Bullish Market Structure HH HLThis indicator identifies bullish market structure by automatically marking Higher Highs (HH) and Higher Lows (HL) on the price chart using pivot-based logic.
It helps traders visually understand trend direction, structure strength, and key swing points without clutter or repainting.
🔧 How the Indicator Works
1️⃣ Pivot Lookback Input
The indicator uses a user-defined pivot lookback length
This value controls how many candles are required to confirm a swing high or swing low
2️⃣ Pivot High & Pivot Low Detection
Pivot High marks a confirmed swing high
Pivot Low marks a confirmed swing low
Pivots are confirmed only after price action completes, making the indicator non-repainting
📈 Market Structure Labels
🟢 Higher High (HH)
Displayed at confirmed swing highs
Indicates bullish momentum and trend continuation
Shown with a downward-pointing green label
🟢 Higher Low (HL)
Displayed at confirmed swing lows
Represents strong demand and trend support
Shown with an upward-pointing green label
✅ Key Features
Non-repainting pivot logic
Clean and minimal visual design
Works on all markets and timeframes
Beginner-friendly and professional-grade
📌 Trading Use Case
Identify bullish trends using HH–HL sequences
Confirm healthy pullbacks in an uptrend
Combine with support/resistance, trendlines, or higher-timeframe bias
⚠️ Disclaimer
This indicator is a market structure visualization tool, not a complete trading system.
Always use proper risk management and additional confirmation.
אינדיקטורים ואסטרטגיות
EMA 200 Distance ATR Normalized Oscillator# 📊 EMA 200 Distance Oscillator
## What Does This Indicator Do?
This oscillator measures how far the price is from the **EMA 200** (Exponential Moving Average) and transforms it into a **normalized 0-100 scale** using mathematical sigmoid function.
### Core Formula
```
1. Calculate: Price - EMA(200)
2. Normalize: (Price - EMA) / ATR
3. Transform: Sigmoid(normalized_value) × 100
```
The sigmoid function smoothly maps any distance into a readable 0-100 range, making it easy to spot trends and extremes.
---
## 📈 Key Levels
- **50** = Neutral (price at EMA 200)
- **> 50** = Price above EMA (bullish territory)
- **< 50** = Price below EMA (bearish territory)
- **> 80** = Overbought zone
- **< 20** = Oversold zone
---
## 🎯 Trading Philosophy: Stay With The Trend
**The most important principle in trading is to stay with the trend.**
This oscillator helps you:
✅ **Identify the dominant trend** (above or below 50)
✅ **Avoid counter-trend trades** (don't fight the momentum)
✅ **Spot trend exhaustion** (overbought/oversold zones)
✅ **Time your entries** (wait for pullbacks in strong trends)
### Remember:
- Values consistently above 50 = **Stay bullish**
- Values consistently below 50 = **Stay bearish**
- Don't try to catch falling knives or short strong uptrends
- **The trend is your friend until it ends**
---
## 🎨 Visual Features
- **Color gradient line**: Transitions from red (0) to green (100)
- **Histogram bars**: Shows deviation from neutral (50)
- **Background zones**: Highlights overbought/oversold areas
- **Signal triangles**: Marks trend changes at 50 level
- **Live info table**: Displays real-time metrics with vibrant colors
---
## ⚙️ Customizable Parameters
- **EMA Length** (default: 200)
- **ATR Length** (default: 14)
- **Sigmoid Multiplier** (default: 1.0) - Controls sensitivity
---
## 🔔 Built-in Alerts
- Bullish signal (crosses above 50)
- Bearish signal (crosses below 50)
- Overbought alert (enters > 80)
- Oversold alert (enters < 20)
---
## ⚠️ Disclaimer
**This indicator is for educational and informational purposes only.**
- Not financial advice
- Past performance does not guarantee future results
- Always use proper risk management
- Combine with other analysis methods
- Trade at your own risk
---
## 💬 Feedback Welcome
If you found this indicator helpful, I'd appreciate:
- A **follow** to see more trading tools
- Your **comments** and suggestions for improvement
- Sharing your experience using it
Your feedback helps me create better indicators for the community!
