EMA Ribbon Trend Filter [StrixEDGE]EMA Ribbon Trend Filter is a multi-layered trend analysis system built around a triple EMA ribbon (8/21/55) enhanced with squeeze detection, a composite momentum score, multi-timeframe confluence, and dynamic slope-adaptive coloring.
This is not another moving average overlay. It is a full trend diagnostics dashboard designed to answer five questions at a glance: what is the trend, how strong is it, how long has it been running, is the ribbon compressing toward a breakout, and do higher timeframes agree.
🔹 CORE CONCEPT
Three exponential moving averages — fast (8), mid (21), and slow (55) — form a visual ribbon on the chart. When the EMAs stack in order (fast > mid > slow), the trend is bullish. When they invert, the trend is bearish. Anything else is a transitional state labeled neutral.
The ribbon is more than directional. The distance between the fastest and slowest EMA (the "spread") measures trend strength as a percentage, and the rate at which the ribbon expands or contracts reveals momentum shifts before price confirms them.
🔹 WHAT MAKES THIS DIFFERENT
Most EMA ribbons stop at direction and color. This indicator adds four analytical layers that standard ribbons lack:
▸ Ribbon Squeeze Detection
The indicator continuously measures ribbon width against its own moving average. When the three EMAs converge below a configurable threshold (default: 30% of average width), the ribbon turns yellow and the dashboard flags an active squeeze. Compression precedes expansion — a squeeze ending often marks the start of a directional move. Dedicated markers appear on the chart when a squeeze releases into a bullish or bearish trend.
▸ Composite Momentum Score (0–100)
A single number synthesizing four components, each weighted equally at 25 points:
— EMA alignment: full bullish or bearish stack scores 25, mixed scores 0
— Slope agreement: all three EMAs rising or all falling scores 25, partial agreement scores 12
— Spread strength: scaled between 0–25 based on where the current spread falls relative to the user-defined weak and strong thresholds
— Price position: price above the ribbon in a bullish trend (or below in bearish) scores 25, inside the ribbon scores 10, on the wrong side scores 0
The score is color-coded: cyan (80+), teal (60–79), orange (40–59), red (below 40).
▸ Dynamic Slope-Adaptive Colors
When enabled, each EMA line independently changes color based on its own slope — rising EMAs render green, falling EMAs render red. This provides an early visual warning when individual EMAs begin to flatten or turn, even while the overall stack remains intact. A bullish stack where the slow EMA has turned red is a qualitatively different signal than one where all three are green.
▸ Multi-Timeframe Dashboard
A built-in table displays trend state, spread, and grade across five timeframes simultaneously: the current chart timeframe plus 15-minute, 1-hour, 4-hour, and daily. The active chart timeframe is marked with ► in the MTF rows if it matches one of the fixed timeframes. A confluence row at the bottom counts how many timeframes are bullish versus bearish and outputs a directional bias: Strong Bull (4–5 aligned), Bull Lean (3), Neutral (mixed), Bear Lean (3 bearish), or Strong Bear (4–5 bearish).
🔹 CROSSOVER SIGNAL HIERARCHY
Not all EMA crossovers carry equal weight. The indicator differentiates three tiers with distinct marker sizes and shapes:
▸ Fast × Mid (tiny triangles) — Early signal. The 8 EMA crossing the 21 EMA indicates short-term momentum shift. Frequent, noisy, best used as an alert rather than a trigger.
▸ Fast × Slow (standard triangles) — Confirmation signal. The 8 EMA crossing the 55 EMA has more significance and filters out minor pullbacks.
▸ Mid × Slow (diamonds) — Trend shift signal. The 21 EMA crossing the 55 EMA typically marks a genuine change in trend direction. This is the least frequent and most reliable crossover in the set.
All crossover markers can be toggled off independently.
🔹 DASHBOARD COMPONENTS
The top-right dashboard (position and size adjustable) contains:
Row 1 — TREND: Current trend state (▲ Bullish / ▼ Bearish / ◆ Neutral) with bar count showing how long the trend has been active.
Row 2 — ZONE: Where price sits relative to the ribbon (Above / Inside / Below) alongside the momentum score out of 100.
Row 3 — SQUEEZE: Active squeeze status with a visual strength bar (██████░░░░) showing current spread intensity relative to its recent range.
Rows 4–9 — MTF OVERVIEW: Trend, spread, and grade for the current chart, 15m, 1H, 4H, and 1D timeframes.
Row 10 — BIAS: Multi-timeframe confluence verdict with bull/bear count.
🔹 SETTINGS
EMA Settings
▸ Fast / Mid / Slow EMA Period — Default 8/21/55. Periods must be in ascending order.
▸ Source — Close, Open, High, Low, HL2, HLC3, or OHLC4.
Overlay Settings
▸ Background Transparency — Controls the intensity of the trend-colored chart background (0–99).
▸ Crossover Signals — Toggle the three-tier crossover markers.
▸ Ribbon Fill — Toggle the colored fill between EMA lines. Fill turns yellow during active squeeze.
▸ Dynamic EMA Colors — Toggle slope-based EMA coloring (green = rising, red = falling).
▸ Bar Coloring — Optional candle coloring by trend state and price position. Off by default.
▸ Squeeze Detection — Toggle squeeze markers and dashboard squeeze status.
Dashboard
▸ Table Size — Tiny, Small, Normal, or Large.
▸ Table Position — 8 positions (corners, centers, sides).
Thresholds
▸ Weak/Strong spread thresholds (%) — Define what constitutes a weak, moderate, or strong trend spread. These should be adjusted per asset class (e.g., lower for forex, higher for crypto).
▸ Squeeze Lookback — Number of bars used to calculate the average ribbon width for squeeze detection.
▸ Squeeze Ratio — The compression threshold. A ribbon narrower than this ratio × average width triggers a squeeze flag.
🔹 ALERTS
Nine configurable alert conditions:
▸ Bullish / Bearish EMA Crossover (any tier)
▸ Mid × Slow Bullish / Bearish Shift
▸ Bullish / Bearish Stack Formed
▸ Squeeze Detected (compression begins)
▸ Squeeze Released (expansion starts)
▸ High Momentum (score crosses above 80)
🔹 SUGGESTED USE
This indicator works as a trend filter, not a standalone entry signal. Use it to:
▸ Confirm directional bias across timeframes before entering trades
▸ Identify compression phases where breakouts are likely
▸ Gauge trend quality and exhaustion via the momentum score and bar duration
▸ Filter crossover signals — a Fast × Mid cross during an active squeeze with MTF confluence is a higher-probability setup than the same cross in isolation
Pairs well with oscillators (RSI, Stochastic), volume-based indicators, or support/resistance tools for entry timing. Indikator
Liquidity Sweep & Golden Zone [StrixEDGE]Overview
Liquidity Sweep & Golden Zone is a multi-timeframe structural analysis tool built for traders who use Smart Money Concepts (SMC) and ICT methodology. It identifies liquidity sweeps at confirmed swing levels, maps the Fibonacci Golden Zone (OTE), and presents a real-time confluence dashboard across 15-minute, 1-hour, 4-hour, and daily timeframes.
The indicator answers three questions at a glance: where is the liquidity?, has it been swept?, and do multiple timeframes agree on direction?
How It Works
Liquidity Sweep Detection
The engine tracks confirmed swing highs and swing lows using pivot detection. These pivots represent resting liquidity pools — areas where stop-loss orders accumulate:
- Buy-Side Liquidity (BSL) sits above swing highs, where short sellers place their stops. When price wicks above a swing high and closes back below, a BSL sweep is triggered — signaling that buy-side stops were hunted. This typically precedes bearish continuation.
- Sell-Side Liquidity (SSL) sits below swing lows, where long traders place their stops. When price wicks below a swing low and closes back above, an SSL sweep is triggered — signaling that sell-side stops were hunted. This typically precedes bullish reversal.
Each sweep event displays the estimated volume in USDT at the moment of the sweep. This is calculated as `volume × close` on the sweep bar and serves as a proxy for the magnitude of liquidations that occurred. Higher volume sweeps tend to produce stronger reversals.
After a sweep, the level is updated to the new extreme — preventing duplicate signals and establishing a fresh liquidity reference.
Support & Resistance (Pivot-Based)
Active (un-swept) pivot levels are drawn on the chart as structural Support and Resistance:
- A line extending from the bar where the pivot formed to the current price area
- A zone band (ATR × 0.15) around the level, representing the area of influence
- Origin labels showing "Buy-Side Liquidity SWEEP" or "Sell-Side Liquidity SWEEP" with the USDT volume
- Price labels on the right edge for quick reference
These levels update dynamically: when a new pivot is confirmed, the line starts from the new origin. When a sweep occurs, the level shifts to the sweep bar.
Golden Zone (Fibonacci OTE: 0.618 – 0.786)
The Golden Zone represents the Optimal Trade Entry area — the 61.8% to 78.6% Fibonacci retracement of the most recent price range. Unlike pivot-based calculations, this indicator uses a **lookback-based approach**: it finds the highest high and lowest low over a configurable number of bars, then derives the zone from that range.
The zone is visualized with:
- A filled box between the 0.618 and 0.786 levels (transparency adjustable)
- Dashed border lines at 0.618 and 0.786
- A dotted midline at the 0.702 level
- Price labels showing exact values
- A centered "GOLDEN ZONE" tag
This approach produces a stable, always-visible zone that doesn't depend on individual pivot detection, making it reliable across all market conditions.
Multi-Timeframe Heatmap
The core of this indicator is a 7-column heatmap table that evaluates market conditions across four timeframes simultaneously:
| Column | What It Shows | Bullish | Bearish |
|--------|--------------|---------|---------|
| SWEEP | Recent liquidity sweep direction | ● BULL (SSL swept) | ● BEAR (BSL swept) |
| GZ | Price position relative to Golden Zone | ▲ ABOVE | ▼ BELOW |
| S/R | Price position vs. pivot S/R midpoint | ▲ BULLISH | ▼ BEARISH |
| BIAS | EMA 21/50 trend direction | ▲ BULL | ▼ BEAR |
| RSI | RSI(14) value with decimal precision | Color-coded by zone | Color-coded by zone |
| SIGNAL | Composite of all conditions | LONG ▲ | SHORT ▼ |
Signal Logic: The SIGNAL column counts four conditions per timeframe — RSI above/below 50, price in/above the Golden Zone, price above/below the S/R midpoint, and EMA bias direction. When 3 or more conditions align bullish, the signal reads LONG. When 3 or more align bearish, it reads SHORT. Otherwise, NEUTRAL.
A confluence bar at the bottom aggregates all timeframes. When the majority of conditions across all four timeframes agree, it displays STRONG BULLISH or STRONG BEARISH CONFLUENCE.
RSI Color Coding
| RSI Range | Color | Meaning |
|-----------|-------|---------|
| > 70 | Orange | Overbought |
| 50 – 70 | Green | Bullish momentum |
| 30 – 50 | Red | Bearish momentum |
| < 30 | Blue | Oversold |
Settings
Structure Settings
| Setting | Default | Description |
|---------|---------|-------------|
| Pivot Lookback Length | 5 | Bars left and right to confirm a swing pivot. Higher values produce fewer but stronger levels |
| Sweep Active Memory | 10 | How many bars a sweep signal remains active on the heatmap after detection |
Golden Zone
| Setting | Default | Description |
|---------|---------|-------------|
| Lookback Period | 20 | Number of bars to find highest high and lowest low for Fibonacci calculation |
| Show Golden Zone | On | Toggle zone visibility on chart |
| Fill Golden Zone | On | Shade the area between 0.618 and 0.786 |
| Fill Transparency | 88 | Opacity of the filled zone (50–98) |
| Golden Zone Color | Gold | Color for all Golden Zone elements |
Support & Resistance
| Setting | Default | Description |
|---------|---------|-------------|
| Show S/R on Chart | On | Toggle S/R lines, zone bands, and labels |
| Support Color | Teal | Color for support level and SSL elements |
| Resistance Color | Red | Color for resistance level and BSL elements |
| Line Width | 2 | Thickness of S/R lines (1–4) |
| Line Style | Solid | Solid, Dashed, or Dotted |
| Show Price Labels | On | Display price values at the right edge of each level |
Sweep Event Labels
| Setting | Default | Description |
|---------|---------|-------------|
| Show Sweep Labels | On | Toggle sweep event markers on chart |
| Bullish Sweep Color | Green | Color for SSL sweep labels (bullish reversal) |
| Bearish Sweep Color | Red | Color for BSL sweep labels (bearish reversal) |
Heatmap Table
| Setting | Default | Description |
|---------|---------|-------------|
| Show Heatmap Table | On | Toggle the entire dashboard |
| Table Position | Top Right | 9 position options across the chart |
| Table Cell Size | Normal | Tiny, Small, Normal, Large, or Auto |
Alerts
Five alert conditions are built in and ready to use:
1. Bullish Liquidity Sweep — SSL swept, potential bullish reversal
2. Bearish Liquidity Sweep — BSL swept, potential bearish reversal
3. Bull Sweep + Golden Zone — SSL swept while price is inside the OTE zone (high-probability long)
4. Bear Sweep + Golden Zone — BSL swept while price is inside the OTE zone (high-probability short)
5. Price in Golden Zone — Price enters the 0.618–0.786 zone on any bar
Disclaimer
This indicator is a technical analysis tool designed to assist in identifying potential areas of interest based on market structure and liquidity concepts. It does not constitute financial advice. The USDT volume figures are approximations, not verified liquidation data. Always use proper risk management and combine this tool with your own analysis. Past performance of any signal or pattern does not guarantee future results. Trade at your own risk. Indikator
Adaptive Volume Confluence OscillatorWhat it is
One pane that fuses seven different reads of the bar into a single 0–100 confluence score, gates that score by a trend-vs-chop regime filter, confirms it against an auto-mapped higher timeframe, and — most importantly — forward-calibrates its own Buy/Sell signals against an unconditional base rate, so you can see whether the construction actually carries an edge on your instrument.
The seven votes: momentum sign · momentum vs its signal · money flow · trend structure (MA fan) · price location vs VWAP · trend slope · higher-timeframe bias.
The displayed wave is a volume-flow ribbon; the votes drive the score, the signals and the verdict. A plain-language verdict and a subtle pane tint make it readable at a glance (Simple view); a full analytic layer is available for advanced users (Pro view).
Why these are combined (mashup rationale)
A single oscillator whipsaws and a single signal over-fires. Combining helps only when the inputs key on different quantities and their agreement is checked. Each vote reads a different thing — momentum, momentum-vs-signal, volume flow, multi-MA structure, location vs a session mean, slope, and a higher-timeframe read — so the count that agrees carries more information than any one of them alone. A Kaufman Efficiency-Ratio regime gate suppresses conviction in chop, and a forward-calibration harness ties the whole construction back to realised forward outcomes.
An honest caveat, stated up front: the votes are not statistically independent. The oscillator itself embeds money flow, and vote 2 is derived from vote 1's series. Treat the score as a weight-of-evidence read, not as seven independent confirmations. The harness exists precisely so you can check whether the construction earns its keep on your instrument rather than taking the claim on faith.
How it works
Score — how many of the seven votes are bullish, scaled 0–100.
Regime — Kaufman Efficiency Ratio. Below the chop threshold, conviction dims, signals are withheld, and the verdict reads "WAIT – choppy".
HTF — the chart timeframe auto-maps to a confirming higher timeframe (~4–6×), requested with lookahead_off and offset by one bar while the live bar forms.
Signals — Buy/Sell fire only when the oscillator crosses its signal at a statistical OB/OS extreme and the score agrees and the regime isn't choppy and the visible wave isn't already at the opposite extreme.
Climax — a volume spike at an OB/OS extreme prints a Possible Bottom/Top exhaustion mark.
Divergence (Pro) — regular + hidden, from confirmed pivots on the momentum oscillator.
Calibration — each Buy/Sell is queued and resolved a fixed horizon later, then compared with the unconditional same-horizon base rate. The dashboard shows, per side: Hit %, Edge = Hit − Base, sample size, and a Wilson-gated star.
How to use it
Read the verdict and the score. Above the gate = bullish weight of evidence; below = bearish; in between, or in chop, the tool says WAIT — and it means it.
Treat Buy/Sell marks as context, not triggers. They already require the score, the regime and the wave to agree, but they remain a description of conditions — not a recommendation.
Read the Edge row before you weight any signal. If Buy/Sell Edge isn't clearly positive with an adequate sample and a star, this construction is not carrying an edge on this instrument — weight it down or ignore it. Do not tune the parameters until the Edge turns green: that is curve-fitting, and the harness is there to catch it, not to be defeated.
Combine with your own levels, structure and risk rules.
Universal across markets
Price / high / low are inputs, so the engine runs on any symbol or timeframe. The volume votes (money flow, climax, VWAP location) need real volume — prefer a futures contract or a stock. On a symbol with no volume the tool degrades gracefully: money flow is neutralised, the score falls back to the price-only votes, and the dashboard says "NO VOLUME", so you're never misled by a blank or a phantom reading.
Non-repainting
Votes read confirmed closes. The HTF series uses lookahead_off and is offset by one bar while the live bar forms. Divergences come from ta.pivot* and confirm a few bars after the pivot; once printed they don't move. The calibration harness logs and resolves only on confirmed bars, so its statistics never inflate intrabar. The live oscillator updates each bar, like any oscillator.
