Supertrend Multi-Filter Toolkit [CLEVER]🧠 Overview
“Supertrend Multi-Filter Toolkit” is an advanced trend-following indicator designed to generate more reliable trading signals by combining multiple confirmation layers instead of relying on a single condition. Its main objective is to reduce false signals and market noise by validating trend direction through a structured multi-filter system.
The core structure is built on a dual Supertrend model. The fast Supertrend captures short-term price movements and immediate trend shifts, while the slow Supertrend confirms the overall market direction. When both align, the signal becomes stronger; when they conflict, the signal is considered weak or less reliable.
This system also includes Multi-Timeframe (MTF) analysis, which aligns lower timeframe signals with higher timeframe trends. This helps traders understand the broader market structure and avoid low-quality entries caused by short-term fluctuations.
In addition, the toolkit uses multiple confirmation filters such as EMA trend direction, ATR-based volatility filtering, ADX trend strength measurement, and volume confirmation. Together, these filters act as a validation layer that ensures trades are only considered when market conditions are strong and supportive.
The signal logic is divided into two main categories: trend signals and pullback signals. Trend signals identify major directional changes, while pullback signals capture retracement opportunities within an existing trend, allowing for better entry timing instead of chasing moves.
Visually, the indicator uses colored candles, trend clouds, and labels to clearly represent market structure and signal direction. An alert system is also included to notify users in real-time when valid buy, sell, or pullback conditions occur.
Overall, this is a probability-based trading support system that focuses on confirmation and structure rather than prediction. It is designed to assist decision-making and should be used with proper risk management instead of being treated as a guaranteed signal tool.
🧠 Core Concept (House Rules Based Deep Explanation)
The core concept of the “Supertrend Multi-Filter Toolkit” is to build a structured, rule-based decision system for trend identification instead of relying on a single indicator signal. According to house rules logic, this design follows a multi-confirmation framework, where every trade idea must pass through several independent market filters before being considered valid.
At its foundation, the system uses Supertrend as the primary trend engine, but it does not treat it as a standalone signal generator. Instead, Supertrend is only the “base direction layer.” The fast Supertrend captures immediate price shifts, while the slow Supertrend acts as a structural confirmation layer. This separation ensures that signals are not generated on weak or isolated movements.
A key house-rule principle in this system is “no single-point dependency.” That means no trade is allowed based on just one indicator condition. Every signal must be validated through additional layers like trend strength, volatility, volume, and higher timeframe alignment. This reduces random entries and forces the system to operate only in structured market conditions.
The Multi-Timeframe (MTF) filter is used as a higher-order rule to align lower timeframe decisions with the dominant market structure. This is important because, under house rules logic, lower timeframe signals without higher timeframe confirmation are considered low-quality and more prone to false triggers.
Another core concept is market quality filtering. EMA defines trend bias, ATR defines whether the market is stable or too noisy, ADX confirms whether a real trend exists or not, and volume confirms participation. If any of these conditions fail, the system treats the setup as incomplete and avoids generating a valid signal.
The system also applies a cooldown mechanism, which is a structural rule to prevent overtrading. Even if conditions repeat quickly, the system restricts signal frequency. This aligns with disciplined trading logic where quality is preferred over quantity.
Finally, pullback logic adds a second layer of opportunity detection inside an existing trend. Instead of chasing breakout candles, the system waits for retracement + rejection confirmation, which is considered a safer entry structure under house rules logic.
⚠️ Final House Rule Interpretation
This toolkit follows a confirmation-first, noise-filtered trading architecture. It does not predict the market; it filters it. The core idea is simple:
👉 Only trade when multiple independent conditions agree, otherwise stay out.
🔑 Key Features
⚡ Dual Supertrend Engine (Fast + Slow Structure Layer)
The system is built on a dual Supertrend structure where the fast Supertrend reacts quickly to price changes and the slow Supertrend confirms the broader trend direction. From a house rules perspective, this prevents single-indicator dependency and ensures that signals are only considered valid when both layers agree. If they do not align, the setup is treated as weak or unreliable.
🌍 Multi-Timeframe Confirmation (Market Context Filter)
The MTF feature aligns lower timeframe signals with higher timeframe market structure. This acts as a context filter, ensuring that short-term entries are not taken against the dominant trend. According to safe trading logic, this reduces noise and helps avoid low-quality or counter-trend signals.
🔍 Multi-Factor Filter System (Quality Control Layer)
This toolkit uses multiple independent filters to validate every signal:
EMA Filter: Defines directional trend bias
ATR Filter: Measures market volatility and stability
ADX Filter: Confirms whether a real trend exists
Volume Filter: Checks market participation strength
Under house rules logic, these filters act as a “validation gate,” meaning a signal is only considered valid when market conditions support it from multiple angles.
🚀 Signal Engine (Rule-Based Entry Logic)
Buy and sell signals are generated only when a Supertrend direction change occurs AND multiple filters confirm the move. This makes the system a multi-step confirmation model, not a single-trigger indicator. It ensures that signals are based on structured agreement rather than random price movements.
🔁 Pullback Detection (Trend Continuation Logic)
The pullback feature identifies retracement opportunities within an existing trend. Instead of chasing breakouts, the system waits for price pullbacks with rejection confirmation. This creates safer, trend-aligned entry opportunities and improves timing quality.
🧠 Cooldown Mechanism (Anti-Overtrading Control)
A cooldown system prevents repetitive signals during the same market phase. This ensures that the indicator does not over-trigger in choppy or volatile conditions. From a house rules perspective, this enforces discipline and reduces signal spam.