---
**Happy Trading & Stay With The Trend! 📈**
ATR Deviation Sigmoid Oscillator# ATR Sigmoid Volatility Regime Oscillator
## What This Indicator Does
The **ATR Sigmoid Volatility Regime Oscillator** is a volatility-regime detection tool designed to answer a single, critical question:
> *Is the market currently in a low-volatility or high-volatility regime—relative to its own recent behavior?*
Instead of using raw volatility values, this indicator **contextualizes volatility** by comparing the current ATR (Average True Range) to its own historical baseline and then mapping that deviation into a bounded, interpretable scale.
---
## How It Works (Conceptual)
1. **ATR Calculation**
The indicator starts with the standard ATR, which measures market volatility without direction.
2. **Baseline via EMA**
An EMA of ATR is used as a dynamic volatility baseline. This adapts to changing market conditions instead of relying on static thresholds.
3. **Relative Deviation**
The difference between ATR and its EMA represents how "unusual" current volatility is relative to its recent history.
4. **Normalization**
This deviation is normalized using ATR’s own dispersion, ensuring comparability across assets and timeframes.
5. **Sigmoid Transformation (0–100)**
A sigmoid function maps the normalized value into a **bounded 0–100 oscillator**, producing:
* Stability at extremes
* Smooth regime transitions
* No unbounded spikes
---
## How to Read the Oscillator
* **Above 50 (Green)**
High-volatility regime. Momentum strategies, breakout logic, and wider risk parameters tend to perform better.
* **Below 50 (Red)**
Low-volatility regime. Mean-reversion, range trading, and tighter risk controls are generally more appropriate.
* **The 50 Level**
Acts as a *volatility regime boundary*, not a buy/sell signal.
This indicator is **not directional**. It is a *context filter*.
---
## What This Indicator Is Best Used For
* Enabling/disabling strategies based on volatility regime
* Filtering false signals in low-volatility environments
* Position sizing and stop-distance adaptation
* Multi-asset volatility comparison using a common scale
---
## What This Indicator Is NOT
* ❌ Not a buy or sell signal
* ❌ Not a trend indicator
* ❌ Not predictive on its own
It is designed to be used **in combination with price, trend, or momentum logic**.
---
## Disclaimer
This indicator is provided for **educational and informational purposes only**.
It does not constitute financial advice, investment recommendations, or an offer to buy or sell any financial instrument. Trading involves risk, and past performance does not guarantee future results.
You are solely responsible for any trading decisions you make using this tool.
---
## Like This Indicator?
If you find this volatility regime tool useful:
* ⭐ **Add it to your favorites**
* 💬 **Leave a comment or feedback** — suggestions are welcome
* 👤 **Follow for future updates and new quantitative tools**
Your support helps improve and refine this work.
---
*Designed with a quantitative, regime-based approach to market analysis.*
Pivot Points Detector - ATR basedThis pivot points detector is a precision-tuned momentum and structural pivot detector designed specifically for high-frequency scalpers (like those trading ES or NQ on the 15-second timeframe).
By combining dynamic volatility filters with structural displacement requirements, it isolates high-conviction reversal points while filtering out the "noise" of lower-timeframe chop.
How It Works
This indicator utilizes a three-gate logic system to ensure that only the most significant market turns are highlighted:
Gate 1: The ATR Momentum Break
The system monitors an ATR (12 / 2.0) trailing stop. A potential pivot is only identified when the price successfully closes across this volatility line, proving that immediate momentum has shifted.
Gate 2: Absolute Structural Anchor
Once a trend change is triggered, the indicator performs a 60-bar retrospective scan (approximately 15 minutes of data) to identify the absolute Highest High or Lowest Low that initiated the move. This pins the marker to the "Source" of the trend rather than the signal bar itself.
Gate 3: The Persistence Proof (Faded vs. Solid)
To prevent "fake outs," the indicator uses a unique faded logic:
Faded Triangle: Appears instantly at the pivot source as a "potential" setup.
12-Tick Run: The triangle only turns Solid if the price travels 12 ticks from that absolute pivot without crossing back over the ATR trail.
Auto-Deletion: If the momentum fails and the ATR trail is breached before the 12-tick target is hit, the faded triangle is automatically wiped from the chart.
Key Features
Clean Visuals: Triangles are printed with a 2-tick offset from the candle wicks for maximum readability.
Label Memory Management: The script maintains a history of the last 200 triangles, ensuring performance stability during long trading sessions.
