インジケーター
ボラティリティ
Tetris MARKET 🧩 Market Tetris Grid – Multi-Factor Market Structure Model
This indicator is a multi-layer market structure visualization system that combines volatility, momentum, volume flow, and trend direction into a unified “block-based” framework inspired by Tetris logic.
The purpose of this model is not to generate isolated signals, but to visualize the internal strength and alignment of market forces in real time.
🔬 CORE MATHEMATICAL STRUCTURE
The system is built on six independent market components:
1. ATR (Volatility Engine – Enhanced / Super ATR Concept)
The ATR component is not used in its standard form only.
Instead, it is normalized and interpreted as a relative volatility expansion engine.
It measures:
Market range expansion
Volatility pressure compared to historical average
Structural movement intensity
This is part of a broader “multi-source volatility interpretation” approach, where ATR is combined with range and true range behavior to represent real market energy rather than simple average true range.
2. Delta (Price Pressure)
Delta represents raw directional price movement:
Positive delta → buying pressure
Negative delta → selling pressure
It captures immediate micro-directional momentum of price.
3. OBV (Volume Flow Engine)
OBV is implemented in a stable cumulative form:
Volume is added on upward closes
Subtracted on downward closes
This reflects net capital flow direction rather than raw volume.
4. Momentum (Rate of Change)
Momentum is calculated using rate-of-change logic:
Measures speed of price movement
Identifies acceleration or deceleration phases
5. Volatility Ratio
Volatility is normalized using ATR relative to its moving average:
Detects expansion vs compression phases
Identifies structural volatility regime shifts
6. Trend Structure
Trend is defined as the difference between short and medium EMAs:
Represents directional bias
Filters noise from raw price movement
🧠 SCORING & PROBABILITY MODEL
All six components are normalized and aggregated into a unified score:
Positive score → bullish market bias
Negative score → bearish market bias
This score is then converted into:
Bullish Probability (%)
Bearish Probability (%)
The probability is not predictive in isolation, but represents multi-factor alignment strength across market dimensions.
🧱 VISUAL MODEL (TETRIS GRID LOGIC)
Each column represents one market force:
ATR / Delta / OBV / Momentum / Volatility / Trend
Block height reflects intensity, allowing visual detection of:
Market expansion zones
Compression phases
Directional imbalance
Structural alignment or divergence
⚠️ INTENDED USE
This indicator is designed for:
Market structure analysis
Trend strength visualization
Multi-factor confirmation
Institutional-style flow interpretation
It is not intended to be a standalone buy/sell system.
🇹🇷 TÜRKÇE AÇIKLAMA (RESMİ)
🧩 Market Tetris Grid – Çok Faktörlü Piyasa Yapı Modeli
Bu indikatör, volatilite, momentum, hacim akışı ve trend yönünü tek bir “blok tabanlı yapı” içinde birleştiren çok katmanlı bir piyasa görselleştirme sistemidir.
Amaç, tekil sinyal üretmek değil; piyasanın içsel güç dağılımını ve uyumunu gerçek zamanlı olarak görselleştirmektir.
🔬 TEMEL MATEMATİK YAPI
Sistem 6 ana piyasa bileşeni üzerine kuruludur:
1. ATR (Geliştirilmiş Volatilite Motoru – “Super ATR” Mantığı)
ATR sadece klasik haliyle kullanılmaz.
Bunun yerine:
normalize edilir
geçmiş ortalamalara göre göreceli gücü ölçülür
piyasa genişleme enerjisi olarak yorumlanır
Bu yapı, standart ATR’den farklı olarak:
👉 “çok kaynaklı volatilite yorumlama modeli” içerir.
Yani sadece ortalama gerçek aralık değil, piyasanın enerji artışı / daralması analiz edilir.
2. Delta (Fiyat Baskısı)
Delta, fiyatın anlık yönlü hareketini temsil eder:
Pozitif delta → alım baskısı
Negatif delta → satım baskısı
3. OBV (Hacim Akışı)
OBV şu mantıkla çalışır:
kapanış yukarıysa hacim eklenir
kapanış aşağıysa hacim çıkarılır
Bu yapı net para akış yönünü gösterir.
4. Momentum
Momentum, fiyat değişim hızını ölçer:
hızlanma / yavaşlama tespiti yapar
5. Volatilite Oranı
ATR’nin kendi ortalamasına oranı alınır:
piyasa sıkışma / genişleme tespiti
rejim değişimi analizi
6. Trend Yapısı
Kısa ve orta EMA farkı alınır:
yönlü bias üretir
gürültüyü filtreler
🧠 SKOR VE OLASILIK MODELİ
6 bileşen normalize edilerek tek bir skor oluşturur:
pozitif skor → bullish baskı
negatif skor → bearish baskı
Bu skor daha sonra:
Bullish %
Bearish %
olarak olasılığa çevrilir.
Bu değer tek başına tahmin değil, çoklu piyasa faktörlerinin hizalanma gücünü gösterir.
🧱 GÖRSEL MODEL (TETRIS MANTIĞI)
Her sütun bir piyasa gücünü temsil eder:
ATR / Delta / OBV / Momentum / Volatilite / Trend
Blok yüksekliği, ilgili faktörün gücünü gösterir.
Bu sayede:
genişleme bölgeleri
sıkışma alanları
yönsel dengesizlik
yapısal uyum / ayrışma
görsel olarak analiz edilebilir.
⚠️ KULLANIM AMACI
Bu indikatör:
piyasa yapısı analizi
trend gücü ölçümü
çok faktörlü doğrulama
kurumsal akış yorumlama
için tasarlanmıştır.
Tek başına al/sat sistemi değildir.
インジケーター
Meridian Stochastic Regime Suite [JOAT]Meridian Stochastic Regime Suite
Introduction
Meridian Stochastic Regime Suite is an open-source adaptive oscillator built for traders who want more context than a standard stochastic line can provide. The script combines a centered stochastic engine, an adaptive response model, and a regime profile so the oscillator changes character as the market shifts between trend, compression, expansion, and balance.
The problem Meridian solves is signal quality. Standard oscillators often look clean, but they do not explain whether momentum is occurring inside a compressed market, an expanding breakout phase, or a stable trend. Meridian adds that context directly into the oscillator architecture so the same reading can be interpreted differently depending on the active regime profile.
