Triple Supertrend Confluence [MarkitTick]💡 A triple-layer Supertrend confluence system that fuses adaptive volatility bands, multi-timeframe bias, momentum strength, volume conviction, and a cooldown throttle into a single, high-confidence trend signal — then automates the entire trade plan around it with ATR-scaled stop-loss and three staged take-profit levels.
✨ Originality and Utility
Most Supertrend implementations on the platform are single-instance: one ATR period, one multiplier, one line. This script restructures the classic Supertrend into a voting system. Three independently parameterized Supertrend instances (a primary "core" trend and two auxiliary "fast" and "slow" trackers) are calculated in parallel from the same underlying price source, and a signal is only treated as valid when a configurable number of these instances agree on direction. This confluence layer is what separates the tool from a standard Supertrend plot — it is designed to filter out the single biggest weakness of trend-following overlays: getting whipsawed by a solitary indicator flipping on marginal price action.
On top of the consensus layer, the script lets traders stack up to four independent, optional confirmation filters (trend strength via ADX/DMI, higher-timeframe directional bias, relative volume, and a bar-count cooldown) before a signal is considered "confirmed." Each filter can be toggled independently, so the tool scales from a bare-bones single Supertrend up to a fully gated, multi-condition trend-following system. A real-time dashboard keeps every filter's pass/fail state visible at a glance, and an automated trade-planning layer converts each confirmed flip into a structured entry/stop/three-tier-target plan, plotted directly on the chart and exposed through webhook-ready JSON alert payloads.
🔬 Methodology and Concepts
• Core Supertrend Engine
The underlying trend engine follows the standard Supertrend construction: an ATR-derived envelope is built around a price source, with an upper band (source plus a multiple of ATR) and a lower band (source minus a multiple of ATR). These bands are "ratcheted" bar to bar — the lower band can only rise or reset if price closes below the prior lower band, and the upper band can only fall or reset if price closes above the prior upper band. The active trend line switches between the lower band (uptrend) and upper band (downtrend) whenever price closes through the opposite band, producing the familiar stepped Supertrend line. This engine is reused three times with different parameters to build the confluence system described below.
• Adaptive Source Smoothing
Rather than feeding raw HL2 price directly into the Supertrend engine, the script offers eight optional smoothing methods to pre-condition the source: Simple, Exponential, and Wilder's Moving Averages; a Double-Pass Weighted Moving Average; a Triple-Pass Volume-Weighted Moving Average; a Hull Moving Average; a custom slope-adjusted average (LLAMA) that blends a simple mean with a linear slope projection over the lookback window; and a single-state Kalman Filter that recursively updates an estimate and its error covariance bar by bar to produce a noise-adaptive average. Smoothing the source before it reaches the Supertrend calculation reduces false flips caused by single-bar noise spikes, at the cost of some responsiveness.
• Adaptive Volatility Factor
Instead of using a fixed ATR multiplier for the core Supertrend band width, the script can compute a percentile rank of current ATR against its own recent history (a lookback window of your choosing). This rank is then mapped linearly onto a user-defined minimum/maximum multiplier range. In practice, this means the band automatically widens during historically high-volatility regimes (reducing whipsaw) and tightens during historically low-volatility regimes (increasing sensitivity), rather than using one static multiplier across all conditions.
• Triple Consensus Voting
Two additional Supertrend instances — a faster-reacting pair (shorter ATR length, smaller multiplier) and a slower-reacting pair (longer ATR length, larger multiplier) — run alongside the core engine on the same smoothed source. When consensus mode is enabled, a signal is only marked confirmed if at least two of the three instances (including the core) agree on direction. This is a simple majority-vote filter designed to suppress signals that are specific to one particular band setting rather than representative of the broader trend structure.
• ADX / DMI Trend Strength Filter
An optional Average Directional Index filter, calculated using Wilder's Directional Movement methodology, requires ADX to be at or above a user-defined threshold before a flip is confirmed. This is a standard technique for distinguishing genuine directional moves from choppy, non-trending price action, since Supertrend-style systems are known to underperform in low-ADX ranging conditions.
• Higher-Timeframe Bias Filter
An optional filter pulls the trend direction of the same Supertrend engine calculated on a higher, user-selected timeframe, and only confirms a signal if it aligns with that higher-timeframe bias. The higher-timeframe value is read from the prior, fully closed bar on that timeframe to avoid any intra-bar recalculation, ensuring the filter reflects only confirmed historical structure rather than an in-progress bar.
• Volume Confirmation Filter
An optional filter compares current bar volume against its own moving average, requiring volume to exceed the average by a user-defined multiple before a signal is confirmed. This is a simple conviction check: trend changes accompanied by above-average participation are treated as more reliable than those occurring on thin volume.
• Cooldown Guard
An optional bar-count throttle prevents a new confirmed signal in the same direction as a recent prior signal if too few bars have elapsed since that prior signal within the same directional segment, reducing rapid re-signaling during choppy transition periods.
• Confirmation Lag Notice
All confirmation logic (consensus vote, ADX filter, HTF bias, volume filter, cooldown guard) and the resulting BULL/BEAR labels, alerts, and trade-level plotting are evaluated strictly on confirmed, closed bars using barstate.isconfirmed. This means every signal displayed or alerted is final and will not repaint once printed. However, users should be aware that a signal is only confirmed one bar after the actual Supertrend flip occurs, since the confirmation checks (particularly the higher-timeframe bias filter) require a fully closed bar to evaluate safely. This introduces a small, deliberate one-bar lag between the raw trend flip and the confirmed signal in exchange for eliminating repainting.
• Automated Trade Level Engine
On every confirmed flip, the script calculates a full trade plan from the entry price (the confirmed close), an ATR-scaled stop-loss (a user-defined multiple of ATR away from entry), and three take-profit levels defined as user-configurable risk:reward multiples of the initial stop distance. These levels are drawn as extending lines and labels, with shaded risk and reward zones between them, and refresh automatically on each new confirmed signal unless the signal is manually locked.
🎨 Visual Guide
Stepped trend line (color reflects the Up/Down Color inputs): traces the active Supertrend band. It plots along the lower band while price is in an uptrend and the upper band while price is in a downtrend.
Muted/gray trend line: when a filter is active but not yet satisfied, the trend line temporarily switches to the Unconfirmed Color to signal that the raw trend has flipped but confirmation is still pending.
Soft background fill (Up Fill / Down Fill colors): a translucent shaded region behind price reinforcing the current trend direction.
Heatmap candles: when enabled, candle bodies and wicks are recolored using the Heatmap Up/Down colors to match the current trend direction, offering an at-a-glance visual of trend state independent of the line itself.
"BULL" / "BEAR" labels: printed below or above the bar respectively, only on confirmed flips that pass every active filter.
Gray cooldown background: a shaded band that appears across the chart while the Cooldown Guard is actively suppressing new signals.
Trade level lines: a solid red Stop-Loss line, a dashed blue Entry line, and three dashed teal Take-Profit lines (TP1 lightest, TP3 most opaque), each extending to the right of the current bar with a price label attached, shown only when Show Trade Levels is enabled.
Shaded risk/reward zones: a light red fill between Stop-Loss and Entry (the risk zone) and a light teal fill between Entry and TP3 (the reward zone).
On-chart dashboard table: displays symbol/timeframe, Lock status, current Trend direction, Confirmed state, ADX value with a color-coded strength percentage, active Adaptive Filter type, Consensus vote count, HTF Bias direction and pass/fail, Volume filter pass/fail, and remaining Cooldown bars — all updating on the most recent bar.
📖 How to Use
Use the stepped trend line and background fill as the primary trend read: price above the line with an up-colored fill suggests an uptrend context; price below with a down-colored fill suggests a downtrend context.
Treat a "BULL" or "BEAR" label as the actionable signal rather than the raw line flip — labels only appear once every enabled filter has passed, meaning the signal has already been screened for trend strength, higher-timeframe alignment, volume conviction, and cooldown status.
If the trend line is showing the Unconfirmed Color, the underlying trend has technically flipped but is still waiting on one or more active filters — treat this as a "watch" state rather than a trade trigger.
Check the dashboard on each new bar to see exactly which filter(s) are passing or failing before a signal can confirm; this is useful for understanding why an expected signal did not appear.
When Show Trade Levels is enabled, use the plotted Stop-Loss, Entry, and TP1/TP2/TP3 lines as a starting reference for structuring a trade around a confirmed signal — adjust position sizing and targets to your own risk tolerance.
Enable Lock Signal to freeze the current trade-level plot in place (useful for screenshots or reviewing a specific setup) without it being overwritten by a new signal.
The JSON alert payloads are formatted for direct use in webhook-based automation, carrying action, ticker, timeframe, direction, and price fields for long entries, short entries, and their corresponding close-position triggers.
⚙️ Inputs and Settings
ATR Len / Factor: the ATR lookback and multiplier for the core Supertrend engine; higher Factor values produce a looser band and fewer, larger-magnitude signals.
Adaptive Factor (and Min/Max/Rank Len): when enabled, replaces the fixed Factor with a volatility-percentile-driven multiplier that ranges between Factor Min and Factor Max based on where current ATR sits within its own recent history.
Use ADX Filter / ADX Threshold / ADX Length: gates signal confirmation on trend strength; raise the threshold to demand stronger directional conviction before confirming.
Adaptive Filter / Adaptive Filter Len: selects the source-smoothing method applied before the Supertrend calculation, and its lookback length.
