orb cody hoskinscody orb designed a 15 min range orb indicator for people to use dur8ng market open in asian and new york
애버리지 트루 레인지 (ATR)
ORB + INMERELO ADR + ATRThis indicator provides **two completely different but complementary lines of information** for intraday traders:
# **1. The ORB Line (ADR-Based Context Line)**
The ORB portion of the script focuses on **range expansion** relative to typical daily behavior.
### **What it measures**
* **20-day ADR (Average Daily Range)**
* **Today’s range as a % of ADR**
* **How much of the average range has been “used”** by the time you’re considering an Opening Range Breakout
### **Why it matters for ORB trading**
Successful ORBs thrive when:
* **ADR used% is low** (green) → plenty of fuel left for expansion
* **ADR used% is moderate** (orange) → breakout still possible but less explosive
* **ADR used% is high** (red) → breakout attempts often fail or reverse
### **What the indicator gives you**
A clean, color-coded readout of:
* ADR
* Today’s range
* Used%
* A simple green/orange/red evaluation of ORB quality
This allows a trader to quickly judge whether **conditions favor ORB continuation or mean-reversion reversal**—without manually calculating ranges or switching charts.
---
# **2. The INMERELO Line (ATR Stretch + MA Interaction)**
The INMERELO portion of the script is built around **mean-reversion mechanics**:
the market tends to revert back toward the **first daily MA it crosses under**.
### **How it determines the active MA**
At the start of each session, the script waits for price to cross under:
* **EMA10**
* **EMA21**
* **SMA50**
Whichever MA is crossed first becomes the **active MA** for the day.
If no cross has occurred yet, the indicator shows the **nearest MA**, so traders know exactly what the likely “INMERELO magnet” will be.
### **What it measures**
* **Stretch from the active MA (in ATR units)**
* **20-day ATR regime direction (expanding or contracting)**
* **Daily MA context: E10, E21, or S50**
### **Why it matters for INMERELOs**
This provides:
* The **target MA**
* The **distance to that MA in ATRs**
* A color-coded stretch score:
* **0.6–1.2 ATR** → prime INMERELO zone (Green)
* Moderately stretched → Orange
* Overstretched or dead zone → Red
An up/down arrow shows whether **volatility is expanding or compressing**, which affects expected retrace behavior.
### **What the indicator gives you**
All INMERELO data is displayed in a second compact line:
* Stretch to MA
* Active MA label (E10/E21/S50)
* ATR regime arrow
This allows fast identification of high-probability **mean-reversion trades back to the MA**.
---
# **Summary**
This indicator shows:
### **Line 1 → ORB Context (ADR)**
* Is the stock setup for a powerful breakout?
* How much ADR is left?
* Are you early (good) or late (risky)?
### **Line 2 → INMERELO Context (ATR + MA Stretch)**
* Which MA is in control today (EMA10, EMA21, or SMA50)?
* How many ATRs away from that MA are we?
* Is volatility expanding or contracting?
* Is this a clean INMERELO setup or not?
Together, these two lines give traders the **two most important intraday lenses**:
**range expansion (ORB)** and **mean reversion (INMERELO)**—updated every bar, without clutter.
Smart TP Manager - FREE Edition📘 Smart TP Manager - User Guide
🎯 Parameter Adaptation by Timeframe
IMPORTANT: Default parameters are optimized for M5 (5 minutes). If you trade on other timeframes, you MUST adapt the parameters for better results.
📊 Recommended Settings Table
M1 (1 minute) - Ultra Scalping
ATR SL Multiplier: 1.5 - 1.8
Number of TPs: 3 - 4
Base RR: 0.4 - 0.5
Confirmation Bars: 2
Cooldown: 3 - 5 bars
Breakeven: Enable after TP1
Profile: Very fast trades, immediate exits, tight SL
M5 (5 minutes) - Scalping ✅ DEFAULT
ATR SL Multiplier: 1.8 - 2.0
Number of TPs: 4 - 5
Base RR: 0.5 - 0.6
Confirmation Bars: 2 - 3
Cooldown: 5 - 8 bars
Breakeven: Enable after TP1 or TP2
Profile: Standard scalping, balance between speed and security
M15 (15 minutes) - Intraday
ATR SL Multiplier: 2.0 - 2.2
Number of TPs: 5 - 6
Base RR: 0.6 - 0.8
Confirmation Bars: 3
Cooldown: 8 - 10 bars
Breakeven: Enable after TP2
Profile: Intraday trading, 3-8 trades per day
H1 (1 hour) - Swing
ATR SL Multiplier: 2.2 - 2.5
Number of TPs: 5 - 6
Base RR: 0.8 - 1.0
Confirmation Bars: 3 - 4
Cooldown: 10 - 15 bars
Breakeven: Enable after TP2 or TP3
Profile: Swing trading, 1-3 trades per day
H4 (4 hours) - Position
ATR SL Multiplier: 2.5 - 3.0
Number of TPs: 6
Base RR: 1.0 - 1.2
Confirmation Bars: 4 - 5
Cooldown: 15 - 20 bars
Breakeven: Enable after TP3
Profile: Position trading, multi-day trades
🔍 Adaptation Logic
General Rule:
LOWER Timeframe → TIGHTER Parameters
HIGHER Timeframe → WIDER Parameters
Why Adapt?