Core Concepts
1. Centered stochastic architecture
Price is pre-smoothed first, then converted into a stochastic reading that is centered around 50 so directional pressure is easy to interpret:
smoothHigh = ta.ema(high, priceSmoothLen)
smoothLow = ta.ema(low, priceSmoothLen)
smoothClose = ta.ema(close, priceSmoothLen)
rawStoch = 100.0 * (smoothClose - ta.lowest(smoothLow, stochLen)) / stochRange
2. Adaptive response engine
The main oscillator does not use static smoothing alone. Its response speed and gain expand or contract based on the regime profile:
gainBias = gainBase + trendScore * 0.38 + expansionScore * 0.18 - compressionScore * 0.12
speedBias = responseBase + trendScore * 0.08 + expansionScore * 0.04
adaptiveOsc := adaptiveOsc + speedBias * (adaptiveSeed - adaptiveOsc )
This helps the oscillator respond differently in directional and compressed conditions.
3. Embedded regime scoring
Meridian computes four internal state scores:
Trend
Compression
Expansion
Balance
Those scores are derived from ATR behavior, path efficiency, and slope strength, then normalized into a regime profile shown in the dashboard.
4. Spread and signal layer
The script compares the adaptive oscillator to a slower signal line and visualizes the spread around the neutral axis. This gives a direct view of acceleration versus drag.
5. Institutional oscillator panel
The panel uses restrained zones, layered fills, and a top-right dashboard instead of loud markers. The result stays readable while still carrying multiple analytical dimensions.
Features
Centered stochastic core: Keeps the oscillator readable around a neutral midpoint
Adaptive response model: Gain and speed shift with the internal regime profile
Four-state regime map: Trend, Compression, Expansion, and Balance
Fast line and signal line: Shows momentum acceleration versus stabilization
Spread shading: Highlights when the adaptive oscillator is separating from the signal line
Regime dashboard: Displays state, confidence, adaptive reading, signal reading, and regime profile shares
Confirmed-bar flips: Internal state transitions are tracked on closed bars
Non-repainting design: Uses only current-timeframe data and no future references
Input Parameters
Stochastic Core:
Price Pre-Smoothing
Stochastic Length
Fast Smoothing
Adaptive Signal Smoothing
Regime Filter:
Regime Window
ATR Window
Base Oscillator Gain
Base Response Speed
Visual Output:
Show Adaptive Zones
Show Centered Fast Line
How to Use This Indicator
Step 1: Start with the regime
Read the dashboard first. Trend and Expansion regimes support directional interpretation. Compression and Balance call for more caution.
Step 2: Watch adaptive versus signal spread
When the adaptive line separates cleanly from the signal line, momentum is strengthening. When the spread compresses, the move is losing urgency.
Step 3: Use the centered fast line as timing context
The fast line helps show whether short-term momentum is leading or lagging the adaptive engine.
Step 4: Avoid isolated readings
Meridian is strongest when used alongside a structure or value-based tool rather than as a standalone trade trigger.
Indicator Limitations
Like all oscillators, Meridian can remain elevated or depressed during strong directional trends
Compression states may delay re-acceleration readings until volatility expands again
The regime profile is descriptive, not predictive
Originality Statement
Meridian Stochastic Regime Suite is original in how it embeds a four-state regime profile directly into the adaptive behavior of a centered stochastic engine. It is published because:
The oscillator response changes with internal market-state measurements instead of using only fixed smoothing
The script surfaces trend, compression, expansion, and balance as percentages inside the same panel
The panel and dashboard design turn regime context into an interpretable momentum framework rather than a generic stochastic clone
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade. Oscillator readings can remain extreme for extended periods, and regime classifications can shift as conditions evolve. Always use independent judgment and proper risk management.
インジケーター
MTF Pivot+ (Camarilla & CPR)MTF Pivot+ is an advanced indicator that combines Camarilla levels and Central Pivot Range (CPR) zones with multi-timeframe (MTF) analysis. It equips traders with a powerful toolkit to identify key support and resistance zones, analyze market trends, and pinpoint precision entry areas for both day trading and swing trading!
Key Features:
⏱️ Smart Auto-Timeframe: Automatically selects the optimal higher timeframe for calculating levels based on your current chart (e.g., Daily levels for intraday charts up to 30m).
🎯 Central Pivot Range (CPR): Displays the CPR zone (CP, BC, TC) with built-in trend analysis. The zone automatically changes color depending on its shift relative to the previous period (bullish, bearish, or flat).
📊 Camarilla Pivot Levels: Comprehensive calculation of internal levels (R1-R2 / S1-S2), key reversal zones (R3 / S3), breakout extremes (R4 / S4), and extended targets (R5-R6 / S5-S6).
🔄 Dynamic (Rolling) Pivots: Option to calculate levels from the previous day's close for daily dynamic updates, while still maintaining the true highs and lows of the higher timeframe.
💱 Advanced Futures Support: Seamlessly use continuous contracts and calculate pivots based on the Last Traded Price (LTP) instead of exchange settlement prices.
🎛️ MTF Dashboard: A compact, sleek on-chart panel showing the current price's position relative to the Central Pivot (CP) across Daily, Weekly, and Monthly timeframes at a single glance.
🔔 Comprehensive Alerts System: Built-in alerts with a smart "cooldown" feature for CPR crosses, touches of reversal zones, R4/S4 breakouts, and previous period High/Low breaches.
🎨 Highly Customizable: Easily toggle specific levels or features on/off (for example, enabling HLC mode hides main levels) to keep your charts clean, focused, and informative!
⚠️ Disclaimer:
This indicator is provided solely for educational and informational purposes. It does not constitute financial, investment, or trading advice.
Please keep the following important points in mind:
High Risks: Trading in financial markets (cryptocurrencies, forex, stocks, futures) involves a high level of risk and may result in the partial or total loss of your capital.
No Guarantees: Indicators are based on the mathematical analysis of past price data. Past price movements and successful level tests do not guarantee future profits.
Do Your Own Research (DYOR): Never make trading decisions based solely on the readings of a single indicator. Always conduct your own comprehensive market analysis, consider the overall context, and employ strict risk management.
Responsibility: You use this script entirely at your own risk.
インジケーター
Volatility Heatmap Bands [PickMyTrade]━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHAT IT DOES
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Volatility Heatmap Bands fits a log-normal distribution to recent price returns and draws a statistically calibrated price envelope — then colours every bar by where it sits inside that envelope.
Simple version: the red band at the top is the "overbought wall." The cyan band at the bottom is the "oversold wall." When bars turn red, price is statistically stretched toward the top. When bars turn cyan, price is statistically stretched toward the bottom. The colour tells you whether a move is normal or extreme — without reading a single number.