Use HTF Confluence / HTF: requires the selected higher timeframe's own Supertrend direction to agree before confirming a signal.
Use Volume Filter / Volume Avg Len / Volume Mult: requires current volume to exceed its moving average by the given multiple before confirming.
Use Cooldown Guard / Cooldown Bars: suppresses new same-direction signals for a set number of bars following a recent prior signal in the same directional segment.
Use Triple Consensus / Fast Factor / Fast ATR Len / Slow Factor / Slow ATR Len: enables the majority-vote filter and configures the auxiliary fast and slow Supertrend instances used to build consensus.
Lock Signal: freezes the currently plotted trade levels, preventing them from updating on a new signal.
Show Trade Levels: toggles the automated Entry/SL/TP1-3 line and label plotting.
SL ATR Mult: the ATR multiple used to place the stop-loss distance from entry.
TP1/TP2/TP3 R:R: the risk:reward multiples used to place each take-profit level relative to the stop distance.
Heatmap Candles / BULL-BEAR Labels / Show Dashboard / Position: visual display toggles and dashboard placement.
Long/Short/Close Long/Close Short Action: customizable string values embedded in the JSON alert payload's "action" field, for mapping to specific webhook automation commands.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Volatility-Based Trend Following (Supertrend / ATR Envelopes)
The core engine descends from the broader family of volatility-adjusted trend-following bands, which use Average True Range (a measure of typical price movement magnitude popularized by J. Welles Wilder) to scale a trailing stop-and-reverse line to prevailing market volatility rather than a fixed price distance. The ratcheting band logic ensures the line never moves against the prevailing trend, which is the defining mechanical property of a trailing-stop-style trend system as opposed to a simple moving average crossover.
• Percentile Ranking for Regime Adaptation
The adaptive factor mechanism applies percentile rank normalization — expressing current ATR as its standing relative to a distribution of its own recent historical values — as a way of contextualizing volatility without relying on a fixed absolute threshold, which allows the same logic to be meaningfully applied across instruments and timeframes with very different baseline volatility levels.
• Ensemble / Majority-Vote Filtering
The Triple Consensus mechanism is a straightforward application of ensemble logic: combining multiple independent estimators (in this case, differently parameterized instances of the same underlying model) and requiring agreement among a majority before acting. This is a well-established technique for variance reduction in signal processing and forecasting contexts, on the premise that independent estimators are less likely to agree by chance during noise-driven, non-trending conditions than during genuine directional moves.
• Wilder's Directional Movement / ADX
The ADX filter is drawn directly from J. Welles Wilder's Directional Movement System, which decomposes price movement into positive and negative directional components and derives a smoothed index (ADX) representing trend strength independent of direction. ADX below common threshold levels is widely associated with range-bound, non-trending conditions in technical analysis literature.
• Recursive State Estimation (Kalman Filtering)
The optional Kalman Filter smoothing method applies a simplified single-state form of the Kalman recursive estimation framework from control theory and signal processing, in which a running estimate is continuously updated by weighting new observations against the estimate's own error covariance, producing a smoothing average that adapts its responsiveness based on recent prediction error rather than using a fixed lookback window.
• Slope-Adjusted Trend Extrapolation (LLAMA)
The LLAMA smoothing option combines a simple arithmetic mean with a linear slope term derived from the change in price over the lookback window, projecting the average forward along the recent trend direction — a lightweight application of linear extrapolation principles used to reduce the inherent lag of simple averaging methods.
• Volume as a Conviction Proxy
The volume filter reflects the broader technical-analysis principle that price movements accompanied by above-average participation carry more informational weight than those on thin volume, a concept with roots in classical volume-price analysis dating back to early technical analysis literature (e.g., Dow Theory's treatment of volume as a confirming factor).
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. אינדיקטור
Squeeze Pro [StrixEDGE]📊 WHAT IT DOES
StrixEDGE Squeeze Pro detects when Bollinger Bands contract inside Keltner Channels — a condition known as the "squeeze" — indicating extremely low volatility that typically precedes explosive moves. It measures squeeze intensity across three levels and uses MACD momentum to predict the breakout direction.
🔬 WHY IT'S DIFFERENT
Standard squeeze indicators show only ON/OFF. This version introduces three intensity levels: the tighter the Bollinger Bands compress inside Keltner Channels, the more powerful the expected breakout. Level 3 (extreme) squeezes historically produce the largest moves. Additionally, a real-time statistics table shows squeeze frequency, average duration, directional bias, and average post-squeeze move size for the current chart.
⚙️ HOW IT WORKS
The indicator calculates Bollinger Band width relative to Keltner Channel width. When BB fits inside KC, a squeeze is active. The ratio between their widths determines intensity:
• Level 1 (yellow dots): Light compression, ratio 0.8-1.0
• Level 2 (orange dots): Medium compression, ratio 0.5-0.8
• Level 3 (red dots): Extreme compression, ratio below 0.5
A four-color MACD momentum histogram shows breakout direction:
• Dark green = bullish accelerating, Light green = bullish fading
• Light red = bearish fading, Dark red = bearish accelerating
📈 HOW TO USE
• Wait for red/orange squeeze dots (Level 2-3) to accumulate
• When dots turn green (squeeze fires), enter in the histogram's direction
• Dark green histogram bars after squeeze = LONG entry
• Dark red histogram bars after squeeze = SHORT entry
• Level 3 squeezes produce the most reliable and powerful breakouts
• Use the stats table to understand squeeze behavior on your specific chart/timeframe
🎛️ INPUTS & DEFAULTS
BB: 20 period, 2.0 multiplier | KC: 20 period, 1.5 multiplier
MACD: 12/26/9 | Stats Lookback: 200 bars
All fully customizable.
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🔧 CUSTOMIZATION
All parameters are fully adjustable through the indicator settings panel. Inputs are grouped logically:
• ⚙️ Core Parameters — main calculation settings
• 📊 Table Settings — table size (Tiny to Huge), position (4 corners), visibility toggle
• 🎨 Visual Settings — colors, show/hide elements
• 🔔 Alert Settings — threshold values for notifications
📊 DATA TABLE
A built-in data table displays all key metrics in real-time. Adjust the table size from Tiny to Huge to match your chart layout. Position it in any corner. Toggle visibility on/off.
🔔 ALERTS
Pre-built alert conditions for all major signals. Set up alerts via TradingView's alert dialog — select this indicator and choose from the available conditions.
⏱️ RECOMMENDED TIMEFRAMES
Works on all timeframes. Recommended: 1H, 4H, Daily for best signal quality. Lower timeframes produce more signals but with higher noise. Weekly/Monthly for position trading context.
✅ COMPLIANCE
• No repainting — all signals based on confirmed bar close data
• No future data references
• Open-source code — verify the logic yourself
⚠️ DISCLAIMER
This indicator is a technical analysis tool, not financial advice. It does not predict future price movements. Past patterns and signals do not guarantee future results. Trading involves substantial risk of loss. Always use proper risk management, including stop losses and appropriate position sizing. Never risk more than you can afford to lose. אינדיקטור
Percentile Momentum Rotation [Pineify]Percentile Momentum Rotation
Overview
Percentile Momentum Rotation is a Pine Script v6 oscillator that converts fast, medium, and slow rate of change into a comparable spectrum. It shows a centered score, horizon coherence, a fast-slow wave, and a dashboard for momentum context rather than prediction.
Problem Definition
Raw ROC is a percentage return over one window. An 8-bar ROC has a different range from a 55-bar ROC, and the same value can be ordinary in a volatile regime but unusual in a quiet one. Averaging raw readings lets the largest horizon dominate, while fixed thresholds change meaning with the distribution. The design must retain each horizon's information but remove its local scale before combination.
Design Rationale
Each ROC is ranked against its own history and centered from -100 to +100, avoiding an assumption of normal returns. A z-score was rejected because outliers can distort its mean and deviation; a raw blend was rejected because it keeps the scale mismatch. The centroid is discounted when horizon polarities disagree or ranks spread apart. This favors coherent states but reacts less to an early one-window turn. The visual hierarchy follows these variables: primary score first, explanatory layers second.
Key Features
Three independently normalized ROC percentile streams.
A coherence-weighted composite and fast-slow rotation wave.
A state-colored spectrum, horizon fan, confirmed alerts, and dashboard.
Balanced, fast-focus, and slow-focus weighting.
How It Works
The script calculates percentage ROC over fast, medium, and slow lengths. ta.percentrank compares each current ROC with its configured history. Percentile 50 maps to zero, 100 to +100, and 0 to -100. Positive therefore means high versus that horizon's recent distribution; it does not guarantee a positive raw return.
The centered ranks form a weighted centroid; the three profiles shift emphasis across horizons. Polarity checks whether ranks share a side outside the dead zone, while compactness measures dispersion. Their 0-to-1 coherence controls a 0.55-to-1.00 consistency factor applied to the score.
The wave is half the fast-minus-slow rank difference. Color encodes score direction, halo intensity encodes coherence, and fan width shows dispersion. Output remains empty through warm-up. Visuals update intrabar; diamonds and alerts require bar close.
How Multiple Indicators Work Together
This is one pipeline, not a mashup. ROC supplies horizon change; percentile rank removes local scale; the centroid summarizes location; polarity and dispersion test coherence; and the consistency factor forms the score. The wave exposes lead-lag behavior that the centroid hides, while the fan visualizes disagreement. Removing a stage either removes momentum, restores the comparability problem, or hides confidence.