Fully Customizable: Users can adjust the ATR multiplier, the structural lookback window, the tick-confirmation target, and all visual colors directly from the settings menu.
Trend-Change Focus: Unlike standard Zig-Zags that repainting or mark every wiggle, this tool only prints a marker when a formal ATR trend flip occurs.
Best Use Case: This tool is built for the scalper who needs a reliable "Hard Level" for stop-loss management and re-entry identification. When a triangle turns Solid, it represents a verified structural floor or ceiling that has shown displacement strength.
XAU CAPITAL Premium ZonesXAU CAPITAL • Premium Support & Supply Zones is a minimalist yet powerful TradingView indicator designed for traders who prefer clarity over clutter.
This indicator automatically detects key Support and Supply zones based on pivot structure and price behavior, helping traders identify high-probability reaction areas where price is likely to pause, reverse, or continue.
🔍 Key Features:
✔ Automatically plotted Support & Supply zones
✔ Clean, transparent zones for clear price visibility
✔ EMA-based trend structure for directional bias
✔ Works smoothly on XAUUSD (Gold) and other markets
✔ Ideal for SMC, price action & intraday trading
✔ Non-repainting structure logic
🎯 Best Used For:
Gold (XAUUSD) trading
Intraday & swing setups
Entry refinement at key zones
Market structure & trend alignment
⚠️ This indicator is a technical tool and should be used with proper risk management and confirmation.
[COG] Platypus Platypus
Overview
Platypus is a volume momentum indicator that combines price action, volume analysis, and multi-timeframe confirmation to generate trade signals. Unlike traditional volume indicators, Platypus reconstructs volume momentum by factoring in price velocity, volatility adjustment, and market structure to identify true institutional momentum shifts.
The indicator features a comprehensive filtering system including EMA alignment, background state confirmation, and optional multi-timeframe filters to eliminate false signals and ensure you only trade with the strongest momentum.
Key Features
✅ Volume Momentum Calculation
Volatility-Adjusted Volume: Normalizes volume relative to recent volatility periods
Quiet Market Filtering: Reduces noise during low-activity periods
Spike Detection: Identifies abnormal volume surges with boosted weighting
Momentum Smoothing: EMA-based smoothing prevents erratic signals
✅ Entry Pattern Detection
3-Bar Pattern Requirement: RED → GREEN → GREEN for buys (opposite for sells)
State Management: Prevents consecutive signals in same direction without reset
Background Confirmation: Must align with bullish/bearish market state
EMA Alignment Filter: Ensures trend structure supports the trade direction
✅ Multi-Timeframe Filtering System
HTF Closed Bar Filter: Confirms last closed higher timeframe bar matches direction (no repaint)
HTF Momentum Filter: Requires current HTF bar to match direction (live, prevents delayed entries)
Dual-Filter Capability: Use both filters for maximum precision
✅ Dashboard
Real-time Status Monitoring: Volume trend, background state, EMA order, trade state
Filter Status Display: Shows HTF filter conditions and signal permission
Pattern Detection: Indicates when 3-bar entry pattern is forming
✅ On-Chart Integration
50/100/200 EMAs: Automatically plotted on price chart with customizable colors
Visual Entry Markers: Triangle signals appear on price chart at entry points
Signal Alerts: Built-in alert conditions for all signal types
📚 Core Settings Explained
signalPeriod = input.int(8, "Signal Period", minval=1, group="Core Settings")
Signal Period (Default: 8): Controls the smoothing of the signal line (blue line). Lower values = more responsive, higher values = smoother but slower to react.
volatilityPeriod = input.int(20, "Volatility Period", minval=1, group="Core Settings")
Volatility Period (Default: 20): Lookback period for volume and price range calculations. This period is used to normalize volume relative to recent market conditions.
priceFilterLength = input.int(200, "Price Filter MA Length", minval=1, group="Core Settings")
Price Filter MA Length (Default: 200): The SMA period used for background state determination. Price must be above this MA for bullish background, below for bearish background.
