Coppock Normalized (Z-score) [v6]//@version=6
indicator("Coppock Normalized (Z-score) ", overlay=false)
// ┌─ 입력값
rocLen1 = input.int(14, "ROC1 Length", minval=1)
rocLen2 = input.int(11, "ROC2 Length", minval=1)
wmaLen = input.int(10, "WMA Length", minval=1)
zLen = input.int(200, "Z-score Lookback", minval=5)
signalLen = input.int(5, "Signal SMA", minval=1)
tfCalc = input.timeframe("", "Calc Timeframe (optional, e.g., 1M)")
thPos = input.float( 1.5, "Upper Threshold (Z)")
thNeg = input.float(-1.5, "Lower Threshold (Z)")
// ┌─ 소스 시계열 (고타임프레임 옵션 지원)
src = tfCalc == "" ? close : request.security(syminfo.tickerid, tfCalc, close)
// ┌─ 코폭 커브 (전통식): WMA of (ROC(14) + ROC(11))
roc1 = ta.roc(src, rocLen1)
roc2 = ta.roc(src, rocLen2)
coppock_raw = ta.wma(roc1 + roc2, wmaLen)
// ┌─ Z-score 정규화: (x - mean) / stdev
meanC = ta.sma(coppock_raw, zLen)
stdevC = ta.stdev(coppock_raw, zLen)
z = (stdevC == 0.0 or na(stdevC)) ? na : (coppock_raw - meanC) / stdevC
// ┌─ 시그널(스무딩)
zSignal = ta.sma(z, signalLen)
// ┌─ 보조선
h0 = hline(0.0, "Zero", color=color.new(color.gray, 0))
hUp = hline(thPos, "Z Upper", color=color.new(color.teal, 0))
hDn = hline(thNeg, "Z Lower", color=color.new(color.purple, 0))
fill(h0, hDn, color=color.new(color.red, 85))
fill(h0, hUp, color=color.new(color.green, 88))
// ┌─ 플롯
plot(z, title="Coppock Z", color = z >= 0 ? color.new(color.green, 0) : color.new(color.red, 0), linewidth=2)
plot(zSignal, title="Signal", color = color.new(color.blue, 0), linewidth=1)
// ┌─ 보조 정보(기울기)
zSlope = ta.change(z)
plot(zSlope, title="Z Slope (ΔZ)", color=color.new(color.orange, 0), linewidth=1, display=display.none)
// ┌─ 알림 조건
alertcondition(ta.crossover(z, 0), "Z crosses above 0", "Coppock Z crossed above 0")
alertcondition(ta.crossunder(z, 0), "Z crosses below 0", "Coppock Z crossed below 0")
alertcondition(ta.crossover(z, thNeg), "Z crosses above Lower", "Coppock Z crossed above Lower threshold")
alertcondition(ta.crossunder(z, thPos), "Z crosses below Upper", "Coppock Z crossed below Upper threshold")
alertcondition(ta.crossover(z, zSignal), "Z crosses above Signal", "Coppock Z crossed above Signal")
alertcondition(ta.crossunder(z, zSignal), "Z crosses below Signal", "Coppock Z crossed below Signal")
// ┌─ 상태 라벨
var label lb = na
if barstate.islast and not na(z)
label.delete(lb)
lb := label.new(bar_index, z, style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 20))
Candlestick analysis
Quantura - Fair Value GapIntroduction
“Quantura – Fair Value Gap” is a precision-engineered institutional concept indicator designed to automatically identify, visualize, and manage Fair Value Gaps (FVGs) across any market or timeframe. It enables traders to observe price inefficiencies, potential liquidity voids, and retracement areas that often act as magnets for price rebalancing.
Originality & Value
Unlike many public FVG scripts that only highlight candle gaps, this indicator integrates dynamic filters and adaptive logic to determine the strength and reliability of each gap. It merges overlapping zones intelligently and optionally extends valid imbalances forward for ongoing reference.
Its value lies in:
Dynamic statistical filtering based on gap standard deviation.
Optional volume confirmation for high-confidence FVGs.
Automatic merging of overlapping or adjacent gaps for clean visualization.
Support for both bullish and bearish imbalances.