Three layers power every calculation:
▸ Log-Normal Drift (μ) — rolling mean of log-returns, representing the direction price is diffusing
▸ Volatility (σ) — rolling standard deviation of log-returns, updated every bar
▸ Itô Correction (−½σ²) — converts the arithmetic mean to a geometric mean, required for continuous-time price models. Without this, the envelope is systematically biased upward
The result is a probability corridor that widens in volatile markets and tightens in calm ones — automatically, with no manual adjustment.
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THE HEATMAP EXPLAINED
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Each bar is coloured by a single value: the normalised position of close within the 10th–90th percentile envelope.
position = (close − 10th band) / (90th band − 10th band)
0.0 → close is at or below the 10th band → deep cyan
0.5 → close is at the midpoint → neutral
1.0 → close is at or above the 90th band → deep red
This is not a momentum oscillator and not RSI. It is a spatial measure of where price sits inside its own forward-projected distribution. A deep-red bar means the current close is in the top decile of the statistically projected range — not that it is rising fast, but that it has reached a zone that is historically reached only 10% of the time.
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SIGNALS — ▲ LONG / ▼ SHORT
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A breakout signal fires when price exits the N-bar channel:
▲ Long — close breaks above the highest close of the last N bars
▼ Short — close breaks below the lowest close of the last N bars
An optional trend filter (slow EMA gate) removes counter-trend signals:
• Longs only when close is above the trend EMA
• Shorts only when close is below the trend EMA
Signals appear as small triangles on the chart. They are not trade recommendations — they mark a structural breakout that coincides with a momentum expansion, for the trader to act on within their own framework.
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VOLATILITY REGIME DETECTION
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σ is compared to its own rolling distribution via a percentile rank:
≥ 75th percentile of σ → High Vol regime (subtle orange background)
25th – 75th → Normal regime (no tint)
< 25th percentile of σ → Low Vol regime (subtle blue background)
Why it matters: the same breakout signal in a High Vol regime carries a wider envelope and therefore a different risk profile than the same breakout in Low Vol. The background tint makes the regime visible at a glance.
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WHAT MAKES IT DIFFERENT
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Most volatility bands (Bollinger, Keltner, Donchian) are constructed from past price movement around a moving average. They describe where price has been.
VHB projects forward. The envelope is calculated at the current close and extended H bars into the future using the fitted distribution. The bands show where price is statistically likely to be in H bars — not where it has been.
Consequence: in a trending market the bands tilt with the drift. In a mean-reverting market the bands remain flat. The geometry of the envelope changes with market character, not with arbitrary multiplier choices.
The Itô correction is not a cosmetic detail. In continuous-time finance, the expected log-price grows at μ − ½σ², not μ. Omitting the correction causes the upper band to overstate likely price levels by an amount that grows with σ² — small in calm markets, significant during volatility expansion. VHB applies the correction on every bar.
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HOW TO USE IT
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1. Apply to any liquid instrument — futures (MNQ, NQ, ES, CL, GC), forex pairs, crypto
2. Choose your timeframe:
• 1m / 5m — scalping, intraday momentum
• 15m / 1H — intraday swing
• 4H / Daily — positional
3. Read the heatmap first:
• Cyan bars near the lower band → price is statistically cheap relative to its own distribution
• Red bars near the upper band → price is statistically expensive
4. Wait for a signal ▲ / ▼ to confirm directional intent
5. Use the info panel (bottom-right) to monitor CDF Score, σ/bar, regime, and band levels in real time
6. Set alerts via the Alerts tab for Long Signal, Short Signal, or Regime changes
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SETTINGS REFERENCE
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| Input | Default | Purpose |
|---|---|---|
| Fit Lookback | 100 | Bars used to estimate μ and σ |
| Holding Horizon | 10 | Bars forward the distribution is projected |
| Breakout Channel | 20 | N-bar high/low for signal detection |
| Trend Filter | ON | EMA gate — removes counter-trend signals |
| Trend EMA Length | 200 | Slow EMA period for directional gate |
| Show Outer Bands | ON | 10th and 90th percentile lines |
| Show Median | ON | 50th percentile — Itô-corrected drift line |
| Show Inner Bands | OFF | 25th and 75th percentile lines |
| Fill Band | ON | Dark fill between 10th and 90th |
| Heatmap Bar Colour | ON | Cyan–red gradient by envelope position |
| Highlight Regime | ON | Subtle background tint by volatility regime |
| Show Info Panel | ON | Live σ, CDF score, drift, bands, signal |
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NOTES
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• Requires at least Fit Lookback bars of history before the first band appears
• Works on any asset class; continuous instruments (futures, forex) show the cleanest log-return distribution
• The indicator does not repaint — all band values are calculated from confirmed closed bars
• Signals use close for channel calculation — no lookahead bias
• This tool is for research and educational purposes only. It is not financial advice.
インジケーター
Momentum Matrix [LIVE]### Introduction
Welcome to Momentum Matrix , a multi-dimensional momentum and volatility confluence engine. This indicator combines Linear Geometry (Moving Average Slope) with Derivative Volatility Breakouts (Bollinger Bands applied to a custom MACD line) to create a rigorous, two-step verification system designed to identify high-probability trend expansions while filtering out low-volume market noise and chop.
### How It Works
1. **The Core Trend (MA Angle):** The script normalizes a moving average using an Average True Range (ATR) calculation to determine its precise geometric angle. It flags the trend as bullish or bearish only when the moving average breaks past a user-defined threshold (e.g., 6°), turning flat ranges grey (**No Trade Zone**).
2. **The Volatility Trigger (MACD BB):** A custom MACD line is tracked natively against standard deviation Bollinger Bands. When momentum expands, the MACD line punches outside the bands.
3. **The Confluence Signal:** When **both** systems simultaneously turn bright green or bright red, the script prints a distinct **Confluence Dot** on the zero line, signaling an institutional momentum breakout.
---
### Key Use Cases
*🚀 **Squeeze Play & Volatility Breakout Entries***
Entering the trade on the first Confluence Dot catches the absolute beginning of a macro trend expansion.
*📈 **High-Probability Trend Following***
As long as the lines and histograms stay locked in solid green or red, it proves that the velocity of the move is being actively sustained by volume.
*⚠️ **False Breakout Filter (Staying Out of Chop)***
Many traders lose money by buying a breakout on the price chart, only for it to immediately reverse. This indicator acts as a gatekeeper. If price makes a sudden spike upward, the MACD might briefly flash green. However, if the broader Moving Average Angle remains flat and stuck in the "No Trade Zone," the indicator refuses to print a buy dot, preventing FOMO entries.
