DR.SS:Advanced Market PhaseTRADING ROADMAP WITH THIS INDICATOR
📊 UNDERSTANDING THE INDICATOR
Market Phases Explained:
Phase 0 (Red): Severe decline - AVOID BUYING
Phase 1 (Blue): Accumulation - PREPARE TO BUY
Phase 2 (Green): Strong uptrend - BEST TIME TO BUY
Phase 3 (Orange): Distribution - TIME TO SELL/TAKE PROFITS
Phase 4 (Maroon): Decline - SELL/SHORT OPPORTUNITIES
MA Zones:
20-50 Zone: Short-term momentum (bullish/bearish/compressed)
150-200 Zone: Long-term trend (bullish/bearish/compressed)
🚀 TRADING STRATEGY - STEP BY STEP
STEP 1: IDENTIFY MARKET PHASE
Check the background color & label:
Green Background = Phase 2 (Best for buying)
Blue Background = Phase 1 (Look for entry opportunities)
Red/Orange/Maroon = Phase 0,3,4 (Avoid buying, consider selling)
STEP 2: CHECK SIGNAL STRENGTH
Look for signals on chart:
🔺 Green Triangle = Strong Buy (Strength ≥ 2)
🟢 Green Circle = Weak Buy (Strength = 1)
🔻 Red Triangle = Strong Sell (Strength ≥ 2)
🟠 Orange Circle = Weak Sell (Strength = 1)
Signal Strength Scale (1-7):
1-2: Weak signal (caution)
3-4: Moderate signal
5-7: Strong signal (best)
STEP 3: CONFIRM WITH MA ZONES
In the label, check:
"20-50 Zone: Bullish" + "150-200 Zone: Bullish" = Strongest confirmation
"Both MA Zones Bullish" = Maximum confidence
Zone Compression = Potential breakout coming
STEP 4: CHECK PRICE POSITION VS MAS
In label:
">20/>150/>50/>200" = All MAs aligned bullish (strong trend)
"<20/<150/<50/<200" = All MAs aligned bearish (strong downtrend)
Mixed = Sideways/choppy market
🎯 SPECIFIC TRADING SCENARIOS
SCENARIO 1: STRONG BUY (BEST)
Conditions:
Phase 2 (Green background)
Strong Buy signal (Green triangle)
Both MA Zones Bullish
Price > All MAs (">20/>150/>50/>200")
Signal Strength ≥ 4
Action:
Enter LONG position
Set stop loss below 200 MA
Target: Next resistance level
SCENARIO 2: EARLY ACCUMULATION BUY
Conditions:
Phase 1 (Blue background)
Weak Buy signal (Green circle)
150-200 Zone Bullish (long-term support)
20-50 Zone Compressed (potential breakout)
RSI > 45 and MACD improving
Action:
Small LONG position
Tight stop loss
Scale in as Phase 2 confirms
SCENARIO 3: SELL/TAKE PROFIT
Conditions:
Phase 3 (Orange background)
Sell signal (Red triangle/circle)
Price < Weekly MA(30)
Negative MACD Histogram
RSI crossed below 60
Action:
Exit LONG positions
Take profits
Consider SHORT if other bearish confirmations
SCENARIO 4: AVOID/EXIT
Conditions:
Phase 0 or 4 (Red/Maroon background)
Both MA Zones Bearish
Price < All MAs
RSI < 40, MACD < 0
Action:
NO BUYING
Exit all LONG positions
Consider SHORT positions
⚙️ RISK MANAGEMENT
Position Sizing:
Strong Signal (5-7): 2-3% risk per trade
Moderate Signal (3-4): 1-2% risk per trade
Weak Signal (1-2): 0.5-1% risk per trade
Stop Loss Placement:
LONG: Below 200 MA OR below recent swing low
SHORT: Above 200 MA OR above recent swing high
Tight SL: When MA zones are compressed
Wider SL: When strong trend confirmed
Take Profit Levels:
TP1: 1:1.5 Risk:Reward (exit 50% position)
TP2: 1:3 Risk:Reward (exit remaining 50%)
Trailing Stop: When Phase 3 signals appear
📈 ENTRY TRIGGERS
Buy Entry (Best):
Phase 2 confirmed + Strong Buy signal
Price breaks above Weekly MA(30)
Volume spike on breakout
Candle closes above 20 MA
Sell/Short Entry:
Phase 3 or 4 confirmed + Sell signal
Price breaks below Weekly MA(30)
Increasing volume on breakdown
Candle closes below 20 MA
🔄 TRADE MANAGEMENT
During Trade:
MONITOR DAILY:
Market Phase changes
MA Zone status changes
New signal appearances
Price vs MA relationships
Exit Rules:
EXIT LONG WHEN:
Phase changes to 3 or 4
Sell signal appears
Price closes below 200 MA
Both MA Zones turn Bearish
EXIT SHORT WHEN:
Phase changes to 1 or 2
Buy signal appears
Price closes above 200 MA
Both MA Zones turn Bullish
📊 EXAMPLE TRADE JOURNAL
Date Phase Signal Zones Strength Action Result
MM/DD 2 Strong Buy Both Bullish 6/7 Long Entry +3.2%
MM/DD 1 Weak Buy 150-200 Bullish 3/7 Small Long +1.5%
MM/DD 3 Strong Sell 20-50 Bearish 5/7 Exit All Saved -2%
🎓 PRO TIPS
Patience is Key: Wait for Phase 2 with strong signals
Multiple Confirmations: Never trade on just one signal
Weekly MA is King: Weekly MA(30) is your trend filter
Zone Alignment: Best trades when both MA zones agree
Strength Matters: Higher signal strength = higher probability
Avoid Choppiness: When MAs are mixed, stay out
Watch Transitions: Phase 1→2 and Phase 2→3 are critical
⚠️ WARNING SIGNS
DO NOT BUY WHEN:
Red/Maroon background (Phase 0/4)
Both MA Zones Bearish
Price below all MAs
RSI < 40, MACD < 0
No Buy signals on chart
DO NOT SELL/SHORT WHEN:
Green background (Phase 2)
Both MA Zones Bullish
Price above all MAs
RSI > 60, MACD > 0
Buy signals still appearing
✅ QUICK CHECKLIST BEFORE TRADING
What's the Market Phase? (2 = Best)
Any Buy/Sell signals on chart?
Signal Strength? (≥3 for trade)
MA Zones status? (Both Bullish = Best)
Price position vs MAs? (Above all = Strong)
Weekly MA direction? (Price > Weekly MA = Bullish)
Risk:Reward calculated? (Min 1:1.5)
Position size appropriate for signal strength?
Trend Analysis
Resampling Reverse Engineering Bands XRREB X: Visual Oscillator Projection Bands
Based on the innovative "Resampling Reverse Engineering" concept pioneered by Donovan Wall, this enhanced script fixes the core mathematical symmetry and provides anchored, non-repainting bands for reliable analysis.
This indicator transforms any RSI, Stochastic, or CCI calculation directly onto your price chart as dynamic support/resistance bands. Instead of watching an oscillator below your chart, you see its overbought/oversold levels projected as price levels the market must reach.
RREB X reverses standard oscillator formulas to answer one question: "What price must the market reach for my chosen oscillator to hit an extreme level like RSI=70, Stoch=80, or CCI=100?" It then plots these levels as actionable bands.
Key Improvements
Adjustable Oscillator Values - While the original was hard coded the reverse engineered oscillator length which limited its usefulness, this script finally allows you to visualize any length oscillator as dynamic OB/OS regions directly on the chart.
Dynamic OB/OS levels: This version also lets you dynamically adjust the OB/OS levels location, making bands tighter or wider as your strategy demands.
Mathematical Symmetry: Outer bands are perfect mirrors, providing reliable projected levels.
Fixed Anchoring: Bands don't repaint historically, offering stable reference lines.
Direct Price Translation: Oscillator overbought/oversold conditions are visualized as clear price levels.
The Band Calculation Type switch lets you project different oscillator logics, each with unique characteristics for different market conditions.
RRSI - General trend & momentum. Change RSI Period (e.g., 7 for fast, 21 for slow). Adjust OB/OS (e.g., 80/20 for strong trends). The bands show the price needed to push your custom RSI into overbought/oversold territory.
RStoch - Ranging markets & short-term reversals. Focus on the Stochastic Period. The projected bands are highly sensitive to recent highs/lows. Excellent for spotting reversals at the edges of a range.
RCCI - Strong trends & volatile markets. Use a higher Outer Bands Multiplier. CCI's lack of upper/lower bounds means bands reflect extreme momentum shifts. Great for identifying explosive breakout or breakdown levels in trends.
Use Middle Band as Filter: Price above the white middle band suggests a bullish bias for long setups; below suggests bearish for shorts. Same as the 50 midline on the RSI or Stochastic or 0 for CCI.
Customizing the Calculation:
The power lies in changing the oscillator lengths that the bands reflect. Adjust these in the settings:
Change from 14 to 7 for faster, more reactive bands, or to 21 for slower, smoother bands.
Overbought/Oversold: Change from 70/30 to 80/20 for stronger-trend filters, or to 60/40 for more frequent signals.
Trading the Bands:
Bands as Dynamic S/R: The solid cyan (Upper 100) and magenta (Lower 0) bands act as dynamic support and resistance. A touch and reversal can signal a trade.
