Market Structure Break & OB Probability Toolkit [LuxAlgo]The Market Structure Break & OB Probability Toolkit indicator provides an institutional framework for identifying high-probability liquidity zones and significant market structure transitions using momentum-based filters and volume analysis.
🔶 USAGE
The indicator aims to provide a systematic approach to structural analysis, allowing traders to identify clear institutional footprints. By integrating statistical filters, the tool helps isolate high-conviction signals from market noise.
🔹 Market Structure Breaks (MSB)
Unlike standard fractal-based breaks, the MSB logic in this toolkit utilizes a Momentum Z-Score filter . This ensures that structural shifts are only highlighted when price breaks a pivot with significant conviction.
Pivot Lookback: Custom sensitivity for identifying swing highs and lows.
Volatility Filtering: Only breaks exceeding the statistical threshold are labeled, helping traders avoid low-momentum fakeouts.
🔹 Institutional Order Blocks (OB)
The script automatically detects and manages Order Blocks based on the candle preceding an MSB. Every zone includes a Point of Control (POC) line for precise entry or target consideration.
Standard OBs: Formed during structural transitions, representing potential institutional interest.
High-Probability OBs (HP-OB): Zones identified with exceptionally high impulse and volume signatures (score > 80%). These are visually distinct to highlight their increased significance.
🔹 Session Range Integration
Traders can track the ranges of the London, New York, Tokyo, and Sydney sessions. This allows for the identification of structural breaks occurring at session extremes or during high-liquidity windows.
🔹 Strategy Application
Trend Direction: Identify the prevailing bias through MSB signals. A bullish MSB followed by a retracement into a Bullish OB provides a classic institutional entry scenario.
Zone Confluence: Look for High-Probability OBs that align with Session Highs/Lows for increased trade conviction.
Re-test Analysis: Enable "Extend Broken OBs" to see how price interacts with flipped liquidity zones.
🔶 DETAILS
The toolkit utilizes several advanced logic components to maintain chart clarity and analytical depth:
Intelligent Mitigation Logic: Active zones are managed in real-time. Traders can choose between "Historical" (shows all past zones) or "Present" (shows only active zones) display modes.
Mitigated Extension: A specialized feature to extend recently broken zones, allowing for re-test analysis of formerly active liquidity.
Overlap Filter: Option to hide overlapping Order Blocks to maintain a clean, actionable chart.
🔹 Analytics Dashboard
The built-in dashboard provides a real-time performance suite:
OB Reliability: A percentage-based efficiency metric tracking how many detected zones have been successfully mitigated by price.
High-Prob Zone Count: A live counter of active HP-OBs currently remaining on the chart.
🔶 SETTINGS
🔹 Market Structure
Pivot Lookback: Defines the sensitivity of the market structure detection by adjusting the lookback period for pivots.
MSB Momentum Z-Score: Sets the statistical threshold for a price move to be considered a valid structural break.
🔹 Visuals
Display Mode: Toggles between showing historical mitigated zones or only currently active ones.
🔹 Order Blocks
Max Active OBs: Controls the maximum number of blocks stored and displayed on the chart.
Extend Broken OBs: If enabled, recently mitigated blocks will remain visible to observe potential re-tests.
Hide Overlapping OBs: Removes redundant zones that occupy the same price area as existing ones.
🔹 Sessions
Show Session Ranges: Global toggle for session visualizations.
Session Toggles: Individual controls to enable London, New York, Tokyo, or Sydney ranges with custom time and color inputs.
Institutional trading concepts and Smart Money Concept (SMC) indicators involve significant risk. This tool is designed for educational and analytical purposes. Past performance is not indicative of future results.
Trendanalyse
GCM Apex Predator AlgoTitle: GCM Apex Predator Algo
Overview
The GCM Apex Predator is a high-performance, multi-engine trading system designed for traders who demand precision and clarity. Whether you are a fast-paced scalper or a patient swing trader, this algorithm adapts to market conditions using a sophisticated "Apex Score" momentum engine combined with institutional-grade volume and trend filters.
Key Features
• Triple Engine Logic: Switch seamlessly between Scalper Mode (Fast), Trend Mode (Swing), or a Hybrid setup that captures both micro-moves and macro-trends.
• Apex Score Momentum: A proprietary loop-based engine that calculates the "persistence" of price action. It filters out "fake" moves by ensuring momentum is backed by structural strength.
• Institutional Filters: Includes built-in ADX Trend Power and Relative Volume filters to keep you out of "chop" and only in high-probability trades.
• Dynamic Risk Management: Automatically calculates and draws Entry, Stop Loss (SL), and Take Profit (TP) zones using ATR-based volatility, giving you a professional "desk" feel.
• Corporate Dashboard: A real-time HUD (Heads-Up Display) that monitors Trend Bias, ADX Power, Apex Momentum, and VWAP positioning at a glance.
How to Use
1. Select Your Mode: Use the "Scalper Mode" for lower timeframes (1m, 5m) or "Trend Mode" for higher timeframes (1h, 4h).
2. The "Sniper" Signal: Look for the Gold Circle symbols. These represent "Sniper" entries where all engines (Trend, Volume, and Apex) align for a high-conviction move.
3. Market Structure: Pay attention to the dashed reversal lines. These project potential structural shifts based on fast-reversal HMA logic.
Alerts
This indicator is fully optimized for Any alert() function call. You can set one single alert to receive detailed notifications like:
• 🎯 SNIPER LONG: BTCUSD @ 65000
• ⚡ SCALP BUY: EURUSD @ 1.0850
Disclaimer
Trading involves significant risk. This tool is for educational and technical analysis purposes. Past performance does not guarantee future results.
