Quantum Flow [JOAT]Quantum Flow Nexus - Advanced Multi-Dimensional Flow Analysis
Overview
Quantum Flow Nexus is an open-source overlay indicator that combines custom EMA-based flow calculations with order flow analysis, multi-timeframe correlation, and liquidity zone detection. It provides traders with a structured framework for analyzing market momentum and identifying potential entry points based on multiple confirming factors.
What This Indicator Does
The indicator calculates several analytical components:
Quantum Flow Oscillator - A custom oscillator built from multiple EMA layers at different depths
Flow Momentum - Rate of change of the flow oscillator
Order Flow Delta - Buy vs sell volume pressure estimation
Smart Money Index - Volume-weighted directional bias metric
Multi-Timeframe Entanglement - Price correlation across 15m and 60m timeframes
Liquidity Zones - Historical swing high/low levels with volume significance
Wave Function State - Momentum-based decisiveness detection
How It Works
The core quantum oscillator uses a custom EMA calculation with depth layering:
quantumOscillator(series float src, simple int len, simple int depth) =>
float osc = 0.0
for i = 1 to depth
int fastLen = len / i
int slowLen = len * i
float emaFast = quantumEMA(src, fastLen)
float emaSlow = quantumEMA(src, slowLen)
osc += (emaFast - emaSlow) / depth
osc
This creates a multi-layered view of momentum by comparing EMAs at progressively different speeds.
Signal Generation
Basic signals occur when:
Bullish: Flow crosses above lower band + positive momentum + positive order flow delta
Bearish: Flow crosses below upper band + negative momentum + negative order flow delta
Strong signals require additional confirmation:
Smart Money Index above/below threshold (50/-50)
Entanglement score above 50%
Wave function in collapsed state (decisive momentum)
Confluence Score Calculation
The indicator combines multiple factors into a single confluence percentage:
float confluenceScore = (flowStrength * 20 + entanglementScore * 0.3 + math.abs(orderFlowDelta) * 0.5) / 3
Dashboard Panel (Top-Right)
Flow Strength - Distance from center line normalized by standard deviation
Momentum - Current rate of change of flow
Trend - BULLISH/BEARISH/NEUTRAL based on flow vs EMA
Confluence Score - Combined factor percentage
Order Flow Delta - Buy/sell pressure percentage
Entanglement - Multi-timeframe correlation score
Wave State - COLLAPSED or SUPERPOSITION
Signal - Current actionable status
Visual Elements
Flow Lines - Center flow line with upper/lower bands
Quantum Zones - Filled areas between bands showing bullish/bearish zones
3D Quantum Field - Five oscillating layers creating depth visualization
Order Flow Blocks - Boxes highlighting significant order flow imbalances
Liquidity Heatmap - Dashed lines at significant historical levels
Signal Markers - Triangles for basic signals, labels for strong signals
Input Parameters
Flow Period (default: 21) - Base period for flow calculations
Quantum Depth (default: 3) - Number of EMA layers
Sensitivity (default: 1.5) - Band width multiplier
Liquidity Max Levels (default: 8) - Maximum liquidity zones displayed
Liquidity Min Strength Ratio (default: 0.10) - Minimum volume significance
Suggested Use Cases
Identify momentum direction using flow oscillator position
Confirm entries with order flow and smart money readings
Use liquidity zones as potential support/resistance areas
Wait for strong signals with multiple factor confirmation
Timeframe Recommendations
Effective on 15m to Daily charts. Lower timeframes may produce more signals with higher noise levels.
Limitations
Order flow is estimated from candle structure, not actual order book data
Multi-timeframe requests add processing time
Liquidity zones are based on historical pivots and may not reflect current market structure
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Трендовый анализ
Gamma Adaptive Regime Engine - CoreGamma Adaptive Regime Engine – Core
The Gamma Adaptive Regime Engine (GARO) is a visualization tool designed to help identify how market conditions are currently behaving — whether price is moving directionally or fluctuating within a range. Many indicators apply the same logic in all environments; GARO instead focuses on displaying the surrounding context so users can better understand what type of environment they are looking at.
