Precision Market Entropy Heatmap [LuxAlgo]The Precision Market Entropy Heatmap indicator provides a high-resolution visualization of volume distribution and market activity within specific anchor intervals using intrabar data.
By utilizing lower timeframe (LTF) precision, it maps out where the most significant trading activity occurred, allowing traders to identify institutional interest zones and "fair value" areas through a dynamic heat-mapped profile.
🔶 USAGE
The indicator segments the chart into blocks based on the selected Anchor Interval. Within each block, a vertical distribution of volume is calculated using the Intrabar Precision setting to ensure the heatmap accurately reflects market participation at specific price levels.
Heatmap Blocks : Brighter colors represent higher volume concentrations (high entropy). These areas often act as significant support or resistance zones where the market has previously found "fair value" or high liquidity.
Identifying Institutional Interest : High-volume "bright" nodes represent price levels where heavy institutional participation occurred. These nodes act as powerful magnets or barriers for future price action.
Navigating Liquidity Voids : Darker areas indicate low volume nodes (low entropy). Price often "slips" through these gaps quickly. Traders can use these zones to anticipate fast-moving price action or set targets beyond the void.
Trend Direction via POC : Observe the slope and shifts of the Developing POC polyline. An ascending POC confirms bullish value migration, while a descending one suggests bearish value migration.
Mean Reversion : Significant price deviations from the largest high-volume node, when the POC remains static, can signal that the market is overextended and likely to return to "fair value."
Breakout Validation : Use the blocks to identify compression zones. A breakout is more reliable when the POC shifts into the new range, confirming that the move is backed by volume and accepted by the market.
POC Extensions : Dashed lines extend the session's final POC. These are dynamically colored based on their relationship to the current price: Green if the POC is below the current price (potential support) and Red if above (potential resistance).
🔶 DETAILS
Unlike standard Volume Profiles that look at fixed ranges, this script focuses on "Entropy" by visualizing the density of distribution across a user-defined grid.
By requesting security data from lower timeframes, it provides a much more granular view of price action than what is visible on the current chart timeframe alone.
The indicator uses a gradient-based coloring system to distinguish between low-activity areas and high-volume nodes, making it easier to spot "Liquidity Voids" (darker areas) and "High Volume Nodes" (brighter areas).
🔶 SETTINGS
🔹 Heatmap Settings
Anchor Interval : Sets the timeframe that defines each heatmap block (e.g., "D" for Daily blocks).
Intrabar Precision : Determines the lower timeframe used to calculate the volume distribution. Lower values (like "1m") provide higher precision but are limited by available historical data.
Number of Rows : Controls the vertical price resolution of the heatmap grid. Higher values create a more detailed but computationally heavier profile.
🔹 Style Settings
Heatmap Intensity : A three-color gradient selector that defines the color transition from low to high volume areas.
Heatmap Transparency : Adjusts the visibility of the heatmap blocks on the chart.
POC Extension (Bull/Bear) : Sets the colors for the dashed POC lines based on whether they are currently below (Bull) or above (Bear) the market price.
Show Developing POC : Toggles the visibility of the real-time POC polyline.
Auto : When enabled, the developing POC color automatically syncs with your chart theme's foreground color.
🔹 Display Settings
Max Sessions to Show : Limits the number of historical heatmap blocks rendered on the chart to maintain performance.
Extend POCs to Current Bar : When enabled, historical POC lines will extend to the far right of the chart until they are replaced by newer sessions.
Göstergeler ve stratejiler
Supertrend Breakout Boxes• ⭐ Built using original Supertrend logic to detect tradable breakouts.
• ⚙️ SuperTrend Breakout Pine v6 — built for XAUUSD precision, and equally lethal on Forex + Crypto.
• 📦 Shift Zones boxed consolidation after reversals = clean, tradable structure no noise.
• 📈 BUY STOP ▲ auto-plotted above bullish zones for breakout entries — no guesswork, just levels.
• 📉 SELL STOP ▼ auto-plotted below bearish zones for breakdown plays — instant clarity.
• 🧠 Adaptive spacing uses zone range % so stops scale with volatility perfect for Gold’s swings.
• 🧭 Projection lines extend forward so you can plan the trade before price arrives.
• 🟩🟪 Dual color system + BULL/BEAR labels = zero interpretation lag when trend flips.
• 🧼 Box-only display keeps charts clean: zones + stops = actionable, minimal, fast decisions.
• ⭐ Apply to your M30/H1/H4 TradingView chart — your breakout roadmap for Gold, FX, Crypto.
• 🚀 Make it your default overlay: spot consolidation → place stops → ride the expansion move.
• 📦 Enable/Disable BUY/SELL breakouts. For Gold you can use BUY only breakouts.
• 📦 Too many boxes on chart? Increase your ART multiplier from settings.
• ⭐ How to trade this? Enter in the direction of breakout.
NQ M30
GBPUSD M30
BTCUSD H1
UKOIL H1
Breakout Targets [AlgoAlpha]🟠 OVERVIEW
This script identifies consolidation zones and provides automated breakout targets with risk management levels. It focuses on finding periods where price action compresses and then tracks the subsequent breakout from these ranges. When a price breakout is confirmed, the script automatically projects three take-profit (TP) levels and a stop-loss (SL) based on current market volatility. This helps traders move from identifying a range to executing a trade with predefined exit points without manual calculation.
🟠 CONCEPTS
The script uses a relationship between Weighted Moving Averages (WMA) and Exponential Moving Averages (EMA) of price ranges to detect consolidation. When these moving averages cross, it triggers the detection of recent pivot highs and lows to draw a visual "box" or channel. This channel represents the current trading range. Once price closes outside this box, the script uses the Average True Range (ATR) to determine the volatility-adjusted distance for the stop loss. The take-profit levels are then calculated as multiples of this risk distance, ensuring a consistent reward-to-risk approach.
🟠 FEATURES
Dynamic box drawing that highlights potential supply and demand zones within the range.
Real-time breakout signals with bullish (green) and bearish (red) markers.
Automated trade projection including Entry, SL, and three TP levels.
Integrated alert system for breakouts and hits on any profit or loss target.
🟠 USAGE
Setup : Add the script to your chart and adjust the "Range Detection Period." A higher period will find larger, more significant ranges, while a lower period will find smaller, short-term consolidation zones.
Read the chart : Look for the grey boxes on your chart; these represent areas where the market is "coiling." A green arrow label indicates a bullish breakout from the top of the box, while a red arrow indicates a bearish breakout from the bottom. Once a breakout occurs, follow the projected horizontal levels for your trade management.
Settings that matter : The Stop Loss ATR Multiplier is the most critical setting for risk; increasing it will give the trade more room to breathe but will also push your TP levels further away. The Prevent Overlap toggle is useful for keeping the chart clean by ensuring the script doesn't draw new boxes until the current range has been resolved.
Step Generalized Moving Average [BackQuant]Step Generalized Moving Average
Overview
Step Generalized Moving Average (StepGMA) is a trend-structure moving average designed to solve two common problems with classic MAs:
They overreact to noise in chop, causing constant micro-flips.
They lag too much when you smooth them enough to stop that noise.
StepGMA tackles this by combining two layers:
A Generalized Moving Average (GMA) that increases responsiveness without simply shortening length.
A Step Filter that converts the MA into discrete “steps” sized by ATR, suppressing insignificant movement and only updating when the move is meaningful.
The output is a trend line that behaves more like market structure: it holds its level through noise, then “reprices” in chunks when volatility-adjusted movement is large enough.
What the indicator is trying to represent
Instead of showing every tiny MA wiggle, StepGMA tries to represent the idea that:
Most price movement is noise relative to volatility.
Trend only matters when it advances by a meaningful amount.
A good trend line should stay stable until the market forces it to move.
That makes this indicator useful as:
A regime filter (trend vs chop).
A trend-following bias line.
A structure-like dynamic S/R reference.
A signal generator with fewer low-quality flips.
Component 1: Moving Average engine (selectable)
The base smoothing is not fixed. You can choose between multiple MA types:
SMA, EMA, WMA, VWMA: classic smoothing families.
DEMA, TEMA: reduced-lag EMA variants.
T3: smooth yet responsive, good for trend.
HMA: very low lag, can be twitchy without filtering.
ALMA: center-weighted smoothing, often “cleaner” visually.
KAMA: adaptive smoothing based on efficiency ratio, good in mixed regimes.
LSMA: regression-based, tends to track trend direction well.
McGinley: dynamic smoothing designed to reduce lag during fast moves.
This matters because the StepGMA is not “one MA.” It is a framework that lets you pick the underlying smoothing behavior, then applies the generalization and step logic on top.
Component 2: Generalized Moving Average (GMA)
Where the idea comes from
Generalized MA here is essentially a form of two-stage smoothing compensation . A common trick in signal processing and technical analysis is:
Apply a smoother once (MA1).
Apply it again (MA2).
Use MA2 as a “lag reference,” then combine MA1 and MA2 to reduce lag while keeping smoothness.
This is related in spirit to reduced-lag filters (like DEMA/TEMA) and “zero-lag” style constructions that subtract part of the lag component. You are not magically removing lag, you are biasing the output toward the first-pass MA while subtracting some of the second-pass smoothing that represents delayed response.
How this script does it
It computes:
ma1 = MA(src, len)
ma2 = MA(ma1, len)
Then combines them using a volume factor (vf):
generalized = ma1 * (1 + vf) - ma2 * vf
Interpretation:
ma2 is a “more delayed” version of ma1.
