Apex Adaptive Trail [Neuro-Core]⚡ Apex Adaptive Trail
Apex Adaptive Trail is not just another trend-following indicator. It is a complete trading system powered by a "Neuro-Core" logic engine that evaluates trend quality in real-time, filtering out noise and adapting dynamically to market volatility.
Unlike standard Supertrends that provide static signals regardless of market conditions, Apex calculates a live Confidence Score (0-100%) for every trade, allowing you to distinguish between high-probability setups and weak signals.
🧬 Key Features
1. "Neuro-Core" Engine & Confidence Scoring The script constantly analyzes 4 confluence factors to assign a quality score to the trend:
EMA Baseline: Is price positioned correctly relative to the trend baseline?
ADX Momentum: Is there sufficient trend strength (>20)?
Chop Index: Is the market trending or ranging/choppy?
MTF Alignment: Does the Daily trend confirm the current direction? The result is a Confidence % displayed directly on the dashboard.
2. Two-Tier "Impact" Signals
BUY / SELL: Standard signals with Confidence > 75%. Solid for regular entries.
MAX 🔥: "Ultra Strong" signals with Confidence > 90%. These appear only when all filters are green and probability is maximized.
3. Adaptive Risk Management (Smart ATR) The market is not static. Apex reads current volatility:
High Volatility: The Trailing Stop automatically widens to prevent "whipsaws" (getting stopped out by noise).
Low Volatility: The stop tightens to protect profits faster.
4. Integrated Synthetic Heikin Ashi The script calculates Heikin Ashi smoothing internally to determine the trend. This allows you to keep your chart on Standard Candles for price action analysis, while enjoying the noise-reduction benefits of Heikin Ashi for the trend logic.
📊 The Analytics Dashboard
Located in the corner, it provides an instant X-Ray of the market:
Confidence: The quality score of the current signal (with dynamic emojis).
Active Filters: Shows how many confluence filters are currently passed (e.g., 3/4).
Market Mode: Tells you if the market is Volatile, Quiet, or Normal.
Trend Bias: The underlying trend direction.
Est. Win Rate: A real-time simulation based on historical signals (Entry vs. Trend Flip Exit).
🛠️ How to Use
Setup: Works on all timeframes, but excels on 15m, 1H, and 4H. Ideal for Crypto, Forex, and Indices.
Entry: Wait for an APEX BUY or SELL signal.
Pro Tip: Prioritize signals with the 🔥 emoji (MAX) or Confidence > 80%.
Trade Management:
Use the dotted TP1 and TP2 lines for partial profit taking.
Use the Trailing Stop line (the edge of the colored cloud) as your dynamic Stop Loss.
Visual Filter: The "Confidence Cloud" becomes more transparent when the trend is weak. If the cloud is fading out, exercise caution.
⚙️ Customizable Settings
Synthetic Heikin Ashi: Toggle the internal smoothing on/off.
Dynamic Targets: Choose if TPs should be fixed at entry or move dynamically with volatility.
Filters: You can individually enable/disable EMA, ADX, Chop, and MTF logic to suit your trading style.
⚠️ Disclaimer This tool is designed to assist in trading decisions, not to replace them. The Estimated Win Rate is based on the historical data loaded on the chart and does not guarantee future performance. Always manage your risk responsibly.
Please leave a like 👍 if you find this script useful and drop a comment with your feedback!
Volatilidad
Uptrick: Price Memory TrendIntroduction
Uptrick: Price Memory Trend is a custom indicator designed to detect directional shifts and volatility changes using a non-traditional price memory approach. Unlike moving average systems, it builds a dynamic memory of price that adapts gradually over time, allowing it to detect significant deviations and trend transitions with reduced noise.
Overview
This script identifies trend changes by comparing the current price to a memory-based baseline. When price deviates significantly from this memory base, it triggers a trend regime shift—either bullish or bearish. Adaptive deviation bands are calculated using absolute deviation from the memory base, not ATR or standard deviation, which allows the indicator to capture volatility uniquely. Visual components include color-coded candles, labeled signals, optional bands, and a live status table summarizing current trend metrics.
Originality
The indicator’s core innovation lies in its use of a decaying memory function to track trend direction, replacing moving averages with a price memory that responds only to significant deviations. This method avoids lag typically associated with smoothing techniques, enabling timely trend detection. Furthermore, deviation is measured directly in price terms, rather than through volatility surrogates like ATR or Bollinger Bands, resulting in a more raw and responsive depiction of price behavior.
Inputs
Core Engine
Memory Strength: Sets how strongly the memory responds to price changes. Higher values make the memory base more reactive.
Memory Decay: Controls how much past memory is retained. Lower values weight new prices more heavily.
Deviation Length: Length of the EMA used to smooth absolute price deviation. A longer setting results in smoother bands.
Band Multiplier: Expands or contracts the dynamic bands. Higher values widen the bands, reducing sensitivity.
Customization
Color Palette: Selects one of six predefined color schemes for bull and bear visuals.
Show Bands: Enables or disables the display of deviation bands.
Look: Chooses between 'Bands', 'Trail', or 'Intense' styles, affecting how bands and fills are drawn.
Bands
Trail
Intense
Show Info Table: Toggles display of the real-time trend and volatility status panel.
Table Position: Determines which corner of the chart the info panel appears in.
Text Size: Adjusts font size used within the info table.
Features
Trend Detection
Bullish Shift: Triggered when price crosses above the upper band, entering a new bullish regime.
Bearish Shift: Triggered when price crosses below the lower band, entering a new bearish regime.
Trend state is persistent and updated only on confirmed transitions, avoiding repeated entries in the same direction.
Candle Coloring
Candles are dynamically recolored based on current trend direction: bull, bear, or neutral.
Signal Labels
Visual labels marked "Up" or "Down" are placed on the chart when a regime shift occurs, helping to mark turning points.
Deviation Bands
Dynamic upper and lower bands are drawn based on smoothed absolute deviation from the memory base.
Additional outer bands based on ATR may be drawn to highlight zone intensity when the 'Intense' or 'Trail' styles are selected.
Bands visually indicate overextension and help frame price context relative to memory.
Alerts
Built-in alert conditions trigger on bullish or bearish trend shifts, useful for automation or notifications.
Info Table
The optional info table displays:
Current trend direction
Band state (calm, hot, or cool)
Price stretch from base
Trend age in bars
Confidence level based on deviation
Memory slope and acceleration
Band width and compression state
Reversion risk based on stretch level
Info Table:
Trade Example:
Logic
Price Memory
A recursive formula updates a memory variable based on the current price.
The memory adjusts only when the price deviates meaningfully from its previous value.
The formula uses a combination of delta-weighting and exponential decay:
> memory := previous_memory + delta × memory_strength
> memory := memory × memory_decay + price × (1 - memory_decay)
This produces a smooth, adaptive base that responds gradually to directional price moves.
