
CVD X-Ray is designed to reveal who is participating behind the move.
Price can rally on weak participation.
Price can decline despite aggressive buying.
Price can appear strong while participation quietly deteriorates beneath the surface.
CVD X-Ray was built to expose these hidden shifts in market participation by combining cumulative volume delta pressure, momentum acceleration, participation normalization, and multi-timeframe alignment into a single visual framework.
Rather than focusing solely on market structure, CVD X-Ray focuses on participation pressure—the intensity and direction of buying and selling activity driving the current move.
What Makes CVD X-Ray Different?
Traditional volume indicators often struggle with context.
A large reading may appear important on one chart while being completely normal on another.
CVD X-Ray solves this by normalizing participation pressure and classifying it into intuitive strength categories:
Weak
Building
Moderate
Strong
Extreme
This allows traders to quickly distinguish between routine activity and meaningful participation events.
Pressure vs Trend
One of the most common mistakes traders make is confusing participation with trend.
A market can be trending lower while buyers suddenly begin participating aggressively.
Likewise, a market can be trending higher while participation quietly weakens beneath the surface.
CVD X-Ray intentionally measures participation pressure rather than market structure trend.
This distinction can help identify potential continuation opportunities, weakening moves, failed breakouts, and early signs of accumulation or distribution.
Strength and Rarity
Each reading is evaluated based on both participation strength and historical context.
The optional percentile ranking (PCT) provides additional insight into how unusual the current participation reading is relative to recent market behavior.
For example:
P80 = Stronger than 80% of recent readings
P95 = Stronger than 95% of recent readings
This helps traders quickly recognize when participation is becoming statistically significant.
Designed for Clarity
CVD X-Ray was built around a simple goal:
Reduce information overload while increasing informational value.
The interface uses a consistent strength scale, visual participation hierarchy, and clean multi-timeframe dashboard to deliver actionable context without cluttering the chart.
Whether you're analyzing breakouts, pullbacks, reversals, or trend continuation setups, CVD X-Ray provides a structured view of the participation driving price.
Because understanding what price is doing is useful.
Understanding who is participating behind the move is often more valuable.
Disclaimer
CVD X-Ray is an analytical tool designed to assist in evaluating market participation and participation pressure. It does not predict future price movements and should not be used as a standalone basis for trading decisions.
All trading involves risk, including the potential loss of capital. Past performance, historical participation readings, and indicator signals are not guarantees of future results.
This script is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. Users are solely responsible for their own risk management and trading decisions. Indicator
Indicator
Indicator
Multi MA Framework [Gabremoku]Multi MA Framework is a flexible multi-moving-average overlay built for traders who want a clean and fully customizable MA workspace directly on the chart.
The indicator lets you plot up to four independent moving averages, each with its own:
visibility toggle
length
MA type
color
This makes it useful for traders who want to combine fast and slow averages, compare SMA vs EMA behavior, or build a personalized trend framework without loading multiple separate indicators.
What it shows
📈 Up to 4 Moving Averages — each line can be configured independently and displayed only when needed.
⚙️ SMA or EMA per line — choose the moving average type separately for each MA. SMA gives equal weight to all values in the period, while EMA gives more weight to recent prices and typically reacts faster to change.
🏷️ End Labels — optional right-side labels show each MA name, type, and length.
☁️ Cloud Fills — optional fills between:
MA 1 / MA 2
MA 3 / MA 4
These clouds help visualize alignment and separation between faster and slower averages.
Core idea
This script is designed as a moving average framework, not a rigid strategy.
Moving averages are commonly used to:
identify trend direction
smooth noisy price action
monitor dynamic support and resistance
compare short-term and long-term market structure
By allowing different lengths and SMA/EMA choices on every line, the script makes it easy to create your own structure, for example:
fast trend stack
swing trend map
long-term bias model
crossover-based workflow
How to use
A practical way to use the framework is to combine shorter and longer averages.
For example:
a shorter MA can track immediate momentum
a medium MA can define swing direction
a longer MA can define higher-level trend bias
When multiple moving averages align in the same direction, traders often interpret that as stronger trend structure. Crossovers between faster and slower averages are also widely used to monitor possible trend shifts, although they are lagging by nature.
Example setups
Here are some common ways this framework can be configured:
Trend stack: 10 EMA / 20 EMA / 50 EMA / 200 SMA
Swing trader view: 20 EMA / 50 SMA / 100 SMA / 200 SMA
Minimal structure: show only 2 lines and enable one cloud
Cross comparison: use SMA on one line and EMA on another with the same or similar length to compare responsiveness
Because EMA reacts faster and SMA is smoother, combining both can help balance responsiveness and stability.