🎨 Visual Structure (Market Clarity Layer)
Candles, clouds, and labels are used to visually represent market structure and trend direction. This is purely for readability and does not influence signal logic. It helps traders quickly understand whether the market is bullish, bearish, or in transition.
🔔 Alert System (Event-Based Notification Layer)
Alerts are triggered only when full confirmation conditions are met. This is an event-driven system that notifies validated setups rather than predicting outcomes.
⚠️ Final House Rules Interpretation
This is a multi-layer confirmation-based system that filters market conditions instead of predicting them. The core principle is:
👉 Only take trades when multiple independent conditions align (trend, strength, volatility, and structure).
⚙️ How It Works
🧠 Step 1: Market Structure Reading (Supertrend Base Layer)
The system first reads the market using two Supertrend lines: fast and slow. The fast Supertrend reacts to short-term price movement, while the slow Supertrend defines the overall directional bias. According to house rules logic, this step alone does not create a trade signal—it only defines initial market direction context.
🌍 Step 2: Higher Timeframe Confirmation (MTF Filter)
After the base direction is identified, the system checks the higher timeframe trend using MTF analysis. This ensures that lower timeframe movements are aligned with the broader market structure. If higher timeframe direction disagrees, the system reduces or blocks signal validity. This prevents counter-trend bias and improves structural alignment.
🔍 Step 3: Market Condition Validation (Filter Layer)
Before any signal is allowed, the system runs multiple independent checks:
EMA confirms trend direction
ATR checks if market is stable or too volatile
ADX verifies whether a real trend exists
Volume confirms participation strength
House rules logic treats this stage as a quality control gate. If any condition fails, the system does not allow a trade signal to proceed.
🚀 Step 4: Signal Formation (Decision Layer)
Only when Supertrend direction change AND all filters agree, a buy or sell signal is generated. This is not a single-indicator trigger. It is a multi-confirmation event where multiple conditions must align at the same time. This reduces random entries and forces structured decision-making.
🔁 Step 5: Pullback Detection (Continuation Logic)
After a trend is established, the system also watches for pullbacks. Instead of entering at random breakouts, it waits for retracements with rejection confirmation. This step allows entries during controlled pullbacks inside an existing trend, improving timing and reducing chasing behavior.
⏳ Step 6: Cooldown Control (Anti-Spam Logic)
Once a signal is generated, a cooldown period activates. This prevents repeated signals in the same market phase. Even if conditions reappear quickly, the system waits before allowing another signal. House rules consider this an anti-overtrading protection layer.
🎨 Step 7: Visual + Alert Output (User Interface Layer)
Finally, the system displays signals through labels, colors, and trend clouds. Alerts are triggered only when full confirmation is complete. This ensures the user only receives validated, structured signals, not incomplete or noisy triggers.
⚠️ Final House Rules Working Principle
The entire system works on one core rule:
👉 “No trade is valid unless multiple independent confirmations agree.”
It does not predict the market. It filters the market.
Each step acts like a checkpoint, and only fully confirmed setups are allowed to become signals.
🧭 How to Use It
🧠 Step 1: Understand the System First (No Blind Trading)
Before using signals, you must understand that this indicator is not a prediction tool. It is a filter-based decision system. House rules logic requires that you treat every signal as “conditional,” not guaranteed. If market conditions are weak, no trade is better than forcing an entry.
📊 Step 2: Trade Only When Full Signal Appears
A valid trade setup is only considered when:
Supertrend direction changes
MTF trend agrees with direction
EMA / ATR / ADX / Volume filters align (based on mode)
If even one major confirmation is missing, the signal should be ignored. This is the core house rules principle: multi-confirmation or no trade.
🚀 Step 3: Follow Trend Signals First (Main Priority)
Trend signals (BUY / SELL) are the primary entries. These occur when the system detects a full directional shift with confirmations. These are higher confidence setups compared to pullbacks. House rules logic says:
👉 Always prioritize trend-confirmed signals over weak or partial setups.
🔁 Step 4: Use Pullbacks for Better Entries (Not Early Entries)
Pullback signals are not for early guessing. They are for entering after trend is already confirmed. When price retraces into the trend and shows rejection, that is your controlled entry opportunity. This helps avoid chasing tops or bottoms.
⏳ Step 5: Respect Cooldown (Do Not Overtrade)
After each signal, a cooldown period activates. During this time, even if another signal appears, you should ignore it. This is a built-in discipline rule to prevent overtrading. House rules logic strongly supports this:
👉 Fewer trades, higher quality.
🧠 Step 6: Use Market Context (Trend Environment Matters)
This system works best in trending markets. If the market is sideways or choppy, signals may become less reliable even with filters. Always check structure first:
Strong trend → follow signals
Range market → avoid aggressive entries
🎯 Step 7: Risk Management is Mandatory
No signal should be used without proper stop-loss and position sizing. House rules clearly treat this system as a decision assistant, not a risk-free strategy. Every trade must be controlled with risk limits.
⚠️ Final House Rules Usage Principle
👉 “Do not trade every signal — trade only fully confirmed market conditions.”
Best usage flow is:
Structure → Confirmation → Signal → Pullback (optional) → Risk-managed execution
This ensures the system is used in a disciplined, rule-based way instead of emotional or random trading.
⚙️ Settings & Customization
🧠 1. Trading Mode (Aggressive / Balanced / Conservative)
This is the core behavior controller of the entire system.
Aggressive Mode: Fewer filters active, faster signals, higher noise risk
Balanced Mode: Default structure, best mix of confirmation + speed
Conservative Mode: Maximum filters, fewer but higher-quality signals
House Rules Interpretation:
👉 This setting controls “signal strictness level.”
More strict = fewer trades but higher confirmation quality.