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.
ZenAlgo - GridOverview and anchoring logic
This indicator constructs a price grid based on a dynamically or manually defined price swing. The entire calculation starts by defining two anchor points that represent a completed directional move. These anchors can be selected in two ways:
Manually, by specifying a start time and an end time, where the indicator uses the candle corresponding to those times and selects either wick highs or lows depending on direction.
Automatically, by detecting significant swing points derived from recent price extremes over a configurable historical window.
The chosen anchors form a reference segment between point A and point B. This segment defines both direction and magnitude of the move. All subsequent levels and zones are derived relative to this segment, ensuring the grid adapts to current market structure rather than using fixed price distances.
Difference from traditional grid and Fibonacci tools
Unlike fixed price grids or standard Fibonacci tools that require manual anchoring and remain static once drawn, this indicator continuously derives its grid from the most relevant completed price swing. Instead of treating levels as independent horizontal prices, all values are expressed as proportions of a single measured move, allowing the grid to automatically rescale and realign as market structure evolves.
Market structure detection and directional context
Before the grid itself is drawn, the script continuously evaluates price structure using swing detection over two different sensitivities. Larger swings establish the dominant structural direction, while smaller swings can optionally be shown for internal context.
Swing highs and swing lows are detected by comparing historical highs and lows over a rolling window.
When price crosses above or below the most recent structural level, the script classifies the event as either a continuation in the same direction or a change in direction.
This structural state determines whether the grid is treated as upward or downward and influences the visual orientation of labels and zones.
This step matters because retracement and extension levels only have meaning when referenced to a clearly defined directional move.
Primary range construction between anchors
Once the anchor points are established, the indicator measures the vertical price distance between them. This distance is treated as a normalized range rather than an absolute value. Every level drawn afterward is positioned as a proportional offset of this range.
If the second anchor is above the first, the grid is considered bullish.
If the second anchor is below the first, the grid is considered bearish.
Colors and label orientation adapt automatically to this direction.
By normalizing the range, the grid remains comparable across assets and timeframes.
Retracement and extension level placement
The indicator plots a predefined set of proportional levels between and beyond the anchor points. Each level represents a fraction or multiple of the original move.
Lower values correspond to deeper retracements toward the origin of the move.
Mid-range values represent partial pullbacks within the move.
Higher values extend beyond the move, projecting potential continuation zones.
Each level is drawn as a horizontal line extending into future bars, accompanied by a label. Labels can be shown either as descriptive names or as raw proportional values, depending on user preference.
Zone construction instead of single levels
Rather than relying only on precise price lines, the indicator groups selected proportions into zones. This reflects the observation that price interaction typically occurs across ranges rather than at exact prices.
A retracement zone highlights an area between two closely spaced proportional levels.
A projection zone marks a continuation region beyond the measured move.
These zones are drawn as shaded areas extending forward in time.
Visual reference points
The indicator explicitly marks the two anchor points on the chart.
Point A represents the origin of the measured move.
Point B represents the completion of that move.
This allows the user to visually verify which price swing the grid is derived from.
How to interpret the values
All plotted levels express proportional relationships to the measured move, not independent price predictions.
Lower proportional values indicate proximity to the start of the move.
Mid-range values represent partial retracements.
Higher values indicate projected continuation areas.
How to best use this indicator
This indicator serves as a structural reference tool rather than a signal generator.
Apply it after a clear directional swing has formed.
Use higher-timeframe context to validate anchor selection.
Combine the grid with price behavior and other contextual tools.
Limitations and disclaimers
This indicator is purely proportional and structure-based.
It does not incorporate volume, volatility regimes, or fundamental data.
Automatic anchoring may differ from subjective swing selection.
Levels and zones represent reference areas, not guaranteed reaction points.
The indicator describes price structure and proportional relationships only.
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.
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.
Auto Parallel Channel [KTY] Auto Parallel Channel
Automatically detects and draws parallel channels based on ZigZag pivot structure. Supports multi-level channel detection, slope filtering, and channel extension after breakout.
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📊 Features
- Auto Channel Detection
- Automatically generates parallel channels by connecting swing highs and lows
- Bullish Channel (Green): Based on HL (Higher Low) pivots
- Bearish Channel (Red): Based on LH (Lower High) pivots
- Multi-Level Structure
- Major Channels: Large trend structure (solid lines)
- Minor Channels: Short-term swing structure (dashed/dotted lines)
- 8 channels total (Major/Minor × External/Internal × Bull/Bear)
- Midline
- Dotted line at the 50% level of each channel
- Serves as a mean reversion reference
- Slope Display
- Each channel label shows its slope (%)
- Positive (+) for ascending, Negative (-) for descending
- Slope Filter
- Option to display only channels above a minimum slope threshold
- Separate threshold settings for bullish and bearish channels
- Channel Extension
- Extends the channel by N bars after price breaks out
- Adjustable extension length (default: 30 bars)
- Alerts
- Bullish Channel Touch: Price touches bullish channel support
- Bearish Channel Touch: Price touches bearish channel resistance
- Bullish Channel Break: Price breaks below bullish channel
- Bearish Channel Break: Price breaks above bearish channel
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✅ How to Use
1. Channel bottom touch → Check for bounce
2. Channel top touch → Check for resistance
3. Channel break → Check for trend reversal or acceleration
4. Midline reaction → Check for mean reversion
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💡 Tips
- Major channels are more reliable than Minor channels
- Channel breakout with increasing volume = higher confidence
- Overlapping channels = stronger support/resistance zones
- Combine with FVG, Order Blocks, and liquidity sweeps for confluence
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📌 Notes
This indicator is open-source under the Mozilla Public License 2.0.