Signal alerts when gaps are filled or rebalanced by price.
Functionality & Core Logic
Detects Fair Value Gaps by comparing candle-to-candle price displacement.
Applies a Gap Filter (standard deviation-based) to qualify valid gaps.
Optionally validates gaps formed under significant volume conditions.
Draws color-coded boxes to mark bullish (discount) and bearish (premium) inefficiencies.
Monitors each FVG until price fills the gap, at which point the box is visually closed.
Provides optional signal markers (“▲” or “▼”) when rebalancing occurs.
Parameters & Customization
Gap Filter: Sets the minimum statistical deviation required for a valid FVG. Higher values detect fewer, stronger gaps.
Volume Filter: Toggles additional validation using relative volume strength.
Volume Sensitivity: Adjusts how much above-average volume must be present to confirm a gap.
Bullish/Bearish Colors: Customize color schemes for imbalance zones.
Extend Gaps: Optionally extend open gaps forward for better confluence tracking.
Signals: Enables or disables gap-fill signal markers.
Visualization & Display
Bullish FVGs: Appear in blue-tinted boxes, indicating potential demand-side inefficiencies.
Bearish FVGs: Appear in red-tinted boxes, representing potential supply-side inefficiencies.
Overlapping zones are merged automatically to maintain clarity.
Filled gaps remain visible for historical context, allowing for post-event analysis.
Optional signal arrows display when price returns to rebalance an FVG.
Use Cases
Identify institutional inefficiencies and liquidity voids.
Detect premium and discount levels in trending markets.
Combine with market structure or order block indicators for confluence.
Track when price rebalances inefficiencies to refine entry/exit points.
Build FVG-based algorithmic strategies that rely on structural imbalance resolution.
Limitations & Recommendations
The indicator detects structural imbalances but does not predict future direction or guarantee profitability.
Volume filters may behave differently across brokers due to data-source differences.
Use alongside structure or liquidity tools for enhanced decision-making.
Extreme volatility or illiquid assets may generate temporary invalid gaps.
Markets & Timeframes
Compatible with all markets (crypto, forex, equities, indices, futures) and all timeframes. Recommended for multi-timeframe confluence analysis — e.g., detecting higher-timeframe FVGs and refining lower-timeframe entries.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description adheres fully to TradingView’s House Rules and Script Publishing Requirements . It provides a detailed explanation of originality, core logic, limitations, and appropriate use — with no unrealistic or misleading performance claims.
ATHENS GOLD MASTER v1.1e — by ATHENSATHENS GOLD MASTER v1.1e — by ATHENS
Professional Smart-Money-Based Gold Trading System
Built with institutional precision and ICT logic for XAUUSD traders.
⚙️ Core Strategy Components
✅ ICT Premium/Discount Model
✅ Daily Pivot Points & Price Bias
✅ Order Block & Break of Structure Detection
✅ Fair Value Gap (FVG) Mitigation Logic
✅ Dynamic Support & Resistance Recognition
✅ Candlestick + Chart Pattern Confirmation
✅ Multi-Timeframe Structure Alignment
💡 How It Works
The indicator scans real-time GOLD price action and generates Buy / Sell signals only when 3 or more confirmations align across smart money and technical confluence.
Each signal is visually marked on the chart with labels showing:
Confirmation count (1–5)
Key structure notes (Pivot, OB, FVG, etc.)
Support/Resistance zone tags
🧠 Optional Filters for Accuracy (90%+)
EMA-200 Trend Filter
ATR Volatility Filter
Volume Strength Filter
Session-Time Restriction (London–New York Overlap)
🟩 Buy Signal Example
Price above Pivot & in Discount Zone
Bullish Order Block Retest
FVG Mitigation Confirmed
Bullish Engulfing / Pin-Bar Confirmation
🟥 Sell Signal Example
Price below Pivot & in Premium Zone
Bearish Order Block Retest
FVG Mitigation Confirmed
Bearish Engulfing / Pin-Bar Confirmation
📊 Extra Features
Live Bias Table (Panel)
Selective Smart S/R Zones
Auto Session Filter
Alerts for Buy, Sell, and Strong Confluences
Best for: Gold Traders, ICT Students, Smart-Money Concepts Enthusiasts, and Professional Price-Action Analysts.