Concept credits
Super Smoother and Ultimate Smoother low-lag filters — John Ehlers. Chebyshev Type-I filter — classical DSP. Recursive (Kalman) smoothing — R. E. Kalman. Volume Zone Oscillator — Walid Khalil & David Steckler. Accumulation/Distribution money-flow multiplier — Marc Chaikin. Efficiency Ratio — Perry J. Kaufman. ATR — J. Welles Wilder. Wilson score interval — Edwin B. Wilson. VWAP, Hull MA and percentile rank — standard public methods.
Original implementation; not affiliated with, nor endorsed by, any third party. No third-party code is reused.
Honest limits
The score is context, not a guarantee, and the votes are correlated (see the caveat above). The Edge figures are in-sample, close-to-close, with overlapping forward windows and no costs — descriptive context, not a verified backtest. An Edge near zero, negative, or unstable across timeframes is the harness honestly telling you the signal has no reliable edge on that instrument. Nothing here predicts price.
Disclaimer
Research and educational tool only. Not financial advice and no guarantee of profitability or accuracy. Indicators describe past behaviour; they do not predict the future. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use of this script. Indikator
Helix Lucky MTF Bias and Breakout DashboardHelix Lucky MTF Trend and Breakout Dashboard
📊 Overview
Helix Lucky MTF Trend and Breakout Dashboard is an overlay indicator designed to organize trend, momentum, breakout context, key levels, and multi-timeframe alignment into one chart-based dashboard.
The purpose of the script is not to combine unrelated indicators into a single display. The script separates market analysis into distinct layers so each component has a specific role:
1. Trend structure
2. Momentum confirmation
3. Breakout context
4. Multi-timeframe alignment
5. Key level awareness
6. Setup scoring
7. Optional visual confirmation tools
The result is a confluence-based workflow that helps traders review whether multiple independent conditions are aligned before making a trading decision.
🧩 How the Main Components Work Together
The script uses moving averages, VWAP, MACD, ZLSMA, UT Bot logic, Supertrend, ADX, RSI, and Opening Range Breakout logic as separate inputs within the same framework.
The moving average group provides basic trend structure by comparing shorter-term and longer-term averages. The default structure uses a fast EMA, medium EMA, and long SMA, but users can configure the moving average types and lengths.
VWAP provides session or higher-period price-location context. It can be anchored to the session, day, week, month, quarter, or year and may be displayed with standard deviation or percentage-based bands.
MACD is used as a momentum confirmation layer. The script includes a minimum separation filter so very small MACD differences can be filtered out instead of being treated the same as stronger momentum shifts.
ZLSMA is optional and can be used as an additional trend-direction filter.
The UT Bot component is used as the primary chart label engine. It uses an ATR-based adaptive trailing stop. The script adjusts the trailing distance using volatility, momentum, and volume conditions, then produces Buy or Sell labels when price crosses the trailing stop and the configured filters allow the signal.
Supertrend provides a separate trend-regime layer. This gives the user a second way to compare the UT Bot label against a broader trend condition.
ADX is used to evaluate whether trend strength is above the user-selected threshold. RSI can be used either in a classic 30/70 bias mode or with custom pullback zones.
The Opening Range Breakout component tracks whether price is above, below, or inside the selected opening range window. This helps separate trend-following conditions from range-bound conditions.
🧠 Why This Is More Than a Simple Mashup
Each component is assigned a different purpose. The script is designed so the same tools are not all treated as equal standalone signals.
Trend tools identify direction.
Momentum tools evaluate confirmation.
Volume and relative volume help evaluate participation.
Opening Range Breakout logic identifies range expansion.
The Bias Table compares selected conditions across multiple timeframes.
The Price Point Dashboard displays important reference levels and live context.
The scoring layer organizes these conditions into a rule-based summary.
This structure allows the script to reduce chart clutter while still showing how the underlying conditions agree or disagree.
🕒 Multi-Timeframe Bias Table
The Multi-Timeframe Bias Table displays up to eight selectable timeframes, including 1 minute, 5 minutes, 15 minutes, 30 minutes, 1 hour, 2 hours, 4 hours, and Daily.
Each row evaluates one condition, such as moving average structure, price relative to VWAP, MACD alignment, Supertrend direction, ZLSMA slope, RSI condition, ADX threshold, Opening Range Breakout status, and longer-period bias.
The table also includes an average agreement reading. This reading is not a prediction and does not represent a win rate. It simply shows how many selected conditions are aligned across the active timeframes.
By default, the script can hide timeframes below the current chart timeframe. This is intended to reduce lower-timeframe noise when viewing higher-timeframe charts.
📍 Price Point Dashboard
The Price Point Dashboard displays reference levels and market context in one location. These can include prior day high, prior day low, prior day close, pivot levels, moving averages, 52-week high, Fibonacci reference levels, VWAP information, Opening Range Breakout status, ATR, gap percentage, relative volume, and other selected dashboard fields.
The dashboard is intended to help users see where price is trading relative to important reference levels without manually adding each level to the chart.
📈 Trend Strength Score
The Trend Strength Score is a rule-based 0 to 100 score that measures how strongly the current bar aligns with selected bullish trend conditions.
The score uses five weighted components:
- EMA alignment
- VWAP location
- MACD alignment
- Supertrend direction
- ADX strength
The score is a summary of internal conditions only. It does not predict future price movement.
🎯 Trade Probability Score
The Trade Probability Score is a rule-based 0 to 100 setup-quality score. It is calculated from twelve weighted factors:
- Multi-timeframe alignment
- EMA stack
- VWAP location
- Price relative to the 200-period moving average
- MACD alignment
- Supertrend direction
- ADX strength
- Relative volume
- Opening Range Breakout status
- Relative strength versus a selected benchmark
- Volatility state
- Position relative to key levels
The score is intended to summarize confluence. A higher score means more of the script’s internal conditions are aligned. It does not mean that a trade will be profitable, and it should not be interpreted as a guaranteed probability of success.
💧 Liquidity Sweep Detection
The script can detect liquidity sweep conditions by checking whether price moves beyond a recent swing high or swing low and then closes back inside that level.
A Sweep High label indicates that price moved above a recent high and then closed back below that level.
A Sweep Low label indicates that price moved below a recent low and then closed back above that level.
These labels are intended to identify possible rejection behavior around recent swing points. They should be used as context, not as standalone trade signals.
⚖️ Relative Strength
The script includes relative strength comparison against configurable benchmark symbols. The default benchmarks are QQQ and SPY.
Relative strength is calculated by comparing the current symbol’s intraday return against the benchmark’s intraday return. A positive value means the current symbol is outperforming the benchmark over that comparison period. A negative value means it is underperforming.
🌡️ Volatility State
The Volatility State feature classifies the current volatility environment as Squeeze, Normal, or Expansion.
This is based on Bollinger Band width compared with Keltner Channel width and recent volatility behavior.
Squeeze indicates compressed volatility.
Normal indicates a standard volatility environment.
Expansion indicates that volatility has increased relative to recent conditions.
This feature is included to help users understand whether price is consolidating, behaving normally, or expanding in volatility.
🕯️ Candlestick Pattern Labels
The script includes optional candlestick pattern labels. These patterns are detected on the same timeframe as the chart. They are not calculated from a separate hidden timeframe.
Optional labels include:
- Bullish Engulfing
- Bearish Engulfing
- Hammer
- Shooting Star
- Morning Star
- Evening Star
- Inside Bar
- Tweezer Top
- Tweezer Bottom
- Doji
- Dragonfly Doji
- Gravestone Doji
- Sweep High
- Sweep Low
These labels are intended as additional context. They should not be treated as standalone entries without reviewing trend, momentum, volatility, and key-level context.
🛑 Suggested Stop Loss and Take Profit Reference Lines
The script can plot suggested stop loss and take profit reference lines after a UT Bot label appears.
The stop line is calculated from internal structure such as the UT Bot stop, Supertrend, VWAP, moving average, Donchian floor, and a minimum ATR-based risk floor depending on settings and context.
Take profit reference lines are based on R-multiple distances from the suggested stop. These are visual planning tools only. They do not place trades, manage positions, or execute orders.
🧭 How to Use the Script
A typical workflow is:
1. Select the chart timeframe and market being reviewed.
2. Review the Multi-Timeframe Bias Table to understand directional alignment.
3. Check whether the chart is trending, ranging, breaking out, or consolidating.
4. Review the Price Point Dashboard for key levels and market context.
5. Watch for a UT Bot Buy or Sell label if labels are enabled.
6. Compare the label direction with Supertrend, MACD, VWAP, ADX, and the Bias Table.
7. Review the Trend Strength Score and Trade Probability Score as confluence summaries.
8. Use the suggested stop and take profit reference lines only as visual planning tools.
9. Apply independent risk management and confirm the setup with your own analysis.
🌍 Timeframes and Markets
The script can be applied to different chart timeframes and TradingView-supported markets. Lower timeframes may produce more signals and more noise. Higher timeframes may produce fewer signals but can provide broader context.
The Multi-Timeframe Bias Table is intended to help users avoid looking at a single timeframe in isolation.
⚠️ Important Limitations
This script is an indicator, not a strategy. It does not place trades, backtest trades, manage orders, or connect to a brokerage account.
The scoring systems are rule-based summaries of current chart conditions. They are not win-rate models, machine-learning predictions, or guarantees of future results.
Signals, labels, and dashboard values can vary by symbol, timeframe, liquidity, volatility, and user settings.
The Bias Table is a live context dashboard and may update while the current bar is forming. This is expected behavior because some values are based on developing bar data.
The “Draw visuals only on bar close” setting gates the UT Bot entry visuals and suggested stop/take-profit drawings to confirmed bars. It does not freeze every live dashboard value while a bar is developing.
Liquidity Sweep labels can be gated to bar close using the Bar Close Only setting.
The script is designed for standard chart analysis. Signals on non-standard chart types may behave differently because those chart types can use synthetic price construction.
No signal, score, table reading, or label should be used as a guarantee of future price movement. Users should apply their own analysis and risk management.
🧾 Credits and Inspiration
This script was inspired by the concept of combining a multi-timeframe bias table, trend labels, and a price-level dashboard into one overlay.
The current script is a ground-up Pine Script v6 implementation with additional architecture, including the rule-based Trade Probability Score, Trend Strength Score, liquidity sweep detection, relative strength comparison, volatility state classification, configurable dashboards, candlestick pattern labels, and suggested risk-reference lines.
The script also uses common technical analysis concepts such as moving averages, VWAP, MACD, RSI, ADX, ATR, Supertrend-style trend logic, and Opening Range Breakout logic. These common concepts are organized into a single decision-support framework rather than presented as separate standalone indicators. Indikator
NSE/BSE Key Support & Resistance | MTF Pro-3.1Advanced pivot-based Support & Resistance with multi-timeframe confluence, strength scoring, volume-confirmed breaks, and adaptive zone visuals — built specifically for Indian stock market (NSE/BSE).
Overview
Most S&R indicators draw every pivot as an equal horizontal line and extend it infinitely to the right — creating cluttered, unreadable charts. This indicator solves that by scoring every level based on how strongly price rejected it , merging overlapping levels from different timeframes into a single confluence zone, and only showing the levels that actually matter.
Built and tuned specifically for NSE and BSE stocks, indices (Nifty 50, Bank Nifty, Sensex), and F&O instruments.
Key Features
🔷 Multi-Timeframe Support (4 TFs)
Enable up to 4 independent timeframes simultaneously. Each timeframe's pivots are detected separately and tagged in the label — , , , . You choose which timeframes to activate.
🔷 Cross-TF Confluence Merge
When two different timeframes produce a pivot at nearly the same price (within ATR proximity), they automatically merge into a single stronger zone instead of drawing two overlapping boxes. The label shows both sources — — and the level receives a confluence strength bonus. These merged zones are your highest-priority trade levels.
🔷 Advanced Strength Scoring
Every level carries a live strength score (★) that accumulates over time. Each touch is scored individually based on:
Wick size relative to candle range (how strongly price rejected)
Distance of close from the level (how convincingly price pulled back)
Whether volume was above average on that candle
Whether a strong body / engulfing candle formed
A barely touching wick scores ~0.5. A high-volume hammer rejection scores ~5–6. The score drives both zone opacity and zone width — strong levels appear bold and wide, weak levels fade visually.
🔷 Volume-Based Break Filter
A level is only invalidated when price closes beyond it and volume meets a configurable threshold (default: 1× average volume). Low-volume spikes through a level are ignored as false breakouts — the zone remains valid. Break alerts include the volume ratio so you know the conviction behind the move.
🔷 Adaptive Zone Visuals
No right extension — zones terminate at the current bar (valid) or the break bar (broken). No infinite lines cluttering the right side of your chart.
Opacity scales with strength — strongest levels are most visible, weakest levels are nearly transparent.
Zone width scales with strength — high-confidence zones are wider, giving a visual sense of the price area's importance.
🔷 Clean Labels
Each label shows the full picture at a glance:
21450.00 ★6.5 ×3
Timeframe source | Price | Strength score | Touch count
Settings Guide
SettingWhat it doesPivot LengthBars each side to confirm a pivot. Higher = fewer, stronger levelsMin StrengthHide levels below this score. Raise to show only confirmed levelsATR Merge DistanceHow close two levels must be to merge into oneInvalidationClose-based (reliable) or Wick-based (faster) break detectionVolume Break FilterRequire above-average volume to confirm a breakoutMin Volume MultiplierHow many times average volume needed to confirm a breakMax Active LevelsCap total zones shown on chartStrength → Zone OpacityToggle adaptive opacity based on strength score
How to Use
Bounce trades — price enters a green (support) zone → wait for a rejection candle with volume → enter above the rejection candle high, SL below zone bottom.
Rejection trades — price enters a red (resistance) zone → wait for a bearish candle with volume → enter below candle low, SL above zone top.
Breakout trades — price closes beyond a zone with high volume (break alert fires) → wait for pullback to the broken level → trade in the direction of the break.
Highest priority setups — zones tagged or with ★ score above 5 and multiple touches. These are the levels institutional money respects.
Alerts
The indicator fires alert() calls for:
Break confirmed — includes ticker, price, and volume ratio
Retest — includes ticker, price, and touch quality score
Set alert condition to "Any alert() function call" in TradingView's alert dialog.
Notes
Designed and tested on NSE/BSE equities and F&O stocks
Works on any timeframe from 1 minute to Weekly
All calculations are original — pivot detection, strength engine, confluence merge, and volume filter are built from scratch in Pine Script v6 Indikator
Auction Regime Router Entropy Gate & Hurst MemoryAuction Regime Router — Entropy Gate & Hurst Memory
What it is
Every structure playbook fails in the wrong regime. Fading the value-area edge works when price is anti-persistent (stretches snap back); riding a breakout works when price is persistent (moves feed on themselves); and nothing structural works when the tape is noise. This tool measures two things — how much structure exists, and what kind it is — and routes to a plain-language answer: FADES VIABLE / BREAKOUTS VIABLE / STAND ASIDE. It decides which of your tools to trust, never buy or sell.
The two measurements (and how they work together)
Permutation entropy (Bandt–Pompe 2002) — the gate. It measures how disordered the recent price sequence is from the frequencies of ordinal patterns (which of the 6 orderings each price triplet takes). High entropy = all patterns equally likely = noise = no structural edge. The gate is self-calibrated: entropy is ranked against its own recent history, so "noisy" means noisy for this symbol and timeframe.
Hurst exponent (Hurst 1951; Mandelbrot) — the router. Memory via diffusion scaling: how the dispersion of K-bar returns grows with K. H > 0.5 = persistent → continuation regime; H < 0.5 = anti-persistent → reversion regime. Research supports the routing: mean reversion is empirically more probable and faster during anti-persistent periods.
The mashup logic is a hierarchy, not a mixture: the entropy gate overrides the Hurst read. If the tape is noise, the router says STAND ASIDE regardless of what H says — because a memory estimate on noise is meaningless.
The honesty steps
A dead zone around H = 0.5 (default 0.45–0.55): near a random walk the memory read is unreliable, so the router says MIXED rather than pretending. Practitioners commonly require a margin before activating a playbook; both thresholds are inputs.
A minimum-dwell filter (the standard anti-chattering design from switched-systems control): a new regime is announced only after it survives a set number of confirmed bars, so the read doesn't flip-flop bar to bar. The cost is that many bars of lag — stated, and adjustable.
Estimates are proxies from bar data with overlapping windows — descriptive of the recent past, not a prediction. The dashboard shows the state, how long it has persisted (regime age), how dominant it has been recently (stability %), and any pending regime with a countdown — nothing more.
How to use it
Add to any liquid symbol/timeframe; defaults suit intraday index futures. The script requests no external data of any kind, so it runs on every plan and every symbol.
Glance at the regime lane — the thin colored strip at the bottom of the pane: blue = continuation, violet = reversion, amber = noise, gray = mixed. The palette is deliberately direction-neutral — no green or red anywhere in regime coding, so nothing can be misread as a buy or sell.