Deviation and Bands
Absolute deviation between price and the memory base is calculated and smoothed using an EMA.
The upper and lower bands are then calculated as:
> Upper Band = memory base + (smoothed deviation × band multiplier)
> Lower Band = memory base - (smoothed deviation × band multiplier)
ATR-based extensions can optionally be drawn around these bands for added visual structure.
Trend Logic
Bullish and bearish states are tracked using crossovers and crossunders of price against the upper and lower bands.
The indicator maintains a persistent trend state variable that updates only when a confirmed regime change occurs.
This prevents multiple signals within the same trend direction (non-pyramiding behavior).
Stretch and Band Analysis
Stretch is measured as the deviation of price from memory, normalized by smoothed deviation.
Band width is tracked over time and used to detect compression or expansion.
Band position is calculated to identify where price sits between the upper and lower bands.
Info Table Metrics
Memory Slope and Acceleration: Show first and second derivative of the memory base to capture trend speed and change.
Confidence Level: Based on stretch intensity, indicating trend strength.
Reversion Risk: Inferred from how extended price is beyond the band.
Compression: Evaluated by comparing current band width to its recent average.
Summary
Uptrick: Price Memory Trend provides an alternative framework for trend identification by replacing traditional smoothing with adaptive memory logic. It measures price deviation without reliance on ATR or standard deviation, instead focusing on distance from a reactive baseline. With regime-based trend tracking, customizable visuals, and a detailed status table, it supports both discretionary and system-driven trading styles.
Disclaimer
This script is for informational and educational purposes only. It does not provide financial advice or guarantees. Trading involves risk, and past performance is not indicative of future results. Always perform your own research before making trading decisions.
Volatility Regimes | GainzAlgo📊 OVERVIEW:
=========
This is a comprehensive ATR-based trading system designed for professional
traders who need advanced volatility analysis, precise trade management, and
intelligent market regime detection. The indicator combines multiple proven
volatility concepts into one powerful, customizable tool.
⭐ WHY THIS SYSTEM IS UNIQUE AND WORTHY OF PUBLICATION:
====================================================
This is not simply a collection of ATR-based indicators placed together.
It represents a unified volatility analysis framework where each component
is specifically designed to work in concert with the others, creating a
complete trading workflow that cannot be replicated by using multiple
separate indicators.
🔗 SYNERGISTIC INTEGRATION - How Components Work Together:
🧠 1. CONTEXT-AWARE ANALYSIS
The Volatility Regime Detection acts as the "brain" of the system,
classifying market conditions into 4 distinct phases. Every other
component then adapts its behavior based on this regime classification:
- ATR Bands expand/contract with regime changes
- Stop Loss distances automatically adjust (tighter in compression,
wider in high volatility)
- Take Profit targets scale proportionally to current regime
- Signal sensitivity filters itself based on market phase
📐 2. UNIFIED VOLATILITY FOUNDATION
All calculations share a single ATR baseline calculation, ensuring
internal consistency across the entire system. When ATR changes, every
element updates in perfect synchronization:
- Bands recalculate from the same ATR value
- Risk management levels use the same volatility measurement
- Regime classification and signals reference identical data
🛡️ 3. INTEGRATED RISK MANAGEMENT
The system doesn't just show WHERE to enter - it calculates HOW MUCH
to risk:
- Dynamic Stop Loss adapts to current ATR automatically
- Position Size Calculator uses the dynamic stop to compute exact quantities
- Take Profit levels scale proportionally, maintaining optimal risk:reward
✅ 4. TWO-STAGE SIGNAL CONFIRMATION
The alert system creates a logical progression:
Step 1: Volatility Breakout → Market energy is building
Step 2: Trend Confirmation → Direction confirmed with volatility support
This prevents false breakouts by requiring both volatility AND direction.
🏦 5. PROFESSIONAL WORKFLOW INTEGRATION
The system mirrors how institutional traders analyze markets:
Phase 1: Assess regime → What's the market doing?
Phase 2: Identify setup → Where's the opportunity?
Phase 3: Calculate risk → What's my exposure?
Phase 4: Set targets → Where do I take profit?
Phase 5: Monitor regime → When do conditions change?
❌ WHY NOT USE SEPARATE INDICATORS?
- Separate ATR Bands: Don't know about regime changes, remain static
- Separate Regime Indicator: Doesn't automatically adjust stop/targets
- Separate Position Calculator: Doesn't know your actual ATR-based stop
- Manual Integration: Requires constant mental calculation and cross-referencing
🧮 DETAILED CALCULATION METHODOLOGY:
=================================
📏 ATR (AVERAGE TRUE RANGE) CALCULATION:
- True Range = Maximum of:
1. Current High - Current Low
2. Absolute value of (Current High - Previous Close)
3. Absolute value of (Current Low - Previous Close)
- ATR = Simple Moving Average of True Range over specified period (default: 14)
📊 DYNAMIC ATR BANDS:
- Upper Band = Current Close + (ATR × Band Multiplier)
- Lower Band = Current Close - (ATR × Band Multiplier)
- Band 1: 1.0× ATR (closest support/resistance)
- Band 2: 2.0× ATR (intermediate zone)
- Band 3: 3.0× ATR (extended zone)
🌡️ VOLATILITY REGIME CLASSIFICATION:
Step 1: Calculate ATR Baseline
- Baseline ATR = SMA or EMA of ATR over long period (default: 50 bars)
- This represents "normal" volatility for the instrument
Step 2: Calculate ATR Ratio
- ATR Ratio = Current ATR ÷ Baseline ATR
- Example: If current ATR = 70 and baseline = 50, ratio = 1.40
Step 3: Classify Regime Based on Ratio
- COMPRESSION: Ratio < 0.70 (ATR is 30% below normal)
Market consolidating, volatility contracting, energy building
- EXPANSION: Ratio between 1.15 and 1.40 (ATR is 15-40% above normal)
Volatility breaking out, early phase of directional movement
- HIGH VOLATILITY: Ratio > 1.40 (ATR is 40%+ above normal)
Strong sustained trend with high participation
- EXHAUSTION: ATR declining after high volatility period
Requires: Previous high ratio + declining ATR over X bars (default: 5)
Trend maturity, potential reversal or consolidation approaching
🛑 DYNAMIC STOP LOSS CALCULATION:
- For Long Positions: Stop Loss = Entry Price - (ATR × SL Multiplier)
- For Short Positions: Stop Loss = Entry Price + (ATR × SL Multiplier)
- Default Multiplier: 2.0× ATR
- Adjusts automatically: Wider in high volatility, tighter in compression
🎯 TAKE PROFIT LEVELS:
- TP1 = Entry Price ± (ATR × TP1 Multiplier)
- TP2 = Entry Price ± (ATR × TP2 Multiplier)
- TP3 = Entry Price ± (ATR × TP3 Multiplier)
- Direction (+ or -) depends on trade direction
📦 POSITION SIZE CALCULATION:
Formula: Position Size = Account Risk Amount ÷ Stop Loss Distance
Step-by-step:
1. Risk Amount = Account Size × (Risk Percentage ÷ 100)
2. Stop Distance = |Entry Price - Stop Loss Price|
3. Position Size = Risk Amount ÷ Stop Distance
📈 ATR PERCENTILE RANKING:
- >80% = Extremely high volatility
- 20-80% = Normal volatility range
- <20% = Extremely low volatility
🌀 VOLATILITY CONTRACTION PATTERN:
Detects extended low-volatility periods indicating imminent breakout.
