Smart Money Concepts 2026🔘 The Smart Money Concepts (SMC) 2026 indicator is an institutional-grade trading tool built to give traders a measurable edge by automating key SMC price-action events and highlighting high-probability areas of interest. Alerts using TradingView built-in alerts system. Strength ranking to highlight stronger zones. Market structure mark-up. OB/FVG/BB detection. NRP algo, all zones do not repaint.
🩶 Smart Money Concepts (SMC) 2026
🗂️ User Guide & Trading Protocol
1.0 🧾 Executive Overview
◼️ This protocol explains the indicator’s features, how to read its data, and how to apply it inside a structured, confluence-based trading plan.
▫️ The system is engineered to de-clutter charts, focus attention on high-conviction zones, and support disciplined execution.
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2.0 ⚙️ Core Feature Compendium
🩶 The indicator integrates advanced components for a complete SMC market view.
⚙️ Feature 📌 Description
Market Structure ||| Plots BOS + CHOCH to define trend and potential reversals. ||| ✅ ON
Order Blocks (OB) ||| Detects bullish/bearish OBs showing institutional supply/demand zones. ||| ✅ ON
Fair Value Gaps (FVG) ||| Flags imbalances price often revisits to rebalance (key entry areas). ||| ✅ ON
Breaker Blocks (BB) ||| Finds failed/mitigated OBs that break and become strong reversal zones. ||| ⛔ OFF
Premium & Discount ||| Draws Premium (sell) / Discount (buy) from latest major swing range. ||| ✅ ON
Liquidity Zones ||| Marks EQH/EQL where stop liquidity is likely to rest. ||| ✅ ON
Strength Rating (0–10) ||| Scores each OB/FVG by momentum, size, and session context for quality filtering. ||| ✅ ON
Integrated Alerts ||| Native alerts when new OB/FVG forms so you don’t miss setups. ||| ✅ ON
BTCUSD with Smart Money Concepts 2026
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3.0 🧭 Zone Information Panel
🔍 Every OB and FVG zone includes an info panel for fast decision-making.
🧩 Data Point ||| 📌 Meaning / How to Use It
Type ||| Identifies zone type (e.g., Bullish OB, Bearish FVG).
Strength ||| Proprietary 0–10 score. ◾ Primary quality filter: > 6.5 preferred.
Session ||| Session where the zone formed: Asian / London / New York (London/NY often stronger).
Age ||| Bars since creation. Older unmitigated zones can still react strongly.
Distance ||| Current price distance from zone midpoint in pips/points (proximity context).
Pips/Points ||| Total height of the zone. Tighter zones can improve R:R efficiency.
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4.0 🛡️ Trading Methodology & Protocol
🩶 The edge is not trading every zone. The edge is:
◻️ Select high-strength zones → treat as AOIs → demand confirmation → execute with discipline.
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4.1 🎯 High-Probability Reversal Strategy
1) 🧩 Identify the Area of Interest (AOI)
🔘 Scan for Order Blocks / Fair Value Gaps with:
◼️ Strength ≥ 6.5 (quality threshold)
▫️ Add conviction by location:
• Short bias: AOI in Premium
• Long bias: AOI in Discount
TSLA with Smart Money Concepts 2026
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2) ⏱️ Wait for Price to Test the Zone
🔘 Let price trade into the high-strength OB/FVG.
◻️ Do not front-run entries.
🧷 Alerts ||| Set an alert for price entering the zone so you’re ready for execution.
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3) 🧠 Seek Confirmation for Entry Most Critical Step
🔍 Confirmation reduces failure risk. On a lower timeframe (e.g., zone on 1H → confirm on 5m/15m), look for one or more:
📍 Confirmation Type ||| What You Want To See
Market Structure Shift ||| LTF CHOCH against the move into the zone.
Momentum Divergence ||| RSI/MACD divergence (LL in price + HL in oscillator for longs; inverse for shorts).
Engulfing Candle ||| Strong bullish/bearish engulfing showing decisive rejection.
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4) 📐 Trade Execution Rules
🔘 Execute only after confirmation prints.
🧾 Rule ||| Execution Standard
Entry ||| After a clear confirmation signal closes.
Stop Loss ||| Just beyond the distal end of the zone.
Bearish OB/FVG SL ||| Place SL above the zone high.
Bullish OB/FVG SL ||| Place SL below the zone low.
Take Profit ||| Target logical liquidity: opposing high/low, opposing OB/FVG, nearby EQH/EQL.
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Brent oil with Smart Money Concepts 2026
⬛🛠️ Key Features Overview
⚙️ Feature 📌 Description
Zone Strength Ranking ||| Each zone is dynamically scored from 1–10 based on its age and number of retests. Fresher, less-tested zones are stronger, helping prioritize high-impact levels.
Real-Time Distance ||| Each active zone’s info label shows the exact distance in pips from current price to the zone edge for quick risk/opportunity assessment.
Trading Session Tracking ||| Zones are tagged by formation session (Asian / London / New York) for added context—high-volume session zones often matter more.
Advanced ATR Filtering ||| Volatility-based filters control zone quality: set min/max zone height and optionally enforce a consistent zone height using ATR.
Minimum Zone Distance ||| Reduces clutter by requiring a minimum number of bars between new zones, ensuring zones are distinct and well-separated.
Built on Pine Script v6 ||| Uses the newest Pine Script version for better efficiency, reliability, and smoother handling of complex logic/drawings.
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5.0 ✅ Conclusion
🩶 The SMC 2026 indicator is most powerful when used as a structured decision framework, not a blind signal generator.
🔘 Its core value is systematically identifying + scoring high-probability institutional zones.
◼️ By following this protocol—prioritize Strength ≥ 6.5, align with Premium/Discount, and require confirmation—you elevate consistency, clarity, and execution discipline.
Penunjuk dan strategi
ICT Pro [KTY]Hi, I'm Kim Thank You 👋
KTY = Kim Thank You (김땡큐)
【ICT Pro】📊
Essential ICT tools for Smart Money trading.
5 core features to identify institutional order flow and high-probability trade setups.
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💡 NEW TO THIS INDICATOR?
Open Settings and hover over the (i) icon on each feature for detailed tooltips.
Check the 📚 User Guide section at the bottom of Settings for quick reference.
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📊 FEATURES
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✅ Order Block (OB)
Price zones where Smart Money executed large buy/sell orders, acting as strong support/resistance levels.
- Bullish OB: Last bearish candle before an up move → Support
- Bearish OB: Last bullish candle before a down move → Resistance
📈 Box Display Info
- Vol: Volume at OB formation
- (%): Upper/Lower volume balance ratio
- Closer to 100% = Balanced buy/sell
- Lower = Strong one-sided order flow → Stronger S/R zone
📍 OB Body Lines
- Dotted lines showing candle body position within OB
- Use for precise entry points
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✅ Liquidity Zone
Areas where stop-loss orders are clustered around swing highs/lows, becoming targets for Smart Money.
- Buyside Liquidity: Stop-losses above highs where shorts get liquidated
- Sellside Liquidity: Stop-losses below lows where longs get liquidated
- Liquidity Sweep: Price hunts stops then reverses sharply
📈 Box Display Info
- (%): Relative size compared to recent volume
- Higher = More stop orders clustered
- More likely to be a major target for Smart Money
💡 Quick reversal after liquidity break = Reversal signal
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✅ Fair Value Gap (FVG)
A gap created when price moves rapidly between 3 candles, where price tends to return to fill this zone.
- Bullish FVG: Forms during sharp rallies → Acts as support on pullbacks
- Bearish FVG: Forms during sharp drops → Acts as resistance on bounces
- CE (Consequent Encroachment): 50% level of FVG, key reaction level
📈 Box Display Info
- (%): Relative size compared to recent volume
- Higher = FVG formed by stronger move
- Acts as stronger S/R zone
💡 FVG overlapping with OB = Higher reliability
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✅ Market Structure
Analyzes price swing highs/lows to identify current trend and reversal points.
- CHoCH (Change of Character): Trend reversal signal - first sign of direction change
- BOS (Break of Structure): Trend continuation signal - structure break in existing direction
⚙️ Structure Options
- INTERNAL: Short-term structure (fast reaction, more signals)
- EXTERNAL: Long-term structure (slower reaction, higher reliability)
- ALL: Display both internal + external structure
💡 CHoCH = Look for reversal | BOS = Trend continues
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✅ Trend Candles
Candle colors change based on market structure (BOS/CHoCH) direction.