The HTF STACK row shows the raw regime on three higher timeframes derived as multiples of the chart (defaults 3×, 5×, 15× — so a 5m chart reads 15m/25m/75m automatically, adapting to any chart). A ✓ in green = every timeframe agrees on the same actionable regime (strongest context). A ⚠ in amber = a higher timeframe reads NOISE or the opposite regime while the chart claims a playbook (weakest — reduce or wait).
Read the dashboard for detail: REVERSION → your value-area fade / band-reversion tools are in their element; CONTINUATION → your breakout / drive tools are; NOISE → the gate is closed, stand aside; MIXED → no clear routing, reduce. STABILITY shows how settled the read is; PENDING shows a forming regime with a countdown.
Regime-change tags print only on announced (dwell-confirmed) changes; alerts fire on entering each state.
Best used as the selector above your structure toolkit rather than as a standalone display.
What makes it original
Hurst and entropy oscillators exist. What this adds: (1) the hierarchy — a self-calibrated entropy gate that can veto the memory read, instead of two numbers side by side; (2) routing to auction playbooks in plain language (fade vs breakout viability), not a raw statistic; (3) honest dead zones, a minimum-dwell announcement filter, and stability/pending context instead of a binary flip at H = 0.500. It is a decision-hygiene tool for structure traders.
Concept credits
Ordinal-pattern (permutation) entropy — C. Bandt & B. Pompe (2002). Long-memory / rescaled-range analysis — H. E. Hurst (1951); fractal market framing — B. Mandelbrot. Regime-gated strategy selection — standard quantitative practice. Implementation and charting design are the author's own.
Important disclaimer
Research and education only. Not financial advice, not a signal service, not a guarantee of future results. Regime labels are descriptive statistics of recent bars; regimes change without warning and estimates are proxies. Validate independently and manage your own risk. Indikator
Skew Divergence OscillatorSkew Divergence Oscillator
A bounded oscillator built from the rolling skewness (asymmetry) of returns — whether recent moves lean toward big up-days or big down-days — with a divergence engine that compares that asymmetry against price. The read most tools miss: when price makes a new high but return skew is turning down (large down-moves creeping in), the advance is quietly losing its character before price confirms it. It estimates skew from higher-resolution realized data, confirms divergences on a higher timeframe, and forward-calibrates whether they pay on the chart you're viewing — in plain language.
Why these parts are combined (not a mashup for show). Each fixes a flaw in the previous one. Skewness is a distributional read price action alone doesn't show — it captures which tail is getting heavier, a leading change in market character. Realized estimation measures skew from intrabar returns instead of one value per bar, so short-window skew isn't jumpy — the standard approach in modern risk research. Divergence relates that asymmetry back to price, turning a statistic into a timing read. Higher-timeframe confirmation and forward calibration remove single-timeframe noise and blind faith respectively. Together they form one coherent tool.
How it works. Returns feed a rolling third standardized moment (skew = m3/sd³). With realized estimation on, skew is computed from a lower-timeframe return stream (confirmed only). It's standardized and soft-bounded to ±100. Divergence is detected from confirmed price pivots versus the skew line (regular and optional hidden); with MTF on, it counts only if the higher timeframe agrees. Each signal is labelled by a triple barrier — a profit target and equal stop in ATR units plus a time limit — split into in-sample and recent out-of-sample, with a confidence interval and a multiple-testing check.
How to use. Read the Verdict (Bull/Bear skew divergence confirmed, unconfirmed, or Wait) and the Conviction, which reads "High" only when that divergence type shows a positive edge that survives the test on this symbol — otherwise it openly says "context only" or "no proven edge here." A skew divergence is an early character warning, not a trend signal — pair it with your own entry trigger and risk plan.
What's original. The realized-skew engine as a divergence source, the higher-timeframe confirmation layer, the triple-barrier forward calibration with an out-of-sample split, and a conviction read that admits when an apparent edge isn't statistically real.
Honesty & limitations. Skew from short windows is noisy. Edge figures are computed on this chart's own history with overlapping windows and no costs — context, not a guaranteed backtest; past behaviour doesn't predict the future. Non-repainting: pivots confirm late and never move; realized and HTF reads use confirmed data only.
Disclaimer: for research and education only. Not financial advice. Trading carries risk of loss; manage your own positions. Indikator
Mean-Deviation Divergence OscillatorMean-Deviation Divergence Oscillator
A bounded oscillator that measures how far the typical price has stretched from its own recent mean, scaled by how much it normally deviates — so a reading tells you "how unusual is this move," not just "how big." That normalization makes its swings comparable across calm and volatile regimes and well suited to divergence. It adds higher-timeframe confirmation and a plain-language forward-calibration layer, so you can see at a glance whether a divergence is corroborated and whether it has actually paid on this symbol.
Why this construction (not a mashup for show). Each part fixes a flaw in naive divergence. Raw distance-from-mean isn't comparable across regimes — dividing by the average absolute deviation (with the conventional 0.015 scaling, chosen so that roughly 70–80% of readings fall within ±100) makes the oscillator regime-comparable, which is the whole reason it's a good divergence base. Higher-timeframe confirmation removes single-timeframe noise. Forward calibration removes blind faith: instead of assuming a divergence "should" reverse price, it measures whether it actually has, with realistic profit/stop outcomes. The normalized oscillator, the divergence engine, the MTF check and the calibration form one coherent tool.
How it works. Oscillator = (typical price − its moving average) ÷ (0.015 × mean absolute deviation), soft-bounded to a clean ±100 pane that auto-fits its own recent magnitude. Divergence is detected from confirmed price pivots versus the oscillator (regular and optional hidden). With MTF confirmation on, a divergence counts only if a same-direction divergence is also present on the chosen higher timeframe. Each signal is then labelled by a triple barrier — a profit target and equal stop in ATR units plus a time limit — split into in-sample and recent out-of-sample, with a confidence interval and a multiple-testing check.
How to use. Read the Verdict row (Bull/Bear divergence confirmed, "unconfirmed," or Wait) and the Conviction row, which reads "High" only when that divergence type shows a positive edge that survives the test on this symbol. A divergence is a reversal warning, not a trend signal — pair it with your own entry trigger and risk plan.
What's original. Higher-timeframe divergence confirmation on a mean-deviation normalized oscillator, the forward triple-barrier calibration with an out-of-sample split, and a conviction read that openly admits when there's no proven edge.
Inputs. Price/High/Low sources (change them for any market), reading mode (Simple/Pro), engine length and deviation scale, divergence and HTF-confirm controls, full calibration settings, and an auto-adapting dashboard legible on dark or light charts. Defaults are tuned for NSE:NIFTY1! intraday.
Honesty & limitations. Edge figures are computed on this chart's own history with overlapping windows and no costs — context, not a guaranteed backtest; past behaviour doesn't predict the future. Divergence is inherently early and can persist before price turns.
Disclaimer: for research and education only. Not financial advice. Trading carries risk of loss; manage your own positions. Indikator
Smoothed Momentum Divergence OscillatorSmoothed Momentum Divergence Oscillator
A bounded momentum oscillator whose momentum is double-smoothed — once on the price change and once on its size — which makes its swings unusually clean and well suited to divergence. It adds higher-timeframe confirmation and a plain-language forward-calibration layer, so you can see at a glance whether a divergence is corroborated and whether it has actually paid on this symbol.
Why this construction (not a mashup for show). Each part removes a weakness of raw divergence. Raw momentum is jagged, so single-pass divergence is noisy — smoothing the price change twice (and dividing by the twice-smoothed size of the change) produces a clean bounded line whose pivots are stable, which is the core reason this construction suits divergence at all. Higher-timeframe confirmation removes single-timeframe noise: a divergence that also shows on a higher timeframe is far less likely to be a fluke. Forward calibration removes blind faith: instead of assuming a divergence "should" reverse price, it measures whether it actually has, with realistic profit/stop outcomes. The smoothed oscillator, the divergence engine, the MTF check and the calibration form one coherent tool.
How it works. Momentum = double-smoothed price change ÷ double-smoothed absolute price change, scaled to a bounded line with a signal average. Divergence is detected from confirmed price pivots versus the oscillator (regular and optional hidden). With MTF confirmation on, a divergence counts only if a same-direction divergence is also present on the chosen higher timeframe. Each signal is then labelled by a triple barrier — a profit target and equal stop in ATR units plus a time limit — split into in-sample and recent out-of-sample, with a confidence interval and a multiple-testing check.
How to use. Read the Verdict row (Bull/Bear divergence confirmed, "unconfirmed," or Wait) and the Conviction row, which reads "High" only when that divergence type shows a positive edge that survives the test on this symbol. A divergence is a reversal warning, not a trend signal — pair it with your own entry trigger and risk plan.
What's original. Higher-timeframe divergence confirmation on a double-smoothed oscillator, the forward triple-barrier calibration with an out-of-sample split, and a conviction read that openly admits when there's no proven edge.
Inputs. Price/High/Low sources (change them for any market), reading mode (Simple/Pro), momentum windows, divergence and HTF-confirm controls, full calibration settings, and an auto-adapting dashboard legible on dark or light charts. Defaults are tuned for NSE:NIFTY1! intraday.
Honesty & limitations. Edge figures are computed on this chart's own history with overlapping windows and no costs — context, not a guaranteed backtest; past behaviour doesn't predict the future. Divergence is inherently early and can persist before price turns.
Disclaimer: for research and education only. Not financial advice. Trading carries risk of loss; manage your own positions. Indikator
Multi-Period Divergence OscillatorMulti-Period Divergence Oscillator
A bounded buying-pressure oscillator built to expose divergences that are corroborated across multiple measurement windows at once — and, optionally, across timeframes — then scores its own divergences forward on your chart in plain language so you can see at a glance whether to act or wait.
Why this construction (not a mashup for show). Single-window oscillators throw frequent, fragile divergences. The fix, by design, is to measure buying pressure over three windows (fast, medium, slow) and weight them into one line, so a divergence only forms when short-, medium- and long-horizon pressure agree. This tool layers two further filters that each remove a class of false signal: higher-timeframe confirmation (a divergence that also shows on a higher timeframe is far less likely to be noise), and forward calibration (instead of assuming a divergence "should" reverse price, it measures whether it actually has, on this symbol, with realistic profit/stop outcomes). The oscillator, the divergence engine, the MTF check and the calibration form one coherent tool — none alone is sufficient, which is why they're combined.
How it works. Buying pressure = close − min(low, prior close); true range = max(high, prior close) − min(low, prior close). The oscillator weights their sums over three windows (default 7/14/28). Divergence is detected from confirmed price pivots versus the oscillator (regular and optional hidden). With HTF confirmation on, a signal counts only if a same-direction divergence is also present on the chosen higher timeframe. Each signal is then labelled by a triple barrier — a profit target and equal stop in ATR units plus a time limit — split into in-sample and recent out-of-sample, with a confidence interval and a multiple-testing check.
How to use. Read the Verdict row (Bull/Bear divergence confirmed, "unconfirmed," or Wait) and the Conviction row, which reads "High" only when that divergence type shows a positive edge that survives the test on this symbol. A divergence is a reversal warning, not a trend signal — pair it with your own entry trigger and risk plan. Best used alongside structure, not alone.
What's original. Higher-timeframe divergence confirmation on a multi-window oscillator, the forward triple-barrier calibration with an out-of-sample split, and a conviction read that openly admits when there's no proven edge.
Inputs. High/Low/Close sources (change them for any market), reading mode (Simple/Pro), oscillator windows, divergence and HTF-confirm controls, full calibration settings, and an auto-adapting dashboard legible on dark or light charts. Defaults are tuned for NSE:NIFTY1! intraday.
Honesty & limitations. Edge figures are computed on this chart's own history with overlapping windows and no costs — context, not a guaranteed backtest; past behaviour doesn't predict the future. Divergence is inherently early and can persist before price turns.
Disclaimer: for research and education only. Not financial advice. Trading carries risk of loss; manage your own positions. Indikator
Indikator
Liquidity Sweep Warner - MMXM HunterHier ist eine professionelle englische Beschreibung für TradingView:
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# Liquidity Sweep Warner – ICT / SMC Dashboard
The Liquidity Sweep Warner is designed for ICT and Smart Money Concepts traders who want a clear overview of whether key liquidity levels have already been taken during the trading day.
The indicator automatically tracks major external liquidity pools and displays their current status in a clean dashboard located in the top-right corner of the chart.
## Tracked Liquidity Levels
### Previous Day Liquidity
* Previous Day High (PDH)
* Previous Day Low (PDL)
### Asia Session Liquidity
Based on New York Time:
* Asia Session: 7:00 PM – 3:00 AM NY Time
* Asia High
* Asia Low
### London Session Liquidity
Based on New York Time:
* London Session: 3:00 AM – 9:30 AM NY Time
* London High
* London Low
### 1-Hour Main Swing Liquidity
The indicator automatically identifies major 1H swing highs and swing lows.
Default swing definition:
* Higher than the previous 3 candles
* Confirmed by 1 candle on the right
This can be customized in the settings.
## Sweep Detection
A liquidity level is considered swept immediately when price touches or exceeds the level.
No candle close is required.
Examples:
* High ≥ PDH → PDH is marked as TAKEN
* Low ≤ PDL → PDL is marked as TAKEN
This reflects the true concept of stop-hunt liquidity where even a single tick beyond the level is sufficient.
## Dashboard
The dashboard displays:
* PDH
* PDL
* Asia High
* Asia Low
* London High
* London Low
* 1H Main Swing High
* 1H Main Swing Low
Status colors:
* Green = TAKEN
* Red = OPEN
This allows traders to instantly see which liquidity pools remain available and which have already been cleared.
## Visual Chart Markings
Every tracked liquidity level is drawn as a horizontal line extending from its origin to the current price.
When a level gets swept:
* The line changes to gray
* The line becomes dashed
* An optional sweep label is printed on the chart
This makes it easy to visually confirm where liquidity has been taken.
## Alerts
The indicator can generate alerts whenever any tracked liquidity level is swept:
* PDH Swept
* PDL Swept
* Asia High Swept
* Asia Low Swept
* London High Swept
* London Low Swept
* 1H Main Swing High Swept
* 1H Main Swing Low Swept
Perfect for traders who want immediate notification when liquidity is removed from the market.
## Purpose
The goal of this indicator is simple:
Avoid trading directly into liquidity that has already been taken and maintain awareness of the next likely liquidity objective.
It provides a clear picture of market structure, external liquidity, and potential draw-on-liquidity targets throughout the trading day.
---
**Recommended Use:** ICT, SMC, MMXM, Liquidity-Based Trading, Market Structure Analysis, London Session Trading, New York Session Trading, Futures, Forex, Indices, and Crypto Markets.
Indikator
Indikator
NORN WEAVE | THURISAZ# NORN WEAVE ᚦ THURISAZ
---
### Overview
NORN WEAVE ᚦ THURISAZ is the third version of the NORN WEAVE series, built on URUZ as its foundation.
The core logic is unchanged — EMA slope, Dow Theory swing structure, ADX trend confirmation. What changed is the entry filter. THURISAZ adds one question before every trade: *where are we standing on the daily chart?*
URUZ was built to survive. THURISAZ is built to choose. Bad entries don't just lose money — they consume time, margin, and mental bandwidth. The goal of this version is to stop entering trades that look right on the current timeframe but are wrong on the bigger picture.
The philosophy remains: survival first, profit second. THURISAZ adds a third principle — *don't enter where you shouldn't be standing.*
---
### What's New: Daily Fibonacci Filter
THURISAZ introduces a daily timeframe Fibonacci filter as a structural context layer.
When the current timeframe trend and the daily trend align, the strategy behaves exactly like URUZ — no additional friction.
When they diverge, THURISAZ evaluates *where* price sits within the daily swing range using Fibonacci retracement levels (0.382 and 0.618):
- **Mid zone (0.382–0.618)** — Price is in the middle of the daily range. This is the "landing zone": the most likely area for a pullback to stall and reverse, not complete. Entries are blocked.
- **Shallow zone (below 0.382)** — The pullback is still early. Entry is allowed, but TP1 is adjusted to the 0.382 level rather than the standard ATR-based target. Partial profit is taken before the natural resistance zone.
- **Deep zone (above 0.618)** — Price has retraced significantly. Potential reversal territory. Entry is allowed with standard targets.
The daily swing detection period is independently configurable from the current timeframe's Focus Level, giving finer control over what constitutes a "daily swing."
---
### Entry Conditions
**Long:** EMA rising AND Dow Theory trend up AND ADX above threshold AND Daily Fibo zone allows AND Footprint Delta bullish (if filter enabled)
**Short:** EMA falling AND Dow Theory trend down AND ADX above threshold AND Daily Fibo zone allows AND Footprint Delta bearish (if filter enabled)
---
### Exit Conditions
- TP1 — ATR × Factor × 1 → closes 30% (or Fibo 0.382 if shallow counter-trend entry)
- TP2 — ATR × Factor × 2 → closes another 30%
- TP3 — ATR × Factor × 3 → closes a further 30%
- Stop Loss — fixed % from entry → closes full position
- Break Even Stop — once floating profit reaches the BE trigger %, stop moves to entry price and closes on pullback
- Trend Reversal — when Dow Theory swing flips → closes full position
---
### Focus Level & Auto Calibration
Unchanged from URUZ. Focus Level is the primary knob — adjust it first when applying to a new symbol or timeframe.