🎯 2. Supertrend Settings (Fast & Slow Control)
You can adjust ATR length and factor for both Supertrends.
Fast Supertrend = sensitivity to short-term movement
Slow Supertrend = stability and trend confirmation
House Rules Logic:
👉 Lower settings = more reactive but noisy
👉 Higher settings = smoother but delayed signals
Best practice is to keep fast reactive and slow stable for balance.
🌍 3. Multi-Timeframe (MTF) Setting
MTF timeframe selection defines higher timeframe structure.
Lower MTF (15m / 30m) = more responsive but less strict
Higher MTF (1H / 4H) = stronger trend confirmation
House Rules Meaning:
👉 Higher timeframe = stronger filter, fewer false signals
👉 Lower timeframe = more frequent but weaker validation
🔍 4. Confirmation Filters (EMA / ATR / ADX / Volume)
Each filter can be turned ON/OFF depending on strategy style:
EMA Filter: Trend direction confirmation
ATR Filter: Volatility control (avoid unstable markets)
ADX Filter: Trend strength confirmation
Volume Filter: Participation confirmation
House Rules Logic:
👉 Each filter is an independent “approval layer”
More filters ON = stricter system, fewer trades
Fewer filters ON = faster but riskier signals
🎨 5. Visual Settings (Cloud, Labels, Candles)
These settings control only display behavior, not logic:
Candles coloring → trend visualization
Cloud → market bias visualization
Labels → signal clarity
House Rules Note:
👉 Visuals do NOT affect trading logic
They only help interpret structure faster.
⏳ 6. Cooldown Settings (Built-in Discipline Control)
Cooldown defines how often signals can appear.
Low cooldown = frequent signals, risk of overtrading
High cooldown = fewer signals, more stability
House Rules Meaning:
👉 This is an “anti-spam trading protection layer”
It forces patience and avoids repetitive entries.
🧠 7. Pullback Sensitivity (Entry Optimization Layer)
Pullback logic controls retracement-based entries inside a trend.
Tight settings = fewer pullbacks, stricter entries
Loose settings = more pullback signals, higher activity
House Rules Interpretation:
👉 Pullbacks are secondary entries, not primary signals
They should only be used after trend confirmation.
⚠️ Final House Rules Customization Principle
👉 “Customization should never remove confirmation layers blindly.”
Best safe configuration logic:
Keep at least one trend filter (MTF or EMA) ON
Keep volatility or ADX filter for structure safety
Use Aggressive only if you understand noise risk
Use Conservative for clean, filtered signals
🧩 Final Summary
Settings are not just preferences—they are risk-control layers.
Every toggle changes system behavior between:
👉 Speed vs Safety
👉 Frequency vs Quality
👉 Noise vs Structure
The best use is not maximum signals, but maximum confirmation with controlled flexibility.
🧠 Logic Mashup (How Everything Works Together)
⚙️ 1. Core Idea: “Layered Decision System”
This indicator is not built on one signal. It is a multi-layer logic mashup system where each module has a specific job:
👉 Supertrend = direction
👉 MTF = context
👉 Filters (EMA/ATR/ADX/Volume) = validation
👉 Cooldown = discipline control
👉 Pullback = entry refinement
House rules principle:
👉 “No single component is enough — all layers together create final decision.”
🔄 2. Step-by-Step Logic Flow (How System Works Together)
The system runs in a pipeline structure:
🟢 Step 1: Trend Detection (Supertrend Layer)
Fast Supertrend detects immediate direction changes.
Slow Supertrend confirms whether trend is stable.
👉 If fast changes but slow disagrees → signal weak
👉 If both agree → trend bias established
🌍 Step 2: Market Context (MTF Layer)
After trend is detected, higher timeframe is checked.
👉 If HTF agrees → signal allowed to continue
👉 If HTF disagrees → signal is filtered or weakened
This ensures system is not trading against big trend structure.
🔍 Step 3: Quality Filters (Validation Layer)
Now system checks:
EMA → Is price above/below trend structure?
ATR → Is market stable or too volatile?
ADX → Is there real trend strength?
Volume → Is move supported by participation?
👉 All filters act like “approval gates”
House rules logic:
👉 “Signal cannot pass unless market conditions support it.”
🚀 Step 4: Signal Generation (Final Decision Layer)
Only when:
✔ Supertrend direction change
✔ MTF alignment
✔ Filters confirm conditions
👉 Then BUY or SELL signal is created
This is not random — it is a full confirmation stack.
🔁 Step 5: Pullback Logic (Secondary Entry Layer)
After trend is active:
👉 Price retraces
👉 Shows rejection
👉 Still inside trend zone
Then system gives PB BUY / PB SELL
House rules meaning:
👉 “Do not chase breakout — wait for controlled retracement.”
⏳ Step 6: Cooldown Logic (Anti-Overtrade Layer)
After a signal:
👉 System locks new signals for some bars
This prevents:
Signal spam
Emotional overtrading
Choppy market confusion
House rules principle:
👉 “Less signals, more quality.”
🧠 3. How Everything Works Together (Mashup Concept)
Now the important part:
This system is working like a decision machine with stacked filters:
Market Data
↓
Supertrend (direction)
↓
MTF (context validation)
↓
EMA + ATR + ADX + Volume (quality check)
↓
Cooldown (discipline check)
↓
Final Signal Output
👉 Each layer depends on the previous one
👉 If any layer fails → signal is blocked or ignored
⚠️ 4. House Rules Safe Interpretation
This is NOT:
❌ Single indicator strategy
❌ Predictive system
❌ Guaranteed signal system
This IS:
✔ Confirmation-based decision framework
✔ Multi-filter risk reduction model
✔ Structure + strength + context aligned system
🧩 Final Core Truth
👉 “All components work together like a filter chain — only strongest, fully confirmed market conditions are allowed to become a signal.”