*⏱️ **Scalping with the Live Delta Dashboard***
If an asset is moving up but the live angle change starts decaying (e.g., dropping from +2.5° down to +0.2°), it signals a hidden momentum loss—alerting you to take profits before the price action actually stalls out.
---
### Key Features
* **Adaptive MA Selection:** Swap between EMA, SMA, HMA, LSMA, ALMA, and McGinley.
* **Built-in Volatility Filter:** Bollinger Bands track the MACD line directly to confirm momentum expansion.
* **Live Statistics Table:** View current trend angles and live changes on every tick.
* **Strict Non-Repainting Signals:** Confluence triggers confirm at the close of the bar to ensure historical data accuracy.
---
### Credits & Acknowledgments
This script is a customized confluence engine built upon the excellent open-source work of two brilliant developers in the TradingView community. Special thanks to:
* ** @Mango2Juice ** for the foundational logic behind the *Angle of Moving Averages* script.
* ** @Algokid ** for the original concept and design of the *AK MACD BB indicator*.
This version modernizes the calculations into Pine Script v5 , introduces a dynamic real-time tracking dashboard, and establishes a strict non-repainting mathematical handshake between both metrics.
インジケーター
HTF Trend Tracker [BigBeluga] - Price label updateHTF Trend Tracker is a higher timeframe (HTF) trend tracking indicator designed to help traders identify significant trends, key levels, and market sentiment. The indicator dynamically adapts to the current price action, using HTF highs and lows to display trend direction and strength with detailed visuals.
Key Features:
Dynamic Trend Detection:
Uptrend is identified when the price closes above the HTF high.
Downtrend is detected when the price closes below the HTF low.
Midline changes color dynamically based on the trend direction:
Bullish Green: Indicates an uptrend.
Bearish Red: Indicates a downtrend.
Historical and Active HTF Levels:
Historic HTF highs and lows are displayed as dotted lines.
Current active HTF high and low levels are shown as solid lines.
Timeframe labels (e.g., "1D High" or "1D Low") mark the active levels for clarity.
Usage:
Identify uptrends and downtrends using the midline's color and the position of the close relative to the HTF levels.
Use solid lines and timeframe labels to track current HTF high and low levels.
Observe dotted lines for historical HTF levels to understand past price behavior.
Watch for checkmark (✓) and cross (✕) signals to spot trend changes and key market shifts.
Monitor candle colors to gauge trend intensity and proximity to the midline:
Intense colors signal strong trends, while neutral gray indicates consolidation near the midline.
HTF Trend Tracker is an essential tool for traders aiming to follow higher timeframe trends, identify key levels, and make data-driven decisions based on price dynamics and trend strength. Its customizable features allow for flexible integration into any trading strategy.
インジケーター
Silver Risk Management outperformed Buy & HoldThis strategy starts from a very direct idea
Stay long silver by default
step aside when risk starts to build
and step back in when structure and macro conditions calm down
Silver can reward patience, but it also has a habit of violent flushes
That is why this model does not try to predict every move
It only tries to manage exposure when pressure becomes visible
The model uses three layers
1. Silver structure
A slow EMA helps identify broader trend damage
2. Macro pressure
US10Y stress is used as the main macro exit filter
3. Flush protection
Large downside moves and volatility shocks can trigger an exit or delay re entry
The strategy also includes its own Buy and Hold benchmark from the same start date
That keeps the comparison cleaner than relying only on TradingView’s default Buy and Hold line
With the current conservative test settings
Commission: 0.10%
Slippage: 2
Start date: 2021 01 01
Benchmark start: first available daily bar after that date
The backtest currently shows the strategy outperforming its own Buy and Hold benchmark by 147% points
Strategy return: 326%
Own Buy and Hold: 179%
Max equity drawdown: 16%
Profit factor: 3.7
Total trades: 37
The goal is not to prove that silver can be timed perfectly
The goal is to study whether silver’s violent flushes create more room for risk managed exposure than passive holding
This is a backtest and research tool
It is not a buy or sell signal
and it is not financial advice
ストラテジー
Dynamic Range RSI [DefinedEdge]🔍 OVERVIEW
Really excited to release this one. I've been working on this for a while and it solves something that always bugged me about RSI: the fixed lookback period. Markets don't move at one speed, so why should your oscillator?
Dynamic Range RSI rethinks the standard RSI by replacing the fixed lookback with a volatility-adaptive engine. The indicator reads the current ATR regime and automatically adjusts its period. Shorter when markets are volatile, longer when they're quiet. No manual switching, no lag when it matters.
It also layers in divergence detection and a higher-timeframe confluence ribbon so you're not trading the oscillator in isolation.
⚙️ HOW IT WORKS
The core calculation uses a range-normalized momentum formula instead of standard RSI math. Price changes are weighted by the current high-low range, which makes the output cleaner during trending moves and less prone to false signals during chop.
The adaptive length is driven by an ATR ratio (fast ATR vs slow ATR). When volatility spikes, the RSI period compresses toward the minimum. When volatility drops, it stretches toward the maximum. Responsive during breakouts, smooth during consolidation.
🎯 FEATURES
→ ATR-adaptive RSI length (user-defined min/max range)
→ Range-normalized momentum calculation
→ 4 smoothing methods: EMA, SMA, RMA, TMA
→ Automatic divergence detection (pivot-based, configurable lookback)
→ Higher-timeframe confluence ribbon (auto or manual HTF selection)
→ Signal line crossover dots filtered to OB/OS zones only
→ 6 built-in alert conditions
→ Dynamic length visible in status line
📊 SIGNALS
• Green circles: signal line cross up inside oversold zone
• Red circles: signal line cross down inside overbought zone
• "Bull" labels: bullish divergence (price lower low, RSI higher low)
• "Bear" labels: bearish divergence (price higher high, RSI lower high)
• Background shading: HTF ribbon turns green/red when the higher timeframe agrees on OB/OS
💡 USAGE TIPS
Works on any market, any timeframe. For crypto I like the 4H. The adaptive length flexes between roughly 1 to 5 days of lookback which catches momentum shifts well. For scalping, 15min with HTF pulling from 4H gives solid confluence.
If the dynamic length stays pinned at minimum too often, bump the Min Length up to 8-10 to smooth it out.
インジケーター
X-BreakX-Break — London Breakout Indicator
X-Break is a London Session Breakout indicator built on the Asian Range. It automatically calculates the Asian session high and low (03:00–10:00 UTC+3), draws the range box, and waits for a strong breakout candle after the London open (11:00 UTC+3).