Trading Ideas and Insights
Upper and lower states organize review of relative momentum expansion. Synchronization means all horizons are unusual versus their own histories, not that a trade must follow. The wave reveals whether fast momentum leads or lags the slow horizon; repeated zero crossings describe unstable context. Confirm with independent structure and risk controls.
Unique Aspects
ROC and percentile rank are standard; the contribution is their information architecture. Each horizon is normalized against itself, then the composite is discounted by both side agreement and compactness. It separates historical location, synchronization, and lead-lag rotation; the same variables control halo, fan, and wave. No retrieved code is reproduced.
How to Use
Allow the slow ROC plus percentile history to warm up.
Start with Balanced and read score, coherence, and wave together.
Treat synchronization as context, then assess price structure and risk separately.
Use confirmed alerts; current-bar plots may move before close.
Disable secondary layers for a cleaner chart.
Customization
Short ROC windows react faster but rotate more often; long windows add persistence and lag. Longer percentile history provides broader context but adapts more slowly after regime shifts. The dead zone sets how much near-median movement is directionless. Rotation thresholds define context and extremes; Synchronization Threshold sets required agreement. Weight profiles change the analytical question, so comparisons should keep settings consistent.
Assumptions and Limitations
The source and available history must be representative enough for ranking. Percentiles are relative: a high rank can occur while raw returns are negative if the decline is milder than recent declines. Results depend on lengths, lookback, and structural breaks. It is lagging and omits volume, execution, fundamentals, and structure. Visuals can change before close; alerts wait for confirmation. No future values or external data are used, but this does not establish performance.
Conclusion
Percentile Momentum Rotation turns incompatible ROC scales into an auditable spectrum. It keeps relative location, coherence, and lead-lag rotation distinct but connected, helping diagnose momentum context without treating thresholds as guaranteed entries.
אינדיקטור
אינדיקטור
Minor H1 BIAS Analyse## 1. Purpose of the Script
The **Minor H1 BIAS Analyse** is designed to determine the short-term directional market BIAS.
It does not provide entries. Instead, it evaluates several trend, momentum, and structure conditions and classifies the market as:
Long
Short
Neutral
The script should therefore be used as a directional filter together with a separate entry strategy.
---
## 2. Structure of the Minor BIAS
The Minor BIAS is based on five components:
EMA Trend
Price vs EMA
Current Candle Direction
Previous H1 High / Low Break
Market Structure Break
Each bullish condition adds one point to the Bull Score.
Each bearish condition adds one point to the Bear Score.
The maximum possible score is:
5 Long
5 Short
---
## 3. EMA Trend
The script uses two exponential moving averages:
Fast EMA: 20
Slow EMA: 50
If the Fast EMA is above the Slow EMA:
+1 Long
If the Fast EMA is below the Slow EMA:
+1 Short
This represents the basic trend direction.
---
## 4. ATR Neutral Buffer
The script uses an optional ATR buffer around the EMAs.
Default settings:
ATR Length: 14
ATR Multiplier: 0.20
The buffer creates a neutral zone around the EMAs.
Price must move clearly above or below both EMAs before the condition becomes bullish or bearish.
This helps filter small movements and market noise.
---
## 5. Price vs EMA
For a bullish condition, price must close above both EMAs plus the ATR Buffer.
Result:
+1 Long
For a bearish condition, price must close below both EMAs minus the ATR Buffer.
Result:
+1 Short
If price remains inside the buffer area:
No Score
The dashboard displays:
Inside Buffer
---
## 6. Current Candle Direction
The script also evaluates the current candle.
Bullish Candle:
Close above Open
+1 Long
Bearish Candle:
Close below Open
+1 Short
Doji:
No Score
This adds a simple momentum component to the BIAS.
---
## 7. Previous H1 High / Low Break
The script checks whether price closes above or below the previous candle.
Close above Previous High:
+1 Long
Close below Previous Low:
+1 Short
No Break:
No Score
This filter can be enabled or disabled in the settings.
The script uses the candle close, not only the wick.
---
## 8. Market Structure
The script also analyzes the previous market structure.
Default Lookback:
5 candles
It calculates:
Structure High
Structure Low
If price closes above the Structure High:
Bullish Structure Break
+1 Long
If price closes below the Structure Low:
Bearish Structure Break
+1 Short
If neither level is broken:
Range
No Score
---
## 9. Score System
The final Minor BIAS is calculated from the Bull Score and Bear Score.
Possible Long points:
EMA Trend
Price vs EMA
Bullish Candle
Previous High Break
Bullish Structure Break
Possible Short points:
EMA Trend
Price vs EMA
Bearish Candle
Previous Low Break
Bearish Structure Break
A minimum of three points is required.
---
## 10. Minor LONG
The Minor BIAS becomes Long when:
Bull Score is at least 3
and
Bull Score is greater than Bear Score.
Example:
Bull Score: 4
Bear Score: 1
Result:
MINOR LONG
---
## 11. Minor SHORT
The Minor BIAS becomes Short when:
Bear Score is at least 3
and
Bear Score is greater than Bull Score.
Example:
Bull Score: 1
Bear Score: 4
Result:
MINOR SHORT
---
## 12. Neutral
If neither side reaches the required conditions, the BIAS remains Neutral.
Example:
Bull Score: 2
Bear Score: 2
Result:
NEUTRAL
Neutral therefore represents an unclear or mixed market situation.
---
## 13. Dashboard
The dashboard shows the current state of every component.
It contains:
BIAS
EMA Trend
Price vs EMA
H1 Candle
Previous H1 Break
Structure
ATR Buffer
It also displays the current:
Bull Score / Bear Score
Example:
4 / 1
This makes it possible to understand why the current BIAS is Long, Short, or Neutral.
---
## 14. Chart Visualization
The script can display:
Fast EMA
Slow EMA
Previous H1 High / Low
Structure High / Low
BIAS Background
BIAS Label
Dashboard
Each visualization can be enabled or disabled individually.
The calculations continue to work even when the corresponding chart elements are hidden.
---
## 15. Alerts
The script includes alerts for:
Minor H1 LONG
Minor H1 SHORT
Minor H1 NEUTRAL
These can be used to receive a TradingView notification when the directional BIAS changes.
---
## 16. Meaning for Trading
The Minor BIAS should not be treated as an entry signal.
A simple trading rule would be:
**MINOR LONG:** Prefer Long setups.
**MINOR SHORT:** Prefer Short setups.
**NEUTRAL:** Wait for clearer conditions.
The actual entry should come from a separate trading setup.
---
## 17. BIAS Strength
The score can also be used to estimate the strength of the current direction.
3 Points:
Valid directional confirmation
4 Points:
Strong confirmation
5 Points:
Very strong alignment
For example:
5 / 0 Long
represents stronger bullish confirmation than:
3 / 2 Long
even though both are classified as MINOR LONG.
---
## 18. Important Timeframe Note
The current script uses the timeframe of the active chart.
That means the calculations are only truly based on H1 when the indicator is used on a **1-hour chart**.
If the script is placed on M5 or M1, the calculations also use M5 or M1 data.
For a true H1 BIAS that remains identical on every chart, the calculations would need to use fixed 60-minute data.
---
## 19. Conclusion
The **Minor H1 BIAS Analyse** is a score-based directional filter.
It combines:
Trend
Price Position
Momentum
Previous Candle Break
Market Structure
At least three confirmations are required for a directional BIAS.
The final result is:
MINOR LONG
MINOR SHORT
NEUTRAL
Its purpose is to identify the stronger short-term market direction before a separate entry setup is considered.
++ This was only used on NQ ++
אינדיקטור
Nonparametric Relative Momentum [BackQuant]Nonparametric Relative Momentum
Overview
Nonparametric Relative Momentum is a percentile-rank oscillator that measures where the current price or momentum observation sits relative to its own recent empirical history.
Unlike conventional momentum oscillators that transform price using fixed arithmetic relationships, this indicator uses rank statistics . The current observation is compared directly against the previous values in a rolling window and converted into a percentile score from 0 to 100.
The result answers a simple question:
How extreme is the current observation relative to what this market has actually done recently?
Two calculation modes are available:
Price ranks the selected price source directly.
Momentum first measures price change across a configurable horizon, then ranks that momentum against its own recent history.
The oscillator also includes:
Mid-rank handling for tied observations.
Optional output smoothing.
An EMA signal line.
Configurable overbought and oversold zones.
Stepped intensity colouring as the rank becomes more extreme.
Main-chart candle colouring from the 50 midline regime.
Alerts for midline, extreme-zone and signal-line crossings.
Why “nonparametric”?
In statistics, a parametric method generally assumes that data can be described by a particular distribution or by parameters associated with that distribution.
A nonparametric method does not require the same distributional assumption.
Percentile ranks are a classic example.
The oscillator does not need to assume that recent price changes are:
Normally distributed.
Symmetric.
Constant in volatility.
Characterised by a stable mean and standard deviation.
Instead, it works directly from the ordering of the observed data.
If the current momentum observation is greater than almost every momentum observation in the recent window, it receives a high rank.
If it is lower than almost everything observed recently, it receives a low rank.
This makes the oscillator fundamentally relative to the market’s own recent empirical distribution.
Core calculation
The calculation occurs in three stages:
Select the series to rank.
Calculate its empirical percentile rank.
Optionally smooth that rank and calculate a signal average.
The selected ranking target depends on the Rank Target input.