This is the real logic mashup:
Structure → Context → Strength → Validation → Controlled Entry
🧩 Final Note
This system should be understood as a multi-layer confirmation framework, not a prediction tool. Its logic is built to combine trend detection, market context, strength validation, and risk-control rules into one structured decision process.
Every part of the indicator has a specific role:
Supertrend defines direction
MTF confirms higher-timeframe structure
EMA/ATR/ADX/Volume filters validate market quality
Pullback logic refines entry timing
Cooldown controls overtrading behavior
Under house rules logic, a signal is only meaningful when all required layers agree at the same time. If even one major condition fails, the setup is considered incomplete and should be ignored.
The main principle of this toolkit is simple:
👉 Trade only when market structure, trend strength, and confirmation filters align together.
It is designed for disciplined, structured decision-making—not for guessing market direction or expecting guaranteed outcomes.
⚠️ Disclaimer
This indicator and all related logic are provided for educational and informational purposes only. It is a technical analysis tool designed to help understand market structure, trend behavior, and probability-based signal conditions.
It does not guarantee profits, accuracy, or future market performance. All trading decisions made using this tool are the sole responsibility of the user.
Markets are inherently risky and can behave unpredictably. Even strong-looking signals may fail due to sudden volatility, news events, liquidity changes, or broader market conditions.
This system is built on a multi-filter confirmation model, meaning signals are based on calculated conditions, not certainty. Therefore, no signal should be treated as financial advice or a guaranteed entry/exit point.
Users are strongly advised to:
Use proper risk management at all times
Avoid over-leveraging or emotional trading
Test strategies in demo environments before live use
Combine this tool with personal analysis and judgment
Under “house rules safe” logic, this indicator is a decision-support system, not a financial advisory service or automated profit tool.
👉 Final principle: No system removes risk — it only structures decision-making. Indicator
Prop Bruh - Clock | Candle | Countdown | ATRProp Bruh - Clock | Candle | Countdown | ATR
A compact all-in-one trading panel built for futures day traders who need critical information at a glance without cluttering the chart. Four essential tools stacked into a single, clean overlay.
What it does...
This panel combines a live New York clock, a bar close countdown, a current timeframe ATR, and a fixed 15-minute ATR into one customizable widget. Designed for traders who work across session boundaries (NY, London, Globex) and need to track volatility regimes in real time.
Features...
-Live NY Clock: 12-hour format with AM/PM, updates every second
-Bar Close Countdown: Shows minutes and seconds until the current bar closes, with a traffic light warning cascade (gray → yellow under 20s → red under 10s → flashing white under 1s) so you never miss a close
-Dual ATR Display: Current timeframe ATR on the left, fixed 15-minute ATR on the right, giving you both immediate volatility and broader regime context
-Session-Aware Volatility Coloring: The ATR row background shifts through four tiers (slate gray, soft blue, green, bright green) based on the 15m ATR value, with separate thresholds for NY, London, and Globex sessions
-Spike Marker: A 🔥 symbol appears in front of the current TF ATR value when it spikes above its own recent average by a customizable multiplier (default 1.25x), alerting you to volatility bursts as they happen
-Fully Customizable: Pick from five spike marker symbols (🔥 ⚡ ⭐ 🚨 💥), adjust panel size (Small, Medium, Large), position the widget in any of nine screen locations, and customize every color
How to use it...
Place the panel wherever works best on your chart. Glance at the countdown as bars approach close. Watch the ATR row background to understand the current volatility regime relative to the active session. Pay attention when the spike marker appears, it means the current timeframe just produced a meaningful volatility burst relative to its recent norm.
The design philosophy is disciplined, the panel stays grayscale during quiet conditions and only lights up when information demands attention. Your eye learns to filter it out until something actually matters.
Best for...
- Futures day traders (MES, ES, NQ, MNQ, GC, etc.)
-Anyone trading session-based strategies where volatility context matters
-Traders who want countdown awareness without giant timers eating chart real estate
Default session thresholds (15m ATR)...
-NY Session: Red below 35, Green above 55
-London Session: Red below 28, Green above 45
-Globex Session: Red below 22, Green above 35
All thresholds are fully adjustable to match your instrument and style.
Built for discipline. Built for speed. Built for the Prop Bruh framework. Indicator
Liquidity Matrix IndicatorLiquidity Matrix Indicator
Smart Money • AI Confluence • Precision Entries
🧠 Overview
Liquidity Matrix Indicator is an advanced multi-confluence trading system built to detect high-probability entries using a fusion of:
Smart Money Concepts (SMC)
Liquidity Sweeps & Stop Hunts
Break of Structure (BOS)
Fair Value Gaps (FVG)
Trend & Higher Timeframe Alignment
AI-Based Signal Scoring
This indicator is designed for traders who want to move beyond basic indicators and trade with institutional logic and precision.