Advanced Settings
momentumMultiplier = input.float(50.0, "Momentum Multiplier", minval=20.0, maxval=80.0, step=2.0, group="Advanced")
Momentum Multiplier (Default: 50.0): Scales the final momentum score. Higher values = larger histogram bars and more sensitivity. Adjust based on your instrument's volatility.
momentumSmoothing = input.int(4, "Momentum Smoothing", minval=1, maxval=15, group="Advanced")
Momentum Smoothing (Default: 4): EMA period applied to raw momentum before normalization. Higher values reduce noise but add lag.
quietThreshold = input.float(0.3, "Quiet Market Filter", minval=0.0, maxval=1.0, step=0.05, group="Advanced")
Quiet Market Filter (Default: 0.3): During low-volume periods, this applies exponential dampening to momentum. Higher values = more aggressive filtering of weak moves.
volStrengthFactor = volRatio < (1.0 + quietThreshold) ? math.pow(volRatio, 2) : volRatio
When volume is less than average + threshold, it squares the ratio (dampening), otherwise uses linear scaling.
MTT Liquidity Transmission Z-ScoreUnderstanding the Liquidity Transmission Indicator
This indicator is a multi-asset dashboard designed to reveal the "invisible" plumbing of the financial markets. By normalizing four distinct macro drivers into Z-scores, it allows you to compare disparate data points—interest rates, volatility, and equity ratios—on a single unified scale (typically ranging from -3 to +3).
How to Interpret the Data
Expansion (Positive Z-Scores): When the lines move above the zero median, it signals easing conditions. For example, a rising US Policy Impulse suggests falling yields and a more accommodative Fed, providing a "tailwind" for risk assets.
Contraction (Negative Z-Scores): When lines drop below zero, liquidity is tightening. A plummeting Credit Transmission line indicates widening corporate spreads, suggesting that banks are less willing to lend, which often precedes market corrections.
The "Confluence" Signal: The strongest trading environments occur when all four lines align. If Speculative Excess and International Impulse are both surging alongside US policy, you are witnessing a global "Risk-On" regime.
Trading Application
Watch for divergences. If the S&P 500 is making new highs but the Liquidity Transmission lines are trending lower (becoming "overbought" or exhausted), the market is likely running on fumes. Conversely, look for "oversold" bounces from the -2.0 level as potential entry points for a mean-reversion swing trade.
WVF TREND + ATR Zone + Smart Pivot ZonesThis indicator combines Williams Vix Fix (WVF) EMA, ATR-based dynamic zones, and Smart Pivot Zones into a single, clean overlay tool designed to help visualize market pressure, volatility, and key structural levels on the chart.
Core Components
WVF EMA Overlay
The WVF value is smoothed with an EMA and projected onto the price chart. This helps visualize relative market stress and momentum behavior directly on price.
ATR-Based WVF Zone
An adaptive zone is calculated around the WVF EMA using ATR.
This zone reflects current volatility conditions and adjusts automatically as market activity changes.
Smart Pivot Zones
Pivot highs and lows are detected and expanded into dynamic support and resistance zones using ATR.
These zones highlight areas where price has previously reacted with significance.
Visual Logic
The WVF EMA line changes color based on price position relative to it.
The ATR zone is softly shaded to avoid clutter while maintaining context.
Pivot zones are clearly separated into support (low pivots) and resistance (high pivots).
Purpose
This indicator is intended to provide context, not signals.
It helps traders visually assess:
Volatility expansion or contraction
Areas of historical price reaction
The relationship between price structure and volatility-based pressure
Important Notice
This indicator does not generate buy or sell signals and should not be considered financial advice.
It is a visual analysis tool meant to be used alongside other forms of technical analysis and proper risk management.
ICT Opening Gap Strategy [Momentum1]Momentum strategy taken off the close of the first candle after the NDOG/NWOG. Built with Gemini.
Gap Finder PROGap Finder PRO
An advanced TradingView indicator that detects bullish and bearish price gaps, tracks them in real time, and confirms closure only after a full candle close.
Features clear color-coded gaps, visual fill symbols, gap strength columns, and sound alerts for precise, noise-free gap trading.
lib_b2_INDILibrary "lib_b2_INDI"
f_getChunk0()
f_getChunkNames()
f_getExpectedLength()
f_getKeyword()
f_dummyRegister()
f_loadChunk(name)
Parameters:
name (string)
FxShare - CC ReversalVery simple , but very grounded, strict and pure math+statistics -based algo:
Based on candle count and reverse .
You can set how many candles (and their body shape) you count in a row before the retracement and market overstretch happens. It also has an EMA filter if you wish for even stronger but more rare signals.
Use it, break it, improve it.