Subtracting vf * ma2 and adding (1+vf) * ma1 pushes the output toward responsiveness.
vf controls how aggressive that push is.
Volume Factor (vf) is really an aggressiveness knob
The script clamps vf between 0.01 and 1.0 to keep it stable. Conceptually:
Low vf: behaves closer to a normal MA1, smoother, more lag.
High vf: more compensation, faster response, more risk of overshoot or noise sensitivity (which is then handled by the step filter).
So the GMA stage tries to give you a cleaner, faster trend estimate without just shrinking the MA period.
Component 3: Step Filter (the key behavior)
What a step filter is
A step filter turns a continuous signal (here, the generalized MA) into a discrete “staircase” signal. Instead of updating every bar, it updates only when the input has moved far enough to justify a new step.
This is conceptually similar to:
A quantizer in signal processing (rounding changes to discrete increments).
A volatility threshold filter (ignore changes smaller than X).
Market structure logic where levels matter more than micro movement.
How it works in this script
The filter maintains a persistent value: stepped .
Each bar:
diff = src - stepped
If |diff| < stepSize, do nothing (hold the level).
If |diff| >= stepSize, move stepped by a number of step increments.
The step increment size is:
stepSize = (stepMult / 100) * ATR(atrPeriod)
This is critical:
In higher volatility, ATR is larger, so steps are larger, fewer updates, more stability.
In lower volatility, ATR is smaller, so steps are smaller, more updates, more sensitivity.
So the step behavior automatically adapts to volatility.
Multiple-step catching behavior
If price jumps far beyond one step, the script does not move only one step. It moves by:
floor(|diff| / stepSize) * stepSize
So it “catches up” in discrete blocks, preserving the stepped character without lagging massively after large moves.
Direction and regime
Direction is determined by the stepped line, not the raw MA:
direction = +1 if steppedMA is rising
direction = -1 if steppedMA is falling
otherwise direction stays the same
Signals only trigger on direction state changes:
Long when direction flips to +1
Short when direction flips to -1
This matters because it prevents repeated signals while the trend remains intact. You only get a signal when the market has moved enough (in ATR terms) to justify a structural step in the opposite direction.
Secondary line and gradient fill
The script also plots a secondary “slow MA” (length 25, same MA type). This is not the core logic, it is a visual context layer:
StepGMA is the structure line (discrete, regime-driven).
Slow MA is a smoother reference for the underlying drift.
The gradient fill highlights separation and dominance.
When StepGMA sits above the slow MA, the fill reinforces bullish bias. When below, it reinforces bearish bias. It is basically a “trend pressure” visual, not a separate signal.
How to interpret it
1) StepGMA as trend structure
Flat steps mean price is not making enough volatility-adjusted progress to move structure.
Up-steps mean the market has advanced enough to reprice the trend line upward.
Down-steps mean deterioration significant enough to reprice structure downward.
2) Direction is a regime, not a tick-by-tick call
Because direction is derived from step changes, it is naturally a regime filter:
Fewer flips in chop.
Clearer regime transitions.
Signals tend to occur later than ultra-fast tools, but with better confirmation quality.
3) Step size controls noise rejection
StepMult is the main “anti-chop” control:
Higher stepMult = bigger ATR steps = fewer updates, fewer signals, more confirmation, slower to react.
Lower stepMult = smaller steps = more updates, more signals, more sensitivity, more chop risk.
4) Generalization controls responsiveness of the underlying trend estimate
vf controls how “fast” the MA tries to be before stepping:
Higher vf makes the MA respond faster to new price information.
Lower vf makes the MA smoother and more conservative.
The step filter then decides whether that change is meaningful enough to matter.
Practical use cases
Trend filter for entries
Only take longs when direction is bullish.
Only take shorts when direction is bearish.
Avoid trades when StepGMA is flat for long periods, market is not repricing meaningfully.
Dynamic support and resistance
Because the line holds levels, it often behaves like structure:
In uptrends it can act as a rising support reference.
In downtrends it can act as falling resistance.
Signal quality layer
The step-based flip signals tend to be higher quality than basic MA crossovers because they require:
A meaningful volatility-adjusted move.
A confirmed direction change in the stepped trend structure.
Trade management
Use StepGMA as a trailing invalidation reference.
Use direction flips as “hard” regime exits.
Use separation vs slow MA as a “pressure” gauge for scaling decisions.
Tuning guidelines
MA Type
Pick based on the character you want:
T3, ALMA, KAMA are usually good defaults for clean trend representation.
HMA/LSMA are faster but may need larger stepMult to avoid twitch.
SMA is slow and stable but can be too laggy unless vf is increased.
MA Period
Sets the base smoothing horizon. Longer periods give “macro trend,” shorter periods give “tactical trend.”
Volume Factor (vf)
Sets responsiveness compensation:
0.05–0.25 is usually sensible.
Higher than that can get aggressive, step filter will save you, but your steps may fire more often.
ATR Period and StepMult
These define your structure sensitivity:
ATR Period controls how stable the volatility estimate is.
StepMult controls how large a move must be to change structure.
If you want fewer flips, increase StepMult or ATR Period. If you want quicker reaction, lower StepMult or ATR Period.
What this indicator is and is not
It is:
A trend structure MA that ignores sub-threshold noise.
A regime tool that uses volatility-adjusted repricing logic.
A configurable framework that works across assets and timeframes.
It is not:
A predictive reversal tool.
A scalping signal machine.
A replacement for risk management.
Summary
Step Generalized Moving Average combines a lag-compensated moving average (generalization via MA1/MA2 blending) with a volatility-scaled step filter (ATR-based quantization). The result is a stable, structure-like trend line that updates only when price movement is meaningful relative to volatility, producing cleaner regimes, fewer chop flips, and clearer trend bias than conventional moving averages.
Dynamic Trend-Based Fibonacci Extension💡 This indicator is a sophisticated, automated technical analysis tool designed to identify high-probability trend continuation setups using the principles of market structure and Fibonacci geometry. By algorithmically detecting "A-B-C" price structures (Pivot -> Impulse -> Retracement), it projects dynamic Fibonacci Extension levels to forecast potential price targets for the next impulsive move (Wave C to D). Unlike static drawing tools, this script adapts to market volatility and features an advanced invalidation engine to keep your charts clean and your risk managed.
✨ Originality and Utility
Traders often struggle with the subjectivity of drawing Fibonacci extensions manually. This script solves that by standardizing the identification of market structure using a proprietary ZigZag algorithm enhanced with Average True Range (ATR) for volatility-adjusted sensitivity.
Key unique features include:
Automated Structure Detection: Instantly spots Bullish (Higher High, Higher Low) and Bearish (Lower Low, Lower High) sequences without manual input.
Dynamic Invalidation: The script monitors price action in real-time. If price breaks the invalidation point (Point A), the structure is immediately "grayed out" or deleted, preventing you from trading based on broken setups.
Golden Zone Targeting: Highlights the high-probability reversal zone between the 1.5 and 1.618 extensions, often associated with the completion of a measured move.
JSON Alerting: Built-in support for algorithmic trading with structured JSON payloads (Entry, TP, SL) ready for webhook integration.
🔬 Methodology and Concepts
The core logic operates on a three-step algorithmic sequence:
1. Pivot Identification: The script uses a "ZigZag" approach to find significant swing highs and lows. It employs an ATR-based threshold (or fixed deviation) to filter out market noise, ensuring only significant structural points are considered.
2. Geometric Validation: It evaluates the last three pivot points (A, B, C) to confirm a valid trend structure.
Bullish Setup: Point C must be higher than Point A but lower than Point B (a valid retracement).
Bearish Setup: Point C must be lower than Point A but higher than Point B.
3. Projection Mathematics: Once a valid ABC structure is locked, the script calculates extension targets using the standard formula: Target = Price C + ((Price B - Price A) * Ratio) . It also supports Logarithmic Scale calculations for assets with exponential growth, such as cryptocurrencies, ensuring proportional accuracy over large price ranges.
🎨 Visual Guide
The indicator paints a clear, detailed roadmap on your chart. Here is how to interpret the visual elements:
● Structure Lines
Solid Line (A to B): Represents the initial "Impulse" leg of the move.
Dashed Line (B to C): Represents the "Retracement" or corrective leg.
Green Structures: Indicate Bullish setups (looking for long entries).
Red Structures: Indicate Bearish setups (looking for short entries).
Gray/Dimmed Structures: These are invalidated setups where the price has breached the Stop Loss level (Point A).
● Extension Levels (Targets)
The script projects the following key Fibonacci ratios extending from Point C:
0.618 (Wave 5): An early profit-taking level, often corresponding to a truncated 5th wave.
1.0 (Measured Move): Where the extension equals the length of the initial impulse (AB = CD pattern).
1.272 (Harmonic): A common extension level for corrective structures or deep pullbacks.
Golden Zone (1.5 - 1.618): A highlighted fill area. The 1.618 level (Solid Line) is the "Golden Ratio" and is statistically one of the most significant targets in trending markets, often labeled as "Wave 3".
● Labels
Points A, B, C: Clearly marks the swing points defining the structure.
Right-Side Labels: Display the Ratio (e.g., 1.618) and the exact Price Level for easy order placement.
📖 How to Use
This tool is best used as a trend-following system.
1. Trend Identification
Wait for a new Solid Colored Structure (Green or Red) to appear. This confirms that a valid ABC retracement has occurred.
2. Entry Strategy
The "Trigger" is generally the reversal from Point C. Aggressive traders enter near C, while conservative traders may wait for a breakout above B.