- Bullish Color: After bullish structure break
- Bearish Color: After bearish structure break
💡 Color change = Potential trend shift
💡 Quickly identify overall market direction at a glance
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📈 HIGHER RELIABILITY SETUPS
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- Higher timeframe = More reliable signals
- Multiple features pointing to same price zone
(e.g. OB + FVG overlap = Strong confluence)
- Trend Candles + Market Structure direction aligned
- Quick reversal after Liquidity sweep
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💡 TRADING TIPS
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1. Identify Liquidity targets first
2. Wait for price to reach OB or FVG zone
3. Confirm with Market Structure (CHoCH/BOS)
4. Enter at OB body lines or FVG CE level
5. Stop loss below/above the zone
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⚠️ DISCLAIMER
This indicator is for educational purposes only.
Not financial advice. Always do your own research.
Past performance does not guarantee future results.
Cup & Handle (Zeiierman)█ Overview
Cup & Handle (Zeiierman) is a classic continuation-pattern scanner that detects both bullish Cup+Handle and bearish Inverted Cup+Handle structures using a compact pivot stream. It’s designed to highlight rounded reversals back to a “rim” level, followed by a smaller pullback (“handle”) before a potential continuation move.
⚪ What It Detects
A Cup & Handle (Bull) forms when price makes a rounded decline from a left rim, bottoms, then climbs back to a similar right rim. After returning to the rim, price forms a handle (a smaller pullback) that stays within an allowed retracement range. This pattern often precedes a bullish continuation attempt.
An Inverted Cup & Handle (Bear) is the mirrored version. Price makes a rounded rise to a left rim, tops, then declines back to a similar right rim. After returning to that rim, price forms a handle (a smaller bounce) that stays within the allowed retracement range. This pattern often precedes a bearish continuation attempt.
█ How It Works
⚪ 1) Pivot Extraction (Swing Compression)
The script first converts raw candles into a small set of meaningful swing pivots using ta.pivothigh() and ta.pivotlow() with Pivot span. A pivot is accepted only after it is confirmed by the lookback window, which helps reduce noise.
Key effect:
Higher Pivot span = fewer, stronger pivots (cleaner patterns)
Lower Pivot span = more pivots (more patterns, more noise)
⚪ 2) Pattern Framing (4-Point Structure)
When at least four pivots exist, the script maps them into a fixed sequence:
For a bull Cup+Handle sequence: High → Low → High → Low
These are treated as:
L = left rim pivot
B = cup bottom pivot
R = right rim pivot
H = handle pivot
For a bear inverted Cup+Handle sequence: Low → High → Low → High
Mapped similarly, but inverted.
This “4-pivot” structure is the minimum shape needed to define a cup and a handle without overfitting.
⚪ 3) Rim Similarity Filter (Cup Quality Control)
The script checks if the left rim and right rim are close enough to be considered a proper cup rim:
Rim similarity tolerance (%) controls this.
Lower tolerance = only very clean symmetric rims
Higher tolerance = allows uneven rims (more detections)
⚪ 4) Handle Depth Filter (Reject Weak or Messy Handles)
The handle is validated by measuring how deep it retraces relative to the cup depth:
Handle Retraction = |rim − handle| / |rim − bottom|
The handle must fall between:
Handle retrace min
Handle retrace max
This prevents:
tiny “non-handle” wiggles (too shallow)
deep pullbacks that break the structure (too deep)
█ How to Use
⚪ Interpreting a Bull Cup & Handle
Treat it like a continuation setup built around a key breakout level:
Cup forms
Handle forms
Breakout happens above this level
Once price returns to this breakout zone and the handle stays controlled, the structure may attempt to continue upward.
Common behaviors after a clean signal:
Push above the breakout level
Brief retest/acceptance near the breakout zone
Continuation toward the projected target if momentum holds
⚪ Interpreting a Bear Inverted Cup & Handle
Treat it like a bearish continuation/rollover setup built around the same breakout concept:
Cup forms (inverted)
Handle forms
Breakout happens below this level
Once price returns to this breakout zone and the handle stays controlled, the structure may attempt to continue downward.
Common behaviors after a clean signal:
Drop below the breakout level
Retest from underneath
Continuation toward the projected target if selling pressure persists
█ Settings
Pivot span – pivot sensitivity. Higher = smoother pivots, fewer signals. Lower = more pivots, more signals/noise.
Rim similarity tolerance (%) – rim quality filter. Lower = stricter symmetry, higher = more permissive detection.
Handle retrace min – minimum handle depth (filters weak handles).
Handle retrace max – maximum handle depth (filters messy/deep handles).
Invalidation (handle max retrace %) – “maximum tolerated damage” for handle move before the structure is considered broken.
Require breakout confirmation – only trigger when price closes beyond the rim in the expected direction.
Target multiplier (× cup depth) – scales how far the projection target is. Lower = closer targets; 1.0 = classic depth target.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
ED by bigmmED by bigmm identifies significant price divergences from the 200-period Exponential Moving Average (EMA) by analyzing closing and opening price extremes. This tool marks the three most recent candles with the largest percentage deviations.
Key Features
EMA200 Analysis: Uses the 200-period Exponential Moving Average as the primary reference level for measuring price deviations
Deviation Calculation: Computes percentage-based deviations for both closing (below EMA) and opening (above EMA) prices
Top 3 Extremes: Identifies and marks only the three most recent maximum deviations for each direction
Visual Simplicity: Uses minimalistic green and red dots for clear visual identification without chart clutter
Historical Analysis: Evaluates the last 1440 bars (approximately 3 years on daily timeframe) to find significant deviation patterns
Recommended Usage
Best used on higher timeframes (H4, D1, W1) for the following reasons:
Reduced Noise: Higher timeframes filter out market noise and provide cleaner deviation signals
Trend Context: EMA200 carries more significance on daily and weekly charts as a major trend indicator
Strategic Signals: Extreme deviations on higher timeframes often correspond to important support/resistance levels and potential reversal zones
Reduced False Signals: Longer timeframes minimize whipsaws and provide more reliable extreme readings
Position Trading: Ideal for swing traders and position traders who base decisions on daily or weekly price action
Ultimate CVD Suite Pro [DAFE]Ultimate CVD Suite Pro : The Institutional Flow Engine
High-Fidelity Microstructure Delta. The Revolutionary MTF Horizon Display. This is not just CVD. This is an X-Ray into the Market's Auction.
█ PHILOSOPHY: PRICE IS THE ADVERTISEMENT. ORDER FLOW IS THE TRUTH.
Standard technical analysis is a conversation with a shadow. It looks at price—the final, often deceptive, result of a hidden battle. But the professionals, the institutions, the "smart money"—they don't trade the shadow. They operate in the real world of the auction, a world of aggressive market orders and passive limit orders, a world of absorption, exhaustion, and imbalance.
The Ultimate CVD Suite Pro was engineered to give you a direct, unfiltered view into this hidden world. This is not another lagging indicator that repaints the past. It is a real-time intelligence engine. By reconstructing a high-fidelity view of the market's microstructure, it allows you to track the institutional footprint, anticipate reversals before they appear in price, and identify high-probability "kill zones" where major market players are defending their positions.
We do not chase price. We anticipate its next move by understanding the forces that create it.
█ WHAT MAKES THIS THE "ULTIMATE" SUITE? THE CORE INNOVATIONS
This is not a simple CVD indicator. It is a multi-layered, professional-grade analytics engine that stands in a class of its own.
High-Fidelity Microstructure Delta Engine: This is the heart of the suite and its greatest innovation. Standard CVD indicators are flawed because they use data from the current chart's timeframe. This engine is different. It requests data from a Lower Timeframe (LTF) and reconstructs the order flow with near tick-level precision. This provides a vastly superior, more accurate, and more responsive picture of the real buying and selling aggression.
The MTF Horizon Display: A revolutionary leap in data visualization. The Horizon projects up to three "holographic" displays of higher-timeframe metrics (CVD, Volume, RSI, etc.) directly onto your main price chart. You can now see the "Macro Flow" of the 1-Hour, 4-Hour, and Daily charts without ever leaving your 5-minute screen, allowing for instant, intuitive multi-timeframe analysis.
The Sequence Analysis Engine (E/M/L): This proprietary algorithm analyzes the DNA of order flow within each price bar. It identifies and marks the three critical phases of participation: Early (Smart Money), Mid (Trend Followers), and Late (Exhaustion/Bag Holders) with glowing "sparkles," giving you a narrative of who is in control.
