Indicateurs et stratégies
Macro by TURTLE TVICT Macro Time Windows Indicator
This indicator automatically highlights the 5 key ICT (Inner Circle Trader) macro periods where institutional algorithmic activity is highest. Perfect for traders using Smart Money Concepts and ICT methodology.
Features:
Visual background shading during active macro windows
Clear labels marking the start of each macro period
Toggle each macro window on/off individually
Customizable colors for backgrounds and text
Multi-timezone support (NY, London, Tokyo, UTC)
Small indicator dots at chart top for quick reference
The 5 Macro Windows (New York Time):
02:33-03:00 - Asian Session Macro
08:50-09:10 - London Open Macro
09:50-10:10 - London Macro
10:50-11:10 - New York AM Macro
14:50-15:10 - New York PM Macro
How to Use:
Add indicator to your chart
Adjust timezone in settings to match your preference
Enable/disable specific macro windows as needed
Customize colors to match your chart theme
These macro periods typically see increased volatility and liquidity sweeps, making them prime times for price reversals and manipulation moves. Use alongside your ICT strategy for optimal timing.
IMB Scanner (15M+) by TradeWithForbesIMB Session Scanner (15M+) built for session-based imbalance detection.
Scans 15M, 1H, 4H, D1 and W1 ICT-style 3-candle Imbalances (IMB) only during Tokyo, London and New York sessions.
Alerts:
- IMB Mitigated (Tapped at Open)
Designed for clean institutional execution and reduced chart lag.
345min Cycles Riyadh Session BOXThe idea is to divide the session into four periods and draw levels above the level for a buy market and below it for a sell market.
Raigur Trader Pattern Identification and Micros CalculationIt identifies 3 candle stick patterns as per pre defined conditions and mark them with arrows.
Then it calculates the number of micros to be traded as per the instrument category selected from the list available.
It marks hammer and Inverted hammer with label A; and Bullish Bearish Engulfing & Harami with label B.
It is designed only for DJI, SPX and NDQ.
iQPRO iQProfile22iQPRO iQProfile22: Advanced Geometry & Frequency Engine
iQPRO iQProfile22 is a high-performance confluence engine designed to identify institutional liquidity nodes and statistical outliers. By synthesizing Linear Regression (probability), Volume Profiles (activity), and Frequency Analysis (cyclicality), this indicator visualizes precisely where price is statistically likely to revert (Mean Reversion) or break out (Momentum).
Moving beyond isolated metrics, iQProfile22 actively scans for "Interaction Nodes"—specific price levels where heavy volume accumulation coincides perfectly with statistical deviation bands.
Released as an Invite-Only script, this tool protects its proprietary calculation methods while providing a curated edge for Premium Community Access Traders.
Proprietary Architecture & Uniqueness
Unequivocal Originality: iQProfile22 is not a "reskin" of open-source code or standard library functions. It is built entirely on a Proprietary Multi-Core Base developed from scratch.
Custom Math Engine: Instead of relying on basic TradingView built-ins, we manually calculate Linear Algebra components (slope, intercept, and variance) and Digital Signal Processing logic.
Zero-Lag Performance: By owning the entire calculation stack, we eliminate the latency and structural limitations found in retail-grade tools. This ensures a responsive, non-lagging volatility envelope that adapts dynamically to price action.
Core Innovation: The Triple-Layer Synthesis
The engine operates on a synergistic system where Trend, Timing, and Liquidity converge:
Dynamic Linear Regression (Probability): Anchors automatically based on user-defined lookbacks (Fixed, Highest High, or Lowest Low). It calculates a "Best Fit" mean and projects dynamic Standard Deviation (SD) bands to define overbought/oversold extremes.
Integrated Volume Profile (Liquidity): Renders a custom Volume Profile at the current bar, highlighting the Point of Control (POC) and Value Area (VA) to distinguish between Buy/Sell volume pressure.
Signal Processing (Frequency): Utilizes a Digital Signal Processing (DSP) algorithm to filter price noise and extract the dominant market cycle. It projects "Frequency Bands" that act as dynamic support/resistance, often providing signals faster than standard averages.
Key Technical Features: Smart Node Detection
The system's primary output is the identification of Interaction Nodes. These are the Primary Focal Point signals where a Volume Node makes its proprietary interaction.