Gradient as Momentum: The colored fills between bands visually represent the "pressure" needed to reach the next oscillator level.
Middle Band as Trend Filter: Price above the white middle band suggests a bullish bias for long setups; below suggests bearish for short setups.
IVX: Institutional Velocity X-Ray [Ash_TheTrader]The Intrabar Liquidity X-Ray: Seeing Institutional Speed Inside the Candle ⚡🐢
Stop getting trapped by standard candlesticks. It’s time to see how fast the money is actually moving.
A standard candlestick tells you four things: Open, High, Low, and Close. It’s the foundation of technical analysis.
But it hides the most important metric of all: Speed.
Two bullish 1-Hour candles can look identical on your chart. Both opened at $100 and closed at $105.
Candle A hit $105 in the first 5 minutes, then spent 55 minutes holding that level.
Candle B ground slowly upwards, finally hitting $105 in the 59th minute.
To a standard indicator, these candles are the same. To a professional trader, they are opposites. One shows aggressive, front-loaded institutional buying; the other shows weak, exhausted retail grinding.
As @Ash_TheTrader, I developed the Intrabar Liquidity X-Ray to solve this problem. It stops looking at the surface of the candle and looks inside it.
🧠 The Concept: Time-To-Form
This indicator uses advanced Pine Script technology to conduct an "X-Ray" scan of the bar you are looking at.
If you are on a 1-Hour chart, the script uses request.security_lower_tf to fetch the data of the 60 individual 1-minute bars hidden inside that single hour bar.
It then asks a critical question: How long did it take for this candle to achieve its ultimate High or Low?
In a Bullish candle, we measure the time it took to hit the specific minute of the bar's High.
In a Bearish candle, we measure the time it took to hit the specific minute of the bar's Low.
By measuring this "Time-To-Form," we can classify the intent behind the move.
⚡ The "Fast" Candle (Institutional Aggression)
When smart money wants to move an asset, they don't wait all day. They execute large block orders that move price rapidly to their desired level, and then they defend it.
The Signal: The indicator identifies a bar as "Fast" if it hits its High (for bulls) or Low (for bears) in the first 20% of the candle's duration.
The Visual: The bar turns Neon Cyan and is marked with a lightning bolt ⚡.
Interpretation by @Ash_TheTrader: This is urgent liquidity. Institutions are front-loading their orders. These levels are often strong zones of support or resistance on retests because the big players showed their hand early.
🐢 The "Slow" Candle (Retail Grind)
Conversely, when a move is driven by retail traders chasing price, or when a trend is exhausted, price struggles to make new extremes. It grinds slowly, taking the entire duration of the candle just to inch slightly higher or lower.
The Signal: The indicator identifies a bar as "Slow" if it takes more than 80% of the candle's duration to finally reach its High or Low.
The Visual: The bar turns Orange and is marked with a turtle 🐢 beneath it.
Interpretation by @Ash_TheTrader: This is "weak" movement. Even if the candle is green, if it took 58 minutes of a 60-minute bar just to make a new high, the buyers are exhausted. Be wary of reversals after seeing a cluster of 🐢 candles.
💻 Features and The Dashboard
To make this data actionable in real-time, I have engineered a clean Heads-Up Display (HUD) directly on the chart.
The On-Chart Dashboard: Located in the top right, the dashboard gives you the live stats of the current forming bar. It tells you exactly what percentage of the time has passed and whether the current structure is considered Institutional ⚡ or a Retail Grind 🐢.
Other Features:
Dual Polarity Logic: Works seamlessly for both bullish trends (tracking speed to Highs) and bearish trends (tracking speed to Lows).
Smart Volume Filtering: The indicator automatically ignores insignificant low-volume "noise" bars, only highlighting speed on candles with above-average volume.
Full Alert Capability: Set alerts for "Fast ⚡" detections to catch sudden institutional activity as it happens.
⚙️ Best Practices for Using This Tool
Because this tool looks inside a bar, it is designed to be used on Higher Timeframes.
Recommended Timeframes: 30-Minute, 1-Hour, 4-Hour, or Daily charts.
Do Not Use On: 1-Minute or 5-Minute charts. (You cannot effectively "X-Ray" a 1-minute bar using 1-minute data; the math doesn't work).
A Final Note from @Ash_TheTrader
Trading is about information asymmetry. The market hides the most valuable data beneath the surface of the Open and Close. Use the Intrabar Liquidity X-Ray to stop guessing the speed of the market and start seeing it.
Trade safe, trade smart.⚡
Multiple Horizontal Lines_SanHorizontal lines can be drawn with given coordinates with defined intervals
Daily Levels [cryptalent]Daily High / Low / Mid / Open Levels is a session-based reference indicator designed to visualize key daily price levels directly on the chart.
This indicator automatically plots the Daily High, Daily Low, Daily Midpoint (High + Low / 2), and Daily Open as horizontal lines for each trading day. These levels help traders quickly identify important structural prices where liquidity, reactions, or acceptance often occur.
Key Features
Automatic Daily Levels
Plots Daily High (H), Low (L), Mid (M), and Open (O) using higher-timeframe daily data.
Levels update in real time as the current day develops.
Multi-Day History
Displays daily levels for a configurable number of past days.
Older levels are automatically removed to keep the chart clean.
Line Extension
Current day levels can be extended forward by a user-defined number of bars.
Useful for projecting intraday reaction zones and liquidity targets.
Visual Customization
Independent line width and color settings for each level.
Mid level is shown as a dashed line for quick visual distinction.
Labels & Price Tags
Optional letter labels (H / L / M / O) displayed near the extended levels.
Optional price labels showing the exact level values on the right side of the chart.
Labels update dynamically and only display for the active trading day.
Performance-Oriented Design
Efficient line and label management using arrays.
Automatically cleans up unused objects to stay within TradingView limits.
Use Cases
Identifying intraday support and resistance
Tracking daily range behavior
Monitoring mean reversion vs. range expansion
Aligning intraday execution with higher-timeframe structure
This indicator is particularly useful for traders who rely on market structure, session behavior, and objective price references rather than subjective trend lines.
The Physics Engine [@Ash_TheTrader]🏛️ Welcome to the Physics of Finance
By @Ash_TheTrader
Traditional technical analysis often relies on "lagging" indicators. Tools like the RSI or moving averages tell you where price has been. While useful, they are like driving a car looking only in the rearview mirror.
The Kinematic Impulse Engine (KIE) is different. It is designed to be a leading indicator of momentum shifts.
It doesn't just look at price; it treats price action like a physical object moving through space to measure its Velocity (Speed), Acceleration (G-Force), and Mass (Volume). By understanding the physics behind a move, we can determine if a trend is a powerful impulse or an exhausted drift waiting to reverse.
⚛️ The Core Concept: Trading with G-Force
If you step on the gas pedal in a car, you feel pushed back into your seat. That is acceleration (positive G-Force). When you slam on the brakes, you are thrown forward. That is deceleration (negative G-Force).
The market works the same way.
Standard momentum indicators only measure speed. The KIE measures how fast that speed is changing.
The Problem with Standard Indicators: Price can be moving higher (high speed), but the rate at which it is moving higher is slowing down (deceleration). A standard indicator will still look bullish right up until the reversal happens.
The KIE Solution: The KIE detects that deceleration instantly, warning you that the "G-Force" pushing the price up has vanished, often before the price peaks.
🎨 Visual Decoder: Reading the Heatmap
We have eliminated the need to stare at complex oscillator lines below your chart. The KIE paints the candles directly based on their "Kinetic Energy."
1. Neon Cyan : The Impulse (High G-Force) 🚀
Physics State: High Velocity + Positive Acceleration.
Meaning: The market has "pedal to the metal." Buyers are aggressive, and the move is speeding up. This is where you want to be in a trade.
Signal: Look for the small triangles (🚀) marking the start of these impulse moves out of the noise.
2. Deep Purple : Exhaustion (Braking) 🛑
Physics State: High Velocity + Negative Acceleration (Deceleration).
Meaning: The car is still moving forward fast, but the driver has taken their foot off the gas or hit the brakes.
Signal: This is a massive warning sign. If you are long and candles turn purple, the trend is running on fumes. Expect consolidation or a reversal soon.
3. Dark Gray : Equilibrium (Chop) 💤
Physics State: Low Velocity.
Meaning: No significant energy present. The market is chopping sideways.
Signal: Stay out of the market or use range-bound strategies.
⚠️ Unique Feature: Gravity Divergence Detection
This is the most powerful feature of the Kinematic Impulse Engine. It detects when price action is defying the laws of physics.
Imagine throwing a ball into the air. As it reaches the very peak of its arc, it is still moving upward, but gravity is decelerating it rapidly just before it falls back down.
The KIE detects this exact moment in the market:
Gravity Sell Signal: Price makes a new high, but Acceleration (G-Force) crashes rapidly. The market is fighting gravity and will likely snap back.
If you see a "GRAVITY" label pop up on a Deep Purple candle at a high, take notice.
🧠 The Engine Room (Under the Hood)
For the technical traders, here is how @Ash_TheTrader designed the engine:
Relative Velocity: Price changes are normalized against Average True Range (ATR) volatility. A $10 move in Bitcoin is not the same as a $10 move in a penny stock; the KIE adjusts for this automatically.