⚜️ Developed by ATHENS | Sahan Akalanka
📈 “Trade Smart. Think Institutional.”
Engulfing StrategyThis indicator has the following key features:
- Detects bullish and bearish engulfing candlestick patterns using a well-established price and body comparison logic.
- Incorporates a customizable moving average filter with multiple smoothing options to confirm trend direction.
- Highlights both the current and previous candles involved in the engulfing pattern by coloring them distinctly, improving visual clarity for reversal signals.
- Offers an interchangeable mode allowing the user to switch between a fully automated trading strategy (entries and exits) and a simple indicator mode (signal and color visualization only).
- Supports pyramiding positions and accounts for commissions and initial capital for realistic strategy testing.
- Uses modern Pine Script v5 functions and syntax for reliable and efficient execution.
- Provides clear visual bar colors for bullish (orange) and bearish (yellow) engulfing signals.
- Allows configuration of MA type and period, adapting to various trading styles and assets.
These features make it a versatile tool for traders seeking both visual confirmation and automated trade execution based on engulfing candle patterns combined with trend filtering.
by @Tumiza999
Day of Week LetterLetters printed on the Daily candle corresponding the day of the trading week it is on. Used for weekly range logic
Set it to 'bring to front' to see it
Liquidity Pools by Ivanliquidity is marked by red and green
RED is institutions
GREEN is retail
it works by time frames so chart doesnt get clutterd
so for example on 15 min you will only get 15 min tf liquidity on 4h you will only get liquidity for 4h tf liquidity and so on
2-Minute Breakout After 15-Minute Opening RangeBreakout must happen before 8 am PST. I used Chat GPT to create this for me so I could do some backtesting on 15 min ORBs.
Pair Trade Beta Calculator (WORKING VERSION)wrote by chatgpt5, calucate the beta for pair trading
Asset A: The asset you would like to long
Assest B: The asset you would like to short
Close Below MAClose Below MA (SMA or EMA)
This indicator helps traders quickly identify when a candle closes below a moving average — a classic signal of potential bearish momentum or a shift in trend.
You can choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA) from a convenient dropdown menu, and customize the MA length to fit your strategy.
When a candle closes below the selected MA, a small black arrow appears above the bar, and an alert can be triggered for instant notifications.
Features:
Choose between SMA or EMA.
Adjustable MA length.
Visual signal (arrow) when the close is below the selected MA.
Built-in alert support
Usage Ideas:
Spot early signs of a bearish reversal.
Use alerts for automated trade monitoring.
Predicta Futures – Scalping Predictor with Confidence FilterPredicta Futures is an advanced short-term forecasting indicator that combines historical pattern similarity analysis with weighted technical signals to predict price movements 1–10 minutes ahead.
**Core Functionality**
The script scans up to 5,000 historical bars to identify structurally similar price patterns. It aggregates forward outcomes from matched patterns and integrates real-time signals from RSI, MACD, Bollinger Bands, volume momentum, and volatility. A composite confidence score filters signals, displaying only those meeting the user-defined threshold (default ≥68%).
**Key Outputs**
- Buy/sell triangles with text labels
- Dashed projection line to predicted price
- Dotted target and ATR-based stop lines
- Info panel showing forecast direction, confidence %, expected move %, pattern count, order book status, and data access details
**Customization & Performance**
- Execution modes: Fast, Balanced, Accurate
- Adaptive sampling with recency bias option
- Filters for volatility and market hours
- Adjustable weights, lookback period, and prediction horizon
**Use Cases**
Scalping, intraday trading, futures, cryptocurrencies, equities.