Created by Kim Thank You (김땡큐)
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⚠️ Disclaimer
This indicator is provided for educational purposes only.
It is not financial advice. Always trade at your own risk.
AI Smart Entry Pro v4 (AVINASH27)AI Smart Entry Pro v4 is a rule-based trading strategy designed to identify high-probability market entries using trend confirmation and momentum logic.
This strategy is intended for educational and back-testing purposes only.
It does not repaint and all signals are generated strictly on closed candles.
Key Features:
Works best in trending market conditions
Uses predefined logic for entry and exit
Suitable for intraday and scalping timeframes
Designed for consistent risk-controlled trading
No future data or repainting logic used
Recommended Usage:
Apply on liquid instruments (Forex, Indices, Gold, Crypto)
Combine with proper risk management
Always forward-test before live trading
⚠️ Disclaimer:
This strategy does not guarantee profits. Trading involves risk, and past performance is not indicative of future results. Use at your own discretion.
Trade Session Tracker [theUltimator5]Trade Session Tracker is a unique indicator designed to isolate each discrete trading session on the US stock exchanges and display a cumulative running price for each session so you can visualize how each session performs over long periods of time.
This indicator allows you to unlock a potentially unique and powerful trading strategy that exploits returns during lower liquidity periods through trend analysis. Certain stocks tend to move in the same direction during specific windows in the day, and now you can find them yourself.
This indicator only works properly on the daily timeframe. Other timeframes are not supported.
The sessions that this indicator supports are:
Intraday (Market open to market close)
After Hours (Market close until 20:00 eastern)
Overnight (20:00 eastern through 04:00 eastern the next day)
Pre-market (04:00 eastern through market open)
Close-to-open (market close to the following market open)
There are two plot modes:
Cumulative — chained returns since chart start (synthetic continuous price line)
Daily Change — single-session return (refreshes each new trading day)
!IMPORTANT!
This indicator only supports symbols that trade on the overnight markets through the BOATS ATS. This includes hundreds of ticker symbols, but the majority of smaller cap stocks or non-equity symbols are not supported.
Some symbols offer dividends, and the "ADJ" button at the bottom right corner of the chart must be disabled for the data to display properly, or else you will get extremely skewed results. Notorious symbols for this are SPY and AAPL.
How it works:
Standard chart data only calculates sessions through open, close, and previous close and cannot isolate out pre-market and after hours price action.
With the addition of overnight data, we now have a separate set of open and close values which can be pulled.
To calculate after hours price action, we use the opening price of the overnight venue divided by the close price earlier that day.
To calculate the pre-market price action, we divide the open price by the previous overnight close price.
Overnight price is simply calculated by overnight close divided by overnight open.
There is a table that can be toggled off and repositioned that shows the current settings.
Here is an example of close-to-open and intraday
Here is an example of overnight returns
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.
Poseidon [hide System]English Description
Poseidon Ultimate Fix is a sophisticated hybrid trading strategy designed to adapt seamlessly to changing market conditions. Its core strength lies in its ability to automatically distinguish between trending and ranging markets using the Hybrid Logic Engine, which relies on the Average Directional Index (ADX). When the market shows strong directional momentum (ADX > 25), the system activates Trend Mode. In this phase, it utilizes a Supertrend-based logic to follow the market flow, entering trades on breakouts and holding positions until the trend reverses, thereby maximizing profit potential during volatile periods.
Conversely, when volatility is low and the market lacks clear direction (ADX ≤ 25), the system switches to Range Mode. Here, it employs Bollinger Bands to execute mean reversion strategies, buying at the lower band and selling at the upper band to capture smaller, consistent gains within the consolidation. A critical safety feature of this system is its Emergency Escape protocol. If a sudden surge in volatility occurs while a range position is open—threatening a breakout against the trade—the system immediately liquidates the position and switches to a trend-following entry. This mechanism effectively neutralizes the risk of catastrophic losses often associated with reversal strategies during market explosions. Furthermore, the Precise Accounting feature ensures that the dashboard metrics, including Profit Factor and Win Rate, are calculated based on real-time equity changes, providing an accurate reflection of the system's performance without mathematical discrepancies.
日本語による説明
Poseidon Ultimate Fix は、刻々と変化する相場環境に完全適応するために設計された、高度なハイブリッド型トレードシステムです。このシステムの最大の特徴は、ADX（平均方向性指数）を用いたハイブリッド・ロジック・エンジンにあります。これにより、相場が「トレンド状態」にあるか「レンジ状態」にあるかを自動的かつ正確に判別します。強い方向感が出ている局面（ADXが25以上）では、システムは即座にトレンドモードを選択します。ここではスーパートレンド指標に基づいた順張りロジックが作動し、トレンドの発生に合わせてエントリーを行い、相場が反転するその瞬間までポジションを保有し続けることで、利益の最大化を狙います。
一方で、相場の方向感が失われ、ボラティリティが低下した局面（ADXが25以下）では、システムはレンジモードへと切り替わります。このモードではボリンジャーバンドを活用した逆張り戦略を展開し、バンドの下限で買い、上限で売ることで、ボックス相場の中から着実に利益を積み上げます。さらに、このシステムには**緊急脱出機能（エマージェンシー・エスケープ）**という重要な安全装置が搭載されています。もしレンジ逆張りポジションを保有中に突発的な暴騰や暴落が発生した場合、システムは即座に損切りを行い、間髪入れずにトレンド方向への順張りエントリーに切り替えます。これにより、レンジ手法特有の「コツコツ勝ってドカンと負ける」リスクを排除します。加えて、完全な会計処理機能により、ダッシュボード上の勝率やプロフィットファクターは実際の口座残高の増減と1円の狂いもなく一致し、極めて信頼性の高いパフォーマンス分析を提供します。
RLPS -Simplified Long-Term Support/Resistance Levels (Shelters)// Introduction //
RLPS (Simplified Long-Term Shelters) is a streamlined indicator designed for traders who have already identified the preponderant long-term phase of their assets and want to efficiently track multiple assets using pre-calculated Fibonacci levels.