Stop Loss: Place your SL just beyond Point A . If price breaks A, the script will automatically gray out the structure, signaling invalidation.
3. Profit Taking
Use the projected extension lines as dynamic Take Profit (TP) zones:
TP1: 1.0 (The Measured Move).
TP2: The Golden Zone (1.5 to 1.618). This is often the strongest target for a Wave 3 impulsive move.
4. Automation
For automated traders, create an alert using the "Any alert() function call" option. The script outputs a JSON string containing the Action, Ticker, Entry Price, TP (1.618), and SL (Point A).
⚙️ Inputs and Settings
You can fully customize the script to fit your asset class and timeframe:
● ZigZag Detection
Pivot Lookback Depth: (Default: 5) Determines how many bars to check left/right for a pivot. Higher numbers find larger, more significant structures.
Use ATR-Based Threshold: (Default: True) Adapts the sensitivity to market volatility.
ATR Multiplier: (Default: 2.0) Adjusts how much price must reverse to form a new leg.
● Structure Invalidation
Enable Structure Invalidation: (Default: True) Toggles the logic that checks if Point A is breached.
Invalidation Action: Choose "Gray Out" to keep history visible but dimmed, or "Delete" to remove failed setups entirely.
● Fibonacci Settings
Use Logarithmic Scale: Essential for crypto or long-term timeframe analysis.
Show 0.618 / 1.0 / 1.272 / 1.618: Toggles individual levels on/off to declutter the chart.
Extend Lines Right: Extends the target lines into the future for better visibility.
● Display Settings
Keep Last N Structures: Controls how many historical structures remain on the chart to prevent visual clutter.
Show Elliott Wave Labels: Adds theoretical wave counts (e.g., "Wave 3") to the ratio labels.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is grounded in Fractal Market Geometry and Elliott Wave Theory .
1. The Golden Ratio (Phi - 1.618):
Mathematically derived from the Fibonacci sequence, the 1.618 ratio is omnipresent in natural growth patterns. In financial markets, it represents the psychological "tipping point" of crowd behavior during an impulsive trend. This script emphasizes the 1.618 extension as the primary target for a "Wave 3," which is academically cited as typically the longest and strongest wave in a 5-wave motive sequence.
2. Harmonic AB=CD Patterns:
The inclusion of the 1.0 extension validates the "Measured Move" concept. Statistically, markets often move in symmetrical legs where the secondary impulse (CD) equals the magnitude of the primary impulse (AB).
3. Volatility Normalization (ATR):
By utilizing the Average True Range (ATR) for pivot detection, the script adheres to statistical volatility normalization. This ensures that the structures identified are statistically significant relative to the asset's current volatility regime, rather than relying on arbitrary percentage moves which fail across different asset classes.
⚠️ 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. I 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.
GK Trend Ribbon SWING + PREPARE HUDGK Trend Ribbon SWIGN+ PREPARE HUD
This is the swing trading version of GK Trend Ribbon system.
it works with the core logic and structure as its predecessors,
but is tuned for a smoother, longer trend phases and reduced noise, making it more suitable for holding trades through broader market moves
The ribbon adapts to volatility using ATR-based bands, wile the zero-lag bassline tracks real trend direction.
The visual prepare alerts gives a early heads up before confirmed GK BUY or GK SELL signals,
helping traders get positioned before momentum fully shifts
CREATOR'S preferred timeframes for XAUUSD
15MIN CHART
30MIN CHART
also works on other assets
designed for structure trend based swing execution-patience, discipline and letting the ribbon lead
Adaptive Kinetic Ribbon [QuantAlgo]🟢 Overview
The Adaptive Kinetic Ribbon indicator synthesizes price velocity and volatility dynamics to identify trend direction, momentum strength, and acceleration phases across varying market conditions. It combines velocity-based momentum measurement, adaptive volatility weighting, dual-speed ribbon analysis, and acceleration-deceleration detection into a unified visual system that quantifies periods of sustained directional movement and momentum shifts, helping traders and investors identify trend continuation and reversal signals across various timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its adaptive kinetic approach, where velocity and volatility components are calculated dynamically and then smoothed through an adaptive alpha mechanism.
First, Velocity is measured to capture raw directional momentum by calculating the net price change over the lookback period:
velocity = source - source
This creates a momentum vector that quantifies how far and in which direction price has moved, providing the foundation for understanding trend strength and establishing whether the market is in a sustained directional phase.
Then, Volatility is computed to evaluate price variability and market noise by analyzing the standard deviation of bar-to-bar price changes:
volatility = ta.stdev(source - source , length) * mult
The volatility sensitivity multiplier allows traders to adjust how responsive the indicator is to market noise, with higher values creating faster adaptation during volatile periods and lower values maintaining stability during choppy conditions.
Next, Adaptive Alpha is calculated to create a dynamic smoothing coefficient that automatically adjusts based on the relationship between velocity and volatility:
adaptive_alpha = math.abs(velocity) / (math.abs(velocity) + volatility)
This alpha value ranges from 0 to 1, where values closer to 1 indicate strong, clear directional movement (high velocity relative to volatility), causing the indicator to respond quickly, while values closer to 0 indicate noisy, range-bound conditions (high volatility relative to velocity), causing the indicator to smooth more heavily and filter out false signals.
Following this, the Kinetic Line is constructed using exponential smoothing with the adaptive alpha coefficient:
var float kinetic_line = na
kinetic_line := na(kinetic_line ) ? source : kinetic_line + adaptive_alpha * (source - kinetic_line )
This creates an adaptive moving average that automatically adjusts its responsiveness: during strong trends with clear velocity, it tracks price closely like a fast EMA; during choppy, volatile periods, it smooths heavily like a slow SMA, providing optimal trend identification across varying market regimes without manual parameter adjustment.
Then, Ribbon Lines are generated by applying additional moving average smoothing to the kinetic line at two different speeds:
ribbon_fast = ma(kinetic_line, ribbon_fast_length, ma_type)
ribbon_slow = ma(kinetic_line, ribbon_slow_length, ma_type)
The dual-ribbon structure creates a visual envelope around the kinetic line, where the fast ribbon responds quickly to kinetic changes while the slow ribbon provides trend confirmation, with crossovers between these ribbons generating primary trend reversal signals.
Finally, Trend State and Acceleration are determined by analyzing the relative positioning and directional movement of the ribbon lines:
trend_up = ribbon_fast > ribbon_slow
acceleration = ribbon_fast > ribbon_fast
ribbonColor = trend_up ?
acceleration ? bullAccel : bullDecel :
not acceleration ? bearAccel : bearDecel
This creates a four-state classification system that distinguishes between bullish acceleration (uptrend strengthening), bullish deceleration (uptrend weakening), bearish acceleration (downtrend strengthening), and bearish deceleration (downtrend weakening), providing traders with nuanced momentum insights beyond simple bullish/bearish binary signals.
🟢 Signal Interpretation
▶ Bullish Acceleration (Bright Green): Fast ribbon above slow ribbon AND fast ribbon rising, indicating confirmed uptrend with building momentum = Strongest bullish condition, ideal for new long entries, adding to positions, or holding existing longs with confidence
▶ Bullish Deceleration (Dark Green): Fast ribbon above slow ribbon BUT fast ribbon falling, indicating uptrend intact but momentum weakening = Caution signal for longs, potential trend exhaustion developing, consider tightening stops or taking partial profits
▶ Bearish Acceleration (Bright Red): Fast ribbon below slow ribbon AND fast ribbon falling, indicating confirmed downtrend with building momentum = Strongest bearish condition, ideal for new short entries, exiting longs, or maintaining defensive positioning
▶ Bearish Deceleration (Dark Red): Fast ribbon below slow ribbon BUT fast ribbon rising, indicating downtrend intact but momentum weakening = Caution signal for shorts, potential trend exhaustion developing, prepare for possible reversal or consolidation
▶ Bullish Crossover: Fast ribbon crosses above slow ribbon, signaling trend reversal from bearish to bullish and initiation of new upward momentum phase = Primary buy signal, entry opportunity for trend-following strategies, exit signal for short positions
▶ Bearish Crossover: Fast ribbon crosses below slow ribbon, signaling trend reversal from bullish to bearish and initiation of new downward momentum phase = Primary sell signal, entry opportunity for short strategies, exit signal for long positions
▶ Ribbon Spread Width: Distance between fast and slow ribbons indicates trend strength and conviction, where wider spreads suggest strong, sustained directional movement with low reversal probability, while tight or converging ribbons indicate weak trends, consolidation, or impending reversal conditions
▶ Bar Color Alignment: When bar coloring is enabled, candlestick colors mirror the ribbon state providing immediate visual confirmation of momentum conditions directly on price action, eliminating the need to reference the indicator separately and enabling faster decision-making during active trading
🟢 Features
▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches: "Default" provides balanced trend identification suitable for swing trading on 4-hour and daily charts, "Fast Response" delivers heightened sensitivity optimized for intraday trading and scalping on 5-minute to 1-hour charts, and "Smooth Trend" offers conservative trend identification ideal for position trading and long-term analysis on daily to weekly charts.
▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend reversals and momentum transitions. "Bullish Crossover" triggers when the fast ribbon crosses above the slow ribbon, signaling the shift from downtrend to uptrend and the beginning of bullish momentum building. "Bearish Crossover" activates when the fast ribbon crosses below the slow ribbon, signaling the shift from uptrend to downtrend and the beginning of bearish momentum building. "Any Ribbon Crossover" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general trend reversal monitoring and ensuring no momentum shift goes unnoticed.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of acceleration versus deceleration states across various devices and screen sizes. Each preset uses distinct colors for the four momentum states (bullish acceleration, bullish deceleration, bearish acceleration, bearish deceleration) with proper visual hierarchy. Optional bar coloring with adjustable transparency provides instant visual context of current momentum state and trend direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess trend positioning and acceleration dynamics while analyzing price action patterns and support/resistance levels.
AOC Pro - Elite Audited Suite (V6.6)this is one of best indicator for indan market based on option chain volume support and resistance for best result one can follow
WMA MAD Trend | RakoQuantWMA MAD Trend | RakoQuant is a robust volatility-regime trend system built on Weighted Moving Average structure and Median Absolute Deviation dispersion, engineered to produce clean directional states while suppressing wick-driven noise and unstable ATR distortions.
This tool belongs to the RakoQuant protected research line, combining a smooth WMA baseline, statistically robust volatility envelopes (MAD bands), SuperTrend-style regime logic, and a strength-aware visualization layer designed for consistent performance across trending, mean-reverting, and mixed market environments.
Core Concept
This indicator answers one fundamental question:
Is price holding a statistically meaningful deviation from its WMA baseline, or reverting back into range?
Unlike classic SuperTrend variants that rely on ATR (highly sensitive to spikes and wicks), WMA MAD Trend uses Median Absolute Deviation as its volatility engine — a robust dispersion measure that remains stable in the presence of outliers.
How It Works
1) WMA Baseline (Directional Structure)
At its core, the indicator defines the market’s structural center using a Weighted Moving Average:
* WMA Baseline tracks directional bias with smoother, trend-weighted responsiveness
* The baseline can optionally be smoothed further in intraday mode to reduce micro-chop
This provides a stable anchor for dispersion-based regime classification.
2) MAD Volatility Engine (Robust Dispersion Core)
Instead of ATR, volatility is measured via Median Absolute Deviation (MAD) around the baseline:
* Compute absolute deviation:
|Close − Baseline|
* Take rolling median of deviation over madLen
* Optional normalization scales MAD toward a stdev-like measure (via constant factor)
This makes volatility estimation:
* Outlier-resistant
* Wick-resistant
* Regime-stable during abnormal price spikes
3) MAD Bands + SuperTrend Trailing Logic (Regime State Model)
Bands are built as:
* Upper Band = Baseline + Factor × MAD
* Lower Band = Baseline − Factor × MAD
Then classic SuperTrend-style trailing constraints are applied so the active band persists until a true regime break occurs.
That produces a state engine:
* Bull regime when price breaks above the trailing upper logic (transition into trend-up state)
* Bear regime when price breaks below the trailing lower logic (transition into trend-down state)
This behaves like a structural market regime model, not a reactive oscillator.
4) Strength Engine (Deviation-Based Intensity)
A defining layer of this tool is the MAD Z-score intensity system:
* Compute Z-score:
z = |Close − Baseline| / MAD
* Map into a 0 → 1 strength scale
Interpretation:
* Low deviation = weak regime confidence (likely chop / mean reversion)
* High deviation = strong regime confidence (trend expansion)
5) Intensity Visual Engine (Signal Clarity Layer)
WMA MAD Trend includes a protected visual engine that scales opacity with strength:
* Strong expansion = solid trend band
* Weak deviation = faded band
This gives immediate clarity:
Not all flips are equal — strength is displayed structurally.
6) Optional Institutional Filters
Two optional confirmation modules allow institutional-grade filtering:
Baseline Confirmation
* Bull flips only accepted if price is above baseline
* Bear flips only accepted if price is below baseline
EMA Stack Filter
* Bull only when Fast EMA > Slow EMA
* Bear only when Fast EMA < Slow EMA
These modules make the tool suitable for:
* Directional portfolio bias frameworks (RSPS)
* Regime classification overlays
* Trend confirmation filters for execution systems
7) Strong Flip Tier Alerts
Signal quality is tiered:
* Standard flip alerts
* Strong flip alerts only when deviation strength exceeds a threshold
This produces a higher-confidence regime transition model for swing positioning and exposure scaling.
How To Use
✅ Trend regime overlay
✅ Wick-resistant volatility trend filter
✅ MAD-based deviation strength engine
✅ Directional bias tool for portfolio systems
Best use cases:
* 1H–1D trend frameworks
* Regime filters for signal stacking
* Chop suppression in volatile markets
Suggested workflow:
* Bull bias when the regime is bullish and strength is rising
* Reduce risk / defensive when strength fades or a bearish flip occurs
* Pair with execution tools (breakout/mean-reversion entries) for timing
Screenshot Placement
📸 Example chart / screenshot: snapshot
ALMA SD Bands | RakoQuantALMA SD Bands | RakoQuant is a volatility-regime band system built from first principles using an institutional smoothing framework: an ALMA baseline combined with ALMA-smoothed standard deviation width, designed for clean trend containment and controlled regime classification.
This tool is part of the RakoQuant protected research line, focusing on minimal noise, persistent state logic, and volatility-aware market structure rather than traditional reactive Bollinger-style band behavior.
Core Concept
This indicator answers one key structural question:
Is price operating inside a stable volatility regime, or transitioning into a new directional band expansion phase?
Unlike classical deviation band systems that fluctuate aggressively candle-to-candle, ALMA SD Bands introduce:
* Ultra-smooth baseline structure
* Smoothed volatility width
* Persistent directional regime logic
* Deadband-based flip stabilization
The result is a clean institutional containment model rather than noisy retail band plotting.
How It Works
1. ALMA Baseline (Institutional Mean Structure)
The centerline of the system is computed using:
Arnaud Legoux Moving Average (ALMA)
ALMA provides:
* Reduced lag compared to EMA
* Superior smoothness compared to SMA
* Stable regime structure across crypto volatility
This baseline acts as the equilibrium axis of the band system.
2. Standard Deviation Volatility Width (Smoothed)
Band width is driven by volatility, measured through standard deviation, with two selectable modes:
* Price Standard Deviation
* Return Standard Deviation (log-return volatility)
Rather than using raw deviation directly, volatility is passed through a second ALMA smoothing layer:
Smoothed Volatility = ALMA(StdDev)
This eliminates the jitter and band shaking that defines most Bollinger-type systems.
3. Adaptive Containment Bands
Final bands are constructed as:
* Upper Band = ALMA Basis + Multiplier × Smoothed Volatility
* Lower Band = ALMA Basis − Multiplier × Smoothed Volatility
Unlike traditional ±2σ envelopes, the multiplier is intentionally adjustable and tuned for regime containment rather than extreme tagging.
4. Deadband Regime Engine (Persistent State Logic)
A defining feature of this protected release is its regime persistence model.
Instead of flipping trend bias instantly, the script applies a volatility-scaled deadband buffer:
* Bull regime activates only above Basis + Deadband
* Bear regime activates only below Basis − Deadband
This removes micro-flips and produces a true structural regime state:
* Bullish containment (green)
* Bearish containment (red)
* Neutral transition zone suppression
Regime state persists until a confirmed boundary transition occurs.
Visual Engine
ALMA SD Bands follows the RakoQuant minimal institutional plotting standard:
* Active volatility bands only
* Smooth containment fill
* Optional candle painting by regime bias
* Ultra-clean overlays suitable for confluence stacking
This indicator is designed as a structural layer, not a clutter generator.
How To Use
✅ Volatility containment framework
✅ Trend regime bias overlay
✅ Expansion / contraction classifier
✅ Portfolio directional filter (RSPS compatible)
Recommended workflow:
* Trade long only during bullish regime containment
* Defensive during bearish containment
* Watch for regime flips as volatility transition events
* Combine with momentum triggers for execution
Best environments:
* 4H–1D swing trend structure
* Volatility breakout classification
* Institutional band containment systems
Screenshot Placement
📸 Example chart / screenshot:
MarketStructureLab - Swing Reversion Zones (FREE)Swing Reversion Zones is an indicator designed to analyze price reversions to market structure after impulsive moves.
The indicator builds a smoothed structural baseline and a dynamic deviation range, highlighting areas where price statistically tends to slow down, react, or retrace.
What it shows
• Zones of potential overbought and oversold conditions
• Areas where price reverts back to structure
• Context for pullback-based entries rather than entries in the middle of a move
How to use
• Trading swing movements within an existing trend
• Identifying price reactions near the range boundaries
• Confirming long and short setups in combination with market structure
Features
• Adaptive smoothing without reliance on static levels
• Works across all markets and timeframes
Important
This indicator is not a signal system and does not make predictions.
It highlights reaction and reversion zones relative to market structure. Trade decisions remain the trader’s responsibility.
Designed for traders who focus on structure, context, and market reaction.
SACHIN_WITH_SLgears for setting signals use it
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All in One Trend Indicator by Nicks**Multi-Factor Confluence Suite (7-in-1 Overlay)**
### **Description:**
**Overview**
This script is a comprehensive workspace optimizer designed to combine 7 essential trading tools into a single, efficient overlay. By merging trend analysis, market structure, liquidity zones, and momentum signals, this tool allows traders to bypass the standard indicator limit and view high-probability confluence setups without a cluttered chart.
**Key Features & Functionality**
* **Trend Filtering (Hull Suite):**
* A lag-reduced moving average system that visualizes the macro trend.
* Includes candle coloring options to easily identify trend alignment.