1. ATR SL Multiplier
M1: Very volatile market, fast moves → Tight SL (1.5-1.8)
H4: Slow moves, breathing room needed → Wide SL (2.5-3.0)
2. Number of TPs
M1: Quick exits before reversal → 3-4 TPs
H4: Let profits run → 6 TPs
3. Base RR
M1: Close targets, quick exits → 0.4-0.5
H4: Ambitious targets, patience → 1.0-1.2
4. Confirmation Bars
M1: Fast entry, 2 candles enough
H4: Strong confirmation needed, 4-5 candles
5. Cooldown
M1: Multiple trades per hour possible → 3-5 bars
H4: Important spacing between trades → 15-20 bars
6. Breakeven
M1: Immediate protection after TP1
H4: Let trade breathe, BE after TP3
💡 Real Examples
Example 1: Gold M1 Scalping
Goal: 10-20 trades/day, ultra-fast exits
Recommended Parameters:
- ATR SL: 1.6
- TPs: 4
- Base RR: 0.5
- Confirmation: 2
- Cooldown: 5
- BE: ON after TP1
Expected Results:
- Winrate: 40-50%
- Net P/L: +3 to +6R per day
- SL: 10-15 pips
- TP1: 5-8 pips (quick exit)
Example 2: Gold M15 Day Trading
Goal: 3-6 trades/day, let it breathe
Recommended Parameters:
- ATR SL: 2.1
- TPs: 5
- Base RR: 0.7
- Confirmation: 3
- Cooldown: 10
- BE: ON after TP2
Expected Results:
- Winrate: 50-60%
- Net P/L: +5 to +10R per day
- SL: 20-30 pips
- TP1: 14-21 pips
Example 3: Gold H1 Swing Trading
Goal: 1-2 trades/day, maximum patience
Recommended Parameters:
- ATR SL: 2.4
- TPs: 6
- Base RR: 0.9
- Confirmation: 4
- Cooldown: 12
- BE: ON after TP2
Expected Results:
- Winrate: 55-65%
- Net P/L: +8 to +15R per week
- SL: 40-60 pips
- TP1: 36-54 pips
⚠️ Common Mistakes to Avoid
❌ MISTAKE #1: Using same parameters on all timeframes
M1 with ATR SL 2.5 → SL too wide, huge losses
H4 with ATR SL 1.5 → SL too tight, constant stop outs
❌ MISTAKE #2: Too many TPs on low timeframe
M1 with 6 TPs → Impossible to reach all TPs
❌ MISTAKE #3: Too long confirmation on M1
M1 with 5 confirmation bars → Misses all fast moves
❌ MISTAKE #4: Too short cooldown on H4
H4 with 3 bars cooldown → Overtrading, too many poor-quality trades
🎯 Testing Methodology
Step 1: Start with recommended values
Use the table above according to your timeframe
Step 2: Backtest on minimum 100 trades
Observe:
Winrate
Net P/L in R
Number of BE hits
Trade frequency
Step 3: Adjust based on results
If too many SL hits:
↑ Increase ATR SL Multiplier by +0.2
↑ Increase Confirmation Bars by +1
If not enough trades:
↓ Reduce Cooldown by -2
↓ Reduce Confirmation Bars by -1
If TPs never reached:
↓ Reduce Number of TPs by -1
↓ Reduce Base RR by -0.1
If too many BE but no real wins:
↑ Increase Base RR by +0.1
Disable BE temporarily
📈 Performance Tracking
Key indicators by timeframe:
TFTrades/DayMin WinrateNet P/L/DayAvg SL (pips)M110-2040%+3R10-15M55-1245%+4R15-20M153-850%+5R20-30H11-455%+3R40-60H40.5-260%+2R80-120
🚀 Final Advice
DO NOT USE THE SAME PARAMETERS ON DIFFERENT TIMEFRAMES!
Each timeframe has its own dynamics. Adapting parameters is not optional, it's MANDATORY for optimal results.
Different timeframe = Different parameters = Different results
Quick Reference Chart
M1 → AGGRESSIVE (tight SL, few TPs, quick BE)
M5 → BALANCED (default settings)
M15 → MODERATE (wider SL, more TPs)
H1 → PATIENT (wide SL, max TPs, late BE)
H4 → CONSERVATIVE (very wide SL, all TPs, very late BE)
📝 Best Practices
Always backtest on your specific timeframe before live trading
Start conservative - use higher ATR multipliers first
Track your stats - Wins, Losses, BE, Net P/L
Adjust gradually - change one parameter at a time
Respect your timeframe - don't force H4 parameters on M1
Use breakeven wisely - protect profits but don't choke trades
Monitor cooldown - too many trades = lower quality
🎓 Understanding the Strategy
EMA 9/21 Crossover
BUY: EMA9 crosses above EMA21
SELL: EMA9 crosses below EMA21
RSI Filter
Avoids overbought (>70) for longs
Avoids oversold (<30) for shorts
Confirmation System
Requires X consecutive candles meeting conditions
Reduces false signals
Take Profit Structure
Non-linear TP levels
TP1: 0.5R (default)
TP2: 1.0R
TP3: 1.5R
TP4: 2.0R
TP5: 2.5R
Risk Management
ATR-based stop loss (adapts to volatility)
Optional breakeven after specified TP
Cooldown prevents overtrading
🌟 Pro Tips
Gold (XAUUSD) specific: Use tighter parameters than forex pairs
NY Session: More volatility, tighter SL recommended
Asian Session: Lower volatility, consider skipping or wider SL
News events: Increase cooldown before/after major news
Trending markets: Increase Number of TPs
Ranging markets: Decrease Number of TPs, faster exits
Happy Trading! 🎯
Remember: Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Average True Range Stop Loss Finder [MasterYodi]This indicator utilizes the Average True Range (ATR) to help traders identify optimal stop-loss levels that reduce the risk of premature exits caused by market volatility or tight stop placements. The default multiplier is set to 1.5, providing a balanced stop-loss buffer. For more conservative setups, a multiplier of 2 is recommended; for tighter risk management, use 1.