Auto Calibration computes ADX threshold, ATR factor, and Stop Loss from the chart's own volatility data. When enabled, no manual tuning is required.
---
### Break Even Stop
Unchanged from URUZ. One parameter: how far price must move from entry before the stop activates. Stop is always placed at entry price.
---
### Footprint Delta Filter *(Premium plan required)*
Unchanged from URUZ. Uses BTC or ETH footprint delta as a directional confirmation filter. Blocks entries when order flow contradicts the trade direction.
---
### Parameters
- **Focus Level** (default 13) — Main knob. Controls swing detection and EMA scaling.
- **EMA Scale Ratio** (default 5) — EMA length = Focus Level × this value.
- **Daily Swing Length** (default 10) — Swing detection period for the daily timeframe. Independent from Focus Level.
- **Show Daily Fibo Zone** (default ON) — Displays the 0.382 and 0.618 levels on the chart for visual reference.
- **Auto Calibration** (default ON) — Computes ADX threshold, ATR factor, and SL automatically.
- **BE Trigger %** (default 5.5%) — How far price must move before the BE stop activates.
- **ATR Factor** — Manual mode only. Default 3.8.
- **Stop Loss %** — Manual mode only. Default -10.0%.
- **ADX Threshold** — Manual mode only. Default 20.5.
- **Footprint SMA Period** (default 21) — Smoothing period for delta signal.
---
### On Overfitting
One of the design principles of the NORN WEAVE series has been to minimize the number of configurable parameters. More parameters means more room to fit historical data — and less reason to trust that the results will hold going forward.
THURISAZ adds one new parameter: Daily Swing Length. That's it.
The Fibonacci levels themselves (0.382 and 0.618) are not parameters — they are fixed, widely recognized structural levels used by traders across markets and timeframes. They were not chosen by optimizing against backtest data.
The Daily Fibonacci Filter was validated across six symbols (SOL, DOGE, ETH, SUI, NEAR, PEPE). Five of the six showed improvement in profit factor and drawdown. The one exception — PEPE — deteriorated, which is the expected behavior: PEPE's explosive, non-structural price action doesn't respect daily swing context the way trend-following instruments do. A filter that improves everything uniformly would be suspicious. This result is not.
The filter works because the idea behind it is sound, not because it was tuned to work.
---
### Visual Guide
- **EMA line** — 3-layer glow. Teal when rising, red when falling.
- **Dow Theory zones** — gradient fill from current swing level to current price.
- **Daily Fibo lines** — gold lines at 0.382 and 0.618 of the daily swing. Shaded zone between them marks where entries are blocked.
- **TP lines** — semi-transparent. TP1 faintest, TP3 most visible.
- **BE Stop line** — gold, appears only when active.
- **Gray background** — ADX below threshold. No entries.
- **Orange background** — Footprint Delta Filter blocking entry, or Daily Fibo mid zone active.
- **Status table** — real-time display of all conditions. Japanese/English toggle included. Daily Fibo status shown as: Same Dir / Mid Zone (blocked) / Shallow (TP adjusted) / Deep (reversal watch).
---
---
### 概要
NORN WEAVE ᚦ THURISAZ は、URUZを土台とした NORN WEAVE シリーズ第3バージョンです。
コアロジックは変わっていません——EMAの傾き・ダウ理論のスイング構造・ADXトレンド確認。変わったのはエントリーフィルターです。THURISAZは、すべてのトレードの前に一つの問いを加えます。*日足でみたとき、今どこに立っているのか？*
URUZは「生き残る」ために設計されました。THURISAZは「選ぶ」ために設計されています。悪いエントリーは資金を失うだけでなく、時間・証拠金・集中力を消費します。このバージョンの目標は、現在足ではシグナルが正しく見えても、大きな地形では立ってはいけない場所へのエントリーを止めることです。
哲学は変わっていません。まず生き残る、利益はその次。THURISAZは三つ目の原則を加えます——*立つべきでない場所には立たない。*
---
### 追加機能：日足フィボフィルター
THURISAZは、相場の地形を把握するための「日足フィボナッチフィルター」を新たに導入しました。
現在足のトレンドと日足のトレンドが同じ方向の場合、ストラテジーはURUZとまったく同じ挙動をします——追加の制約はありません。
方向が逆の場合、THURISAZはフィボナッチリトレースメント水準（0.382・0.618）を使い、日足スイングのどの位置に価格があるかを評価します。
- **中間ゾーン（0.382〜0.618）** — 価格が日足レンジの真ん中にある状態。「踊り場」と呼ぶべき位置で、押し目・戻しが途中で止まって反転する可能性が最も高い。エントリーをブロックします。
- **浅いゾーン（0.382以下）** — 押し目・戻しがまだ浅い段階。エントリーは許可しますが、TP1を通常のATRベースから日足フィボ0.382水準に調整します。自然な抵抗ゾーンの手前で部分利確します。
- **深いゾーン（0.618以上）** — 大きく押し込まれた位置。反転の可能性がある水準として通常通りエントリーします。
日足のスイング検出期間は現在足のフォーカスレベルとは独立して設定できます。
---
### エントリー条件
**ロング：** EMA上向き AND ダウ理論上昇 AND ADXしきい値以上 AND 日足フィボゾーン許可 AND フットプリントデルタ買い優勢（フィルター有効時）
**ショート：** EMA下向き AND ダウ理論下降 AND ADXしきい値以上 AND 日足フィボゾーン許可 AND フットプリントデルタ売り優勢（フィルター有効時）
---
### イグジット条件
- TP1 — ATR×倍率×1 → 30%決済（逆張り・浅いゾーン時はフィボ0.382水準）
- TP2 — ATR×倍率×2 → さらに30%決済
- TP3 — ATR×倍率×3 → さらに30%決済
- ストップロス — エントリーから設定%に達したら全決済
- ブレークイーブンストップ — 含み益がBE発動しきい値%に達したらストップが建値に移動。価格が戻ったら全決済
- トレンド反転 — ダウ理論スイングが逆転した時点で全決済
---
### フォーカスレベルとオートキャリブレーション
URUZから変更なし。フォーカスレベルが主軸ノブです。新しい銘柄・時間足に適用するときはここを最初に調整してください。
オートキャリブレーションをONにすると、ADXしきい値・ATR倍率・SLがチャートのボラティリティデータから自動算出されます。
---
### ブレークイーブンストップ
URUZから変更なし。設定項目は一つ——「何%動いたら発動するか」だけ。ストップ位置は常に建値です。
---
### フットプリント・デルタフィルター *（Premiumプラン以上が必要）*
URUZから変更なし。BTCまたはETHのフットプリントデルタを方向性確認フィルターとして使用します。
---
### パラメーター
- **フォーカスレベル**（デフォルト13）— 主軸ノブ。スイング検出・EMAスケールを制御。
- **EMAスケール倍率**（デフォルト5）— EMA期間 = フォーカスレベル × この値。
- **日足スイング検出期間**（デフォルト10）— 日足フィボ計算に使うスイング検出期間。フォーカスレベルとは独立。
- **日足フィボゾーン表示**（デフォルトON）— 0.382・0.618ラインをチャートに表示。
- **オートキャリブレーション**（デフォルトON）— ADXしきい値・ATR倍率・SLを自動算出。
- **BE発動しきい値%**（デフォルト5.5%）— エントリーからこの%動いたらBEストップが発動。
- **ATR倍率**（手動）— オートキャリブレーションOFF時に有効。デフォルト3.8。
- **損切り%**（手動）— オートキャリブレーションOFF時に有効。デフォルト-10.0%。
- **ADXしきい値**（手動）— オートキャリブレーションOFF時に有効。デフォルト20.5。
- **フットプリントSMA期間**（デフォルト21）— デルタシグナルの平滑化期間。
---
### 過剰最適化について
NORN WEAVE シリーズの設計方針の一つは、パラメーター数をできる限り減らすことでした。パラメーターが増えるほど過去データへの過剰適合が起きやすくなり、将来の結果を信頼する根拠が薄れるからです。
THURISAZで追加したパラメーターは「日足スイング検出期間」の一つだけです。
フィボナッチ水準（0.382・0.618）自体はパラメーターではありません——バックテストデータを最適化して選んだ値ではなく、多くのトレーダーが長年にわたって参照してきた普遍的な構造水準です。
日足フィボフィルターは6銘柄（SOL・DOGE・ETH・SUI・NEAR・PEPE）で検証しました。そのうち5銘柄でPFとDDが改善しました。唯一悪化したのはPEPEですが、これは想定内の結果です——PEPEの急騰急落型の値動きは日足スイング構造を参照するロジックとそもそも相性が悪い。すべての銘柄で一様に改善するフィルターの方が、むしろ過剰最適化を疑うべきです。
このフィルターが機能するのは、チューニングの結果ではなく、背後にある考え方が正しいからだと考えています。
---
### チャートの見方
- **EMAライン** — 3層グロー効果。上向きはティール、下向きはレッド。
- **ダウ理論ゾーン** — 現在のスイングレベルから現在価格へのグラデーション。
- **日足フィボライン** — 日足スイングの0.382・0.618をゴールドラインで表示。その間のシェードが「踊り場ゾーン（エントリーブロック）」。
- **TPライン** — 半透明。TP1が最も薄く、TP3が最も濃い。
- **BEストップライン** — ゴールド。発動中のみ表示。
- **グレー背景** — ADXがしきい値以下。エントリーなし。
- **オレンジ背景** — フットプリントデルタフィルターがブロック中、または日足フィボ踊り場ゾーンが有効。
- **ステータステーブル** — 全条件・パラメーター値をリアルタイム表示。日英切り替え対応。日足フィボの状態は「同方向 / 踊り場（ブロック）/ 浅い（TP調整）/ 深い（反転狙い）」で表示。 Strategi
Indikator
Indikator
Anchored VWAP ChannelAnchored VWAP Channel — Regime, Confluence & Reversals
What it is
This is a single overlay that builds a complete read of price around one Anchored VWAP. Instead of just drawing a VWAP line, it wraps the VWAP in a volatility channel and then layers the context a discretionary trader normally checks by eye — where price sits versus fair value, whether the move is trending or stretched, where high-volume and Fibonacci levels line up, and where the edges are getting rejected. Everything is derived from the same anchor and measured in the same volatility unit (one standard deviation, σ), so the pieces describe one structure rather than competing with each other.
It runs on any asset class and any timeframe. On instruments that carry real volume (stocks, futures, crypto, etc.) the VWAP, the channel, and the volume profile are fully volume-weighted; on feeds without real volume it falls back gracefully and flags the change in the table (see "Notes and limitations").
Why these components are combined (and how they work together)
This is intentionally a mashup, and the parts are chosen because they answer different questions about the same reference point:
• The Anchored VWAP is the fair-value anchor — the volume-weighted average price since a chosen pivot.
• The channel turns dispersion around that anchor into a measurable unit: the bands are the AVWAP ± k·σ, where σ is the volume-weighted standard deviation of price about the VWAP. This converts "how far is price from fair value" into a number (σ-distance) every other module can reuse.
• The regime read uses that σ-distance together with the VWAP slope and the band behaviour to label continuation vs reversal — so the same channel that draws the bands also tells you whether to trust a band tag or fade it.
• The volume profile (Point of Control + Value Area) is computed over the same anchored window, so the high-volume price and the value range are measured on exactly the data the VWAP is built from — not an arbitrary separate lookback.
• The Fibonacci grid is drawn on the active swing leg and is only emphasised where a level coincides with the VWAP, a band, or the POC. The channel and profile are what make a fib level meaningful here; on their own the fib levels would be just lines.
• The reversal signals fire on outer-band rejections, and the optional confluence filter suppresses them while the regime is strongly trending (when band tags tend to continue) — i.e. one module gates another.
In short: the channel produces a σ-distance, and the regime, profile, fib confluence, reversal logic, divergence and squeeze modules all consume that single shared measurement. That shared plumbing is the reason these are bundled into one script instead of run as six separate indicators.
What it plots
• Anchored VWAP centerline with a glow halo, colored by slope direction.
• Channel bands at ±1σ and ±2σ. The fill can be a "reversion heat" gradient (denser toward the outer band, red above the VWAP, green below) or a neutral glow, or off.
• Volume profile drawn as a translucent Value Area box (VAL→VAH) with a distinct POC line — kept visually and positionally separate from the fib lines so the two are never confused.
• Fibonacci grid (active-leg retracement, plus optional swing-to-swing), with confluence levels marked by a star and a brighter tone.
• Signals: trend-shift triangles on VWAP reclaim/loss; solid reversal labels on band rejections; diamonds and connecting lines for σ-distance divergence; a marker on volatility-squeeze release.
• Status table (single panel): regime, bias, σ-distance, AVWAP, POC, Value Area, squeeze state, divergence, a reversion stop/target/RR template, a data-health row, multi-timeframe regime agreement, and a built-in legend.
• Optional forward projection cone and an optional self-calibration panel that scores how past signals resolved.
Anchor modes
Rolling (fixed bar window), Swing Low, Swing High, or Dual (auto — anchors to the more recent significant pivot). Pivot detection uses bar-count lookbacks (8/13/21/34/55/89), so the entire tool self-scales to any timeframe.
How to use it
1. Read the table first: regime + σ-distance tell you whether price is trending or stretched, and how far from fair value it is.
2. Use the bands as context — near the centerline is fair value; the ±2σ edge is where reversion risk is highest (and the heat fill shades it).
3. Treat reversal labels as fade-the-stretch signals, strongest when the regime is not trending and when a divergence diamond agrees.
4. Use trend-shift triangles (VWAP reclaim/loss) for continuation context.
5. Use fib-confluence stars and the Value Area box / POC as the levels most likely to react.
6. Check multi-timeframe agreement in the table before acting.
7. Optionally turn on the calibration panel to see, on your own symbol and timeframe, how often each signal type has historically followed through.
What makes it original
• A single shared σ framework: bands, regime, divergence, reversals and risk template all read from one volume-weighted standard-deviation measurement around one anchor, rather than bolting unrelated indicators together.
• Reversion-heat channel fill that encodes reversion risk as color density.
• Confluence-filtered reversals — band rejections gated by regime/divergence.
• Volume profile rendered as a separated zone so it never blends into the fib levels.
• A transparent self-calibration panel that scores the script's own signals against a follow-through threshold (descriptive, not a backtest).
Key settings
• Calculation Source — works on any asset/market; default hlc3, switchable to close, hl2, ohlc4, etc.
• Anchor mode and pivot/rolling length.
• Inner/outer band multipliers and fill style.
• Signal sensitivity, session-open filter, reversal-confirmation strictness.
• Table position / text size / legend, and toggles for every module.
Notes and limitations
• Signals are evaluated on closed bars; the σ-distance divergence confirms a few bars after a pivot by design, so it prints late (this is normal for pivot-based divergence and is not repainting of confirmed history).
• Last-bar drawings (profile, fib, projection cone) are redrawn on each new bar and will shift forward — that is expected.
• Asset classes / volume: runs on any market and any timeframe. On instruments that carry real volume (stocks, futures, crypto, etc.) the Anchored VWAP, the volume-weighted σ channel, and the Volume Profile (POC / Value Area) are all fully volume-weighted as intended. On feeds with no real volume (e.g. spot forex, some indices / CFDs) the script still works but degrades gracefully: the VWAP becomes a simple anchored mean, the channel uses an unweighted standard deviation, and the profile becomes a time-at-price distribution. The Data row in the table flags this state as "no-vol / DEGRADED" so you always know which mode you are in.
• The multi-timeframe dashboard uses higher-timeframe requests; you can turn it off to reduce load.
• This is an analysis/visualization tool, not a strategy — it does not place orders and is not optimized or backtested for entries/exits.
Disclaimer
This script is provided for educational and informational purposes only and is not financial, investment, or trading advice. It does not predict future prices. Markets carry risk and you can lose money. Past behaviour of any signal (including the calibration panel) does not guarantee future results. Always do your own research and consider consulting a licensed financial professional before trading. You are solely responsible for your decisions and their outcomes.
Indikator
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. Indikator
MTF CVD Synchrony | Rainbow MatrixGENERAL OVERVIEW
MTF CVD Synchrony is a multi-timeframe directional flow oscillator that condenses five independent CVD (Cumulative Volume Delta) readings — one per Fibonacci-spaced timeframe — into a single weighted Master Line on a zero-centered 0-100 scale, surrounded by per-TF "ghost lines" that fade visually as they diverge from the consensus. The defining feature: 50 is true neutral. Above 50 means buyers are dominating; below 50 means sellers are dominating. The further from 50, the stronger the directional pressure. When the five timeframes align, the rainbow becomes a solid band; when they diverge, the disagreement becomes a visible density property of the indicator itself.
A background histogram visualizes the Master score's deviation from the neutral 50 line — green columns extend up when buyers dominate, red columns extend down when sellers dominate. A compact 7×9 MTF Legend Table surfaces every dimension simultaneously: per-TF resolutions, score values, trend direction, divergence flags, raw flow magnitude, and named directional State — with an antenna marker flagging the row whose timeframe matches your chart's native resolution.