Smart Kill Zone Detection: The indicator automatically identifies, plots, and tracks high-probability Supply and Demand zones. These are not based on simple price pivots. They are generated by identifying price levels where an overwhelming amount of aggressive order flow was forcefully absorbed, marking a true, institutionally defended level.
Advanced Signal Processing: It goes beyond simple CVD to detect statistically significant Imbalances (Delta spikes >3 Sigma from the mean) and Absorption (high-volume, high-delta moves that fail to move price), providing you with a complete toolkit of professional order flow concepts.
The Visualization Core: Data should be intuitive and beautiful. Choose from six distinct, animated, and theme-aware rendering modes. From the glowing "Nebula Pulse" and flowing "Aurora Borealis" to the abstract "DNA Helix," you can transform raw data into interactive data art.
█ DEEP DIVE: INTERPRETING THE FLOW
The Lower Indicator Pane: Your Engine Roo
The Delta Histogram: This is your primary readout of aggression. Tall Green bars signify aggressive buying. Tall Red bars signify aggressive selling. Look for shifts and divergences.
The Sequence Sparkles (✦ E/M/L): These glowing orbs appear within the histogram, telling you the story of the auction.
E (Early): Low volume, but directional delta. Smart money is likely initiating a position.
M (Mid): Expanding volume and strong delta. The trend is healthy and has public participation.
L (Late): Highest volume, but delta may start to weaken or reverse. This often marks the exhaustion point of a move.
The Delta Acceleration Area: A subtle background fill that shows the rate of change of the delta. A rising green fill shows that buying pressure is not just present, but increasing.
Peak/Trough Markers (✚): Automatically marks significant peaks and troughs in the cumulative delta flow, making it easy to spot divergences.
The Main Chart Overlays: Actionable Intelligence
The CVD Wave: This is the Cumulative Volume Delta, plotted and scaled directly onto your price chart. It visualizes the running total of buying vs. selling pressure. Its slope is your primary trend confirmation.
Smart Kill Zones:
Demand Zones (Green Boxes): These are areas where aggressive selling was forcefully absorbed by passive buyers. When price revisits these zones, they are high-probability areas for a bounce.
Supply Zones (Red Boxes): Areas where aggressive buying was absorbed by passive sellers. These are high-probability rejection zones.
Imbalance & Absorption Lines: These lines are projected forward from bars that showed statistically significant events. They mark precise price levels of extreme order flow that are likely to act as future support or resistance.
█ THE MTF HORIZON DISPLAY: A COMMAND CENTER FOR TIME
This is a game-changer. The MTF Horizon projects up to three fully functional, real-time indicator displays from higher timeframes directly onto your chart. You can customize each of the three "Horizons" to display any of 10 different metrics (CVD, Volume, RSI, MACD, etc.) from any timeframe you choose.
How It Works: Each Horizon is a self-contained box with a header showing the timeframe and metric. Inside, a visual representation (e.g., a "Flowing Wave" or "Gradient Bars") shows the historical and current value of that metric.
The Strategy: This allows for instant, effortless multi-timeframe analysis. Are you seeing a buy signal on your 5-minute chart? A quick glance at the Horizon tells you if the 1-Hour CVD is rising, if the 4-Hour Volume is expanding, and if the Daily RSI is in a bullish regime—all without ever leaving your chart. Confluence across all Horizons is the signature of an A++ trade setup.
█ HIGH-PROBABILITY SIGNALS: TRADING THE FLOW
🔄 Divergence (The "Trap"): The highest conviction signal. When price makes a Lower Low, but the CVD Wave on your chart makes a Higher Low, it means sellers are aggressive but failing. A short squeeze is imminent. This is a powerful long entry signal.
🧲 Absorption (The "Wall"): Detected when volume is massive, delta is high, but the price candle is small. This indicates a huge wall of passive limit orders absorbing all the aggression. Fade the aggression; trade with the wall.
⚖️ Imbalance (The "Surge"): A delta bar that is statistically extreme (e.g., >3 Sigma from the mean). This signals that one side of the market has completely overwhelmed the other. This is often a powerful trend continuation signal.
Zone Retests: When price pulls back to test a previously formed Demand or Supply Zone, it provides a low-risk, high-probability entry in the direction of the original defense.
█ DEVELOPMENT PHILOSOPHY
The Ultimate CVD Suite Pro was born from a single, guiding principle: to win in modern markets, you must stop listening to the noise of price and start analyzing the signal of flow. Price is where amateurs look; flow is where professionals find their edge. By reconstructing order flow with a precision previously unavailable on this platform and fusing it with a revolutionary multi-timeframe visualization system, this tool aims to level the playing field. It translates the opaque, complex world of the institutional auction into a clear, intuitive, and actionable intelligence system.
This tool is designed to identify the moments when the market is becoming rational again—when the underlying flow of money is so strong that it forces irrational price action to bend to its will.
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides intelligence on order flow, not financial advice. It is designed to be a core component of a comprehensive trading strategy.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose.
LTF IS KEY: For the best results, set your Lower Timeframe (LTF) appropriately. For a 15-minute chart, use 1m or 3m. For a 1-Hour chart, use 5m.
USE CONFLUENCE: The highest probability signals come from confluence. A Bullish Divergence that forms inside a Smart Demand Zone while the MTF Horizon shows bullish alignment is an A++ setup.
"The market can remain irrational longer than you can remain solvent."
— John Maynard Keynes
Taking you to school. - Dskyz, Trade with Anticipation. Trade with Volume. Trade with CVD: Suite Pro
ATR ZLEMA [QuantAlgo]🟢 Overview
The ATR ZLEMA indicator identifies trend direction and reversal points using a Zero Lag Exponential Moving Average (ZLEMA) combined with volatility-adjusted dynamic trailing stops. It eliminates the inherent lag of traditional moving averages while incorporating Average True Range (ATR) volatility measurement to create adaptive support and resistance levels that automatically adjust to market conditions, with optional noise filtering to reduce whipsaws in choppy markets, helping traders and investors identify trend changes, maintain positions during trending markets, and exit when momentum shifts across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its zero-lag trend detection system combined with volatility-adaptive trailing stops, where the ZLEMA eliminates moving average lag while ATR-based bands provide dynamic support and resistance levels:
lag = math.floor((zlemaLength - 1) / 2)
rawZlema = ta.ema(source + (source - source ), zlemaLength)
The Zero Lag EMA calculation uses lag reduction through data compensation, adding the difference between current price and lagged price to eliminate the delay inherent in traditional exponential moving averages, providing faster response to trend changes while maintaining smoothness.
The script incorporates an optional ATR-based noise filter that prevents the ZLEMA from updating during insignificant price movements, helping to reduce false signals in choppy, range-bound markets:
if enableNoiseFilter
noiseThreshold = atr * noiseFilter
priceChange = math.abs(rawZlema - zlema)
if priceChange > noiseThreshold
zlema := rawZlema
First, the indicator calculates the Average True Range to measure current market volatility, then applies a user-defined multiplier to determine the distance of the trailing stop from the ZLEMA:
atr = ta.rma(ta.tr(true), atrLength)
atrBand = atr * atrMultiplier
Next, dynamic trend detection occurs through a state-based system where the indicator tracks whether the ZLEMA is above or below the ATR trailing line, automatically adjusting the trailing stop position:
if trend == 1
if zlema < zlemaATR
trend := -1
zlemaATR := zlema + atrBand
else
zlemaATR := math.max(zlemaATR, zlema - atrBand)
The ATR trailing line acts as a volatility-adjusted stop that follows the ZLEMA during trends but never moves against the trend direction. It ratchets upward with the ZLEMA in uptrends and ratchets downward in downtrends, creating a protective barrier that adapts to market volatility.
Finally, trend reversal signals are generated when the ZLEMA crosses the ATR trailing line, indicating a shift in market momentum:
bullSignal = trend == 1 and trend == -1
bearSignal = trend == -1 and trend == 1
This creates a volatility-adaptive trend-following system that combines ZLEMA with dynamic support/resistance levels and optional noise filtering, providing traders with responsive directional signals and automatic stop-loss levels that adjust to both price momentum and market volatility conditions.