IMPORTANT: Before using this indicator, you need to have determined the date-price coordinates of the preponderant phase (i0→i1 pivots) for your asset(s). These coordinates can be obtained using our master RLP indicator (Long-Term Shelters), which automatically helps to calculates them, or through your own research and analysis.
// Theoretical Foundation //
Many traditional institutional investors use the latest higher-degree market phase that stands out from others (longest duration and greatest price change on daily timeframe) to base a Fibonacci retracement on whose levels they open long-term positions. These positions can remain open to be activated in the future even years in advance. The phase is considered valid until a new, more preponderant phase develops over time.
RLPS allows you to manually input these pre-identified phase coordinates and draw Fibonacci levels that serve as Long-Term Shelter Levels—marking future trading points (entries, exits, risk management) that remain valid for months and even years.
// Key Features //
• Supports up to 5 different assets with permanently stored phase coordinates
• Dropdown selector to quickly switch between configured assets
• No ZigZag calculation required—user provides pre-calculated coordinates
• Timeframe-agnostic: levels remain constant across all timeframes
• Works with any price source (exchange) regardless of historical data availability
• Asset Information table with visual validation (✅ Match / ❌ No Match)
• Long-Term Historical Prices (LTHP): add up to 5 psychological price levels per asset (historical highs/lows, annual opening prices, etc.)
• Customizable Fibonacci levels, colors, styles, and label formatting
• Logarithmic scale support for volatile assets like cryptocurrencies
// Quick Start Guide //
STEP 1: In TradingView, select "Bitcoin / U.S. dollar" from Bitstamp Exchange (BITSTAMP:BTCUSD).
STEP 2: Configure the chart to Daily (D) timeframe.
STEP 3: Load the RLPS indicator. Initially no drawing appears (fields are empty by default).
STEP 4: Open indicator settings and activate "Practice Asset Data Table" in the GENERAL section.
STEP 5: A table appears with sample data for 5 assets. Locate "Bitcoin on Bitstamp":
- i0 Date: 2020-03-13 18:00 | i0 Price: 3850.0
- i1 Date: 2021-11-10 18:00 | i1 Price: 69000.0
STEP 6: Copy this data to "ASSET 1 - IDENTIFICATION AND DATE-PRICE PIVOT COORDINATES".
STEP 7: Verify "Asset 1" is selected in the dropdown and close settings.
STEP 8: You should now see the yellow diagonal phase line, horizontal Fibonacci levels, and the validation table showing "✅ Match".
STEP 9: Navigate the chart to verify how Fibonacci levels align with historical support/resistance zones.
// Important Notes //
• The sample data in the Practice Table was validated in 02/2026 and serves as reference only.
• It is your responsibility to validate or update the preponderant phase of your assets over time.
• Use our master RLP indicator to automatically find and calculate preponderant phases, then transfer the coordinates here for permanent tracking.
• You can deactivate the Practice Table once you've copied the data you need.
// Shelter Indicators Ecosystem //
RLPS is part of a comprehensive ecosystem of indicators for price action analysis based on shelter levels:
RLPS (Simplified Long-Term Shelters): This indicator. Simplified version of RLP that allows manual input of previously identified preponderant phase coordinates. Ideal for permanent operations with multiple assets across different timeframes.
RLP (Long-Term Shelters): Automatically identifies the preponderant Zigzag phase that institutional investors use as a reference to project Fibonacci levels. These levels determine order placement over the following months and years.
RMP (Mid-Term Shelters): Provides the psychological shelter and resistance levels that institutional investors establish at the beginning of each year. These form the main framework that professionals use to plan entry and exit operations throughout the year.
RS (Weekly Shelters): Tactical structural analysis indicator designed to precisely track price action and manage positions during current weeks.
RID (Intra-Day Shelters): For intraday operations based on levels calculated from the daily opening price. Designed for 1H timeframes or lower, including scalping strategies.
By combining RLPS, RLP, RMP, RS, and RID, you obtain a multi-timeframe framework that provides certainty and clarity to apply strategies grounded in price action, across any time horizon: from scalping to long-term investments.
// Final Notes //
We sincerely regret to inform you that we have not included the Spanish translation previously provided in our indicators, due to our significant concern regarding the ambiguous rules on publication bans related to indicators.
Sharing motivates. Happy hunting in this great jungle!
Daily 50 per cent (High Low Dinamic)📊 Daily 50% Mid – Dynamic High/Low
🔎 Description
The Daily 50% Mid is a clean and objective indicator that plots the daily equilibrium level, calculated as 50% of the distance between the daily high and daily low.
Unlike static levels, this indicator is fully dynamic: as new daily highs or lows are formed, the 50% level is recalculated in real time throughout the trading session.
⚙️ How it works
Automatically detects:
📈 Daily High
📉 Daily Low
Calculates the daily midpoint:
(
𝐷
𝑎
𝑖
𝑙
𝑦
𝐻
𝑖
𝑔
ℎ
+
𝐷
𝑎
𝑖
𝑙
𝑦
𝐿
𝑜
𝑤
)
/
2
(Daily High+Daily Low)/2
Continuously updates the levels while the trading day is in progress.