Interaction Nodes (Automated Markers): These markers indicate critical variance boundaries and levels for entries, exits, and focal points. They represent zones of high friction and high probability for reaction.
Frequency Bands: Dynamic bands that expand and contract with the DSP cycle, offering real-time visualization of market "breathing" (Expansion vs. Compression).
Volume Nodes: High-volume price levels identified from the profile, acting as magnetic zones for price action.
Operational Guide
1. Trend & Structure
Trend Definition: Use the Regression Base Line to determine the immediate trend direction.
Reversals: Look for price exhaustion at the outer SD Bands (e.g., 3-5 Sigma).
2. Entries & Exits
Focal Points: Target the Interaction Nodes (Automated Markers). These are statistically significant barriers where price is likely to pause or reverse.
Momentum Shifts: Watch for crossovers on the Frequency Bands to identify short-term momentum shifts before they are visible on price alone.
Access & Intellectual Property
Invite-Only Access: This script is available exclusively to verified users of Premium MarketMakeriQ Access. It is released as an invite-only tool to ensure controlled distribution and protect the proprietary logic meant for our community.
Security: Access is granted strictly for personal use within the community. Attempting to reverse-engineer the script, decompile the code, or share the underlying logic will result in the immediate and permanent revocation of access to all MarketMakeriQ tools.
How to Join: Please refer to the Author's Instructions below to verify your membership and request authorization.
Disclaimer: For educational and analytical purposes only. Trading involves significant risk. Past performance is not indicative of future results. No financial advice is provided.
Copyright: © 2026 MarketMakeriQ(MarketMakerlQ) | iQ Alchemy. All rights reserved. Logic protected under MPL 2.0 where applicable.
Profile volume deviationThis indicator calculates the width of the 70% Value Area of a moving volume profile over a defined number of candles.
It begins by identifying the highest and lowest points of the period under review, then divides this price range into several segments. For each candle, the volume is added to the segment corresponding to the closing price, which allows a volume profile to be constructed.
Once the total volume is known, the indicator identifies the most traded segment, called the Point of Control. From this central point, it gradually widens the area upwards and downwards by adding the most voluminous adjacent segments until it covers 70% of the total volume: this is the Value Area.
The lower and upper limits of this area are then converted into prices, and their difference gives the width of the Value Area. This width can be displayed directly as a price value or as a percentage of the current price.
The indicator is mainly used to assess the state of the market: a narrow Value Area suggests a phase of compression or range, while a wide Value Area indicates a period of expansion and strong activity.
System Core B Monthly Value + Weekly RegimeWhat this indicator does
This indicator builds a weekly “regime engine” around a manual monthly value area and then summarizes everything in a small on-chart dashboard.
It answers four questions:
Are we inside monthly value, near an edge, or trading outside it?
Is the weekly action rotating, compressing, or escaping away from value?
How has price moved inside the weekly range vs two weeks ago (up / down / flat)?
Are weekly range and volume “normal”, tight, or quiet relative to recent history?
You provide the monthly VAH / VAL once, and the script monitors how weekly bars behave around that zone.
Core logic
Monthly value area
You manually enter Monthly VAH (upper) and Monthly VAL (lower).
The script checks whether each weekly close is:
Outside above VAH
Outside below VAL
Inside but near VAH
Inside but near VAL
Inside and away from edges
A small “Location” label reports this as:
Outside Above VAH
Outside Below VAL
Inside (Near VAH)
Inside (Near VAL)
Inside Value
The “near” zone width is controlled by a percent buffer of the monthly value width.
Weekly range and volume stats
On the weekly timeframe the script calculates:
RangeRatio (RR) = weekly high–low divided by weekly ATR(14)
VolumeRatio (VR) = weekly volume divided by a volume SMA (configurable length)
It then counts over a recent window:
How many of the last 6 weeks had “normal” RR (between 0.6 and 1.1 × ATR).
How many of the last 4 weeks had tight RR (RR < 0.8).
How many of the last 4 weeks had quiet volume (VR ≤ 1.0).
How many of the last 6 weekly closes were inside monthly value.
These counts drive the regime classification and are also shown in the dashboard.
Regime classification
The regime engine is designed around three states:
Rotating (A – Rotating)
All 6 of the last 6 weekly closes are inside monthly value.
At least 4 of those 6 weeks have normal RR.