*Order book metrics are simulated (platform limitation). Technical analysis tool; not financial advice.*
celenni//@version=6
strategy("Cruce SMA 5/20 – v6 (const TF, gap en puntos SOLO cortos, next bar open, 1 trade/ventana, anti-flip)",
overlay = true,
initial_capital = 10000,
default_qty_type = strategy.percent_of_equity,
default_qty_value = 10,
pyramiding = 0)
// === CONSTANTES ===
const string TF = "15" // fija el timeframe de cálculo (ej. "5","15","30","60","120","240","D")
const string SYM_ALLOWED = "QQQ" // símbolo permitido
// === Inputs ===
confirmOnClose = input.bool(true, "Confirmar señal al cierre (evita repaint)")
maxGapPtsShort = input.float(0.50, "Máx gap permitido en CORTOS (puntos)", 0.0, 1e6)
lenFast = input.int(5, "SMA rápida", 1)
lenSlow = input.int(20, "SMA lenta", 2)
tpPts = input.float(20.0, "Take Profit (puntos)", 0.01)
slPts = input.float(5.0, "Stop Loss (puntos)", 0.01)
// Ventanas (NY)
useSessions = input.bool(true, "Usar ventanas NY")
sess1 = input.session("1000-1130", "Ventana 1 (NY)")
sess2 = input.session("1330-1600", "Ventana 2 (NY)")
flatOutside = input.bool(true, "Cerrar posición al salir de la ventana")
// === Utilidades ===
isAllowedSymbol() =>
(syminfo.ticker == SYM_ALLOWED) or str.contains(str.upper(syminfo.ticker), str.upper(SYM_ALLOWED))
// === Series MTF (cálculo en TF) ===
closeTF = request.security(syminfo.tickerid, TF, close, barmerge.gaps_off, barmerge.lookahead_off)
smaFast = ta.sma(closeTF, lenFast)
smaSlow = ta.sma(closeTF, lenSlow)
// Señales MTF sin repaint
longSignalTF = request.security(syminfo.tickerid, TF,
ta.crossover(ta.sma(close, lenFast), ta.sma(close, lenSlow)),
barmerge.gaps_off, barmerge.lookahead_off)
shortSignalTF = request.security(syminfo.tickerid, TF,
ta.crossunder(ta.sma(close, lenFast), ta.sma(close, lenSlow)),
barmerge.gaps_off, barmerge.lookahead_off)
// === Sesiones (evaluadas en el TF del gráfico, zona NY) ===
inSess1 = useSessions ? not na(time(timeframe.period, sess1, "America/New_York")) : true
inSess2 = useSessions ? not na(time(timeframe.period, sess2, "America/New_York")) : true
inSession = inSess1 or inSess2
// Inicio de ventanas y contadores (1 trade por ventana)
var bool wasIn1 = false, wasIn2 = false
win1Start = inSess1 and not wasIn1
win2Start = inSess2 and not wasIn2
wasIn1 := inSess1
wasIn2 := inSess2
var int tradesWin1 = 0, tradesWin2 = 0
if win1Start
tradesWin1 := 0
if win2Start
tradesWin2 := 0
justOpened = strategy.position_size != 0 and strategy.position_size == 0
if justOpened
if inSess1
tradesWin1 += 1
if inSess2
tradesWin2 += 1
canTakeMore =
(inSess1 and tradesWin1 < 1) or
(inSess2 and tradesWin2 < 1) or
(not useSessions)
// === Filtro NO-GAP SOLO para CORTOS (en PUNTOS) ===
// Compara OPEN actual vs CLOSE previo; se evalúa en la barra donde se EJECUTA (apertura actual).
gapPts = math.abs(open - close )
shortGapOK = maxGapPtsShort <= 0 ? true : (gapPts <= maxGapPtsShort)
// === Anti-flip y gating ===
isFlat = strategy.position_size == 0
canSignal = (not confirmOnClose or barstate.isconfirmed)
canTrade = isAllowedSymbol() and inSession and canTakeMore and canSignal
// === ENTRADAS (se colocan al cierre; se llenan en la apertura siguiente) ===
// Largos: sin filtro de gap
if canTrade and isFlat and longSignalTF
strategy.entry("Long", strategy.long)
// Cortos: requieren shortGapOK
if canTrade and isFlat and shortSignalTF and shortGapOK
strategy.entry("Short", strategy.short)
// === TP/SL en puntos ===
if strategy.position_size > 0
e = strategy.position_avg_price
strategy.exit("TP/SL Long", from_entry="Long", limit=e + tpPts, stop=e - slPts)
if strategy.position_size < 0
e = strategy.position_avg_price
strategy.exit("TP/SL Short", from_entry="Short", limit=e - tpPts, stop=e + slPts)
// === Cierre fuera de sesión ===
if flatOutside and not inSession and strategy.position_size != 0
strategy.close_all("Fuera de sesión")
// === Visual ===
plot(smaFast, color=color.new(color.teal, 0), title="SMA 5 ("+TF+")")
plot(smaSlow, color=color.new(color.orange, 0), title="SMA 20 ("+TF+")")
plotshape(longSignalTF and canTrade and isFlat, title="Compra", style=shape.triangleup,
location=location.belowbar, color=color.new(color.teal,0), size=size.tiny, text="Long")
plotshape(shortSignalTF and canTrade and isFlat and shortGapOK, title="Venta", style=shape.triangledown,
location=location.abovebar, color=color.new(color.red,0), size=size.tiny, text="Short")
LONG/SHORT Signals by YCGH CapitalThis indicator uses volatility as its primary input to help identify potential market
bottoms and tops. By measuring extreme price movements and volatility spikes, it generates
signals for both long (buy) and short (sell) opportunities.