Why the Source Is Protected
This script uses Protected Source to prevent accidental edits and keep calculations consistent across all users. The study combines several technical concepts — adaptive moving averages, volatility filters, and context-based visuals — inside one framework. Protection is used strictly for stability and maintenance, not as a claim of performance.
How to Use: Visual Overview
GARO highlights the chart with colors and overlays to help illustrate the current environment. These visuals are intended as context only and should always be combined with independent analysis.
1) Market Regimes
Expansion (Green background / bands)
Represents conditions where price movement appears more directional and trends can develop.
Contraction (Blue background / bands)
Represents conditions where price behavior is more range-like, often moving back and forth within boundaries.
Spike (Red background)
Represents periods of elevated volatility where price behavior can become fast and irregular.
These categories describe conditions — they are not trade instructions.
2) Visual Elements
Orange Dots (Range Anchor)
Displayed primarily during Contraction.
They represent a smoothed “fair-value” anchor that price frequently fluctuates around in sideways environments.
Green / Fuchsia Line (Expansion Core)
A smoothed directional line showing the current bias during Expansion phases.
Green indicates upward bias; Fuchsia indicates downward bias.
Cloud Bands (Shaded Areas)
Adaptive volatility boundaries.
In range-type conditions, touches near the edges may indicate stretched behavior.
During directional movement, they may function visually like trailing boundaries.
Yellow Dashed Line (Zero Gamma Proxy)
A calculated reference level that sometimes aligns with areas where price pauses, consolidates, or rotates.
It is intended purely as a contextual reference.
Table (Top-Right)
The table summarizes what the engine is currently reading:
Regime Status — Expansion, Contraction, or Spike
Context Label — Examples include:
Trend Context
Mean-Reversion Context
Range — Trend Bias Intact
These labels describe the environment only and do not generate signals.
Educational Disclaimer
This script is for visualization and educational purposes only.
It does not provide trading signals, guarantees, or advice. All decisions should be based on independent analysis, personal judgment, and appropriate risk management.
SAR Volume ScalperSAR Volume Scalper is a minimalist intraday scalping indicator designed for 1–2 minute charts, optimized for high-liquidity markets such as NASDAQ (NQ) and Gold (GC).
The indicator combines Parabolic SAR price crossings with a neutral volume participation filter (Volume ≥ EMA(Volume)), ensuring that signals appear only when the market is active, without relying on rare or aggressive volume spikes.
🔑 Core Logic
Parabolic SAR identifies precise micro-trend shifts
Trend EMA filters directional bias and reduces counter-trend trades
Neutral volume filter confirms market participation while preserving signal frequency
ATR-based targets adapt automatically to current volatility
🎯 Designed For
High-frequency scalping on 1–2 minute timeframes
Manual trade execution during active market sessions
Traders who prefer price and flow confirmation over heavy indicator stacking
⚠️ Disclaimer
This indicator is a decision-support tool and should not be used as standalone trading advice.
It is not intended for fully automated trading.
Support and Resistence -> Reversal (Top/Bottom) SignalingThis script determines local support and resistance levels and signals when the level has been broken.
Stratgy : Support and Resistance by Vhatkar 1.0This script identifies dynamic support and resistance levels based on volume and price action analysis. It uses a unique algorithm that combines volume force calculations with pivot points to determine key levels where price is likely to react.
Originality and Usefulness:
Innovative Volume Force Calculation: The script calculates upforce and downforce based on volume and price movement, providing a novel insight into buying and selling pressure. Unlike traditional volume indicators, this approach offers a more nuanced understanding of market dynamics.
Dynamic Pivot Points: Pivot points are dynamically adjusted based on volume force and highest high calculations, unlike conventional static pivot points. This makes the levels more responsive to real-time market conditions, offering traders a competitive edge.