📐 What the indicator plots
🔴 Daily High line
🟢 Daily Low line
🟡 50% of the Daily Range (Daily Mid) line
🎯 Trading applications
The 50% daily midpoint is widely used as:
A daily balance / equilibrium zone
A pullback level in trending days
A rejection area in range-bound markets
A confluence level with:
VWAP
Daily open
Volume Profile
Price structure
⏱️ Recommended timeframes
Designed for intraday charts
(1m, 5m, 15m, etc.)
Ideal for day trading
Not recommended for daily charts
🧠 Notes
Works on any asset (indices, stocks, forex, crypto)
Automatically resets at the start of each trading day
No future repainting
Bookmap-ish Volume Diagram Aggregated Delta + Level Flags [v5.3]What this gives you
✅ True volume-diagram pane (no chart overlay)
✅ Buy vs Sell columns (aggression visualization)
✅ Net delta bars
✅ Pressure oscillator + signal
✅ CVD
✅ Bookmap-style “pressure at levels” flags
(upper = supply, lower = demand, VWAP = acceptance)
Combined Advanced Blueprint + Hybrid Stop + GravityCombined Advanced Blueprint + Hybrid Stop + Gravity
Overview
This indicator is a comprehensive "Swiss Army Knife" trading system that combines the classic Traders Reality Blueprint (Moving Averages & Vector Zones) with advanced institutional volume detection (Gravity Squeeze & Sharks) and a Hybrid Trailing Stop for trade management.
It is designed to identify institutional footprints, trend direction, supply/demand zones, and volatility contractions in a single, all-in-one overlay.
🚀 Key Features
1. Gravity Squeeze & Shark Detection (Institutional Volume)
This module detects anomalies in volume and price action to identify where "Smart Money" is stepping in.
Shark Icons (🦈): Appear when the Negative Volume Index (NVI) detects significant accumulation during low volatility periods. This often signals a "defense" of a price level by institutions.
Shark Support (Blood) Zones: When a Shark is detected, a red box is drawn from the low of the candle. This represents an institutional "line in the sand." If price closes below this box, the zone is invalidated (broken).
Gravity Squeeze (⚡): Indicates a contraction in volatility (ATR compression), suggesting an explosive move is imminent.
Coils (🌀) & Hammers (🔨): Identifies specific price action patterns occurring on high relative volume.
2. The Blueprint Moving Averages
Includes the standard Traders Reality moving average sequence to identify trend state and dynamic support/resistance.
Red (8 EMA): Immediate trend.
White (21 EMA): Short-term trend (The "Baseline").
Blue (34 EMA): Trend confirmation.
Indigo (55 EMA) & Purple (89 EMA): Mid-term trend.
Orange (50 SMA) & Dark Orange (200 SMA): Major institutional levels (Golden/Death Cross).
Visual Crossovers: Arrows and shapes appear for 8/21 crosses, 8/34 crosses, and the 50/200 cross.
3. PVSRA (Price Volume Support Resistance Analysis)
Colors trade bars based on volume relative to the average, highlighting hidden liquidity.
Green/Red Bars: Volume is ≥ 200% of the average. (Climax action).
Blue/Violet Bars: Volume is ≥ 150% of the average.
Grey Bars: Average/Low volume.
Vector Zones: Automatically plots zones based on these high-volume candles to show where significant business was transacted.
4. Hybrid Trailing Stop
A volatility-based stop-loss system designed to keep you in the trend longer.
Calculation: Uses a combination of ATR (Average True Range) and manually input Implied Volatility (IV) to calculate a safe distance from price.
Visual: A Fuchsia line that trails behind price. When price closes across this line, the trend structure is considered broken.
5. Inflection Zones (Supply & Demand)
Auto-Drawing: Identifies Swing Highs and Swing Lows to draw Supply (Blue) and Demand (Red) boxes.
BOS (Break of Structure): When price breaks through a zone, the box is removed or converted, helping keep the chart clean.
6. Pivot Points & VWAP
Pivots: Displays multitimeframe pivots (Daily, Weekly, Monthly, etc.) including Traditional, Fibonacci, and Camarilla calculations.
VWAP: Includes Standard Deviation bands (1, 2, and 3 SD) anchored to Session, Week, Month, or even Earnings/Splits.
7. Keltner Channels & RSI Triggers
Entry Signals: Plots circles on the chart when RSI enters extreme zones (Overbought/Oversold) while price is interacting with the Keltner Channel bands.
🛠 Settings & Configuration
Gravity Squeeze & Sharks
Enable: Toggle the overlay on/off.
Min Volume: Set the threshold for volume analysis (Default: 300k).
Max ADX: Filters out signals if the trend is already too exhausted.
Inflection Zones
Swing Length: Sensitivity of the swing high/low detection.
History to Keep: How many historic zones to display before deleting old ones.
Pivot Levels
Timeframe: Auto-selects based on your chart, or force specific timeframes (e.g., Daily Pivots on a 15m chart).
Type: Choose between Traditional, Fibonacci, Woodie, etc.
Trailing Stop
Multiplier: Adjust how "loose" or "tight" the stop is (Default: 1.5 ATR).
IV %: Manually input the annual Implied Volatility for the asset for higher precision.
🎯 How to Trade (Strategy Ideas)
1. The Shark Defense:
Look for a Shark Icon (🦈).
Watch the red "Blood" box form.