Price Mode
In Price mode:
Target = Selected Price Source
The current source value is compared with the previous values in the Rank Window.
This answers:
Where is current price positioned within its recent price distribution?
A value near 100 means current price is above almost every observation in the comparison window.
A value near 0 means it is below almost every observation.
A value near 50 means it sits near the middle of its recent distribution.
Because Price mode ranks the price level itself, it behaves somewhat like a stochastic or price-position oscillator, although the calculation is based on empirical ranking rather than highest-lowest range normalisation.
Momentum Mode
Momentum mode first calculates:
Momentum = Source - Source
This measures the absolute price change across the selected Momentum Length.
The resulting momentum series is then percentile-ranked over the Rank Window.
The oscillator therefore answers:
How strong is the current momentum observation compared with recent momentum observations?
This is different from asking whether price itself is historically high or low.
For example, price can be near a recent high while momentum has weakened considerably. In that situation:
Price mode may remain highly ranked.
Momentum mode may fall toward the centre or lower half of the distribution.
Conversely, price does not need to be at a long-term extreme for momentum to rank very highly if the current change is unusually strong relative to recent movements.
Why Momentum mode is different from traditional RSI
The standard Relative Strength Index developed by J. Welles Wilder compares smoothed positive and negative price changes.
Its calculation depends on the relative magnitude of average gains and average losses.
Nonparametric Relative Momentum does not use that formula.
Instead:
A momentum observation is calculated.
That observation is ranked against its own historical sample.
For this reason, Momentum mode can be thought of as a rank-based relative momentum oscillator .
Both traditional RSI and this oscillator are bounded between 0 and 100, but the meaning of those values is different.
For example:
RSI = 90
means the balance of smoothed gains versus losses has produced an RSI reading of 90.
Nonparametric Relative Momentum = 90
means the current momentum observation ranks around the upper end of its recent empirical momentum distribution.
That distinction is important.
Percentile rank calculation
For each bar, the indicator compares the current target with every observation in the preceding Rank Window.
It counts:
How many previous values are below the current value.
How many previous values are exactly equal to it.
The percentile rank is then:
Rank = 100 × (Values Below + 0.5 × Equal Values) / Window Length
This produces an oscillator between 0 and 100.
Why use rank instead of magnitude?
Consider two markets.
Market A may normally move only 0.5% over the selected momentum horizon.
Market B may routinely move 5%.
A raw momentum threshold cannot be interpreted the same way for both.
Ranking changes the question.
Instead of asking:
How many points or percent did this market move?
the oscillator asks:
How unusual is this move relative to this market’s own recent behaviour?
This allows the same 0–100 framework to adapt naturally to different price scales and volatility regimes.
Mid-rank treatment of ties
A simple percentile implementation might count only observations strictly below the current value.
That can distort the result when repeated values occur.
This indicator uses mid-rank treatment .
If historical observations equal the current value, each tie contributes one half rather than being classified entirely above or below.
For example, suppose:
40% of observations are below the current value.
20% are exactly equal.
40% are above.
The mid-rank result is:
40 + 0.5 × 20 = 50
This places the tied observation at the centre of its equal-value group.
Mid-ranks are commonly used in rank-based statistics because they provide a more balanced treatment of ties.
Rank Window
The Rank Window determines how much historical data defines the current empirical distribution.
A shorter Rank Window:
Adapts quickly.
Responds strongly to recent regime changes.
Produces more rapid movement between percentiles.
Can create noisier extreme readings.
A longer Rank Window:
Builds the ranking from a larger sample.
Produces a more stable percentile estimate.
Makes extremes harder to reach.
Responds more slowly when market behaviour changes.
The window therefore controls the memory of the oscillator.
It does not smooth the underlying target directly. It changes the reference distribution against which the target is ranked.
Momentum Length
Momentum Length is used only when Rank Target is set to Momentum.
It controls the horizon over which price change is measured:
Momentum = Current Source - Source from Momentum Length bars ago
Shorter values:
Measure faster momentum.
React to shorter impulses.
Change direction more frequently.
Longer values:
Measure broader displacement.
Focus on more persistent movement.
Ignore more short-term fluctuation.
The Momentum Length and Rank Window perform separate roles.
Momentum Length determines what movement is measured.
Rank Window determines the historical sample against which that movement is judged.
Output Smoothing
The raw percentile rank can optionally be passed through an EMA.
A value of 1 leaves the rank effectively unsmoothed.
Higher values:
Reduce rapid rank fluctuations.
Create a smoother oscillator.
Reduce short-lived extreme readings.
Introduce additional lag.
The smoothing occurs after the percentile calculation.
It does not change how observations are ranked.
The 50 midline
The oscillator is centred around 50.
A value above 50 means the current observation ranks above the midpoint of its recent distribution.
A value below 50 means it ranks below the midpoint.
The interpretation depends on the selected mode.
Price mode above 50
Current price is positioned in the upper half of its recent price distribution.
Price mode below 50
Current price is positioned in the lower half.
Momentum mode above 50
Current momentum is stronger than roughly the middle of its recent momentum observations.
Momentum mode below 50
Current momentum is weaker relative to its recent distribution.
The indicator also uses this midline to colour main-chart candles:
Above or equal to 50 = bullish colour.
Below 50 = bearish colour.
This provides a simple relative-regime view on the price chart.
Percentile extremes
Because the oscillator represents rank rather than an unbounded magnitude, readings near 0 and 100 carry a straightforward interpretation.
Near 100
The current observation is greater than almost every value in the recent comparison window.
Near 0
The current observation is lower than almost every value.
These are empirical extremes.
They do not mean price or momentum cannot become more extreme.
A value near 100 can persist while a strong trend continues because new observations may repeatedly remain near the top of the evolving distribution.
Likewise, readings near 0 can persist during sustained downside momentum.
Overbought and Oversold zones
The default static zones are:
Overbought: 90–100
Oversold: 0–10
These are configurable.
The labels “overbought” and “oversold” describe statistical location, not guaranteed reversal conditions.
An overbought reading means:
The ranked observation is near the top of its recent empirical distribution.
An oversold reading means:
It is near the bottom.
During a range, these areas may help identify local extremes.
During a persistent trend, the oscillator can remain in an extreme zone for extended periods.
The zones should therefore be interpreted together with:
Trend context.
Price structure.
Oscillator direction.
Signal-line behaviour.
Why 90/10 instead of 70/30?
Traditional RSI commonly uses 70 and 30.
That convention does not need to apply to a percentile-rank oscillator.
A rank above 90 means the current observation is in approximately the upper tail of the recent empirical sample, while a reading below 10 represents the lower tail.
Using more extreme default zones makes them intentionally selective.
Users who want broader zones can move the boundaries toward values such as 80 and 20.
Signal line
The white Moving Average line is an EMA of the final oscillator:
Signal = EMA(Percentile Rank Oscillator, Signal Length)
This provides a slower reference against which short-term rank movement can be compared.
Oscillator above signal
The percentile rank is strengthening relative to its own recent smoothed level.
Oscillator below signal
The rank is weakening.
Crossovers can be used to identify changes in short-term momentum within the broader percentile regime.
For example:
A bullish crossover below the oversold zone can indicate rank beginning to recover from an extreme.
A bearish crossover above the overbought zone can indicate deterioration from an upper-tail reading.
A crossover near 50 may represent a more neutral momentum transition.
Signal crosses should not be interpreted independently from oscillator location.
Stepped oscillator colouring
The oscillator uses stepped colour intensity based on its position relative to the 50 midline.
Above 50, colours progressively strengthen as the percentile reaches higher levels.
Below 50, bearish intensity progressively strengthens as the percentile falls.
The main regions are approximately:
50–62.5: modest positive rank.
62.5–75: strengthening positive rank.
75–90: strong positive rank.
90–99: upper-tail extreme.
99–100: exceptional upper-tail rank.
The lower half mirrors this concept:
37.5–50: modest negative rank.
25–37.5: weakening relative state.
10–25: strong negative rank.
1–10: lower-tail extreme.
0–1: exceptional lower-tail rank.
These colours do not introduce additional calculations or signals.
They visually communicate how far the oscillator has moved into its empirical distribution.
Column presentation
The percentile oscillator is plotted as columns around a histogram base of 50.
This means:
Values above 50 extend upward.
Values below 50 extend downward from the midline.
Although the numerical scale remains 0–100, this presentation visually emphasises deviation from the centre of the distribution.
The 50 level therefore functions as the oscillator’s equilibrium reference.
Price mode versus Momentum mode
The two modes answer different questions and should not be treated interchangeably.
Price Mode
Asks:
Where is price relative to its recent distribution?
This makes it useful for:
Range position.
Breakout context.
Relative price extremes.
Stochastic-like analysis.
Momentum Mode
Asks:
Where is current price change relative to the recent distribution of price changes?
This makes it useful for:
Momentum expansion.
Momentum exhaustion.
Relative impulse analysis.
Trend-strength transitions.
Momentum mode can identify weakening momentum before price itself leaves the upper part of its distribution.
Price mode can remain elevated simply because the market is still trading near recent highs.
Example: strong uptrend
Suppose price has been rising steadily.
Price Mode may remain above 90 because current price continually sits near the upper edge of its recent range.
Momentum Mode may behave differently:
It can rise toward 100 during acceleration.
Fall back toward 50 when the trend continues at a more ordinary pace.
Drop below 50 if momentum deteriorates significantly even while price remains relatively high.