Designed as the directional member of a three-indicator family. Apply all three side-by-side for a complete read: MTF RSI Synchrony shows where price sits in its momentum range; MTF Volume Delta Bar Synchrony shows whether the move has volume magnitude behind it; MTF CVD Synchrony shows who is actually winning — buyers or sellers. Same visual signature, same canonical Fibonacci ratios, same Legend Table layout — instant cross-indicator readability.
WHAT IS THE THEORY BEHIND THIS INDICATOR
Cumulative Volume Delta attempts to answer a question that price and volume alone cannot: in any given bar, were buyers or sellers more aggressive? Traditional volume tells you HOW MUCH traded, but not the DIRECTION of the pressure. A high-volume bar that closes flat tells a very different story from a high-volume bar that closes at its highs — yet raw volume scores them identically.
CVD approximates directional pressure by weighting each bar's volume by where price closed within its range. This indicator uses the Close Location Value (CLV) for that weighting:
clv = ((close − low) − (high − close)) / (high − low)
CLV ranges from +1 (close exactly at the high — maximum buying pressure) to −1 (close exactly at the low — maximum selling pressure), with 0 at the midpoint. Multiplying CLV by volume produces a signed directional contribution per bar: delta_raw = clv × volume. This is more nuanced than the binary tick rule (close > open = buy) used by most "delta" indicators — CLV captures HOW DECISIVELY price closed in its range, not just the sign.
The per-bar delta is then smoothed by EMA and normalized into a bounded 0-100 zero-centered score:
cvd_smooth = EMA(delta_raw, smoothing_length)
max_abs = highest(|cvd_smooth|, normalization_window)
score = 50 + (cvd_smooth / max_abs) × 50
The genius of the zero-centered approach: 50 always means balance, regardless of the asset's structural bias. A score of 75 means buyers are exerting 50% of the maximum recent pressure to the upside; a score of 25 means sellers are exerting 50% of maximum recent pressure to the downside. This is fundamentally different from a percentile rank (which would anchor 50 at the historical median, skewing with structural trends).
Five such scores — one per timeframe (default 5 / 15 / 60 / 240 / D) — are fused via canonical Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15, peak weight on the macro TF3/TF4 where institutional positioning consolidates) into the weighted Master Line.
FEATURES
🔹 Multi-Timeframe CVD Fusion Engine (zero-centered directional scale)
🔹 CVD Histogram (deviation from neutral 50 — green buy / red sell)
🔹 Adaptive Fibonacci Channel (Z-Breathing → Z-Alert → Z-Exhaustion → Black Swan)
🔹 Hybrid Black Swan Zones (static or dynamic — default dynamic)
🔹 Classic Price↔CVD Divergence Detection (per-TF + Master)
🔹 MTF Legend Table (7 columns × 9 rows, with Raw Flow + State, multilingual)
🔹 Multilingual Interface (EN / PT / ES / RU / ZH)
🔹 Multi-Timeframe CVD Fusion Engine
What It Does
Runs five independent CVD scores on Fibonacci-spaced timeframes and fuses them into a single weighted Master Line, with each per-TF reading plotted as a ghost line that fades by distance to the consensus.
Method
On each timeframe, f_cvd_full() computes CLV × volume per bar, smooths it via EMA, and normalizes against a rolling-max window to produce the zero-centered score. The five scores fuse via Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15). Both smoothing length and normalization window are independently configurable per timeframe.
Per-TF smoothing defaults (Wilder-anchored on TF3+TF4):
◇ TF1 (5m): 7 — scalping
◇ TF2 (15m): 10 — day-trading
◇ TF3 (60m): 14 — Wilder canonical
◇ TF4 (240m): 14 — Wilder canonical
◇ TF5 (D): 21 — swing/position
Per-TF normalization windows (each TF's natural horizon):
◇ TF1: 30 (≈2.5h on 5m)
◇ TF2: 50 (≈12.5h on 15m)
◇ TF3: 80 (≈3.3 days on 1h)
◇ TF4: 100 (≈16 days on 4h)
◇ TF5: 150 (≈5 months on Daily)
All request.security calls use lookahead=barmerge.lookahead_off for anti-repaint integrity.
Why It Matters
A 5-minute buy surge means little if the 4-hour and daily flows are decisively selling. The fusion engine reveals whether directional pressure is aligned across timescales (high conviction) or contradictory (a counter-trend bounce inside a larger trend). The ghost-line rainbow makes that alignment visible at a glance.
🔹 Adaptive Fibonacci Channel
What It Does
Six color-coded bands around the Master Line that adapt to its own recent volatility, using the brand's canonical Fibonacci ratios.
Method
Highest/lowest of the Master over a configurable lookback (default 50) are smoothed by EMA (default 10) to form the channel envelope. Bands sit at canonical Fibonacci proportions: Z-Breathing (1.50/1.85), Z-Alert (1.85σ anchor), Z-Exhaustion (2.75/1.85), Black Swan (3.85/1.85). All six band values are mathematically clamped to before rendering, keeping the rainbow inside the visible pane.
Why It Matters
Static thresholds can't adapt to regime changes. The Fibonacci channel calibrates the warning zones to the asset's current directional-flow volatility, so a "climax" on a calm pair and a "climax" on a volatile one both trigger at appropriate statistical extremes.
🔹 Hybrid Black Swan Zones
What It Does
Flags directional flow climax extremes — either at static 85/15 thresholds (BUY CLIMAX / SELL CLIMAX boundaries) or at the dynamic Fibonacci 3.85σ band.
Method
Dynamic Black Swan Mode is ON by default (Fibonacci 3.85σ proportion of the Master channel). Toggle OFF for static 85/15. Each zone renders as a glow line that brightens as the Master approaches. The static reference lines (15/50/85) are shown by default to anchor the zero-centered scale: 85 = purple (buy climax boundary), 50 = yellow (neutral), 15 = aqua (sell climax boundary).
Why It Matters
Directional flow climaxes mark exhaustion points — a BUY CLIMAX (score ≥ 85) means buyers have pushed to a recent extreme, often preceding a pause or reversal; a SELL CLIMAX (≤ 15) marks capitulation. The dynamic mode self-calibrates per asset and regime.
🔹 Classic Price↔CVD Divergence Detection
What It Does
Detects regular bear divergences (price higher high while CVD makes lower high — rally on weakening buy pressure) and bull divergences (price lower low while CVD makes higher low — selling exhausting). Runs on each timeframe AND on the Master line.
Method
Per-TF divergence runs inside request.security via pivot detection on the per-TF CVD score. Master divergence runs on the chart-TF directly, rendering a connecting line + label between pivots (red bear / green bull) on the pane. Per-TF results surface in the Legend Table's "Div" column.
Why It Matters
Price↔flow divergence is one of the most powerful applications of CVD. When price makes a new high but directional flow doesn't confirm, the rally is running on fading conviction — a classic distribution warning. Detecting this per-TF AND on the Master gives both early granular warnings and high-conviction confirmations.
🔹 MTF Legend Table
What It Does
A compact 7×9 table surfacing every dimension of the analysis at a glance.
Method
Rendered via table.new(force_overlay=false) on the pane. Layout:
◇ Row 0: title (spans all columns)
◇ Row 1: column headers — Indicator / Timeframe / Value / Trend / Div / Raw / State
◇ Rows 2-6: per-TF data
◇ Row 7: Master row ("🌈 Master (~XhYm)" with effective TF)
◇ Row 8: MTF Divergence status row
Per-TF cells show: ● TF label (+ antenna 📡 if chart-native), TF resolution, zero-centered score (zone-colored), trend arrow (±0.5 deadzone), divergence (🔺/🔻/—), Raw Flow (compact K/M/B signed magnitude, green if positive / red if negative), and State (directional name, zone-colored).
Why It Matters
The Raw Flow column complements the Value column: Value answers "how strong is the directional pressure?" (the normalized score), while Raw answers "how much actual volume is behind it?" (the absolute flow). A score of 75 with a small raw magnitude is weaker conviction than 75 with a huge raw magnitude. Together with State, the table tells a complete directional story per timeframe.
🔹 Multilingual Interface
What It Does
Translates all HUD labels, status messages, alert text, Legend Table headers, and directional State names to 5 languages: English, Português, Español, Русский, 中文.
Method
A single language dropdown selects the active language via Pine v6's ternary-chain pattern. Code, comments, and configuration tooltips remain in English by convention.
Why It Matters
The Rainbow Matrix family is built for traders worldwide. Multilingual UI removes friction for non-English-native users.
HOW TO USE
Reading the Pane
◇ Master near 50 with ghost lines tight: balanced flow, no directional edge (absorption / equilibrium).
◇ Master rising above 50: buyers gaining control. Above 62 = BUY PRESSURE; above 71 = STRONG BUY.
◇ Master falling below 50: sellers gaining control. Below 38 = SELL PRESSURE; below 29 = STRONG SELL.
◇ Master touches Black Swan High (≥85, purple glow): BUY CLIMAX — buyers at a recent extreme, watch for exhaustion.
◇ Master touches Black Swan Low (≤15, aqua glow): SELL CLIMAX — capitulation, watch for reversal.
◇ Histogram green/red columns: immediate bar-by-bar directional read around the 50 centerline.
Reading the Legend Table
The antenna marker (📡) flags your chart's native timeframe — start there, then scan up/down to see whether faster/slower TFs confirm or contradict the directional bias. Compare Value (pressure strength), Raw (actual flow magnitude), and State (named classification) for each row. The status row summarizes MTF alignment between TF1 and TF5.
Reading Divergences
Master bear divergence (price up + CVD down) = rally on fading buy conviction, distribution warning. Master bull divergence (price down + CVD up) = selling exhausting, potential bottom. Per-TF divergences in the Div column give early granular warnings.
Tactical Combinations
◇ Master BUY CLIMAX + bear divergence + multiple TFs diverging = strongest reversal-from-high signal.
◇ Master SELL CLIMAX + bull divergence = strongest reversal-from-low signal.
◇ Master near 50 + all TFs near 50 + tight ghosts = absorption / coiling, often precedes a directional break.
◇ Triple confluence (the full family): RSI overbought + Volume EXTREME magnitude + CVD STRONG SELL = distribution at the top. RSI oversold + Volume EXTREME + CVD STRONG BUY = accumulation at the bottom. These three indicators answering momentum + magnitude + direction simultaneously is the strongest read the Rainbow Matrix family offers.
INPUTS EXPLAINED
GLOBAL SETTINGS — System Language (EN/PT/ES/RU/ZH), table/label font sizes.
MULTI-TIMEFRAME — AI Auto-Sync TFs; TF1-TF5 manual resolutions (default 5/15/60/240/D); per-TF CVD Smoothing Length (7/10/14/14/21); per-TF CVD Normalization Window (30/50/80/100/150).
ENGINE — Dynamic Black Swan Mode (default ON); Dynamic Channel Lookback (50) and Smoothing (10); Divergence Pivot Lookback (5).
VISUALIZATION — TF1-TF5 colors + show toggles (all ghost lines OFF by default — only Master visible on install); Ghost Fade Sensitivity (3.5); Show Master Line / Rainbow Fills / Black Swan / Dynamic Channel; Show CVD Histogram; Show MTF Legend Table; Show Divergence Column; Show Raw Flow Column; Show State Column; Show Master Divergence Chart Line; Legend position; Show Divergence Event Markers; Show Static Reference Lines (15/50/85, ON by default).
ALERTS — Black Swan crossings (high/low); Strong MTF Divergence; Z-Exhaustion zone entries; Master Classic Divergence.
IMPORTANT NOTES
🔸 Pine Script v6 — uses request.security with lookahead=barmerge.lookahead_off. 16 total security calls (5 CVD score + 5 per-TF divergence + supporting channel calculations). Chart load may take a moment longer than a single-TF indicator.
🔸 CLV approximation, not order-flow tick data — Directional pressure is approximated via the Close Location Value (where price closed within each bar's range), NOT real bid/ask order flow. Pine Script v6 has no tick-by-tick data access in indicator scripts. CLV is a more nuanced approximation than the binary tick rule used by most free-tier "delta" indicators, but it remains an approximation. For true order-flow delta, use dedicated footprint/order-flow tools.
🔸 Zero-centered scale — Unlike the percentile-rank siblings (RSI, Volume Delta Bar), this indicator's 50 is a TRUE neutral (zero net directional flow), not a historical median. This is intentional — direction is inherently signed, so a fixed zero-point is more meaningful than a regime-relative median.
🔸 Normalization warmup — During the first normalization_window bars on each TF, the rolling-max anchor (max_abs) is built from a small sample, so early bars may show exaggerated swings until the window fills. Normal warmup behavior for any rolling-window indicator.
🔸 Repaint behavior — Historical bars use confirmed close data; the current real-time bar updates as ticks arrive. Pivot-based divergence requires confirmation bars before triggering (standard pivot divergence behavior).
🔸 Fibonacci ratios are canonical — The channel proportions (1.50/1.85/2.75/3.85) and fusion weights (0.15/0.20/0.25/0.25/0.15) match the Rainbow Matrix brand standard across all sibling indicators, preserving cross-indicator visual consistency.
🔸 License: MPL 2.0 — open source. Free to fork, modify, and republish under the same license terms.
UNIQUENESS
Three pillars differentiate this from other CVD indicators on TradingView:
1. Multi-timeframe CVD fusion with synchrony as a visual property. Most CVD tools run on a single timeframe. This indicator runs five, fuses them via Fibonacci weights, and expresses directional alignment as a rainbow density — solid when timeframes agree on direction, spread when they disagree. The cross-TF directional consensus becomes immediately readable.
2. True zero-centered scale with CLV weighting. The 50 midpoint is a mathematically meaningful neutral (zero net flow), not a regime-skewed median. And the directional weighting uses Close Location Value — capturing how decisively price closed within each bar's range — rather than the cruder binary tick rule. This combination produces a directional read that stays honest across structural trends.
3. Three complementary readings in one Legend Table, designed as a family. Value (pressure strength), Raw Flow (actual magnitude), and State (named classification) disambiguate a single timeframe's directional picture. And as the directional member of the Rainbow Matrix trio (alongside RSI for momentum and Volume Delta Bar for magnitude), it completes a three-dimensional read of any market: where price is, how big the move is, and who's winning.
Rainbow Matrix AI | Multi-timeframe institutional analysis tools for traders.
🌐 rainbowmatrix.ai
✉️ Contact: contact@rainbowmatrix.ai
Indikator
Multi Trend FilterOverview
Multi Trend Filter shows the market's underlying trend with a single, clean line. It uses the Daily timeframe as the base, then layers 4H and 30m confirmation on top, coloring the trend in three intuitive states: green / yellow / red. No matter which chart timeframe you view it on (15m, 1h, 4h, etc.), it stays consistent on the Daily basis, and a two-pass smoothing keeps the line smooth on any chart.
WHAT THE COLORS MEAN
Green (UPTREND): Uptrend confirmed.
Yellow (TRANSITION): Trend is shifting — awaiting confirmation.
Red (DOWNTREND): Downtrend confirmed.
HOW IT WORKS — 3-STAGE MULTI-TIMEFRAME CONFIRMATION
Set the broad direction with higher timeframes first, then confirm the entry with the lower timeframe last.
Daily (Base / Reference line) — the line drawn on the chart; the anchor of the larger trend.
4H (Primary confirmation) — when both the close and the 4H flow align above/below the Daily line, the base direction is set.
30m (Final confirmation) — in that base direction, once the candle body closes across the 30m line, the color is finalized:
Close closes ABOVE the 30m line → Green
Close closes BELOW the 30m line → Red
Yellow (Transition) is the period before both stages confirm — the 4H hasn't committed yet, or it has but the close hasn't cleared the 30m line. Once green/red is confirmed, the color ignores minor noise while the base holds (latch), so it won't flicker.
HOW TO READ IT
Green: uptrend intact. Look for pullback entries.
Red: downtrend intact. Look for bounce exits / stay aside.
Yellow: direction unclear; safer to wait until it confirms green/red.
Yellow to Green = bullish shift. Yellow to Red = bearish shift.
KEY SETTINGS
Trend Line — First / Second Smoothing Length: line smoothness and responsiveness.
Display Smoothing — Smooth Line, Smooth Strength: keeps the line smooth on any timeframe (higher = smoother, slightly more lag).
Confirmation Lines — Show 30m Line (Signal) / Show 4H Line (Base): reveal the lines used for confirmation.
Style — up/down/transition colors, line width, fill and transparency, trend label.
TIPS
Use it as a trend direction and shift filter, not a standalone trade signal.
Reliability increases when the trend color agrees with your own setup (support/resistance, volume, etc.).
If the line looks choppy, raise Smooth Strength.
DISCLAIMER
This indicator is a reference tool to help judge trend direction. It does not guarantee trading profits. All trading decisions and responsibility rest solely with the user. Indikator
MTF Volume Delta Bar Synchrony | Rainbow MatrixGENERAL OVERVIEW
MTF Volume Delta Bar Synchrony is a multi-timeframe volume percentile fusion oscillator that condenses five independent volume readings — one per Fibonacci-spaced timeframe — into a single weighted Master Line, surrounded by per-TF "ghost lines" that fade visually as they diverge from the consensus. When the five timeframes align, the rainbow becomes a solid band; when they spread apart, the disagreement becomes a visible density property of the indicator itself. A compact 7×9 MTF Legend Table surfaces every dimension simultaneously: per-TF volume percentile values, trend direction, divergence flags, Pulse magnitude ratio, and named State classification — with an antenna marker flagging the row whose timeframe matches your chart's native resolution.