Long Entry: If price retests the box and holds (does not close below it), this is a high-probability buy zone.
Stop Loss: A candle close below the red box.
2. The 8/21 & 8/34 Cross:
Use the Arrows generated by the moving averages.
Combine with Vector Candles: If you get a Bullish Cross (Up Arrow) immediately following a Green/Blue vector candle, the move is supported by volume.
3. The Squeeze Breakout:
Look for the Squeeze Icon (⚡) indicating low volatility.
Wait for the Hybrid Trailing Stop line to flip (e.g., price crosses above the Fuchsia line) to confirm the breakout direction.
Alerts
The script includes built-in alert conditions for automation:
8/21 Bullish/Bearish Cross
8/34 Bullish/Bearish Cross
Credits:
Core logic based on Traders Reality (Blueprint/PVSRA).
Gravity logic adapted from standard institutional volume analysis.
Compiled & Enhanced by Gemini.
[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.
Adaptive Trend Checklist (EMA + Supertrend + ADX)Adaptive Trend Checklist is a market context and validation tool designed for discretionary traders who prioritize structure, risk control, and trade quality over aggressive signal chasing.
The script combines EMA, Supertrend, and ADX, with optional multi-timeframe (HTF) confirmation, to provide a clear view of market conditions before entering a trade.
This is not a signal-spamming indicator.
It is a visual checklist that helps identify when to trade, when to reduce risk, and when to stay out of the market.
🔹 Key Features
🔁 Automatic timeframe adaptation
Parameters (EMA, ATR, ADX, Supertrend) automatically adjust based on the current chart timeframe.
🧠 Trend & range filtering
Uses ADX and price structure to filter out ranging and low-probability market conditions.
⏱️ Multi-timeframe market context (optional)
Confirms directional bias using higher timeframes.
🧮 Risk classification
Trades are classified as:
NORMAL
REDUCED
NO TRADE
📋 Clear visual checklist
Displays in real time:
trading mode,
trend status,
ADX condition,
market session,
recommended risk level.
🎯 Integrated trade management
Automatically plots:
Entry
Stop Loss
Take Profits (TP1, TP2, TP3)
Position size in dollars based on selected risk.
🚫 No repaint
🚫 No signal spam
🚫 No win-rate promises
⚠️ Important Notice
This script is not intended for fully mechanical or automated trading.
It is designed as a decision-support tool for traders who understand market structure, context, and risk management.
Performance depends on:
market conditions,
timeframe,
and trader discipline.
👤 Who Is This For?
✔️ Discretionary traders
✔️ Scalpers & intraday traders seeking better filters
✔️ Swing traders needing HTF context
❌ Not recommended for blind signal following
📎 Usage Recommendation
Use it as a primary market filter, not as a standalone signal.
Combine it with your own entry criteria.
TPC-Buying and Selling areasTPC - Buying and Selling Areas
Open-source multi-timeframe indicator that automatically detects and displays Supply (resistance) and Demand (support) zones based on swing structure, along with Fair Value Gaps (FVGs) for imbalance visualization. Supports up to two higher timeframes (MTF) for Supply/Demand + optional current-chart or custom timeframe FVGs, with mitigation tracking, alerts, and a dashboard for FVG stats.
Overview
This tool helps identify key price areas where institutional buying/selling pressure may have accumulated (Supply/Demand zones) and inefficiencies/imbalances in price delivery (Fair Value Gaps).
It plots:
•Demand zones (potential support/buy areas) in green tones
•Supply zones (potential resistance/sell areas) in red tones
•Bullish/Bearish FVGs as filled or line areas (with dynamic or fixed extension options)
•A simple FVG dashboard showing count and mitigation percentage
Zones mitigate (disappear or mark as filled) when price closes/wicks through them. Designed for clean charts with configurable visibility, box pooling, and alerts on new zones or FVG events.
How It Works (Conceptual)
•Supply & Demand Zones
•Uses pivot-based swing highs/lows from one or two user-selectable higher timeframes (or chart timeframe).
•Detects structure breaks (e.g., higher highs/lows, lower highs/lows) near recent ATR range to form zones.
•Zones drawn as extendable boxes with timeframe label, customizable borders/text.
•Mitigation: Zones removed or marked when price breaches them (close or extreme/wick, configurable globally or per TF).
•Only shows recent zones (user-defined "show last N") and cleans up on lower timeframes if desired.
•Fair Value Gaps (FVGs)
•Detects 3-candle imbalances where price gaps aggressively (low > high for bullish, high < low for bearish, with optional size threshold).
•Plots as semi-transparent boxes (fixed extend) or dynamic fills that adjust with price.
•Tracks mitigation (when price fills the gap) and optionally draws dashed mitigation lines.
•Shows unmitigated recent FVGs as lines + dashboard stats (total count, % mitigated for bull/bear).
•Multi-timeframe logic uses request.security() for higher TFs, with careful handling for display on lower charts.
See the code for full pivot detection, array management, mitigation loops, and FVG conditions.
How to Use
•Best on volatile/liquid markets (crypto, forex, indices, futures) across intraday to daily timeframes.
•Use Demand zones (green) as potential long entries or support flips when price approaches from above.
•Use Supply zones (red) as potential short entries or resistance when price approaches from below.
•FVGs highlight inefficiencies: bullish FVGs often act as magnets/pullbacks in uptrends; bearish in downtrends.
•Combine with higher-timeframe bias (e.g., show HTF zones on LTF chart) for confluence.
•Alerts fire on: new demand/supply zone, new bullish/bearish FVG, or FVG mitigation.
•Keep "Show only on lower timeframes" enabled to avoid clutter on HTF charts.