Smart Money Sessions + Liquidity + FVGSmart Money Sessions + Liquidity + Fair Value Gap is a clean and professional price-action based indicator designed for Gold (XAUUSD) and Forex traders who follow Smart Money Concepts (SMC) and ICT methodology.
This indicator focuses on where liquidity is taken, when structure shifts, and where imbalance (FVG) is created, without cluttering the chart or repainting signals.
🔍 Key Features
🕒 Session High & Low (Killzones)
Automatically plots Asia, London, and New York session highs and lows
Helps identify:
Asia range manipulation
London fakeouts
New York continuations
💧 Liquidity Sweep Detection
Detects wick-based liquidity grabs
Highlights areas where stop-losses are likely taken
Ideal for spotting smart money entries
🔁 Market Structure Shift (MSS)
Simple and clean bullish & bearish structure shifts
Helps confirm trend continuation or reversal
Non-repainting logic
📦 Fair Value Gap (FVG)
Uses true 3-candle imbalance logic
Highlights bullish and bearish FVG zones
Clean visualization without over-plotting
✅ Why This Indicator?
❌ No repainting
❌ No lagging indicators
❌ No unnecessary colors
✅ Based purely on price action
✅ Beginner-friendly & professional-grade
✅ Optimized for Gold (XAUUSD)
🎯 Best Use Cases
Gold scalping & intraday trading
London & New York session trades
Liquidity-based entries
ICT / Smart Money strategies
⚠️ Disclaimer
This indicator is a visual analysis tool, not a buy/sell signal generator.
Always combine it with proper risk management and your own trading plan.
Neeson Trend Price Oscillator Pulse EditionNeeson Trend Price Oscillator Pulse Edition: A Comprehensive Market Cycle Analysis Tool
Overview and Purpose
The Trend Price Oscillator Pulse Edition is a sophisticated technical analysis indicator designed to identify major market cycle tops and bottoms. This tool operates as a standalone oscillator in a subchart, providing clear visual signals of overbought and oversold conditions within the context of long-term market cycles. Developed for position traders and long-term investors, it focuses on capturing significant market turning points rather than short-term fluctuations.
Integration Rationale and Component Synergy
The indicator integrates three core analytical concepts into a cohesive system:
Detrended Price Oscillator (DPO) Foundation: Traditional DPO methodology isolates cyclical price movements by removing the underlying trend component. This creates a clearer view of oscillatory behavior without the distortion of long-term directional bias.
Normalization Framework: By converting raw DPO values to a standardized 0-100 scale, the indicator establishes consistent reference points for market extremes across different instruments and timeframes. This normalization enables meaningful comparison of oscillator readings regardless of absolute price levels.
Dynamic Threshold System: The implementation of adjustable threshold levels (default: 95% for overbought, 5% for oversold) creates adaptive boundaries that respond to changing market volatility and cycle characteristics.
These components work synergistically: The DPO extracts cyclical information from price action, the normalization process standardizes this information for consistent interpretation, and the threshold system provides actionable decision points based on historical extremes.
Operational Mechanism
The indicator calculates a detrended price value by comparing current price against a displaced moving average. This detrended value is then normalized against its historical range over a specified lookback period, transforming it into a percentage-based oscillator. A smoothing filter is applied to reduce noise and highlight significant movements.
The oscillator's movement through threshold zones generates four distinct market signals:
Entry into overbought territory (crossing above 95%)
Exit from overbought territory (crossing below 95%)
Entry into oversold territory (crossing below 5%)
Exit from oversold territory (crossing above 5%)
Each signal corresponds to a specific market condition hypothesis regarding institutional versus retail trader dynamics in major market cycles.
Practical Application Guidelines
Primary Use Cases:
Identification of potential major cycle turning points on weekly and monthly timeframes
Confirmation tool for existing trading strategies requiring cycle analysis
Risk management through recognition of extreme market conditions
Interpretation Framework:
Overbought Conditions (Oscillator ≥ 95%): Suggest potential selling pressure from major market participants. Consider reducing long exposure or implementing protective measures.
Oversold Conditions (Oscillator ≤ 5%): Indicate potential accumulation zones by institutional buyers. Consider establishing or adding to long positions using dollar-cost averaging strategies.
Threshold Crossings: Monitor for exits from extreme zones as potential confirmation that a cycle peak or trough may have formed.