Optional Delta Twin Bars project per-candle directional overlays directly onto the price chart via force_overlay=true, combining the oscillator pane and an order-flow approximation in a single indicator. A hybrid Black Swan zone detects volume climax (surge) and squeeze (drought) extremes — either as static 80/20 thresholds (classic) or as a dynamic Fibonacci-scaled channel that adapts to recent volatility. A classic price↔volume divergence engine detects Wyckoff-style "no demand" rallies and selling-climax bottoms on every timeframe and on the Master line.
Designed as a sibling to the MTF RSI Synchrony indicator. Apply both side-by-side for the complete momentum + volume picture: RSI shows where price sits in its momentum range; Volume Synchrony shows whether the move has institutional backing. Same visual signature, same canonical color zones, same Legend Table layout — instant cross-indicator readability.
WHAT IS THE THEORY BEHIND THIS INDICATOR
Most volume indicators on TradingView operate on a single timeframe — volume bars, OBV, CVD approximations — and report raw, unbounded volume values that vary wildly across timescales. A 5-minute volume bar of 50,000 contracts is meaningless without context: is that "high" for 5-minute bars on this asset, or "low"? Compared to what window? A trader watching a 5-minute chart cannot intuitively cross-reference whether that surge corresponds to anything notable on the 4-hour view.
This indicator solves the cross-timescale comparison problem by bounding every volume reading to a 0-100 percentile rank: the same scale, regardless of timeframe, regardless of asset. The percentile answers a single question: "where does this bar's volume sit in the distribution of recent volume on this timeframe?" — a number anyone can read at a glance.
Five percentile readings are then fused via canonical Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15 — peak weight on the macro TF3/TF4 where institutional consolidation tends to occur) into a single weighted Master Line. The Master adapts to a self-calibrating Fibonacci channel built from its own highest/lowest values over a configurable lookback, smoothed by EMA. Channel boundaries use the brand's canonical ratios: Z-Breathing (1.50σ), Z-Alert (1.85σ anchor), Z-Exhaustion (2.75σ), Black Swan (3.85σ) — same proportions as the RSI sibling for cross-indicator consistency.
The result is a volume picture that updates in real time, accounts for five timescales simultaneously, encodes "synchrony" itself as a visible rainbow density property, and triggers as an alertable signal when extremes converge.
FEATURES
🔹 Multi-Timeframe Volume Percentile Fusion Engine
🔹 Adaptive Fibonacci Channel (Z-Breathing → Z-Alert → Z-Exhaustion → Black Swan)
🔹 Hybrid Black Swan Zones (static 80/20 or dynamic Fibonacci-scaled)
🔹 Classic Price↔Volume Divergence Detection (per-TF + Master)
🔹 MTF Legend Table (7 columns × 9 rows, multilingual)
🔹 Volume Profile Reading (Pulse magnitude + State classification — 7-tier vocabulary)
🔹 Delta Twin Bars (per-candle chart overlay with 4 display modes + live intra-bar updates)
🔹 Multilingual Interface (EN / PT / ES / RU / ZH)
🔹 Multi-Timeframe Volume Percentile Fusion Engine
What It Does
Aggregates five independent volume percentile readings — one per Fibonacci-spaced timeframe — into a single weighted Master Line. Each per-TF reading is plotted as a "ghost" line that fades by distance to the Master, so the rainbow becomes a visual representation of multi-timeframe consensus.
Method
Default timeframes are 5 / 15 / 60 / 240 / D (Trigger / Intraday / Macro 1 / Macro 2 / Base). On each timeframe, ta.percentrank(volume, length) produces a 0-100 percentile rank with lookahead=barmerge.lookahead_off for anti-repaint integrity. The five percentiles are fused via canonical Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15 — peak weight on TF3 and TF4 where institutional volume tends to consolidate). The Master itself is then clamped to for pane containment.
Per-TF length defaults are tuned to each timeframe's natural look-back window:
◇ TF1 (5m): 30 bars = 2.5 hours
◇ TF2 (15m): 50 bars = 12.5 hours
◇ TF3 (60m): 80 bars = 3.3 days
◇ TF4 (240m): 100 bars = 16 days
◇ TF5 (D): 150 bars = ~5 months
Set any per-TF override to 0 to inherit the global default (50). One-size-fits-all 50 bars across timeframes either lags on TF1 (16 hours of stale 5-minute history) or feels too reactive on TF5; the per-TF defaults match each horizon's natural cadence.
Why It Matters
Volume distribution is regime-dependent and timeframe-dependent. A single timeframe view can miss whether a 5-minute volume surge is the leading edge of a broader institutional move (visible on TF3/TF4) or a one-off scalper spike. The fusion engine surfaces alignment and disagreement instantly.
🔹 Adaptive Fibonacci Channel
What It Does
Renders six color-coded bands around the Master Line that adapt to its own recent volatility, using the brand's canonical Fibonacci ratios.
Method
Highest/lowest of the Master over lookback_dyn bars (default 50) are smoothed by EMA (default 10) to form dyn_up and dyn_dn. Channel bands are placed at canonical Fibonacci proportions:
◇ Z-Breathing: 1.50/1.85 ≈ 0.811 of half-channel
◇ Z-Alert: anchor at 1.85σ (the channel boundary itself)
◇ Z-Exhaustion: 2.75/1.85 ≈ 1.486
◇ Black Swan: 3.85/1.85 ≈ 2.081
All six band values are mathematically clamped to before rendering, so the rainbow stays inside the visible pane in volatile regimes (no auto-scale stretching). The algorithm itself is preserved bit-exact; only the rendered values are bounded.
Why It Matters
Static thresholds (e.g., 80/20) cannot adapt to regime changes. During a low-volatility consolidation, "70" might be a meaningful surge; during a news-driven trend, "70" might be the new baseline. The Fibonacci channel calibrates the warning levels to the asset's current regime, so the alerts stay informative regardless of market state.
🔹 Hybrid Black Swan Zones
What It Does
Flags volume climax (surge) and squeeze (drought) extremes either at static 80/20 thresholds (top 20% / bottom 20% historically) or at the dynamic Fibonacci 3.85σ band, depending on the operator's preference. Each zone is rendered as a glow line that brightens proportionally as the Master approaches.
Method
By default, Dynamic Black Swan Mode is ON for this indicator (matching the volume distribution's wider range vs canonical RSI). The Black Swan high/low values become osc_up4 / osc_dn4 — the Fibonacci 3.85σ proportion of the Master's channel. Toggle the mode OFF to revert to static 80/20 (top/bottom 20% volume thresholds — classic).
The proximity glow uses the canonical f_calc_glow pattern: transparency = 95 - (1 - dist/range) × 75, where range is the half-channel width. At zero distance, transparency = 20 (solid); at full range distance, transparency = 95 (invisible).
Why It Matters
Black Swan events on volume mark institutional climax moments — news breakouts, capitulation, distribution. The dynamic mode lets the indicator self-calibrate per asset and per regime, so a "climax" on a calm Forex pair and a "climax" on a meme stock both trigger at the appropriate statistical extremes rather than at an arbitrary 80% line.
🔹 Classic Price↔Volume Divergence Detection
What It Does
Detects regular bear divergences (price makes higher high while volume percentile pivot makes lower high — Wyckoff "no demand" rally) and regular bull divergences (price makes lower low while volume percentile pivot makes higher low — selling climax / capitulation). Runs on every individual timeframe AND on the Master line directly.
Method
For each TF, f_classic_divergence_vol(length, lookback) runs inside request.security: it detects pivot highs/lows on the per-TF volume percentile via ta.pivothigh / ta.pivotlow, captures pivot values using ta.valuewhen, and compares the current pivot vs the previous pivot. Default pivot lookback is 5 bars (matches the community standard).
Master divergence runs on the chart-TF directly (no request.security), so it always reflects the current chart resolution's pivot structure. When detected, it renders a connecting line + label between the two pivots on the indicator pane (red for bear, green for bull) and triggers the alert_divergence_native alert if enabled.
Per-TF divergence surfaces in the Legend Table's "Div" column: 🔻 for bear, 🔺 for bull, — for none. Multiple timeframes showing the same divergence direction = stronger conviction signal.
Why It Matters
Divergences between price and volume have been a cornerstone of Wyckoff/Volume Spread Analysis for decades. Most TradingView divergence indicators run on a single timeframe — by detecting per-TF AND Master simultaneously, this indicator surfaces both fast warnings (TF1 divergence) and high-conviction confirmations (Master + multiple TFs aligning).
🔹 MTF Legend Table
What It Does
Compact 7×9 table positioned in a configurable chart corner. Surfaces every dimension of the analysis at a single glance: per-TF resolutions, volume percentile values, trend direction, divergence status, Pulse magnitude, named State classification, plus a Master row and a status row.
Method
The table is rendered via table.new(force_overlay=false) on the indicator pane (kept off the price chart for mobile readability). Per-TF cells use:
◇ Col 0: ● TF label (matches ghost line color) + 📡 antenna marker if this TF == chart's native resolution
◇ Col 1: TF resolution string ("5", "15", "60", "240", "D"...)
◇ Col 2: Volume percentile value (color-coded by zone via the thermal matrix)
◇ Col 3: Trend arrow ▲ rising / ▼ falling / ▬ flat (±0.5 percentile point deadzone to avoid flicker)
◇ Col 4: Div indicator 🔺 bull / 🔻 bear / — none
◇ Col 5: Pulse magnitude ratio (color-coded by intensity tier)
◇ Col 6: State name (multilingual EXTREME / HIGH / ELEVATED / NORMAL / LOW / COMPRESSED / SQUEEZE)
The Master row (row 7) merges cols 0-1 into "🌈 Master (~XhYm)" — the "~XhYm" suffix is the geometric weighted mean of the 5 TF resolutions (same weights as the Master volume fusion), giving you the "effective timeframe" the Master is reading. The status row (row 8) merges cols 0-6 and shows the MTF Divergence summary: Aligned / Strong Top / Strong Bottom / Moderate Top / Moderate Bottom — with background color matching the severity.
All header strings, status messages, and state names support 5 languages via the System Language input (English / Português / Español / Русский / 中文).
Why It Matters
The Legend Table compresses what would otherwise require 5 separate chart panels into a single ~150-pixel-wide compact widget. The antenna marker is especially useful on mobile: it tells you instantly which row is "your" timeframe, so you can scan up/down to see whether faster/slower TFs confirm or contradict.
🔹 Volume Profile Reading — Pulse Magnitude + State Classification
What It Does
Two complementary readings that answer different questions about volume — both surfaced as dedicated columns in the Legend Table.
Method — Pulse Column
Pulse is the ratio volume / SMA(volume, length) per TF. 1.0× = volume at the baseline; below = drought; above = elevated. Color-coded by intensity tier:
◇ < 0.5× → aqua (drought extreme)
◇ 0.5-0.8× → teal (below baseline)
◇ 0.8-1.3× → gray (typical)
◇ 1.3-2.0× → yellow (elevated)
◇ 2.0-3.5× → orange (high activity)
◇ 3.5-6.0× → red (surge)
◇ ≥ 6.0× → purple (climax extreme)
Pulse values cap display at "9.9x+" to avoid overflow in narrow cells.
Method — State Column
State classifies the percentile rank into 7 named tiers using a multilingual dictionary:
◇ ≥ 85 → EXTREME (purple zone — top 15% historically)
◇ 71-85 → HIGH (red — top 30%)
◇ 62-71 → ELEVATED (orange)
◇ 38-62 → NORMAL (yellow / green — middle 24%)
◇ 29-38 → LOW (teal)
◇ 15-29 → COMPRESSED (blue)
◇ ≤ 15 → SQUEEZE (aqua — bottom 15%)
Why It Matters
Pulse and State answer different questions about the same volume reading:
◇ Value (percentile column 2): "Where in the historical distribution?" — a ranking answer.
◇ Pulse (column 5): "How intense vs recent baseline?" — a magnitude answer.
◇ State (column 6): "What's the human-readable label?" — a vocabulary answer.
These three columns together tell a complete story. A bar can be at Percentile 60 (NORMAL state) with Pulse = 3.5x (red surge) — meaning: "this bar's volume isn't historically rare, but it's a massive jump versus what's been happening recently." That's a different signal than Percentile 95 / Pulse = 1.0x (EXTREME state but typical magnitude) — meaning: "this is a rare historical bar, but the magnitude is normal relative to recent activity." The columns disambiguate.
🔹 Delta Twin Bars (Chart Overlay)
What It Does
Renders per-candle directional bars on the price chart (via force_overlay=true) whose dimensions encode the selected volume score and whose color encodes buy/sell pressure approximation. Bridges the gap between this script's oscillator pane and the price action itself.
Method
For each candle, the bar size = candle_range × (score / 100) × user_multiplier. The score source is configurable (Master or any TF1-TF5; default TF1 Trigger for the most responsive read).
Four display modes:
◇ Fixed High: bar always projects above the candle high (regardless of direction)
◇ Fixed Low: bar always projects below the candle low
◇ Dynamic: buy candles get bar above high, sell candles get bar below low (intuitive directional reading)
◇ Dynamic Inverted (default): buy candles get bar BELOW low, sell candles get bar ABOVE high — an order book metaphor where buy pressure builds support and sell pressure presses resistance
Bar color follows the user-configured buy/sell colors (green / red by default — matching the OHLC tick rule: close > open = buy bias, close < open = sell bias). An optional toggle ("Use Master Line Color") overrides this with the Master zone color via the thermal matrix — giving rainbow-colored bars that match the pane oscillator.
Bar width is pixel-controlled (1-8, default 8) via line.new with the user-selected linewidth — visually independent of chart zoom, distinguishable from candle wicks at any chart density.
Two update modes:
◇ Live (default): the current bar's twin bar updates on every tick — score, direction, and color reflect real-time data. When the bar closes, the live line is "frozen" into the confirmed pool. One additional persistent line is used (zero pool overhead).
◇ Confirmed-only: twin bar appears only when the candle closes (useful for backtesting comparisons where intra-bar flicker is unwanted).
The last 500 bars are rendered (Pine v6 line pool limit) with rolling FIFO management — older candles fall out of the pool and lose their twin bar, but the most recent 500 stay live.
🚨 Honest tick-rule disclosure
The buy/sell direction encoding uses the OHLC tick rule — close > open = buy bias, close < open = sell bias. This is NOT order-flow tick-data delta. Pine Script v6 has no tick-by-tick data access in indicator scripts on the free tier. The OHLC approximation is what virtually every "delta" indicator on TradingView free uses; this script discloses it transparently rather than claiming real order flow.
For most use cases (visual confirmation, trend bias, magnitude readings) the OHLC approximation captures the essential information. Traders who need true bid/ask delta should look at paid Order Flow tools or Sierra Chart / Bookmap.
Why It Matters
The Delta Twin Bars combine two analytical layers in a single indicator: the oscillator pane (Master fusion + ghost lines + Legend Table) and the chart overlay (per-candle directional reference). Most TradingView indicators force users to choose between oscillator-only or overlay-only paradigms; this script delivers both via force_overlay=true on selectively-rendered lines, preserving full pane functionality while adding a quick visual reference directly on the price candles.
🔹 Multilingual Interface
What It Does
Translates all HUD labels, status messages, alert text, state classifications, and Legend Table headers to 5 languages: English (default), Português, Español, Русский, 中文 (Chinese). 33 multilingual keys are maintained across all 5 languages.
Method
A single language dropdown input (in the GLOBAL SETTINGS group) selects the active language. The script uses Pine v6's _l == "PT" ? ... : _l == "ES" ? ... ternary chain pattern for each translated string, evaluated once at startup. Configuration tooltips, variable names, and code comments remain in English by convention — this script is designed to be readable to developers globally.
Why It Matters
Trading is a global activity. The Rainbow Matrix product family is designed for traders worldwide; multilingual UI removes a friction point for non-English-native users without adding development overhead.
HOW TO USE
Reading the Rainbow (Pane Oscillator)
◇ Master between 30 and 70 with all 5 ghost lines solid: typical volume profile, no anomaly to flag.
◇ Master entering Z-Alert (orange / teal bands): notable volume deviation — watch for follow-through confirmation across timeframes.
◇ Master in Z-Exhaustion (red high / blue low): elevated probability of climax or drought completing.
◇ Master touches Black Swan High (purple glow): volume climax event — statistically rare top-of-distribution moment, often coincides with news catalysts, breakouts, or capitulation.
◇ Master touches Black Swan Low (aqua glow): volume drought / squeeze — extreme compression, often precedes breakouts when paired with price consolidation.
Reading the Legend Table
The antenna marker (📡) flags your chart's native timeframe. Start your read there, then scan up/down the table to see whether faster/slower TFs confirm or contradict the current volume bias. Look at the relationship between Value (where in distribution), Pulse (how intense vs baseline), and State (named tier) for each row — divergences between these three readings within a single TF are early warnings.
The status row at the bottom summarizes MTF divergence: Aligned (TFs in agreement, default), Strong Top (TF1 ≥ 70 vs TF5 ≤ 30 — fast surge with slow drought), Strong Bottom (TF1 ≤ 30 vs TF5 ≥ 70 — fast quiet with slow surge), or Moderate variants of either.