How it works:
Builds the Asian Range box every day automatically
Looks for breakout signals only after London open
Confirms signals on candle close only — no repaint
Filters weak breakouts using candle body strength
Signal conditions:
BUY: Close above Asia High with strong bullish body
SELL: Close below Asia Low with strong bearish body
Built-in filters:
Min body % of bar: 60%
Min body vs Asia Range: 30%
Optional EMA trend filter
Optional ATR body filter
Risk Management:
TP and SL calculated automatically
Multiple SL modes: AsiaRange · Asia Edge · ATR · % of Price · Points
Supports single R:R or split TP/SL mode
Best timeframe: 15 minutes
Best markets: US100 · US30 · US500 · XAUUSD · BTCUSD
Alerts: Built-in BUY and SELL alerts — set to Once Per Bar Close
インジケーター
OPTIONS Synthetic IV Rank & Percentile [Any Stock]I wanted an indicator to help me visualize options IV.
It works on any stock, ETF, index, crypto, or forex pair because it only uses the chart’s price data (no options chain needed).
I hope this helps
インジケーター
HTF ChoCh Wick ScalperThe SMC HTF ChoCh & Single-Wick Alignment is an institutional-grade trend-following indicator designed for TradingView. It blends advanced Smart Money Concepts (SMC) market structure tracking with precise candlestick anatomy filters. By analyzing structural shifts on a Higher Timeframe (HTF), the indicator filters out minor market noise and internal pullbacks on the lower timeframe (LTF), pinpointing high-probability entry candles that align perfectly with the macro order flow.
Objective (The Purpose)
The main objective of this indicator is to ensure traders only trade with the dominant institutional trend and completely avoid "trap" setups during corrections.
By hard-locking the market direction to the Higher Timeframe's ChoCh (Change of Character), the indicator eliminates counter-trend trading. It ensures that lower-timeframe single-wick reversal candles (like Hammers or Shooting Stars) are only highlighted when they represent institutional mitigation or the completion of a pullback in the direction of the macro trend.
How It Works
The indicator operates through a strict three-step filtering process:
1. Higher Timeframe (HTF) Pivot Tracking
The script continuously monitors a user-defined Higher Timeframe (e.g., 5-Minute structure while trading on a 1-Minute chart). It uses a dynamic Pivot mechanism (ta.pivothigh and ta.pivotlow) to identify major institutional swing highs and swing lows on the HTF.
2. HTF Change of Character (ChoCh) Detection
Bullish ChoCh: When the HTF candle body closes above the last confirmed HTF swing high, a Bullish ChoCh is triggered. The indicator locks into a Bullish state.
Bearish ChoCh: When the HTF candle body closes below the last confirmed HTF swing low, a Bearish ChoCh is triggered. The indicator locks into a Bearish state.
Note: Local structural breaks on the lower timeframe are completely ignored, treating them merely as temporary market corrections.
3. Candlestick Anatomy Filtering & Bar Coloring
Once the HTF trend state is locked, the indicator scans the current lower-timeframe candles for specific institutional footprints:
In a Bullish HTF State: The indicator looks only for candles with a bottom wick and absolutely no top wick (signaling strong buying pressure and liquidity sweeps). These bars are colored Green.
In a Bearish HTF State: The indicator looks only for candles with a top wick and absolutely no bottom wick (signaling heavy selling pressure and supply mitigation). These bars are colored Red.
Any candle that does not meet these strict rules or moves against the HTF ChoCh remains its default chart color.
インジケーター
Squeeze Momentum Setup Assistant
BB/KC squeeze detection with MA trend signals, RSI filtering, and ATR-based stop/target levels.
Squeeze Momentum Setup Assistant is a hybrid volatility and trend-confirmation tool designed to help traders identify potential breakout setups, trend shifts, and ATR-based risk levels directly on the chart.
The indicator combines Bollinger Bands and Keltner Channels to detect squeeze conditions. A squeeze occurs when the Bollinger Bands contract inside the Keltner Channels, suggesting a period of reduced volatility and possible energy buildup.
When the squeeze releases, the script uses a simple momentum calculation to classify the potential breakout direction:
- SqueezeUp appears when volatility releases with positive momentum.
- SqueezeDown appears when volatility releases with negative momentum.
In addition to squeeze detection, the indicator includes a moving average crossover system with RSI filtering:
- A Call signal appears when the short moving average crosses above the long moving average while RSI remains below the overbought zone.
- A Put signal appears when the short moving average crosses below the long moving average while RSI remains above the oversold zone.
For each Call or Put setup, the indicator automatically calculates ATR-based stop and target levels. This helps traders visualize potential risk and reward zones without manually measuring volatility.
Key features:
- Bollinger Band and Keltner Channel squeeze detection
- Squeeze release direction labels
- Moving average crossover signals
- RSI-based signal filtering
- ATR-based stop loss and target projections
- Visual trend and volatility structure on the chart
This tool is designed for traders who want to combine volatility compression, momentum release, trend confirmation, and risk planning in one visual framework.
Best used with market structure, VWAP, support and resistance, volume confirmation, and higher timeframe trend context.
Important:
This indicator does not predict future price movement and should not be used as a standalone trading system. Squeeze releases can fail, moving average crossovers can lag, and ATR levels are only volatility-based reference zones. Always use proper risk management and additional confirmation.
A hybrid squeeze and trend setup assistant that combines BB/KC volatility compression, momentum release direction, MA crossover signals, RSI filtering, and ATR-based stop/target levels.
How it works:
The indicator first compares Bollinger Bands against Keltner Channels to detect volatility compression. When the Bollinger Bands move inside the Keltner Channels, the market is considered to be in a squeeze.
When the squeeze releases, momentum is used to estimate the possible breakout direction.
Separately, the script evaluates short and long moving average crossovers with RSI filtering to identify possible Call and Put setups.
When a Call or Put condition appears, the indicator calculates projected stop and target levels using ATR, allowing traders to quickly visualize volatility-adjusted risk zones.
Inputs:
BB Length:
Controls the Bollinger Band lookback period.
BB Multiplier:
Controls the width of the Bollinger Bands.
KC ATR Length:
Controls the ATR length used for the Keltner Channel calculation.
KC Multiplier:
Controls the width of the Keltner Channels.
Momentum Length:
Controls the lookback period used to estimate squeeze release direction.
Short MA Length:
Controls the fast moving average used for crossover signals.
Long MA Length:
Controls the slow moving average used for crossover signals.
RSI Length:
Controls the RSI filter used to avoid extreme overbought or oversold entries.
ATR Length for SL/Target:
Controls the ATR calculation used for stop and target projections.
Target Multiplier:
Defines how far the projected target is placed from the signal price using ATR.