🧭 TREND DETECTION SIGNALS:
Bullish: Price > MA AND Current ATR > ATR MA
Bearish: Price < MA AND Current ATR > ATR MA
⚡ VOLATILITY BREAKOUT SIGNALS:
Triggered when ATR exceeds its moving average by a defined threshold.
🧩 CORE FEATURES:
==============
1. ATR BANDS (Dynamic Support/Resistance)
2. VOLATILITY REGIME DETECTION
3. DYNAMIC STOP LOSS SYSTEM
4. MULTIPLE TAKE PROFIT LEVELS
5. SUPPORT & RESISTANCE LEVELS
6. RISK MANAGEMENT CALCULATOR
7. ATR PERCENTILE RANKING
8. VOLATILITY CONTRACTION PATTERN
9. TREND DETECTION SIGNALS
10. VOLATILITY BREAKOUT SIGNALS
⚙️ RECOMMENDED SETTINGS BY TRADING STYLE:
======================================
DAY TRADING • SWING TRADING • POSITION TRADING • SCALPING
📘 HOW TO USE THIS INDICATOR:
==========================
STEP 1: Identify Market Regime
STEP 2: Wait for Entry Signal
STEP 3: Set Stop Loss
STEP 4: Set Take Profits
STEP 5: Position Sizing
STEP 6: Monitor & Manage
🔔 ALERT SYSTEM:
=============
Alerts for volatility breakouts, trend changes, regime transitions,
ATR band crossings, contraction completion, and percentile extremes.
🎨 CUSTOMIZATION:
==============
All visuals, thresholds, multipliers, colors, alerts, and risk parameters
can be fully customized.
⚠️ IMPORTANT DISCLAIMER:
=====================
This indicator is a volatility analysis tool and does NOT provide financial advice.
Past performance does not guarantee future results.
All trading involves substantial risk.
All trading decisions are the sole responsibility of the user.
Adaptive Gaussian AFR# Adaptive Gaussian AFR (Average Filtering Range)
The **Adaptive Gaussian AFR** is a sophisticated trend-following overlay designed to provide a "cleaner" perspective on market structure. It synthesizes advanced signal processing with volatility-adjusted trailing logic to create a perpetual trend indicator that filters noise while maintaining extreme responsiveness during momentum breakouts.
## How It Works
This indicator combines three distinct mathematical principles to analyze and visualize price action:
### 1. 4-Pole Gaussian Smoothing
Standard moving averages often suffer from a trade-off between smoothness and lag. By employing a **4-pole Gaussian filter**, the indicator applies a bell-curve weighting to price data. This results in a curve that is mathematically smoother than an EMA but reacts more sharply to significant price shocks.
### 2. Adaptive Volatility Scaling
Unlike static indicators, this script utilizes a **Volatility Ratio** (comparing short-term ATR to long-term ATR).
- **Expansion:** When volatility spikes, the Gaussian filter automatically shortens its lookback to "catch" the breakout.
- **Contraction:** When the market consolidates, it lengthens the lookback to prevent "whipsaws" and false signals.
### 3. AFR (Average Filtering Range) Logic
The "step-ladder" behavior is driven by the AFR logic. It calculates volatility-based boundaries (using an ATR factor). The trend line only moves higher if the price exceeds the current floor, and only moves lower if the price breaks the ceiling, creating a "perpetual" support and resistance level.
## Visual Interface & Branding
The script features a high-visibility sentiment map using a custom brand color scheme:
- **Bullish State (Blue - rgb(45, 162, 252)):** Triggered when price is trading above the Adaptive Gaussian mean and the AFR floor.
- **Bearish State (Purple - rgb(113, 59, 249)):** Triggered when price breaks below the mean and the AFR ceiling.
- **Brand Candles:** Price bars are automatically colored to match the trend state for immediate visual confirmation.
## Why This is Unique
Most trend followers are "fixed"—they perform well in trending markets but fail in sideways chop. The uniqueness of the **Adaptive Gaussian AFR** lies in its ability to "breathe." Because the Gaussian engine is adaptive, it attempts to solve the "lag vs. noise" problem by becoming more rigid when the market is indecisive and more fluid when a trend is confirmed.
## Great inventions require great Care
**This is not a standalone trading system.** While the Adaptive Gaussian AFR provides a highly refined view of the trend, it should be used in conjunction with other analysis tools.
- **Lag:** Like all indicators based on historical data, the filter is inherently lagging and cannot predict future price movements.
- **No Standalone Use:** Do not use this as your sole reason for entering or exiting a trade. It is best used as a **Trend Filter** or a **Volatility-Adjusted Entry/Exit Strategy in confluence with other tools**.
- **Context Matters:** It does not account for fundamental news, higher-timeframe resistance, or volume profiles.
Enjoy!
Quantum RCI Fusionrepresents a significant evolution in oscillator-based scalping. Unlike standard indicators that rely on raw price data, this script utilizes a "Quantum Engine": a combination of Rank Correlation Index (RCI) mathematics and Hull Moving Average (HMA) pre-smoothing to eliminate market noise before it even affects the signal.
This tool is designed for Scalpers and Day Traders who need precision entries and, more importantly, an intelligent exit strategy that doesn't close trades prematurely during minor pullbacks.
🚀 Key Features:
⚡ Quantum Engine (Array + Smooth): Built on an optimized array structure with HMA pre-filtering. It detects the true market rank correlation while ignoring choppy price action.
🛡️ Trend Shield Logic: The unique "Shield" feature keeps you in the trade even if the fast signal crosses down, provided the Baseline Trend (RCI 30) remains strong. Captures the full move, not just the breakout.
📊 Live Performance Dashboard: A real-time table tracks your simulated Wins, Losses, and Win Rate % for the current session, giving you instant feedback on market conditions.
🧠 Intelligent Filtering: Combines ADX (trend strength) and Impulse (momentum velocity) to filter out weak setups.
🔔 Rich Alerts: Ready for automation with detailed messages containing Entry Price, TP, and SL levels.
How it Works: It analyzes three distinct time-horizons of price rank (Fast, Confirm, Slow). A signal is generated only when:
Momentum crosses in an extreme zone (Overbought/Oversold).
ADX confirms sufficient volatility.
The price "Impulse" is strong enough to validate the move.