Mass Integration (Volume Weighting): In physics, Force = Mass x Acceleration. The KIE optionally uses relative Volume as "Mass." A move backed by high volume has more "weight" and is harder to stop than a low-volume move.
The HUD: The on-screen dashboard gives you real-time readings of the current Velocity and raw G-Force metrics, along with an instant trend status summary.
🛡️ How to Use This in Your Trading
The Breakout Trader: Wait for gray candles (chop). Enter when the first Neon Cyan candle appears, ideally accompanied by an Impulse Triangle (🚀). Ride the cyan until it turns purple.
The Reversal Trader: Wait for an extended run of cyan candles. When the candles turn Deep Purple and you see a "GRAVITY" warning label, look for shorting opportunities as the momentum is exhausted.
Trade smart. Trade with physics.
Developed by @Ash_TheTrader
Quantum Darvas BoxesQuantum Darvas Boxes - The Modern Evolution
The original Darvas Box methodology, conceived by Nicolas Darvas in the 1950s, revolutionized breakout trading by identifying consolidation phases as "boxes." However, modern markets move with algorithmic speed and fractal volatility that often trigger false breakouts. Quantum Darvas Boxes were designed not as a nostalgic tribute, but as a computational upgrade. By anchoring boxes to volatility-adjusted boundaries rather than raw highs/lows, and introducing adaptive stability mechanisms, this indicator transforms a classic discretionary tool into a systematic, noise-filtered engine.
Description & Improvements
Quantum Darvas Boxes solve the three fatal flaws of the original: false breakouts, arbitrary box sizing, and lack of confirmation. Instead of drawing boxes at exact recent highs/lows, it creates volatility-buffered boundaries using ATR, ensuring breakouts require meaningful momentum. The boxes remain anchored until a confirmed close beyond the buffer occurs, preventing the constant redrawing that plagued traditional Darvas implementations. Built-in volume and RSI filters add discretionary-grade confirmation to pure price action. Visually, the system presents as a stable, semi-transparent blue zone between red (resistance) and lime (support) lines, with clear triangle signals appearing only on validated breakouts.
How It's Based on Darvas
The core philosophy remains true to Darvas' 1950s methodology:
Identify Consolidation: Finds price ranges where the market consolidates
Draw Box: Creates a "box" representing the accumulation zone
Breakout Trading: Enters when price breaks out of the box with momentum
Volatility-Adjusted Boundaries
Original: Boxes at exact highs/lows → prone to false breakouts
QDB: Boxes set at High - (ATR × Multiplier) and Low + (ATR × Multiplier)
→ Breakouts require meaningful momentum, not just price tags
→ Adapts to different volatility regimes
Signal Logic:
Long: Close above box top, previous close was inside box
Short: Close below box bottom, previous close was inside box
Ideal Settings:
For daily charts, use lookback=13 and mult=2.4.
For intraday (1H-4H), reduce to lookback=8 and mult=1.8. Enable volume filter in trending markets and RSI filter in ranging conditions.
Trade Execution: Enter long on the green triangle below the bar following a close above the red top line; enter short on the red triangle above the bar after a close below the lime bottom line. The background glow provides immediate visual confirmation.
Risk Management: Set stops at the opposite box boundary. The volatility multiplier inherently calculates a risk buffer—larger multipliers create wider, higher-conviction boxes; smaller multipliers produce more frequent, sensitive signals. This system excels in trending markets and provides clear exit/reversal points, transforming Darvas's original speculation into a quantified, repeatable edge.
Liquidity X-Ray: Whale Traps [@Ash_TheTrader]👁️ Liquidity X-Ray: The Institutional Edge
Stop Trading Blind. See Inside the Candle.
Ninety percent of retail traders only see the outer shell of a candlestick—the Open, High, Low, and Close. They are trading blind to the actual battle that took place during that candle's formation.
Institutions, however, use expensive Order Flow software to see where aggressive buying or selling is happening in real-time.
The Liquidity X-Ray Strategy, developed by @Ash_TheTrader, levels the playing field. It uses advanced Intrabar Analysis to simulate institutional order flow footprints directly on your TradingView chart, automating powerful reversal signals based on "Absorption."
🧠 The Concept: Intrabar Analysis & Delta
How does it work?
Imagine a single 1-Hour candle. Inside that candle, there are sixty 1-Minute candles hidden from view.
This strategy performs an "X-Ray" scan. It tunnels into the lower timeframes (e.g., 5-minute data inside a 1-hour bar) to calculate the Net Delta—the difference between aggressive buying volume and aggressive selling volume.
Cyan Candles: Indicate that aggressive buyers (hitting the Ask) won the internal battle.
Magenta Candles: Indicate that aggressive sellers (hitting the Bid) won the internal battle.
But knowing who won isn't enough. The real edge comes from identifying Absorption.
🎯 The Signals: Detecting Traps & Shields
The core philosophy of this strategy by @Ash_TheTrader is simple: Identify where high effort yields low results.
When massive volume comes in, but price refuses to move, it means one side is being "absorbed" by a larger player. This is often the precursor to a violent reversal.
1. The Bear Trap (🪤)
What you see: A candle with massive volume and aggressive internal buying (positive Delta), yet the candle body remains small and fails to push price significantly higher.
The Psychology: Retail traders are FOMO-buying aggressively at a high. Institutional "Whales" are sitting on the other side, passively selling into this demand, absorbing all the buy orders without letting price rise.
The Result: Once the buyers are exhausted, the trap snaps shut, and price reverses downward.
Strategy Action: Enters a SHORT position.
2. The Bull Shield (🛡️)
What you see: A candle with massive volume and aggressive internal selling (negative Delta), yet the candle body remains small and fails to push price lower.
The Psychology: A "Stop Run" is occurring. Retail traders are panic-selling. Smart money is stepping in like a shield, absorbing all the sell pressure at a fixed level.
The Result: Once the sellers are exhausted, there is no one left to sell, and price rallies upward.
Strategy Action: Enters a LONG position.
⚡ Strategy Features & The Viral Dashboard
This isn't just an indicator; it's a complete, automated trading system.
Automated Execution: The script takes the trades for you when a Shield or Trap is confirmed upon candle close.
Smart Risk Management: It automatically places Stop Losses beyond the wick of the signal candle and targets a default 2:1 Risk/Reward ratio.
The Live Performance Panel: Look at the top right of your chart. The strategy features a built-in, professional-grade dashboard that displays real-time statistics. You can instantly see the strategy's Win Rate and Net Profit over the current historical data.
"Numbers don't lie. Don't just guess if a setup works; watch the win rate adjust in real-time." — @Ash_TheTrader
🛠️ How to Use This Strategy
For the best results, follow these institutional guidelines:
Timeframe: This strategy is most effective on Higher Timeframes where institutional volume is dominant. We recommend the 1-Hour (1H) or 4-Hour (4H) charts.
Intrabar Resolution (Settings): In the strategy settings, ensure the "Intrabar Resolution" is set lower than your chart timeframe. The default is 5 minutes, which is ideal for scanning inside 1H or 4H candles.
Confluence: While the strategy can be traded standalone, the best signals often occur near major support/resistance zones or key Fibonacci levels.
⚠️ Disclaimer
This strategy uses request.security_lower_tf to perform its calculations. While highly accurate, past performance on the dashboard does not guarantee future results. Always manage your risk responsibly.
Trade smart. See the liquidity.
~ @Ash_TheTrader
Take Profit XTake Profit X
Take Profit X solves the #1 problem in trading: knowing when to exit. Instead of guessing or using single indicators, it aggregates 8 technical signals to identify high-probability exit points through multi-confirmation consensus. This eliminates premature exits and emotional decision-making.
The indicator counts confirmations from your chosen technical tools:
Green dot = Multiple signals say "take profit on longs/exit shorts"
Red dot = Multiple signals say "take profit on shorts/exit longs"
Signals appear when you reach the minimum confirmations threshold you set.
Possible Settings:
Conservative (Swing Trading)
pine
Minimum Confirmations: 4
Use: RSI, MACD, CCI, Supertrend, Price Action
Disable: Stochastic, Bollinger Bands, EMA Cross
Look Back Bars: 10
Aggressive (Day Trading)
pine
Minimum Confirmations: 2
Use: All indicators ON
Look Back Bars: 3-5
RSI OB/OS: 75/25
Balanced (Most Markets)
pine
Minimum Confirmations: 3
Use: RSI, MACD, CCI, Supertrend
Price Action: ON
Look Back Bars: 5-7
Ultimate Reversion BandsURB – The Smart Reversion Tool
URB Final filters out false breakouts using a real retest mechanism that most indicators miss. Instead of chasing wicks that fail immediately, it waits for price to confirm rejection by retesting the inner band—proving sellers/buyers are truly exhausted.
Eliminates fakeouts – The retest filter catches only genuine reversions
Triple confirmation – Wick + retest + optional volume/RSI filters
Clear visuals – Outer bands show extremes, inner bands show retest zones
Works on any timeframe – From scalping to swing trading
Perfect for traders tired of getting stopped out by false breakouts.