Reading the Delta Twin Bars (Chart Overlay)
Tall bars = high volume score for that candle's TF source. With Dynamic Inverted mode (default), bars projecting BELOW buy candles signal "support building"; bars projecting ABOVE sell candles signal "resistance pressing" — an order book metaphor. Switch to Dynamic mode for a more intuitive directional read (buy bars project up, sell bars hang down). Use Fixed High/Low for cleaner price action when delta-only context is needed.
Reading Divergences
Master divergence (red line + 🔻 label on the pane) = price made a higher high while Master volume percentile made a lower high — Wyckoff "no demand" rally, often precedes reversal. Master bull divergence (green + 🔺) = price made a lower low while Master volume made a higher low — selling climax, often precedes bottom.
Per-TF divergences in the Legend Table's Div column give early granular warning: a TF1 divergence might fire 5-10 candles before the Master confirms. Multiple TFs aligning on the same divergence direction = high-conviction signal.
Tactical Combinations
◇ Master Black Swan High + Strong Top divergence + Bear Master divergence simultaneously = strongest reversal signal from highs.
◇ Master Black Swan Low + Strong Bottom divergence + Bull Master divergence = strongest reversal signal from lows.
◇ Master SQUEEZE state + multiple TFs SQUEEZE state + Pulse < 0.5x = pre-breakout compression — often precedes expansion events.
◇ Pulse spikes (red / purple tier) preceding percentile shifts = often mark turning points before the percentile catches up.
◇ Pair with MTF RSI Synchrony: Aligned RSI + Aligned Volume = high-conviction setup. Bear RSI div + Bear Volume div on Master simultaneously = strongest reversal signal.
INPUTS EXPLAINED
GLOBAL SETTINGS
◇ System Language (EN / PT / ES / RU / ZH) — affects HUD and alerts only; code stays in English.
◇ Table / Labels Font Size — Tiny / Small (default) / Normal / Large.
MULTI-TIMEFRAME
◇ AI Auto-Sync TFs — when ON, auto-adjusts the 5 TFs based on chart resolution.
◇ TF1-TF5 — manual TF override (defaults: 5/15/60/240/D).
◇ Default Volume Percentile Length — global default (default 50).
◇ TF1-TF5 Length Overrides — per-TF overrides; defaults 30/50/80/100/150; set to 0 to inherit global.
ENGINE
◇ Dynamic Black Swan Mode — ON by default (Fibonacci 3.85σ adaptive). OFF = static 80/20.
◇ Dynamic Channel Lookback (default 50) and Smoothing (default 10).
◇ Divergence Pivot Lookback — default 5 (community standard).
VISUALIZATION
◇ TF1-TF5 Color + Show toggles — TF1 and TF5 visible by default; TF2/3/4 hidden (opt-in).
◇ Ghost Fade Sensitivity — default 3.5 (lines invisible at ~20 percentile points from Master).
◇ Show Master Line / Show Rainbow Fills / Show Black Swan / Show Dynamic Channel — all default ON.
◇ Show MTF Legend Table — default ON.
◇ Show Divergence Column / Pulse Column — both default ON.
◇ Show Master Divergence Chart Line — default ON.
◇ Legend Table Position — Top/Bottom × Left/Right (default Bottom Right).
◇ Show Divergence Event Markers — default OFF (reduces clutter; toggle ON to display triangles).
◇ Show Static Reference Lines — default OFF (cleaner pane on install; toggle ON for 20 / 50 / 80 guides).
ALERTS
◇ Alert on Black Swan crossings (high / low) — default ON.
◇ Alert on Strong MTF Divergence — default ON.
◇ Alert on Z-Exhaustion zone entries — default OFF (opt-in).
◇ Alert on Master Classic Divergence — default ON.
DELTA TWIN BARS
◇ Show Delta Twin Bars — default ON.
◇ Score Source — Master / TF1 (default) / TF2 / TF3 / TF4 / TF5.
◇ Display Mode — Fixed High / Fixed Low / Dynamic / Dynamic Inverted (default).
◇ Buy / Sell Colors + Transparency + Size Multiplier — fully customizable.
◇ Use Master Line Color (override) — default OFF; toggle ON for rainbow-colored bars.
◇ Bar Width (pixels) — 1-8, default 8 (bold, high-visibility).
◇ Lookback (bars) — default 500 (Pine v6 pool maximum).
◇ Live Bar (intra-bar update) — default ON; toggle OFF for confirmed-only rendering.
IMPORTANT NOTES
🔸 Pine Script v6 — uses request.security with lookahead=barmerge.lookahead_off for anti-repaint integrity. The 5 per-TF volume fetches + 5 per-TF Pulse fetches + 5 per-TF divergence fetches + 6 other security calls = 21 total request.security calls; within TradingView's free-tier limits but noteworthy if combining with other heavy multi-TF indicators on the same chart.
🔸 Repaint behavior — historical bars use confirmed close data; the current real-time bar updates as ticks arrive (especially with Live Delta Bars enabled). The pivot-based divergence detection requires div_lookback confirmed bars before triggering — so divergence labels appear on the pivot bar in retrospect, not as live signals. This is standard pivot divergence behavior across all TradingView divergence indicators.
🔸 Tick rule approximation — Delta Twin Bars use the OHLC tick rule (close > open = buy bias) as a direction encoder. This is NOT real order-flow tick data. Pine Script v6 has no tick data access in indicator scripts. Same approximation is used by virtually every "delta" indicator on the TradingView free tier; this script discloses it transparently. For real bid/ask delta, use paid order flow tools.
🔸 Pine v6 line pool limit — Delta Twin Bars are bounded to 500 lines (Pine v6 hard limit). Older candles fall out of the rolling FIFO and lose their twin bar — this is a Pine engine constraint, not a bug. The current bar's live line uses ONE persistent slot reused across bars (no additional pool consumption).
🔸 Fibonacci ratios are canonical — the channel proportions (1.50 / 1.85 / 2.75 / 3.85) match the Rainbow Matrix brand standard across all sibling indicators. They are derived from the brand's design system and are not user-configurable — preserving cross-indicator visual consistency.
🔸 Master effective TF — the "~XhYm" label in the Master row is the geometric weighted mean of the 5 TF resolutions (same weights as the Master fusion: 0.15/0.20/0.25/0.25/0.15). With defaults 5/15/60/240/D, the effective TF is approximately 71 minutes (~1h11m). This tells you the "average horizon" the Master is reading.
🔸 License: MPL 2.0 (Mozilla Public License 2.0) — open source. Free to fork, modify, and republish under the same license terms.
UNIQUENESS
Three pillars differentiate this from the dozens of volume indicators already on TradingView:
1. Multi-timeframe percentile fusion with synchrony as a visual property. Most volume tools operate on a single timeframe with raw unbounded readings. This indicator bounds every reading to a 0-100 percentile scale, fuses five timeframes via Fibonacci-proportioned weights, and expresses synchrony itself as a "rainbow density" — solid when aligned, spread-out when diverging. The disagreement between fast and slow timeframes becomes immediately readable.
2. Three complementary volume readings in one Legend Table. Value (percentile rank), Pulse (magnitude ratio), and State (named tier) answer three different questions about the same volume reading. Most indicators give you one number; this one disambiguates "rare historical event" from "extreme recent magnitude" from "elevated relative position." The combination catches signals that single-metric views miss.
3. Combined oscillator + chart overlay in a single script. Delta Twin Bars project the per-candle volume score and tick-rule direction directly onto the price chart via force_overlay=true, while the full pane oscillator (Master fusion, ghost lines, Legend Table, divergence engine, dynamic channel) continues to operate independently. Most TradingView indicators force you to choose between oscillator-only or overlay-only paradigms; this script gives you both, with honest disclosure about the OHLC tick rule approximation.
Rainbow Matrix AI | Multi-timeframe institutional analysis tools for traders.
🌐 rainbowmatrix.ai
✉️ Contact: contact@rainbowmatrix.ai Indikator
MTF RSI Synchrony | Rainbow MatrixGENERAL OVERVIEW
The MTF RSI Synchrony is a multi-timeframe RSI fusion oscillator that aggregates five independent RSI readings — one per Fibonacci-spaced timeframe — into a single weighted Master Line. Each per-timeframe RSI is also plotted as a "ghost line" that fades by distance to the Master: when the five timeframes align, the rainbow renders solid; when they diverge, the ghost lines spread visibly across the pane, making synchrony itself a visible density property rather than a number to compute.
The main goal of this indicator is to give traders a single integrated read of RSI across multiple horizons — without flipping between charts, mentally averaging values, or guessing which timeframe's RSI matters at the current decision point. Every line, color, and divergence event on the pane was derived from real RSI calculations on each native timeframe, not approximated from the current chart's resolution.
It computes the Master Line from five timeframes via Fibonacci-proportioned weights (peak weight on the macro middle TFs), classifies the result through an adaptive Fibonacci channel that builds Z-Breathing / Z-Alert / Z-Exhaustion / Black Swan zones around the Master, and runs a classic price↔RSI divergence engine on each of the 5 TFs plus the Master line independently. A 5-column MTF Legend Table surfaces every TF's state at a glance, with an antenna marker (📡) flagging the row whose timeframe matches the chart's native resolution.
This indicator was developed for traders who already understand RSI and divergence concepts and want to see them across multiple timeframes in a single visual, with automatic synchrony detection and an integrated classic divergence layer.
WHAT IS THE THEORY BEHIND THIS INDICATOR?
Most RSI implementations on TradingView operate on a single timeframe. They show you a value between 0 and 100 for the current chart and leave the multi-timeframe assessment to manual work — flipping between charts, sketching trendlines, or stacking multiple instances of the indicator on different intervals. This treats each timeframe as an isolated decision space.
The problem: institutional momentum is not isolated to one timeframe. The participants operating on the daily horizon see different RSI conditions than those operating on the weekly or 4-hour horizon. When the 15-minute RSI flips above 70 but the daily RSI is still neutral, the overbought signal is local — likely a counter-trend bounce. When the 15-minute RSI flips above 70 and the daily RSI also approaches the upper zone, the overbought signal is structurally agreed across horizons — far more likely to mark a multi-horizon exhaustion.
This indicator addresses that by extracting RSI from five user-configured timeframes simultaneously via request.security, fusing them via canonical Fibonacci weights (peak weight on the macro middle TFs), and rendering both the integrated Master signal and each contributing TF's individual reading on the same pane. The math of the per-TF extraction is standard RSI on the native bars — what makes it useful is doing it across five timeframes at once, weighting them by structural significance, and surfacing both the alignment and the per-TF divergences in a single visual.
The classic divergence layer addresses a parallel problem: textbook regular divergence (price↔RSI on the same timeframe) is a well-known reversal cue, but traders typically watch it on one timeframe at a time. By running pivot-based divergence detection independently on each of the 5 TFs and on the Master line, the indicator surfaces local divergences (on fast TFs — often noise) versus structural divergences (on slow TFs — often precede major reversals) in the same table view, with the Master line acting as the integrated read drawn directly on the chart.
MTF RSI SYNCHRONY FEATURES
The indicator includes 7 main features:
◇ Multi-Timeframe RSI Fusion Engine
◇ Adaptive Fibonacci Channel (Master Volatility Envelope)
◇ Hybrid Black Swan Zone (static or dynamic)
◇ Classic Divergence Detection Engine (per-TF + Master)
◇ MTF Legend Table with antenna marker
◇ Per-Timeframe RSI Length Customization
◇ Multilingual interface (5 languages) and full visual customization
MULTI-TIMEFRAME RSI FUSION ENGINE
🔹 What It Does
The core of the indicator. For each of the five configured timeframes, an independent RSI reading is extracted at its native resolution. The five readings are then fused into a single Master Line via canonical Fibonacci-proportioned weights.
🔹 Method
The extraction runs via request.security with lookahead=barmerge.lookahead_off to prevent repainting. Per-timeframe RSI uses Wilder's standard formulation. The Master is computed as a weighted average with the following Fibonacci weights:
◇ TF1 (Trigger, default 5m): 0.15
◇ TF2 (Intraday, default 15m): 0.20
◇ TF3 (Macro 1, default 60m): 0.25 (peak weight)
◇ TF4 (Macro 2, default 240m): 0.25 (peak weight)
◇ TF5 (Base, default Daily): 0.15
The peak weight sits on the macro middle TFs (TF3 + TF4), where institutional decisions consolidate. The Master is clamped to the 0–100 RSI range.
🔹 Ghost Line Rendering
Each per-timeframe RSI is plotted as a ghost line with transparency inversely proportional to its absolute distance from the Master. The fade sensitivity is configurable (default 3.5): at distance 0 the line is solid (transparency 20), at ~20 RSI points away it becomes effectively invisible. Synchrony emerges as a visible density property — when the five lines collapse toward the Master, the rainbow is solid; when they spread, the pane fills with translucent ghosts.
ADAPTIVE FIBONACCI CHANNEL
🔹 What It Does
The Master Line is wrapped in an adaptive volatility channel built from its own highest/lowest over a configurable lookback (default 50), EMA-smoothed (default 10). From the channel envelope, four Fibonacci-proportioned zones are derived above and below the channel midpoint:
◇ Z-Breathing (1.50σ proportion) — yellow (high) / green (low)
◇ Z-Alert (1.85σ anchor) — orange (high) / teal (low)
◇ Z-Exhaustion (2.75σ proportion) — red (high) / blue (low)
◇ Black Swan (3.85σ proportion) — purple (high) / aqua (low)
🔹 Why It Matters
The 30/50/70 lines of classic RSI are static — they don't adapt to the volatility regime of the current instrument or timeframe. The Fibonacci channel does. In a low-volatility regime, the Z-Exhaustion zone tightens and the script flags exhaustion at lower thresholds; in a high-volatility regime, the channel widens and only genuine outliers reach the extreme zones. The Master's position within the channel — color-coded continuously — is a regime-aware read on momentum saturation that the fixed 30/70 lines cannot provide.
HYBRID BLACK SWAN ZONE
🔹 What It Does
The Black Swan threshold operates in hybrid mode:
◇ OFF (default): classic 80/20 RSI extremes — the conventional Wilder oversold/overbought boundaries.
◇ ON: dynamic Fibonacci 3.85σ proportion of the Master channel — adapts to current volatility.
🔹 Method
When dynamic mode is enabled, the Black Swan High becomes osc_up4 = dyn_mid + (dist_up × 3.85/1.85), and the Low becomes dyn_mid − (dist_dn × 3.85/1.85). Both are clamped to . The threshold breathes with the channel — wider in volatile regimes, tighter in calm ones.
🔹 Visual Design
Black Swan zones render as a line + proximity-based glow only — NO fill is drawn underneath, by design. This is a hard rule of the indicator's visual grammar: every other zone (Breathing, Alert, Exhaustion) has a fill; Black Swan is line + glow only, making the extreme zone visually distinct from the gradient zones below it.
CLASSIC DIVERGENCE DETECTION ENGINE
🔹 What It Does
Regular divergence (price↔RSI on the same timeframe) is detected independently on each of the 5 timeframes and on the Master line:
◇ Bear divergence (top): price made higher high + RSI made lower high — momentum failing to confirm the new price peak; exhaustion warning.
◇ Bull divergence (bottom): price made lower low + RSI made higher low — momentum failing to confirm the new price trough; accumulation signal.
🔹 Method
Pivot detection runs via ta.pivothigh and ta.pivotlow with a configurable lookback (default 5 bars before and after). For each timeframe, the previous pivot and current pivot are compared on both price and RSI. A divergence is flagged when price and RSI move in opposite directions across the two pivots, gated by na guards to handle cold-start conditions.
🔹 Two Layers of Output
The detection produces two complementary outputs:
◇ Per-TF divergence flags are rendered in the Legend Table 'Div' column (🔺 bull / 🔻 bear / — none, color-coded). This gives granular per-horizon insight: which exact timeframe is showing divergence right now.
◇ Master divergence — the integrated MTF signal — is additionally drawn on the indicator pane as a line connecting the two pivots, with a "🔺 Bull Div Master" or "🔻 Bear Div Master" label at the second pivot. An alert is available (toggleable, ON by default).
🔹 Why Two Layers
Per-TF divergences answer "where is the divergence forming?" — fast TFs (TF1, TF2) often catch local noise; slow TFs (TF4, TF5) catch structurally significant turns. Master divergence answers "is the integrated MTF view showing exhaustion?" — Master fuses all five TFs into one signal weighted by significance, so its divergence is the consolidated read. The strongest setups occur when both layers agree: Master divergence drawn on the chart + multiple Legend Table 'Div' cells lighting up in the same direction.