→ Typical “range / rotation around value” environment.
Compressing (A – Compressing)
Last 4 weekly closes all inside monthly value.
At least 3 of the last 4 weeks have tight RR.
At least 3 of the last 4 weeks have quiet volume.
→ Volatility contraction and quieter trade inside value.
Escaping (B – Escaping)
At most 3 of the last 6 weekly closes are still inside value.
Last 3 weekly closes are clustered in the top or bottom quartile of their ranges.
At least 1 recent week shows high RR (“impulse” move).
Current weekly close is progressing further in that direction vs two weeks ago.
→ Expansion / trend away from value.
Priority is: Escaping > Compressing > Rotating.
If monthly VAH/VAL are missing, regime is set to MISSING monthly VAH/VAL.
If none of the patterns fit cleanly, regime is labeled MIXED.
A separate “Progress vs 2w ago” tag reports:
Up vs 2w ago
Down vs 2w ago
Flat vs 2w ago
based on the position of the current weekly close within its range compared to two weeks prior.
Visuals
Lines
Optional Monthly VAH and Monthly VAL horizontal lines.
Background shading (optional)
If Shade background by regime is enabled and monthly values are present:
Compressing → blue tint
Escaping → orange tint
Rotating → green tint
Other / mixed → light gray tint
If the shading option is off or monthly VAH/VAL are missing, the background is not modified.
Dashboard table
A compact table (corner is configurable) shows:
Row 0: Weekly Regime – regime label (B Escaping / A Compressing / A Rotating / MIXED / missing)
Row 1: Location – monthly value location text (inside / near edge / outside)
Row 2: Progress – up / down / flat vs two weeks ago
Row 3: Inside (6w) – count of weeks inside value out of last 6
Row 4: RR Normal (6w) – count of “normal RR” weeks in last 6
Row 5: Tight/Quiet (4w) – string summary:
RR tight: X | Vol quiet: Y (counts over last 4 weeks)
Inputs
Monthly VAH / VAL (manual)
Monthly VAH (upper value)
Monthly VAL (lower value)
Show Monthly VAH / VAL (on/off)
Monthly buffer
Near-edge buffer (% of value width) – defines how close to VAH/VAL counts as “near”.
Weekly Regime Engine
Top percentile threshold (0..1) – default 0.75 (top quartile of weekly range)
Bottom percentile threshold (0..1) – default 0.25
Weekly volume SMA length – lookback for VR normalization
Shade background by regime – enable/disable colored background
Dashboard
Show dashboard – show/hide the table
Dashboard corner – Top Left / Top Right / Bottom Left / Bottom Right
How to use it
Set Monthly VAH / VAL for the current contract / product.
Watch the regime label + background color to know if weekly structure is:
Ranging around value
Compressing quietly inside value
Attempting to escape and trend away
Use Location and Inside Count to judge how anchored price still is to the monthly value area.
Use the RR / volume counts and Progress vs 2w ago to decide whether to treat current moves as range trades, breakout attempts, or fading candidates.
This is built to be a weekly “state of the environment” layer you can combine with your more granular entry tools.
RR03.2.2This indicator is designed to assist with trend and entry confirmation.
It plots visual signals based on predefined technical conditions.
Intended for discretionary trading and educational purposes only.
Works best on liquid markets and standard timeframes.
abosaud | SPXاستراتيجية مؤشر SPX
إحترافية جدا تحدد لك موقع دخول الكول و البوت مع تحديد الأهداف اليومية و تحديد الدعم والمقاومة اليومية تلقائيا
وأيضا لديك شاشة تظهر الأتجاه الحالي و العام للسوق .
كيف تعمل الأستراتيجية :-
عند اختراق خط الكول واقفال شمعة يتم دخول الكول وكل هدف يعتبر منطقة ارتداد وعند توفر سيولة عالية غالبا يتم استهداف المقاومة اليومية .
وأيضا دخول البوت يتم عند كسر خط البوت مع اقفال شمعة يتم استهداف الأهداف الموضحة .
ملاحظة : خط الدعم والمقاومة يعتبر منطقة ارتداد قوية عند كسرها من المتوقع استمرار الأتجاه بشكل قوي
The SPX indicator strategy is highly professional, identifying call and put entry points, setting daily targets, and automatically determining daily support and resistance levels. It also includes a screen displaying the current and overall market trend.