* **Market Structure (SMC):**
* Automatically maps Break of Structure (BOS) and Change of Character (CHoCH).
* Identifies Order Blocks and Fair Value Gaps (FVG) for potential entry/exit zones.
* **Liquidity Analysis:**
* **Swings:** Highlights key swing highs and lows where stop losses typically reside.
* **Grabs:** Specifically detects "stop hunts" where price wicks liquidity before reversing (Bubbles visualization).
* **Momentum Signals (UT Bot & MACD):**
* **UT Bot:** Provides high-sensitivity Buy/Sell labels based on ATR trailing stops.
* **MACD Overlay:** Plots signal crossovers directly on the price chart (arrows) to identify momentum shifts without occupying a separate oscillator pane.
* **Session Timing:**
* Visualizes major trading sessions (NY, London, Tokyo, Sydney) with an optional dashboard table.
**How to Use**
This suite is designed for "Confluence Trading."
1. **Identify Trend:** Use the Hull Suite color to determine the directional bias.
2. **Find Structure:** Wait for price to react at an SMC Order Block or Liquidity Zone.
3. **Confirm Entry:** Look for a UT Bot label or MACD Arrow in the direction of the trend.
**Settings**
Each module is separated by headers in the settings menu. You can toggle specific indicators on/off to suit your trading style and keep the chart clean.
**Credits & Attribution**
This script is a compilation of open-source logic from the TradingView community, adapted and updated to Pine Script v5/v6 for compatibility. Special thanks to the original authors for their foundational work:
* *InSilico* (Hull Logic)
* *LuxAlgo* (SMC & Liquidity Swings Logic)
* *Flux Charts* (Liquidity Grabs Logic)
* *QuantNomad* (UT Bot Logic)
* *TraderHariKrishna* (Session Logic)
**License**
This source code is subject to the terms of the Mozilla Public License 2.0 and/or Creative Commons (CC BY-NC-SA 4.0) where applicable by the original authors. This script is intended for educational and personal use.
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Multi-Session Volume Profile Suite [MarkitTick]💡 This indicator provides a sophisticated, institutional-grade Volume Profile analysis suite that renders multiple temporal profiles simultaneously. It is designed for traders utilizing Auction Market Theory who require a holistic view of where value is being established across Daily, Weekly, and Monthly timeframes, alongside custom intraday sessions. By bypassing standard built-in functions in favor of a custom array-based calculation engine, this tool offers granular control over Value Area logic, Point of Control (POC) migration, and multi-timeframe confluence detection.
✨ Originality and Utility
Standard Volume Profile tools often limit traders to a single timeframe or the visible range of the chart. This creates a fragmented view of the market, where a trader might see the daily value but miss the context of the weekly or monthly auction.
This script solves that problem by layering three distinct higher-timeframe profiles (Daily, Weekly, Monthly) plus three customizable intraday session profiles onto a single chart.
● Key Differentiators
Confluence Detection Engine: The script mathematically calculates when the Points of Control (POC) of different timeframes overlap (e.g., Daily POC inside Weekly POC). It explicitly highlights these high-probability zones with specific labels (e.g., "TRIPLE CONFLUENCE"), automating the search for key support/resistance levels.
POC Migration Tracking: Unlike static profiles, this tool tracks the "Shift" of the POC. It visualizes whether value is migrating higher (▲), lower (▼), or remaining neutral (=) compared to the previous period, providing immediate insight into the trend's acceptance.
Synthetic Chart Protection: The script includes logic to detect and prevent usage on non-standard chart types like Heikin Ashi or Renko, ensuring that the volume data processed is accurate and not subject to the repainting often found in synthetic OHLC variations.
🔬 Methodology and Concepts
The core engine relies on a custom implementation of the Volume Profile formula using dynamic arrays. It does not simply pull pre-calculated data but processes the tick volume of the underlying asset relative to price action.
• Volumetric Binning
The script divides the price range of a specific period (e.g., a Day) into a user-defined number of "rows" (bins). As price trades within a specific bin, the corresponding volume is accumulated.
Point of Control (POC): The bin with the highest accumulated volume is identified as the POC. This represents the "Fair Value" or the mode of the distribution for that period.
Value Area (VA): The script calculates the total volume of the profile and then identifies the range surrounding the POC that contains a specific percentage (default 70%) of that volume. It uses a dual-scanning algorithm that expands upwards or downwards from the POC based on which adjacent row has higher volume, mimicking the auction process of testing prices.
• Exact-Anchor Pivots
Simultaneously, the script tracks "Exact-Anchor" pivots. Unlike standard pivots that settle at the close, these track the absolute High and Low of the period (Daily/Weekly/Monthly) in real-time and extend them until a new period begins.
🎨 Visual Guide
The indicator uses a color-coded hierarchy to distinguish between timeframes. Understanding this visual language is critical for interpreting the data.
● Profile Hierarchy (Default Theme)
Daily Profile (Yellow/Gold): Represents the immediate, short-term auction.
Solid Line: Daily POC.
Dotted Line: Daily Value Area High (VAH) and Low (VAL).
Weekly Profile (Blue): Represents the intermediate auction. A solid Blue line indicates the Weekly POC.
Monthly Profile (Purple): Represents the macro auction. A solid Purple line indicates the Monthly POC.
● Labels and Symbols
Right-Side Labels: At the end of profile lines, text labels display the exact price of the POC.
Shift Arrows (▲ / ▼): Located inside the POC label, these arrows indicate the direction the POC has moved relative to the previous period's POC. An Up arrow (▲) suggests buyers are accepting higher prices.
Confluence Labels: If enabled, a text box appears near price action stating "POC CONFLUENCE" or "TRIPLE CONFLUENCE" when the POCs of different timeframes align within a tight margin.
Block Symbol (⬛): A small block icon may appear above bars to denote the center of a specific session's time window.
● Pivot Lines
Orange Lines: Previous Daily High (PDH) and Low (PDL).
Green Dashed Lines: Previous Weekly High (PWH) and Low (PWL).
Red Dotted Lines: Previous Monthly High (PMH) and Low (PML).
White Dashed Line: New York Midnight Open price (if enabled).
📖 How to Use
This suite is designed for "Contextual Trading." It answers the question: Where are we relative to value?
• Trend Acceptance
Observe the Shift Arrows on the POC labels. In a healthy uptrend, you should see a sequence of Daily and Weekly profiles with (▲) arrows, indicating that the market is validating higher prices as fair value. If price rises but the POC remains lower or shifts down, it may indicate a "weak high" or a potential reversal (divergence between price and value).
• Support and Resistance
The POC lines act as high-probability support and resistance. Price returning to a Weekly (Blue) or Monthly (Purple) POC often results in a reaction, as these are areas of significant historical agreement between buyers and sellers.
• The Confluence Play
Pay special attention when the "Confluence" label appears. When a Daily POC aligns with a Weekly or Monthly POC, that specific price level possesses reinforced structural importance. A rejection from such a level is a strong signal; a breakout through such a level often leads to an explosive move as value transitions rapidly.
⚙️ Inputs and Settings
The script is highly customizable via the settings menu.
● General Settings
Row Resolution: Determines the granularity of the profile. Higher numbers (e.g., 100) create smoother, more detailed profiles but use more calculation resources.
Value Area %: Default is 70.0, representing the standard deviation of value.
Show POC Shift: Toggles the (▲/▼) comparison logic.
● Profile Scope
Show Daily/Weekly/Monthly: Checkboxes to individually enable or disable specific timeframe profiles.
Session Lookback: Controls how many historical days/weeks the profiles are kept on the chart.
● Pivots (PDH/PMH/NYM)
Show Pivots: Enables the High/Low lines for previous periods.
Show NY Midnight: Specifically toggles the opening price of the New York session (00:00 EST).
● Alerts
Approach Distance: Sets the sensitivity (in ticks) for alerts when price nears a key POC level.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is grounded in Auction Market Theory (AMT) and statistical distribution analysis.
• The Market as a Mechanism
AMT postulates that the primary purpose of the market is to facilitate trade. Price advertises opportunity, while Time regulates the opportunity. Volume is the validation of that price. When the market spends significant time and transacts significant volume at a specific level, it establishes "Value."
• Gaussian Distribution and Central Limit Theorem
A Volume Profile is essentially a histogram of volume over price, often resembling a Gaussian (Normal) Distribution or "Bell Curve" when the market is balanced.
POC (Mode): The peak of the curve. Mathematically, this is the mode of the dataset—the price occurring with the highest frequency (volume).
Value Area (Standard Deviation): In a normal distribution, approximately 68.2% of data points fall within one standard deviation of the mean. This script defaults to a 70% Value Area to approximate this statistical boundary. Prices outside this area are considered statistically significant anomalies or "imbalanced."
• Confluence and Probability
The "Confluence" feature leverages the intersection of independent datasets. If the mode (POC) of a short-term distribution (Daily) aligns with the mode of a long-term distribution (Weekly), the probability of that price representing "True Value" increases exponentially. This aligns with statistical principles where overlapping data clusters suggest a stronger underlying signal amidst market noise.
⚠️ 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. I 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.
Funded Indicator### Detailed Step-by-Step Guide for Using the "Funded Indicator" on TradingView
This comprehensive guide explains how to install, configure, interpret, and use the "Funded Indicator" — an advanced Pine Script v5 tool that combines momentum signals from RSI, MACD, and Stochastic across multiple timeframes, with volume spike confirmation, divergence detection, a real-time dashboard, trend background coloring, and customizable alerts. It is designed for technical traders analyzing forex, cryptocurrencies, stocks, or any other market on TradingView.