Core Construction:
Smart Dynamic Bands:
Basis = Weighted hybrid EMA of HLC3, SMA, and WMA
Outer Bands = Basis ± (ATR × Multiplier)
Inner Bands = Basis ± (ATR × Multiplier × 0.5) → The "retest zone"
The Unique Filter: The Real Retest
Step 1: Identify an extreme wick touching the outer band
Step 2: Wait 1-3 bars for price to return and touch the inner band
Why it works: Most false breakouts never retest. A genuine reversal shows seller/buyer exhaustion by allowing price to come back to the "halfway" level.
Optional Confirmations:
Volume surge filter (default ON)
RSI extremes filter (optional)
Each can be toggled ON/OFF
How to Use:
Watch for extreme wicks touching the red/lime outer bands
Wait for the retest – price must return to touch the inner band (dotted line) within 3 bars
Enter on confirmation with built-in volume/RSI filters
Set stops beyond the extreme wick
Order Blocks v2This is a short code script that shows you a REAL Order Blocks.
There is many indicators that show you random blocks on the screen, these are by definition Order Blocks. The code is simple and short.
You can use this indicator as an extra confluence or as a place to put your stop losses or to put your stop losses in profit.
I recommend always keeping the "Consider order block only with following FVG" on, as the best Order Blocks are found with that setting on.
I have a lot more code i can share, use this and let me know how it works for you!
THE SETTINGS I USE ARE:
(NO) Only show on on time levels 3,7,11,14
fractal bars 3
Order blocks on break of Fractal close or HL Close
(YES) Consider order block only with following FVG
Max distance of FVG following Order Blocks 2
Oder Block Height Body
Dotted 13 length and 3 width
AI AAdaptive Supertrend ChannelAI Supertrend Channel – The Adaptive Trend System
Beyond Basic Supertrend: An Intelligent Trading Framework
The AI Adaptive Supertrend Channel transcends traditional trend following indicators by delivering a self-optimizing trading system. Its core innovation is a triple-adaptive engine that automatically adjusts channel width based on real-time market conditions:
Market Efficiency Detection – Widens during clean trends, tightens in choppy ranges
Normalized Volatility – Scales appropriately to any asset's price level
Dynamic Momentum Response – Expands aggressively during powerful directional moves
The Result: A smarter tool that reduces false signals in consolidation while giving trends ample room to run—eliminating the constant parameter tweaking required by static indicators.
Visual Signal Framework & Strategic Applications
Channel Architecture:
Primary Trend Line (Thick Green/Red): Your dynamic trailing stop and core trend indicator. Green signals an uptrend (buying bias), Red signals a downtrend (selling bias).
Upper & Lower Bands: Form a dynamic support/resistance channel around the trend.
Mid-Line: A critical mean reversion level and the trigger for key early signals.
Trading Signals & Strategic Meaning:
Primary Signal: Momentum Diamonds (High Conviction)
💎 Green Diamond (Higher High): Price closes above the Upper Band after making a new high. Signals strong bullish momentum continuation. Ideal for adding to long positions or entering new longs in an established uptrend.
💎 Red Diamond (Lower Low): Price closes below the Lower Band after making a new low. Signals strong bearish momentum continuation. Ideal for adding to short positions or entering new shorts in a downtrend.
Secondary Signal: Mid-Line Crosses (Early Action)
🔼 Green Triangle (Bullish Mid-Line Cross - bullMidCross): Price crosses above the Mid-Line. This is an early bullish pullback signal within a larger uptrend or a potential early reversal sign in a downtrend. Use for early entries or to confirm the end of a bearish pullback.
🔽 Red Triangle (Bearish Mid-Line Cross - bearMidCross): Price crosses below the Mid-Line. This is an early bearish pullback signal within a larger downtrend or a potential early warning of weakness in an uptrend. Use for early short entries or to take profits on longs.
Practical Trading Strategies
Trend Following: Align trades with the Primary Trend Line color. Use the line itself as a dynamic stop-loss. The Momentum Diamonds confirm the trend's strength.
Pullback Trading: Use the Mid-Line Cross triangles (bullMidCross/bearMidCross) to identify high-probability entries during trend retracements. The channel bands provide natural profit targets.
Breakout Confirmation: A Momentum Diamond following a period of consolidation often confirms a genuine breakout, offering a signal to enter with the new momentum.
Optimal Settings Guide
Default (Universal)
For most markets, timeframes
ATR: 13 | ER: 144 | Channel Width: 0.7
Volatility Factor: 100 | Vol MA: HMA | Trend MA: EMA
Day Trading (Fast, Responsive)
*15M-1H charts, scalping*
ATR: 8 | ER: 89 | Channel Width: 0.6
Volatility Factor: 120 | Vol MA: EMA | Trend MA: WMA
*Swing Trading (Smooth, Conservative)*
*Daily-Weekly, position trading*
ATR: 21 | ER: 200 | Channel Width: 0.9
Volatility Factor: 80 | Vol MA: HMA | Trend MA: LINREG
Channel Width × Factor
0.5-0.7 → Tighter (more signals, less room)
0.8-1.2 → Wider (fewer signals, more room to run)
Volatility Regime Factor
50-80 → Less sensitive to volatility (stable markets)
100-150 → More sensitive (volatile markets like crypto)
Base ATR Length
8-13 → Faster signals (lower timeframes)
17-21 → Smoother signals (higher timeframes)
Quick Adjustments:
Whipsaws → Increase Channel Width × Factor
Lagging → Decrease ATR Length
Volatile markets → Increase Volatility Regime Factor
Start with Default, adjust one parameter at a time based on your market and trading style.
AlphaGen ME V.15.12AlphaGen ME V.15.10 is an ATR-based trend-following strategy with dynamic trailing stops and EMA filter, designed for automated Crypto perpetual trading.
Core Logic:
• ATR Trailing Stops: Dynamically adjusts stop-loss using ATR(10) × 3.0 multiplier
• 200 EMA Trend Filter: Optional Only takes longs above EMA, shorts below EMA
• Reversal System: Flips positions when trend changes (filter-aware)
• MACD Acceleration Exit: Optional momentum-based profit taking
Position Sizing Modes:
• Simple % of Equity (default 90%) - Safe leverage control
• Risk % of Equity - Fixed risk per trade
• Fixed Contract Size - Consistent lot sizing
Webhook Integration:
Routes signals directly to AlphaGen-AI for execution on:
• Hyperliquid DEX
• AsterDEX
Requirements:
• AlphaGen-AI Pro subscription for webhook routing
• Hyperliquid or AsterDEX Wallets
• TradingView alerts configured with passphrase
Risk Disclosure: Trading involves substantial risk. Past performance does not guarantee future results. Only trade with capital you can afford to lose.
8.2 PRO @Mavrick8.2 PRO @Mavrick is a professional-grade predictive momentum indicator designed for traders who want early, high-confidence entries.
It intelligently combines trend structure, volume behavior, RSI, MACD, and price velocity to anticipate market moves before they fully develop. The indicator features auto-adaptive targets for BTC, ETH, SOL, and altcoins, advanced fake pump/dump detection, and an early momentum warning system to stay ahead of reversals.
A clean smart signal table displays real-time market strength, confidence levels, and actionable BUY/SELL readiness.
Best performance in strong trends and high-volume environments.
Ultimate Trading System - DMA/EMA + Volume + Chart PatternsOVERVIEW
Ultimate Trading System (UTS) is a comprehensive technical analysis tool that combines multiple analysis methods into one powerful
indicator. It detects market structure, identifies chart patterns, analyzes volume, and provides actionable trade recommendations.
FEATURES
17 MOVING AVERAGES
• 6 DMAs (Simple): 5, 10, 20, 50, 100, 200
• 11 EMAs (Exponential): 5, 8, 9, 12, 20, 21, 34, 50, 100, 180, 200
• Smart labels with price values
• Golden Cross / Death Cross detection
CHART PATTERN DETECTION
• Triangles: Ascending, Descending, Symmetrical
• Reversals: Head & Shoulders, Double Top, Double Bottom
• Continuation: Bull Flag, Bear Flag
• Confidence scores for each pattern
VOLUME ANALYSIS
• Relative volume vs 20-period average
• Volume trend detection (rising/falling)
• Bullish/Bearish divergence alerts
• Volume confirmation for signals
SMART ANALYSIS TABLE
• Real-time pattern detection
• Probability-based confidence scores
• Clear trade recommendations
• Volume status and divergence warnings
MARKET STRUCTURE DETECTION
• ACCUMULATION - Strong bullish setup
• DISTRIBUTION - Strong bearish setup
• BULL SETUP - Favorable long conditions
• BEAR SETUP - Favorable short conditions
• TRANSITION - Market changing direction
• CHOPPY - Avoid trading
HOW TO USE
1. Check the analysis table for current market bias
2. Look for pattern confirmations (Triangle, H&S, Double Top/Bottom)
3. Verify volume is confirming the move (not diverging)
4. Follow the ACTION recommendation
5. Use MA levels for support/resistance and stop placement
RECOMMENDATIONS
• 80%+ Confidence = Strong signal, consider entry
• 60-80% Confidence = Look for entries on pullbacks
• 40-60% Confidence = Wait for confirmation
• <40% Confidence = Avoid trading
SETTINGS
• Toggle individual MAs on/off
• Customize colors for each MA
• Adjust label offsets
• Set alert sensitivity (Conservative/Medium/Aggressive)
• Show/hide background colors and analysis table
ALERTS
Set alerts for:
• Strong Buy/Sell signals
• Chart pattern detection
• Volume divergences
• Golden/Death crosses
BEST USED ON
• Stocks, Forex, Crypto, Indices
• Timeframes: 5min to Daily
• Works on all markets
FVG DUAL HTF ALERTS FINAL DG FVG Dual HTF - Advanced Fair Value Gap Detector with Confluence & Strength Analysis
Professional-grade Fair Value Gap (FVG) detection system designed for precision trading on Gold and other instruments.