This distinction can help separate price location from momentum condition .
Example: volatility regime change
Suppose a market normally changes by only small amounts, then suddenly produces a large directional move.
Raw momentum alone shows a large number.
The percentile rank provides additional context by showing whether that movement is unusual relative to the recent distribution.
If the current momentum is greater than nearly every recent observation, the oscillator moves toward 100.
If the market has already experienced many similarly large moves, the same absolute momentum may receive a much less extreme rank.
The indicator therefore adapts automatically to changing empirical behaviour without requiring fixed momentum thresholds.
Midline crossings
A crossover above 50 indicates the ranked series has moved into the upper half of its recent distribution.
A cross below 50 indicates movement into the lower half.
In Momentum mode, these crossings can be used as a simple relative momentum regime:
Above 50 = comparatively stronger momentum state.
Below 50 = comparatively weaker momentum state.
In Price mode, they indicate whether price is above or below the central portion of its recent rank distribution.
These crossings also control the optional main-chart candle colours.
Extreme-zone crossings
The indicator provides alerts when:
The oscillator crosses upward into the overbought zone.
The oscillator crosses downward into the oversold zone.
These alerts identify entry into an extreme percentile area.
They do not indicate that the extreme has ended.
For reversal-oriented analysis, a trader may instead monitor:
A subsequent exit from the zone.
A signal-line crossover.
Divergence with price.
A break in market structure.
Divergence interpretation
Because Momentum mode ranks momentum rather than price, it can also be useful for examining momentum divergence.
For example:
Price may make a higher high while the oscillator produces a lower percentile peak.
This indicates that the latest momentum observation is less exceptional relative to its recent history than it was during the previous price high.
The reverse can occur at lows.
As with conventional divergence, this is evidence of changing momentum characteristics, not confirmation that price must reverse.
How to use the indicator
1. Relative momentum regime
In Momentum mode, use the 50 midline as a simple regime reference:
Above 50 = positive relative momentum state.
Below 50 = negative relative momentum state.
2. Momentum extremes
Use the configurable zones to identify unusually high or low momentum ranks.
Rather than automatically fading these conditions, determine whether the market is:
Trending.
Exhausting.
Breaking out.
Returning toward equilibrium.
3. Signal-line transitions
Oscillator and signal-line crosses can help identify shorter-term changes in rank direction.
The location of the crossover matters.
A bullish crossover at 5 carries different context from one at 95.
4. Price-distribution analysis
Switch to Price mode when the objective is to measure where the current market sits within its recent price distribution.
This can be useful for:
Breakout analysis.
Range positioning.
Relative high/low detection.
5. Trend confirmation
Momentum remaining consistently above 50 can support an existing bullish trend.
Momentum remaining below 50 can support a bearish trend.
Repeated oscillation around 50 indicates that relative momentum is changing sides frequently.
6. Candle regime colouring
The optional overlay candles make the oscillator’s midline state visible directly on the main price chart.
This can be useful when the oscillator pane is being used primarily for extremes and signal-line analysis.
Input guide
Rank Target
Selects what is percentile-ranked.
Price ranks the source itself.
Momentum ranks its change over the selected Momentum Length.
Rank Window
Controls the empirical comparison sample.
Longer values are smoother and statistically broader. Shorter values adapt more quickly.
Momentum Length
Controls the displacement horizon in Momentum mode.
It has no effect in Price mode.
Output Smoothing
Applies optional EMA smoothing to the percentile rank.
1 produces the raw rank.
Signal Length
Controls the EMA signal line.
Shorter values follow the oscillator more closely. Longer values produce slower crossover signals.
Overbought Zone
Sets the lower boundary of the upper extreme area.
Oversold Zone
Sets the upper boundary of the lower extreme area.
How this differs from RSI
Traditional RSI:
Separates gains and losses.
Smooths their magnitude.
Calculates a relative-strength ratio.
Transforms that ratio onto a 0–100 scale.
Nonparametric Relative Momentum:
Calculates price or momentum directly.
Ranks the current observation against historical observations.
Uses no gain/loss ratio.
Uses no assumed distribution.
The identical 0–100 scale therefore represents a different statistical concept.
How this differs from Stochastic
A conventional stochastic oscillator measures where current price lies between the highest high and lowest low of a window.
Its basic concept is:
(Current - Lowest) / (Highest - Lowest)
Nonparametric Price mode instead asks how many historical observations are below the current price.
This distinction matters because the rank considers the entire empirical ordering of the sample, not only its two extreme endpoints.
Two windows can have identical highs, lows and current price but different internal distributions.
A stochastic calculation can return the same value in both cases, while percentile rank can differ because the number of observations above and below the current price is different.
How this differs from a Z-score
A Z-score measures deviation from a mean in standard-deviation units:
Z = (Current Value - Mean) / Standard Deviation
That calculation depends directly on the sample mean and dispersion.
Percentile rank depends only on ordering.
As a result, an extreme outlier can heavily alter a mean and standard deviation but has much less influence on the ordering of the remaining observations.
This is one of the reasons rank statistics can be useful when financial data contains skew, fat tails or isolated extreme moves.
Strengths
Uses a nonparametric empirical ranking process.
Requires no assumption of normality.
Produces an intuitive bounded 0–100 scale.
Adapts naturally to the recent behaviour of each market.
Supports both price-location and momentum-ranking modes.
Uses mid-ranks for tied observations.
Normalises momentum extremes without relying on fixed point or percentage thresholds.
Includes configurable smoothing and signal analysis.
Provides direct midline regime colouring on the main chart.
Limitations
A percentile rank measures relative position, not absolute magnitude.
A reading of 100 does not indicate how much larger the current observation is than the rest of the sample.
Persistent trends can remain at extreme ranks for extended periods.
Short Rank Windows can generate rapid percentile changes.
Long Rank Windows adapt more slowly to regime shifts.
Momentum mode uses absolute source change rather than percentage return, although ranking substantially reduces scale dependence within a single instrument.
Extreme readings are not automatic reversal signals.
Signal-line crosses can whipsaw in noisy conditions.
The oscillator is reactive and does not forecast future price.
Alerts
The indicator provides alerts for:
Cross Up 50: oscillator enters the upper half of its distribution.
Cross Down 50: oscillator enters the lower half.
Overbought: oscillator crosses upward through the selected upper-zone boundary.
Oversold: oscillator crosses downward through the selected lower-zone boundary.
Bull: oscillator crosses above its signal EMA.
Bear: oscillator crosses below its signal EMA.
Summary
Nonparametric Relative Momentum converts either price or momentum into an empirical percentile rank.
Instead of asking how far an observation is from a moving average, how many standard deviations it sits from a mean, or what ratio of gains to losses produced it, the indicator asks where that observation ranks relative to its own recent history.
In Price mode, it measures the relative location of price within its historical distribution.
In Momentum mode, it first calculates price displacement across a chosen horizon and then measures how exceptional that momentum is relative to recent momentum observations.
A mid-rank procedure handles tied values, optional EMA smoothing controls visual responsiveness, and a separate signal average provides crossover analysis. The 50 midline separates the upper and lower halves of the empirical distribution, while configurable overbought and oversold zones highlight the tails.
The result is a distribution-free relative momentum framework that adapts to the observed behaviour of the market rather than relying on fixed magnitude thresholds or an assumed statistical distribution.
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Buy Sell Badge with DMI & ADX by ByblloBuy Sell Badge with DMI & ADX generates Buy/Sell badges from a Fast/Slow EMA crossover, then automatically manages an ATR-based stop loss and risk:reward take profit for every signal.
On top of the base EMA signal, you can layer in two independent trend-strength filters:
- DMI filter: confirms the signal with a DI+/DI- crossover near the same bars (with an optional "ADX Rising" requirement)
- ADX filter: confirms the signal with an upper or lower ADX threshold zone (each zone with its own optional "ADX Rising" requirement)
Enable either filter alone, both together for the strictest "DUAL BUY/SELL" confirmation, or neither for the raw EMA signal.
INTENDED USE
Built for short-term futures scalping - Nasdaq futures, KOSPI200 futures, and similar instruments. Primarily designed and tested on the 1-minute chart, but the EMA/ATR/DMI/ADX logic is timeframe-agnostic and works well on 2, 3, and 5-minute charts and other intraday timeframes too. When switching timeframe or instrument, re-check the SL Multiplier, Risk:Reward, and Alert Sensitivity (Points) inputs, since typical point moves and ATR scale with the timeframe.
FEATURES
- Fast/Slow EMA crossover base signal with optional candle confirmation
- ATR-based stop loss and R:R-based take profit with intermediate TP levels
- Independent DMI and ADX confirmation filters, each with its own length and thresholds
- "ADX Rising" toggles on each filter zone (DMI, ADX upper, ADX lower) for extra momentum confirmation
- Automatic entry invalidation on opposite signals
- Live position table (entry / stop / take profit / current R:R)
- Full alert set: BSB, BSB+DMI, BSB+ADX, BSB+DMI+ADX, TP hit, SL hit, invalidated
- Works on any chart type (candlestick, Heikin Ashi, Renko, etc.) since prices are pulled via request.security() from the underlying ticker
This is a visual/alerting tool only - it does not place real orders. For educational and informational purposes only, not financial advice. Always backtest and forward-test before using with real capital. אינדיקטור
MoreThanMoney Aurum Flow ORBMoreThanMoney — Aurum Flow
A trend-following signal engine built for crypto perpetual futures (optimized for the 1H timeframe). Aurum Flow only takes trades in the direction of the dominant trend and frames each setup with a complete, static trade plan — entry, stop, and three take-profits — plus position-sizing and cost analytics for leveraged accounts.