⚡ Core Features
🔹 Trend Intelligence Engine
Uses EMA 50 for directional bias
Uses EMA 200 for higher timeframe confirmation
Filters trades to align with dominant market direction
💧 Liquidity Sweep Detection
Identifies buy-side & sell-side liquidity zones
Detects stop hunts where smart money traps retail traders
Highlights potential reversal zones
🔥 Market Structure (BOS)
Detects Break of Structure for confirmation of momentum
Ensures trades are taken only when structure supports the move
⚡ Fair Value Gap (FVG) Detection
Identifies price imbalances
Confirms institutional activity and strong directional intent
🎯 Dual Entry System
🔄 Reversal Mode (SMC Logic)
Triggered when:
Liquidity sweep ✔
BOS ✔
FVG ✔
👉 Ideal for catching market turning points
📈 Trend Continuation Mode
Pullback to EMA zone
Strong confirmation candle
👉 Designed to ride established trends
🤖 AI Signal Scoring System
Each setup is evaluated using a weighted scoring model:
Trend Alignment
HTF Confirmation
Liquidity Sweep
BOS
FVG
Candle Strength
✅ Only signals with score ≥ 60 are triggered
👉 Filters out low-quality trades
💪 Strength Filter (Volatility-Based)
Uses ATR-based candle strength detection
Avoids weak or indecisive market conditions
📊 Built-in Risk Management
Automatic Stop Loss (ATR-based)
Dynamic Take Profit (Risk:Reward based)
Default optimized for 1:2 RR
📺 Smart Dashboard
Displays real-time:
Trend direction
Higher timeframe bias
Market volatility (ATR)
🔔 Alerts Ready
Instant BUY / SELL alerts
Perfect for automation & scalping workflows
🎯 Best Use Cases
Intraday trading
Scalping
Swing trading
Forex / Crypto / Indices
✅ Advantages
✔ Multi-layer confluence system
✔ Smart money + trend hybrid approach
✔ High-quality filtered signals
✔ Built-in SL/TP logic
✔ Clean and non-cluttered visuals
✔ Works across multiple timeframes
⚠️ Limitations
May produce fewer signals in low volatility markets
Not ideal for highly ranging/choppy conditions
Requires basic understanding of market structure for best results
💡 Pro Tips
Use during high liquidity sessions (London / New York)
Avoid sideways markets
Combine with key support/resistance zones
Focus on quality setups over quantity
🏁 Final Note
Liquidity Matrix Indicator is not just an indicator — it’s a decision-making framework built to help traders align with smart money behavior and execute with confidence.
⚠️ Disclaimer
This indicator is intended for educational and informational purposes only and does not constitute financial, investment, or trading advice.
Trading in financial markets, including forex, cryptocurrencies, and derivatives, involves substantial risk and may not be suitable for all investors. You may lose part or all of your invested capital.
Past performance, Back-testing results, or example trades shown using Liquidity Matrix Indicator do not guarantee future results. Market conditions can change rapidly, and no indicator can predict outcomes with certainty.
Users are solely responsible for their own trading decisions. It is strongly recommended to:
Use proper risk management
Test strategies on a demo account before live trading
Consult with a qualified financial advisor if needed
By using this indicator, you agree that the creator is not liable for any financial losses or damages incurred.
Indicator
SpxSnipper - Filtered Fair Value Gap (ATR Min/Max Filter)Filtered Fair Value Gap with ATR Size Filter is a visual market-structure study designed to highlight selected 3-candle Fair Value Gap areas directly on the chart.
The script identifies bullish and bearish imbalance zones based on a classic 3-candle Fair Value Gap structure, then applies additional filters to reduce noise and focus only on cleaner setups.
For a bullish Fair Value Gap, the script checks whether the low of the third candle is above the high of the first candle. The area between those two prices is marked as the bullish imbalance zone.
For a bearish Fair Value Gap, the script checks whether the high of the third candle is below the low of the first candle. The area between those two prices is marked as the bearish imbalance zone.
The first candle’s color is intentionally ignored. The logic focuses mainly on the second and third candles of the structure.
Additional filters include:
1. Candle direction filter
The second and third candles must follow the direction of the Fair Value Gap. For bullish structures, both candles must close above their open. For bearish structures, both candles must close below their open.
2. Second candle close-location filter
The second candle must close near the directional edge of its range. In bullish structures, it must close near the upper part of its candle range. In bearish structures, it must close near the lower part of its candle range.
3. Third candle close-location filter
The third candle must also close near the directional edge of its own range. This is intended to avoid structures where the third candle has a large opposite wick.
4. Midpoint confirmation
For bullish structures, the third candle must close above the midpoint of the second candle. For bearish structures, the third candle must close below the midpoint of the second candle.
5. ATR-based size filter
The Fair Value Gap size must be within user-defined minimum and maximum thresholds based on ATR. This helps filter out gaps that are too small or unusually large relative to recent volatility.
The script also includes an optional higher-timeframe lock feature. When enabled, the Fair Value Gap calculation can be locked to a selected timeframe, such as 5 minutes, while viewing a lower timeframe chart. This allows users to observe higher-timeframe imbalance zones without changing the active chart timeframe.
Main inputs:
- ATR Length
- Minimum FVG size as a percentage of ATR
- Maximum FVG size as a percentage of ATR
- Second candle close-location percentage
- Third candle close-location percentage
- Optional higher-timeframe lock
- Zone extension length
- Bullish and bearish zone colors
- Optional signal markers
This indicator is intended for visual analysis, market-structure study, and educational use. It does not provide financial advice, trading recommendations, or guaranteed outcomes. Users should combine it with their own analysis and risk-management process. Indicator
Indicator
Liquidity Magnet Compass [forexobroker]Liquidity Magnet Compass maps every swing high and swing low on the chart as a liquidity zone where stop orders tend to cluster -- Buy-Side Liquidity (BSL) above highs and Sell-Side Liquidity (SSL) below lows. It then watches for the signature "liquidity sweep" event: a bar that pierces an untaken zone with a wick of at least the configured size and (optionally) closes back through the swept level. Every sweep flips the zone from active to swept and prints a directional signal with a projected target.
This indicator is designed for smart-money and ICT-style traders who enter reversals immediately after stop hunts. The compass dashboard tracks the net liquidity pull -- how much untaken liquidity sits above versus below current price -- so you always know which direction the market is most likely to reach for next.