Adaptive Target Levels: The script sets target and stop prices for both long and short positions, with adjustable percentages based on the chosen timeframe. This feature is particularly useful for day traders looking for precise entry and exit points.
Unique Timeframe Adjustments: The script includes specific adjustments for different timeframes (e.g., 15m, 30m, 60m), optimizing the support and resistance levels for day trading strategies. This adaptability is not commonly found in existing open-source scripts.
Volume-Weighted Adjustments: The integration of VWAP (Volume-Weighted Average Price) into the volume force calculation adds an extra layer of accuracy, helping traders make more informed decisions.
Comprehensive Visual Representation: The script offers clear visual plots of entry, target, and stop levels, along with color-coded fill areas that indicate different target zones. This visual clarity enhances user experience and decision-making.
Unique Features Compared to Open-Source Scripts:
Advanced Volume Force Algorithm: While many open-source scripts rely solely on price action or basic volume indicators, this script integrates a sophisticated volume force algorithm. This unique approach allows traders to identify more accurate support and resistance levels based on real market activity.
Dynamic and Adaptive Pivot Points: Unlike traditional open-source scripts that use static pivot points, this script dynamically adjusts pivot points based on the highest high and volume force. This dynamic adjustment provides a more precise and adaptable analysis suitable for various market conditions.
Integrated VWAP Calculation: Incorporating VWAP into volume force calculations adds an extra dimension of accuracy, allowing for more reliable trading signals. This feature differentiates the script from simpler open-source alternatives that may not include such advanced calculations.
How to Use:
Apply the Script: Add the "Vhatkar Dynamic S/R Levels" script to your chart. Make sure your chart has volume data as the script relies on volume calculations.
Select Timeframe: The script is designed for day trading timeframes such as 5m, 15m, and 30m. Ensure you are using one of these timeframes for optimal performance.
Adjust Parameters:
Target Lines: Set the number of target lines using the SLRange input. Increase the count if fewer lines are visible or decrease if too many lines are cluttering the chart.
Interpreting Signals:
Long Entries: When the close price is above the pivot point, the script plots potential long entry points and target levels (TP1, TP2, TP3) as well as a stop-loss level.
Short Entries: When the close price is below the pivot point, the script plots potential short entry points and target levels (TP1, TP2, TP3) as well as a stop-loss level.
Visual Aids: Use the color-coded fill areas to quickly identify target zones and stop levels.
Trade Management: Utilize the plotted entry, target, and stop levels to manage your trades. Adjust your trading strategy based on the levels provided by the script.
Usage:
Designed for day trading on timeframes such as 5m, 15m, and 30m.
Provides clear visual plots of entry, target, and stop levels.
Offers flexibility with adjustable parameters to suit different trading styles.
MA Alignment DetectorMA Alignment Detector : If it is bullish MA alignment, the color becomes red, if it is bearlish MA alignment, the color become green.
ETH 1-2-3 Rigor Strategy Entry & 2:1 Risk-Rewar- By: Labaxuria Descrição em Inglês (Copy & Paste):
This script is a technical analysis tool designed specifically for ETH/USDT on Daily (1D) and Weekly (1W) timeframes. It identifies the classic 1-2-3 reversal pattern to provide high-probability entry points with a strictly disciplined risk management approach.
Core Features:
C3 Trigger Identification: The indicator highlights the "Candle 3" (Confirmation Candle) where the breakout of "Point 2" occurs, validating the market structure shift.
Automated 2:1 Risk-Reward: Upon a BUY or SELL signal, the script automatically plots a Red Line (Stop Loss) at the recent pivot and a Green Line (Take Profit) at a fixed 2:1 ratio. This ensures that every win is twice the size of a potential loss.
Trend Filtering (Gray Line): It includes a 20-period Moving Average to ensure trades are aligned with the prevailing market momentum.
Compression Detection (White Candles): Identifies "Inside Bars" by coloring the candle body or borders white. This warns the trader of price compression and potential volatility buildup before a breakout.