BEST SUITED FOR:
This indicator works best when the market is in a clear trend - either uptrend or downtrend.
It excels at catching reversal points within trending markets and identifying exhaustion
points where trends may reverse.
HOW TO USE THIS INDICATOR:
1. IDENTIFY SIGNAL TYPES:
• Long Filtered (Dark Blue, Tiny): Conservative buy signals with higher probability
• Long Aggressive (Aqua, Small): Early buy signals for catching bottoms faster
• Short Filtered (Dark Red, Tiny): Conservative sell signals with confirmation
• Short Aggressive (Orange, Small): Early sell signals for catching tops
2. TRADING APPROACHES:
Conservative Traders:
- Focus only on Filtered signals (tiny arrows)
- Wait for full confirmation before entering
- Lower risk, fewer trades, higher win rate
Aggressive Traders:
- Use Aggressive signals (small arrows) for earlier entries
- Accept more risk for potentially larger profits
- More trades, catch moves from the beginning
Balanced Approach:
- Use Aggressive signals to spot opportunities early
- Confirm with Filtered signals or use them to add to positions
- Scale in with Aggressive, scale out with opposite signals
3. RISK MANAGEMENT:
- Always use stop losses below recent swing lows (long) or above swing highs (short)
- Risk less per trade on Aggressive signals (they have more false signals)
- Risk more per trade on Filtered signals (higher probability setups)
- Consider the broader trend - signals aligned with trend work better
4. COMBINATION STRATEGIES:
- Use with trend indicators (moving averages) to filter signals
- Combine with support/resistance levels for higher probability entries
- Look for signals near key price levels for best results
- Use volume confirmation to validate signal strength
5. TIMEFRAME RECOMMENDATIONS:
- 15min-1H charts: Day trading with quick reversals
- 4H-Daily charts: Swing trading with multi-day holds (RECOMMENDED)
- Weekly charts: Position trading for long-term trend reversals
IMPORTANT NOTES:
- Not all signals will result in profitable trades
- Best performance in trending markets, may produce false signals in sideways/choppy conditions
- Combine with your own analysis and risk management rules
- Past performance does not guarantee future results
SwingDetermines local minimums and maximums on the chart, where you can aim for liquidity in the future
Breakout Structure SignalsBreakout Structure Signals
Trend-following Donchian breakouts with optional retests, HTF trend filter, volume & ADX gates, and one-signal-per-direction control.
What it does
Prints LONG / SHORT when price breaks the prior Donchian High/Low and/or makes a qualified retest of that level.
Works with trend via EMAs on the chart TF; optional HTF EMA filter confirms higher-timeframe bias.
Optional Volume and ADX filters, plus soft candle-quality checks.
Signals confirm on bar close (no intrabar repaint on your chart TF). Duplicate signals can be suppressed until direction flips.
Core logic
Breakout Long: close > DonchianHigh AND EMAfast > EMAslow AND close > EMAslow .
Breakout Short: close < DonchianLow AND EMAfast < EMAslow AND close < EMAslow .
Retest (optional): after breakout, wait up to maxBarsWait for a pullback within ATR × retestTolATR around the breakout level; price must also align with the fast EMA (above for longs, below for shorts).