Features
✅ Up to 4 fully independent moving averages
✅ SMA or EMA selection for each line
✅ Custom length for each MA
✅ Custom color for each MA
✅ Visibility toggle for every line
✅ Adjustable line width
✅ Optional right-side end labels
✅ Optional MA1/MA2 cloud fill
✅ Optional MA3/MA4 cloud fill
✅ Clean chart overlay design
Notes
This indicator is best used as a custom trend structure tool rather than a standalone signal engine. Moving averages are inherently lagging indicators, so they are most effective when used to define context and trend bias rather than predict reversals on their own.
Author: Gabremoku
Pine Script v6 Indicator
Aquila Reale Macro Dashboard PRO v1.7🦅 AQUILA REALE — MACRO DASHBOARD PRO
"Born to fly, born to dare"
A complete macro overview in a single table, with automatic interpretation of each asset's impact on Gold price and a final ACTIONABLE trade signal that resolves conflicts intelligently between macro tailwinds and price-action reality.
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📊 WHAT IT SHOWS
═══════════════════════════════════════════
For each of 12 macro assets, the dashboard displays:
- Current value (live intraday)
- Daily change %
- Auto-interpreted status (e.g. "VERY STRONG", "HIGH FEAR", "STAGFLATIONARY")
- 🥇 Gold impact (green = pro-Gold, red = anti-Gold, gray = neutral)
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📋 ASSETS COVERED (12 + 2 derived)
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US MACRO:
- DXY (Dollar Index)
- US10Y / US20Y / US30Y (Treasury yields)
- USIRYY (CPI Inflation YoY)
- S5TH (S&P 500 stocks above 200dma — market breadth)
ASIA:
- USDJPY (Yen strength)
- NI225 (Nikkei 225)
- HSI (Hang Seng Index)
SENTIMENT:
- VIX (CBOE Volatility Index — fear gauge)
GLOBAL:
- URTH (iShares MSCI World ETF)
GEOPOLITICAL:
- USDCNH (Offshore Chinese Yuan)
COMMODITIES:
- XAUUSD (Gold spot)
- USOIL (WTI Crude Oil spot)
DERIVED:
- Gold/Oil ratio (with historical valuation reading)
- Macro Scenario (synthesis of WTI level + Gold direction + yields)
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🎯 FINAL SYNTHESIS (3 dedicated rows)
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💬 SCENARIO — One of 6 macro readings:
• STAGFLATIONARY (yield squeeze, no Gold longs)
• GOLD HEDGE ACTIVE (inflation trade pro-Gold)
• RISK-OFF (cautious flight-to-safety)
• REFLATIONARY (broad pro-Gold)
• RISK-ON (anti-Gold)
• MIXED (no clear regime)
💎 MACRO BIAS — Aggregate score (±13) across all assets
🎯 TRADE SIGNAL — Final actionable verdict combining BIAS + SCENARIO:
• 🚀 LONG STRONG / ▲ LONG OK
• ⚠️ LONG CAUTIOUS
• ⏸️ WAIT (yield squeeze / mixed signals)
• 🛑 NO LONG / STAY OUT / SHORT BIAS
═══════════════════════════════════════════
🧠 KEY LOGIC INNOVATION
═══════════════════════════════════════════
Equity indices (NKY/HSI/URTH) only count as pro-Gold when VIX > 22 (true flight-to-safety). This prevents the dashboard from misreading a "bonds beat all" regime as pro-Gold — a common flaw in naive aggregations.
The TRADE SIGNAL row resolves the inevitable conflicts between macro bias (what "should" happen) and price action (what's actually happening), using a priority hierarchy where the SCENARIO has veto power over the BIAS score.
═══════════════════════════════════════════
📺 3 VIEW MODES
═══════════════════════════════════════════
- FULL: complete 19-row dashboard
- MINIMAL: only the 3 synthesis rows (SCENARIO + BIAS + SIGNAL)
- COMPACT: only the TRADE SIGNAL (1-line ticker)
Switch on-the-fly via settings — all modes use the same underlying calculations.
═══════════════════════════════════════════
⚙️ CUSTOMIZATION
═══════════════════════════════════════════
- Dark / Light theme
- 9 anchor positions + signed offsets (H/V)
- 4 text sizes (Tiny / Small / Normal / Large)
- Real-time refresh (lookahead_on for intraday)
═══════════════════════════════════════════
⚠️ IMPORTANT DISCLAIMER
═══════════════════════════════════════════
This indicator is for informational and educational purposes only and does not constitute financial advice. Macro readings are simplified models — always combine with your own analysis, risk management, and price action.
NOT suitable for backtesting strategies due to lookahead_on usage (which is intentional for real-time intraday monitoring).
Past performance does not guarantee future results.
═══════════════════════════════════════════
🦅 Born to fly, born to dare. Indicator
Tension Flow Trend [BigBeluga] - Historical RRTension Flow Trend is a high-performance trend-following framework that treats price action like a reactive elastic system. By moving beyond static averages, this indicator introduces "Price Tension"—a sophisticated measurement of how overstretched a trend is relative to its baseline—now enhanced with a live Historical RR (Risk:Reward) backtesting engine.