🎯 Key Features
Dual Higher Timeframe Analysis
HTF1 & HTF2 Detection: Simultaneously monitors two higher timeframes (default: 15min & 60min) for Fair Value Gaps
Multi-timeframe Confluence: Automatically detects when FVGs align across multiple timeframes for high-probability setups
Customizable Timeframes: Choose from 5min, 15min, 60min, 4H, or Daily for each HTF
Intelligent Strength Scoring System (0-11 Scale)
Our proprietary algorithm rates each FVG based on:
Gap size relative to ATR
Volume analysis vs. average
Current timeframe confluence (★ symbol indicates FVG exists on your chart timeframe)
Session timing (London & New York priority)
HTF confluence bonus
Color-Coded Ratings:
🟢 Lime (8-11): Premium strength - highest probability setups
🟡 Yellow (5-7): Good strength - solid opportunities
⚪ Gray (0-4): Weak strength - proceed with caution
Sweet Spot Entry Zones
Inner Box Technology: Highlights the optimal 10% entry zone within each FVG
BUY/SELL Labels: Clear visual cues for directional bias
Automatic Entry/Stop/Target Lines: Shows precise risk-reward setups on the 3 nearest FVGs
Position Sizing Calculator: Displays dollar values based on your lot size
Advanced Fill Methods
Choose how FVGs are invalidated:
Wick Sweep: Most conservative - requires price to sweep through the gap
Any Touch: Price touches the FVG boundary
Midpoint Reached: 50% fill required
Body Beyond: Strictest - candle body must close through the gap
Comprehensive Market Intelligence Table
Real-time monitoring of:
Gold Daily & Hourly Bias (with pip movement)
BTC Daily & Hourly Bias (optional)
Distance to nearest Bull/Bear FVGs
IN ZONE Indicator: 🔥 Alerts when price enters premium sweet spots
Shows strength rating and HTF source
Color-coded: Premium / Good / Weak / Out
Professional Alert System
HTF1 & HTF2 Zone Entry Alerts
Sweet Spot Entry Alerts (BUY/SELL)
High-Strength FVG Alerts (8+ rating)
Combined "ANY HTF" alerts for maximum flexibility
📊 Default Configuration
Optimized for Gold (XAU/USD) on 3-minute charts
Session Focus: London (8am-12pm GMT) & New York (1:30pm-4pm GMT)
Risk Management: Built-in R:R calculator with customizable stops and targets
🎨 Customization Options
Multiple color schemes for bull/bear zones
Adjustable inner box percentage
Confluence highlighting (bright colors when HTF1 & HTF2 align)
Show/hide individual components
BTC correlation tracking (optional)
⚙️ Technical Specifications
Maximum Display: Up to 50 FVGs per type (HTF1 Bull/Bear, HTF2 Bull/Bear)
Fill Tracking: Monitors touched vs. untouched zones
Lookback Period: Configurable (default: 100 bars for current TF confluence)
Body Close Requirement: Optional strict mode for cleaner signals
📈 Best Used For
Gold (XAU/USD) day trading
Institutional order flow analysis
High-probability reversal setups
Multi-timeframe confirmation strategies
Risk-reward optimization
🔒 Access & Support
This is a private indicator. Contact the owner for details about access and usage.
Disclaimer: This indicator is a tool for technical analysis. Past performance does not guarantee future results. Always use proper risk management and trade responsibly.
Short Version (if space is limited):
FVG Dual HTF - Professional Fair Value Gap System
Advanced FVG detector with dual higher timeframe analysis, intelligent strength scoring (0-11), and multi-timeframe confluence detection. Features sweet spot entry zones, automatic R:R lines, real-time IN ZONE alerts, and comprehensive market intelligence table.
Highlights:
🎯 Dual HTF monitoring (15m/60m default)
⭐ Strength scoring with current TF confluence (★)
📊 Color-coded ratings: Lime (8+) / Yellow (5-7) / Gray (<5)
🎨 Sweet spot inner boxes with BUY/SELL signals
🔔 Professional alert system
💰 Built-in position sizing calculator
📈 Gold Daily/Hourly + BTC bias tracking
Optimized for Gold and BTC. Multiple fill methods, customizable colors, and extensive settings.
Contact owner for access details.
Visible Range / POC / Volume / SNR Detector PROVisible Range POC & Volume SNR Detector PRO
Visible Range POC & Volume SNR Detector PRO is a professional-grade volume-based market structure tool designed to identify institutional Support & Resistance zones, Point of Control (POC), and Value Areas directly from the visible chart range.
This indicator goes beyond traditional swing highs and lows by analyzing real traded volume, revealing where large players are active, where price finds fair value, and where high-probability reactions are most likely to occur.
🔍 Core Features
📊 Visible Range Volume Profile
🔹Builds a full Volume Profile using only the visible chart range
🔹Splits price into configurable precision bins for maximum accuracy
🔹Detects true volume clusters instead of subjective price levels
🎯 Point of Control (POC)
🔹 Automatically identifies the highest-volume price level
🔹Acts as a magnet price where market participants agree on value
🔹Fully customizable line style, width, and color
🔹 Optional label with timeframe + price + volume (K / M / B)
📦 Value Area (VAH / VAL)
* Calculates Value Area High & Low around the POC
* Default **70% volume range** (institutional standard)
* Optional Value Area fill for clear fair-value visualization
* Helps distinguish **range conditions vs trending moves**
🧱 Volume-Based Support & Resistance Zones
🔹Automatically detects high-impact S&R zones from volume behavior
🔹Zones are visually classified by strength:
🔹 🟢 Strong
🔹 🟡 Medium
🔹 🔴 Weak
🔹Clean box rendering with customizable borders:
🔹 Solid / Dashed / Dotted
🔹 Zones extend dynamically into the future for planning trades
🔄 Dynamic Flip Logic (PRO Standard)
🔹 Advanced Dynamic Flip system:
🔹 Support ➜ Resistance after a breakdown
🔹Resistance ➜ Support after a breakout
🔹 Reflects real market structure shifts
🔹Eliminates outdated static levels
🔁 True Retest & Zone Intelligence
🔹Each zone includes detailed contextual data:
🔹🔄 True Retest Count (price leaves zone and comes back)
🔹⏳ Zone Age (minutes / hours / days)
🔹💪 Strength Classification
🔹🔁 Flip Status
🔹⏱️ Timeframe
🔹💲 Exact price level
🔹All information is displayed in a single clean label.
🔔 Smart Alerts System
🔹Never miss key interactions:
🔹🟢 Touch Alert — price enters a zone
🔹⬇️⬆️ Break Alert — zone failure or breakout
🔹🔄 Retest Alert — classic break & retest setup
Alerts trigger on confirmed bars to reduce noise and false signals.
📋 Professional Dashboard
🔹At-a-glance market overview:
🔹Total Support & Resistance zones
🔹🎯 POC level
🔹📦 VA High / VA Low
🔹💪 Strong / Medium / Weak zone distribution
🔹📍 Nearest Support & Resistance
🔹📏 Distance to key levels
🔹 🎨 Auto / Dark / Light theme support
🔹 📐 Adjustable size & position
Smart Money Concepts [Kodexius]Smart Money Concepts is a price action framework designed to integrate market structure, liquidity behavior, and inefficiencies into a single, readable view. Rather than acting as a signal generator, it serves as a live market map highlighting where price has displaced, where liquidity may be resting, which zones remain valid, and how that context updates as new candles print.
What separates this script from typical “SMC bundles” is not the presence of familiar concepts like swings, order blocks, FVGs or liquidity sweeps. The value is in the engine design and how the components are maintained together as a consistent state, with automatic pruning and prioritization so the chart stays usable over time. Many tools can draw boxes, but fewer tools manage the lifecycle of those zones, reduce overlap, rank relevance, and keep the display focused on what still matters near current price.
At the core is a structure model that tracks directional state and labels structural transitions as they happen. CHoCH and BoS are not just printed whenever price crosses a line. Each event is anchored to a swing reference and handled in a way that reduces repeated triggers from the same context, helping you see genuine transitions versus minor noise. This gives structure a “narrative” across time instead of a cluttered sequence of identical labels.
Order blocks are built from the most relevant candle within the post break window and displayed as true zones that extend forward while they remain valid. Beyond the zone itself, the script adds context that is usually missing in basic OB implementations: a volumetric pressure visualization and a displacement strength score that is normalized and ranked over a rolling window. In practice, this creates an information hierarchy. You can quickly see which zones carried more participation, whether the internal push was dominated by buying or selling pressure, and whether the move that created the zone had meaningful displacement relative to recent history. This is designed to help prioritization, not to claim prediction.