Stop Loss Multiplier:
Defines how far the projected stop is placed from the signal price using ATR.
インジケーター
Bollinger Bands Breakout Oscillator
A Bollinger-style volatility oscillator that measures bullish and bearish breakout pressure when price expands beyond the upper or lower band.
Bollinger Breakout Pressure Oscillator is a momentum and volatility-based oscillator designed to measure bullish and bearish pressure outside a Bollinger-style volatility envelope.
The indicator uses an EMA as the central baseline and calculates upper and lower bands using standard deviation. Instead of simply showing whether price is above or below the bands, it measures how much price has expanded beyond the upper or lower band over a selected lookback period.
Bullish pressure is calculated when price pushes above the upper band.
Bearish pressure is calculated when price pushes below the lower band.
The result is displayed as two separate oscillator readings:
- Bullish Breakout Pressure
- Bearish Breakout Pressure
A higher bullish reading suggests stronger upside expansion beyond the upper volatility band.
A higher bearish reading suggests stronger downside expansion beyond the lower volatility band.
The midline at 50 can be used as a reference zone to evaluate whether breakout pressure is becoming more significant.
This tool can help traders identify:
- Volatility expansion
- Bullish breakout pressure
- Bearish breakout pressure
- Momentum continuation
- Exhaustion after strong moves
- Directional imbalance outside the bands
Best used with price action, volume, VWAP, support and resistance, session structure, or trend filters. This indicator is not designed to predict reversals or guarantee breakout continuation. It should be used as a pressure-reading tool, not as a standalone trading system.
How it works:
The indicator builds a volatility envelope using an EMA baseline and standard deviation bands. It then compares price against the upper and lower bands over the selected lookback period.
When price moves above the upper band, bullish breakout pressure increases.
When price moves below the lower band, bearish breakout pressure increases.
The oscillator normalizes this pressure into a percentage-style reading, making it easier to compare breakout strength across different market conditions.
Inputs:
Length:
Controls the lookback period used for the EMA, standard deviation, and pressure calculation.
Multiplier:
Controls the width of the volatility bands. Higher values create wider bands and require stronger movement to register breakout pressure.
Source:
Defines the price source used in the calculation.
Bullish Color:
Sets the color for bullish breakout pressure.
Bearish Color:
Sets the color for bearish breakout pressure.
Limitations:
- Strong readings may appear after a move is already extended.
- Low readings do not always mean the market is inactive.
- The oscillator does not provide automatic entries, exits, stop loss, or take profit levels.
- Breakout pressure can fail during fake breakouts or sharp reversals.
- It should be combined with market structure, volume, or trend context.
インジケーター
SD Stochastic RSI TrendSD Stochastic RSI Trend
SD Stochastic RSI Trend is a trend-following indicator that combines a percentile-based standard deviation filter with a Stochastic RSI momentum confirmation — identifying high-conviction directional moves while keeping exits fast and responsive.
The result is a dynamic line that moves with the market — turning blue when a bullish trend is confirmed and red when bearish, with a fill between the line and price for clear visual trend identification.
How It Works
Two independent systems validate whether a trend change is genuine:
Standard Deviation Filter — a percentile median is calculated from a configurable price source. The standard deviation of this median defines an upper statistical boundary. Price must close above this boundary for a long and below it for a short — ensuring only statistically significant moves trigger a signal
Stochastic RSI — measures where the RSI is relative to its own recent range. K must be above D for a long — confirming that momentum is genuinely building in the bullish direction. The Stochastic RSI is only required for long signals, making short exits faster and more responsive than entries
The long condition requires both systems to agree simultaneously. The short condition only requires the SD filter — exits are deliberately faster than entries.
Why This Approach Works
Most trend indicators rely on price position alone to detect direction. SD Stochastic RSI Trend adds a second independent layer — momentum confirmation via Stochastic RSI — ensuring that a long signal only fires when price is statistically above its own median boundary AND momentum is genuinely building. This eliminates weak or noise-driven entries where price crosses a level without real conviction behind it.
The asymmetric design is intentional and reflects the structural reality of markets like crypto. Longs require both conditions — statistical price strength and momentum confirmation. Shorts only require the SD filter — allowing quick exits when the statistical boundary is lost without waiting for momentum to fully confirm.
Settings
Median Source — Price source for the percentile median calculation (default: hl2)
Median Length — Lookback period for the percentile median (default: 62)
SD Length — Lookback period for the standard deviation calculation (default: 30)
K — Smoothing period for the Stochastic K line (default: 25)
D — Smoothing period for the Stochastic D line (default: 8)
RSI Length — Lookback period for the RSI calculation (default: 9)
Stochastic Length — Lookback period for the Stochastic calculation (default: 30)
Use Bar Coloring — Colors bars based on the current trend state (default: true)
Color Background — Enables background coloring of the chart based on the current state (default: false)
Background Transparency — Controls the transparency of the background color (default: 85)
How to trade it
Long — when the line turns blue and sits below price with a blue fill above it, both systems have confirmed a bullish trend. This is the signal to look for long entries or to hold existing long positions
Short / Cash — when the line turns red and sits above price with a red fill below it, the statistical boundary has been lost. This is the signal to exit longs, move to cash, or look for short entries depending on your strategy
Avoid trading against the trend — if the line is red do not look for longs, if the line is blue do not look for shorts
Recommended Usage
Best used on the 1D timeframe for clean and reliable trend identification
Should not be used alone for trade entries — combine with an additional volume or structural indicator for confirmation
The asymmetric design makes this indicator particularly well suited for bullish-biased markets like crypto — longs require full confirmation while shorts are fast and decisive
Higher Stochastic Length values smooth the momentum signal — lower values make it more sensitive to short-term momentum shifts
Adjust Median Length and SD Length together to control how wide the statistical boundary is — longer values create more stable signals, shorter values make the indicator more reactive
All signals are confirmed on bar close.
インジケーター
Elaris RSI Pro [Divergence]Elaris RSI Pro is a professional-grade RSI momentum and divergence indicator built for traders who want cleaner market structure signals, smarter divergence detection, and a more refined trading workflow.
The indicator combines a responsive RSI engine with advanced bullish and bearish divergence detection to help identify potential reversals, continuation setups, and momentum shifts across all market conditions.
Designed with a clean visual experience and optimized performance in mind, Elaris RSI Pro delivers clear signals without unnecessary chart clutter, making it suitable for scalpers, swing traders, and intraday traders alike.