Parameter Considerations:
Default parameters (548-period oscillator, 274-period offset, 1096-period lookback) are optimized for identifying major market cycles. Users may adjust these values for different market conditions or timeframes, though significant parameter changes will alter the indicator's sensitivity and signal frequency.
Originality and Distinctive Features
This implementation incorporates several innovative aspects:
Extended Cycle Focus: Unlike most oscillators designed for shorter timeframes, this tool employs exceptionally long calculation periods specifically for identifying primary market cycles.
Dynamic Normalization: The lookback-based normalization adapts to changing market conditions without requiring manual recalibration.
Multi-Signal Alert System: Four distinct alert conditions provide nuanced information about market state transitions rather than simple binary signals.
Integrated Risk Context: Each signal includes contextual information about potential market participant behavior, encouraging disciplined risk management.
Empirical Considerations and Limitations
The indicator provides probabilistic assessments based on historical price behavior, not predictive certainties. Market conditions may change, rendering historical patterns less reliable. Users should consider:
The indicator performs best in trending or cyclical markets; it may generate false signals during extended range-bound periods.
No technical indicator, including this one, can guarantee future market movements.
Proper position sizing and risk management should accompany all trading decisions, regardless of indicator signals.
Expected User Outcomes
When used as part of a comprehensive trading plan, this indicator can help users:
Identify potential reversal zones in major market cycles
Develop patience by focusing on significant rather than frequent trading opportunities
Maintain objective perspective during market extremes through quantitative assessment
Coordinate entry and exit timing with cycle analysis
The Trend Price Oscillator Pulse Edition represents a specialized tool for traders seeking to align their strategies with major market cycles through systematic analysis of price oscillation behavior relative to long-term trends.
VWAP Tension Bands + Osc Sigma Gap [MAXmks]Hello Traders,
This indicator started as an accident. I was building a different tool — a multi-metric dashboard — and added VWAP deviation as one of the components. I expected it to help catch falling knives. It didn't.
But I noticed something else. During cooling-off periods — when volatility fades and price just sits there, not really going anywhere — VWAP deviation on lower timeframes would start climbing quietly. And more often than not, a pullback followed. Sometimes a liquidity sweep first, then a pullback. I watched this pattern for months before deciding to build a dedicated tool around it, adding oscillator confirmation to filter the noise.
This is that tool.
The core idea
Markets act like a rubber band around VWAP — the further price stretches, the higher the tension. But raw deviation isn't enough. The real question: is momentum confirming the stretch, or lagging behind?
The σ-Gap captures when these two disagree — price pushed hard, but internals haven't caught up. That's where mean-reversion setups tend to appear.
The indicator tracks VWAP deviation across 2m / 5m / 15m simultaneously and compares it against a composite of momentum oscillators (Williams %R, CVD-based metrics). Signals require multi-timeframe consensus — no single timeframe can trigger alone.
Adaptive thresholds
What counts as "extreme" isn't fixed. Distance is measured in standard deviations (σ) , not pips or percentages — so the indicator adapts to volatility automatically. Thresholds scale with regime and historical distribution, adjusting to current market conditions in real time.
Two modes
Standard — adaptive thresholds, more signals. Good for active sessions and exploration.
High Precision — adds divergence confirmation from multiple oscillators (MFI, Delta RSI, CVD Z-Score). Fewer signals, higher selectivity.
Extreme Tension
When σ-Gap exceeds 1.6× the threshold, the indicator can fire without full confirmation. Rare, but these are the "overstretched" moments worth watching.
Filters (so you don't trade ghosts)
RVOL filter blocks signals during low activity. Session close filter avoids entries near VWAP reset. 24h volume filter skips illiquid instruments. Cooldown prevents signal clustering in the same direction.
Best use case
Built for short-term mean-reversion — quick snapback plays on 5m–15m charts where price overextends and reverts within a few candles. The engine is optimized for this rhythm, not for trend-following or swings.
On-chart
Tension Bands show dynamic threshold zones around VWAP. Signals are non-repainting and confirmed on bar close. Compact HUD displays all metrics, filter states, and signal status in real time.
Alerts
Pre-signal alerts when conditions start forming. Confirmed signal alerts with full breakdown: VWAP deviation values, σ-Gap readings, divergences detected, current mode.