USER MANUAL: How to Trade with Quantum RCI
1. The Setup
Timeframe: Optimized for 1m, 5m, and 15m (Scalping). It works on H1/H4 for Swing trading but requires wider SL settings.
Assets: Highly effective on Crypto (BTC, ETH, SOL) and Volatile Forex Pairs (GBPUSD, XAUUSD).
Source Data: By default, it uses close. Try changing the "Source" in settings to Heikin Ashi closing price for smoother trends.
2. The Strategy (Entry Rules)
The indicator paints Triangles on the chart (Green for Buy, Pink for Sell).
LONG Signal: Occurs when the Fast RCI crosses UP from the Oversold zone (< -80), confirmed by ADX and Momentum.
SHORT Signal: Occurs when the Fast RCI crosses DOWN from the Overbought zone (> 80), confirmed by filters.
3. The Exit Logic (The "Shield")
This is the most important part. The indicator manages exits dynamically:
TP/SL Hits: Based on the ATR multiplier in settings (Standard: 2.0 TP / 1.5 SL).
Tech Exit (X Icon): A standard exit when momentum fades.
Shield Break (Yellow Circle): This is the Trend Follower. If the "Trend Shield" (RCI 30) is active (thick green/red line), the indicator ignores minor crosses. It will only signal an exit when the main trend actually breaks. This allows you to ride waves longer.
4. The Dashboard & Statistics
Status: Shows if a trade is currently simulating LONG, SHORT, or SCANNING.
Win Rate: Shows the % of successful signals since the indicator was loaded.
Reset: Use the "Reset Statistics" toggle in settings to clear data (useful when switching sessions, e.g., from London to New York).
💡 Pro Tip:
If the ADX Filter says "WAIT" on the dashboard, the market is ranging/flat. Avoid taking trades manually, even if you see a crossover, or wait for the ADX to turn "READY".
Volume $ Spike Alert - Mustang AlgoVolume $ Spike Alert - Mustang Algo📊 Overview
Advanced volume analysis indicator that detects significant dollar volume spikes and generates intelligent buy/sell signals. Designed for traders seeking to identify institutional activity and potential market turning points through volume analysis.🎯 Key FeaturesDual Detection Modes
Absolute Threshold: Triggers alerts when volume exceeds fixed billion-dollar thresholds
Ratio vs Average: Detects spikes relative to historical moving average
Combined Mode: Uses both methods for maximum sensitivity
Smart Trading Signals
Auto Mode: Follows trend momentum (high volume + green = buy, red = sell)
Contrarian Mode: Identifies potential reversals (extreme volume = opposite signal)
Manual Modes: Force all signals as buy or sell based on your strategy
Visual Components
Color-coded volume histogram (Normal/Alert/Extreme levels)
Buy/Sell triangle markers on price chart
Moving average overlay for context
Real-time summary table with key metrics
📈 Use Cases
Institutional Activity Detection: Spot when big money enters/exits positions
Breakout Confirmation: Validate price moves with volume support
Reversal Identification: Extreme volume often marks tops/bottoms
Day Trading: Real-time alerts for volume-based entries/exits
⚙️ Customizable Parameters
Alert thresholds (billions $)
Moving average period (5-200)
Ratio multipliers for dynamic detection
Signal type selection
Display options for all visual elements
🔔 Built-in Alerts
Volume spike alerts (standard & extreme)
Buy signal alerts
Sell signal alerts
All alerts include ticker and volume data
💡 Trading Tips
Combine with price action for confirmation
Extreme volume + divergence = potential reversal
Use ratio mode for adaptive thresholds across different market conditions
Monitor the ratio value - above 5x average is significant, 10x+ is extreme
📝 Default Settings
Alert Threshold: $7.5 billion
Extreme Threshold: $9.0 billion
MA Period: 50 days
Alert Ratio: 5x average
Extreme Ratio: 10x average
ORB W/ Custom time FramesRelease Notes: Simplified ORB (Opening Range Breakout)
This indicator is a streamlined, high-performance tool designed to identify the Opening Range—one of the most widely used concepts by professional floor traders and institutional scalpers. It marks the high, low, and midpoint of the initial balance of the market, providing you with a "map" for the rest of the trading session.
Key Features
Customizable Timeframes: Define your opening range window (e.g., the first 5, 15, or 30 minutes) regardless of what timeframe you are currently viewing.
Custom Session Support: Choose between standard market hours (09:30–16:00) or define your own custom window (e.g., the London Open or the first hour of "Power Hour").
Real-Time Midpoint Calculation: Automatically plots the 50% Equilibrium level between the high and low, serving as a pivot point for intraday bias.
Dynamic Updating: During the ORB window, the lines adjust in real-time as new highs or lows are set. Once the window expires, the levels lock in place to act as support and resistance.
Clean Visuals: Utilizes a lightweight line drawing system that is easy on your GPU and keeps the chart clutter-free.
Why This is Essential for Scalping
Scalpers rely on volatility and clear "lines in the sand." The Opening Range Breakout (ORB) provides exactly that:
The "Opening Drive": If price breaks the ORB High with high volume, scalpers look for quick "long" momentum plays. Conversely, a break below the ORB Low signals a bearish trend.
The Midpoint Pivot: The 50% level (Mid) is often treated as the "Fair Value" of the morning. If price is above the mid, the bias is bullish; if below, the bias is bearish.
Stop Loss / Take Profit Anchor: The ORB High and Low act as natural areas for placing stops or targets. A failed breakout that returns inside the range often targets the opposite side of the box.
Multi-Metric Market Regime Detector - [KK]This indicator identifies current market behavioral regimes by synthesizing six complementary analytical methodologies. Rather than generating trading signals, it provides contextual analysis to help traders understand market conditions and adapt their strategies accordingly.
Markets cycle through distinct behavioral states - trending efficiently, consolidating in ranges, compressing before breakouts, or transitioning between states. This tool quantifies these conditions using only price action data (OHLC), enabling traders to filter strategies based on current market structure.
Core Methodology
The indicator combines six independent metrics into a weighted composite classification system:
Efficiency Ratio (30% weight)
Measures the signal-to-noise ratio of price movement by comparing net price displacement to total path traveled. High efficiency indicates clean directional movement; low efficiency indicates choppy, noisy conditions.
Choppiness Index (25% weight)
Quantifies whether the market is trending or consolidating by comparing cumulative True Range to actual price range. Values below 38.2 suggest trending behavior; values above 61.8 suggest range-bound consolidation.
Volatility Analysis (20% weight)
Detects compression and expansion cycles using the relationship between Bollinger Bands and Keltner Channels. Compression phases (squeeze conditions) often precede significant directional moves.
Fractal Efficiency Proxy (10% weight)
Analyzes path complexity by comparing net displacement to cumulative range, providing insight into the smoothness versus randomness of price action.
Market Structure (15% weight)
Examines pivot point sequences to identify structural trends. Higher Highs and Higher Lows indicate bullish structure; Lower Lows and Lower Highs indicate bearish structure.