•Adjust "Box Size" (pool) if you hit max_boxes limit on very long histories.
Settings
General Settings
•Hide all Demand / Supply zones
•Show S&D only on lower TFs
•S&D Box Size (pool limit, default 80)
•Mitigate on Close or Wick/Extreme
Timeframe 1 & Timeframe 2 (identical groups)
•Set to chart timeframe (or custom)
•Show Demand/Supply
•Alerts for new zones
•Timeframe multiplier + period (Min/Hour/Day/Week/Month)
•Swing Length for pivots
•Border type/width, text size/color
•Demand/Supply colors
•Show last N zones per type
FVG Settings
•Threshold % (min gap size) or Auto
•Unmitigated levels to show
•Mitigation levels (dashed lines)
•FVG Timeframe (blank = chart)
FVG Style
•Extend bars
•Dynamic fill (adjusts with price)
•Bullish/Bearish colors
FVG Dashboard
•Show dashboard
•Location (Top Right etc.)
•Text size
Notes / Limitations
•Non-repainting after bar close (uses confirmed pivots/security data).
•Heavy on boxes/lines — increase pool size carefully (TradingView limits apply).
•FVGs can fill quickly in ranging markets; use with structure/context.
•Always backtest and combine with your analysis — not financial advice, trading carries risk.
•Open-source: feel free to fork, improve, or learn from it.
Sequential - Heatmap [R2D2]The Professional Edge in Trend Exhaustion
In a market environment saturated with noise, the most valuable tool for a trader is clarity. Standard trend-following indicators often lag, and traditional reversal markers can be premature. The Sequential: Heatmap is a sophisticated trend-exhaustion indicator designed to identify precise market inflection points where a trend has reached its mathematical limit.
By focusing on the Exhaustion Phase (counts 7, 8, and 9) and integrating Perfection Logic, this tool filters out "weak" setups, highlighting only the high-probability price flips that professional institutional traders watch.
How It Works: The Logic of Exhaustion
The Sequential operates on the principle of price symmetry. A "Setup" occurs when a series of at least nine consecutive bars close higher (for a Sell Setup) or lower (for a Buy Setup) than the close of the bar four periods prior.
The "Perfected" Difference
A standard 9-count is often not enough for a high-conviction entry. This publication-ready script includes Perfection Logic:
Perfected Buy (9★) : The low of bar 8 or 9 must be lower than the lows of both bars 6 and 7.
Perfected Sell (9★) : The high of bar 8 or 9 must be higher than the highs of both bars 6 and 7.
This ensures that the final move in the sequence is a true "climax" before the reversal begins.
Step-by-Step Usage Guide
Step 1: Monitor the Heatmap
As a trend develops, the bars will remain standard. Once the sequence hits count 7, the Heatmap Gradient activates.
Faint Color: Momentum is beginning to stretch.
Deep Saturated Color: The trend is entering the danger zone for a reversal.
Step 2: Identify the 9★ Completion
Wait for the number 9 to appear. If a star (★) is attached, the setup is "Perfected". This is your primary signal that the current move is mathematically overextended.
Step 3: Define Your Risk with Risk Lines
Upon completion of a 9-count, the script draws a solid thin horizontal line:
Green Line (Resistance) : The ceiling of the move. Use this as a profit target for longs or a hard stop for shorts.
Red Line (Support) : The floor of the move. Use this as a profit target for shorts or a hard stop for longs.
Trading Like a Pro: Strategies for Success
To use this tool effectively at a professional level, follow these three core tenets:
Don’t Front-Run the 9 : Amateur traders often try to "guess" the reversal at count 5 or 6. Professionals wait for the Perfected 9 to close. The heatmap is designed to keep you patient.
The "Risk Line" Breaker : If price closes beyond a Risk Line (e.g., closes above the green resistance line), the exhaustion has failed, and a "Setup Trend Extension" is occurring. In this case, exit your reversal trade immediately; the trend is stronger than the exhaustion.
Confluence with Higher Timeframes : A Perfected 9 on a 15-minute chart is strong; a Perfected 9 on a 15-minute chart that aligns with a 4-hour Risk Line is institutional grade.
SMT Detector PRO [UFVG]The best currently available SMT indicator.
Main advantage that it scans multiple pivot lengths at once so it doesn't miss any smt.
It initially shows SMT with grey color which means that pivot is still unconfirmed.
Unconfirmed SMTs can disappear if price invalidates them.
Adaptive RSIAdaptive RSI
Adaptive RSI is an enhanced version of the classic Relative Strength Index designed to automatically adjust its behavior to changing market conditions. The indicator can operate both as a mean-reversion oscillator and as a trend-following momentum tool, allowing traders to detect high/low value zones while also capturing directional moves.
Unlike the traditional RSI, which uses a fixed smoothing method, Adaptive RSI dynamically changes its calculation speed depending on market activity. This helps reduce false signals in slow or choppy markets while allowing faster responses during strong moves.
🔍 Concept & Idea
The goal behind Adaptive RSI is to make RSI responsive when opportunities appear and more conservative during uncertain or low-activity environments.
By automatically adjusting its internal smoothing and reaction speed, the indicator attempts to balance:
• Early entries during strong market moves
• Reduced noise during consolidation
• Mean-reversion opportunities in ranging markets
• Momentum confirmation in trending markets
This adaptive behavior makes the oscillator more versatile across multiple market conditions.
⚙️ How It Works
The indicator evaluates market activity using three drivers:
• True Range (volatility)
• Volume activity
• Rate of price change
Users can define which of these factors has priority. The script then checks up to three conditions; the more conditions that are satisfied, the faster and more responsive the RSI calculation becomes.