🔶 CONCEPTS
In institutional order flow, price often gravitates toward clusters of resting stop orders because those stops represent guaranteed fills for large participants. Equal highs and equal lows are the most obvious such clusters. When price "sweeps" one of these levels -- wicks through it, triggers the stops, then reverses -- a real reversal is often beginning. The compass reading quantifies which side has more untaken liquidity: if more zones sit above price, the market is magnetically pulled higher; if more sit below, pulled lower. Signals fire when a sweep confirms the opposite of the dominant pull -- a classic mean-reversion setup.
🔶 HOW IT WORKS
- Detects pivot highs as BSL zones and pivot lows as SSL zones using the configured pivot length
- Draws each zone as an extending horizontal line with a BSL or SSL tag
- Detects a sweep when the bar's high/low pierces an unswept zone by at least the Min Sweep Size (in ATR units)
- Flips the swept zone to dashed-gray, marks it ⊘, and counts it in total sweeps
- Fires BUY on a sell-side sweep with volume confirmation; SELL on a buy-side sweep with volume confirmation
- Projects target lines to the next unswept zone on the opposite side
🔶 HOW TO USE
1. Add the indicator -- every pivot prints as a horizontal BSL (pink) or SSL (cyan) line extending right
2. Watch the compass dashboard (top-right) for active zone counts, nearest zones, magnet strength, and the dominant direction arrow
3. Green BUY triangle with "SSL SWEEP ↑" label fires on a sell-side sweep that volume confirms; pink SELL triangle fires on a buy-side sweep
4. A target line draws from the signal bar to the next unswept opposite-side zone -- use this as T1
5. Tighten Min Sweep Size (ATR) to only catch clean, decisive sweeps; loosen it to catch smaller sweeps on faster timeframes
🔶 FEATURES
- Non-repainting signals (barstate.isconfirmed)
- Works on all timeframes and instruments
- 9 alert conditions with JSON webhook support
- Persistent liquidity zone tracking with automatic sweep detection
- Compass needle overlay at the right edge showing live cardinal magnet reading
🔶 SETTINGS GUIDE
- Pivot Length -- Lookback for swing high/low detection that defines a liquidity pool
- Max Active Pools -- Cap on simultaneously tracked zones
- Pool Lookback Bars -- Maximum zone age before expiration
- Min Sweep Size (ATR) -- Wick piercing must exceed this ATR fraction to qualify as a sweep
- Volume SMA Length -- Baseline for volume confirmation
- Volume Confirm Multiplier -- Sweep bar volume vs SMA; 1.0 accepts average volume
- Signal Cooldown Bars -- Minimum bars between consecutive signals
- Require Rejection Close -- Enforce classical sweep (close back through level); relax to accept any pierce
🔶 ALERTS
- LMC Buy SSL Sweep -- Sell-side liquidity swept with volume, buy signal fired
- LMC Sell BSL Sweep -- Buy-side liquidity swept with volume, sell signal fired
- LMC Any Signal -- Any directional sweep signal
- LMC Sell-Side Swept -- Sell-side liquidity swept (before volume filter)
- LMC Buy-Side Swept -- Buy-side liquidity swept (before volume filter)
- LMC Strong North -- North magnet strength reaches 75+
- LMC Strong South -- South magnet strength reaches 75+
- LMC New Pool -- A new liquidity zone formed (new pivot confirmed)
- LMC Webhook JSON -- Generic webhook payload for external automation
🔶 LIMITATIONS & DISCLAIMER
- This is a technical analysis tool, not financial advice. Always use proper risk management.
- Past liquidity sweeps do not guarantee future price movements.
- Pool detection depends on pivot confirmation, which lags by the pivot length; pools only appear after a pivot is confirmed.
- Magnet strength is a heuristic based on active-zone count and distance, not a statistically calibrated probability of reversal.
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Liquidation Tracker Pro v7 - Ultimate Portfolio & Risk DashboardLiquidation Tracker Pro v7 - Ultimate Portfolio & Risk Dashboard
Description:
Managing multiple leveraged positions across different assets can be chaotic. The Liquidation Tracker Pro v7 is designed to be your all-in-one on-chart command center. Whether you are scalping or managing long-term swing trades, this tool brings your entire portfolio's risk profile directly to your active chart.
Instead of constantly checking your exchange app, this indicator visualizes your entries, breakeven points, PnL, and exact liquidation levels (both Isolated and Cross margin) in real-time.
🌟 Key Features
Comprehensive Risk Dashboard: A highly optimized, customizable "Card-Format" UI that displays your account balance, margin utilization (%), and total PnL. It neatly organizes up to 6 manual positions.
Advanced Liquidation & Breakeven Math: Calculates precise Breakeven prices and Liquidation levels by factoring in your specific exchange's Maker/Taker fees and Maintenance Margin Rates (MMR). Includes built-in presets for Binance, Bybit, MEXC, OKX, and LBank.
Cross & Isolated Margin Tracking: Automatically calculates your liquidation points depending on whether your risk is isolated to the trade or shared across your account balance.
Unique Auto-Ladder Simulation: Planning to DCA (Dollar Cost Average) into a losing position? The built-in laddering feature lets you input a percentage to automatically calculate your newly diluted entry price and updated PnL, allowing you to visualize "saving" a trade before actually placing the orders.
On-Chart Visuals: Plots clean, dynamic lines and labels directly on your chart for Breakeven, Isolated Liquidation, and Cross Liquidation levels so you know exactly where your risk zones are.