How to Use:
BUY + C3: Enter long when the price closes above Point 2, ideally while trading above the gray 20-SMA.
SELL + C3: Enter short when the price closes below Point 2, ideally while trading below the gray 20-SMA.
Exit Strategy: Follow the plotted levels strictly. Exit at the red line to protect capital or at the green line to book profits.
SterlCore FX [JOATSterlCore FX Matrix is a multi-timeframe forex indicator that integrates market structure analysis, central bank policy proxies, currency strength correlation, session-based liquidity tracking, and volatility diagnostics into a single overlay system.
Note: This script is published as an invite-only INDICATOR. It does not generate backtesting results or automated trade execution. Access requires authorization through the script's access control settings.
## Why This Script Merits Invite-Only Protection
This indicator combines multiple analytical dimensions that individually exist as separate tools across the trading community. The value proposition lies in the specific integration methodology and composite scoring system that synthesizes:
Multi-timeframe EMA lattice with adaptive ATR channels for structure analysis
Central bank policy pressure assessment using normalized currency index calculations
Real-time currency strength matrix across eight major currencies with correlation intelligence
Session-specific VWAP calculations with drift metrics and range analysis
Composite macro confluence scoring that weights and combines all analytical modules
The proprietary elements include the mathematical weighting system for the macro confluence score, the specific normalization methods for currency strength calculations, and the integration logic that prevents conflicting signals across modules. While individual components like EMAs and RSI are standard, their specific combination, the composite scoring methodology, and the multi-module integration represent original development work that justifies source code protection.
---
## How Components Work Together
The indicator's value comes from how its modules interact, not from any single component:
Data Flow:
1. Multi-timeframe EMAs establish directional bias across strategic, tactical, and execution timeframes
2. Currency strength matrix identifies which currencies are strengthening/weakening across the broader market
3. Policy proxies assess central bank pressure differentials between base and quote currencies
4. Session VWAPs track intraday institutional positioning and drift
5. Correlation grid monitors whether related pairs confirm or contradict the current pair's signals
6. Momentum and volatility filters ensure signals only fire during favorable market conditions
Integration Logic:
Each module produces a normalized score (-1 to +1). These scores are weighted and combined into the macroConfluence composite:
Structure score receives highest weight (50%) as the primary trend filter
Carry composite (30%) captures policy-driven flows
Currency strength spread (20%) validates pair-specific momentum
Momentum, liquidity, session drift, and correlation act as modifiers that can dampen or amplify signals
Why This Integration Matters:
A standard EMA crossover might signal "buy" while currency strength shows the base currency weakening, session VWAP shows price below fair value, and correlation pairs are diverging. The composite scoring system catches these conflicts and reduces signal confidence accordingly. This multi-dimensional validation is what separates this indicator from simple mashups that display multiple indicators without integration.
---
## Core Functionality
This indicator addresses the challenge of synthesizing multiple analytical dimensions in forex trading. Currency markets operate across multiple timeframes simultaneously, with central bank policy shifts, cross-pair correlations, and session-specific liquidity patterns all influencing price action. Most indicators focus on a single dimension; this script attempts to integrate several.
What This Script Does:
Multi-timeframe structure analysis using synchronized EMAs across strategic (daily), tactical (4-hour), and execution (hourly) timeframes
Central bank policy pressure assessment through normalized currency index proxies
Real-time currency strength matrix tracking eight major currencies (USD, EUR, GBP, JPY, AUD, CAD, CHF, NZD)
Cross-pair correlation monitoring using configurable reference pairs
Session-based VWAP calculations with drift and range metrics for Asia, Europe, and US trading windows
Market structure detection including break-of-structure (BOS) confirmation, liquidity sweep identification, and RSI-based divergence alerts
Composite macro confluence score combining all modules with configurable weights
---
## Technical Architecture
### Multi-Timeframe Structure Lattice
The indicator calculates exponential moving averages (EMAs) across three timeframes:
Strategic EMA (default: Daily timeframe, 96-period EMA) — Anchors to longer-term monetary drift and macro flows
Tactical EMA (default: 4-hour timeframe, 55-period EMA) — Captures rotational pressure during positioning for economic data or policy events
Execution EMA (default: 1-hour timeframe, 21-period EMA) — Tracks microstructure in real time
An adaptive ATR-based channel surrounds the execution EMA to define a "value corridor" for entry consideration. Break-of-structure (BOS) logic requires price to close beyond prior swing highs/lows by a configurable ATR percentage threshold to reduce false breakouts.