Key Features:
• Regular Bullish & Bearish Divergence Detection
• Hidden Bullish & Bearish Divergence Detection
• Configurable Pivot Detection Engine
• Adjustable Minimum & Maximum Pivot Distance Filters
• Dynamic RSI Momentum Coloring
• Signal Smoothing with EMA Filter
• Overbought / Oversold Zone Visualization
• Optional Divergence Lines & Labels
• Optional Pivot Markers for Advanced Analysis
• Professional Alert Conditions
• Non-Repainting Confirmed Pivot Logic
• Optimized Object Management for Better Performance
Elaris RSI Pro is built using confirmed pivot logic, meaning divergence signals are generated only after pivot confirmation to reduce repainting behavior and improve signal reliability.
The indicator is highly customizable, allowing traders to adapt the sensitivity and visual behavior to different trading styles, markets, and timeframes.
Works well with:
• Market Structure Analysis
• Trend Following Systems
• Support & Resistance Trading
• Smart Money Concepts (SMC)
• Liquidity Sweep Confirmation
• Multi-Timeframe Confluence Strategies
Best used alongside proper risk management and confirmation tools.
Non-Repainting:
This indicator uses confirmed pivot-based calculations. Signals appear only after pivot confirmation and do not repaint historically after confirmation.
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Concordance Allocation Strategy [JOAT]Concordance Allocation Strategy
Introduction
Concordance Allocation Strategy is an open-source TradingView strategy that integrates regime detection, directional bias, momentum alignment, value-location filtering, and ATR-based risk management into one non-repainting framework. It is designed to trade only when multiple independent layers agree on bar close.
The problem this strategy solves is isolated signal bias. A single good-looking signal can fail quickly if it appears in the wrong market regime, against the wrong directional structure, or in the wrong part of value. Concordance requires those layers to align before it enters a trade, then manages risk with fixed ATR targets and adaptive exits.
Core Concepts
1. Regime filter
The strategy uses a probability-based trend-versus-range classifier. Trades are only considered when the directional regime is confirmed on a closed bar.
2. Directional bias engine
An ATR-based bias band adapts to noisy conditions and recovery stress so long and short bias are not driven by a simple moving average cross.
3. Momentum confirmation
A centered adaptive stochastic spread must align with the directional side. This prevents entries based on trend context alone.
4. Value-location filter
The strategy requires price to be properly aligned with percentile-derived value rails before entries are allowed. This helps avoid chasing direction in poor location.
5. Structured risk management
Every position uses:
ATR stop loss
ATR take profit
Adaptive trailing behavior once price extends far enough
Context exits when regime or momentum deteriorates
Features
Multi-layer entry filter: Regime, bias, momentum, and value must agree
Bar-close confirmation: Entries are evaluated using confirmed-bar logic
ATR stop loss and take profit: Risk is defined from volatility, not fixed ticks
Adaptive exit behavior: Bias band can tighten once the move extends
No higher-timeframe dependency: Uses current-timeframe calculations only
Institutional dashboard: Shows exposure state, regime, momentum, bias band, and value rails
Non-repainting framework: No future references and no lookahead logic
Input Parameters
Regime Layer:
Return Lookback
Volatility Lookback
Efficiency Length
Regime Learning
Trend Gate
Directional Bias:
ATR Length
ATR Base Multiplier
Avoidance Expansion
Recovery Pull
Noise Threshold ATR
Momentum Layer:
Stochastic Length
Stochastic Smoothing
Price Presmoothing
Adaptive Attenuation
Momentum Spread Gate
Value Layer:
Value Lookback
Lower Rail Percentile
Upper Rail Percentile
Rail Smoothing
Risk Layer:
Stop ATR
Take Profit ATR
Trail Activation ATR
Trail Buffer ATR
How to Use This Strategy
Step 1: Read the regime
The strategy only acts when the directional regime is confirmed. If the regime is rotational, it stands down.
Step 2: Confirm directional bias
The ATR bias band must agree with the side of the trade. This avoids taking long momentum setups under bearish structure or the reverse.
Step 3: Check momentum and value together
Momentum must align with the side and price must be operating in the correct value location. Both filters are required.
Step 4: Review risk settings before use
Stop and target multiples should be adjusted to the market and timeframe being tested. The defaults are intended to be realistic rather than aggressively optimized.
Strategy Limitations
No strategy can eliminate false regime transitions or rapid reversals
Percentile value rails adapt to the sample window and may lag sudden structural changes
The strategy is designed for realism and context alignment, not maximum trade frequency
Originality Statement
Concordance Allocation Strategy is original in how it requires regime confirmation, directional bias, momentum agreement, and value-location agreement before allowing entries. It is published because:
The strategy avoids isolated indicator triggers and instead uses a layered confirmation model
Its risk logic combines fixed ATR objectives with adaptive context exits
The design is intentionally current-timeframe, bar-close confirmed, and non-repainting
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice, and backtest results do not guarantee future performance. Trading involves risk of loss, and any strategy can underperform or fail in changing market conditions. Always evaluate settings carefully and use proper risk management.
ストラテジー
Daily Trading DashboardDaily Trading Dashboard (Multi-Timeframe Market Regime Matrix)
Overview.
The Daily Trading Dashboard (DTD) is a compact, high-performance tactical HUD built entirely in Pine Script v6. It condenses multiple complex layers — dollar liquidity profiling, volatility regime analysis, statistical trend maturity (Z-Score), intraday conviction velocity, and higher-timeframe momentum — into a single clean table overlay.Instead of stacking several indicator panes that consume resources and clutter your screen, DTD executes everything in one optimized stream, giving you institutional-grade market regime awareness at a glance.
Core Components & Logic.
Real-Time Dollar Liquidity Engine (D-Liq):
Dynamically measures daily liquidity depth:
Dollar Liquidity = SMA(Volume, Lookback) × Close / 1,000,000,000
The cell turns green when liquidity exceeds your custom billion-dollar threshold, helping you avoid thin, dangerous instruments.
Customizable Normal Distribution Regime (Z-Score)
Calculates statistical position relative to a user-selectable moving average (SMA/EMA):
Z-Score = (Close − MA) / StDev
Instantly labels the trend maturity with clear risk zones:
OVERSOLD (≤ -3) → HOSTILE → WEAK → NEUTRAL → STRONG → OVERBOUGHT (≥ 3)
Quantified Average Daily Range Delta Velocity (D-qADR% & ΔqADR%):
The proprietary heart of the script. qADR% = SMA((High/Low − 1) × 100, Lookback) — historical expected daily range percentage.
ΔqADR% measures how much of that expected range has already been covered in the current session.