MTF LEGEND TABLE
🔹 What It Shows
A compact 5-column table renders inside the indicator pane (force_overlay=false for mobile readability), with 8 rows:
◇ Row 0: title header (multilingual)
◇ Rows 1–5: per-timeframe data — color-coded RSI value, timeframe resolution, trend arrow (▲ rising / ▼ falling / ▬ flat with ±0.5 RSI point deadzone to avoid flicker), and classic divergence cell (🔺/🔻/—)
◇ Row 6: Master row — displays "🌈 Master (~XhYm)" where XhYm is the geometric weighted mean of the 5 active timeframes (e.g. ~1h11m for the default 5/15/60/240/D set), with the Master's RSI value, trend arrow, and divergence state
◇ Row 7: MTF Divergence status row — tracks RSI alignment between TF1 and TF5
🔹 Antenna Marker
An antenna marker (📡) appears at the end of the timeframe label on the row whose timeframe matches the chart's native resolution. Start the read at the antenna row — that's your chart's RSI — then scan up to faster TFs and down to slower TFs to see whether they confirm or contradict the current read.
🔹 MTF Divergence Status Row (TF1 ↔ TF5)
Separate from the classic per-TF divergence: the status row at the bottom tracks RSI alignment between the fastest and slowest configured timeframes:
◇ Aligned (TF1 and TF5 in the same zone): trend continuation, no MTF divergence.
◇ Strong Divergence (TF1 ≥ 70 vs TF5 ≤ 30, or mirrored): fast and slow timeframes telling completely opposite stories. Common at major turning points.
◇ Moderate Divergence (TF1 ≥ 65 vs TF5 ≤ 40, or mirrored): partial misalignment between fast and slow.
PER-TIMEFRAME RSI LENGTH CUSTOMIZATION
🔹 What It Does
RSI period defaults to 14 globally — Wilder's canonical setting. Each of the 5 timeframes has an optional length override: zero means inherit the global default, any positive integer means use that period for that timeframe only.
🔹 Why It Helps
Real-world strategies often want different RSI sensitivities at different horizons. Scalpers use 7-9 on the trigger TF for fast signals while keeping 14 on slower TFs for stability. Swing traders use 14-21 on intraday TFs and 21+ on the daily for smoother reads. Connors-style strategies use 2 on the trigger for mean-reversion. The hybrid pattern keeps the settings panel clean for casual users (one input controls all) while letting power users specialize per TF when needed.
MULTILINGUAL INTERFACE
The indicator supports five languages for the HUD display, Legend Table headers, and alert messages: English (default), Português, Español, Русский, and 中文 (Chinese). Code, comments, and configuration tooltips remain in English regardless of the selected language. Tech abbreviations (RSI, MTF, HTF, TF) stay Latin in all language contexts — they are universally recognized in trading and translation would add noise.
For reference, the multilingual coverage includes:
◇ HUD title and all row labels
◇ Trend arrows (universal: ▲▼▬)
◇ Divergence cells (universal: 🔺🔻—)
◇ MTF Divergence status row (Aligned / Strong / Moderate, with Top/Bottom directional labeling)
◇ All alert messages including the new classic divergence alerts
HOW TO USE
This indicator is not a signal generator. It is a structural map: it tells you where RSI sits across multiple horizons, how aligned (or divergent) those horizons are, and where classic price↔RSI divergence is forming.
🔹 Reading the Rainbow
◇ Solid rainbow + Master near equilibrium (30–70 zone): no clear signal. Trending behavior absent.
◇ Solid rainbow + Master in Z-Alert (orange/teal): trend in motion across all horizons. Look for follow-through confirmation.
◇ Solid rainbow + Master in Z-Exhaustion (red/blue): elevated probability of mean reversion. Multiple horizons agreeing on saturation.
◇ Master touches Black Swan (purple/aqua glow): statistically rare overshoot. High-probability reversal setup, especially when the MTF Divergence row also fires Strong.
◇ Ghost lines visibly spread far from Master: synchrony breakdown. Wait for re-convergence before high-conviction entries.
🔹 Reading the Legend Table
◇ Antenna row (📡): your chart's native TF. Start there.
◇ Scan above the antenna: faster TFs. If they're in extremes opposite to the antenna, the local signal is conflicted.
◇ Scan below the antenna: slower TFs. If they're aligned with the antenna, the structural bias confirms.
◇ Master row: the integrated read. The "~XhYm" label tells you where Master sits in the TF spectrum.
🔹 Reading the Classic Divergence Layer
◇ Single TF lit up (e.g. only TF2 shows 🔻): local divergence. Often noise on fast TFs.
◇ Multiple TFs lit up in the same direction: structurally significant. Confluence of divergence across horizons.
◇ Master divergence drawn on chart + 2 or more TFs in same direction: high-conviction reversal setup. The strongest signal this indicator produces.
◇ Divergence appearing on slow TFs (TF4 / TF5) while fast TFs are quiet: often precedes major reversals — slow-horizon participants are pulling away before fast-horizon ones notice.
🔹 Tactical Reading
◇ Master in Z-Alert + MTF status Aligned: with-trend continuation setup.
◇ Master in Z-Exhaustion + Bear Div drawn on chart + 2 TFs 🔻: short setup with multi-horizon confirmation.
◇ Master at Black Swan Low + Bull Div drawn on chart + Strong MTF Divergence (TF1 ≤ 30 vs TF5 ≥ 70 mirrored): rare confluence of multiple exhaustion signals.
INPUTS EXPLAINED
🔹 System Language
Display language for the HUD and alert messages. Options: English (default), Português, Español, Русский, 中文 (Chinese).
🔹 Multi-Timeframe (TF1 to TF5)
Configure each of the five timeframes to scan. Defaults: 5m / 15m / 60m / 240m / Daily. Plus AI Auto-Sync option that adjusts the 5 TFs based on chart resolution.
🔹 Default RSI Length + 5 Per-TF Overrides
Default 14 applied globally; per-TF override is 0 by default (inherit). Set override > 0 to specialize per TF.
🔹 Dynamic Black Swan Mode
OFF (default): static 80/20 thresholds. ON: dynamic Fibonacci 3.85σ proportion of the Master channel.
🔹 Dynamic Channel Lookback + Smoothing
Lookback for highest/lowest of Master (default 50). EMA smoothing applied to the channel envelope (default 10).
🔹 Divergence Pivot Lookback
Lookback (bars before/after) for the classic divergence pivot detection. Default 5 — matches most community divergence indicators.
🔹 TF Colors + Show/Hide Toggles
Color and visibility for each of the 5 ghost lines. Hiding a TF does NOT remove it from the Master fusion — the calculation continues; visibility is purely visual.
🔹 Ghost Fade Sensitivity
Higher = ghost lines fade more aggressively as they diverge from the Master. Default 3.5 (invisible at ~20 RSI points apart).
🔹 Show Master Line / Fills / Black Swan / Channel / Legend Table / Static Levels / Div Column / Div Chart Line
Independent toggles for each visual layer.
🔹 Legend Table Position + Font Sizes
Position of the table (four corners) and separate font sizes for data rows and label rows.
🔹 Alert Toggles
Master crosses Black Swan High / Low — fires when Master crosses the threshold.
Strong MTF Divergence — fires when TF1 vs TF5 enter opposite extremes.
Master enters Z-Exhaustion — fires when Master enters the red/blue zone (OFF by default to avoid overlap with Black Swan alerts).
Master Classic Divergence — fires when classic bear or bull divergence is detected on the Master line (ON by default).
IMPORTANT NOTES
The MTF RSI Synchrony works on any timeframe. The default radar configuration (5m/15m/60m/240m/D) is calibrated for intraday and swing trading on liquid instruments. For position trading or scalping, the radar timeframes can be reconfigured to scan longer or shorter horizons respectively, or AI Auto-Sync can be enabled to let the engine pick automatically.
The script makes 10 request.security calls in total (5 for the RSI extraction + 5 for the per-TF divergence detection). On low-volatility chart resolutions or weaker hardware, chart load may take a moment longer than for a single-TF RSI; this is expected and normal.
Alerts fire once per confirmed bar (alert.freq_once_per_bar + barstate.isconfirmed gating). Historical bars never repaint after they close. The live bar updates intra-bar as expected for a real-time indicator.
The Fibonacci channel calibration (ratios 1.50 / 1.85 / 2.75 / 3.85) is the canonical Rainbow Matrix ratio set, also used in other portfolio scripts for consistency.
Pine Script v6. Open-source under Mozilla Public License 2.0.
UNIQUENESS
The MTF RSI Synchrony is unique in three ways. First, it performs RSI extraction across five timeframes simultaneously via request.security with Fibonacci-proportioned weights — the integrated Master Line is not a smoothed version of one TF but a true weighted fusion of five independent RSIs, with peak weight on the macro middle TFs where institutional decisions consolidate. Second, the per-timeframe RSIs are rendered as fade-by-distance ghost lines around the Master, transforming synchrony itself into a visible density property — when the timeframes align the rainbow is solid, when they diverge the ghost lines spread visibly across the pane, without requiring the trader to read numbers. Third, the classic divergence detection runs in parallel on each of the 5 timeframes plus the Master line, producing two complementary outputs: a per-TF Legend Table column for granular per-horizon insight and a Master-line chart visual (line connecting pivots + label) for the integrated MTF signal. The combination of weighted multi-timeframe fusion, density-based synchrony visualization, and two-layer divergence detection produces a structural map of RSI behavior that single-timeframe RSI indicators cannot provide — particularly at decision points where multiple horizons converge or where slow-horizon divergences emerge before they reach fast-horizon attention. Indikator
Crypto Ultimate Indicator v2═══════════════════════════════════════════════
CRYPTO ULTIMATE INDICATOR (CUI)
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A multi-layer confluence system for crypto traders. Stacks 12+ independent technical layers — trend, momentum, volume, regime, multi-timeframe bias, and Smart Money Concepts — and fires Buy/Sell signals only when enough of them agree. Every signal comes with a confidence score, three take-profit levels, position size recommendation, and live outcome tracking.
Built for 4H and Daily crypto charts. No proprietary "secret sauce" — every component is documented and every input is exposed.
━━━━━━━ WHY THIS EXISTS ━━━━━━━
Most multi-indicator scripts stack correlated trend filters (more EMAs, more oscillators) and call it "confluence." That just adds the illusion of agreement without adding independent information.
CUI's filter stack is built from genuinely different signal sources, so when they align, that alignment carries real weight:
• Trend regime — HMA + Supertrend + EMA Ribbon
• Momentum — RSI with proper pivot-to-pivot divergence
• Volume flow — body-weighted Volume Delta + CVD divergence
• Volatility state — Bollinger squeeze + squeeze-release timing
• Market structure — composite of ADX, Choppiness Index, BB-width percentile
• Multi-timeframe — weighted Daily / Weekly / Custom HTF (all offset, no repaint)
• Liquidity & gaps — Fair Value Gaps + Liquidity Sweep detection
• External context — optional BTC trend filter for alt trading
A Buy or Sell only fires when the relevant subset of these align. A built-in "Why-Not" diagnostic table shows you exactly which filter is blocking a near-signal at any moment — turning the indicator into a tunable system rather than a black box.
━━━━━━━ CORE FEATURES ━━━━━━━
TREND & MOMENTUM
▸ Hull Moving Average (configurable length)
▸ Supertrend with ATR factor
▸ 5-EMA Ribbon (8/13/21/34/55) with stacking score
▸ RSI with consecutive-pivot divergence detection
▸ MACD and Stochastic RSI (data window)
VOLUME
▸ Body-weighted Volume Delta (not naive close-position)
▸ Cumulative Volume Delta (CVD)
▸ CVD divergence at confirmed pivots
VOLATILITY & REGIME
▸ Bollinger Bands with squeeze detection and release timing
▸ Composite regime classifier (ADX × CHOP × BB-width)
▸ Background tint for trending vs ranging states
▸ Regime transition labels
SMART MONEY CONCEPTS
▸ Fair Value Gap zones (bullish and bearish)
▸ Liquidity Sweep detection
MULTI-TIMEFRAME
▸ Daily / Weekly / User-defined custom HTF
▸ Weighted confluence score (D 1.0x + W 1.5x + Custom 0.75x)
▸ Optional HTF pivot-based S/R lines
BTC CONTEXT (for alt traders)
▸ Optional BTC trend filter
▸ Relative strength vs BTC
SIGNAL ENGINE
▸ 0-100 confidence score
▸ Configurable minimum confidence threshold
▸ Auto-tune presets (Aggressive / Balanced / Conservative / Custom)
▸ Confirmation bar requirement
▸ Minimum spacing between signals
TRADE MANAGEMENT
▸ Three take-profit levels (TP1/TP2/TP3) with configurable ATR multipliers
▸ Custom % allocation per target
▸ Adaptive SL/TP — different distances in trending vs ranging conditions
▸ Break-even stop activation after TP1
▸ Chandelier ATR trailing stop on runner portion
▸ Position size calculator (account size × risk % × confidence multiplier)
LIVE TRACKING & DIAGNOSTICS
▸ Main dashboard with all current state
▸ Signal log table — last N trades with live TP/SL outcomes
▸ Why-Not diagnostic — which filter is currently blocking each direction
▸ Regime stats — win rate broken down by trending vs ranging
ALERTS
▸ 15+ classic alertcondition triggers
▸ Optional JSON webhook payload for bot integration
━━━━━━━ HOW A BUY SIGNAL FIRES ━━━━━━━
All of the following must be true on the signal bar:
1. HMA trending up
2. RSI above 50
3. Volume delta positive
4. EMA Ribbon score ≥ +3 (at least 4 of 5 aligned bullish)
5. Supertrend bullish
6. HTF confluence score ≥ +1.5
7. Confidence score ≥ user minimum
8. BTC trend bullish (if BTC filter enabled)
9. Price not inside opposing FVG zone (if FVG filter enabled)
10. Market not in strong ranging mode
11. Price more than 0.5 ATR from upper resistance zone
12. Candle body > 50% of range
13. Minimum bars elapsed since last signal
14. Confirmation bar (if enabled)
A Sell signal requires the inverse. On 4H BTC expect roughly 1-3 signals per week in normal conditions. If you see fewer, drop the confidence floor or switch to the Aggressive preset.
━━━━━━━ RECOMMENDED USE ━━━━━━━
▸ Primary: 4H on BTC/USDT, ETH/USDT, and majors
▸ Also works: Daily, 12H, 8H
▸ Use caution below 1H — noise increases, news spikes can trigger wicks
▸ Low-liquidity alts: bump ATR period to 21
WORKFLOW
1. Start on the Balanced preset
2. Watch the dashboard and Why-Not panel for a few sessions
3. Adjust the confidence floor based on signal frequency
4. Enable Regime Stats after chart history accumulates
5. For bots: enable JSON webhook alerts, route via "Any alert() function call"
━━━━━━━ REPAINT DISCLOSURE ━━━━━━━
Full transparency on what does and doesn't repaint:
▸ HMA, Supertrend, EMA Ribbon: repaint on the developing current bar (use bar-close confirmation for live trading)
▸ HTF confluence (D/W/Custom): all use offset — fetch last closed HTF bar only — NO intra-period repaint, NO lookahead
▸ RSI and CVD divergence labels: plotted at confirmed pivot bar (5 bars after the actual pivot). Do NOT appear and disappear.
▸ FVG zones: drawn on confirmation bar of the 3-bar gap pattern. Do not repaint once drawn.
▸ Liquidity sweeps: detected on bar close
▸ Trade outcomes (signal log): evaluated on each closing bar
▸ Regime transition labels: confirmed on bar close
━━━━━━━ HONEST LIMITATIONS ━━━━━━━
▸ This is a decision-support tool, not a complete trading system. Risk management, position discipline, and execution matter more than any indicator.
▸ Signal outcomes in the Regime Stats table are based on bar-close evaluation. Real-fill slippage is not modeled.
▸ Volume Delta is approximated from candle structure, not true tick-level bid/ask (TradingView doesn't expose that without premium feeds).
▸ FVG and liquidity sweep are simplified interpretations of those concepts — pure SMC purists may prefer dedicated tools.
▸ The regime classifier is a heuristic composite. It works well on liquid crypto pairs but can lag at sharp inflection points.
▸ Past performance does not predict future results.
━━━━━━━ SETTINGS OVERVIEW ━━━━━━━
The script has many inputs, grouped by function. For first-time users, the most important groups are:
▸ Preset & Theme → pick Balanced to start
▸ UI Sizing → table text and label sizes
▸ Signal Engine → set Minimum Confidence Score
▸ Tiered Exits → TP/SL multipliers and % allocation
▸ Position Sizing → account size and risk per trade
▸ Alerts & Webhooks → enable JSON for bot trading
Default state shows a clean chart: HMA, Supertrend, BB, regime tint, signal labels, plus three tables (dashboard, signal log, HTF panel). Everything else is one toggle away — EMA Ribbon, FVG boxes, ATR zones, HTF S/R lines, CVD divergence labels, sweep markers, Why-Not diagnostic, Regime Stats.
━━━━━━━ WHAT'S NOT INCLUDED ━━━━━━━
▸ Full strategy() backtest — this is an indicator(). A companion strategy script may be released separately.
▸ Funding rate / open interest overlays — require specific tickers not universally available
▸ Chart pattern recognition (H&S, wedges, etc.)
━━━━━━━ CREDITS ━━━━━━━
Built on Pine Script v6. Uses TradingView built-ins: ta.supertrend, ta.dmi, ta.bb, ta.macd, ta.rsi, ta.pivothigh, ta.pivotlow, ta.valuewhen. Choppiness Index, CVD, FVG detection, liquidity sweep logic, regime classifier, confidence scoring, trade tracking, and confluence weighting are custom implementations.
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Indikator