Wick-to-Body Ratio Analysis (qualitative)
Identifies rejection and indecision patterns by measuring the proportion of candle wicks to bodies, highlighting potential reversal zones or liquidity events.
Regime Classifications
The composite scoring system produces four distinct regime states:
TRENDING : High efficiency, low choppiness, clear directional structure. Favorable conditions for momentum and trend-following strategies.
CHOPPY/RANGE : Low efficiency, high choppiness, mean-reverting behavior. Favorable conditions for range trading and counter-trend setups.
COMPRESSION : Volatility squeeze detected, market coiling. Anticipate expansion; reduce position size until breakout confirmation.
TRANSITION : Mixed signals, conflicting metrics, unclear direction. Recommended to reduce exposure and wait for regime clarity.
Visual Features
Regime-Colored Candles (enabled by default)
Candles are colored according to the current regime state for immediate visual identification. Green indicates trending, gray indicates choppy, orange indicates compression, and yellow indicates transition.
Comprehensive Metrics Table (top right)
Displays real-time values for all six metrics along with individual regime assessments and the final composite classification with score.
Regime Guide Table (middle right)
Quick reference guide showing recommended strategies and actions to avoid for each regime state.
Chart Label ( optional)
Summary label displaying current regime and key metric values.
Background Coloring (optional)
Alternative visualization using background colors instead of candle coloring.
Indicator Plots (optional)
Displays Efficiency Ratio and Choppiness Index with threshold reference lines.
Customization Options
All calculation parameters are adjustable:
- Efficiency Ratio lookback period and thresholds
- Choppiness Index length and classification thresholds
- Volatility analysis parameters (BB/KC multipliers and lengths)
- Pivot detection sensitivity (left/right bars)
- Text size controls for both tables (Tiny to Huge)
- Visual element toggles (candles, background, label, tables, plots)
The indicator automatically detects chart theme (dark/light) and adjusts text colors for optimal readability.
Practical Application
This is a context tool, not a signal generator. Use it to:
- Filter trend-following strategies to trending regimes only
- Identify range-bound conditions for mean-reversion setups
- Anticipate breakout opportunities during compression phases
- Reduce exposure during transitional periods with mixed signals
- Improve risk management by matching position size to regime clarity
The indicator works on all timeframes and instruments using only OHLC data. Higher timeframes generally provide more stable regime classifications.
Alert Conditions
Four alert types are available:
- Efficiency Ratio crosses trend threshold
- Choppiness Index enters range territory
- Volatility squeeze released
- Regime state change detected
Technical Notes
Built with Pine Script v5. Uses up to 500 bars of historical data for stable calculations. All metrics are calculated in real-time with no repainting on confirmed pivots. Compatible with all chart themes through adaptive text coloring.
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or trading recommendations. Past performance and theoretical analysis do not guarantee future results. Always conduct independent research and implement appropriate risk management. Trading financial instruments involves substantial risk of loss.
Usage Philosophy
The goal is not to trade more frequently, but to think more clearly about market conditions. Use this tool to develop deeper intuition about market structure and to enforce discipline by avoiding low-probability setups during unfavorable regime conditions.
RAPF Plus - Forecast Cones - Payoff Greeks - Calibration HarnessRAPF+ Manual (v2.2 — “variable ↔ chart label” clarified)
RAPF+ — Forecast Cones + Payoff Greeks + Calibration Harness
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0) What this indicator is
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RAPF+ is a forecast-and-score system: it predicts a future price range, then later
checks whether that prediction was accurate — and only generates signals whenthe
conditions are trustworthy.
Core idea (the “lightbulb moment”):
You’re not trading a static band. You’re trading “today’s range that was predicted
h bars ago.”
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1) Mental Model (Non-Quant Friendly)
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Weather Forecast Analogy
- Bollinger Bands are like looking out the window to see if it’s raining now.
- RAPF+ is like checking the forecast made 3 days ago for today, then grading it.
Interpretation:
- If the forecast said “normal range” and the price stays inside the cone:
→ forecast held → “hold/trend environment”
- If price breaks outside the cone:
→ forecast failed → “breakout shock” or “overextension” (depends on mode)
Why this matters:
RAPF+ is about whether the *old forecast* was correct, not just where the price is now.
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2) What You See on the Chart (and what the internal variables are called)
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Important: Variable names like aUp/aDn/aMid are INTERNAL to the code.
On the chart and in the Data Window, you’ll see them by their PLOT NAMES.
How to read exact values:
- Hover a candle → open TradingView “Data Window” → find this indicator → read plot values.
- Or hover the plotted line to see its value.
- Or enable “Indicators Values” on the right scale to see last values.
A) Forecast Cones (future projections)
These are projected to the right of current candles (offset by H1/H2/H3).
Code variables (forecast for each horizon):
- mid1 / up1 / dn1 = forecast median/upper/lower at Horizon H1 (projected right)
- mid2 / up2 / dn2 = forecast median/upper/lower at Horizon H2 (projected right)
- mid3 / up3 / dn3 = forecast median/upper/lower at Horizon H3 (projected right)
Chart plot names (what users will see):
- “P50 H1”, “Upper H1”, “Lower H1”
- “P50 H2”, “Upper H2”, “Lower H2”
- “P50 H3”, “Upper H3”, “Lower H3”
Use forecast cones for planning (expectations, targets), NOT direct signal triggers.
B) Density Fan (optional)
Layered confidence bands (50–95%) for a selected horizon.
Code variables:
- upDen50/dnDen50 … upDen95/dnDen95 (selected density horizon)
Chart plot names:
- “Den Up 50”, “Den Dn 50”, … “Den Up 95”, “Den Dn 95” (usually hidden; fills visible)
C) Applied Cone (the tradeable one)
This is the cone that actively interacts with the CURRENT candle.
The Applied Cone is a “prediction made h bars ago, applied to today.”
It uses “old” cone values (shifted buffers) and then selects one horizon.
Internal variables (used by signals):
- aMid = applied median line for the selected Signal Horizon (H1/H2/H3)
- aUp = applied upper bound for the selected Signal Horizon
- aDn = applied lower bound for the selected Signal Horizon
Chart plot names (what users will see):
- aMid → “Applied Mid”
- aUp → “Applied Up”
- aDn → “Applied Dn”
Trading cue:
- Signals are generated by price crossing the Applied Cone (aUp/aDn),
meaning price broke outside the range that was predicted h bars ago for today.
Visual cue (important):
- Applied Cone = the one interacting with current candles (now).
- Forecast Cones = projected to the right into the future.
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3) The Stats Table (How to Trust It)
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The table grades the model across H1/H2/H3:
Coverage (most important)
- “How often did realized price land inside the predicted cone?”
- Target ≈ conf (e.g., 80%)
Interpretation:
- Coverage below target: cones too tight OR regime changed
- Coverage above target: cones conservative (wider than needed)
Dir Acc (Direction Accuracy)
- “How often was the direction of the forecast correct?”