ATR values and corresponding stop-loss levels are displayed in a table at the bottom of the chart.
Use the high-based (red) level for short positions
Use the low-based (teal) level for long positions
ATR (No Gap) - Advanced Volatility IndicatorA customizable Average True Range indicator that eliminates gap distortion between trading sessions, providing cleaner volatility measurements for intraday and swing traders.
Key Features:
Gap Filtering: Optional toggle to ignore overnight/weekend gaps that distort volatility readings
EMA Smoothing: Defaults to EMA for more responsive volatility tracking (also supports RMA and SMA)
Half ATR Display: Shows 50% ATR value for quick stop-loss and take-profit calculations
Clean Value Table: Real-time values displayed on chart with configurable decimal precision
Flexible Settings: Customize length, smoothing method, and display options
Ideal for:
Setting dynamic stop losses and take profits
Position sizing based on current volatility
Comparing gap vs. no-gap volatility measurements
Trading instruments with large overnight gaps (indices, forex, crypto)
Use this indicator to get a more accurate picture of intraday volatility without the noise from session gaps!
ATR / Price RatioDescription:
This indicator plots the ratio of the Average True Range (ATR) to the current price, showing volatility as a percentage of price rather than in absolute terms. It helps compare volatility across assets and timeframes by normalizing for price level.
A higher ATR/Price ratio means the market is moving a larger percentage of its value each bar (high relative volatility). A lower ratio indicates tighter, quieter price action (low relative volatility).
Traders can use this ratio to:
• Compare volatility between instruments
• Identify shifts into high or low volatility regimes
• Adjust position sizing and stop distances relative to risk
Whale Hunter🇬🇧 English Description
Whale Hunt is a simple yet powerful indicator designed to detect unusually large candles in the market.
It identifies candles exceeding a set volatility threshold based on ATR (Average True Range), marking them as “Whale Candles.”
📈 Features:
Option to include/exclude wicks in calculations
Separate color customization for bullish and bearish candles
Midpoint lines projected forward based on candle size
Adjustable ATR period and multiplier
💡 Use Cases:
Detecting strong market moves
Observing volatility spikes
Identifying liquidity grabs
⚠️ Disclaimer:
This indicator is for educational purposes only and does not constitute financial advice.
Adaptive CE-VWAP Breakout Framework [KedArc Quant]Description
A structured framework that unites three complementary systems into one charting engine:
Chandelier Exit (CE) – ATR-based trailing logic that defines trend direction, stop placement, and risk/reward overlays.
Swing-Anchored VWAP (SWAV) – a dynamically anchored VWAP that re-starts from each confirmed swing and adapts its smoothness to volatility.
Pivot S/R with Volume Breaks – confirmed horizontal levels with alerts when broken on expanding volume.
This script builds a single workflow for bias → trigger → managementwithout mixing unrelated indicators. Each module is internally linked rather than layered cosmetically, making it a true analytical framework—not.
Acknowledgment
Special thanks to Dynamic Swing Anchored VWAP by Zeiierman, whose swing-anchoring concept inspired a part of the SWAV module’s implementation and adaptation logic.
Support and Resistance Levels with Breaks by LuxAlgo for S/R breakout logic.
How this helps traders
Trend clarity – CE color-codes direction and provides evolving stops.
Context value – SWAV traces adaptive mean paths so traders see where price is heavy or light.
Action filter – Pivot+volume logic highlights true structural breaks, filtering false moves.
Discipline tool – Optional R:R boxes visualize risk and target zones to enforce planning.
Entry / Exit guidelines (for study purposes only)
Bias Use CE direction: green = long bias red = short bias
Entry
1. Breakout method– Trade in CE direction when a pivot level breaks on valid volume.
2. VWAP confirmation– Prefer breaks occurring around the nearest SWAV path (fair-value cross or re-test).
Exit
Stop = CE line / recent swing HL / ATR × (multiplier)
Target = R-multiple × risk (default 2 R)
Optional live update keeps SL/TP aligned with current CE state.
Core formula concepts
ATR Stop: Stop = High/Low – ATR × multiplier
VWAP calc: Σ(price × vol) / Σ(vol) anchored at swing pivot, adapted by APT (Adaptive Price Tracking) ratio ∝ ATR volatility.
Volume oscillator: 100 × (EMA₅ – EMA₁₀)/EMA₁₀; valid break when threshold %.
Input configuration (high-level)
Master Controls
Show CE / SWAV modules Theme & Fill opacity
CE Section
ATR period & multiplier Use Close for extremums
Show buy/sell labels Await bar confirmation
Risk-Reward overlay: R-multiple, Stop basis (CE/Swing/ATR×), Live update toggle
SWAV Section
Swing period Adaptive Price Tracking length Volatility bias (ATR-based adaptation) Line width
Pivot & Volume Breaks
Left/Right bar windows Volume threshold % Show Break labels and alerts
Best timeframes
Intraday: 5 m – 30 m for breakout confirmation
Swing: 1 h – 4 h for trend context
Settings scale with instrument volatility—adjust ATR period and volume threshold to match liquidity.
Glossary
ATR: Average True Range (volatility metric)
CE: Chandelier Exit (trailing stop/trend filter)
SWAV: Swing-Anchored VWAP (anchored mean price path)
Pivot H/L: Confirmed local extrema using left/right bar windows
R-multiple: Profit target as a multiple of initial risk
FAQ
Q: Does it repaint? A: No—pivots wait for confirmation and VWAP updates forward-only.
Q: Can modules be disabled? A: Yes—each section has its own toggle.