This creates multiple internal speed tiers ranging from smooth and conservative to highly responsive.
After the adaptive RSI is calculated, an additional adaptive smoothing layer is applied using the same logic, improving signal clarity while preserving responsiveness.
An optional feature allows the RSI to use a special Rate-of-Change weighted price source. This feature is more advanced and mainly intended for users who understand how weighted price construction affects oscillators.
A divergence measure between the base RSI and the smoothed Adaptive RSI is also plotted to help visualize shifts in momentum strength.
⚙️ Key Features
• Adaptive RSI calculation speed
• Works for both trend-following and mean-reversion approaches
• Adjustable long and short signal thresholds
• Overbought and oversold zone highlighting
• Divergence histogram between RSI and adaptive smoothing
• Trend-based coloring and visual signal markers
• Optional ROC-weighted source for advanced users
🧩 Inputs Overview
• RSI calculation length and smoothing length
• Price source selection or optional special weighted source
• Speed tier selection (slow, medium, fast behavior)
• Activity priority order (volatility, volume, momentum)
• Long/short and overbought/oversold thresholds
📌 Usage Notes
• Can be used both for trend continuation and mean-reversion strategies.
• Adaptive logic helps reduce noise during sideways markets.
• Strong moves may cause faster RSI transitions due to adaptive speed selection.
• Signals may update intrabar on lower timeframes.
• Works best when combined with risk management and confirmation tools.
• No indicator is perfect; always test before live use.
This script is intended for analytical purposes only and does not provide financial advice.
MIZAN v9.2: Volumetric Chaos ShieldTitle: MIZAN v9.2: Volumetric Chaos Shield (VCS)
Description:
MIZAN-VCS is an advanced trend-following system developed by Mizan Lab. It is designed to filter out market noise and identify high-probability entries powered by volume and momentum. It combines a dynamic "Path" algorithm with a Choppiness Index and Volume confirmation to keep traders out of dangerous ranging markets.
Key Features:
The Path (Dynamic Support/Resistance): Instead of standard moving averages, MIZAN uses a density-based path algorithm to find the true center of the price action.
Cyan Line: Bullish Trend
Orange Line: Bearish Trend
Volumetric Chaos Shield (VCS):
The indicator automatically detects "Choppy/Ranging" markets using the Choppiness Index.
When the market is choppy, the main trend line turns Gray and Thin, signaling "DO NOT TRADE".
Signals are suppressed during high chaos to prevent whipsaws.
Volume Confirmation:
A breakout is only valid if there is sufficient volume backing it. Weak moves are ignored.
OCC & L-Score Integration:
Uses a proprietary blend of RSI, CCI, and Volume to validate the "Reality" of a price move.
Built-in Trailing Stop:
Automatically plots a trailing stop line (Green/Red) to help you manage risk and lock in profits.
How to Use:
BUY Signal: When the line is Cyan (thick), Volume is Strong, and a "VOL BUY" label appears.
SELL Signal: When the line is Orange (thick), Volume is Strong, and a "VOL SELL" label appears.
WAIT: When the line is Gray (thin) and the Dashboard says "CHOP (WAIT)".
Dashboard: The bottom-right panel provides real-time status on Market Mode (Trend vs. Chop), Volume Strength, and developer credits.
Disclaimer: This tool is for educational purposes only. Always use proper risk management.
© Developed by Mizan Lab
Impulse Trend ArrowsThis indicator is a volatility-normalized momentum + trend state tool designed to provide a clean “market regime” read: UP / DOWN / NEUTRAL, with optional visual confirmation on the chart. Works on collection of clasic indicators and some simple math.
⚙️ How it works (logic)
1) Adaptive baseline
The core reference line is an EMA(basisLen) acting as a dynamic equilibrium price. You can treat this setting as a sensitivity for entire thing.
2) ATR volatility envelope
An ATR channel is built around the baseline:
Upper Band = EMA + (ATR × multiplier)
Lower Band = EMA − (ATR × multiplier)
This scales signals to current volatility (tight markets vs. fast markets).
3) “Impulse” detection
Bull impulse when price is above both the baseline and the upper ATR band.
Bear impulse when price is below both the baseline and the lower ATR band.
4) Momentum confirmation (filters)
Signals are confirmed only when momentum agrees:
RSI must be on the correct side of 50
MACD Histogram must match direction (positive for bullish / negative for bearish)
So a signal requires price expansion (ATR breakout) + momentum agreement (RSI + MACD).
🧭 Trend state behavior
When a new BUY/SELL impulse is confirmed, the script updates a persistent trend state (“BUY”, “SELL”, or “NONE”).
That state stays active until the opposite confirmed impulse appears.
✅ Visuals & Usage
Made some minor, mostly visual upgrades on this release:
Baseline + ATR bands are smoothed for cleaner visuals.
Optional BUY/SELL arrows are plotted outside the channel to avoid overlap with channel.
Optional full-chart background shading reflects the current trend state:
Green = UPTREND
Red = DOWNTREND
A minimal top panel shows the current regime (UP / DOWN / NEUTRAL).
I also recently added this channel smoother parameter (for Dragon Channel), if you want it to have less spikes on those MAs just use the bigger number, I picked 8 for default.
Actualy its as simple as just follow the arrows direction, given the correct settings with slightly higher basisLen on higher TFs you can get prety accurate long shots. Ofcourse you can still can get random signals or noise on lower TFs, so it can be used as a background trend/momentum confirmation layer alongside your other favorite indicators or strategy tools.