How the strategy works: When the line breaks through and a candle closes, the line is entered, and each target is considered a rebound zone. When high liquidity is available, the daily resistance is often targeted.
The put entry is also triggered when the put line is broken and a candle closes, targeting the indicated objectives.
Note: The support and resistance lines are considered strong bounce zones; breaking them suggests a strong continuation of the trend.
AI Signal - RemasteredAI Signal – Remastered is an advanced trading assistant built on Smart Money Concept (SMC) and Price Action principles.
This indicator is designed to help traders read market structure clearly, identify high–probability zones, and execute trades based on logical confirmation rather than emotions.
Hedge Fund Statistical Aggregate Index | QuantLapseHedge Fund Statistical Aggregate Index
A Multi-Domain Regime Classification Model for Technical Structure, Higher-Timeframe Bias, and Global Liquidity Dynamics
Overview
The Hedge Fund Statistical Aggregate Index is a closed-source, multi-domain statistical model designed to classify market regimes by merging three independent forms of analysis:
Short- to medium-term technical structure
Higher-timeframe trend and persistence
Macro-liquidity and systemic environment
Each domain uses its own transformations, including RTI, VIDYA, Fourier smoothing, Gann-based geometry, Mastermind Trend scoring, Kijun Sen equilibrium baselines, and custom statistical aggregation loops.
The final system value is therefore derived from cross-domain coherence , not from the behavior of any single indicator.
This is a long-horizon regime model , not a scalping, intraday, or leverage-based system.
Its logic assumes a baseline of 100% spot exposure —similar to a trend-filtered buy-and-hold framework—because risk assets tend to drift upward over long horizons under monetary expansion.
This model attempts only to identify when long-term structural conditions deteriorate enough to reduce or avoid exposure .
It is not designed for futures, margin, or active position flipping.
Core Analytical Domains
1. Technical Layer (Short–Medium Term)
This domain evaluates immediate market behavior using:
volatility-adjusted trend extraction
rate-of-change normalization
adaptive momentum scoring
deviation from dynamic equilibrium baselines
This produces a normalized short-term sentiment between –1 and +1.
2. Higher-Timeframe Structural Layer
A slower, structural evaluation designed to reduce noise. It evaluates:
multi-timeframe trend alignment
momentum persistence across cycles
strength of directional bias
The purpose of this domain is to identify whether local behavior aligns with broader structural pressure.
3. Macroeconomic Liquidity Layer
This domain uses TradingView’s macroeconomic datasets to evaluate liquidity expansion or contraction.
Inputs include:
Global M2 aggregates
Net Liquidity (Fed + Treasury + RRP adjustments)
Global sovereign yield trends
Credit-spread and funding conditions
Currency-strength composites
This domain approximates global liquidity cycles that frequently precede regime transitions.
Aggregation & Signal Architecture
A weighted statistical aggregator merges all three domains using:
cross-domain agreement vs. divergence
baseline distance and z-normalization
rate-of-change synchronization
rolling-window statistical coherence
The model outputs:
System Value (−1 to +1 normalized regime score)
Composite Rate-of-Change
Directional Regime Classification
This is a regime classifier , not a traditional trade-entry generator.
How to Use
Designed for swing, macro, and position investing (weeks → years).
Positive values = improving regime / upward structural environment.
Negative values = deteriorating regime / contraction environment.
Candle coloring displays market mode for clarity.
When paired with a reference baseline BTCUSD the model reveals divergences between asset-specific and system-wide liquidity conditions.
Domain Contribution Table
The companion table shows individual contributions from each domain.
Values below 0 → structural weakness
Values above 0 → structural strength
Values near ±1 → strong alignment (up or down)
Strong Downward Regime
Strong Upward Regime
Additional Metrics Table
These metrics help contextualize performance in long-horizon tests.
Color Guide
Green/Teal – favorable regime alignment
Pink/Red – unfavorable regime alignment
Why 100% Spot Allocation (Buy-and-Hold Logic)
This model is explicitly designed around:
unleveraged spot exposure
macro-driven trend filtering
avoiding high-risk sizing
Reasoning:
Long-term risk assets tend to appreciate under expanding liquidity (M2, global credit growth).
A 100% spot baseline reflects realistic investor behavior, not leveraged systems.