Q: Can it trade automatically? A: This is an indicator/study, not an auto-strategy.
Q: Is this financial advice? A: No—educational use only.
Disclaimer
This script is for educational and analytical purposes only.
It is not financial advice. Trading involves risk of loss. Past performance does not guarantee future results. Always apply sound risk management.
QuantumFlow MTF System Extended
QuantumFlow MTF System Extended
Multi-Timeframe Directional Flow & Volatility Alignment Engine — Higher-Timeframe Edition
The QuantumFlow MTF System Extended is a higher-timeframe analytical framework that expands upon the original QuantumFlow concept.
While the base version focuses on short-term structures (1M – 15M), this edition is designed for traders who need to observe medium- to long-term directional harmony across the 30M, 45M, 1H, 2H, 3H and 4H timeframes.
Its purpose is to provide a structured, non-repainting overview of how momentum and volatility align over broader market horizons — helping traders understand the prevailing directional flow rather than predicting future prices.
Concept
The system aggregates confirmed Supertrend directions from each higher timeframe, converting them into normalized bullish or bearish values.
These values are then processed through dual-layer EMA momentum filters that validate the directional strength of each component.
The resulting matrix displays a precise snapshot of how higher-timeframe market structures are synchronized — serving as a compass of directional alignment rather than a buy/sell signal generator.
A multi-ATR framework defines adaptive volatility zones, allowing each instrument to react proportionally to its intrinsic volatility profile.
This approach smooths sensitivity shifts that often occur between intraday and multi-hour structures, delivering consistent analytical behavior across asset classes.
How It Works
Confirmed Multi-Timeframe Supertrend
Each timeframe produces a close-confirmed Supertrend direction, ensuring signal stability and preventing repainting.
Adaptive Multi-ATR Model
Multiple ATR instances with distinct deviation factors define dynamic volatility thresholds that self-adjust to market conditions.
Dual EMA Momentum Validation
Two independent EMA layers filter and confirm each Supertrend direction, improving directional clarity and reliability.
Flow Totals Engine
The indicator sums all timeframe states into real-time bullish/bearish totals and percentage ratios, clearly visualized within a single panel.
Configurable Alerts (Optional)
Users may set threshold-based alerts when directional alignment reaches specified intensity levels (for example, when all timeframes are synchronized).
Full Customization
All visual elements — colors, text, background, and layout — can be adjusted to match personal preferences or chart themes.
Intended Use and Benefits
Observe how higher-timeframe trends align to reveal medium-term directional bias.
Quantify the balance of bullish vs bearish momentum across multiple timeframes.
Combine with lower-timeframe analysis (e.g. the original QuantumFlow System) to establish multi-layer confirmation between short- and mid-term flows.
Maintain awareness of trend synchronization or divergence without relying on subjective chart interpretation.
This indicator does not provide trading signals, forecasts, or financial advice.
It is an analytical tool intended to assist users in studying market structure and volatility behavior.
Chart Display
QuantumFlow Extended presents a unified dashboard that lists each analyzed timeframe, its active directional state, and the overall flow balance in numeric and percentage form.
It functions seamlessly on all instruments and can be used standalone or alongside the original short-term version.
Access
This is an invite-only indicator.
To request access or additional information, please contact the author privately via the TradingView profile.
ATR SL/TP Precision Zones (Dots)ATR SL/TP Precision Zones (Dots) is a volatility-based tool designed to help traders set accurate Stop Loss and Take Profit levels based on real market volatility — not fixed pips or emotion.
This indicator uses ATR (Average True Range) multiplied by 1.2 to calculate dynamic distance bands.
Instead of drawing a ribbon or channel, it places simple dots above and below each candle:
Upper Dot (Green) → Suggested Take Profit / Price Stretch Zone
Lower Dot (Red) → Suggested Stop Loss Cushion / Support Expansion Zone
Because ATR measures market volatility, these dots expand during high volatility and tighten during slow markets, helping traders avoid stop-loss hunts and premature exits.
Why This Works
Most traders lose because:
They set SL too close → stopped out by noise
They set TP too far → price never reaches it
This tool calibrates those distances automatically based on real price movement behavior.
ATR = volatility
Volatility = market breathing room
This indicator ensures your trade has room to breathe, increasing win consistency.
Best Use Cases
Scalping
Swing trading
Trend continuation entries
Reversal confirmations with support/resistance
Works on Crypto / Forex / Stocks / Futures
ATR-Based Volatility SL/Target Planner (MTF Table)✅ ATR SL & Target Planner (MTF Table – Chart, 10m, 15m)
This indicator provides a clean multi-timeframe ATR table showing:
✅ ATR (Chart / 10m / 15m)
✅ Entry price (manual or auto)
✅ ATR-based Stop-Loss
✅ Target 1 & Target 2
✅ MTF level comparison
✅ High-contrast color-coded SL (Red) + Targets (Green)
✅ Selected timeframe highlighted automatically
Designed for intraday traders, positional traders, and volatility-based strategies.
✅ How to Use It
✅ 1. Choose Entry Mode
Manual Entry ON → Type your entry price
Manual Entry OFF → Last candle close is used
The script calculates ATR(14) on:
Current chart timeframe
10-minute timeframe
15-minute timeframe
Then it uses standard volatility-based formulas:
Stop-Loss = Entry ± (ATR × SL Multiplier)
Target 1 = Entry ± (ATR × T1 Multiplier)
Target 2 = Entry ± (ATR × T2 Multiplier)
Direction depends on Long/Short mode.
You can switch which ATR timeframe becomes active (affecting plotted lines + alerts).
✅ Why This Indicator Is Useful
This script solves 3 common problems:
✅ 1. “How wide should my stop-loss be?”