Imbalances are handled as a dedicated module with multiple detection modes (FVG, VI, OG, IFVG) and optional MTF logic so you can map inefficiencies from a higher timeframe while executing on a lower timeframe. Each imbalance is displayed as a zone with a midline reference, and mitigation behavior can be tuned (wick or close). IFVG adds lifecycle depth by tracking inversion behavior rather than simply deleting the zone, which can be useful for monitoring how price rebalances and flips inefficiencies over time. An optional sentiment style internal fill is available for visual context, but it is intentionally framed as informational rather than a “buy/sell meter.”
Liquidity is treated as an event driven layer. Pivot highs and lows are tracked as potential liquidity pools, then monitored for sweeps and rejection behavior. If you enable EQH/EQL logic, the script can label equal highs and lows during the sweep process to highlight common resting liquidity formations. A volume filter is available to reduce low quality levels, aiming to keep the liquidity map focused on swings that occurred with meaningful participation rather than every small fluctuation.
Swing Failure Patterns (SFP) are included as a separate confirmation style tool that focuses on rejection after liquidity is taken. The module supports optional volume validation using lower timeframe volume distribution outside the swing level, which helps filter some low quality SFPs on noisy instruments. The output is a cleaner set of events intended to complement structure, liquidity and zones, not replace discretionary decision making.
For higher timeframe context, the HTF candle projection panel can display a compact set of higher timeframe candles to the right of current price, with classic or Heikin Ashi style and configurable sizing, spacing and labels. This allows you to maintain HTF awareness without switching charts, which is especially helpful when structure and zones are being interpreted across multiple timeframes.
Finally, the alert framework is designed around well defined structural and zone states. Alerts cover structural shifts (CHoCH, BoS), liquidity sweeps, new and broken order blocks, breaker behavior (if enabled), new and approached imbalances, premium and discount entries, trendline events, and SFP detection. These alerts are intended as monitoring prompts so you can review context, not as automated trade execution signals.
Every major component is modular and configurable. You can run a minimal structure only layout or enable a full framework with zones, imbalances, liquidity, SFP and HTF projection. The guiding principle is chart clarity and relevance: keep the most important information visible, reduce overlap and stale objects, and maintain a consistent view of how price is interacting with liquidity and value over time.
🔹 Features
🔸 Market Structure Engine (CHoCH and BoS)
This script automatically tracks zigzag based market structure and differentiates between:
CHoCH (Change of Character) : the first meaningful structural shift that suggests the prior directional leg is weakening.
BoS (Break of Structure) : continuation breaks that confirm structure extension in the active direction.
Instead of relying on plain pivot dots, our market structure swings are built with a lightweight zigzag style engine that tracks direction and “locks in” the true leg extreme only when the leg flips. This produces cleaner, more consistent swing highs/lows for BOS/CHoCH than simple left/right pivot checks.
Bullish CHoCH:
Bearish CHoCH:
Bullish BoS:
Bearish BoS:
🔸 Order Blocks with Volumetric and Displacement Insight
The script identifies recent bullish and bearish order block zones around meaningful structural reactions and keeps the display focused on the most relevant areas. Instead of drawing a static rectangle and leaving it there forever, each zone is maintained as an active region on the chart and can be limited by a user defined visibility depth to avoid clutter. When enabled, the overlay also adds compact volume based context inside the block so you can quickly compare relative participation between recent zones and see whether the origin move showed strong follow through versus a softer transition. The intention is to provide structured context and cleaner prioritization on the chart, not to present a trade call or a guaranteed reaction level.
Bullish Order Block:
Bearish Order Block:
Order blocks are derived from the structure shifts, marking the institutional “origin zone” behind a decisive move and projecting it forward as a live area of interest. In practice, it highlights the candle cluster where price last rebalanced before expanding away, so you can track potential retests with context instead of guessing.
Inside each order block, the internal bars act as a compact strength meter green vs red summarizes the relative bullish vs bearish participation, while the blue segment reflects the “departure force” (displacement/momentum) away from the zone. It’s meant to help you scan which blocks left clean and strong versus those that moved out more slowly or with mixed pressure.
🔸 Breaker Blocks & Mitigation Tracking
Tracks when previously identified order blocks fail and converts them into breaker blocks, visually marking a change in how price is interacting with that zone.
Bullish Breaker Block :
Bearish Breaker Block :
Separate handling of bullish and bearish breakers with clear color differentiation.
Includes optional “mitigation” logic using either wick or close to determine when a block is considered broken or mitigated.
Breaker blocks are updated and removed dynamically as price trades through them, keeping the chart focused on current, active zones.
🔸 Imbalances
The imbalance module maps common price inefficiencies as zones, with support for multiple detection styles such as Fair Value Gaps, volume style imbalances, opening gaps, and an inverted gap mode. Each imbalance is drawn as a practical area on the chart with a midpoint reference, so you can quickly see where price may be revisiting unbalanced movement. You can also choose how mitigation is evaluated (wick or close) and optionally run imbalance detection on a separate timeframe for cleaner higher timeframe context while staying on your execution chart.
Fair Value Gaps:
Inverse Fair Value Gaps:
Opening Gaps:
🔸 Liquidity Sweeps, EQH/EQL, and Optional Volume Filter
Liquidity levels are derived from swing highs and lows and then monitored for sweep behavior, where price trades beyond a prior level and rejects back. If you enable EQH/EQL marking, the script can highlight equal highs and equal lows behavior around those liquidity areas to make common pool formations easier to spot. An optional volume filter can be used to reduce tracking of low participation swings, helping keep the liquidity layer focused and less noisy on instruments that produce frequent small pivots.
Sellside Liquidity Sweep Definition:
Buyside Liquidity Sweep Definition:
Highlights equal highs (EQH) and equal lows (EQL) when sweeps occur, marking where price probed above/below prior liquidity and then rejected.
Optional volume filter to ignore low volume swings and focus on more meaningful liquidity zones.
🔸 Premium, Discount, and Equilibrium
The premium and discount view provides a simple contextual map of where price is trading within a measured range, alongside an optional equilibrium line as a midpoint reference. This is intended as a higher level framing tool to help you avoid treating every price location the same, especially when combining structure with reaction zones. Price labels can be enabled for quick orientation, and the display updates as the underlying range evolves.
Projects premium and discount bands based on a dynamically measured range, offering a simple view of where price is trading relative to that range.
Draws separate Premium and Discount boxes with optional price labels for quick orientation.
Optional mid line (equilibrium) to visualize the “50%” of the current range, often used as a reference for balanced versus extended price.
Zones auto update as the underlying range evolves, with logic to prevent stale levels from cluttering the chart.
🔸 Trend Channels
When enabled, the trend module draws swing based diagonal structure using trendlines and a channel style visualization. You can tune sensitivity and choose whether the source should be depending on how you prefer to read trend behavior. The channel is maintained dynamically so you can keep directional context without manually drawing and constantly adjusting diagonal lines, and the script can highlight basic break behavior when price pushes beyond the active diagonal reference.
🔸 Swing Failure Pattern (SFP) Detector
The SFP module highlights common swing failure behavior, where price briefly trades beyond a swing level and then reclaims it, often reflecting a liquidity grab followed by rejection. Bullish and bearish SFPs can be enabled independently, and the display is designed to keep the key level and the rejection visible without excessive clutter. Optional volume validation can be used as a filter, so you can choose whether you want the detector to be more permissive or more selective based on participation characteristics.
🔸 HTF Candle Projection Panel
The HTF panel projects a compact set of higher timeframe candles to the right of price, giving you higher timeframe context without switching charts. You can select classic candles or Heikin Ashi style, adjust the scale and spacing, and optionally display reference lines and labels for OHLC values. This is a visual context tool intended to support multi timeframe reading, not a replacement for your own higher timeframe analysis.
In addition to projecting higher timeframe candles, the HTF panel can also detect and visualize higher timeframe liquidity sweeps directly within the projected candle set. The script monitors each completed HTF candle’s high and low and evaluates subsequent HTF candles for sweep behavior i.e., when price briefly trades beyond a prior HTF extreme but fails to hold acceptance beyond it (filtered using the later candle’s body positioning). When a sweep is detected, the panel draws a dotted sweep line and marks the event, allowing you to spot HTF stop runs and failed breaks without switching timeframes. Sweeps are dynamically invalidated if a later HTF candle shows genuine acceptance beyond that level, ensuring the display stays context relevant and avoids stale markings. This turns the HTF projection from a passive visualization into an actionable context layer for identifying HTF liquidity events while executing on lower timeframes.
🔸 Alerts
Alerts are included for the most practical events produced by the overlay, such as structure shifts (CHoCH and BoS), liquidity sweeps, new and invalidated zones, price approaching recent zones, imbalance creation and mitigation, premium or discount entries, trendline events, and SFP detections. The alerts are designed to function as a monitoring layer so you can be notified when something changes in your mapped context, rather than acting as standalone trade instructions.
🔸 Originality & Usefulness
This script is not a collection of separate SMC drawings layered on top of price. It is built as a unified price action engine where market structure, order blocks, inefficiencies, and liquidity are produced from the same evolving state. That matters because most SMC indicators treat these concepts as independent overlays, which often leads to contradictory markings and excessive clutter. Here, the design priority is consistency and readability: modules update in sync, older elements are managed, and the chart stays usable during live conditions.