### Policy Gradient & Carry Intelligence
The script uses currency index proxies (defaults: FX_IDC:EURUSD and FX_IDC:USDJPY ) to approximate central bank policy pressure. These proxies are smoothed via EMA and normalized over a lookback period.
The carryComposite calculation blends:
Normalized policy spread between base and quote currency proxies
Policy drift (difference between tactical and macro timeframe policy spreads)
Carry acceleration (rate of change in policy spread)
Carry opportunity signals appear when the composite exceeds a threshold and aligns with structure bias and currency strength dispersion.
### Currency Strength Matrix
Eight currency baskets are tracked using configurable symbol inputs (defaults use $FX_IDC pairs). Each currency's strength is normalized to a -1 to +1 scale relative to its lookback range. The heatmap table displays which currencies are dominating, allowing quick assessment of broad market moves before they appear in individual pair price action.
### Correlation Intelligence Grid
Three reference pairs (defaults: FX_IDC:EURUSD , FX_IDC:GBPUSD , FX_IDC:USDJPY ) are monitored on a higher timeframe. The script calculates correlation coefficients and assigns qualitative descriptors: "Lockstep +", "Aligned +", "Loose", "Aligned -", or "Lockstep -". A correlation consensus value feeds into the macro confluence calculation, dampening signals when reference pairs show conflicting behavior.
### Momentum, Volatility & Liquidity Stack
Dual ROC momentum — Fast and slow rate-of-change calculations prevent whipsaw from single-length oscillators
Volatility pulse — Compares current ATR to a slower baseline; signals require volatility above a floor threshold
Volatility forecast slope — Uses linear regression to project ATR 21 bars ahead, warning of imminent expansion or contraction
Liquidity pulse — Compares current volume to smoothed average; low participation is visually indicated via background tinting
### Session Awareness & Performance Console
Asia, Europe, and US trading sessions are tracked with configurable UTC windows. Each session maintains:
Live VWAP that resets at session open
Drift score quantifying price deviation from VWAP in ATR terms
Range percentage showing session expansion relative to VWAP
Session bias composite feeds into macro confluence to reduce signal aggression when all sessions are mean-reverting.
### Liquidity & Market Structure Suite
Liquidity sweeps — Detects stop hunts above prior highs or below prior lows within a configurable lookback
RSI divergence — Identifies momentum divergences using confirmed pivot points only
Supply/demand zones — Automatically generated from pivot highs/lows and projected forward for a set number of bars
### Macro Alignment Engine
The macroConfluence score combines:
Structure score (weighted average of strategic/tactical/execution EMAs)
Carry composite
Currency strength spread (base minus quote)
Momentum score
Liquidity modifier
Session bias composite
Correlation consensus
Long/short alignment signals require:
Macro confluence exceeding configurable threshold (default: 0.55)
Volatility pulse above floor threshold
Optional: Price above/below tactical EMA (execution filter toggle)
---
## Visual Elements
Candle Coloring: Candles are recolored based on macro confluence: teal for bullish alignment, magenta for bearish alignment, neutral gray for distribution phases.
Background Tint: Volatility intensity modulates chart background; bold colors indicate elevated ATR, washed-out tones suggest choppy conditions.