ATR automatically adjusts the SL to market volatility.
✅ 2. “Which timeframe ATR should I trust?”
You can compare Chart, 10m, and 15m in one panel.
✅ 3. “The table is too big in other indicators.”
This is compact, clean, color-coded, and readable.
Happy Trading :)
Quantura - Supply & Demand Zone DetectionIntroduction
“Quantura – Supply & Demand Zone Detection” is an advanced indicator designed to automatically detect and visualize institutional supply and demand zones, as well as breaker blocks, directly on the chart. The tool helps traders identify key areas of market imbalance and potential reversal or continuation zones, based on price structure, volume, and ATR dynamics.
Originality & Value
This indicator provides a unique and adaptive method of zone detection that goes beyond simple pivot or candle-based logic. It merges multiple layers of confirmation—volume sensitivity, ATR filters, and swing structure—while dynamically tracking how zones evolve as the market progresses. Unlike traditional supply and demand indicators, this script also detects and plots Breaker Zones when previous imbalances are violated, giving traders an extra layer of market context.
The key values of this tool include:
Automated detection of high-probability supply and demand zones.
Integration of both volume and ATR filters for precision and adaptability.
Dynamic zone merging and updating based on price evolution.
Identification of breaker blocks (invalidated zones) to visualize market structure shifts.
Optional bullish and bearish trade signals when zones are retested.
Clear, visually optimized plotting for efficient chart interpretation.
Functionality & Core Logic
The indicator continuously scans recent price data for swing highs/lows and combines them with optional volume and ATR conditions to validate potential zones.
Demand Zones are formed when price action indicates accumulation or a strong bullish rejection from a low area.
Supply Zones are created when distribution or strong bearish rejection occurs near local highs.
Breaker Blocks appear when existing zones are invalidated by price, helping traders visualize potential market structure shifts.
Bullish and bearish signals appear when price re-enters an active zone or breaks through a breaker block.
Parameters & Customization
Demand Zones / Supply Zones: Enable or disable each individually.
Breaker Zones: Activate breaker block detection for invalidated zones.
Volume Filter: Optional filter to only confirm zones when volume exceeds its long-term average by a user-defined multiplier.
ATR Filter: Optional filter for volatility confirmation, ensuring zones form under strong momentum conditions.
Swing Length: Controls the number of bars used to detect structural pivots.
Sensitivity Controls: Adjustable ATR and volume multipliers to fine-tune detection responsiveness.
Signals: Toggle for on-chart bullish (▲) and bearish (▼) signal plotting when price interacts with zones.
Color Customization: User-defined bullish and bearish colors for both standard and breaker zones.
Core Calculations
Zones are detected using pivot highs and lows with a defined lookback and lookahead period.
Additional filters apply if ATR and volume are enabled, requiring conditions like “ATR > average * multiplier” and “Volume > average * multiplier.”
Detected zones are merged if overlapping, keeping the chart clean and logical.
When price breaks through a zone, the original box is closed, and a new breaker zone is plotted automatically.
Bullish and bearish markers appear when zones are retested from the opposite side.
Visualization & Display
Demand zones are shaded in semi-transparent bullish color (default: blue).
Supply zones are shaded in semi-transparent bearish color (default: red).
Breaker zones appear when previous imbalances are broken, helping to spot structural shifts.
Optional arrows (▲ / ▼) indicate potential buy or sell reactions on zone interaction.
Use Cases
Identify institutional areas of accumulation (demand) or distribution (supply).
Detect potential breakout traps and market structure shifts using breaker zones.
Combine with other tools such as volume profile, EMA, or liquidity indicators for deeper confirmation.
Observe retests and reactions of zones to anticipate possible reversals or continuations.
Apply multi-timeframe analysis to align higher timeframe zones with lower timeframe entries.
Limitations & Recommendations
The indicator does not predict future price movement; it highlights structural imbalances only.
Performance depends on chosen swing length and sensitivity—users should optimize parameters for each market.
Works best in volatile markets where supply and demand imbalances are clearly expressed.
Should be used as part of a broader trading framework, not as a standalone signal generator.
Markets & Timeframes
The “Quantura – Supply & Demand Zone Detection” indicator is suitable for all asset classes including cryptocurrencies, Forex, indices, commodities, and equities. It performs reliably across multiple timeframes, from intraday scalping to higher timeframe swing analysis.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It clearly explains the indicator’s originality, underlying logic, functionality, and intended use without unrealistic claims or performance guarantees.
Quantura - Trendchange ZonesIntroduction
“Quantura – Trendchange Zones” is an advanced technical indicator that identifies and visualizes potential market reversal zones using dynamic RSI-based logic. It highlights areas of overbought and oversold conditions, marking them as visual zones directly on the price chart, and generates corresponding bullish and bearish signals when the RSI exits these extremes. The tool helps traders anticipate possible trend change regions and confirm momentum shifts in a clean, intuitive way.
Originality & Value
Unlike traditional RSI indicators that only show a static oscillator, this tool transforms RSI behavior into on-chart visual zones that represent structural overbought and oversold phases. It converts RSI threshold breaches into price-based regions (boxes) and marks reversal signals at the moment of momentum change.
The indicator’s originality and usefulness come from its:
Direct visualization of RSI overbought and oversold areas as dynamic chart zones.
Automatic detection of potential reversal regions where momentum exhaustion is likely.
Integration of RSI-based signals and visual cues without requiring users to monitor the RSI window.
Adjustable sensitivity for RSI length and upper/lower levels.
Clear color-coded separation of bullish and bearish phases.
Functionality & Core Logic
The indicator continuously monitors RSI values relative to the user-defined thresholds.