The model does not attempt to scalp, flip, or actively rotate positions.
Exposure adjustments occur only during structural deterioration—not short-term volatility.
It is therefore fundamentally a trend-filtered buy-and-hold overlay, not a futures or scalping tool.
Charting Notes
Use with a clean chart for clarity.
Colors indicate regime shifts—not entry signals.
No other indicators are required.
Why the System Produces a Low Number of Trades
Because this model is designed as a regime-classification and long-horizon investment framework , it intentionally generates a very low number of trades compared to typical trading strategies. This behavior is expected and intentional.
1. Long-Term Regimes Do Not Change Frequently
The three domains—Technical, Higher-Timeframe Structure, and Macro Liquidity—are built around slow-moving structural conditions.
Liquidity expansion and contraction cycles often last months or years.
Higher-timeframe directional biases do not flip often.
Macro persistence means structural signals remain unchanged for extended periods.
Because of these slow dynamics, the system avoids high-frequency rotation and issues trades only when major structural transitions occur. This aligns with the script’s purpose: a trend-filtered buy-and-hold overlay rather than an active trading engine .
2. The Strategy Uses Spot Investment Logic (Not Trading-Centric Logic)
This model assumes a baseline of 100% spot exposure , mimicking the behavior of long-term investors who remain fully invested unless the system detects a strong structural deterioration.
Thus:
“Trades” simply represent large regime transitions, not tactical entries.
The model spends extended periods in a single position—typically long.
Flat periods occur only in extreme structural divergence.
This explains why the trade count seen in backtests remains low, even over multi-year datasets.
3. Why Performance May Appear Large on Assets Like Bitcoin
Bitcoin and other crypto assets historically undergo:
extreme long-term appreciation
high volatility
extended trending behavior driven by liquidity cycles
In combination with a strategy that stays invested during expansion regimes, this produces:
large absolute net-profit values
steeper equity curves
significant compounding during multi-year uptrends
This is not due to leverage or aggressive trading.
It is simply the result of a long-term investment model applied to a historically high-growth asset.
4. Low Trade Count Does Not Violate Strategy Guidelines
TradingView’s guidelines recommend at least 100 trades only for systems claiming to be active trading strategies .
However, this system is explicitly described as:
not a scalping system
not an intraday or short-term strategy
not built for leverage
not constructed around trade frequency
Its purpose is regime identification for investment allocation , which justifies the lower number of trades.
This is fully compliant as long as the description clearly states:
“This is an investment framework, not a high-frequency strategy, and therefore the number of trades will naturally be low. Results reflect long-horizon spot exposure, not rapid trade execution.”
5. BTC’s Price Behavior Magnifies the Visual Movement of Trades
On the chart you are provided:
📈 Price appreciation from 2018 → 2024 causes the equity curve to appear extremely steep.
📉 During bear cycles, the model remains flat or minimally exposed.
This asymmetry creates:
High net profit values
High Sharpe / Sortino ratios
High profit factor
Low max-drawdown relative to buy-and-hold
In other words:
“Large-looking returns are a function of staying invested during large structural expansions, not because the system makes many trades.”
Summary of This Section
Low number of trades is expected.
The system behaves like a trend-filtered buy-and-hold model.
Spot exposure + BTC’s historical growth explains strong results.
Macro trends change slowly → few trades.
This aligns with TradingView publishing rules for long-horizon systems.
Originality, Why the combination
This script is not a mashup of public-domain TradingView indicators. It is a composite system built from independently derived, proprietary sub-models, each operating in a distinct analytical domain.The theoretical foundation of this architecture is the Law of Large Numbers, which states:
As the number of independent trials increases, the average outcome converges toward the expected value.
Rather than relying on a single indicator or regime assumption, this system aggregates multiple statistically independent signal sources. Each component contributes a partial, noisy estimate of market state. Through structured aggregation, these inputs converge into a stable composite signal whose expectancy is materially more reliable than any individual input in isolation.
In this context, the “mashup” is deliberate: it is a statistical averaging engine, not an indicator stack.
Aggregation Domains
The composite signal is formed through controlled statistical aggregation of the following independent domains:
RTI transformations
VIDYA adaptive trend systems
For-loop statistical aggregation
Gann-style geometric filters
Fourier-based cyclic components
Mastermind trend scoring
Multi-timeframe structural tracking
Custom macro-liquidity composites
Incorporates external liquidity conditions (M2, Global Liquidity, Net Liquidity) as slow-moving regime anchors.
