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.
Indicadores y estrategias
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.
---
*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.
Onsa PulseSimilar metric in usage to say something like RSI. More testing is needed for
thresholds, but when we see a very high or very low pulse, it is indication that
at least a temporary reversal may be underway. PULSE is a the second
derivative to price. When we hit major extremes, this suggests price
reversion. Major extremes circled on chart.
The green circles show a high Pulse and therefore market temporary tops.
The red circles show a low Pulse and therefore market temporarily bottoms.
Onsa TrendsTrend Algorithm is best utilized on longer timeframes in my short
experience utilizing them. Trendlines often suggest there is more
of a move left in said directions. There is limited testing on this,
and results will be varied. Red indicates for more weakness and
further downside. Green for more upside.
Bottom right on the TREND algorithm has Breadth (similar to
Breadth.app website) and TRIN labeled. Breadth and Trend guides
can be found inside ONSA Discord. myonsa.com
Onsa LevelsLevels shows levels based on a few metrics and should be relatively simple to follow as
Supply and Demand Zones. You can turn lines on and off by utilizing the settings button.
myonsa.com to subscribe and find a fun group to trade with.
Onsa GammaTo be used with other protocols to showcase gamma lines on tradingview. This will not work for forever, but it is sufficient for the time being.
Onsa ScalpScalp Algorithm. Works on 1 minute chart. Should be used in conjunction with
gamma. and traded in areas where there is high (positive) or low (negative) gamma.
Note: From limited testing and feedback from over 2 dozen testers... Long signals
seem overall better than the Short.
Can subscribe to myonsa.com for gamma data.
3 Days Volatility 3 Days Volatility (Final) is a price-action based volatility indicator designed to measure the true market movement over the last 3 trading days.
It helps traders quickly understand whether the market is in consolidation, expansion, or high-risk volatility.
The indicator always uses daily (D) timeframe data, so it works consistently on intraday, swing, and positional charts without repainting.
🔍 What does this indicator measure?
This indicator calculates three different types of volatility, each serving a specific trading purpose:
1️⃣ Close Range %
Calculated using Highest Close – Lowest Close of the last 3 days
Measures close-to-close price movement
Useful for identifying trend smoothness and controlled movement
👉 Best suited for swing traders who focus on closing prices.
2️⃣ Body Range % (NO WICKS)
Calculated using the highest and lowest candle bodies of the last 3 daily candles
Completely ignores wicks and spikes
Shows real buying and selling strength
👉 This is the most important component of the indicator, as it reflects pure price acceptance rather than noise.
3️⃣ High–Low %
Calculated using Highest High – Lowest Low of the last 3 days
Measures total volatility including wicks, news moves, and extreme spikes
👉 Very useful for risk assessment, options trading, and volatility awareness.
🎨 Smart Colour Coding System
Each volatility value is automatically highlighted using a three-level colour system:
🟢 Green → Low volatility (tight range, consolidation phase)
🟠 Orange → Medium volatility (expansion, active market)
🔴 Red → High volatility (breakout, strong momentum, or high risk)
This allows traders to instantly read market conditions without manual calculations.
📊 Visual Output
Clean table-based display
Updates only on the latest bar
Does not clutter the chart
Non-repainting and safe for analysis
💡 Best Use Cases
Identifying consolidation before breakouts
Measuring volatility expansion in futures trading
Understanding risk levels for options buying/selling
Filtering trades based on market volatility conditions
⚠️ Important Disclaimer
This indicator does NOT provide buy or sell signals
It is designed as a volatility and market condition tool
Always use it with your own trading strategy and proper risk management
Onsa SwingSwing System
Swing Algorithm is designed to work for longer timeframes. Is also best used with
gamma levels, which can be found on Myonsa.com
Best Zone v8.3 - Smart Supply & Demand EngineOverview
The Best Zone v8.3 is a high-precision trading tool designed to identify professional-grade Supply and Demand (S&D) imbalances. Unlike standard support and resistance indicators, this script utilizes advanced price action logic to locate where institutional "Smart Money" has entered the market, marking Fresh, Tested, and Broken zones across multiple timeframes.
Key Technical Features
Adaptive Market Logic: Includes dedicated logic for different market structures:
NSE (Stocks): Optimized for the Indian market session (6h 15m), utilizing professional 75min and 125min intraday timeframes.
MCX (Commodity): Tailored for 24-hour markets, focusing on 1-hour and 4-hour structures.