Filters (optional): Volume > SMA20 × volMult , ADX > 20 , candle-quality: close position within range ≥ closePosMin and body/range ≥ impulseBodyMin .
HTF trend (optional): Longs require HTF EMAfast > HTF EMAslow ; shorts require the opposite (via request.security on htf_tf ).
Inputs (key)
lengthRange — Donchian N (high/low lookback).
emaFastLen , emaSlowLen — chart-TF trend filter.
useVolumeFilt , volMult — volume gate (turn OFF where volume is unreliable).
useRetest , retestTolATR , maxBarsWait — retest behavior & tolerance.
useADX , adxLen — trend-strength filter.
useHTF , htf_tf , htfEmaFastLen , htfEmaSlowLen — higher-TF confirmation.
useCandleQual , closePosMin , impulseBodyMin — soft candle-quality checks.
confirmOnClose — confirm signals on close.
suppressSameSide — block repeats until reversal.
showBg — background highlight on signal bars.
Visuals
Plots: EMA Fast , EMA Slow , Donchian High/Low .
Markers: triangle LONG below bars, triangle SHORT above bars.
Optional background tint on signal bars.
Alerts
LONG signal — breakout or qualified retest (long).
SHORT signal — breakout or qualified retest (short).
How to use
Start with Donchian 20 , EMA 20/50 ; for LTF trading, consider HTF = 60m/240m.
Retests: try 0.3–0.6 ATR tolerance and 8–12 bars wait for cleaner fills.
Stops: beyond breakout/retest by 1–1.5 ATR or beyond fast EMA; manage with partials and a trailing exit.
Turn Volume filter OFF where volume isn’t informative.
This indicator provides signals only; always combine with risk management.
Unlock Your Trading Edge with the Boost AIBINANCE:BTCUSDT
Stop the guesswork. Stop the "analysis paralysis." Stop using tools that look great in hindsight but fail in live trading.
We've combined more than 10 years of trading expertise with cutting edge AI to bring to you Boost AI for one reason: to create a real, tradeable edge.
This isn't just another "signal" indicator. It's an AI-driven engine that has been rigorously backtested, showing a 55x return over the last 5 years of market data. This indicator is built for BTC and is ideal on a 20min timeframe.
Why it's the only indicator you'll need:
Crystal-Clear Signals: Get simple, actionable "Buy" and "Sell" signals. No more confusion.
100% NON-REPAINTING: This is our core promise. The signal you see is the signal you trade. What you see on the chart is what you would have seen in real-time. No repainting. No back-fitting. No excuses.
AI-Driven Edge: Our proprietary AI model adapts to changing market conditions, identifying high-probability setups that human analysis often misses.
Proven Performance: The 55x backtest isn't a "perfect scenario" guess. It's the result of 5 years of historical data, giving you a baseline of the algorithm's performance.
Disclaimer: Past performance is not indicative of future results. The 55x return is based on a historical backtest and does not guarantee future profits. All trading involves risk, and you should only trade with capital you can afford to lose.
How to Get Access:
Access is $9.99 USDT per month.
Send Payment: Transfer 9.99 USDT (on the ERC-20 network) to this address: 0x1d8cb08411bdd334781e290e4fc2e64c9da67c9c
After paying, send us a DM and we'll give you access.
Get Access: Payment verification and granting access to your TradingView account may take upto 24 hours (However, in most cases, users have been given access in a few hours)
First 5-Min Candle High/Low by grantratcliff7Draws two pale yellow lines at the open and the close of the first 5 min candle of the trading session (9:35 EDT)
🦁 Hunt and eat v14++My 🦁 Hunt & Eat v14++ strategy combines the best of both worlds: Peak and Valley (CYC) detection to capture precise market reversals, and Time-to-Move (TTM) filters to align with the overall trend, ensuring cleaner, less noisy trades.
Its main strengths are:
Adaptability: It can trade in both trending phases and reversal zones, thanks to its selectable modules.
Multiple Confirmation: It combines structural signals (pivots) with dynamic conditions such as ADX, EMA angle, and neutrality filters.
Disciplined Management: It avoids entering flat or directionless zones, reducing unnecessary trades.