🟢 Signal Interpretation
▶ Bullish Trend (Green): ZLEMA trading above ATR trailing line with indicator showing bullish color, indicating established upward momentum with zero-lag confirmation = Long/Buy opportunities
▶ Bearish Trend (Red): ZLEMA trading below ATR trailing line with indicator showing bearish color, indicating established downward momentum with zero-lag confirmation = Short/Sell opportunities
▶ ATR Trailing Line as Dynamic Support: In uptrends, the trailing line acts as volatility-adjusted support level that rises with ZLEMA, never declining = Use as potential stop-loss reference for long positions = ZLEMA holding above indicates trend strength and momentum continuation
▶ ATR Trailing Line as Dynamic Resistance: In downtrends, the trailing line acts as volatility-adjusted resistance level that falls with ZLEMA, never rising = Use as potential stop-loss reference for short positions = ZLEMA holding below indicates trend weakness and momentum continuation
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets for different trading styles and market conditions. "Default" provides balanced configuration suitable for swing trading on daily and 4-hour charts with standard ZLEMA and ATR periods, moderate multiplier, and moderate noise filtering that works across most market conditions. "Fast Response" delivers aggressive configuration designed for intraday trading and scalping on 5-minute to 1-hour charts with shorter ZLEMA period for quick trend detection, reduced ATR period for rapid volatility adaptation, tighter multiplier for early entries/exits, and minimal noise filtering for maximum responsiveness. This is ideal for active traders monitoring positions closely but expect more frequent signals and potential whipsaws in choppy conditions. "Smooth Trend" focuses on conservative configuration for position trading and long-term trend following on daily to weekly charts with extended ZLEMA period for smoother trend identification, longer ATR period for stable volatility measurement, wide multiplier to filter minor corrections, and aggressive noise filtering to ensure only strong sustained trends trigger signals. This is best for patient traders focused on major trend moves with fewer reversals.
▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend changes and zero-lag momentum shifts. "Bullish Trend" triggers when the ZLEMA crosses above the ATR trailing line and trend state changes from bearish to bullish, signaling potential long entry opportunities with lag-eliminated confirmation. "Bearish Trend" activates when the ZLEMA crosses below the ATR trailing line and trend state changes from bullish to bearish, signaling potential short entry or long exit points with immediate momentum detection. "Any Trend Change" provides a combined alert for any trend reversal regardless of direction, allowing traders to be notified of all zero-lag momentum shifts without setting up separate alerts. These notifications enable traders to capitalize on trend changes and protect positions without continuous chart monitoring, leveraging the indicator's zero-lag technology for faster trend change alerts.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying bullish versus bearish trends across various trading environments. The adjustable cloud fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the ATR trailing line and ZLEMA, with higher transparency values (70-95) creating subtle background context without overwhelming the chart while lower values (20-40) produce bold, prominent trend zone emphasis for instant recognition. Optional bar coloring with adjustable transparency (0-100%) extends the trend color directly to the price bars themselves based on ZLEMA trend state, providing immediate visual reinforcement of current trend direction without requiring reference to the indicator lines.
EMA Based TMA Bands [NeuraAlgo]EMA Based TMA Bands
Overview
EMA Based TMA Bands is a volatility-adaptive trend and reversal indicator that combines a Triangular Moving Average (TMA) with EMA-weighted smoothing and dynamic deviation bands. It is designed to identify trend direction, overextended price conditions, and potential reversal points with high visual clarity.
The indicator plots a central TMA line along with three upper and three lower volatility bands, automatically adapting to market conditions.
Core Concepts
1. Triangular Moving Average (TMA)
The TMA is calculated using triangular weighting, giving more importance to central bars.
This creates a smoother and more stable average compared to SMA or EMA.
The TMA acts as the main equilibrium price level.
2. EMA-Weighted Enhancement
An additional EMA-style weighting is applied using a custom coefficient.
This allows fine-tuning between smoothness and responsiveness.
Lower coefficient = smoother behavior
Higher coefficient = faster reaction to price changes
Volatility Bands
The bands are calculated using a weighted variance model:
Positive and negative deviations are tracked separately.
This allows asymmetric volatility response in bullish and bearish conditions.
Band Structure
Inner Band – Primary deviation
Middle Band – 1.15× deviation
● Outer Band – 1.30× deviation
These bands help identify:
● Overbought and oversold zones
● Volatility expansion and contraction
● Mean reversion opportunities
Trend Detection
Trend direction is determined by the slope of the TMA, normalized by ATR.
● Bullish Trend: TMA slope rising beyond threshold
● Bearish Trend: TMA slope falling beyond threshold
● Flat Market: No significant slope
The TMA line automatically changes color based on trend state.
Trading Signals
Buy Signal
A buy signal is triggered when:
● Price previously closes below the lower band
● A bullish candle forms on the current bar
● Suggests rejection of lower volatility zone
Sell Signal
A sell signal is triggered when:
● Price previously closes above the upper band
● A bearish candle forms on the current bar
● Suggests rejection of upper volatility zone
Signals are displayed as small triangle markers on the chart.
Inputs
Main Settings
● TMA Period: Length of the triangular moving average
● EMA Period: Length of EMA-weighted smoothing
● EMA Coefficient: Controls EMA influence
● Band Deviation: Controls band width
● Price Source: Input price (default: HLC3)
● Trend Threshold: Sensitivity of trend detection
Art Settings
● Bullish Color: Color used for bullish bands and signals
● Bearish Color: Color used for bearish bands and signals
Best Use Cases
● Trend continuation trading
● Mean reversion strategies
● Volatility expansion setups
● Support and resistance visualization
Notes
● Best used on intraday to swing timeframes
● Works well with price action confirmation
● Not a repainting indicator, but smoothing introduces natural lag
Developed by NeuraAlgo
Market Structure Event TrendThis indicator identifies and visualizes advanced market structure
concepts (SMC) alongside classic price action analysis. It combines
robust, non-repainting pivot detection with a sophisticated engine
that tracks dual-layer trend states, structural breaks (BOS/CHoCH),
and supply/demand zones (Order Blocks).
Key Features:
1. **Non-Repainting Pivot Detection:**
- Uses a standard lookback method (`left` and `right` bars) to
identify historical pivot points.
- **Note on Confirmation:** Pivots are only confirmed *after*
the `Pivot Right Bars` input has passed. This is essential
for ensuring the signal is non-repainting, but it
introduces an inherent lag.
- Automatically classifies the sequence of pivots according to
Dow Theory: Higher Highs (HH), Higher Lows (HL), Lower Highs (LH),
and Lower Lows (LL).
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library
2. **Smart Money Concepts (SMC) Engine:**
- **Dual-Layer Structure:** The engine distinguishes between significant
**Major Structure** (Swing Points) and internal **Minor Structure**
(Sub-Structure). This allows traders to separate the overarching trend
from immediate order flow.
- **Event Detection:** Automatically identifies and visualizes key events:
- **BOS (Break of Structure):** Signals trend continuation when a
validated High/Low is broken in the direction of the trend.
- **CHoCH (Change of Character):** Signals a potential trend reversal
when a significant structural level is breached against the trend.
- **Pivot Classification:** Applies classic labels (HH, HL, LH, LL)
while also detecting Equal Highs (EH) and Equal Lows (EL) based on
a user-defined price tolerance.
3. **Automated Order Blocks:**
- Identifies potential Supply and Demand zones (Order Blocks) formed
at the precise origin of a structural break.
- **Mitigation Tracking:** The indicator monitors price action in real-time
and automatically removes or updates Order Blocks once they have been
mitigated (tested/broken) by the price.
- **Scope Awareness:** Distinguishes between Major Order Blocks (Swing origin)
and Minor Order Blocks (Internal flow origin).
4. **Trend State Visualization & Dynamic S/R:**
- A robust state machine analyzes the sequence of events to determine
the current market trend (Bullish, Bearish, or Neutral) for both
Major and Minor scopes.
- **Dynamic Step-Lines:** Visualizes the trend structure directly on the
chart, creating a "staircase" effect that highlights trailing stop levels.
- **Extended Pivot Lines:** Extends dynamic horizontal lines from confirmed
pivots that act as Support/Resistance and automatically terminate
upon a structural break.
5. **Full Customization & Alerts:**
- **Display Options:** Granular control over the visibility of Events,
Labels, Symbols, and Lines. Supports "Relative" vs "Absolute" price
change display.
- **Visual Styling:** Extensive color customization for Bullish/Bearish
scenarios and Major/Minor hierarchy.
- **Comprehensive Alerts:** Set up precise alerts for:
- New Pivot formations (e.g., "Pivot Higher High").
- Structural Events (e.g., "Major Bullish BOS detected").