A key differentiator is the internal swing logic, which functions like a compact zigzag style structure engine. Instead of reacting to every minor fluctuation, it aims to focus on meaningful swing decisions and treat structure as a sequence. This reduces repetitive labeling and makes structural transitions easier to follow. Structure events are anchored to the swing that defined them and are designed to trigger in a clean, non spammy way, which is critical for anyone who uses structure as a workflow backbone.
The structure layer is intentionally narrative oriented. It separates a transition event from continuation events, so CHoCH is used to highlight the first meaningful shift after an established leg, while BoS is used to mark follow through in the same direction. This is not a prediction claim. It is a clarity feature that helps users read “phase changes” versus “continuation” without constantly second guessing whether the script is just printing noise.
Order blocks are where this script becomes especially distinctive compared to typical SMC tools. Instead of drawing identical rectangles, each block is rendered with an internal gauge that communicates participation and directional dominance at a glance. The zone is visually segmented to reflect bullish and bearish pressure components, and it also carries a volume readout plus a relative weight compared to other recent blocks. This creates a ranked view of blocks rather than an unfiltered pile. In practice, you can prioritize zones faster because the script surfaces which blocks had more meaningful participation and whether the internal push looked one sided or mixed. The result is less subjective filtering and a cleaner chart.
Imbalances are handled as structured inefficiency zones with clear references and optional context. Beyond drawing the zone and midpoint, the script can overlay a sentiment style gauge that divides the imbalance into bullish and bearish portions and updates as new data comes in. The practical value is that you can see whether an inefficiency remains strongly one sided or is gradually being balanced. This turns imbalances from static boxes into a living context layer, which is particularly useful when you monitor reactions over time instead of treating every touch the same.
Liquidity is treated as an event driven tracking system rather than simple pivot plotting. Liquidity pools are identified from swing behavior and can be gated through a participation filter so the script focuses on levels that formed with meaningful activity rather than low quality noise. Once tracked, levels are monitored for outcomes like sweeps and equal high/low behavior, and then updated or retired when they are decisively resolved. This prevents the display from accumulating stale levels and keeps the liquidity layer focused on what is still relevant now.
Swing failure patterns are integrated as selective events rather than continuous spam. The intent is to produce fewer but more structurally meaningful SFPs, aligned with the liquidity narrative, instead of printing clusters around the same price area. This keeps the pattern readable and reinforces the “event based” design philosophy across the script.
Higher timeframe context is supported through a compact HTF projection panel that provides quick orientation without forcing constant timeframe switching. It lets you see where current price action sits inside a larger timeframe candle and range, which helps maintain consistency when you are executing on a lower timeframe but respecting higher timeframe structure.
Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice, and it does not guarantee results.
🔹 How to Use
This tool is designed to support multiple trading styles, but it is most effective when you treat it as a top down mapping and decision support tool. A practical workflow looks like this.
1) Establish higher timeframe bias and context
Start on your reference timeframe such as H4 or Daily and read the market’s dominant story first. Use the Market Structure Engine to identify whether the market is in continuation mode or transition mode. The goal is to avoid executing lower timeframe ideas that conflict with the larger structure narrative.
Use the HTF Candle Projection Panel as a fast orientation aid. It helps you judge whether current price is building acceptance near the highs of the larger candle, rotating back toward its open, or rejecting from its extremes. This is especially useful when you execute on lower timeframes but want to stay aligned with higher timeframe positioning.
Add Premium and Discount framing to understand location. When price is trading in premium, continuation longs are often more selective and require stronger confirmation, while shorts may have better location if structure supports it. When price is in discount, the opposite applies. Treat this as location context, not a rule.
2) Map your key reaction zones with prioritization
Next, build your map of where reactions are most likely to occur. Enable Order Blocks with Volumetric Insight to highlight the most relevant origin zones that form after important structure events. Keep your focus on the most recent blocks and adjust the visible depth so the chart stays clean.
Use the internal gauge and participation readouts to prioritize. Instead of treating every zone as equal, treat higher participation blocks as primary candidates and lower participation blocks as secondary. The bullish and bearish split inside the gauge helps you quickly judge whether the zone formed from a clearly one sided push or a more mixed move, which can inform how strict you want to be with confirmation on a retest.
If you use Breaker Blocks, treat them as role shift zones. They are especially useful when the market has clearly transitioned and you want to track where a previously defended origin area may become a meaningful retest level later.
3) Layer in inefficiencies only where they add clarity
If your workflow includes imbalances, add them selectively to avoid visual overload. Use Fair Value Gaps, Volume Imbalances, or Opening Gaps as secondary reaction areas that often sit inside, near, or between larger zones.
If you enable the internal sentiment gauge, read it as context rather than a signal. It is meant to help you see whether the imbalance remains one sided or has started to balance out as price develops. A strongly one sided presentation can support the idea of continuation through the zone, while a more balanced presentation can support the idea of deeper mitigation or chop. Use it to refine expectations, not to force entries.
4) Track liquidity as events, not as static levels
Enable Liquidity Sweeps and EQH/EQL tagging to highlight where resting liquidity is likely concentrated and when it gets taken. The main value here is narrative: you can see when price runs obvious highs or lows and whether it immediately rejects back into structure or accepts beyond the level.
If you use the volume filter, treat it as a quality gate. The point is to ignore small, low participation swings and keep the liquidity layer focused on levels that formed with meaningful activity. This tends to reduce noise and makes sweeps and equal level behavior more relevant.
Combine the liquidity layer with the Swing Failure Pattern detector to isolate moments where liquidity is taken and then rejected. The cleanest use is when SFPs occur at or near your pre mapped reaction zones, after a sweep, and in alignment with your higher timeframe bias.
5) Refine execution timing on your entry timeframe
Drop to your execution timeframe and use local structure shifts as timing tools. CHoCH and BoS on the lower timeframe can help you see when micro structure is flipping in your intended direction after price interacts with your mapped zone.
If you use the Trend Channel framework, treat it as diagonal context rather than strict support and resistance. A channel helps you see where price is riding the trend and where it is deviating. This can help you time entries by waiting for price to re enter the corridor, show rejection near a boundary, or confirm a shift by building structure outside the channel.
A common practical sequence is: price reaches a mapped OB or imbalance area, liquidity gets taken, price rejects, micro structure begins to flip, and then you execute with your own confirmation and risk rules. The tool helps you see each step clearly, but your plan determines what is sufficient confirmation.
6) Use alerts as monitoring, not as standalone signals
Set alerts only for events that are meaningful to your workflow, such as:
-fresh CHoCH or BoS in your preferred direction
-new or invalidated order blocks and breaker blocks
-price approaching the most recent priority zones
-liquidity sweeps and EQH/EQL interactions
-new SFP events
-entry into premium or discount and interaction with HTF projection levels
-imbalance creation, mitigation, or approach
Treat alerts as prompts to check the chart, not as automatic entries or exits. This script is designed as a mapping and decision support tool. Trade execution, confirmation, and risk management remain entirely dependent on your own strategy and discretion.
🔴 Price Action Practical Notes
💠 Market structure
Market structure is the framework used to describe how price organizes itself into swings. It is built from successive swing highs and swing lows, and it is used to decide whether the market is expanding upward, expanding downward, or transitioning. A practical structure model focuses on “meaningful” turning points rather than every minor fluctuation, because the goal is to capture intent and flow, not noise.
💠 Swing highs and swing lows
A swing high is a local peak where price stops advancing and begins to rotate lower, while a swing low is a local trough where selling pressure pauses and price rotates higher. Swings matter because many traders anchor risk, liquidity, and entries around them. The stronger the reaction away from a swing, the more likely it is to be referenced again as a decision point.
💠 Break of structure
A break of structure is the event where price decisively exceeds a prior swing in the direction of the prevailing move. In practice, it is used as confirmation that a directional leg is still active and that liquidity resting beyond the swing has been taken. This concept is less about predicting and more about validating continuation.
💠 Change of character
A change of character is a structural break that signals transition rather than continuation. Instead of breaking a swing in the same direction as the recent trend, price breaks a key swing in the opposite direction, suggesting that control may be shifting. It is often treated as an early warning that the market may be moving from continuation into reversal or deeper pullback conditions.
💠 Order blocks
An order block is commonly described as the last opposing candle or consolidation zone that precedes a strong directional expansion. The idea is that this area represents a footprint of aggressive execution and unfilled interest. When price revisits it later, it can act as a reaction zone because participants who missed the move may defend it, or because remaining orders may still exist there.
💠 Mitigation and invalidation of a zone
Mitigation describes the process of price returning to a zone and “consuming” the remaining interest there. A zone is typically considered invalidated when price trades through it in a way that implies the resting orders were absorbed and the area no longer has protective value. Some approaches treat a wick through the boundary as enough to invalidate, while others require a candle close beyond the boundary to confirm that the level has truly failed.
💠 Breaker blocks
A breaker block is an order block concept that changes role after being invalidated. When a previously respected zone fails, it can later become a reaction area in the opposite direction because trapped participants may use the retest to exit, or because the market may recognize it as a new supply or demand reference. Breakers are often treated as “failed zones that become liquidity magnets” and are closely watched on retests.