Visual Clarity: It uses a performance panel and EMA colors that reflect the actual state of the position.
In short, it's a trend-chasing strategy with contextual intelligence, designed to capitalize on strong moves without getting caught in market indecision.
BTC MULTI-RSrelative strength 💪 its showing strenth relative 21 55 123 period of crypto....against btc...
TFL Indicator (BenFuturez)Smart Fair Value Gap Trading Tool
This indicator identifies high-probability trading opportunities by combining Fair Value Gaps (FVGs) with confirmation signals and trend filtering.
KEY FEATURES:
• Automatically detects bullish and bearish Fair Value Gaps on your chart
• Generates precise entry signals based on price action confirmation
• Includes built-in trend filter using 20 EMA for higher quality setups
• Visual FVG boxes with customizable colors and extension length
• Configurable signal sensitivity with adjustable timeframe parameters
HOW IT WORKS:
The indicator marks FVG zones on your chart and monitors price behavior when these zones are tested. Entry signals appear only when multiple conditions align, including proper price structure, gap interaction, and trend direction. This multi-layered approach helps filter out low-probability trades.
SETTINGS:
• Toggle bullish/bearish FVG boxes on/off
• Adjust box colors and extension length
• Configure signal timing sensitivity
• Show/hide the 20 EMA trend filter
• Customize EMA length and color
SIGNALS:
• Green triangle = Buy signal (bullish setup confirmed)
• Red triangle = Sell signal (bearish setup confirmed)
• Built-in alerts available for all signal types
BEST PRACTICES:
• Use on lower timeframes for more signals
• Combine with proper risk management and position sizing
• Signals work best when aligned with overall market structure
• Consider multiple timeframe confirmation for best results
• Use this as a confluence to your strategy, don't just blindly follow signals!
This indicator is designed for traders who understand market structure and want a systematic approach to identifying quality entry points based on institutional order flow concepts.
REJECTION DETECTOR🔥 CTR (Candle Terjepit - Rejection)
This indicator is specifically designed to detect Rejection Candles, which are moments when the price rejects a certain level and has the potential to form a strong reversal or rapid reaction — an important signal for scalpers and price action traders.
💡 Key Concept:
Rejection is a form of market reaction to areas of liquidity, support-resistance, or order block zones. Candles with long tails and small bodies indicate an imbalance between buyers and sellers, providing an early indication that the price may soon reverse.
⚙️ Key Features
🔍 Automatic Rejection Candle Detection (Buy & Sell)
🧠 Body-to-tail ratio filter for more precise signal validation
🎨 Customizable candle colors and appearance
📊 Suitable for all pairs and timeframes
VCP Detector it detects VCP before breakout,,,
⚡ How to Use
🕒 Timeframe:
15-min → Intraday contraction
Daily → Swing contraction
🟢 Green circles = VCP zones
→ price tightening, volume drying, volatility compressing.
SMC Adaptive Breakout v1XSMC Adaptive Breakout v1X — Adaptive Smart Money Breakout Strategy
SMC Adaptive Breakout v1X is a Smart-Money–inspired breakout strategy that adapts to changing volatility and market structure in real time. It identifies recent pivot structure, verifies volatility expansion, uses ATR-scaled stops, and manages exits with fixed profit targets plus price-based trailing.
Why this strategy is unique / original
This strategy combines three concept layers into a single, cohesive system: (1) structure detection using adaptive pivots, (2) a normalized volatility filter (range percentile over a long lookback) to permit only expansion-phase breakouts, and (3) context-aware trade management using ATR-scaled stops and percentage-based profit/ trailing rules. The combination reduces false breakouts during low-volatility periods while preserving entries when institutional-style expansion occurs.
Core logic (high level)
1. Structure detection: recent pivot highs and lows (configurable lookback) form the active Support and Resistance reference levels used to define breakouts.
2. Volatility confirmation: raw bar range is normalized into a percentile within a long volatility lookback window; breakouts are only considered when normalized volatility exceeds the user filter threshold.
3. Order-block / gap detection: the script detects large price gaps relative to ATR(200) and flags them as bullish/bearish gaps (order-block style footprints) to add confluence to entries.