- Trend State Changes (e.g., "Major Trend changed to Bullish",
"Minor Trend no longer Bearish").
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Daily Bias Trade Manager [MarkitTick]💡 The Daily Bias Trade Manager is a sophisticated technical analysis suite designed to automate the identification of high-probability intraday setups based on liquidity concepts and structural shifts. By synthesizing Previous Day High/Low (PDH/PDL) interactions with momentum confirmation and strict risk management protocols, this tool assists traders in navigating the "Daily Bias." It moves beyond simple signal generation by offering a complete trade management visualization system, projecting entries, stop losses, and take-profit levels directly onto the chart in real-time.
✨ Originality and Utility
This script distinguishes itself by integrating institutional price action theory—specifically Liquidity Sweeps and Change in State of Delivery (CISD)—with mechanical filtering. While many indicators simply highlight highs and lows, the Daily Bias Trade Manager validates these levels by analyzing what happens *after* price tests them.
It solves a common problem for intraday traders: "Analysis Paralysis." By automating the detection of structure breaks (MSS) and Fair Value Gaps (FVG) following a sweep of daily liquidity, it provides an objective framework for entry. Furthermore, the built-in "Position Box" feature removes the guesswork from trade execution by instantly calculating risk-to-reward ratios and visualizing them, allowing traders to see the feasibility of a trade before execution.
🔬 Methodology and Concepts
The core logic operates on a sequential detection model:
Liquidity Identification: The script first plots the Previous Day High (PDH) and Previous Day Low (PDL). These are critical institutional reference points where stop-loss orders (liquidity) often reside.
The Sweep: A "Sweep" is confirmed when price breaches a PDH/PDL but fails to sustain the breakout, closing back inside the previous day's range. This suggests a "Fake-out" or liquidity grab, often a precursor to a reversal.
Change in State of Delivery (CISD): Following a sweep, the script monitors local market structure. It looks for a decisive close past a recent swing point (Swing High for shorts, Swing Low for longs) within a user-defined bar window. This confirms that the counter-trend move has momentum.
Confluence Filtering: To reduce false positives, the engine applies optional filters:
RVOL (Relative Volume): Ensures the sweep occurred on significant volume (Climax behavior).
RSI Momentum: Verifies that momentum supports the reversal direction.
Trend Filter: Uses a long-term EMA to ensure trades align with the broader market direction.
Entry Model: Upon validation, the script calculates an entry at the close (or optionally at a Fair Value Gap), places a Stop Loss at the sweep extreme, and projects three Take Profit targets based on configurable R:R ratios.
🎨 Visual Guide
The indicator uses a distinct color-coded system to keep the chart clean yet informative:
● Liquidity Levels & Sweeps
Orange/Blue Lines: Represent the PDH (Previous Day High) and PDL (Previous Day Low).
Teal Shaded Zones: Indicate a "Buy-Side Sweep" (Price took highs and rejected).
Red Shaded Zones: Indicate a "Sell-Side Sweep" (Price took lows and rejected).
● Position Management Boxes
When a signal triggers, a structured box appears:
Solid Gray Line: The theoretical Entry Price.
Solid Red Line: The Stop Loss (SL), typically placed at the swing high/low of the sweep.
Dashed Blue Lines: Represent TP1, TP2, and TP3 targets based on Reward-to-Risk settings.
Labels: Data tags on the right side of the box show exact price coordinates for Entry, SL, and Targets.
● Signals & Clouds
Green "BUY" Labels: Appear below the bar when a bullish sweep and structural shift are confirmed.
Red "SELL" Labels: Appear above the bar when a bearish sweep is validated.
Yellow Clouds: Highlight Fair Value Gaps (FVG) used for entry confluence or retests.
● Multi-Timeframe (MTF) Dashboard
A panel (default: Top Right) displays the status of up to three higher timeframes.
Trend: Shows "BULL" or "BEAR" based on EMA alignment.
Liquidity: Indicates if the timeframe is "Taking Buy Liq", "Taking Sell Liq", or "Inside Range".
📖 How to Use
● Bullish Reversal Setup
Wait for price to drop below the Blue PDL Line.
Look for a Red Sell-Side Sweep Zone to form, indicating price has rejected lower prices.
Wait for the Green BUY Signal . This confirms a shift in structure (CISD) back to the upside.
Observe the Position Box. If the Risk/Reward is favorable (targets are within reasonable reach), consider the trade.
Optional: Use the "Dynamic Targets" setting to target the previous swing high instead of a fixed ratio.
● Bearish Reversal Setup
Wait for price to rally above the Orange PDH Line.
Look for a Teal Buy-Side Sweep Zone .
Wait for the Red SELL Signal confirming the rejection.
Ensure the dashboard shows alignment (e.g., Higher Timeframe Trend is Bearish) for higher probability.
● Trade Management
Enable the "ATR Trailing Stop" in settings to have the Stop Loss line dynamically adjust as price moves in your favor, locking in potential gains.
⚙️ Inputs and Settings
● General & Display
Show Daily Liquidity: Toggles the PDH/PDL lines.
Max Signals/Zones: Limits the visual clutter by restricting historical shapes.
● Detection Logic
Swing Detection Length: Controls the sensitivity of pivot points. Higher numbers = fewer, more significant swings.
CISD Window: How many bars after a sweep are allowed for the structure shift to occur.
Use FVG Entry: If true, the signal waits for a retest of a gap rather than entering immediately at the close.
● Filters
Volume (RVOL): Requires the sweep candle volume to be X times larger than average.
Trend Filter: Only allows Buy signals above the EMA and Sell signals below it.
Session Filter: Restricts signals to specific hours (e.g., New York Killzone).
● Targets & Management
Target R:R: Sets the multiplier for TP1, TP2, TP3 relative to the stop loss distance.
Use Dynamic Targets: Targets structural liquidity (Previous Highs/Lows) instead of fixed math ratios.
ATR Trailing Stop: Activates the trailing stop mechanism.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is grounded in the principles of Market Microstructure and Mean Reversion theory .
1. Liquidity Pools & Stop Runs:
Academic literature on market microstructure suggests that order flow clusters around obvious visual references (PDH/PDL). Large market participants often utilize this "resting liquidity" to fill large block orders with minimal slippage. The "Sweep" logic detects this absorption phase.
2. Volatility Breakout vs. Fake-out:
The script differentiates between a genuine breakout and a mean-reverting "fake-out" by analyzing the Close relative to the Range . A close back within the prior day's range after a breach signifies a failure of auction in the new territory, statistically increasing the probability of a reversion to the mean (equilibrium).
3. Momentum Validation (RSI & RVOL):
By integrating Relative Volume (RVOL) and RSI, the script applies statistical significance testing to the price action. High volume at a range extreme without price progress (the sweep) indicates "Stopping Volume" or absorption, a key concept in Volume Spread Analysis (VSA).
🙏 Gratitude
I would like to express my gratitude to harry040708 for sharing the insightful idea that made this script possible.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Smart Pivot Trend█ OVERVIEW
Smart Pivot Trend is a market structure–based trend indicator that combines swing pivots, volatility adaptation (ATR), and dynamic range levels to determine which side of the market is in control — buyers or sellers. Instead of moving averages, trend direction is defined through structural breaks inside pivot ranges.
The indicator visualizes the active trend, evolving market structure, and historical support/resistance levels created at moments of control shifts. It helps identify trend transitions, structure breaks, and areas where price has an increased probability of reaction.
█ CONCEPT
Built around adaptive swing structure. The core idea is that trend emerges from market structure, not from price relative to an average.
- Swing highs and swing lows form the current structural range.
- Two internal percentage-based levels inside this range act as decision zones.
- Break above the upper level → bullish control.
- Break below the lower level → bearish control.
To prevent structure from becoming outdated during strong moves, pivots are dynamically adjusted when price deviates beyond ATR × multiplier. This mechanism makes the structure volatility-aware rather than static.