By combining the ultra-low-lag properties of the Hull Moving Average (HMA) with real-time Z-Score volatility analysis, this indicator visualizes not just the direction of the market, but the mathematical "exhaustion" of every move.
🔵 THE ELASTICITY FRAMEWORK
The Ultra-Responsive HMA Baseline: At the heart of the system is a 50-period Hull Moving Average. Specifically engineered to eliminate the lag found in traditional SMAs, the HMA provides a "true north" that reacts instantly to structural shifts without the usual delay.
Price Tension (Z-Score Engine): The indicator measures the vertical distance between price and the HMA, normalizing it using standard deviation. This Z-Score represents the "Tension" of the trend—showing you exactly when the market has deviated too far from its mean.
Dynamic Transparency Feedback: As price enters an extreme Z-Score range, the trend ribbon’s transparency increases. A bright, solid ribbon indicates compressed, high-probability energy, while a fading ribbon warns that the "elastic band" is stretched to its limit.
🔵 PERFORMANCE & RISK INTELLIGENCE
Automated RR Projection: Upon every "START" signal, the script automatically plots dynamic Risk:Reward boxes. It calculates an ATR-based stop loss and projects a take-profit target based on your custom RR ratio, visualizing the trade's path in real-time.
Rolling Performance Tracker: The indicator features a built-in backtester that tracks the win/loss history of the most recent trades. It calculates your Win Rate based on a rolling sample size, allowing you to see how the strategy is performing under current market conditions.
Signal Cooldown Logic: To eliminate "whipsaw" noise, a configurable cooldown engine ensures that signals only trigger during significant structural shifts. This prevents signal clustering in sideways or choppy markets.
🔵 DUAL-DASHBOARD SYSTEM
Energy Monitor (Bottom-Right): Tracks the numerical Z-Score and categorizes the market status. "Strong" indicates healthy momentum, while "Overextended" warns of an imminent mean-reversion risk.
RR Performance Table (Top-Right): Provides an institutional-grade breakdown of your strategy performance, including total Wins, Losses, and the current Win Rate percentage for the specified trade window.
🔵 STRATEGIC APPLICATION
The Momentum Breakout: Look for "START" labels that appear when the HMA slope aligns with a price crossover. These represent the birth of a new trend cycle where tension is low and expansion is likely.
Managing Trend Exhaustion: When the ribbon begins to fade and the Energy Dashboard hits "Overextended," it is time to tighten stops or take partial profits. High tension usually precedes a sharp snap-back to the baseline.
Confirming with Win Rate: Use the Performance Dashboard to gauge market regime. If the rolling Win Rate is high, the market is respecting the trend envelopes; if it drops, the market may be entering a consolidation phase where you should wait for better alignment.
Mean Reversion Targets: For contrarian traders, the HMA baseline serves as a natural "magnet." When price is significantly overextended, look for price to be pulled back into the HMA "Neutral Zone."
Tension Flow Trend transforms your chart into a map of market stress and opportunity. By visualizing the tension behind every candle and providing real-time performance feedback, it ensures you stay on the right side of the trend while trading with professional-grade risk management. Indicator
Liquidity Vacuum Recovery Map [AGPro Series]Liquidity Vacuum Recovery Map
🧠 Core Idea
Did price leave a liquidity vacuum, and is the market repairing that vacuum or rejecting the repair attempt?
📌 Overview / What it does
Liquidity Vacuum Recovery Map is a price-action visualization tool built to study displacement, imbalance, liquidity void behavior, and repair progress after a strong directional candle.
The script identifies high-quality displacement candles, builds an active vacuum zone from the body of that move, tracks how deeply price revisits the zone, measures repair progress, highlights rejection risk, and summarizes the full recovery context inside a compact AG Pro panel.
It does not predict future price, automate trades, or claim that every vacuum must be filled. It is a structured map for reading whether a thin participation area is still open, partially repaired, fully repaired, or being rejected.
🎯 Purpose & Design Philosophy
Many traders can see a fast displacement move after it happens.
The harder question is what comes next:
Is the market repairing the move, respecting the void, or rejecting the return into that area?
This script was built to answer that question visually. It helps traders read imbalance recovery, repair quality, rejection pressure, and next-context conditions without turning the chart into a generic signal board.
⚡ Why This Script Is Different
Most liquidity void tools focus on drawing static gaps, imbalance boxes, or historical void areas.
This script does NOT treat a vacuum as a passive rectangle on the chart.
Instead, it tracks the life cycle of the vacuum after displacement: creation, first repair, half repair, full repair, and rejection risk. The focus is not only where the vacuum is. The focus is whether the market is actively repairing it or refusing to repair it.