Multi-Timeframe Analysis (MTF):
Intermediate Zones: Automatically plots zones from one step above your current timeframe to identify intraday targets.
Location Zones (HTF): Displays the "Big Picture" zones (e.g., Daily or Weekly) to ensure you are always trading in the direction of the higher timeframe trend.
Strict Zone Filtering:
Explosive Move (Leg-out): Filters out weak zones by requiring a minimum price explosion (Leg-out size ratio) relative to the base.
Imbalance Quality: Limits the number of "Base Candles" to ensure you only trade levels where the market spent minimal time before a massive move.
Candle Health: Uses a "Min Body %" filter to exclude Dojis or candles with long wicks that signal indecision.
Zero-Repaint Logic: Optimized for Live Markets, Bar Replay, and Backtesting to ensure that what you see on the history is exactly what you get in real-time.
Calculation Modes
You can customize the zone width based on your risk appetite:
Body to Wick (Aggressive): Draws narrower zones (lower risk/higher RR), but may miss some entries that only touch the wick.
Wick to Wick (Conservative): Draws wider zones covering the entire price range, ensuring a higher probability of entry fills.
How to Use
Identify the Location: Check the Location Zones (HTF). If price is in a Daily Demand zone, focus only on "Buy" setups on lower timeframes.
Wait for the Retest: Look for price to return to a Fresh zone (Green for Demand, Red for Supply).
Monitor Zone Status: * Fresh: Untouched and high probability.
Tested: Already mitigated; use with caution.
Broken: The level is no longer valid.
Settings Guide
Leg-out Ratio: Recommended 1.3 – 1.6 for a balance between quality and frequency.
Max Base Candles: Set to 3 for high-quality institutional levels.
Show History: Toggle ON to study past performance (Backtesting) or OFF for a clean, live trading chart.
Disclaimer: Trading financial markets involves significant risk. This indicator is a tool to assist analysis and should be used in conjunction with a complete trading plan and risk management.
Eagle Algo Pro [Trader Hridoy]Eagle Algo Pro is a multi-modular trading system developed by Trader Hridoy for the Eagle Algo community. This script provides a disciplined, rule-based approach to market analysis by filtering noise and focusing on high-probability setups using a custom-built decision engine.
█ CONCEPT & UNDERLYING LOGIC
This strategy is built on the principle of "Confluence." It combines several analytical modules to ensure a trade is only suggested when multiple factors align:
1. Trend Breakout Module (Strategy A): Uses a dynamic High/Low price channel (Donchian Logic). A signal is primed only when price confirms momentum by closing outside this channel.
2. Dynamic S/R Zones (Strategy B): Automatically identifies Support & Resistance boxes based on historical pivot clusters. It calculates "Zone Strength" based on how many times price has reacted at those levels.
3. Linear Regression Channel (Strategy D): Acts as a mean-reversion filter to identify overbought/oversold conditions, ensuring you don't enter a trade at an unfavorable price.
█ UNIQUE FEATURES (Originality)
The primary value of this script lies in its custom execution logic:
* Signal Gatekeeper (State Machine): This is a proprietary logic that prevents signal overlapping. Once a signal is active, the algorithm pauses and waits for the trade's outcome before scanning for new setups. This mimics professional trade management.
* Custom Performance Dashboard: A real-time table displays win/loss metrics and total signals based on historical bars, helping traders understand the current market environment.
* Multi-Factor Filtering: Includes optional filters for ADX (Trend Strength), SuperTrend (Direction), and Volume confirmation.
█ HOW TO USE
* BUY/PUT Labels: These appear when the Trend, S/R zones, and Accuracy Filters all agree.
* Wick Rejection: The system is optimized to detect price rejection from key S/R zones for higher probability entries.
* Algo Modes: You can choose between "Wait for Result" (Conservative) or "Continuous" (Aggressive) generation in the settings.
█ DISCLAIMER
This script is for educational and analytical purposes only . Trading involves significant risk. The "Win Rate" shown on the dashboard is a theoretical calculation based on historical data. Past performance is not indicative of future results. The developer, Trader Hridoy , is not responsible for any financial losses.
IMB Session Scanner (15M+) - 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 Formed
- IMB Mitigated (Tapped at Open)
Designed for clean institutional execution and reduced chart lag.






