As a result, the indicator combines:
- a dynamic, living market structure (active pivot trend)
- static “market memory” levels marking previous control shifts
█ FEATURES
Calculations
- Swing pivots as the foundation of market structure
- Internal range levels as structural decision zones
- ATR-based adaptive pivot correction (volatility-aware structure)
- Smooth Factor — controls the degree of structural correction relative to price; defines how fast pivots adapt during strong moves
- Trend change detection through structural range breaks
Visualization
- Active trend line based on current structure
- Historical support/resistance levels plotted at trend flips
- Triangles marking breaks of those levels
- Gradient fill between price and the active trend line
- Trend-based coloring (green = bullish, red = bearish)
- Optional candle coloring based on current structural trend (bullish / bearish control)
Signals
- BUY / SELL — on structural trend changes
- Bullish Break / Bearish Break — when historical levels are broken
- Impulse breaks (when candles break levels with strong momentum)
Alerts
- Trend change to bullish
- Trend change to bearish
- Resistance break
- Support break
█ HOW TO USE
Main settings:
- Swing Length — sensitivity of swing detection
- Lower / Upper Level — internal structural decision levels
- ATR Length / Multiplier — influence of volatility on pivot adaptation
- Smooth Factor — speed of structural adjustment to price
- Visual options — colors, hiding lines, deleting broken levels, color candles by trend
Trend logic:
- Price above active pivot low → bullish structure
- Price below active pivot high → bearish structure
█ APPLICATION
Trend-following
- The indicator can act as a directional filter for signals from other tools.
- Entries are taken only when signals from external indicators (e.g., RSI, MACD, momentum tools, price action setups, breakout systems) align with the current Smart Pivot Trend direction.
- Highest probability occurs when entries happen during pullbacks to the active trend line in the direction of the prevailing structure.
Market structure shifts
- A trend flip represents a transfer of control between buyers and sellers.
- These moments often precede larger moves because the swing structure changes.
Breakout trading
- Historical levels mark areas where control previously changed.
- Their break often leads to volatility expansion and impulsive movement.
Pullback trading
- The active trend line acts as dynamic support/resistance.
- Pullbacks to this line in strong trends often provide favorable risk-to-reward setups.
█ ADAPTATION TO TRADING STYLE
The Swing Length and Smooth Factor parameters allow the indicator to be tailored to different trading styles:
Shorter Swing Length + higher Smooth Factor
- structure reacts faster
- more frequent trend shifts
- suitable for scalping and intraday trading
Longer Swing Length + lower Smooth Factor
- slower structural changes
- filters minor fluctuations
- better suited for swing trading and longer-term positions
This allows the indicator to function both as a fast micro-structure engine and as a stable higher-level trend filter.
█ NOTES
- This is a structural analysis tool, not a standalone trading system
- Best results come when combined with key S/R levels, higher timeframe context, and price action
- In ranging markets, trend flips may occur more frequently — a natural behavior of structure-based systems
Best Buying & Selling Flip Zone @MaxMaserati 3.0Best Buying & Selling Flip Zone 3.0 🐂🐻
Best Buying & Selling Flip Zone 3.0 is an advanced, multi-timeframe Price Action tool designed to identify high-probability institutional supply and demand zones.
By analyzing candle range and body size (Expander vs. Normal candles), this indicator categorizes market structure shifts into three distinct tiers of strength (A+++, A++, A+). It includes a built-in Trade Manager, Volume Tracking, and a unique "Defender/Attacker" Multi-Timeframe (MTF) entry confirmation system.
🚀 Key Features
Multi-Timeframe Analysis: Monitor Higher Timeframe (HTF) zones while trading on a Lower Timeframe (LTF).
Tiered Setup Grading: Automatically classifies zones based on the strength of the candle engulfing action (King Slayer, Crusher, Drift).
Smart Entry Confirmation: The script can wait for price to tap an HTF zone and then automatically search for a confirmation pattern on the current timeframe before signaling a trade.
Built-in Trade Management: Visualizes Entry, Stop Loss (SL), and Take Profit (TP) levels with customizable Risk:Reward ratios.
Volume Tracking: Monitors the volume utilized to create a zone and tracks "remaining" volume as price tests the zone.
Zone Deletion Logic: Automatically removes zones that have been invalidated by either a wick or a candle close.
🧠 How It Works: The "A-Grade" Logic
The indicator analyzes candles based on their body-to-range ratio to define "Expander" (Explosive move) vs. "Normal" candles. It then looks for engulfing behaviors to create zones:
A+++ (King Slayer):
Logic: A Bullish Expander engulfs a Bearish Expander (or vice versa).
Significance: This is the strongest signal, indicating a massive shift in momentum where aggressive buyers completely overwhelmed aggressive sellers.
A++ (Crusher):
Logic: A Bullish Expander engulfs a Bearish Normal candle.
Significance: Strong momentum overcoming standard price action. High probability.
A+ (Drift):
Logic: A Bullish Normal candle engulfs a Bearish Normal candle.
Significance: A standard flip zone. Good for continuation plays but less aggressive than KS or CR setups.
🛠️ Functionality Guide
1. General Filters & Timeframes
Higher Timeframe: Select a timeframe higher than your chart (e.g., Select 4H while trading on 15m). The indicator will draw the major zones from the 4H.
Deletion Logic:
Wick (Hard): Zone is removed immediately if price touches the invalidation level.
Close (Soft): Zone is removed only if a candle closes past the invalidation level.
2. LTF Entry Confirmation (The "Master" Switch)
When Show LTF Entry Logic is enabled, the indicator does not signal immediately upon an HTF zone creation. Instead:
It waits for the price to retraced and touch the HTF zone.
Once touched, it scans the current timeframe for a valid flip setup (KS, CR, or DR).
It creates a tighter entry box and draws trade lines only when this confirmation occurs.
3. Trade Management
Risk:Reward: Set your desired RR (e.g., 2.0).
SL Padding: Add breathing room (ticks) to your Stop Loss.
SL Source: Choose between a safer Stop Loss (based on the HTF zone) or a tighter Stop Loss (based on the LTF confirmation candle).
4. Volume Stats
Labels display the volume involved in the zone's creation. As price taps the zone, the volume is "depleted" from the label, giving you insight into the remaining order flow absorption.
🎨 Visual Customization
Colors: Fully customizable colors for Buyers (Green) and Sellers (Red) zones across all three strength tiers.
Labels: Toggle technical names, touch counts, and timeframe labels.
Lines: Option to show "Aggressive Open Lines" to mark the exact opening price of the flip zone extended forward.
⚠️ Disclaimer
This tool is for educational purposes and chart analysis assistance only. Past performance of a setup (A+++/King Slayer) does not guarantee future results. Always manage risk and use this in conjunction with your own trading strategy.
Simple moving averageThis indicator is based on simple moving average
if you are struggling where to get in to the market it can help you to fine the entries by increasing moving average number you can remove the wrong buy sell signals.
THMA ~ CharonQuantTHMA is a high-precision trend following indicator designed to detect market transitions early while filtering out low-quality, low-momentum conditions.
Built on the Hull Moving Average framework, THMA extends the concept into a triple-nested structure that significantly reduces lag without sacrificing smoothness. The result is a fast, stable trend line that adapts well to volatile markets such as crypto, forex, and intraday equities.
Signals are not generated in isolation. Every long or short condition is validated through three independent filters :
Trend alignment via a higher-timeframe EMA
Directional control using DI (+DI / −DI)
Trend strength confirmation through ADX
Only when all filters align does a final signal trigger, helping suppress noise and whipsaw during ranging markets.
Visual Design
Persistent THMA state coloring
Long, muted gold (#D4A017)
Short, deep burgundy (#6B2A3A)
Lighter confirmation states when conditions are partially met
Trend EMA and dynamic price reference
ADX with threshold displayed in a separate pane
Alerts
Two native alert conditions are included:
THMA Long
Fires when finalLong becomes true
Condition, price > THMA, price > Trend EMA, ADX > threshold, +DI > −DI
THMA Short
Fires when finalShort becomes true
Condition, price < THMA, price < Trend EMA, ADX > threshold, −DI > +DI
Alert messages include exchange and ticker placeholders for automation and webhook use.
Important
No indicator replaces discipline or context.
THMA exists to reduce uncertainty, not eliminate risk.
Use it to escort price through volatility, not to chase it.
Root Deviation Loop | Lyro RSThe Root Deviation Loop indicator is a multi-mode trend signal tool that detects price momentum and breakout conditions using Root Mean Square Deviation (RMSD) instead of standard deviation. It provides a flexible framework for analyzing market conditions through three distinct signal generation methods: Bollinger Band-style deviation, a loop-based scoring system, and a hybrid combined signal. These modes help highlight trend continuation or reversal zones with a focus on smoothing out noise and avoiding extreme outlier effects.