⚙️ Methodology
1. Displacement Detection
The script reviews candle range expansion, candle body commitment, close drive, and volume participation to identify a meaningful displacement candle.
2. Vacuum Zone Mapping
When the displacement qualifies, the script builds a vacuum zone from the strongest portion of the candle body. Bullish displacement leaves a repair zone below price. Bearish displacement leaves a repair zone above price.
3. Repair Progress Tracking
The script tracks how far price penetrates back into the active vacuum zone and converts that movement into a repair progress percentage.
4. Rejection Evaluation
If price enters the zone but moves away before full repair, the script evaluates whether the repair attempt is being rejected.
5. Quality Scoring
Vacuum quality combines range expansion, body commitment, close drive, and volume participation into a 0-100 score.
6. Visual Output
The chart displays the active vacuum zone, repair progress fill, midpoint reference, right-side repair tags, event labels, alerts, and a compact AG Pro decision panel.
🗺️ How to Read the Chart
Liquidity Vacuum Zone = the thin participation area left behind by a strong displacement candle.
Repair Progress Fill = the portion of the vacuum that price has already revisited.
VAC HIGH / VAC LOW = the active upper and lower boundaries of the vacuum zone.
REPAIR tag = the current repair progress score on the right side of the chart.
VACUUM OPEN = a qualified vacuum exists, but repair has not meaningfully started.
REPAIRING = price has started revisiting the vacuum zone.
REPAIR COMPLETE = price has repaired most or all of the active vacuum.
REJECTION RISK = price entered the vacuum zone but moved away before full repair.
Panel = summarizes vacuum state, quality score, vacuum type, repair progress, rejection risk, target zone, and next context.
🚦 Signals & States
• BULL VACUUM LEFT → bullish displacement created a vacuum below price.
• BEAR VACUUM LEFT → bearish displacement created a vacuum above price.
• REPAIR START → price has started entering the active vacuum zone.
• REPAIR HALF → price has repaired at least half of the active vacuum zone.
• REPAIR COMPLETE → price has repaired most or all of the active vacuum zone.
• REPAIR REJECTION → price entered the vacuum zone but rejected away before full repair.
🔔 Alerts Logic
Alerts can trigger when a qualified vacuum is created, repair starts, half repair is reached, full repair is reached, or repair rejection 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 a high-quality displacement candle creates a clear vacuum, price revisits the zone, repair progress reaches a meaningful threshold, and rejection risk remains low.
The context becomes weaker when the vacuum is old, repair progress is incomplete, and price repeatedly rejects away from the zone.
📊 When to Use
• After strong displacement candles
• During imbalance and liquidity void analysis
• Around fast breakout or breakdown moves
• When evaluating whether a move is being repaired
• When studying continuation versus retracement behavior
• On liquid markets where candles and volume are meaningful
⚠️ When NOT to Use
• In extremely low-liquidity markets
• During highly erratic news candles
• On symbols with unreliable volume data
• When price is moving in tiny noisy candles without displacement
• As a standalone buy or sell system
🎛️ Key Inputs
• Minimum Displacement Range → controls how large a candle must be relative to average range.
• Minimum Body / Range → controls how committed the displacement candle body must be.
• Minimum Close Drive → controls how strongly the candle must close toward its direction.
• Vacuum Zone Body Share → controls how deep the vacuum zone is drawn inside the displacement body.
• Repair Start / Half / Complete Percent → controls the repair progress thresholds.
• Rejection Buffer ATR → controls how far price must move away before rejection risk is detected.
• Projection Bars → controls how far the active zone extends to the right.
• Label and Panel Font Size → controls chart readability.
🖥️ Interface & Visual Design
The visual design is built around one active story:
Where is the vacuum, how much of it has been repaired, and what is the current repair state?
The zone creates the main map, the repair fill shows progress, right-side tags keep the structure readable, event labels mark important moments, and the AG Pro panel summarizes the decision context.
🧪 Practical Usage Workflow
1. Read the panel first.
2. Check whether the script shows an active vacuum.
3. Review the vacuum quality score.
4. Look at repair progress.
5. Check whether rejection risk is low, medium, or high.
6. Use the vacuum boundaries as context areas, not automatic trade levels.
7. Confirm the broader market structure independently.
🔍 Interpretation Guidelines
A vacuum left behind by strong displacement can remain open for a long time.
Repair progress means price has revisited part of the zone.
Full repair means the active vacuum has mostly been revisited.
Rejection risk means the market attempted to repair the zone but moved away before completing the repair.
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 that price will fill a vacuum.
It does not guarantee continuation after rejection.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Vacuum detection depends on candle behavior, volatility, volume, and timeframe.
Different timeframes may show different vacuum structures.
Some markets repair quickly, while others leave open void areas for long periods.
Volume-based scoring may be less reliable on symbols with incomplete or synthetic volume.