Proximity Alerts: Set a custom safety threshold (e.g., 5%). If price action gets too close to your liquidation level, the indicator will fire an alert to warn you before the exchange does.
⚙️ How to Use
Configure General Settings: Enter your total account balance and select your exchange from the dropdown to ensure accurate fee calculations.
Input Your Positions: Open the indicator settings and input your current trades (up to 6). Toggle them "On" and input the Ticker, Long/Short direction, Leverage, Entry Price, and Margin used.
Customize the UI: Adjust the table position, text size, and background opacity to fit your chart layout. If you are tracking many positions, enable Landscape Mode to split the dashboard into dual tables and save vertical screen space.
💡 Who is this for?
This tool is perfect for multi-asset day traders, swing traders, and risk managers who need a crystal-clear, centralized view of their exposure and liquidation risks without leaving their PulseWire charts.
Disclaimer: This indicator is for informational and educational purposes only. Always verify your actual liquidation prices and margin requirements directly with your exchange, as API data and fast-moving markets can result in slight discrepancies. Indicator
Adaptive Friction Filter (AFF) [QuantAlgo]🟢 Overview
The Adaptive Friction Filter (AFF) identifies trending market conditions by applying a physics-inspired friction model to price movement. Rather than smoothing price through fixed averaging, it introduces a dynamic noise threshold derived from recent market volatility, which means price must generate enough force to overcome this threshold before the filter moves at all. Once breached, the filter closes the gap at a configurable rate, producing a step-like trend line that holds steady through noise and responds decisively to genuine directional moves. This allows traders to distinguish between meaningful trend continuation and low-conviction chop across any instrument or timeframe.
🟢 How It Works
The AFF's core methodology is built around a two-stage mechanism: a volatility-derived friction threshold that gates filter movement, and a catch-up scalar that governs how much of the gap the filter closes on each bar once that threshold is exceeded.
First, the friction threshold is computed as the simple moving average of absolute bar-to-bar price changes over the configured lookback window, scaled by the friction coefficient. This makes the threshold inherently self-adjusting; it widens during volatile conditions and contracts during quiet ones, without requiring any manual recalibration:
friction = ta.sma(math.abs(src - src ), lookback) * friction_mult
Next, the raw displacement between current price and the filter's last position is evaluated as force. The filter only advances if this force exceeds the friction threshold. When it does, the filter moves toward price by a fraction of the gap governed by the catch-up scalar, rather than closing the full distance immediately, producing a controlled and progressive response:
force = src - aff_line
aff_line := math.abs(force) > friction ? aff_line + force * catchup_scalar : aff_line
Trend direction is then resolved by comparing the current filter value to its prior bar value. The direction state persists when the filter is flat, so no transition is registered on bars where the filter does not move:
trend_dir := aff_line > aff_line ? 1 : aff_line < aff_line ? -1 : trend_dir
Finally, the filter is rendered as two overlapping plots at the same value: a step-line that traces the filter's path and a circle overlay positioned at each bar's filter value. The circles serve a visual purpose, reinforcing the current filter level at each step and making it easier to read the filter's position at a glance, particularly during flat periods where the step-line alone can be harder to track. Together they produce a dotted step appearance that improves legibility across different chart zoom levels and timeframes.
🟢 Signal Interpretation
▶ Bullish Trend (AFF Line Rising with Bullish Colour): When price generates enough upward force to exceed the friction threshold, the filter begins stepping higher and the line shifts to the bullish colour. The step-line rendering makes the transition visually clear; flat segments indicate bars where force was insufficient to move the filter, while upward steps reflect bars where it was. The bullish trend state persists until force in the downward direction is large enough to push the filter lower, at which point trend direction flips and the line shifts to the bearish colour.
▶ Bearish Trend (AFF Line Declining with Bearish Colour): When price generates enough downward force to exceed the friction threshold, the filter begins stepping lower and shifts to the bearish colour. As with the bullish state, the filter holds its last value on bars where force is insufficient to breach the threshold, and the direction state remains unchanged on those bars. A full reversal back to bullish requires upward force to exceed the friction threshold and push the filter higher, at which point trend direction flips and the colour transitions accordingly.
🟢 Features
▶ Preconfigured Presets: Three parameter sets cover a range of trading styles and timeframes. "Default" delivers balanced noise filtering for swing trading on 4-hour and daily charts. "Fast Response" lowers the friction threshold and accelerates the catch-up rate for intraday and scalping use on 5-minute to 1-hour charts, producing earlier filter movement in response to smaller price displacements. "Smooth Trend" raises the threshold and slows the catch-up rate for position trading on daily and weekly charts, requiring larger price displacements relative to the average noise level before the filter advances.
▶ Built-in Alerts: Three alert conditions support automated monitoring of trend transitions. "Bullish Trend Signal" fires on the first bar trend direction flips from bearish to bullish. "Bearish Trend Signal" fires on the first bar trend direction flips from bullish to bearish. "Any Trend Change" triggers on either transition for traders who want a single unified alert regardless of direction. All alerts include the exchange, ticker, and timeframe in the message for immediate context.
▶ Visual Customisation: Six colour presets, Classic, Aqua, Cosmic, Cyber, Neon, and Custom, provide coordinated bullish and bearish colour pairings suited to different chart themes and personal preferences. Selecting Custom exposes independent colour pickers for full manual control over both states. Optional bar colouring tints price candles with the active trend colour using a configurable transparency level, and optional background colouring extends the trend state tint across the full chart pane at a separately configurable transparency.
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Xer0's Dual Engine Ladder AllocatorOverview
This indicator is designed for long-term investors using a "Dual Engine" portfolio strategy on M1 Finance — mixing a broad-market index fund with a leveraged counterpart in the same Pie. Instead of guessing when to buy the dip, this script provides a systematic, step-by-step roadmap for increasing your leveraged allocation as the market falls, and resetting it as the market recovers.