Indicator Modes
Bollinger-Style RMSD Bands
This mode plots upper and lower volatility bands using RMSD around a selected moving average. RMSD is used instead of standard deviation for a more stable measurement of price dispersion. The formula for the bands is:
Upper Band = Moving Average + (RMSD × Multiplier)
Lower Band = Moving Average − (RMSD × Multiplier)
The bands dynamically expand and contract based on market volatility. Crossovers above or below these bands are used to signal trend shifts or breakouts.
For-Loop Momentum Scoring
This mode calculates a loop-based trend score by comparing the RMSD-weighted source to its historical values within a defined range. The loop evaluates the directional bias of price changes:
If the current value is greater than past values, it adds to the score.
If it is lower, it subtracts from the score.
This produces a net momentum score used to determine bullish or bearish dominance.
RMSD Weighted Source = (Price × RMSD) / RMSD
Score = Sum over loop: (src > src ) ? +1 : -1
Combined Signal
This mode merges the outputs of the Bollinger RMSD and For-Loop modes. It averages both signals into a single composite score. A long or short signal is generated based on whether the combined score crosses above or below user-defined thresholds.
Signal Interpretation
In the Bollinger Bands mode, signals are generated based on price interaction with the RMSD bands:
A long signal occurs when price crosses above the upper RMSD band
A short signal occurs when price crosses below the lower RMSD band
No signal is produced when price remains between bands
These signals suggest potential breakout points when price momentum exceeds recent volatility-defined boundaries.
⚠️Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Buyside & Sellside Liquidity (5m & 15m)liquidity blocks
sellside liquidity
buyside liquidity
inverse liquidity blocks
DEMA Volatility SuperTrend | RakoQuantDEMA Volatility SuperTrend is a clean trend-regime indicator built for volatile markets such as crypto.
It combines a Double Exponential Moving Average (DEMA) baseline with a standard deviation volatility envelope, then applies classic SuperTrend trailing logic to produce persistent bullish and bearish regimes.
This tool is designed for traders who want a smooth but responsive trend structure without relying on ATR alone.
Core Concept
This indicator answers one simple question:
Are we currently in a bullish trend regime or a bearish trend regime?
It does this by building a dynamic volatility corridor around a DEMA baseline and flipping only when price breaks beyond the active band.
How It Works
1. DEMA Baseline (fast + low lag)
A DEMA is used instead of a normal EMA to reduce lag while maintaining smooth trend behavior.
2. Volatility Engine (Standard Deviation)
Volatility bands are created using:
Raw Source Volatility
Classic standard deviation behavior
Residual vs Baseline Volatility
Measures deviations from the DEMA baseline for cleaner regime detection
Band formula:
Upper Band = baseline + multiplier × stdev
Lower Band = baseline − multiplier × stdev
3. SuperTrend Trailing Regime Logic
Instead of flipping every touch, the bands trail using SuperTrend persistence rules:
Bull regime → active lower band acts as support
Bear regime → active upper band acts as resistance
Flips occur only when price breaks beyond the trailing band.
Visual System
Bull regime: Ice-Blue active band
Bear regime: Violet active band
Optional faint inactive bands provide structure
Optional fill highlights the active regime corridor
Optional candle painting matches the regime state instantly
Alerts Included
Bull Flip Alert → regime turns bullish
Bear Flip Alert → regime turns bearish
Perfect for automation or regime-based filtering.
How to Use
✅ Trend filter for swing trading
✅ Regime confirmation layer for systems
✅ Works best on higher timeframes (4H / 1D)
✅ Combine with momentum or breakout triggers for entries
Inputs Summary
DEMA Length → baseline responsiveness
Volatility Length + Multiplier → band width + sensitivity
Volatility Mode → raw vs residual volatility
Flip Source → Close or HL2 for regime switching
Visual toggles → fill, candles, inactive rails
Screenshot Placement
📸 Example chart / screenshot:
Tip: show one bullish flip + one bearish flip with candle painting enabled.
RLP V4.3 -Long Term Support/Resistance Levels (Refuges-Shelters)// Introduction //
We have utilized the Zigzag library technology from ©Trendoscope Pty Ltd for Zigzag generation, allowing users the freedom to choose which of the different Zigzags calculated by Trendoscope as "Levels and Sub-Levels" is most suitable for generating ideal phases for evaluation and selection as "most preponderant phases" over long-term periods of any asset, according to its particular behavior based on its age, volatility, and price trend.
// Theoretical Foundation of the Indicator //
Many traditional institutional investors use the latest higher-degree market phase that stands out from others (longest duration and greatest price change on daily timeframe) to base a Fibonacci retracement on whose levels they open long-term positions. These positions can remain open to be activated in the future even years in advance. The phase is considered valid until a new, more preponderant phase develops over time, at which point the same strategy is repeated.
// Indicator Objectives //
1) Automatically find the latest most preponderant long-term phase of an asset, analyzing it on daily timeframe while considering whether the long-term market trend is bullish or bearish.
2) Draw a Fibonacci Retracement over the preponderant phase (reversed if the phase is bullish).
3) The indicator automatically numbers and locates the 3 most preponderant phases, selecting Top-1 for initial Fibo drawing.
4) If the user disagrees with the indicator's automatic selection, they have the freedom to choose any of the other 2 Top phases for the Fibo drawing and its levels.
5) If the user disagrees with the amplitude or frequency of the initially drawn Zigzag phases, they can modify the Zigzag calculation algorithm parameters until one of the Top-3 matches the phase they had in mind.
6) As an experimental bonus, the indicator runs a popularity contest (CP) of "bullseye" daily price (OHLC) matches, subject to user-defined tolerance ranges, against all Fibo levels of the Top 3 selected phases, to verify which phase the market prices are validating as the most popular for placing trades. Contest results are displayed in the POP. CONTEST column of the Top-3 phases table. If the contest detects a change in the winning phase, a switch can be enabled to activate an alert that the user can utilize with TradingView's alert creator to display an alarm, send an email, etc.
7) This indicator was designed for users to find the preponderant long-term phase of their assets and manually record the date-price coordinates of the i0-i1 anchors of the preponderant phase. The Top-1 phase coordinates are shown in the Top-3 phases table where they can be captured. The date-price coordinates of all HH and LL pivots, from all Zigzag phases, can be displayed via a switch. With the pivots, the user can select a different phase than those automatically found by the indicator, according to the conclusions of their own research. Subsequently, the user can forget about this RLP indicator for a while and move on to apply in their normal trading our RLPS indicator (Simplified Long-Term Shelters), in which they can draw and simultaneously track the long-term shelters of up to 5 different assets, simply by entering their corresponding date-price coordinates, previously located with this RLP indicator or through their own observation.
// Additional Notes //
1) As of the this V4.3 publication date (01/2026), the Zigzag generation parameters were adjusted by default to find the long-term preponderant phases for the following assets: Bitcoin, Ethereum, Bitcoin futures BTC1! (all generated due to the 2020-2021 pandemic). It also provides by default the confirmed preponderant phases for the following assets: Apple, Google, Amazon, Microsoft, PayPal, NQ1!, ES1! and SP500 Cash.
2) Prices, phases, and levels shown on the graphic chart correspond to results obtained using daily Bitcoin data from the Bitstamp exchange, BTCUSD:BITSTAMP (popular here in Europe).
3) Any error corrections or improvements that can be made to the phase selection algorithms or the CP phase popularity contest algorithm will be highly appreciated (statistics and mathematics, among many other sciences, are not particularly our strong suit).
4) We sincerely regret to inform you that we have not included the Spanish translation previously provided, due to our significant concern regarding the ambiguous rules on publication bans related to indicators.
4) Sharing motivates. Happy hunting in this great jungle!
EUR/USD: EUR USD 5 MIN SCALPING by Scalper Pro Systems// DISCLAIMER:
// This script is for educational purposes only. It is not financial advice.
// Past performance does not guarantee future results.
// Use this tool at your own risk.
EUR/USD: EUR USD 5 MIN SCALPING by Scalper Pro Systems
Overview
This is a plug-and-play scalping system designed specifically for the EUR/USD 5-Minute chart . Created by Scalper Pro Systems , it simplifies intraday trading by automatically generating Buy/Sell signals with precise Take Profit and Stop Loss levels.
How It Works
The strategy uses a "Safety First" approach to find stable entries:
1. Trend Filter (EMA 200): Ensures you only trade with the main trend (Buy only if price is above; Sell only if price is below).
2. Entry Trigger (EMA 9 & 21): Identifies short-term momentum shifts.
3. Noise Filter (RSI): Prevents entering trades when momentum is weak or exhausted.
Main Features
🟢🔴 Clear Signals: Draws Green (Buy) and Red (Sell) boxes directly on the chart.