High volatility can create visually large zones that should be interpreted with extra caution.
🧠 Market Context Notes
Liquidity vacuums are most useful when interpreted as participation gaps rather than guaranteed magnets.
A repaired vacuum can signal that the market revisited a prior thin area.
A rejected vacuum can signal that the market respected the displacement path and refused deeper repair.
The best interpretation comes from combining vacuum context with structure, volatility, liquidity, and higher-timeframe conditions.
🧾 Use Case Examples
When price leaves a strong bullish displacement candle and later returns into the vacuum zone, traders can monitor whether repair progress increases smoothly or gets rejected near the upper part of the zone.
When price leaves a strong bearish displacement candle and later returns into the vacuum zone, traders can monitor whether the market fully repairs the move or rejects back below the zone.
When repair progress reaches half repair but rejection risk rises, the active context may become more fragile.
🧱 System Philosophy
Liquidity Vacuum Recovery 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 what the market is doing more clearly.
🔐 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, 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 displacement, liquidity vacuum behavior, repair progress, and rejection context.
The most valuable output is not a single label.
The value is the full map: vacuum, repair, rejection, quality, and next context.
Indicator
Market PressureMarket Pressure — Description & Usage
Market Pressure is a normalized oscillator designed to characterize whether buying or selling pressure is dominating the market, and how persistent that pressure is over time. It does not attempt to predict price or generate signals. Instead, it measures the consistency of directional behavior by combining where price closes within each bar, the strength of the candle body, the level of volume participation, and alignment with trend. These components are smoothed and scaled into a range between -100 and +100, allowing the user to quickly assess who is in control and how strong that control is relative to recent conditions.
Values above zero indicate net buying pressure, while values below zero indicate net selling pressure. The most important region is the neutral zone around zero, defined by the user, which represents a balanced market where neither side has clear control. When the histogram remains within this neutral range, price action is typically rotational and prone to false moves. When the indicator moves and sustains itself outside of that range, it reflects a shift toward directional control. Strong readings toward the extremes suggest persistent and coordinated pressure, often associated with trend continuation rather than random movement.
This indicator is best used as a contextual filter rather than an entry tool. When Market Pressure is positive and holding above the neutral boundary, it suggests focusing only on long opportunities and avoiding shorts. When it is negative and holding below the neutral boundary, the opposite applies. When it is inside the neutral zone, the most effective action is often to stand aside, as the market lacks a dominant participant. The behavior of the histogram also provides insight into the quality of a move. Expanding values indicate strengthening pressure, while contracting values suggest that the dominant side may be losing control.
Because the indicator is normalized using a rolling lookback window, all readings are relative to recent history rather than fixed absolute levels. This allows it to adapt across different markets and timeframes, but also means that extremes represent the strongest pressure observed within that window, not an absolute threshold. The result is a flexible tool that highlights when the market is trending with conviction, when it is losing momentum, and when conditions are best avoided altogether. Indicator
Market Structure Trend Matrix [BigBeluga]Market Structure Trend Matrix is a comprehensive technical analysis framework engineered for traders who demand precision in identifying market regimes and trend expansions. By integrating automated Market Structure (MS) detection with volatility-adjusted risk parameters, this indicator provides a systematic roadmap for navigating complex price action.
The tool focuses on the Change of Character (ChoCh) —the critical moment when a previous trend structure breaks and a new directional bias begins.
🔵 ARCHITECTURE & CORE LOGIC
Automated Structure Mapping: The engine uses a sophisticated pivot-detection algorithm (MS Length) to scan for institutional-grade swing highs and lows. It ignores minor retail noise, drawing structural lines only when significant supply or demand zones are breached.
The ChoCh Engine: When price crosses a recent pivot high or low, the indicator prints a "ChoCh" label. This represents a fundamental shift in market sentiment, signaling that the current trend has likely terminated and a new cycle has begun.
Infinite Expansion Targets: One of the most advanced features of the Matrix is its ability to project sequential, infinite targets. These levels are not static; they are calculated using Average True Range (ATR) multipliers, meaning they expand and contract based on current market volatility.
Volatility-Anchored Trailing Stop: To ensure professional-grade risk management, the indicator plots a dynamic ATR Trailing Stop . This line acts as a "ratchet" mechanism—it moves closer to price during the trend expansion but stays firm during minor pullbacks, providing a clear exit point if the trend truly fails.
🔵 ADVANCED FEATURES & UPDATES
Target History Control: This latest version includes a Show History toggle. You can choose to keep the chart clean by only displaying the Active Target , or you can enable history to see a visual record of every target hit during the trend, complete with historical percentage labels.
Dynamic Trailing Stop Visibility: The Show Trailing Stop feature allows you to toggle the visibility of the ATR stop line and its associated background fill, giving you full control over the visual "weight" on your workspace.