Why This Mashup Creates Edge
The edge does not come from any single indicator or predictive claim. It emerges from:
Statistical independence across domains
Variance reduction through aggregation
Convergence toward a stable expected value
Suppression of false positives common in single-signal systems
By merging signals derived from orthogonal market properties (trend, cycle, geometry, liquidity, structure), the system behaves analogously to a casino’s game portfolio or an insurance risk pool: individual outcomes vary, but the composite converges.
The result is a high-signal-to-noise regime classifier designed for consistency, robustness, and long-horizon allocation decisions — not short-term prediction.
Summary
The Hedge Fund Statistical Aggregate Index combines multi-timeframe technical structure with global liquidity cycles to produce a normalized market regime model.
It is intended for long-term analysts and allocators looking to contextualize market structure rather than trade frequently.
The system is built for spot allocation frameworks and can help identify major regime transitions—especially in liquidity-sensitive assets like cryptocurrencies and global risk assets.
Note: Past performance does not equal future results. This strategy is intended for research and educational purposes within TradingView.
Ms. PACMAN 27-70Simple EMA ribbon 27-70
For crossover of price plot using Line Indicator Symbol
Enter when price exits the ribbon in your direction for buy vs sell.
Exit when price exits the other side of the ribbon.
If price returns inside the ribbon, stay in your position, because many times it will reverse and stay in your favor.
Can use continuous (just switch positions long or short) and go all session OR as long only or short only.
HTF+ Timeframe CountdownThis indicator allows you to display a timeframe countdown on any chart of your choosing. It gives you the ability to execute more precisely by keeping your eyes on the prize instead of eyeing every candles closure.
C: Daily Execution + Targets/DTE + VWAP Self-ContainedWhat This Indicator Does (Group 3 + Group 4)
This script is the execution and planning layer of the trading system.
It does not decide whether you are allowed to trade. That decision is already made upstream by the Monthly (Group 1) and Weekly (Group 2) indicators.
Instead, this indicator answers four practical questions once a trade is permitted:
Which roadmap is active right now?
(Roadmap A or Roadmap B)
Is there a valid entry trigger today?
(And is it confirmed or invalidated?)
If I enter, where is the most logical next target?
(Based on value structure, not guesses)
How much time do I need for the move?
(Translated into ATR units, days, and suggested options DTE)
You should only pay attention to this indicator after:
Monthly Risk is ON
Weekly regime is favorable or acceptable
Group 3: Daily Execution Engine
Purpose
Group 3 controls entries and trade direction.
It is intentionally strict and mechanical so that you are not interpreting candles emotionally.
What it Tracks
Roadmap A (Momentum / Continuation)
Looks for directional acceptance and follow-through
Designed for expansion and escape regimes
Roadmap B (Acceptance / Rotation)
Requires two-close acceptance
Designed for rotational or re-entry conditions
Trigger state
No trigger
Trigger active
Trigger invalidated
Bias resolution
Long
Short
Neutral (stand aside)
At any moment, the script knows:
Which roadmap is live
Whether a trigger exists
Whether that trigger is still valid
This prevents “almost trades” and hindsight entries.
Group 4: Targets + DTE Board
Purpose
Group 4 separates planning from execution.
Once an entry exists (or is simulated), this group answers:
Where should price logically go next?
How far is that in ATR terms?
How much time does that usually require?
Target Selection Logic (in priority order)
Targets are selected automatically based on value structure, not indicators:
Weekly POC
Monthly POC
Weekly HVNs (nearest in direction)
Opposite Weekly Value Edge
Opposite Monthly Value Edge
Optional Monthly Extensions (if enabled)
Only valid and enabled levels are considered.
The script always chooses the nearest valid target in the trade direction.
You can override everything with a manual target if needed.
Entry Reference Logic
The script supports three entry reference modes:
Manual
You type in your actual fill price
Signal bar close
Uses the close of the trigger bar
Next open (simulated)
Approximates realistic fills for signal-based trades
This entry reference is used for:
ATR distance
Days needed
DTE estimation
Time & DTE Estimation
Once an entry and target exist, the script calculates:
ATR units to target
Estimated days needed
Suggested minimum DTE
This does not recommend strikes.