💠 Liquidity and liquidity pools
Liquidity is the availability of resting orders that allow large transactions to execute with minimal slippage. In chart terms, liquidity pools often form around obvious swing highs and lows, equal highs and lows, and clear ranges. These areas attract price because they contain clustered stops and entries that can be used to fuel continuation or trigger reversals through rapid order flow shifts.
💠 Liquidity sweeps
A liquidity sweep is a move where price briefly trades beyond a known liquidity pool and then returns back inside, often closing back within the prior range. The concept implies that stops were triggered and liquidity was captured, but that continuation beyond the swept level did not sustain. Sweeps are frequently used as context for reversals or for confirming that a “cleanout” occurred before a directional move.
💠 Equal highs and equal lows
Equal highs and equal lows describe repeated swing levels that form a flat or nearly flat top or bottom. They matter because they concentrate liquidity. Many traders place stops just beyond these repeated levels, and many breakout traders place entries around them. The result is a dense cluster of orders that can be targeted efficiently by price.
💠Imbalances and inefficiencies
Imbalances represent zones where price moved so quickly that it left behind inefficient trading, meaning fewer transactions occurred in that region compared to surrounding areas. The underlying idea is that markets often revisit these areas to rebalance, fill gaps, or complete unfinished business. Imbalances are treated as areas of interest for pullback entries, targets, or reaction zones.
💠 Fair value gap
A fair value gap is a specific form of imbalance commonly framed as a three candle displacement that leaves a gap between candles, indicating rapid repricing. Traders use it as a proxy for inefficiency: if price returns, it may partially or fully fill the gap before continuing. The midpoint of the gap is often treated as a particularly relevant reference, but whether price respects it depends on context.
💠 Inverted fair value gap
An inverted fair value gap is the idea that once an imbalance is “broken” in a meaningful way, the zone can flip its behavior. Instead of acting like a supportive zone, it may become resistive (or vice versa) on a later retest. Conceptually, this is similar to role reversal: what once behaved as a continuation aid can become a rejection zone after failure.
💠 Premium, discount, and equilibrium
Premium and discount describe where price sits relative to a defined recent range. Premium is the upper portion of that range and discount is the lower portion. Equilibrium is the midpoint. The concept is mainly used to align trade direction with location: buying is generally more attractive in discount and selling is generally more attractive in premium, assuming you are trading mean reversion within a range or seeking favorable risk placement within a broader trend.
💠 Swing failure pattern
A swing failure pattern is a reversal archetype where price breaks a known swing level, fails to hold beyond it, and returns back through the level. The logic is that the breakout attempt attracted orders and triggered stops, but the market rejected the extension. SFPs are often considered higher quality when the failure is followed by a decisive move away and when it aligns with a broader liquidity narrative.
💠 Higher timeframe context
Higher timeframe context means framing intraday or lower timeframe signals within the structure of a larger timeframe. This can include aligning trades with higher timeframe swings, using higher timeframe candles as reference for open/high/low behavior, and avoiding taking counter trend signals when the larger timeframe is strongly directional. The purpose is to improve signal quality by ensuring the smaller timeframe idea is not fighting a dominant larger flow.
💠 Trend channels
A trend channel is a structured way to visualize a market’s directional “lane” by framing price between two roughly parallel boundaries. The central idea is that trending price action often oscillates in a repeatable corridor: pullbacks tend to stall around one side of the lane, while impulses tend to extend toward the opposite side. Instead of treating trend as a single line, a channel treats trend as an area, which better reflects real market behavior where reactions occur in zones rather than at perfect prices.
A channel typically has three functional references: a guiding line that represents the prevailing slope, an upper boundary that approximates where bullish expansions tend to stretch before mean reversion, and a lower boundary that approximates where bearish pullbacks tend to terminate before continuation. The space between boundaries represents the market’s accepted path. When price stays inside this corridor, the trend is considered healthy. When price repeatedly fails to progress within it, the trend is weakening.
Channels are commonly used for timing and location. In an uptrend channel, pullbacks into the lower portion of the corridor are often treated as higher quality “location” for continuation attempts, while pushes into the upper portion are treated as extension territory where risk of a pause or retracement increases. In a downtrend channel, the logic is mirrored: rallies into the upper portion are often treated as sell side location, and moves into the lower portion are treated as extension territory. The channel does not predict direction by itself; it provides a disciplined map for where continuation is more likely versus where momentum is more likely to cool.
A key concept is acceptance versus deviation. If price briefly pierces a boundary and snaps back inside, that is often interpreted as a deviation, meaning the market tested outside the lane but did not accept it. If price holds outside the corridor and begins to build new swings there, that suggests acceptance and a potential regime change: either a new channel with a different slope, a shift into range, or a broader reversal context. This is why channels are most useful when you treat them as a framework for evaluating behavior, not as rigid support and resistance.
ENIGMA PROENIGMA PRO: Multi-Strategy & Signal Verification System (Smart Signal Panel)
Description: Transform market chaos into clarity. Enigma combines 12 independent and powerful algorithms (based on Trend, Momentum, Volume, Reversal, and Squeeze) running in the background into a single control panel.
Instead of relying on a single indicator, rely on the "Consensus of Strategies". Enigma doesn't just say "BUY"; it shows exactly how many different strategies support this decision simultaneously.
Key Features:
🧩 12 Hidden Algorithms (T1-T12): HMA, Ichimoku, RSI, Volume, EMA, Stochastic, and more are constantly scanning in the background.
🎛 Signal Confirmation Mechanism: You decide the minimum number of strategies required to trigger an alarm. (e.g., "Notify me only if at least 3 strategies signal BUY").
📊 Live Control Panel: Instantly monitor which strategies are active via the dashboard in the top-right corner.
🎯 Precise Filtering: Pinpoint opportunities with Common Volume Threshold (RVol), Date Range, and Day-Based Scanning (e.g., Only Fridays) options.
🛡 Risk Management: Visualize automatic TP (Take Profit) and SL (Stop Loss) levels directly on the chart.
The only tool you need to decode the market cipher.
Turn off the noise, turn on Enigma.
DAX-30 ATRXVersion 1 of DAX-30 ATRX algo.
Revised versions may be available in future.
To be used on the 45 minute timeframe only.
Algorithm is also profitable on the NAS100 - but use with caution.
Optimized Settings:
Higher-TF for trend bias - 4 hours
HTF EMA length - 5
Min HA body size (pts) - 0.5
RSI length - 14
RSI threshold for longs - 40
Fisher length - 11
Volume MA length - 20
Volume spike multiplier - 1.2
ATR length - 14
ATR-mean length - 80
Min ATR / ATR_mean multiplier - 0.8
Max ATR / ATR_mean multiplier - 2.5
SL = ATR x - 0.9
TP = ATR x - 2.1
NY Session ON
Max trades per day - 1
GIX-Treid-2Timeframes: M15 – H1 (and higher)
An advanced SuperTrend, more stable and more intelligent, based on statistical calculations, not market noise.
It calculates a statistical moving average, significantly smoother than EMA or SMA.
It builds an adaptive channel around this average, using fixed pip/tick steps (not a classic ATR).
The trend changes only when price breaks the channel, not on minor fluctuations.
The main line moves in discrete steps, not continuously → no repaint and no whipsawing.
Line color indicates direction:
Green = bullish trend
Red = bearish trend
QM Level Detector by RWBTradeLabQM Level Detector by RWBTradeLab
A clean, non-repainting QM level detector built for traders who track structure shifts and level-break sequences using confirmed candles only.
What this indicator does
This script detects and marks QM Levels based on a strict, rule-based sequence using closed candles only (no running-bar signals).
It identifies two types of QM:
Buy QM
A Buy QM is confirmed when the following sequence completes in order:
* V Level is detected.
* That V Level is broken down by a red candle close below the V Level price.
* After that breakdown, the most recent A Level (formed before the breakdown) is identified.
* When that A Level is later broken out by a green candle close above the A Level price, the original V Level becomes a Buy QM Level .
Sell QM
A Sell QM is confirmed when the opposite sequence completes in order:
* A Level is detected.
* That A Level is broken out by a green candle close above the A Level price.
* After that breakout, the most recent V Level (formed before the breakout) is identified.
* When that V Level is later broken down by a red candle close below the V Level price, the original A Level becomes a Sell QM Level .
Visuals on chart
* A horizontal ray (right-extended) is drawn at the confirmed QM price level.
* Label distance is adjustable via Text Offset (ticks).
Alerts
Built-in alerts trigger only on candle close when a QM is confirmed:
* Buy QM
* Sell QM
Each alert is designed for reliable automation without repainting.
Key settings
* Candle Length (closed candles): Scans the last N closed bars (running candle excluded).
* Buy QM / Sell QM toggles: Show or hide each type.
* Text toggle: Show or hide labels.
* QM Line Color and Text Offset (ticks) customization.
Non-repainting confirmation
All detection, marking, and alerts are based on confirmed candles only.
No running-bar conditions → no repainting .
Disclaimer
This indicator is a level-detection tool, not financial advice. Trading involves risk—always use proper risk management and confirm signals with your own analysis.
Creator: RWBTradeLab
If you find this useful, please leave a like ⭐ and share your feedback.
[Sebo] HTF FVGHigher-timeframe Fair Value Gaps only. Fixed logic, no filters, no signals. Built strictly for objective HTF market structure
This script is invite-only. If you want access, please send me a private message!!!