Percentage Profit Labels: Every time price reaches an expansion target, the script automatically plots a label showing the percentage gain from the initial ChoCh entry point.
Volatility-Adjusted Spacing: Both the trailing stop and the target steps use ATR-based calculations. This ensures that the indicator remains effective across all asset classes—from volatile Cryptocurrencies to stable Forex pairs.
🔵 HOW TO INTERPRET THE MATRIX
Bullish State (Green Matrix): Activated when price breaks above a major Pivot High. The indicator projects upward expansion targets and maintains a trailing stop below the price.
Bearish State (Pink Matrix): Activated when price breaks below a major Pivot Low. The indicator projects downward targets and maintains a trailing stop above the price.
The Target Cascade: As price hits a target, the indicator instantly projects the next level. If price continues to expand, you will see a "cascade" of dashed lines, each representing a deeper extension into the trend.
🔵 APPLICATION IN TRADING
Scalping & Day Trading: Set the Market Structure Length to a lower value (e.g., 5-8) to capture fast intraday pivots and expansion moves on 1m or 5m charts.
Swing Trading: Use a higher length (e.g., 15-20) to identify macro structure shifts on Daily or H4 timeframes, allowing the ATR targets to guide your long-term profit-taking.
Risk-Reward Management: The distance between the ChoCh Entry and the ATR Trailing Stop provides an objective risk measurement, while the sequential targets provide clear reward milestones.
Filtering False Breaks: By using an ATR Multiplier for the trailing stop, the Matrix avoids many of the common "whipsaws" found in standard trend-following systems.
🔵 CONCLUSION
Market Structure Trend Matrix is more than a signal tool; it is a visual framework for objective decision-making. By anchoring your trading to structural pivots and volatility-based targets, you remove the guesswork from trend following. Whether you are looking for a clean "ChoCh" entry or a systematic way to trail your profits during a massive expansion, the Trend Matrix provides the data and clarity required to trade like a professional. Indicator
BTC MTF Engulfing Flip Strategy (1H, 2X)BTC Flip Bot V1 — MTF Engulfing + SL-Flip (BTCUSDT 1H 2×)
Author: Jagadeesh Manne
Version: V1 — first public release (April 2026)
A multi-timeframe trend-following strategy with SL-flip extension for BTC perpetual futures.
⚠️ IMPORTANT: This strategy is tested and validated ONLY on BTCUSDT perpetual futures | 1H timeframe | 2× leverage. Do not apply to other pairs, timeframes, or leverage settings without independent testing.
⚠️ PulseWire's chart timeframe affects how this strategy calculates. A red banner appears if the chart is not set to 1H — set the top-left TF to "1h" explicitly for results to match the published backtest.
⚠️ PulseWire free/basic accounts cache only a limited number of bars (5K–20K). The TV backtest you see will cover only the most recent window of the full 6.5-year test. See the "Full backtest" section below for the authoritative Python numbers.
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HOW IT WORKS
Three timeframes must align simultaneously on a single 1H bar before a trade is taken:
🔹 DAILY — Trend Regime
Close > 50-period EMA for longs (below for shorts). Macro trend safety gate — rejects ~50% of all signals that would trade against the dominant trend.
🔹 4H — Momentum Confirmation
RSI(14) > 50 for longs (below for shorts). Medium-term momentum alignment.
🔹 1H — Entry Trigger (all 5 must be true on the same bar)
• RSI(14) > 45 for longs / < 55 for shorts
• MACD(12,26,9) line above/below signal line
• Bullish or Bearish engulfing candle (body > prior body) — the core trigger
• ATR(14) above 50-period average (volatility expanding)
• Volume above 1.5× 20-period SMA (participation spike)
Only ~1% of all engulfing candles pass all 7 filters across a 5-year period. This extreme selectivity is the edge.
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STOP LOSS & PARTIAL TP
Main SL: Pattern-based (min of entry bar low + prior bar low, with 0.1% buffer). Capped at 2.5% from entry. Whichever is tighter wins.
Partial TP (tuned April 2026):
• At +6R favorable move, 15% of position closes
• After partial TP, SL moves to entry + 0.1% (break-even + fee buffer)
• Remaining 85% continues running with BE stop — captures fat-tail winners while protecting locked-in profit
Why 15%@6R (not 30%@5R)? Grid-search on 5yr data showed this variant lifts CAGR +11 percentage points vs the previous 30%@5R partial, because a small partial lets the runner portion capture the full fat-tail move when a trend plays out.
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SL-FLIP EXTENSION
When main SL hits, the strategy queues an opposite-direction flip trade:
• Waits 1 hour after SL hit (lets whipsaw settle)
• Opens opposite direction with TIGHT 1.5% SL (vs main 2.5%)
• SL placed at swing high/low from last 10 bars OR 1.5% cap from broken SL — whichever is tighter
• No flip-on-flip cascade (prevents revenge trading)
• 24-hour time-stop on flip positions
• Flips respect DD halt + generic post-exit cooldown
Flip trades add a meaningful contribution over the non-flip baseline while keeping max drawdown unchanged.