- Compares sign(forecast mid - old spot) vs sign(realized move)
MAE (Mean Absolute Error)
- Average miss from the predicted midline (lower is better)
Avg Width
- Average cone width (how “expensive” the forecast is in range terms)
Warm-up note (important)
- Stats use warmupBars (default 50) to avoid early-history spikes.
- If you see dashes/empty values on load, wait for more bars to load/scroll back.
Horizon selection tip
Pick the horizon that best balances:
- Coverage near/above target
- Dir Acc acceptable
- MAE low
- Width reasonable
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4) The Risk Gate (When Signals Matter)
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RAPF+ has an explicit “stand down” filter.
Signals are considered valid only when okRisk = YES, based on:
- Trust ≥ Min Trust
- RegimeRisk ≤ Max RegimeRisk
- Coverage(selected horizon) ≥ Min Coverage
- Enough bars have elapsed for that horizon
HUD labels (what users see) vs code variables:
- “RegimeRisk” in HUD = regimeRisk in code
- “Trust” in HUD = trustTrend in code
- “μ(bar)” in HUD = muBar in code
- “σ(bar)” in HUD = sigmaBar in code
- “okRisk YES/no” = okRisk boolean in code
If okRisk = NO:
DEFAULT ACTION = HOLD / reduce risk / stay flat
This is “no signal.” It is a “low-quality environment.”
What RegimeRisk/Trust mean (simple)
- RegimeRisk rises when volatility is high and/or unstable.
- Trust = 1 − RegimeRisk
- Drift (μ) is damped when Trust is low.
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5) Buy / Sell / Hold Playbooks
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All rules below assume okRisk = YES.
A) Breakout Mode (continuation/trend)
Signal logic:
- BUY/LONG when price crosses above Applied Upper:
• internal: close crosses above aUp
• chart: close crosses above “Applied Up”
- SELL/SHORT when price crosses below Applied Lower:
• internal: close crosses below aDn
• chart: close crosses below “Applied Dn”
Drift direction filter (recommended ON):
- Longs require μ > 0 (muBar > 0)
- Shorts require μ < 0 (muBar < 0)
Management / Hold:
- Long bias while price is above aMid (“Applied Mid”)
- Short bias while price is below aMid (“Applied Mid”)
Exit ideas (choose your style):
- Conservative: exit if price re-enters inside the cone (failed breakout)
- Balanced: exit on cross back through aMid
- Hard stop: exit on cross opposite band
Best conditions for Breakout:
- Coverage at/above target
- Dir Acc decent
- Trust healthy (RegimeRisk contained)
B) Fade Mode (mean reversion/overextension)
Signal logic (opposite philosophy):
- SHORT when price breaks above aUp (“Applied Up”)
- LONG when price breaks below aDn (“Applied Dn”)
Profit logic:
- aMid (“Applied Mid”) is the “magnet” / mean reversion target
- Many traders scale out toward aMid
Re-entry circles (what they mean):
- When the price was outside, then it crossed back INSIDE the Applied Cone.
- In code: reenterFromAbove / reenterFromBelow
- On the chart: small yellow circles near the candle
Use as confirmation that the “shock” is fading and/or as take-profit prompts.
Best conditions for Fade:
- Dir Acc mediocre/low (choppy drift)
- Coverage struggling vs target (more violations)
- RegimeRisk higher (but still within your maxRisk gate)
C) Auto (Cal Error) Mode (adaptive behavior)
If Signal Mode = Auto (Cal Error):
- If realized coverage ≥ target → uses Breakout
- If realized coverage < target → uses Fade
Plain English:
“If my cones are behaving well, ride continuation.
If they’re failing, mean-revert the brakes.”
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6) What HOLD Means (3 distinct cases)
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Hold Type 1: No-trade hold (risk gate fails)
- If Trust too low OR RegimeRisk too high OR Coverage too low:
→ HOLD / reduce risk / stand down
Hold Type 2: Inside-cone hold (normal noise)
- Inside the Applied Cone is often “business as usual.”
- Breakout traders: wait, avoid impulsive adds
- Fade traders: take profit / don’t overstay
Hold Type 3: Midline bias hold
- aMid (“Applied Mid”) acts like “forecast fair value”
- Above aMid: bullish bias
- Below aMid: bearish bias
- Frequent flips around aMid: chop → prefer Fade or no-trade
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7) Setup Checklist (Practical Defaults)
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Step 0 — Select Your Timeframe (avoid noise first)
- Daily (1D): Recommended for most crypto assets.
Best balance of signal stability + trend capture.
- Weekly (1W): Use for macro trend bias (Drift check).
Great for direction context, but signals are slower/fewer.
- Intraday (1H/4H): Advanced users only.
Noisier; typically requires:
• Higher confidence (e.g., 0.90+)
• Stricter risk gates (higher Min Trust, higher Min Coverage, lower Max RegimeRisk)
• Patience with calibration stability
Step 1 — Pick Signal Horizon
- H1: quick swing
- H2: typical swing
- H3: position-style
Step 2 — Calibrate Coverage (don’t guess)
- Coverage below target → increase Cone Width Multiplier
- Coverage above target → decrease Cone Width Multiplier
- Optional: enable Auto-calibrate Cone Width (servo toward conf + margin)
Important: Use Cone Width Multiplier for coverage tuning (that’s what it’s for).
Avoid “fixing” coverage by changing cycle settings.
Step 3 — Set risk gates (reasonable baseline)
- Min Trust ≈ 0.45
- Max RegimeRisk ≈ 0.70
- Min Coverage ≈ 0.55+ (raise for fewer, higher-quality trades)
Step 4 — Keep Drift Filter ON (recommended)
Prevents trading against μ (drift direction).
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8) Optional: Payoff + Greeks (Advanced Layer)
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(Note: The Greeks engine is disabled by default to save performance.
You must enable it in indicator settings to see these metrics.)
If enabled, RAPF+ estimates the expected payoff for Straddle/Call/Put under the model
distribution (with optional fat-tail mixture) plus Δ / Γ / ν / Θ.
Use cases:
- Assess convexity vs mean reversion preference
- Spot/vol sensitivity awareness
- Horizon comparisons for “optionality-like” behavior
If you’re a spot-only trader, you can ignore this section.