When RSI moves above the upper level, an Overbought Zone is created and extends until RSI falls back below that threshold.
When RSI moves below the lower level, an Oversold Zone is generated and extends until RSI returns above that level.
When RSI exits one of these zones, a corresponding Trendchange Signal (▲ bullish or ▼ bearish) appears at the transition point.
Each zone dynamically adjusts its high and low levels during formation, representing the complete range of the exhaustion phase.
Parameters & Customization
RSI Length: Defines the sensitivity of RSI calculation. Shorter lengths make signals more responsive; longer lengths filter noise.
Upper Level / Lower Level: Set thresholds for overbought and oversold conditions (default 70 / 30).
Signals: Toggle on/off for displaying bullish (▲) and bearish (▼) reversal signals.
Zones: Toggle the visualization of shaded RSI-based zones.
Colors: Fully customizable bullish and bearish colors for both signals and zones.
Visualization & Display
Bullish reversal zones (oversold exits) are shaded using the chosen bullish color (default: blue).
Bearish reversal zones (overbought exits) are shaded using the chosen bearish color (default: red).
Each completed zone is outlined and filled with transparent shading for better clarity.
Reversal arrows (▲ for bullish, ▼ for bearish) are displayed at the bar where RSI exits the extreme level.
Clean overlay design ensures compatibility with any chart style or color scheme.
Use Cases
Identify overbought and oversold periods directly on the price chart without switching to the RSI window.
Anticipate potential market reversals or exhaustion points based on RSI momentum shifts.
Combine with trend indicators, moving averages, or volume tools for confirmation.
Apply across multiple timeframes to align short-term reversal signals with higher timeframe momentum.
Use zone width and duration to assess the strength and persistence of overbought/oversold conditions.
Limitations & Recommendations
The indicator is not a standalone trading system but a visual confirmation tool.
False signals may occur in strongly trending markets where RSI remains overextended.
Optimal RSI settings may differ between assets (e.g., crypto vs. equities).
Combining this indicator with additional trend or structure filters can enhance accuracy.
Markets & Timeframes
The “Quantura – Trendchange Zones” indicator works across all markets and timeframes, including cryptocurrencies, Forex, stocks, and commodities. It is suitable for both short-term scalping and long-term swing analysis.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It provides a clear explanation of the indicator’s originality, logic, and function while avoiding unrealistic performance or predictive claims.
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.
QuantumFlowTraderQuantumFlowTrader
Adaptive Flow Visualizer with Multi-ATR Volatility Engine and Multi-EMA Clouds
Overview
QuantumFlowTrader is an adaptive market flow visualizer that integrates multiple EMA clouds, a session VWAP framework, and a tested multi-ATR volatility engine.
It is built to help traders interpret directional strength, institutional balance, and volatility synchronization across any asset and timeframe available on TradingView.
How It Works
1. Multi-EMA Clouds — Trend Structure and Flow Context
QuantumFlowTrader employs several EMA-based cloud layers to represent short-, medium-, and long-term structure simultaneously.
Each cloud adapts dynamically to price movement, revealing trend alignment and momentum stacking across depths of the market.
When all EMA clouds align in the same direction, the color gradient intensifies (green for bullish, red for bearish).
When structure conflicts, transparency increases, signaling mixed or transitional phases.
This multi-cloud approach allows traders to see structure, flow, and trend shifts at a glance, eliminating guesswork and highlighting transitions between trend and consolidation.
2. Session VWAP — Institutional Equilibrium and Reaction Zones
The Session VWAP represents the real-time mean price that institutional participants often reference.
QuantumFlowTrader enhances it with tested adaptive deviation envelopes, which highlight zones where price frequently reacts or pauses.
These deviation zones dynamically expand or contract with volatility, defining institutional fair-value regions and potential continuation or mean-reversion boundaries.
VWAP color automatically changes based on whether price trades above or below the equilibrium, giving immediate visual feedback on session bias.
3. QuantumFlow ATR Engine — Core Innovation
At the heart of QuantumFlowTrader is its proprietary multi-ATR engine, a deeply tested system that runs multiple ATR calculations and deviation layers at the same time.
Unlike single-metric approaches, this composite engine merges several ATRs with different sensitivities and deviations to identify synchronized volatility alignment.
When all ATR layers align bullish, a green up-arrow appears below the bar.
When all align bearish, a red down-arrow appears above the bar.
This configuration has been tested for many years across market types and volatility regimes.
Its goal is to detect moments when price action, volatility, and structure converge, which historically coincide with the start or continuation of strong directional flows.
This multi-ATR architecture is what makes QuantumFlowTrader genuinely unique among volatility-based systems.
Adaptability Across Assets and Timeframes
QuantumFlowTrader is universally adaptable:
Works effectively on any timeframe, from scalping to swing or position trading.
Performs consistently across Forex, Stocks, Indices, Commodities, and Crypto.
The internal algorithms automatically adjust their sensitivity and scaling to the selected chart’s behavior, ensuring smooth adaptation to different volatility environments.
This makes it suitable for traders who want a consistent analytical framework adaptable to both short-term and long-term contexts.
Customization and Alerts
EMA Clouds: adjust colors, transparency, and visibility for each structural layer.
VWAP Zones: toggle the equilibrium line and deviation visualization.
ATR Arrows: control arrow appearance and size for bullish/bearish events.
Dynamic Scaling: built-in adaptive multiplier auto-balances volatility response.
Built-in alerts:
Buy Condition: all ATR layers bullish and price above VWAP.
Sell Condition: all ATR layers bearish and price below VWAP.
These alerts identify situations where both directional flow and volatility alignment agree.