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EXIT RULES
• Stop Loss hit → close (triggers flip if not already a flip)
• Partial TP at +6R → close 15%, SL moves to BE+0.1%, rest runs
• Opposite direction signal → close only (no flip-open on signals, only on SL)
• Flip time-stop at 24h → close
• Drawdown circuit breaker: -25% from peak halts all trading for 7 days
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RISK MANAGEMENT
• 2× leverage (tested at this level only)
• Position sizing: notional = equity × leverage (deploys full leverage on each trade)
• 24h same-direction cooldown after SL hit
• 2h generic post-exit cooldown (any direction)
• -25% drawdown halt pauses trading for 7 days
• Flip trades use tighter SL (1.5%) + 24h time-stop
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FULL BACKTEST (Python, Binance futures historical data)
Period: September 2019 — April 2026 (~6.5 years)
Starting capital: $5,000
Leverage: 2×
Results (V1 with latest tuning: 15%@6R partial + BE+0.1% + SL-flip):
Start → Final: $5,000 → $181,943 (+3,539%)
CAGR: +105.3%
Max DD: -19.7%
Profit Factor: 4.63
Win Rate: 41.9% (31W / 43L)
Total Trades: 74 (~15/yr) — 38 Long, 36 Short, 9 of which were flips
SL hits: 40
DD halts triggered: 0
Tuning history (each change validated on 5yr data):
• Baseline V5 (no flip): +89% CAGR, PF 4.24, 43 trades
• V6 + SL-flip: +97% CAGR, PF 4.20, 79 trades (flips add more trade opportunities)
• V6 + BE-move after partial TP: PF 4.20 → 4.29 (kills runner-giveback)
• V6 + 15%@6R partial: CAGR 97% → 105%, PF 4.29 → 4.63 (current)
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WHY TRADINGVIEW RESULTS DIFFER FROM PUBLISHED NUMBERS
Two reasons:
1. Bar history limit — PulseWire loads a finite number of bars for strategy calculation. Free and basic plans only cover ~6–14 months of 1H data. The chart date header shows the full visible range, but the strategy only computes on the loaded bars. Premium plans load more history but usually still less than 6.5 years.
2. Indicator warmup — the Daily EMA50 filter needs ~50 daily bars (~2 months) of warmup data before producing stable values. Python skips the first 100 bars explicitly; Pine Script does not.
For production-accurate numbers, use the Python backtest values above. For a feel of the strategy's pattern, the TV preview is fine as an indication.
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WHAT TO EXPECT
This is NOT a high-frequency strategy:
• ~15 trades per year including flip trades
• Median wait between main signals: 7–10 days
• Longest historical quiet gap: ~2 months
• ~55% of trades stopped out (by design — fat-tail capture)
• Average winner >> average loser (each win is ~5–8× an average loss)
• Requires patience — extended quiet periods are normal, not a malfunction
• Fat tails matter: a few mega-winners (10%+ single trades) drive most of the CAGR
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SETTINGS (all configurable with tooltips)
Risk Management:
• Leverage: 2× (tested only at this level)
• Risk per trade: 1% (used for dashboard display)
• DD halt: -25% for 168 hours (7 days)
Stop Loss:
• SL max: 2.5% cap
• SL buffer: 0.1%
Partial Take Profit:
• TP trigger: 6R (sweep-verified peak)
• TP close: 15% of position
• SL-to-BE buffer after partial: 0.1% (kills runner-giveback)
Entry Filters:
• RSI long/short zones: 45 / 55
• Engulf body multiplier: 1.0× (any-size engulfing)
• ATR MA length: 50
• Volume SMA length: 20
• Volume spike ratio: 1.5×
Cooldowns:
• Same-dir SL cooldown: 24h
• Generic post-exit cooldown: 2h
SL-Flip:
• Enabled by default
• Flip wait: 1h
• Flip SL cap: 1.5%
• Swing lookback: 10 bars
• Flip time-stop: 24h
Visuals:
• Clean view toggle (default ON — hides dashboard for publishing)
• Daily EMA50 line toggle
• Timeframe advisory banner (red warning if chart TF ≠ 1H)
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DISCLAIMER
• Past performance does not guarantee future results. Backtests can overfit, especially after extensive parameter tuning.
• Live performance will differ from backtest due to real slippage, partial fills, exchange latency, and market regime shifts.
• PulseWire free/basic accounts show a limited window; the authoritative full backtest is Python + Binance archives.
• This strategy is designed for experienced traders who understand leverage, futures trading, stop losses, drawdown risk, and position sizing.
• Small sample size (74 trades over 6.5 years) means regime changes could meaningfully degrade performance. A flat 3–6 month period is not a strategy failure.