📉📈 Auto TP & SL: Instantly calculates your Stop Loss (based on recent swing lows/highs) and Take Profit (1.5x risk) and displays the exact price numbers.
⏱️ Live Tracking: The system tracks the trade for you and marks exactly when and where the Target or Stop Loss was hit.
📊 Dashboard: Shows Signal Time, Entry Price, TP, and SL in a clean information box.
Best Settings
Timeframe: 5 Minutes
Asset: EUR/USD (Can also be used on Gold/XAUUSD or Indices)
Session: Best used during London or New York sessions.
Risk Warning
Trading involves risk. This tool helps visualize a strategy but does not guarantee profits. Always manage your risk.
[COG] NautilusOverview
This indicator combines multiple technical analysis tools to identify high-probability entry points in trending markets. It uses moving average crossovers for trend direction, Bollinger Bands for mean reversion opportunities, and optional filters to reduce false signals and avoid choppy market conditions.
What Makes This Indicator Unique
Heiken Ashi Toggle:
All calculations can be performed on either regular or Heiken Ashi candles with a single click
Multi-Layer Filtering System: Four independent filters work together to improve signal quality
First Entry Detection: Automatically identifies and labels the first signal after a trend change
Anti-Overtrading Protection: Built-in cooldown mechanism prevents signal spam
Core Components
1. Trend Detection (EMA/SMA Crossover)
The indicator uses a 15-period EMA and 50-period SMA to determine market direction. Buy signals only occur when EMA > SMA, and sell signals only when EMA < SMA.
// Trend Detection
bullishTrend = ema15 > sma50
bearishTrend = ema15 < sma50
2. Bollinger Bands Mean Reversion
Entry signals trigger when price touches or penetrates the Bollinger Bands, indicating potential reversal or pullback opportunities within the established trend.
//Bollinger Band Touch Detection
lowerBandTouch = selectedLow <= bbLower
upperBandTouch = selectedHigh >= bbUpper
// Base Entry Conditions
baseBuySignal = bullishTrend and lowerBandTouch and bullishClose
baseSellSignal = bearishTrend and upperBandTouch and bearishClose
3. Candle Confirmation
Signals require a bullish candle close (close > open) for buy signals and bearish candle close (close < open) for sell signals, ensuring momentum alignment.
// Candle Close Type
bullishClose = selectedClose > selectedOpen
bearishClose = selectedClose < selectedOpen
Optional Filters (All Toggleable)
Filter 1: StochRSI Momentum
Ensures entries occur during oversold/overbought conditions. Buy signals require StochRSI < 20, sell signals require StochRSI > 80.
// StochRSI Calculation
rsi = ta.rsi(stochRSISource, rsiLength)
stochRSI_K = ta.sma(ta.stoch(rsi, rsi, rsi, stochRSILength), stochKSmooth)
// Filter Conditions
stochRSIOversoldCondition = stochRSI_K < stochRSIOversold
stochRSIOverboughtCondition = stochRSI_K > stochRSIOverbought
Filter 2: MA Separation (Anti-Chop)
Blocks signals when moving averages are too close together, indicating sideways/choppy market conditions. Default threshold is 1% separation.
// Calculate percentage separation between EMA and SMA
maSeparationPct = (math.abs(ema15 - sma50) / sma50) * 100
// MA separation filter condition
maSeparationValid = maSeparationPct >= maSeparationThreshold
Why this matters: When the 15 EMA and 50 SMA are very close (< 1% apart), the market is typically consolidating. Signals in these conditions have lower win rates.
Filter 3: Cooldown Period
Prevents over-trading by blocking new signals for a specified number of bars (default: 10) after a signal occurs. Buy and sell cooldowns are tracked separately.
// Variables to track the bar index of the last signal
var int lastBuySignalBar = na
var int lastSellSignalBar = na
// Calculate bars since last signal
barsSinceLastBuy = na(lastBuySignalBar) ? 999999 : bar_index - lastBuySignalBar
// Cooldown filter condition
buyCooldownValid = barsSinceLastBuy >= cooldownBars
// Update tracking when signal fires
if buySignal
lastBuySignalBar := bar_index
Advanced Features
Heiken Ashi Mode
Toggle between regular candles and Heiken Ashi candles for all calculations. Heiken Ashi candles smooth price action and can reduce false signals in volatile markets.
// Fetch Heiken Ashi OHLC values
= request.security(
ticker.heikinashi(syminfo.tickerid),
timeframe.period,
)
// Select which OHLC to use based on toggle
selectedClose = useHeikenAshi ? haClose : close
First Entry Detection
Automatically identifies and labels the first signal after a trend change with "1. Trend Cycle Entry" text. This helps traders distinguish between fresh trend entries and continuation signals.
// Detect trend changes
trendChangedToBullish = bullishTrend and not bullishTrend
// Reset tracking when trend changes
if trendChangedToBullish
hadBuySignalInCurrentBullTrend := false
// Identify first signal in new trend
isFirstBuyInTrendCycle = buySignal and not hadBuySignalInCurrentBullTrend
How Signals Are Generated
The indicator uses a layered approach where each condition must be satisfied:
// Apply all filters
buySignal = enableBuySignals and baseBuySignal and
(not enableStochRSIFilter or stochRSIOversoldCondition) and
(not enableMASeparationFilter or maSeparationValid) and
(not enableCooldownFilter or buyCooldownValid)
Buy Signal Requirements:
✅ 15 EMA above 50 SMA (bullish trend)
✅ Candle low touches or goes below lower Bollinger Band
✅ Candle closes bullish (green)
✅ (Optional) StochRSI < 20
✅ (Optional) MA separation > threshold %
✅ (Optional) Cooldown period expired
Sell Signal Requirements:
✅ 15 EMA below 50 SMA (bearish trend)
✅ Candle high touches or goes above upper Bollinger Band
✅ Candle closes bearish (red)
✅ (Optional) StochRSI > 80
✅ (Optional) MA separation > threshold %
✅ (Optional) Cooldown period expired
Customization Options
Moving Averages:
Adjustable EMA length (default: 15)
Adjustable SMA length (default: 50)
Source selection (Close, Open, High, Low, HL2, HLC3, OHLC4)
Bollinger Bands:
Adjustable length (default: 20)
MA type selection (SMA, EMA, SMMA, WMA, VWMA)
Adjustable standard deviation multiplier (default: 2.0)
StochRSI Filter:
Adjustable RSI length (default: 14)
Adjustable Stochastic length (default: 14)
Customizable oversold/overbought levels (default: 20/80)
MA Separation Filter:
Adjustable minimum separation percentage (default: 1.0%)
Cooldown Filter:
Adjustable cooldown period in bars (default: 10)
Visual Settings:
Customizable colors for all elements
Adjustable line widths
Toggle first entry labels on/off
How to Use
Basic Setup: Apply the indicator to your chart. By default, it shows moving averages, Bollinger Bands, and entry signals.
Choose Your Mode: Enable Heiken Ashi mode if you prefer smoother signals and are willing to accept some lag.
Enable Filters: Start with all filters disabled to see raw signals. Then enable filters one by one:
Start with MA Separation filter to avoid choppy markets
Add StochRSI filter to catch better momentum conditions
Add Cooldown filter to prevent over-trading
Adjust Parameters: Tune the parameters based on your timeframe and trading style:
Lower timeframes: Consider shorter cooldown periods
Higher timeframes: May want tighter MA separation requirements
Watch for First Entry Labels: The "1. Trend Cycle Entry" label highlights the highest-probability signals occurring right after trend changes.
Important Notes
⚠️ This indicator does not repaint. All signals appear on closed candles only.
⚠️ Past performance is not indicative of future results. This indicator should be used as part of a complete trading strategy with proper risk management.
⚠️ Filters reduce signal frequency: Enabling multiple filters will significantly reduce the number of signals. This is intentional to improve quality over quantity.
⚠️ Heiken Ashi mode considerations: While HA mode smooths signals, it can also introduce lag. Test both modes on your preferred timeframe.
Best Practices
Always backtest on your preferred timeframe before live trading
Start conservative with tighter filters, then loosen if needed
Pay special attention to "First Entry" signals for highest probability setups
Use appropriate position sizing and stop losses
Consider market conditions: trending vs ranging
Disclaimer
This indicator is for educational purposes only and should not be considered financial advice. Trading involves substantial risk of loss. Always do your own research and consider your risk tolerance before trading.