How it works
Trend filter (DEMA stack): longs only when DEMA 15 > 50 > 238, shorts only when reversed. Counter-trend noise is filtered out.
Signal trigger: a Point-of-Control (volume POC) crossover, confirmed by the trend filter and an optional RSI check.
Static trade plan: on the signal bar, Entry / SL / TP1 / TP2 / TP3 are calculated once and frozen — the levels never drift.
ATR risk model: SL = 1.5×ATR by default; targets at 1:1.5, 1:3 and 1:6 R (fully configurable). A percentage mode is also available.
Built for perpetuals
Each level label shows the distance to entry in points and %.
An account panel turns your inputs (account size, risk %, taker fee, max leverage) into suggested notional, useful leverage, margin, and round-trip fee cost — so you know the real cost and sizing of every trade before you take it.
Alerts / automation
Uses alert() with a structured JSON payload (symbol, direction, entry, SL, all TPs, distances, leverage, cost). Create one alert with the "Any alert() function call" condition to route signals to your own webhook/journal.
Recommended use: apply to liquid perpetual markets on the 1H chart. Start with the default risk model and adjust to your own plan.
⚠️ For educational purposes only. Not financial advice. Trading leveraged perpetual futures carries a high risk of loss. Past performance does not guarantee future results.
© RicardoGarciaPT / MoreThanMoney. אינדיקטור
Momentum PowerTrend & Momentum Power (Futures Traders)
What it does
This indicator gives NQ traders a fast read on trend and momentum strength — for NQ and ES side by side — without having to flip charts. It's built for spotting confluence: when NQ and ES are both showing strong trend/momentum in the same direction, that agreement is often more meaningful than either instrument alone. When they diverge, that relative strength/weakness between the two can be just as useful to watch.
How it works
Trend Power is derived from Wilder's DMI/ADX — it measures how strong a directional trend is, not just whether one exists.
Momentum Power is an ATR-normalized rate-of-change — it measures how fast price is moving relative to recent volatility, so readings stay consistent across different volatility regimes.
Each reading is scored 1–3 dots (weak/medium/strong) and colored bullish, bearish, or neutral/indecisive.
The dashboard shows four rows: NQ Trend, NQ Momentum, ES Trend, ES Momentum — so you can see both instruments' internal state at a glance.
ES data is pulled live via request.security, so no need to switch charts.
New: Candle coloring on confluence
When enough dots across all four rows agree on direction (default: 7 of 12), the candles on your chart change color — green for bullish consensus, red for bearish. This is a visual cue for when NQ and ES trend/momentum are aligned, not aligned individual instrument readings in isolation.
Important — this is not a buy/sell signal
This tool does not generate entries, exits, or trade recommendations. It's a read on relative trend and momentum strength between NQ and ES to help you gauge confluence and context. Candle coloring reflects dot agreement, not a system signal — it still requires your own judgment, risk management, and confirmation from your broader trade plan before acting on anything you see.
Inputs
ES symbol is configurable (defaults to CME_MINI:ES1!; swap for micros or a fixed contract month)
All thresholds (trend/momentum weak/medium/strong, deadzones) are adjustable per your own calibration
Dot consensus threshold and candle colors are configurable independently of the dashboard dot colors אינדיקטור
Momentum Map Lite [PrimeFold]Four stochastic oscillators, read as one alignment score from 0/4 to 4/4.
Free, no signals, no alerts.
Momentum Map Lite runs four stochastic oscillators at different lookbacks
(fast, mid, slow, anchor) and plots their D-lines in one pane.)
You read one alignment score instead of watching all four:
- 4/4 BULL: all four turning up from oversold
- 4/4 BEAR: all four turning down from overbought
- Anything between: partial alignment, no full rotation
The background shades only at 4/4, and only on a closed bar, so it doesn't repaint.
The dashboard shows the current rotation count plus the strongest and weakest of the four.
It doesn't generate alerts, give entry signals, or detect divergence.
This is the alignment read.
Check whether momentum agrees across the four before you act on any one of them.
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Khabib Takedown Fractal Nest Breakdown ViprasolKhabib Takedown — Fractal Nest Breakdown 🤼
CONCEPT
This tool looks for SELF-SIMILARITY in a decline: a big bearish leg (lower high -> lower low)
with a smaller bearish leg nested inside it that is a scaled copy — same shape, a fraction of
the size. When the small "fractal" completes in the direction of the big one (a break of the
last low), the structure grounds price -> SHORT. It is a fractal-echo measurement, not a plain
lower-low. The nesting ratio between the small leg and the big leg is the core filter.
HOW IT DETECTS
- Swings are found with confirmed pivot highs/lows (left/right bar lookback) and chained into a
lightweight zigzag.
- The tool reads the last four alternating swings (high, low, high, low).
- Big leg = first high minus first low; small leg = second high minus second low.
- A valid nest requires: lower high and lower low (bearish structure); big leg >= (Min big x ATR);
small leg positive; and the nesting ratio (small/big) inside the band .
- The signal fires when price closes below the most recent swing low and the bar closes red.
- ATR (Wilder) scales the minimum big-leg size across instruments and timeframes.
ENTRY / STOP / TARGET
- Entry: SHORT on the close of the confirming (red) bar that breaks the last low.
- Stop: above the second (inner) swing high plus an ATR buffer (default 0.3 x ATR).
- Target: entry minus R multiple x risk (default 2R, where risk = stop distance).
- The script draws the big leg and the nested small leg, plus filled TP and SL zones that extend
to the right until price touches one of them.
NON-REPAINTING
Pivots are only used once fully confirmed (they require the right-side bars), and the signal is
evaluated on bar close (barstate.isconfirmed). Drawings are created on the confirmed bar. The tool
does not repaint completed signals. Live, the forming bar can still change until it closes, as with
any bar-close tool.
FEATURES
- Fractal nesting (scaled self-similar legs), not a plain lower-low break.
- ATR-scaled minimum big-leg requirement and adjustable nesting-ratio band.
- Automatic R-multiple TP and ATR-buffered SL, drawn as zones that extend until hit.
- One-trade-at-a-time option and a minimum-bars-between-signals gap to reduce clustering.
- On-chart status table (open trades) and an alertcondition for automation.
INPUTS OVERVIEW
- Swing pivot left/right bars: swing sensitivity.
- Nesting ratio band (ratLo/ratHi): how close in scale the small leg must be to the big leg.
- Min big leg (x ATR) and ATR length: minimum move and volatility scaling.
- TP R multiple, SL buffer (x ATR), min bars between signals, one-trade-at-a-time.
- Visual colors, label offset, and zone transparency.
HOW TO USE
1. Add to any liquid symbol and timeframe; start with defaults.
2. Tighten the nesting-ratio band for stricter self-similarity, or widen it for more signals.
3. Raise Min big leg (x ATR) to demand larger, cleaner declines before a nest counts.
4. Use the drawn TP/SL zones for context; set an alert on the signal for hands-off monitoring.
5. Combine with your own trend/context read before acting.
LIMITATIONS
- This is a pattern/education tool, not a signal service, and not financial advice.
- Breakdown patterns fail; nesting geometry is a filter, not a guarantee. Losing signals will occur.
- Pivot confirmation adds inherent lag (it needs bars to the right of a swing to confirm).
- Very choppy or illiquid markets can produce misshapen legs and weak signals.
- Requires user discretion, risk management, and position sizing. No performance is implied.
CREDITS
The name is an inspirational sports homage only; it does not imply any endorsement or affiliation.
ATR uses Wilder's average true range. Pivot/zigzag swing detection uses standard public techniques.
The fractal-nest (scaled self-similar leg) geometry, the detection assembly, and the trade/zone
visualization are original Viprasol work.
Original Viprasol work; no third-party Pine code reused.
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Williams %R Ribbon
Williams %R Ribbon
Most traders know Williams %R as a classic overbought/oversold oscillator. Unfortunately, many stop there.
The Williams %R Ribbon reimagines this well-known indicator into a modern visualization designed to make momentum, trend transitions, and market extension easier to read at a glance. Instead of focusing solely on fixed overbought and oversold levels, this indicator emphasizes the relationship between Williams %R and its signal line, transforming that relationship into an intuitive gradient ribbon that helps reveal changes in market structure before they become obvious.
Features
Momentum Ribbon
The traditional Williams %R line is transformed into a dynamic ribbon that expands, contracts, and changes color based on the relationship between Williams %R and its signal line.
Bullish momentum is displayed with a green ribbon.
Bearish momentum is displayed with a red ribbon.
Neutral conditions automatically fade to gray when momentum becomes indecisive.
The ribbon allows traders to recognize momentum shifts without constantly watching for line crossovers.
Multi-Timeframe Analysis
Analyze higher timeframe Williams %R values directly on lower timeframe charts.
Choose from:
Chart Timeframe
2× Chart Timeframe
4× Chart Timeframe
Manual Timeframe Selection
This makes it possible to monitor higher-timeframe momentum while executing trades on lower timeframes without adding multiple indicators to the chart.
Optional Display Smoothing
The ribbon includes display-only smoothing designed to reduce visual stair-stepping that naturally occurs when displaying higher timeframe calculations on lower timeframe charts.