It only answers:
“How much time does this idea realistically need to work?”
That keeps strategy and options selection cleanly separated.
What This Indicator Does Not Do
It does not override Monthly or Weekly permission
It does not force trades
It does not optimize or backtest
It does not predict direction without a trigger
If nothing is valid, it will clearly show no trade.
How to Use This in Your Workflow
Check Group 1 (Monthly)
Risk ON
Location makes sense
Check Group 2 (Weekly)
Regime identified
No conflict with monthly
Only then look at this indicator
Wait for a valid roadmap trigger
Confirm bias and direction
Review the auto target and DTE board
Decide if the trade fits your risk and time constraints
If any upstream condition changes, this indicator naturally goes quiet.
NL - SSMTTHE PATH OF PRICE
───────────────────────────────
I've spent years studying the market.
I didn't want signals. I wanted to understand. The "why" behind the movement.
There are masters who explain this. Few. Scattered across hundreds of hours of content.
I studied them. I understood their ideas. And I realized something was missing: a way to see it all together, on the chart, clearly.
So I built it.
I took the best from each one. Added my own logic that helped me see what they weren't showing. And I turned it into an indicator that shows me the path.
Price doesn't move against you. It's an algorithm. It moves following a rhythm. Cycles, quarters, models. An order you can learn to see.
This indicator doesn't give you signals. It shows you what price is telling you. Where it's heading.
It's not for chasing entries. It's for understanding.
And when you understand, trading becomes simple.
───────────────────────────────
THE COLLECTION
Four tools. One system.
◆ Cloud — Where price can stall or react.
◆ Quarters & Cycles — The rhythm. When and where to expect movement.
◆ SSMT — Confirmation. What other assets are doing.
◆ True Opens — Your starting point. Discount or premium.
Each one works alone. Together, they tell you the full story.
NL - TO THE PATH OF PRICE
───────────────────────────────
I've spent years studying the market.
I didn't want signals. I wanted to understand. The "why" behind the movement.
There are masters who explain this. Few. Scattered across hundreds of hours of content.
I studied them. I understood their ideas. And I realized something was missing: a way to see it all together, on the chart, clearly.
So I built it.
I took the best from each one. Added my own logic that helped me see what they weren't showing. And I turned it into an indicator that shows me the path.
Price doesn't move against you. It's an algorithm. It moves following a rhythm. Cycles, quarters, models. An order you can learn to see.
This indicator doesn't give you signals. It shows you what price is telling you. Where it's heading.
It's not for chasing entries. It's for understanding.
And when you understand, trading becomes simple.
───────────────────────────────
THE COLLECTION
Four tools. One system.
◆ Cloud — Where price can stall or react.
◆ Quarters & Cycles — The rhythm. When and where to expect movement.
◆ SSMT — Confirmation. What other assets are doing.
◆ True Opens — Your starting point. Discount or premium.
Each one works alone. Together, they tell you the full story.
SMT Fill [BETA]SMT Fill
Overview
SMT Fill is a divergence indicator designed for ICT (Inner Circle Trader), Price Action traders. It automatically detects and visualizes SMT Divergences (Smart Money Technique) between correlated assets, specifically focusing on reactions at Fair Value Gaps (FVGs).
Key Features
1. Automated SMT Detection
The indicator monitors your current chart (e.g., NQ) and compares it against up to two other user-defined assets (e.g., ES, YM).
Bullish SMT: Detected when the current asset makes a Lower Low into a key level, but a correlated asset fails to make a Lower Low (makes a Higher Low).
Bearish SMT: Detected when the current asset makes a Higher High into a key level, but a correlated asset *fails* to make a Higher High (makes a Lower High).
**Important**: The indicator requires at least one visible Fair Value Gap (FVG) to be detected across any of the configured assets (Current Chart, Asset 2, or Asset 3). It does not require an FVG on every single asset. As long as one asset has a valid reference level, the divergence calculation runs for all assets.
2. Fair Value Gap (FVG)
SMT signals are most powerful when they occur at key reference points. This indicator has the options to highlights
Bullish FVGs (Green Boxes): Areas of potential support.
Bearish FVGs (Red Boxes): Areas of potential resistance.