Volume matters
This is a VWAP-based indicator. No volume data = no signal. If your instrument shows "No Volume" in the dashboard, switch to a data feed that provides it (crypto spot, futures, stocks with real volume).
A note on expectations
I use this logic in my own research and it has shown useful results for me in my backtesting scenarios. But this is an indicator for analysis , not a magic button. Your execution, fees, slippage, and market regime all matter. Treat signals as context, not commands. DYOR.
Feedback welcome.
For educational and analysis purposes only. Not financial advice.
Sami_nuvem_emasThis cloud shows the EMAs; when it's a sell, it turns red, and when it's a buy, it turns green, showing buy and sell signals. Be careful, as the script is just an indicator; it will cause losses if used for automated trading."
SMC/ICT: High Prob Signal FINALSMC/ICT: High-Probability Trend Signal This professional-grade indicator combines ICT/SMC concepts with Moving Average momentum. It identifies the Daily Bias using Candle Range Theory and tracks the Midnight Open to define Premium and Discount zones. To minimize noise, it only triggers EMA 9/21 crossover signals when they align with the higher-timeframe trend and institutional pricing levels. It also features a dynamic New Week Opening Gap (NWOG) anchor for structural reference.
ORB Algo | WolfOfFuturesThis Script is an updated version of the Flux Charts ORB Algo
15min ORB default
4EMA breakout Condition
Dynamic TP Default
GT Model IndicatorThis indicator will help you detect 15m FVGs on NQ. After setting the alert, you can check the chart to see if the FVG aligns with the Bias. This way, when the price reenters this FVG, we can check the LTF for an IFVG that aligns with the Bias. If you find this FVG interesting, set a manual alert on the FVG again, let the price return, and see if you can initiate a continuation trade towards the clear DOL.
You can also specify a time window for the alerts to arrive.
This indicator is for "NQ1!"
We will update this Script allong the way, so stay tuned, more to come.
MTF Volume Profile & Signal Scanner v5The MTF Signal Scanner is a multi-timeframe trading system designed for futures trading, particularly optimized for MNQ (Micro E-mini Nasdaq-100). It combines volume profile analysis, EMA trend filtering, and a confluence scoring system to identify high-probability trade setups.
Adaptive Pullbacks ML v2.5Adaptive Pullbacks ML - Context-Aware Trend Trading
Overview
Adaptive Pullbacks ML is a sophisticated trend-following tool that solves the biggest problem in pullback trading: "Is this a dip to buy, or the start of a reversal?"
Unlike standard indicators that use fixed percentages or static moving averages, this script uses a 5-Dimensional k-Nearest Neighbors (k-NN) machine learning engine to learn the specific characteristics of successful pullbacks for the asset you are trading.
The 5-Dimensional ML Engine
The market is dynamic. A pullback depth that works in a low-volatility lunch session might fail during a high-volatility news event. This indicator tracks 5 key dimensions for every pullback:
Depth (ATR Normalized): How deep is the pullback relative to volatility?
Trend Slope: Is the trend steep (parabolic) or flat (grinding)?
ADX: How strong is the directional energy?
VWAP Distance: Is price extended or close to value?
Time of Day: Is this a morning drive or an afternoon fade?
When a new pullback occurs, the k-NN engine finds the 5 most similar historical events across these dimensions and predicts the probability of success.
Core Features
1. Fractal Normalization
The indicator speaks the language of ATR (Average True Range). It doesn't care if you trade the 15-second chart or the Daily chart. A "1.5 ATR Pullback" is a statistically comparable event across all timeframes, allowing for robust, scale-invariant analysis.
2. HTF Stats Bridge (Higher Timeframe Data)
You can trade on lower timeframes (e.g., 1-minute) while using statistics derived from higher timeframes (e.g., 15-minute). This ensures your signals are based on significant market structure, not microstructure noise.
3. Smart Zones
The indicator plots dynamic "Value Zones" based on learning:
Cyan Zone (Avg Depth): The "Sweet Spot". High probability bounce area.
Yellow Zone (Sigma): The "Extension". Price is stretching elastic limits.
Red Zone (Deep): The "Danger/Opportunity". Statistical anomaly.
4. PQS & k-NN Filters
Two layers of filtering protect your capital:
PQS (Probability Qualification Score): Based on raw win-rate of the zone.
k-NN Probability: Based on similarity to past winners.