Originality and Value
QuantumFlowTrader is not a mash-up of public indicators.
Its originality lies in how it integrates:
Multiple EMA clouds for layered structural analysis.
Session VWAP with adaptive deviation zones to reveal institutional equilibrium and price reactions.
A proprietary multi-ATR engine that combines several ATR and deviation configurations simultaneously for volatility confirmation.
Together, these systems produce a unified, adaptive visualization of market structure, volatility, and flow — helping traders stay aligned with dynamic directional conditions while filtering out low-efficiency noise.
Example — Multi-Timeframe Integration (Optional Use)
While QuantumFlowTrader works effectively on any single chart, many traders use a three-screen workflow to synchronize trend, momentum, and execution:
1 Screen: 15-minute, Defines dominant trend direction (multi-EMA cloud + VWAP bias).
2 Screen: 5-minute, Confirms flow alignment and momentum coherence.
3 Screen: 1-minute, Executes entries when ATR arrows appear in the same direction as the 15-minute trend.
Example workflow:
1. Identify overall direction from 15m cloud and VWAP structure.
2. Wait for 5m confirmation.
3. Time entries on 1m using ATR arrows aligned with the higher timeframe.
This structure enhances precision and reduces counter-trend exposure.
Best Practices and Limitations
Always use proper risk management and forward testing before applying live.
Author’s Instructions:
To request access, please contact the author through the TradingView profile.
Simulated Fear & Greed (CNN-calibrated v2)🧭 Fear & Greed Index — TradingView Version (Simulated CNN Model)
🔍 Purpose
The Fear & Greed Index is a sentiment indicator that quantifies market emotion on a scale from 0 to 100, where:
0 represents Extreme Fear (capitulation, oversold conditions), and
100 represents Extreme Greed (euphoria, overbought conditions).
It helps traders assess whether the market is driven by fear (risk aversion) or greed (risk appetite) — giving a high-level view of potential turning points in market sentiment.
⚙️ How It Works in TradingView
Because TradingView cannot directly access CNN’s or alternative external sentiment feeds, this indicator simulates the Fear & Greed Index by analyzing in-chart technical data that reflect investor psychology.
It uses a multi-factor model, converting price and volume signals into a composite sentiment score.
🧩 Components Used (Simulated Metrics)
Category Metric Emotional Interpretation
Volatility ATR (Average True Range) High ATR = Fear, Low ATR = Greed
Momentum RSI + MACD Histogram Rising momentum = Greed, Falling = Fear
Volume Activity Volume Z-Score High positive deviation = Greed, Low = Fear
Trend Context SMA Regime Bias (50/200) Downtrend adds Fear penalty, Uptrend supports Greed
These elements are normalized into a 0–100 scale using percentile ranks (like statistical scoring) and then combined using user-adjustable weights.
⚖️ CNN-Style Calibration
The script follows CNN’s five sentiment bands for clarity:
Range Zone Colour Description
0–25 Extreme Fear 🔴 Red Panic, forced selling, capitulation risk
25–45 Fear 🟠 Orange Uncertainty, hesitation, early accumulation phase
45–55 Neutral ⚪ Gray Balanced sentiment, indecision
55–75 Greed 🟢 Light Green Optimism, trend continuation
75–100 Extreme Greed 💚 Bright Green Euphoria, risk of reversal
This structure aligns visually with CNN’s public gauge, making it easy to interpret.
[FGL] Stochastic ATR Trend IndicatorThis indicator:
Detects trend direction using ATR-based dynamic bands around SMA.
Generates buy/sell signals using Stochastic crossover conditions filtered by trend.
Colors candles to show trend direction.
Plots a visual “trend zone” band on the chart.
INPUT PARAMETERS:
Stochastic Length → Period for the stochastic oscillator.
Smooth K and Smooth D → Smoothing parameters for %K and %D lines.
ATR Length → Period used for SMA-based trend detection.
LOGIC FLOW
Determine trend using long ATR-based SMA channel.
Detect momentum change with Stochastic cross.
Confirm both momentum and price align with trend.
Generate buy/sell signal + change candle color.
STRATEGIC INTERPRETATION
Best use: Trend-following momentum entries.
Avoids: Countertrend false signals by filtering with trend value.
Signals:
Buy: In uptrend + bullish stochastic crossover.
Sell: In downtrend + bearish stochastic crossover.
Integrated Volatility Intelligence System (IVIS) AutoKVolMind™ AutoK — Integrated Volatility Intelligence System (IVIS)
IVIS AutoK
Author: © lfu
Public Description (for publication)
VolMind™ AutoK represents an institutional-grade open-source framework for adaptive volatility intelligence and probabilistic trade management.
This system fuses Kalman-inspired KAMA smoothing, CVD dynamics, Auto K-Means clustering, entropy-based regime analysis, and a Kolmogorov–Smirnov market normality test into a single modular platform.
Key Capabilities:
Adaptive ATR Stop Bands dynamically scale with volatility, entropy, and cluster variance.
Auto KMeans Intelligence automatically selects the optimal cluster count for price structure recognition (3–10 clusters).
Entropy Module quantifies structural uncertainty and information decay within price movement.
KS-Test Integration identifies non-normal distributions, signaling regime divergence and volatility inflection.
CVD Dynamics reveal real-time directional bias via cumulative volume delta.
MSI Composite Signal fuses multi-source indicators (ATR, CVD, entropy, clusters) to model market stress and adaptive risk.
Designed for forward-looking quant traders, IVIS serves as a volatility intelligence backbone for portfolio automation, volatility forecasting, and adaptive stop-loss scaling.