**Important Disclaimer**: This indicator is provided for educational and analytical purposes only. It does not constitute financial advice, guarantee profits, or predict future price movements. Trading carries the risk of loss of capital. Always perform your own analysis, apply proper risk management (such as stop-loss orders), and comply with TradingView’s terms of service. No warranties are made — performance varies depending on market conditions, asset, timeframe, and user settings. Backtest thoroughly before using real capital.
The guide assumes you have a TradingView account (free or premium) and basic familiarity with the platform.
#### **Step 1: Installation on TradingView**
- **Open TradingView**:
- Log in to tradingview.com via browser or the mobile/desktop app.
- Load a chart of any symbol (e.g., BTCUSD, EURUSD, AAPL) and choose an initial timeframe (5m or 15m recommended for first tests).
- **Access the Pine Editor**:
- Click the “Pine Editor” tab at the bottom of the chart (or press Alt + Shift + P on PC/Mac).
- If hidden, click the “...” button in the bottom toolbar and select “Pine Editor.”
- **Paste the Script Code**:
- Delete any existing code in the editor.
- Copy and paste the complete Pine Script code of the indicator.
- Click “Save” (or Ctrl + S). Give it a name like “Funded Indicator” or “Momentum Fusion Pro.”
- **Add to the Chart**:
- Click the green “Add to Chart” button in the top-right corner of the editor.
- The indicator should now appear: a Fusion Score line, horizontal levels, buy/sell labels, divergence tags, background coloring (if enabled), and a dashboard table in the top-right corner.
- **Verification**:
- Check the console at the bottom of the editor for any compilation errors. If errors appear, review the error message carefully.
- Refresh the page or switch timeframes/symbols if elements do not display.
- If the dashboard is missing, ensure “Show Dashboard” is enabled in the settings (see Step 2).
#### **Step 2: Configuring the Inputs (Customization)**
- **Open Settings**:
- Locate the indicator name in the left panel (e.g., “Funded Indicator”).
- Double-click it or right-click → “Settings.”
- Go to the “Inputs” tab.
- **Detailed Explanation of Each Input Group**:
- **───── Core & Timeframe ─────**
- **Source**: Price data used for calculations (default: close).
Use “close” for standard behavior; “high” for bullish bias or “low” for bearish bias.
- **Higher TF Multiplier (× current)**: Defines the higher timeframe (default: 4).
Example: 5m chart × 4 = 20m analysis. Increase (5–10) for stronger trend filtering in volatile markets; decrease (2–3) for faster response in low-volatility pairs.
- **───── RSI ─────**
- **Length**: RSI period (default: 14).
Shorten (7–10) for sensitive signals; lengthen (21+) for smoother trends.
- **Overbought / Oversold**: Thresholds (default: 70 / 30).
Raise OB to 80 in strong uptrends; lower OS to 20 in strong downtrends.
- **───── MACD ─────**
- **Fast / Slow / Signal**: Standard MACD periods (12/26/9).
Shorten Fast to 8–10 for quicker signals in crypto; lengthen for smoother forex behavior.
- **───── Stochastic ─────**
- **%K Length / %K Smooth / %D Smooth**: Periods (14/3/3).
Reduce smoothing for rawer signals; increase for noise reduction.
- **Overbought / Oversold**: Thresholds (80/20).
Adjust similarly to RSI levels.
- **───── Volume & Weights ─────**
- **Volume MA Length**: Period for volume average (default: 20).
Increase to 50 for stronger confirmation; decrease to 10 for intraday.
- **Volume Spike × MA**: Spike detection threshold (default: 1.6).
Raise to 2.0+ in low-volume assets; lower to 1.2 in high-liquidity markets.
- **RSI / MACD / Stoch Weight**: Fusion score weights (default: 0.40 / 0.35 / 0.25).
Adjust to emphasize preferred oscillator; keep sum close to 1.0.
- **───── Display & Alerts ─────**
- **Trend Background**: Enables green/red background coloring (default: true).
Disable if the chart feels cluttered.
- **Show Dashboard**: Displays the summary table (default: true).
Highly recommended for quick multi-TF overview.
- **Show Divergence Labels**: Shows bullish/bearish divergence tags (default: true).
Disable in very noisy or ranging markets.
- **Save Changes**:
- Click “OK.” Reload the chart if necessary.
#### **Step 3: Interpreting Visual Elements and Signals**
- **Fusion Score Plot**: Thick line colored green above zero, red below.
Above +40 = strong bullish momentum; below -40 = strong bearish momentum.
- **Horizontal Lines**: Zero (gray dashed), +40 (green dotted), -40 (red dotted).
Use as dynamic support/resistance for momentum.
- **Buy/Sell Shapes**: Green “BUY” below candle, red “SELL” above candle.
Appear only on crossovers confirmed by volume spike.
- **Divergence Labels**: “Bull Div ▲” (green) and “Bear Div ▼” (red).
Indicate potential reversals when price and RSI diverge.
- **Trend Background**: Light green = strong bull, light red = strong bear.
Provides instant visual bias.
- **Dashboard Table** (top-right corner): Shows current and higher-TF values for Fusion, RSI, MACD Hist, Stoch, Volume Spike, and Trend.
Green = bullish, red = bearish, yellow = neutral/overbought/oversold.
#### **Step 4: Generating and Using Signals / Basic Strategy**
- **Buy Signal** — “BUY” label + fusion crosses above 0 + volume spike + bullish divergence + green background.
- **Sell Signal** — “SELL” label + fusion crosses below 0 + volume spike + bearish divergence + red background.
- **Strong Trend Confirmation** — Dashboard shows “STRONG BULL” or “STRONG BEAR” → favor trend-following trades.
- **Neutral / Ranging** — No strong color or dashboard signals → avoid new positions or wait for breakout.
- **Example Workflow**:
1. Check higher-TF column in dashboard for alignment.
2. Wait for “BUY” or “SELL” label with volume “YES”.
3. Confirm divergence (if present) and background color.
4. Enter trade with stop-loss below/above recent swing.
5. Exit on opposite signal or when fusion returns to zero.
#### **Step 5: Setting Up Alerts**
- Right-click on the chart → “Add Alert.”
- Select “Funded Indicator” as the condition source.
- Choose one of the built-in alerts:
- “Fusion BUY + Volume”
- “Fusion SELL + Volume”
- Set frequency to “Once Per Bar Close” to reduce noise.
- Customize message (e.g., “Buy signal on {{ticker}} at {{close}}”).
- Enable notifications (email, app push, SMS, webhook for automation).
- Test alerts in a demo environment first.
#### **Step 6: Testing and Optimization**
- **Backtesting** — Use TradingView’s “Bar Replay” tool to manually review historical signals.
- **Forward Testing** — Apply the indicator to a paper trading account for 1–4 weeks.
- **Parameter Optimization** — Adjust one input at a time (e.g., volume threshold, weights) and compare performance across different symbols and timeframes.
- **Market-Specific Tuning** — Crypto may need higher volume thresholds; forex may benefit from tighter RSI levels.
#### **Step 7: Advanced Tips and Important Reminders**
- **Best Timeframes**: 5m–1h for intraday; 4h–daily for swing trading.
- **Complementary Tools**: Use with support/resistance, moving averages, or volume profile for better context.
- **Risk Management**: Never risk more than 1–2% per trade. Always set stop-loss and take-profit levels.
- **Limitations**: No indicator is perfect. False signals occur in ranging or low-volume markets.
- **Updates**: If new features are added (e.g., additional filters), re-save and re-add the script.
This guide helps users maximize the value of the Funded Indicator while maintaining responsible trading practices. Happy analyzing and trading!
[KTY] Similar Pattern Finder Similar Pattern Finder
Hi, I'm Kim Thank You 👋
KTY = Kim Thank You (김땡큐)
Finds the most similar historical price pattern and projects a future path based on what happened next.
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📊 FEATURES
- Pattern Matching
- Scans historical bars for the closest matching price pattern
- Auto-adjusts scan range and pattern length per timeframe
- Future Projection
- Projects future price path based on what followed the matched pattern
- Scaled to current price range for accurate projection
- Endpoint price label displayed
- Signal Dashboard
- 🚀 STRONG BULL / 💥 STRONG BEAR: High confidence + directional
- 📈 BULLISH / 📉 BEARISH: Above threshold + directional
- ⚠️ LOW CONFIDENCE: Below minimum threshold
- ⏸️ NO MATCH: No valid pattern found
- Confidence % bar and projected move % displayed
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✅ HOW TO USE
- Higher confidence % = more reliable projection
- Use as directional bias, not exact price target
- Combine with support/resistance or indicators for confirmation
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💡 TIPS
- Works best in trending or repeating market conditions
- Low confidence warnings should be taken cautiously
- Past pattern similarity does not guarantee future results
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⚠️ DISCLAIMER
This indicator is for educational purposes only.
Not financial advice. Always do your own research.
Renko Cloud (H-Ashi Data)First, thanks to the author of the original idea - pl.tradingview.com and his indicator
The idea behind my idea is to smooth the chart as much as possible...
This script is a trend-following indicator that combines Heikin Ashi price data, Renko box logic, and ALMA (Arnaud Legoux Moving Average) smoothing to filter out market noise.