• The strategy depends on fat-tail winners. Missing one or two large trends can halve expected CAGR.
• 2× leverage amplifies both gains AND drawdowns. Use capital you can afford to lose entirely.
• Not financial advice — use at your own risk.
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CHANGELOG
V1 (April 2026 — first public release):
• Multi-timeframe entry: Daily EMA50 + 4H RSI + 1H (RSI + MACD + Engulfing + ATR + Volume)
• Pattern-based SL with 2.5% cap
• Partial TP: 15% at +6R (small partial for maximum fat-tail capture)
• SL-to-BE move after partial TP (kills runner-giveback)
• SL-flip extension: opposite-direction entry after SL hit with tight 1.5% SL
• 24h same-direction cooldown + 2h generic cooldown
• -25% DD halt for 7 days
• Clean-view toggle for minimal chart display
• Timeframe-mismatch advisory banner
Strategy
Indicator
Multi-Asset SuperTrend Map [BigBeluga]🔵 OVERVIEW
Multi-Asset SuperTrend Map is a comparative market-structure visualization tool that displays multiple assets side-by-side using a unified SuperTrend framework.
Instead of switching charts or stacking indicators, this tool compresses several markets into a single view, allowing traders to instantly assess trend direction, volatility alignment, and volume pressure across assets.
Each asset is reconstructed as a scaled synthetic candle stream, aligned to the current chart’s volatility, and overlaid with its own SuperTrend logic.
🔵 CORE CONCEPT
SuperTrend as Regime Filter — Each asset uses the same ATR-based SuperTrend logic to determine bullish or bearish state.
Volatility Normalization — Assets are scaled using ATR ratios so high-price and low-price symbols can be compared visually on one chart.
Synchronized Time Axis — All assets are plotted on the current chart timeframe, enabling true bar-to-bar comparison.
Trend + Delta Context — In addition to trend direction, the indicator aggregates directional volume (delta) to reveal participation strength.
🔵 CALCULATION & LOGIC
1. SuperTrend Engine
The indicator uses PulseWire’s native SuperTrend calculation:
= ta.supertrend(factor, atrPeriod)
ATR Length controls volatility smoothing.
ATR Factor defines band width and trend sensitivity.
Trend direction is binary:
Bullish when price is above the SuperTrend line.
Bearish when price is below the SuperTrend line.
2. Multi-Asset Scaling Logic
Each external symbol is fetched using request.security() .
ATR is calculated both on the chart symbol and the external symbol.
A scaling coefficient is derived:
chart ATR ÷ symbol ATR
// --- compute scale factor on SAME timeframe
atrChart = ta.atr(200)
atrSym2 = request.security(sym, timeframe.period, ta.atr(200))
k = atrSym2 != 0.0 ? atrChart / atrSym2 : 1.0
All OHLC values are remapped so different assets share a comparable vertical range.
3. Synthetic Candle Reconstruction
Each asset is redrawn using:
Vertical lines for wicks
Thick lines for candle bodies
Candle color logic:
Trend-based (SuperTrend direction) if enabled
Otherwise standard bullish/bearish candle logic
4. SuperTrend Mapping
The SuperTrend line for each asset is remapped and drawn as a polyline.
This allows trend curvature and regime shifts to be compared visually across symbols.
5. Delta Volume Aggregation
Directional volume is accumulated:
Volume added when close > open
Volume subtracted when close < open
Delta is displayed per asset, showing whether bullish or bearish participation dominates.
🔵 VISUAL STRUCTURE
Each asset is wrapped inside a bounding box representing its full recent range.
Background color reflects current trend direction (bullish or bearish).
Asset label displays:
Symbol name
Current price
Trend direction arrow (▲ / ▼)
Delta volume is displayed beneath the asset block for flow context.
⚠️MARKET SESSION BEHAVIOR
On lower timeframes (e.g. 1m–12h), traditional stock markets are closed during weekends .
During these periods, price data may appear as flat or static candles with minimal or no movement.
This is expected behavior and reflects the absence of active trading, not a calculation error.
Crypto markets remain unaffected and continue updating normally.
🔵 HOW TO USE
Compare trend alignment across correlated markets (e.g., BTC vs ETH).
Identify relative strength when one asset trends while others stall.
Use delta volume to confirm whether trends are supported by participation.
Spot early divergence when price trends align but delta disagrees.
Combine with higher-timeframe structure or liquidity tools for execution.
🔵 CONCLUSION
Multi-Asset SuperTrend Map transforms SuperTrend from a single-market indicator into a cross-market decision framework .
By normalizing volatility, synchronizing time, and adding volume delta context, it enables traders to evaluate trend quality, alignment, and participation across assets — all from one chart.
This makes it especially powerful for crypto pairs, index baskets, and correlated markets where relative behavior matters as much as absolute price direction. Indicator