3. SMT "Fill" Visualization
When an SMT Divergence is confirmed, the indicator draws a "Fill Line" connecting the divergence point to the reference FVG. This provides a clear visual cue of the crack in correlation, helping to spot reversals in real-time.
Configuration Guide
⚙️ General (Asset Config)
Asset 2 / Asset 3: Select the correlated symbols you want to compare against.
** Tip: If you are trading NQ (Nasdaq), set Asset 2 to ES(S&P 500). You can also set the correlated symbol Asset 3 to YM (Dow Jones).
📦 FVG Settings
Controls how Fair Value Gaps are displayed.
Display FVG: Toggle the colored FVG boxes on/off.
Max FVGs: Limits the number of historical FVGs shown to keep your chart clean.
FVG Box Length: Adjusts how wide the FVG boxes appear (in bars).
Colors: Customize the colors for Bullish and Bearish FVGs to match your chart theme.
🔗 SMT Fill Settings
Controls the strictness and lookback of the divergence logic, and visualisation.
Max FVG Lookback: How far back (in bars) the script checks for unmitigated FVGs. Increasing this allows for detecting divergences against older levels.
Max SMT Fill: The maximum number of active divergence events (by candle) to keep on screen. Oldest events are automatically removed.
Line Style: Choose between Solid, Dotted, or Dashed lines.
Width: Adjust the thickness of the divergence lines.
Colors: Set distinct colors for Bullish and Bearish divergences. Default is Green/Red.
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*Note: This is a BETA release. Please verify its accuracy with your own analysis.*
Bullish & Bearish Kickerettings You Can Adjust
Require Minimum Kick Amount - Ensures the gap is significant enough (default 1%)
Only Show Open Equals Low/High kickers - Stricter filter:
Bullish: current candle's low equals its open (strong buying)
Bearish: current candle's high equals its open (strong selling)
Arrow Colors - Customize bullish (blue) and bearish (red) colors
Trading Interpretation
Bullish Kicker: Strong buying pressure, potential entry for long positions
Bearish Kicker: Strong selling pressure, potential entry for short positions or exit longs
NL Cuartos y CiclosTHE PATH OF PRICE
───────────────────────────────
I've spent years studying the market.
I didn't want signals. I wanted to understand. The "why" behind the movement.
There are masters who explain this. Few. Scattered across hundreds of hours of content.
I studied them. I understood their ideas. And I realized something was missing: a way to see it all together, on the chart, clearly.
So I built it.
I took the best from each one. Added my own logic that helped me see what they weren't showing. And I turned it into an indicator that shows me the path.
Price doesn't move against you. It's an algorithm. It moves following a rhythm. Cycles, quarters, models. An order you can learn to see.
This indicator doesn't give you signals. It shows you what price is telling you. Where it's heading.
It's not for chasing entries. It's for understanding.
And when you understand, trading becomes simple.
───────────────────────────────
THE COLLECTION
Four tools. One system.
◆ Cloud — Where price can stall or react.
◆ Quarters & Cycles — The rhythm. When and where to expect movement.
◆ SSMT — Confirmation. What other assets are doing.
◆ True Opens — Your starting point. Discount or premium.
Each one works alone. Together, they tell you the full story.
NL NubeTHE PATH OF PRICE
───────────────────────────────
I've spent years studying the market.
I didn't want signals. I wanted to understand. The "why" behind the movement.
There are masters who explain this. Few. Scattered across hundreds of hours of content.
I studied them. I understood their ideas. And I realized something was missing: a way to see it all together, on the chart, clearly.
So I built it.
I took the best from each one. Added my own logic that helped me see what they weren't showing. And I turned it into an indicator that shows me the path.
Price doesn't move against you. It's an algorithm. It moves following a rhythm. Cycles, quarters, models. An order you can learn to see.
This indicator doesn't give you signals. It shows you what price is telling you. Where it's heading.
It's not for chasing entries. It's for understanding.
And when you understand, trading becomes simple.
───────────────────────────────
THE COLLECTION
Four tools. One system.
◆ Cloud — Where price can stall or react.
◆ Quarters & Cycles — The rhythm. When and where to expect movement.
◆ SSMT — Confirmation. What other assets are doing.
◆ True Opens — Your starting point. Discount or premium.
Each one works alone. Together, they tell you the full story.