When ΔqADR% reaches or exceeds +100% / -100%, it signals powerful institutional conviction and potential exhaustion.
Macro Timeframe Synergy:
Pulls Weekly ROC(50) and Weekly RSI(14) via request.security so you can instantly see higher-timeframe alignment without changing charts.
Parabolic Exhaustion Banner:
When both Daily RSI and Weekly RSI exceed your chosen threshold (default 80), the dashboard expands with a bold, high-visibility “PARABOLIC” warning banner — your cue to tighten trailing stops or prepare for mean reversion.
Visual & Operational Features.
Matrix Background States:
Entire rows shift between soft green (price above chosen MA) and soft red (price below MA).
Daily Conviction Circles:
Tiny circles plotted above/below bars on the daily timeframe show exact ΔqADR% conviction levels (deep green = strong bullish, deep red = strong bearish).
Optional Bar Coloring: Toggle “Color Bars by Daily ΔqADR Conviction” to paint solid green/red candles once the 100% historical range threshold is reached.
Clean Pine v6 Architecture: Uses strict typing, tuple functions, single security call, and conditional table.clear() to ensure maximum performance and zero visual jitter.
Alert Conditions (Built-in):
D-ΔqADR% ≥ +100% → “Very Strong Bull conviction on Daily”
D-ΔqADR% ≤ -100% → “Very Strong Bear conviction on Daily”
BECAME Parabolic → Both Daily & Weekly RSI cross above your threshold
NO LONGER Parabolic → Exit from parabolic state
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Current Day ADR ForecastThis script tells you the expected ADR move higher / lower for only the current day and is meant to be used only on the daily time frame.
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TimeWarp BatmanSPX Batman 1DTE — Strike Signal & Alert Tool
This indicator identifies end-of-day entry conditions for the SPX Batman spread, a two-legged options structure consisting of a long call butterfly placed out of the money above spot and a long put butterfly placed out of the money below spot. Neither fly shares legs. Both are sized and positioned independently.
What the Batman spread is
The Batman is a defined-risk, direction-neutral options trade designed to profit from a pin near expiry. It is not a straddle or strangle. Each leg is a long butterfly. The long call fly is entered OTM above spot at the close, targeting next-day expiry or Monday for Friday entries. The long put fly is entered OTM below spot on the same terms. The structure earns maximum profit if the underlying pins near either body at expiry. Max loss on each fly is limited to the debit paid.
How this indicator works
At 3:55 PM ET each session the indicator calculates proposed strike levels for both flies based on three inputs. Wing width is derived from VIX in dynamic mode or set manually, widening at elevated volatility. Body offset starts at 65 points plus the wing width from spot, rounded to the nearest 5-point SPX strike. Target debit range is calculated from your reward-to-risk inputs. A 1:15 to 1:20 target corresponds to a debit of approximately 4.8% to 6.25% of wing width per fly.
A label fires on the chart at signal time showing all six strike levels, the target debit range in points, and the expiry type. Strike lines remain visible through the next session. If the underlying trades through an outer wing a background highlight fires and a separate alert is available.
How to use it
Add the indicator to a 1-minute or 5-minute SPX chart. At the signal, open your broker's options chain for the next-day expiry. Locate the proposed call fly and put fly strikes. Walk the body strikes up or down in 5-point increments until the actual debit falls within the displayed target range. Enter both flies and manage through expiry.
Set alerts on Batman 1DTE Entry and Batman 3DTE Entry to be notified at signal time without watching the chart.
Inputs
VIX Symbol sets the data source for volatility-based width calculation.
Wing Width Mode switches between dynamic
VIX-scaled sizing and fixed widths of 20, 25, or 30 points.
Fixed Width sets the manual width when not using dynamic mode.
Min Reward to Risk and Max Reward to Risk define the acceptable debit range for each fly, defaulting to 1:15 and 1:20.
Important
This is a signal and visualization tool. It does not model options P&L, implied volatility, or time decay. TradingView cannot accurately backtest multi-leg options structures and this indicator makes no attempt to do so. All fills, debit verification, and risk management occur in your broker. Past signal frequency is not indicative of future profitability.
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Contrarian Level Strength PRO Contrarian Level Strength PRO is a discretionary trading assistant designed to analyze how price approaches manually defined support and resistance levels.
The indicator focuses on the structure, strength and context of price movement before the level is reached, helping traders evaluate whether a contrarian reaction is statistically more favorable or whether momentum is strong enough to avoid fading the move.
The script does not generate automatic buy/sell signals.
Instead, it provides contextual information intended to support discretionary execution.
Core concepts used internally:
* ATR-based volatility normalization
* Relative arrival speed calculation
* Volume expansion and contraction analysis
* Compression and overextension filters
* Liquidity sweep detection
* False breakout recognition
* Multi-timeframe EMA directional context
* Supertrend filtering
* Historical level quality analysis
* Contrarian probability scoring
Main features:
* Multi-symbol manual level profiles
* Weighted support/resistance levels
* Arrival strength score from 1 to 100
* Long vs Short probability estimation
* Liquidity sweep detection
* Fake breakout analysis
* ATR-based target and stop projections
* Technical trade management assistance
* Level invalidation logic
* Temporary contextual labels
* Dashboard with statistical tracking
* Supertrend directional filter
* Multi-timeframe directional bias
Typical interpretation:
* Low arrival strength + rejection/sweep = possible contrarian opportunity
* Strong breakout momentum = avoid fading the move
* Fresh levels generally provide higher reaction probability than heavily tested levels
The indicator is designed for traders using discretionary price action and liquidity-based execution models rather than fully automated systems.
Why manual levels?
The script intentionally uses trader-defined levels because many institutional liquidity reactions occur around discretionary market structure areas that are difficult to standardize algorithmically.
English translation of interface labels:
* “Forza arrivo” = Arrival strength
* “Livello attivo” = Active level
* “Probabilità” = Probability
* “Qualità livello” = Level quality
* “Pre-avviso” = Pre-alert
* “Stato trade” = Trade status
* “Proteggi trade” = Protect trade
* “Livello invalidato” = Level invalidated
Recommended usage:
* Define important support/resistance zones manually
* Wait for price approach
* Evaluate arrival strength and reaction quality
* Avoid fading extremely strong momentum
* Use confirmation logic before execution
This script is intended as a decision-support tool and should not be considered financial advice.
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5M Displacement Pullback Indicator5M Displacement Pullback Indicator,
Using 5M timeframe, wait for a strong displacement candle. When that happens you will wait for pullback into 50% of the displacement and enter. Stop goes under the displacement and shoot for 2:1 R:1
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