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9) One-Page Rules Card
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PRE-CHECK
- Choose timeframe (prefer 1D for most crypto)
- Choose signal horizon (H1/H2/H3)
- Prefer horizon with good Coverage and acceptable Dir Acc
- Trade only if okRisk = YES
BREAKOUT MODE
- Buy on cross above “Applied Up” (aUp) (μ>0 if drift filter ON)
- Sell/short on cross below “Applied Dn” (aDn) (μ<0 if drift filter ON)
- Hold while aligned with “Applied Mid” (aMid)
- Exit on re-entry / aMid cross / opposite band (your style)
FADE MODE
- Short on break above “Applied Up” (aUp)
- Long on break below “Applied Dn” (aDn)
- Target “Applied Mid” (aMid) as the mean reversion magnet
- Re-entry circles confirm the “shock fade”
STAND DOWN
- If okRisk = NO → HOLD / reduce risk / no-trade
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Quick Glossary
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H1/H2/H3: Forecast horizons in bars
conf: Desired coverage probability (e.g., 0.80)
Coverage: % of times realized price stayed inside the cone
Dir Acc: % of times direction was correct
MAE: Avg error vs forecast midline
Width: Avg cone width (upper-lower)/spot
RegimeRisk: Combined “vol high/unstable” score
Trust: 1 − RegimeRisk (how much to trust drift)
μ(bar): Estimated per-bar drift (directional bias)
σ(bar): Estimated per-bar volatility
Applied Cone (present, tradeable):
- aMid / aUp / aDn are internal variables
- On the chart/Data Window, they appear as:
aMid = “Applied Mid”
aUp = “Applied Up”
aDn = “Applied Dn”
Forecast Cones (future projections):
- mid1/up1/dn1 (H1), mid2/up2/dn2 (H2), mid3/up3/dn3 (H3)
- On the chart, they appear as:
“P50 H1/Upper H1/Lower H1”, etc.
777 expected Movehell yeaaaaaaaaaaaah, we back at it again yfm, some bs right here, will NOT tap ever!!!!!!
ilker %90This strategy is a short-term momentum approach based on moving averages and volume. Studies show it performs more effectively on the 1-hour and 4-hour timeframes. Take-profit and stop-loss distances are kept short, resulting in a high win rate, while the profit factor ranges between 1.4 and 2.
Supertrend BUY Only - Optimized for Gold M15 TimeframeOverview
The Supertrend BUY Only - Production Optimized is a high-performance trend-following indicator specifically tuned for XAUUSD (Gold) on the 15-minute timeframe. Unlike standard Supertrend scripts, this version focuses exclusively on bullish cycles to align with long-term upward bias and uses parameters discovered through deep data analysis of over 20,000 bars of historical market data.
Key Features
Data-Optimized Parameters: Defaults are set to ATR Period 7 and Multiplier 2.1, which backtesting has shown to provide a superior balance between sensitivity and noise reduction for Gold.
Production-Ready Alerts: Includes built-in alertcondition triggers for both BUY (Trend Flip) and STOP BUY (Trend Exit), complete with dynamic messages that include price and interval.
Trailing Support Band: Uses a trailing logic that locks in support levels during upward moves, preventing the band from dropping until the trend officially reverses.
Clean Visuals: Focuses on chart clarity by only plotting the support line during active uptrends and utilizing clean shape labels for entries and exits.
How to Use
Entry (BUY): When the Supertrend line flips from Red to Green and a "BUY" label appears. This indicates bullish momentum has overcome recent volatility.
Exit (STOP BUY): When the price closes below the Green support line. The indicator will plot a red "X" and clear the green background.
Setting Alerts: * Click the Alerts icon in TradingView.
Select this indicator under "Condition."
Choose "BUY Signal" for entries and "STOP BUY / EXIT" for managing your trade or taking profit.
Technical Details
The script allows users to toggle between the TradingView (RMA) ATR calculation and the Standard (SMA) method. For production and live trading, the RMA method is recommended as it provides a smoother response to volatility spikes common in the Gold market.
VIXO - VIX Oscillator// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © emreiletrade
//@version=6
indicator(title="VIXO - VIX Oscillator", shorttitle="VIXO", overlay=false)
// === Inputs ===
rsiLen = input.int(defval=14, title="RSI Length", minval=11, maxval=55)
momLen = input.int(defval=11, title="Momentum Length", minval=9, maxval=21)
normLookback = input.int(defval=100, title="Momentum Normalization Lookback", minval=20, maxval=200)
// === Data (OHLC needed) ===
=
request.security("TVC:VIX", timeframe.period, )
// === RSI Oscillator ===
vixRsi = ta.sma(ta.rsi(vixClose, rsiLen), 5)
// === Momentum (ROC) ===
vixMom = ta.roc(vixClose, momLen)
// === Momentum Normalization (0–100, 50 neutral) ===
momMin = ta.lowest(vixMom, normLookback)
momMax = ta.highest(vixMom, normLookback)
vixMomNorm = ta.sma(100 * (vixMom - momMin) / math.max(momMax - momMin, 1e-6), 3)
// === Helpers ===
vixMa = ta.sma(vixClose, 21)
ratio = vixMa != 0.0 ? (vixClose / vixMa) : 0.0
clampedRatio = math.min(math.max(ratio, 0.0), 1.6)
dynamicTransparency = 100.0 - (clampedRatio * 40.0)
dynamicTransparency := math.min(math.max(dynamicTransparency, 0.0), 100.0)
dynamicTransparency := vixHigh < 30 ? 100 : dynamicTransparency
// === Colors ===
color baseColor = close > close ? color.new(#00FF00, 0)
: close < close ? color.new(#FF0080, 0) : color.gray
color vixBarColor = color.new(baseColor, dynamicTransparency)
color pointColor = color.new(baseColor, dynamicTransparency)
// === Levels ===
hline(80, "Panic of Market", color=color.rgb(0, 255, 0, 40))
hline(60, "VIX says BUY", color=color.rgb(0, 255, 0, 70))
hline(50, "Neutral / Momentum Mid", color=color.new(color.gray, 50))
hline(40, "Get Ready", color=color.new(color.gray, 60))
// === Plots ===
plot(vixRsi, title="VIX RSI", color=color.rgb(0, 255, 255), linewidth=2)
plot(vixMomNorm, title="VIX Normalized Momentum", color=color.new(color.gray, 50), linewidth=1)
plot(vixHigh > 50 ? vixHigh : na, title = "High Points", style = plot.style_cross, color = color.new(pointColor,0))
plot(vixHigh, title="VIX Value Bars", style=plot.style_histogram, color=vixBarColor, linewidth=1)
Advanced Footprint Analysis1. ABSORPTION = BEST ENTRY SIGNALS
When BTC hits support and shows bullish absorption:
You know big money is buying
Price won't fall further (supply absorbed)
Risk/reward is optimal (tight stop below absorption)
Win rate on these setups is 70-80%
2. EXHAUSTION = REVERSAL TIMING
Catches exact moment selling/buying pressure is exhausted
No more guessing "is the dip over?"