A small note at the beginning - the indicator on Japanese candles and Heiken Ashi is the same - figuratively - the calculations from Heiken Ashi are projected onto regular candles ;)
PS - The default settings are proposed for BTC/USD on the 1D interval
Here is a breakdown of what the script does:
1. Data Pre-processing (Heikin Ashi)
Instead of using standard price bars, the script fetches Heikin Ashi data. Heikin Ashi candles are already a filtering mechanism designed to reduce "sawtooth" price action and make trends easier to spot. The script specifically uses the average of the Heikin Ashi Open and Close as its main price source.
2. Dual ALMA Moving Averages
The script plots two ALMA lines on the chart:
Medium (Aggressive): A faster moving average used to detect short-term trend shifts.
Long: A slower moving average used to identify the macro trend.
Visuals: These lines change color (e.g., Green for up, Red for down) based on their slope.
3. "Synthetic" Renko Logic
Standard Renko charts discard the time axis, but this script calculates Renko logic on top of a standard time-based chart.
Brick Size Calculation: You can choose how the "brick" size is determined:
ATR: Dynamically adjusts based on volatility (using an ALMA-smoothed ATR).
Percent: Based on a percentage of the price.
Static: A fixed point/pip value.
Trend Tracking: The script only updates its "current" price level when the source price moves by at least one full "brick size." This effectively ignores minor price fluctuations that don't meet the threshold.
4. Dynamic Ribbon & Visualization
The script visualizes the trend through a "Ribbon" or "Channel":
Renko Center: The smoothed path of the Renko levels.
Bands: It plots an Upper and Lower band (one brick size away from the center).
Color Gradients: The space between the bands is filled with color. It turns Green when the Renko direction is Up and Red when the Renko direction is Down.
Barcolor: It automatically changes the color of your price bars to match the detected trend.
Summary of Use Case
This indicator is designed for trend traders who want to stay in a position as long as the momentum is strong and exit only when a significant reversal occurs. By combining Heikin Ashi and Renko logic, it aims to eliminate "fakeouts" and keep the trader focused on the primary market direction.
Happy hunting for profits!
Midnight Open Retracement [LuxAlgo]The Midnight Open Retracement indicator highlights the 12:00 AM ET opening price and provides real-time probability statistics for price retracing to this level during the New York session.
Designed specifically with NQ (Nasdaq 100) futures data in mind, the tool helps traders identify high-probability "magnet" levels for New York open scalps based on historical performance.
🔶 USAGE
The Midnight Open is a cornerstone of ICT concepts, acting as a "true" daily open that often serves as a point of institutional re-accumulation or distribution. This script automates the identification of this level and provides a dashboard to help traders decide when to expect a retracement.
🔹 Identifying the Bias
The script compares the New York opening price (9:30 AM ET) to the Midnight opening price:
If NY opens above the Midnight Open, the indicator identifies a potential bearish retracement bias toward the level. If NY opens below the Midnight Open, the indicator identifies a potential bullish retracement bias toward the level.
🔹 Using as a Profit Target
Because the Midnight Open is retraced to frequently, it serves as an ideal Take Profit (TP) target for opening range scalps. The indicator marks the exact moment a retracement occurs with a visual marker, confirming the level has been tested.
🔶 DETAILS
The statistics integrated into this tool are based on extensive backtesting of NQ futures over 6-month periods. Understanding these probabilities allows traders to filter out low-conviction setups and focus on high-probability days.
🔹 The Core Probabilities
When price opens above the midnight level, it retraces to touch it 74% of the time. When price opens below the midnight level, it retraces to touch it 63% of the time.
🔹 Weekday Variance
Not all trading days are equal. The script accounts for "By Weekday" statistics:
High Probability (Wednesdays): On Wednesdays, retracement probabilities can jump as high as 89% for opens above the midnight level. Low Probability (Mondays): Mondays often exhibit "Avoid" criteria, with retracement probabilities frequently falling below 60%.
The dashboard dynamically updates the "Probability of Retracement" based on the current day of the week, helping you stay aligned with historical data.
🔶 SETTINGS
🔹 Session Settings
Timezone Mode: Choose between Exchange time or "America/New_York" (recommended for ICT concepts). Midnight Open Time: The specific time used to set the daily baseline. NY Open Time: The time used to determine the session opening bias. NY Session Range: Defines the boundary for the New York session box.
🔹 Visual Settings
Show Midnight Level: Toggles the horizontal line representing the midnight price. Show Retrace Circle: Displays markers on the chart when the retracement goal is met. Show NY Session Box: Draws a dynamic box for the NY session that changes color based on the current price relative to the open.
🔹 Dashboard Settings
Show Insights Report: Toggles the statistics dashboard on the chart. Position/Size: Controls the UI placement and scale of the data table.
RSI Directional OverlayRSI Directional Overlay is a clean, minimal price‑pane tool built around a custom Adaptive RSI (ARSI) engine. It focuses on one thing only: showing the true directional state of momentum with instant visual clarity.
How it works:
The indicator compares ARSI vs. its signal line and classifies the market into two directional regimes:
Green State: ARSI > Signal
Red State: ARSI < Signal
Each state is then refined using the RSI midline (50):
Light Green: Bullish shift forming, ARSI below/near 50
Dark Green: Strong bullish momentum, ARSI above 50
Light Red: Bearish shift forming, ARSI above/near 50
Dark Red: Strong bearish momentum, ARSI below 50
This creates a smooth, intuitive color transition without the noise of yellow “transition” candles.
Directional arrows appear only when ARSI crosses its signal line, giving clean, unambiguous shift markers.
Why it’s useful:
Removes emotional bias by showing momentum shifts instantly
Highlights early trend transitions with light colors
Confirms strong directional conviction with dark colors
Keeps the chart clean — no traffic lights, no labels, no clutter
Perfect for scalpers, day traders, and momentum‑based entries
Best setup:
Use on 1m–15m for intraday precision
Pair with the RSI Cross Over pane indicator for confirmation
Light colors = early transition
Dark colors = strong directional follow‑through
Arrows = momentum shift triggers
This indicator is designed for traders who want clarity, speed, and zero noise.
Swing FlowSwing Flow is a market structure indicator designed to identify and trade with the prevailing trend by tracking swing highs and swing lows. Based on the principle that markets trending higher print higher highs and higher lows while markets trending lower print lower highs and lower lows, the indicator automatically detects these pivot points and classifies the current structure as Bullish, Bearish, Contracting, or Expanding. When structure is confirmed bullish, the indicator calculates an invalidation level set 2% below the most recent higher low, providing a logical stop placement where the bullish thesis would be negated if price trades through it.
A key feature is the Early Warning System, which alerts traders when price breaks above a prior swing high or below a prior swing low before the new pivot is officially confirmed. Because pivot detection requires several bars of confirmation, this early warning gives traders advance notice that structure may be shifting, allowing earlier entries with defined risk rather than waiting for lagging confirmation. When the early warning is active, the indicator displays the potential invalidation level and calculates the risk percentage from current price, helping traders assess whether the reward-to-risk ratio justifies an entry.
The indicator marks CME gold open times with vertical lines, highlighting the 6 PM ET session opens that often bring increased liquidity and directional moves. Sunday opens are marked with thicker yellow lines to distinguish the weekly open from regular daily session opens. This feature is particularly useful for gold traders using PAXG as a crypto proxy or GLD in traditional brokerage accounts, though the indicator works on any asset with swing structure.
The info table displays comprehensive market data including the current structure state, early warning status, last confirmed swing high and low with color coding to indicate whether each was higher or lower than its predecessor, the invalidation level and risk percentage, and buy zone status which activates when price approaches the higher low in bullish structure. Technical indicators include RSI with 5-zone color coding from oversold to overbought, ADX for trend strength, and directional movement indicators showing whether bulls or bears are dominant.
Open interest analysis provides insight into positioning and leverage in crypto markets, displaying OI score with conviction levels, sentiment classification based on OI and price movement relationships, buildup risk assessment combining OI elevation with ATR compression, and leverage pressure scoring that synthesizes multiple factors into a single actionable metric. The final row shows 1-hour and daily 24-period EMAs with green or red backgrounds indicating whether price is above or below each level, providing quick trend confirmation across timeframes.
The scoring bars at the top and bottom of the chart offer at-a-glance momentum and direction assessment. The RSI bar at top uses a 5-zone color scheme progressing from dark green in oversold territory through lime, white at neutral, pink, and maroon in overbought territory. The Directional bar at bottom combines the directional movement reading with ADX strength, displaying green tones when the bullish DI is dominant and red tones when bearish DI leads, with color intensity increasing as ADX indicates stronger trending conditions.
Swing Flow is designed for traders who want to align with market structure rather than fight it, entering positions near logical support levels with predefined invalidation points that keep losses small when wrong while allowing profits to run when the structure thesis proves correct. The combination of structure detection, early warning alerts, comprehensive market data, and visual scoring bars provides everything needed to identify high-probability setups and manage risk effectively.
Elliott Wave: Pro Forecast + DashboardTitle: Elliott Wave: Pro Forecast + Dashboard
This is an improvement from my previous Elliott Wave Script
Description:
This is an advanced, "context-aware" Elliott Wave forecasting engine designed for both scalpers and swing traders. Unlike static wave indicators, this script uses an adaptive logic system to detect the dominant market trend and automatically project the most probable wave structure (Impulse vs. Correction) in real-time.
It features a "Real-Time Swing Detection" engine that bypasses standard pivot lag during high-volatility events, ensuring your forecast targets remain accurate even during sharp breakouts or crashes.
Key Features
🧠 1. AI / Adaptive Trend Logic
Auto-Detect Mode: The script analyzes the 200 EMA and recent pivot structure to automatically determine if the next move is an Impulse (1-2-3-4-5) or a Correction (A-B-C / W-X-Y).