How It Works
The strategy is built on "Sticky All-Time High" logic. It tracks the highest close price and calculates the current drawdown from that peak, then responds with one of three scenarios:
Ladder Down (Risk On): For every defined drop step (e.g. every -5%), the indicator signals a RISK UP event — automatically calculating your new target allocation to the leveraged slice of your Pie. This forces systematic, disciplined buying at lower prices.
Recovery Reset (Risk Off): Once the market recovers by a set percentage from the bottom, the script signals a RESET — returning your allocation to the base level and locking in the gains from the dip-buying phase.
Bull Step: When the market pushes into new high territory, the script tracks each new leg up and keeps your reference point current.
Key Features
Sticky ATH Tracking: Automatically calculates true drawdown from the cycle peak
Customizable Ladder Steps: Define your own drop trigger percentage and leverage increase per step
Max Cap: Hard ceiling on leverage exposure to protect against catastrophic drawdowns
Bar Confirmation: All signals fire on daily close to avoid intraday false triggers
Visual Dashboard: Bottom-right table showing current mode, target leverage, drawdown, and recovery price target
Alert Conditions: Built-in RISK UP and RESET alerts compatible with PulseWire's "Once Per Bar Close" setting
Backtested Performance (Simulated — Read Carefully)
The following results are from a Python backtest covering approximately 30 years (1996–2026), using $923/week in contributions every Friday. The strategy used two M1 Pies: Pie 1 (S&P 500 index fund / 3× S&P 500 ETF, base leverage 35%) and Pie 2 (Nasdaq-100 index fund / 3× Nasdaq-100 ETF, base leverage 25%). Tax assumptions reflect California state + federal rates for a $47K–$100K income bracket. Data prior to 2010 is synthetic, modeled from underlying index returns.
Results are hypothetical and do not represent actual trading. Past performance does not guarantee future results.
Ladder Strategy | VOO Benchmark
Total Contributed $1,395,576 | $1,395,576
Final Value (after-tax) $25,286,879 | $9,025,443
Total Return 1,711.9% | 546.7%
CAGR (on contributions) 10.1% | 6.4%
Max Drawdown -91.8% | -50.5%
Taxes Paid (CA) $5,358,907 | N/A (buy & hold)
Cash After Full Liquidation $23,500,189 | $7,171,385
The ladder strategy produced approximately 227.7% more after-tax cash than buy-and-hold VOO after full liquidation. However, the strategy experienced a maximum drawdown of -91.8% — meaning at its worst point, the portfolio lost nearly all of its value on paper. This level of volatility is not suitable for most investors and requires strong conviction and a long time horizon to hold through.
How to Use
Add this indicator to a Daily (1D) chart of your chosen index. Configure the inputs to match your risk tolerance — Base Leverage %, Drop Step %, and Max Cap %. Enter your M1 Pie name in the input field so alerts reference it by name. Set alerts using "Once Per Bar Close" and adjust your Pie allocation whenever a signal fires.
Disclaimer
This script is for informational and educational purposes only. It does not constitute financial advice. Backtested results are simulated and hypothetical — they do not account for all real-world frictions and should not be interpreted as a guarantee of future performance. Trading leveraged instruments involves significant risk, including the potential loss of your entire investment, and is not suitable for all investors. Indicator
Little Charts Pro [MMT]Little Charts Pro is a compact, multi‑timeframe overlay indicator for PulseWire that lets you embed small “mini‑charts” directly on your main chart, each showing price action, moving averages, CBC flip signals, Fair Value Gaps (FVGs), and order‑block‑style zones. It is designed to give you a quick, multi‑timeframe snapshot of trend, structure, and order‑flow context without cluttering your workspace.
What the indicator does
- Multiple mini‑charts
Displays up to six mini‑charts on the right side of your main chart, each representing a different timeframe (configurable from 5m up to W1).
Each mini‑chart shows candles, background box, and a compact timeframe label, all dynamically sized and positioned based on your layout settings.
- Moving averages & trend
Plots two custom MAs per mini‑chart (type and length configurable: EMA, SMA, WMA, HMA, DEMA, TEMA, SMMA) so you can instantly see trend direction and key dynamic levels on each higher timeframe.
- CBC flip arrows
Shows CBC‑style flip arrows when price closes above a prior high (bullish flip) or below a prior low (bearish flip), only on the state change. Arrows help you spot aggressive breaks in higher‑timeframe structure and changes in momentum.
- Fair Value Gaps (FVGs)
Automatically highlights bullish and bearish FVGs on each mini‑chart, with a user‑set maximum per chart to avoid visual overload. This helps you quickly identify where unfilled gaps in liquidity may attract price later.
- Order blocks (OBs)
Detects simple order‑block‑style zones (e.g., bullish OB when today’s close is above open while previous bar closed below its open) and shades them on the relevant mini‑chart. Labels can be toggled on/off for cleaner or more explicit structure.
Key customization features
- Layout & sizing
You can adjust mini‑chart width in bars, horizontal offset, horizontal gap between charts, overall vertical height scale, and a small vertical buffer percentage so the mini‑charts fit neatly without covering your main price.
- Multi‑timeframe selection
Each of the six mini‑charts can have its own timeframe and bar count (how many candles back to display), letting you mix intraday, daily, and weekly views in one indicator.
- Style & colors
Fully customizable:
Up / down candle colors.
Background and border colors for the mini‑chart boxes.
Text color for labels and MA/FVG/OB colors so the indicator can match your preferred chart theme.
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