Fully open-source for research and applied strategy development. Not a financial advice. DYOR.
Volume Weighted Average True RangeThis indicator calculates a customizable version of the Average True Range (ATR), a tool for measuring market volatility. It enhances the standard ATR with volume weighting, a dual-smoothing process, normalization, and volatility pivot detection.
Key Features:
Volume Weighting: An option (Volume weighted) allows for volume to be incorporated into the volatility calculation. This provides a measure of "volume-adjusted" volatility that is more responsive to significant market activity.
Dual Smoothing Process: For noise reduction, the indicator employs a two-stage smoothing process. It first calculates a smoothed True Range (TR) over a user-defined period (TR Length) before applying the final ATR moving average (ATR Length & ATR Smooth).
Normalization (Percentage Volatility): An optional 'Normalize' mode calculates the ATR as a percentage of the price. This allows for consistent volatility comparison across different assets and over long time periods.
Volatility Pivot Detection: The indicator includes a built-in pivot detector that identifies significant turning points (highs and lows) in the ATR line itself, signaling potential shifts in volatility.
Note on Confirmation (Lag): Pivot signals are confirmed using a lookback method. A pivot is only plotted after the Pivot Right Bars input has passed. This is essential for ensuring the signal is non-repainting but introduces an inherent lag.
Multi-Timeframe (MTF) Capability:
MTF ATR Line: The ATR line itself can be calculated on a different timeframe, with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Pivot detection (Calculate Pivots) is disabled if a Higher Timeframe (HTF) is selected.
Integrated Alerts: Includes alerts that trigger when a new volatility pivot (high or low) is detected in the ATR line.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
QuantumFlow MTF SystemQuantumFlow MTF System © 2025
Multi-Timeframe Directional Flow & Volatility Alignment Engine
QuantumFlow MTF System is designed to synchronize volatility- and trend-based signals from multiple timeframes into a single, structured view of market flow.
Concept
The system evaluates confirmed Supertrend directions from several lower timeframes, then aggregates them into normalized bullish/bearish values. These values are combined with dual-layer EMA momentum filters to verify directional strength. The resulting matrix provides a precise snapshot of alignment across short- to medium-term market structures.
Unlike classical ATR-based systems, QuantumFlow employs multiple ATR layers with multiple deviation factors that have been extensively tested over the years.
This multi-ATR framework acts as an adaptive volatility filter, allowing each asset class to respond dynamically to its intrinsic volatility profile.
The result is a robust and consistent analytical engine capable of adapting to varying market conditions across assets and timeframes.
How It Works
- Confirmed Multi-Timeframe Supertrend:
Each timeframe calculates a close-confirmed Supertrend direction, preventing repainting and ensuring signal reliability.
- Multi-ATR Volatility Model:
Several ATR instances with distinct deviation multipliers define volatility thresholds that adjust sensitivity across market conditions.
- Dual EMA Structure:
Two independent EMA layers act as momentum validators to confirm or filter each Supertrend direction.
- Flow Totals Engine:
The script sums all directional states into a real-time ratio of bullish vs bearish conditions, visualized through color-coded totals.
- Adaptive Alerts:
Optional thresholds allow traders to receive alerts when directional imbalance reaches predefined intensity levels.
Use Cases
- Identify when multiple timeframes align in the same trend direction.
- Quantify the relative dominance of bullish or bearish pressure.
- Filter trades using adaptive multi-ATR volatility filters per asset type.
- Confirm entries by validating multi-timeframe directional consensus.
Chart Display
QuantumFlow displays a structured table showing the state of each analyzed timeframe and the current flow balance. Works seamlessly on any instrument and timeframe.
This invite-only indicator provides a systematic way to analyze directional flow alignment using a multi-ATR volatility engine combined with momentum synchronization across multiple timeframes.
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Author’s Instructions:
To request access, please contact the author privately through the TradingView profile.
Volatility Resonance CandlesVolatility Resonance Candles visualize the dynamic interaction between price acceleration, volatility, and volume energy.
They’re designed to reveal moments when volatility expansion and directional momentum resonate — often preceding strong directional moves or reversals.
🔬 Concept
Traditional candles display direction and range, but they miss the energetic structure of volatility itself.
This indicator introduces a resonance model, where ATR ratio, price acceleration, and volume intensity combine to form a composite signal.
* ATR Resonance: compares short-term vs. long-term volatility
* Acceleration: captures the rate of price change
* Volume Energy: reinforces the move’s significance
When these components align, the candle color “resonates” — brighter, more intense candles signal stronger volatility–momentum coupling.
⚙️ Features
* Adaptive Scaling
Normalizes energy intensity dynamically across a user-defined lookback period, ensuring consistency in changing market conditions.
* Power-Law Transformation
Optional non-linear scaling (gamma) emphasizes higher-energy events while keeping low-intensity noise visually subdued.
* Divergence Mode
When enabled, colors can invert to highlight energy divergence from candle direction (e.g., bearish pressure during bullish closes).
* Customizable Styling
Full control over bullish/bearish base colors, transparency scaling, and threshold sensitivity.
🧠 Interpretation
* Bright / High-Intensity Candles → Strong alignment of volatility and directional energy.
Often signals the resonant phase of a move — acceleration backed by volatility expansion and volume participation.
* Dim / Low-Intensity Candles → Energy dispersion or consolidation.
These typically mark quiet zones, pauses, or inefficient volatility.
* Opposite-Colored Candles (if divergence mode on) → Potential inflection zones or hidden stress in the trend structure.
⚠️ Disclaimer
This script is for educational purposes only.
It does not constitute financial advice, and past performance is not indicative of future results. Always do your own research and test strategies before making trading decisions.