Dynamic Bias:
Bull Trend + Recent Low = Projects Bullish Impulse.
Bull Trend + Recent High = Projects Bullish Correction.
Manual Override: You can force "Impulse Only" or "Correction Only" modes for specific analysis.
⚡ 2. Real-Time Swing Detection (Volatility Guard)
Standard pivot indicators lag by several bars. This script monitors price action in real-time. If price breaks significantly below a "live" low or above a "live" high, the script immediately updates the forecast anchor point, preventing the "floating lines" issue common in other indicators during volatility spikes.
🌊 3. Advanced Wave Structures
Impulse: Projects a standard 5-wave motive structure using Fibonacci expansions (1.618 for Wave 3, Equality for Wave 5).
Correction Selector: Choose between:
Double Zig-Zag (W-X-Y): For sharp, complex corrections. Includes automatic Parallel Channeling.
Triangle (A-B-C-D-E): For sideways consolidation patterns.
Extensions: Automatically detects and draws Extension targets (0.5 Vol) before the reversal begins.
📊 4. Professional Dashboard
Status Panel: Displays the detected trend phase (e.g., "Detected: Bull CORRECTION").
Target Table: Lists exact price targets for every wave (1-5, A-E, W-X-Y) along with the % distance from the current price.
Macro Forecast: Includes a separate, thicker 1-Year Macro projection that runs independently of the short-term forecast.
🔗 5. Scenario Linking
"Link" Mode: Optionally chain the forecast to start after the Extension target is hit, allowing you to visualize "Extension -> Reversal" scenarios seamlessly.
How to Use
Add to Chart: Works best on 1H, 4H, and Daily timeframes.
Check the Status: Look at the top-right dashboard. The "STATUS" row tells you if the script sees an Impulse or Correction.
Adjust Sensitivity: Use the "Short-Term Sensitivity" setting (Default: 5) to tune the pivot detection to your specific asset's volatility.
Correction Style: If the market is chopping sideways, switch the "Correction Pattern" in settings to Triangle. If it is trending sharply, leave it on Double Zig-Zag.
Disclaimer: This tool provides hypothetical projections based on Fibonacci ratios and Elliott Wave theory. It is not financial advice. Always use stop losses and proper risk management.
[CT] ORB SuiteThis indicator is an Opening Range first tool that also includes an Initial Balance framework, breakout detection, and a full target and alerting package. It is designed to define a clean Opening Range at the start of the regular trading session and then turn that range into an actionable breakout structure by plotting the key levels, projecting measured targets, and visually confirming the exact breakout candle on your chart. The Opening Range component can be configured as either the first bar of the session or a true time-based duration, such as 1, 2, 5, 10, 15, 30 minutes, or 1 hour, which lets you standardize the opening structure across different chart timeframes without needing to “count bars.” As price prints during the Opening Range window, the script continuously updates the OR high and OR low, then locks those levels once the window closes so you have a stable reference for the rest of the session. The OR area can be shaded for quick visual recognition, and an optional OR midpoint line and label can be displayed to help you judge whether price is accepting above the middle of the range or failing back through it.
Once the Opening Range is formed, the script upgrades the workflow by adding breakout qualification rules that you can control. You can choose confirmation based on a body cross, a close cross, or a close above or below the range boundary, which is a meaningful improvement over simple “touch” logic because it helps reduce false signals and makes the breakout trigger more consistent with how you actually trade. When a breakout is confirmed, the indicator can highlight the breakout candle itself so there is no ambiguity about which bar triggered the signal. You can highlight the candle body, the chart background, or both, and you can select separate colors for long and short breakouts. This makes chart review and live decision-making cleaner because you can immediately see where the breakout truly occurred instead of guessing between several candles that probed the level.
The next major upgrade is the breakout target system. After a long breakout, targets are calculated as true multiples of the Opening Range size, starting from the OR high and projecting upward by the selected multiples. After a short breakout, targets are calculated from the OR low and projected downward by the same multiple logic. By default, the script supports four take-profit targets, TP1 through TP4, with sensible preset multiples that step outward in a structured way, but you can customize each multiple to match your instrument and style. This target system is a practical enhancement because it provides objective, range-based profit-taking levels that align with common intraday expansion behavior rather than arbitrary fixed tick offsets. You also get full control over whether the target lines and labels appear only after a breakout triggers, which keeps the chart clean and prevents “pre-biasing,” or whether you want to see projected targets in both directions before the breakout occurs for planning and scenario mapping. In addition, the target hit detection is configurable so you can decide whether a target is considered “hit” by a simple high or low touch or only after a close crosses the target, which is important for traders who want stricter confirmation and cleaner backtesting logic.
Beyond the OR and targets, the indicator includes a complete Initial Balance module as an additional layer of structure. The IB duration is selectable and independent, and the script can plot IB high, IB low, and an optional IB midpoint, with optional fill shading to make the balance area obvious. A key upgrade here is the ability to base the breakout targets on either the Opening Range or the Initial Balance. This means you can run a pure OR breakout playbook, a pure IB breakout playbook, or compare both structures on the same session without changing indicators. This flexibility matters because OR breakouts tend to be more sensitive and earlier, while IB-based levels often better reflect the session’s early balance and can produce more stable expansion targets.
Another major improvement is the history and session management. The script can freeze all drawings at the end of the session so lines and fills do not incorrectly extend into the next day, and it can optionally keep a configurable amount of history, such as the last 20 sessions, so you can study how price reacts to prior OR and IB structures. You also have control over whether IB should be included in that stored history, which helps if you want a cleaner chart while still retaining the OR context. To support different chart themes and personal preferences, label styling is expanded with controls for label background colors, text colors, transparency, and horizontal offsets, so the levels remain readable without covering price action.
Finally, the alerting system is upgraded into a full set of actionable events. The indicator can generate alerts for session open and session close, for the moment the Initial Balance forms, for the moment the Opening Range forms, for long and short breakouts, and for each target hit from TP1 through TP4. Alerts can be used in standard alertcondition form or as dynamic alert() calls that include price-filled messages, which is a practical enhancement for traders who want their phone or desktop notifications to contain the exact level values rather than generic labels.
This script is a derivative work built on the original Initial Balance foundation authored by © czoa under the Mozilla Public License 2.0, with extensive additions and improvements by © ChaosTrader63 to expand it into a complete Opening Range and Initial Balance breakout suite. The core upgrades are the configurable time-based Opening Range, breakout candle highlighting, multi-target measured range projections through TP4 with optional pre-projection behavior, stricter breakout confirmation modes, target hit rules, richer history controls, stronger label customization, and a comprehensive alert system that turns the session structure into a usable trade planning and execution framework directly on TradingView.
OF CVD Divergence Labels (Lite) by TheActualSnailCVD Divergence (Order Flow Proxy) — Lite
This indicator highlights price vs Cumulative Volume Delta (CVD) divergences directly on the price chart, using a lower-timeframe intrabar volume approximation and optional Open Interest (OI) confirmation.
It is designed to catch potential exhaustion, absorption, and early trend shifts, without cluttering the chart with extra panes or lines.
How it works
1️⃣ Intrabar Delta (Order Flow Proxy)
Volume is decomposed on a lower timeframe (e.g. 30s, 1m).
Each intrabar candle contributes volume to buying or selling pressure based on price movement.
This produces a delta (buy − sell volume).
Delta is accumulated into CVD, optionally reset on a higher timeframe (Daily / Weekly / Monthly).
This is not exchange-level footprint data — it’s a robust proxy that works on any TradingView symbol.
2️⃣ Pivot-Based Divergences
The script detects divergences using confirmed swing pivots:
Bullish Regular Divergence
Price makes a lower low
CVD makes a higher low
→ Suggests selling pressure is weakening
Bearish Regular Divergence
Price makes a higher high
CVD makes a lower high
→ Suggests buying pressure is weakening
Optional hidden divergences (continuation-type) can also be enabled.
All labels are plotted at the actual pivot bar, not repainting forward.
3️⃣ Open Interest filter (optional)
When enabled:
Labels are filtered by OI trend direction
You can require:
Rising OI (participation increasing)
Falling OI (position unwinding)
This helps reduce signals caused by low-liquidity noise or passive price movement.
Settings used (shown in screenshots)
These are the settings I personally use for cleaner, more precise pivot labels:
Lower TF (intrabar): 30s
Improves delta accuracy and reduces false divergences
CVD reset: Daily
Keeps CVD context relevant to the session
Pivot length: 5
Good balance between signal frequency and reliability
Use wicks for pivots: ✅ ON
Captures true extremes where absorption often happens
Min CVD diff filter: 0
No artificial filtering — rely on structure + confluence
Show hidden divergences: ❌ OFF
Focus on reversal-type signals
Enable OI filter: ✅ ON
Adds participation context
OI trend length: 5
Short-term confirmation without lag
Filter labels by OI: None
View all signals first, then judge context manually
How to use it (important)
This indicator is not a standalone trading system.
Best used together with:
Market structure (HH / HL / LL / LH)
Key levels (HTF levels, VWAP, range highs/lows)
Liquidity concepts (sweeps, equal highs/lows)
Volume behavior & session context
Divergence ≠ immediate reversal.
Think of it as a context tool, not an entry button.
⚠️ Disclaimer
This indicator is provided for educational purposes only.
It is not financial advice and should not be used on its own to make trading decisions.
Always combine with other confluences and proper risk management.