4. Entry criteria: a long entry is signalled when price closes above the most recent resistance and the volatility filter is satisfied (or a bullish gap condition is met). Shorts mirror this logic below support. Debug/force flags allow manual/backtest forcing of trades.
5. Risk & exits: stops are ATR-based (ATR length configurable, multiplier configurable) giving context-aware stop distances. Each entry sets a profit target as a percent of entry and attaches a trailing exit (points and offset defined as percent of price) to protect profits. Exits are placed with one strategy.exit per entry so they are executed by the strategy engine.
6. Non-premature confirmation: entries are determined using closed-bar conditions (no intrabar triggers), consistent with strategy backtesting expectations.
Key inputs (and what they control)
1. Levels Period (length) — pivot lookback used to compute support/resistance structure; larger values = larger, fewer zones.
2. Volatility Filter (filter 0–100) — normalized volatility threshold (percentile) required to allow breakout signals. Increase to reduce signals during quiet markets.
3. Volatility lookback (volatility_len) — window length used to normalize the raw range into a percentile.
4. ATR length (atr_len) & ATR Stop Multiplier (atr_multiplier) — ATR parameters used for stop distance; ATR gives volatility-adaptive stop sizing.
5. Profit target (%) — target as percent of entry price.
6. Trailing points (%) & offset (%) — trailing stop size and activation offset, expressed as percent of price (converted internally to price points).
7. Visual & debug toggles — show/hide levels, entry markers, and enable debug/force entry flags for manual/backtest validation.
Practical Usage & Recommended Settings
Timeframes – Works efficiently across multiple time horizons.
• 5–15 minutes → Scalping setups.
• 15 minutes–1 hour → Intraday opportunities.
• 4 hours–1 day → Swing trading confirmation.
Adjust length and Volatility Filter parameters to match your timeframe and instrument behavior.
Default Sensitivity –
The default length = 20 offers balanced structure detection.
• Lower values → faster, more frequent signals.
• Higher values → smoother structure and fewer breakouts.
Volatility Tuning –
Modify the Volatility Filter (0–100) according to market conditions.
• Increase the filter during low-volume or choppy sessions to reduce false signals.
• Decrease it during trending or high-volatility markets for greater responsiveness.
Stop / Target Sizing –
ATR-based stop-losses automatically adapt to market volatility.
• Recommended starting point: ATR Multiplier = 1.5 and Profit Target = 1.5%.
• Fine-tune both based on each asset’s typical volatility profile.
Backtesting –
Use TradingView’s built-in Strategy Tester to analyze results over different symbols and timeframes.
The strategy executes only on bar close, ensuring accurate, non-repainting backtest results.
What the strategy plots / visual cues
•Forward-extended pivot lines for support/resistance (configurable color/transparency).
•Order-block / gap markers when large ATR-scaled gaps are detected.
•Entry labels (“LONG” / “SHORT”) at position changes if enabled.
•Strategy entries/exits are placed through strategy.entry and strategy.exit so performance reports are available in the Tester.
Risk management & notes
•This script is a discretionary tool — it automates entries and exits for backtesting and strategy simulation, but users should still confirm trades with broader market context and higher-timeframe bias.
•Always run thorough backtests (multi-symbol, multi-timeframe) and forward test on a paper account before any live deployment.
•Adjust position sizing externally; the strategy code sets orders and exits but does not enforce a specific money-management sizing rule. Use the strategy tester’s default position size controls or integrate a sizing method in your own workflow.
Technical details & behavior
•Pine Script v6 strategy.
•Uses closed-bar confirmation for signals (no repainting on close).
•Order-block / gap detection uses ATR(200) as a volatility reference to identify large structural gaps.
•Trail calculations convert percent-based inputs to absolute price units each bar to maintain consistent behavior across price levels.
Limitations & disclaimers
•Past performance is not indicative of future results. This strategy does not guarantee profits and will produce losing trades.
•Results depend on parameter choices, instrument volatility, market regime, and execution slippage. Always test on the exact symbol and timeframe you intend to trade.
Invite-only / Access note (for Publish window)
This strategy is invite-only. Please use the TradingView Request Access button on this page to request access.






