Settings Guide
Stats Timeframe: The timeframe to learn from (Leave empty for Chart).
Trend/Trigger Settings: Define what constitutes a trend for your strategy.
k-Neighbors: Number of historical twins to compare (Default: 5).
Min PQS / k-NN: Thresholds for filtering weak signals.
Disclaimer: This tool is for educational purposes. Past performance of the k-NN engine does not guarantee future results.
channeller proChanneller Pro - Statistical Price Channel Detection
What This Script Does
Channeller Pro identifies and draws price channels using pivot points, linear regression, and quality filters. It detects bullish and bearish channels and draws support/resistance lines with quality metrics.
Originality & Methodology
This script combines:
Pivot Point Detection: Uses TradingView's ta.pivothigh() and ta.pivotlow() with configurable left/right lookback to identify swing highs and lows.
Linear Regression Analysis: Fits a least-squares regression line through detected pivot points to determine channel slope and intercept.
R² Quality Scoring: Calculates the coefficient of determination (R²) to measure regression fit quality. R² values closer to 1.0 indicate stronger linear alignment of pivots. Channels below the minimum R² threshold are filtered out.
Pattern Validation:
Bullish channels require higher lows (ascending pivot lows)
Bearish channels require lower highs (descending pivot highs)
This ensures channels align with trend structure
ADX Trend Filter: Uses Average Directional Index (ADX) to show channels only when trend strength exceeds a threshold, reducing false signals in choppy markets.
Volume Confirmation (optional): Filters channels based on volume exceeding a moving average threshold.
Dynamic Channel Width: Calculates channel width by finding the maximum deviation from the regression line within the pivot range, then draws parallel support/resistance lines.
Channel Invalidation Logic: Tracks bounces and pierces. Channels are invalidated after multiple pierces through support/resistance, ensuring only active channels are displayed.
How It Works
Detection Process:
Identifies pivot highs/lows using the specified lookback periods
Stores recent pivots in arrays (configurable max count)
When minimum pivot count is reached, calculates linear regression through pivot points
Validates the channel by checking:
R² score meets minimum threshold (default 0.7)
Slope direction matches trend (positive for bullish, negative for bearish)
Pattern structure (higher lows for bullish, lower highs for bearish)
ADX exceeds threshold (if enabled)
Volume confirmation (if enabled)
If valid, draws support/resistance lines parallel to the regression line
Continuously monitors for channel breaks and invalidates when pierced multiple times
Mathematical Foundation:
Linear regression uses least squares: y = slope × x + intercept
R² calculation: R² = 1 - (SS_res / SS_tot) where SS_res is residual sum of squares and SS_tot is total sum of squares
Channel width = maximum price deviation from regression line within pivot range
How to Use
Basic Setup:
Apply the indicator to your chart
Adjust "Pivot Lookback Left/Right" to control pivot sensitivity (default 10 bars each)
Set "Min Pivots for Channel" (default 3) - higher values require more confirmation but reduce false signals
Configure "Min R² Score" (default 0.7) - higher values show only the best-fitting channels
Filter Configuration:
ADX Filter: Enable to show channels only during trending conditions (ADX > threshold)
Volume Filter: Enable to require volume confirmation for channel formation
HL/LH Pattern: Keep enabled to ensure channels follow proper trend structure
Trading Applications:
Support/Resistance: Use channel boundaries as dynamic support/resistance levels
Trend Following: Trade bounces off channel boundaries in the direction of the trend
Breakout Trading: Monitor for channel breaks as potential trend reversal signals
Channel Quality: Higher R² scores (displayed in labels) indicate stronger, more reliable channels
Display Options:
Toggle channel fills, mid-lines, pivot markers, and labels
Adjust projection length to extend channels into the future
Customize colors for bullish/bearish channels
Alerts:
The script includes alerts for:
New channel formation
Channel break/invalidation
New pivot detection
Important Notes
Channels are statistical constructs based on historical pivot points and do not guarantee future price action
R² scores indicate fit quality, not trading performance
Channels may be invalidated as market conditions change
Past channel performance does not predict future results
Always use proper risk management and combine with other analysis methods
Technical Details
Built-in Pine Script v6
Uses arrays for pivot storage and management
Implements custom linear regression calculation
Real-time channel validation and invalidation
Configurable quality thresholds and filters