Importantly:
Indicator calculations remain unchanged.
Signal generation remains unchanged.
Alerts continue using the original data.
Only the visual appearance of the ribbon is smoothed.
Extension Grade
Instead of simply identifying whether Williams %R is overbought or oversold, the indicator continuously classifies the current level into extension categories such as:
Moderately Extended
Extended
Very Extended
Extremely Extended
This provides additional context regarding how far price has stretched relative to its recent trading range.
Flexible Display Modes
Choose the visualization that best fits your trading style.
Available display modes include:
Ribbon
Signal Line Only
Solid Signal Line Only
Ribbon + Signal Line
Whether you prefer a clean minimalist chart or a full ribbon visualization, the indicator adapts to your workflow.
Dynamic Coloring
The ribbon automatically adjusts its colors based on current market conditions.
Strong bullish momentum receives brighter bullish colors.
Strong bearish momentum receives brighter bearish colors.
Neutral conditions fade naturally, helping reduce visual noise during consolidation.
Built-In Alerts
Alerts are included for:
Bullish ribbon crosses
Bearish ribbon crosses
Oversold exits
Overbought exits
All Extension Grade thresholds
Because alerts use the original unsmoothed Williams %R values, visual smoothing never delays signal generation.
Designed for Clarity
Many oscillators overwhelm traders with unnecessary visual clutter.
The goal of this indicator is the opposite.
Every design decision was made with one objective:
Help traders understand what the oscillator is communicating as quickly as possible.
The gradient ribbon allows momentum, trend direction, and market extension to be interpreted almost instantly while maintaining the familiar foundation of the classic Williams %R.
Best Used For
Trend confirmation
Multi-timeframe analysis
Momentum analysis
Mean reversion strategies
Swing trading
Identifying overextended markets
Building rule-based trading systems
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial, investment, legal, or tax advice and should not be considered a recommendation to buy or sell any financial instrument.
No indicator can predict future market movements or guarantee profitable results. Market conditions change continuously, and all trading involves risk, including the potential loss of all invested capital.
Past performance does not guarantee future results. Always perform your own analysis, practice sound risk management, and consult a qualified financial professional if you require investment advice. אינדיקטור
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Trend Continuation Momentum Detector TCMD v3 — Trend Continuation Momentum Detector
Core Concept
TCMD is a weighted multi-factor momentum scoring system built on Heiken Ashi candles. Instead of one signal triggering everything, it blends five independent measurements of "how strong is this move" into a composite Momentum Score (0–100), then layers state logic, filters, and risk levels on top.
The five scoring factors
Body Expansion (30% weight) — Is this candle's body unusually large? Calculated as HA body / 20-bar avg body, scaled to 0–100.
Wick Quality (25% weight) — Is the move "clean" (no rejection)? The wick opposing the candle's direction is measured as a % of body size — a small opposing wick scores high.
Trend Slope (20% weight) — Is the EMA of HA close actually rising/falling with conviction? EMA slope over slopeLookback bars, normalized by ATR, then multiplied by a sensitivity factor.
Volume (15% weight) — Is volume confirming the move? volume / 20-bar avg volume, scaled.
Z-Score / distance from mean (10% weight) — Is price extended from its own EMA in a statistically meaningful (but not extreme) way? (HA close − EMA) / stdev, scored with a bell-shaped curve peaking around 0.5–2.0 SD and decaying past 3 SD (overextended).
These combine into a weighted average (weights auto-normalize even if they don't sum to 100) to produce momentumScore.
Why Heiken Ashi
HA smooths noise so body size/wick logic reflects sustained pressure rather than single-tick noise — important since body expansion and wick quality are core inputs.
Signal Logic — 5-State Machine
Each confirmed bar is classified as:
STRONG BUY — momentumScore > threshold (default 75) AND bullish HA candle AND clean wick AND body > average AND HA close above EMA AND (optional) close above VWAP AND (optional) delta positive
STRONG SELL — mirror conditions to the downside
BUY / SELL (bias) — looser: HA close vs EMA + VWAP direction + momentumScore ≥ 50, no wick/body purity required
NEUTRAL — none of the above
This state drives everything downstream: candle coloring, markers, warnings, and TP/SL.
"One-Shot + EMA Reset" Entry Logic
The key anti-spam mechanism: a Strong Buy/Sell marker fires once per cycle, then locks. It won't fire again until price pulls back and touches the EMA (low touches EMA resets buy-side, high touches EMA resets sell-side). This stops multiple entry signals stacking up during one continuous trending move — you get one entry, then must wait for a retest before the next is valid.
Warning System
Light Warning (diamond) — Strong Buy/Sell degrades to plain Buy/Sell, same direction, losing steam
Heavy Warning (x-cross) — Strong Buy/Sell degrades to Neutral or flips to the opposite bias — reversal risk
These are degradation alerts for managing an existing position, not new directional entries.
VWAP & Delta as Confirmation Filters
VWAP filter — Strong signals optionally require price on the "correct" side of session VWAP. Most meaningful intraday since VWAP resets each session.
Delta filter — pulls real buy/sell volume from a lower timeframe (default 1-min) and requires it to agree with signal direction. Falls back to candle direction (close vs open) when lower-timeframe data isn't available in deep history.
Mean Reversion (MR) Signal — separate counter-trend logic
MR looks for momentum exhaustion at a statistical extreme, the opposite philosophy from the trend signals. It fires when:
Price is ≥ mrSdThreshold VWAP standard deviations away (default 1.8 ≈ near the 2SD band)
Momentum Score is weak (< mrMomentumMax) and optionally fading vs the prior bar
The current HA body is small (neutral) and its real high/low engulfs the previous candle's body — a rejection pattern
Session warm-up (mrMinBars) and minimum VWAP SD width (mrMinSdPct) guards are satisfied so it doesn't fire on noisy early bars
MR has its own optional dotted TP/SL lines and alerts, independent of trend-following TP/SL.
TP / SL Levels
When a fresh Strong Buy/Sell fires, TP1/TP2/SL are calculated from the signal candle's HA range (high−low), drawn from the next bar's real open:
Long: TP1 = entry + 2×range, TP2 = entry + 4×range, SL = entry − 1.5×range
Short: mirrored
An "Active SL" is tracked internally; if close crosses through it, an SL-hit marker/alert fires and clears the level.
How to Use It in Practice
Check the current state first — Strong Buy/Sell, Buy/Sell, or Neutral — as your top-line read.
Strong Buy/Sell circle = entry trigger. TP/SL lines (if enabled) auto-draw on the next bar's open.
Diamond (light warning) = start thinking about trimming/tightening — momentum easing, direction unchanged.
X-cross (heavy warning) = treat as an exit signal for the prior position, not a new entry.
Consecutive strong bars = move is extended, higher risk of a sharp mean-reversion snap — cross-check against MR triangles.
VWAP Z-Score / SD bands — gauge how stretched price is; MR triangles are your explicit counter-trend cue at extremes.
ATR — elevated/high readings mean volatility regime has shifted; sanity-check your TP/SL multiples still fit the current range.
Delta — cross-check real order flow agrees with the HA/EMA-based signal, useful for scalping confirmation beyond price action alone.
One thing worth flagging for your GC/NQ intraday use: the VWAP filter and MR signal are most meaningful on session-based intraday timeframes given the session-reset VWAP — on higher timeframes or across sessions, those two features lose some of their intended meaning. אינדיקטור
Relative Strength Confluence - vs BenchmarkRS Confluence - Dual Signal vs Benchmark
RS Confluence is a relative strength indicator designed to measure whether the current symbol is outperforming or underperforming a chosen benchmark (default: BTC), using two independent signals on the price ratio between the symbol and the benchmark.
How it works
The indicator calculates a ratio between the current symbol's close and the benchmark's close (Symbol / Benchmark), then evaluates it through two lenses:
Level — RSI applied directly to the ratio. Measures whether the symbol is currently trading strong or weak relative to the benchmark.
Momentum — RSI applied to the Rate-of-Change of the ratio. Measures whether relative performance is accelerating or decelerating.
Both signals are kept on the same 0-100 scale, allowing them to be plotted together and compared directly.
Confluence Scoring
Bullish signal — Level and Momentum both cross above the bullish threshold (default 55) → RS BULLISH 2/2.
Bearish signal — Level and Momentum both cross below the bearish threshold (default 45) → RS BEARISH 2/2.
Partial agreement (1/2) and neutral readings (0/2) are also tracked and displayed in the info table.
Features
- Configurable benchmark symbol (any ticker, default BTC)
- Dual confluence scoring (Level + Momentum)
- Background coloring on full confluence
- Triangle markers on the first bar of a new confluence signal
- Live info table showing ratio, level, momentum and confluence status
- Built-in warning when the chart symbol matches the selected benchmark
- TradingView alert conditions for bullish/bearish confluence and midline crosses
- Non-repainting (uses confirmed values on the current timeframe)
How to Read the Chart
Blue Line (Level) — RSI of the Symbol/Benchmark ratio. Shows whether the symbol is currently stronger or weaker than the benchmark.
Orange Line (Momentum) — RSI of the ratio's Rate-of-Change. Shows whether that relative strength is accelerating or fading.
Dashed Threshold Lines — The upper line is the bullish threshold, the lower line is the bearish threshold. Full confluence requires both Level and Momentum to be on the same side of their respective threshold at the same time.
Red Triangles (top, pointing down) — Mark the first bar of a new RS BEARISH 2/2 signal: both Level and Momentum dropped below the bearish threshold together.