Volume confirms the reversal
3. IMBALANCES = CONTINUATION TRADES
Stacked imbalances show trend strength
Enter pullbacks in strong trends
Avoid counter-trend trades when imbalance is strong
4. DELTA DIVERGENCE = EARLY WARNING
Cumulative delta rising but price flat = accumulation (buy setup)
Cumulative delta falling but price rising = distribution (sell setup)
This divergence appears BEFORE price moves
5. FILTERS OUT NOISE
Crypto has tons of fake volume and wash trading
By requiring volume to be significantly above average (2x, 3x), you ignore the noise
Only trade when institutions are active
6. WORKS ON ALL CRYPTO PAIRS
BTC, ETH, SOL - same patterns
Especially powerful on perpetual futures (more volume data)
PRACTICAL 5M CRYPTO ALGO STRATEGY:
LONG ENTRY:
Wait for bullish absorption OR bullish exhaustion
Confirm with positive stacked imbalances (3 bars)
Enter when price breaks above absorption high
Stop below absorption low
Target: 2-3x risk or next resistance
SHORT ENTRY:
Wait for bearish absorption OR bearish exhaustion
Confirm with negative stacked imbalances
Enter when price breaks below absorption low
Stop above absorption high
Target: 2-3x risk or next support
FILTER:
Only trade in direction of cumulative delta trend
Avoid when volume is below average (no institutional activity)
Sentiment Hunter - Crypto TradeSentiment Hunter - Crypto Trade is a high-precision institutional tool. It triggers trades only when 6 strict conditions align: EMA 8/80 crossover, RSI momentum (65/35), directional RSI flow, ATR volatility increase, Volume/OI surge, and Long/Short Ratio sentiment filtering. Built for Binance Perpetual markets via Webhook.
BB + RSI Div + Volume + VWAP (4H Perp Short Alert) - SafeThis Indicator use Bollinger Band + RSI Div + Volumne + VWAP for shorting Mid and Small Cap token in 4H timeframe
Ali Bin Yahya @pa_4cA simple and clean indicator that combines an Exponential Moving Average (EMA) with a Session-based VWAP that resets daily. It helps traders identify the overall trend and the fair price level during the current trading session.
Ideal for intraday trading, trend confirmation, and spotting dynamic support and resistance levels.
Adaptive Regime Z-Score (ARZ)Adaptive Regime Z-Score (ARZ) — Description
Adaptive Regime Z-Score (ARZ) is a regime-weighted, volatility-normalized price deviation histogram.
It measures the distance between price and a slow EMA (market center), normalized by ATR, and amplifies this deviation only when a directional trend regime is confirmed.
The output is displayed as a signed histogram, capped between -100 and +100, with directional regime awareness (bullish or bearish trends).
🔍 What ARZ measures
Normalized price deviation
Distance of price from the EMA center, expressed in ATR units and scaled to a fixed range.
Directional trend regime detection
A trend regime is confirmed only when all three conditions align:
EMA slope has a clear direction
Price is sufficiently far from the EMA (ATR-based distance)
ADX is above its threshold
Regime-weighted deviation
When a trend regime is active, the deviation is scaled by a trend-strength score
When no trend is detected, the output collapses toward zero
📊 How to read the histogram
Green bars → confirmed bullish trend regime
(price extended above EMA, positive deviation)
Red bars → confirmed bearish trend regime
(price extended below EMA, negative deviation)
Near-zero values → no confirmed trend regime
(range / transition state, not highlighted)
There is no separate “ranging” histogram:
absence of bars (or minimal values) implicitly represents non-trending conditions.
🎨 Visual elements
Histogram
Green = bullish trend regime
Red = bearish trend regime
Intensity reflects trend strength × extension
Highlighted only when a directional trend regime is active
Neutral otherwise
Upper / Lower Visual Levels
Reference levels only
Repent Deviationsalot of levels, use at own risk, ict method, idk wth to type here just use ts and delete it instantly
MAs + Bollinger Bands by @ETERNYWORLDMAs + Bollinger Bands by @ETERNYWORLD is the core trend and volatility layer inside the Trend Mastery Pro ecosystem, engineered by EternityWorld to deliver a clean, structured, and highly customizable market bias reading directly on the chart.
What’s Inside the Indicator
5 independent Moving Averages (EMA or SMA) with individual enable/disable toggles, lengths, colors, and widths.
Bollinger Bands with professional basis options: SMA, EMA, RMA/SMMA, WMA, VWMA, plus adjustable deviation multiplier and visual band fill.
Chart overlay compatibility, making trend and volatility easy to interpret for fast decisions.
Fully configurable alerts, enabling traders to stay proactive without missing high-probability expansion triggers.
Enhanced by Trend Mastery Pro Workflow
This indicator complements the 3-step methodology of Trend Mastery Pro:
Bias → defines the dominant trend direction.
Trigger → identifies breakout or momentum expansion zones using confluence with volatility.
Management → supports consistent risk execution when combined with external strategy rules and trade plans.
Key Strengths
✔ Unified trend + volatility envelope on chart
✔ Individual component control (no clutter, no guesswork)
✔ Noise reduction in consolidation environments
✔ Adaptable to crypto, forex, indices, commodities, and equities
✔ Reliable for intraday impulse plays and structured directional setups
How to Use It
Context: Align your analysis with the broader bias before execution.
Signal: Watch for volatility expansion and trend alignment for breakout scenarios.
Execution: Apply your risk plan (position size, partials, BE/trailing) based on your trading model.
Best Practices
🛡️ Tune sensitivity according to asset volatility and timeframe horizon
🛡️ Avoid trading against dominant bias during compression phases
🛡️ Always validate through backtesting and forward testing before scaling
🛡️ Log performance and refine parameters iteratively
Who It's For
Traders who want:
A repeatable and disciplined process
A professional visual structure
Less noise, more clarity, better bias alignment
A premium indicator suite that supports real decision-making
Compatibility
Seamlessly works with any asset and timeframe on TradingView supporting chart overlay indicators. Alerts are designed to help monitoring without being glued to the screen.
Disclaimer ⚠️
This product is not financial advice and does not guarantee results. Performance varies depending on market conditions, asset behavior, user configuration, and applied risk management. Always trade responsibly and follow your own risk plan.
Valenson Momentum IndicatorThis indicator primarily consists of all the confluences used for momentum swing breakout strategy.
ATR Trimmed Daily Volatility Context Open-Close AnchoredPurpose
This indicator provides daily volatility context using a trimmed Average True Range ATR. It helps you assess whether todays movement is compressed, normal, or expanded — without predicting direction.
Key idea
Price movement is meaningful only relative to typical volatility. ATR describes what is normal for the instrument; it does not forecast highs-lows.
How it works
ATR Trim is calculated from the last N completed daily candles (default 5).
The script optionally removes extreme daily ranges (Trim used) to reduce distortion from abnormal spikes.
Bands are projected from a selectable Anchor:
Open (todays daily open) — intraday session context
Close (previous days close) — swing-multi-day context
ADR%, LoD Price, RS RatingGet the Values of ADR%, LoD Price, RS Rating on Daily Charts.
For RS Ratings, Benchmark Symbol and look back period need to be adjusted manually as per your requirement.






