Green Triangles (bottom, pointing up) — Mark the first bar of a new RS BULLISH 2/2 signal: both Level and Momentum rose above the bullish threshold together.
Background Shading — Highlights the full duration of an active confluence signal (not just the trigger bar), making it easy to see how long the symbol stayed in a bullish or bearish RS regime.
Suggested Interpretation
RS Confluence is intended as a context indicator, not a standalone trading signal. A coin can show a strong technical setup on its own chart, but if it is underperforming the benchmark (e.g. BTC), the setup carries less weight — and vice versa. Use this indicator to filter or confirm signals from other tools rather than trading it in isolation.
Important
Do not apply this indicator to a chart where the symbol is the same as (or economically equivalent to) the selected benchmark — the ratio becomes constant or near-constant, making the readings meaningless. The indicator detects an exact ticker match and displays a warning in the info table, but different tickers referencing the same underlying asset (e.g. the same coin on a different exchange or quote currency) are not automatically detected.
This is the third indicator in a related series, designed to work alongside Divergence Confluence 7 and Volume Surge - Dual Period as part of a broader confluence-based analysis approach. אינדיקטור
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EMA 8/12/21EMA 8/12/21 plots three exponential moving averages — fast, medium, and slow — to give a quick read on short-term trend and momentum. When the fast EMA is above the medium, and the medium is above the slow, price is in a bullish stack; the reverse order signals a bearish stack. Beyond the three lines, the indicator includes optional visual and alert tools (ribbon fill, background shading, bar coloring, a higher-timeframe EMA overlay, a noise filter, and crossover alerts) that can each be switched on independently from the settings menu. אינדיקטור
AlgoForex PULSE Momentum & Volatility CompassAlgoForex PULSE is a single-pane trend, momentum and volatility read-out. It replaces the usual stack of three separate indicators — a moving average, an oscillator and a volatility gauge — with one adaptive framework drawn directly on price.
WHY IT EXISTS
A fixed-period moving average has one setting and two problems: it lags in a trend and whipsaws in a range. Most traders answer this by adding an oscillator in a lower pane and a volatility filter somewhere else, then spend the session moving their eyes between three places. PULSE folds those three jobs into one object on the chart.
HOW THE BASELINE WORKS
The baseline is an adaptive average driven by an efficiency ratio. For the chosen lookback it measures:
• net directional travel = |price now − price N bars ago|
• total travel = the sum of every bar-to-bar move over the same N bars
The ratio of the two is the efficiency ratio. Near 1, almost all movement went one way, so the average is allowed to accelerate toward price. Near 0, price covered a lot of distance and ended up nowhere, so the average slows down and flattens. The smoothing constant is squared, which makes the transition between the two states sharper than a linear blend.
The practical effect: the line tracks trends closely, then stops reacting to noise when the market goes sideways.
AURORA BANDS
Three ATR-scaled layers are drawn on each side of the baseline and filled with the live trend colour. They serve two purposes at once:
• the WIDTH shows current volatility — the cloud breathes as ATR expands and contracts
• the POSITION of price inside the cloud shows how stretched the move is
A close hugging the outer band is an extended move. A close oscillating around the baseline is a market with no commitment.
TREND STATE (with hysteresis)
The trend does not flip the moment price touches the baseline. It requires a close beyond baseline ± (Trend Trigger × ATR), default 0.5× ATR. This buffer is the difference between a handful of meaningful flips per session and dozens of meaningless ones. Raise it for fewer, slower signals; lower it for a more reactive read.
Flips are marked with and labels.
MOMENTUM SCORE (0-100)
Rather than a second pane, momentum is reduced to one number:
Momentum = 55 × normalised position inside the bands + 45 × RSI
The position component is clamped to ±1 so a single spike bar cannot dominate the reading. The result drives three things: the gauge in the dashboard, the candle colour gradient, and the surge markers (small dots) fired when the score crosses the bullish or bearish levels.
CONVICTION
The dashboard shows the raw efficiency ratio as a percentage. This is deliberately kept separate from the momentum score because the two answer different questions:
• Momentum = which direction, how strongly
• Conviction = how clean that movement was
A high momentum score with low conviction is a move fighting through chop. High on both is the condition worth acting on.
SQUEEZE RADAR
Current ATR is compared against its own percentile over a lookback window (default: bottom 25% of the last 100 bars). While ATR sits in that bottom band the background is tinted, marking compression. The bar where ATR climbs back out is marked with a the expansion point.
Compression tells you nothing about direction, only that the range is unusually tight. Pair it with the trend state for a directional bias.
HOW TO USE IT
1. Read the trend colour first — it sets your bias for the session.
2. Check Conviction. Below roughly 20% the market is not paying trend-followers.
3. Wait for price to pull back toward the baseline rather than chasing the outer band.
4. Treat a squeeze release in the direction of the trend as a timing cue, not a signal on its own.
5. Momentum surge dots confirm strength — they are not standalone entries.
SETTINGS THAT MATTER MOST
• Adaptive Length — the responsiveness of the whole system. Lower = faster.
• Trend Trigger ( ATR) — signal frequency. The single most useful dial here.
• Squeeze Percentile — how rare a "squeeze" should be. Lower = stricter.
ALERTS
Bullish trend flip Bearish trend flip Bullish momentum surge Bearish momentum surge Squeeze started Squeeze release.
NOTES
Works on any symbol and any timeframe. The dashboard is bilingual (English) and can be switched in the settings.
This indicator is an analysis tool. It does not predict price and it is not financial advice. No indicator has an edge on its own — use it inside a plan that includes risk management and position sizing. Past behaviour of any tool does not guarantee future results. אינדיקטור
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True Strength Index Ribbon
True Strength Index Ribbon: A new way to visualize momentum
Most TSI indicators answer a simple question:
"Is momentum bullish or bearish?"
The True Strength Index Gradient Ribbon was designed to answer a much more useful question:
"How committed is momentum to that direction?"
Instead of displaying two ordinary oscillator lines that constantly cross and overlap, this indicator transforms the relationship between the TSI and its signal line into a continuously expanding and contracting gradient ribbon.
The result is an oscillator that allows traders to recognize momentum shifts almost instantly while dramatically reducing the visual clutter common to traditional TSI implementations.
Why a ribbon?
Momentum isn't simply bullish or bearish.
It has strength.
It has conviction.
It accelerates.
It weakens.
It compresses before expanding again.
The width of the ribbon naturally visualizes the distance between the TSI and its signal line.
A widening ribbon suggests increasing directional commitment.
A narrowing ribbon often indicates weakening momentum or an approaching transition.
Instead of mentally measuring the distance between two moving lines, your eyes recognize it immediately.
Designed for mean reversion and trend trading
While the indicator performs well as a traditional trend-following oscillator, it was specifically developed with mean reversion trading in mind.
Markets spend surprisingly little time at statistically stretched levels.
By combining directional momentum with configurable extension zones, traders can quickly identify when momentum is beginning to reverse after reaching unusually extended conditions.
The indicator intentionally avoids telling traders what to buy or sell.
Instead, it provides objective information that can be combined with price action, structure, moving averages, VWAP, volume, or any existing trading methodology.
Key Features
• Innovative gradient ribbon visualization
• Multiple signal moving average options:
EMA
SMA
WMA
RMA
HMA
VWMA
ALMA
• Higher-timeframe smoothing without changing your chart timeframe
• Four display modes:
Ribbon Only
Signal Line Only
Solid Signal Line Only
Ribbon + Signal Line
• Customizable bullish, bearish, neutral, and extreme colors
• Configurable extension levels for progressively stretched market conditions
• Optional extension-zone shading
• Live Extension Grade panel showing:
Direction
Degree of extension
Current TSI value
• Bullish and bearish crossover alerts
• Extension alerts for every major threshold
Timeframe smoothing
One of the more unique capabilities of this indicator is timeframe-based smoothing.
Instead of requiring traders to constantly switch chart timeframes, the script can internally scale its smoothing calculations to approximate the behavior of a higher timeframe while remaining on the current chart.
This produces cleaner momentum structure while preserving the convenience of lower-timeframe execution.
Extension Grades
Rather than treating all overbought and oversold conditions equally, this indicator classifies momentum into progressively stronger extension levels.
Examples include:
• Moderately Extended
• Extended
• Very Extended
• Extremely Extended
The goal isn't to predict reversals simply because a market reaches an extreme.
Instead, these classifications provide context so traders can better judge when momentum has become unusually stretched.
Built for customization
Every trader sees momentum differently.
Nearly every visual element can be customized, including:
Colors
Signal moving average
Signal smoothing
Ribbon visibility
Timeframe smoothing
Extension thresholds
Zone shading
Signal line appearance
This allows the indicator to adapt to different markets, different trading styles, and different visual preferences.
Design Philosophy
The best indicators don't make trading decisions.
They improve the trader's ability to understand market behavior.
The True Strength Index Ribbon was built around one simple objective:
Transform momentum from something you calculate...
into something you can immediately see.
If this script helps your trading, consider leaving a Like and sharing your feedback. Suggestions for future improvements are always welcome.
Disclaimer
This indicator is provided for educational and informational purposes only. It is designed to assist with market analysis and should not be considered financial or investment advice. No indicator can predict future market movements or guarantee profitable trades. Always conduct your own research, use appropriate risk management, and consider multiple factors before making any trading decisions. אינדיקטור