Labels:
Macro Align Long/Short — Primary entry signals when confluence exceeds threshold
BOS↑/↓ — Break-of-structure confirmation
Sweep↑/↓ — Liquidity sweep detection
RSI Bull/Bear Div — Momentum divergence alerts
Carry Bias± — Policy-strength alignment flags
Session Overlays: Transparent background shading indicates active trading sessions (Asia, Europe, US) with configurable opacity.
Session VWAPs: Each region's VWAP is plotted in a distinct color (teal for Asia, blue for Europe, purple for US).
---
## Dashboard Tables
The indicator includes several configurable information tables:
Intelligence Dashboard (top-right, default) — Displays strategic/tactical/execution bias, policy pressure, currency spread, volatility pulse, policy impulse, session drift, correlation, and macro state
Currency Heatmap (bottom-right, default) — Shows normalized strength values for all tracked currencies
Correlation Grid (bottom-left, default) — Lists reference pairs with correlation coefficients and qualitative states
Session Performance Panel (bottom-center, default) — Displays drift scores and range percentages for each session
Diagnostics Table (top-left, optional) — Additional session range metrics and liquidity pulse values
All table positions are configurable via input settings to avoid overlap with TradingView UI elements.
---
## Configuration Parameters
Multi-Timeframe Structure: All EMA timeframes and lengths are adjustable. Default strategic timeframe is Daily; tactical is 4-hour; execution is 1-hour.
Policy Proxies: Base and quote currency policy proxy symbols are user-configurable. Defaults use $FX_IDC pairs for broad compatibility.
Currency Strength: Each currency's tracking can be toggled on/off. Symbol inputs allow substitution of alternative data sources if default indices are unavailable.
Correlation References: Three reference pair symbols, timeframe, and lookback period are all configurable.
Signal Thresholds: Macro alignment trigger, volatility pulse floor, and carry opportunity threshold are adjustable to match different trading styles.
Visual Controls: Label visibility, zone display, session overlays, VWAP plotting, and all dashboard tables can be toggled independently.
---
## Technical Implementation Notes
Pine Script v6 compliant
All request.security calls use lookahead_off to prevent historical repainting
BOS, divergence, and sweep detection rely on confirmed pivot points only
Session VWAP calculations reset strictly on session boundaries
Zone objects are automatically capped and managed to respect TradingView resource limits
All calculations include division-by-zero guards and NA handling for real-time stability
---
## Usage Considerations
Timeframe Selection: The indicator is designed for forex pairs. Default timeframes (D/4H/1H) are optimized for swing and intraday trading. Scalpers may prefer shorter execution timeframes; position traders may extend strategic to weekly.
Pair Compatibility: Tested on major pairs ( FX:EURUSD , FX:GBPUSD , FX:USDJPY , OANDA:USDCHF , OANDA:AUDUSD , OANDA:USDCAD , OANDA:NZDUSD ), cross-pairs, and FX-derived CFDs. Policy proxy symbols should be adjusted to match your data feed availability.
Session Windows: Default UTC windows (Asia: 22:00-06:00, Europe: 06:00-13:00, US: 13:00-21:00) can be customized. Adjust for daylight saving time transitions as needed.
Signal Interpretation: Macro alignment signals indicate confluence across multiple dimensions but do not guarantee profitable outcomes. Use in conjunction with risk management and market context. The indicator is a tool for analysis, not a standalone trading system.
Resource Usage: With all features enabled, the script operates within TradingView's resource budgets. Disable unused modules (currency tracking, correlation grid, diagnostics) if running multiple instances on a single layout.
---
## Limitations & Compromises
Policy proxies are approximations using currency indices; actual central bank policy requires external economic analysis
Correlation calculations use price-based correlation, which may lag during regime shifts
Session VWAPs reset at session boundaries; overlapping sessions (e.g., London/NY) may show conflicting signals
Supply/demand zones are generated from pivots; false zones may appear during ranging markets
Macro confluence is a composite score; individual components may conflict, requiring discretionary interpretation
The indicator is optimized for trending and rotational markets. Performance may degrade during extended consolidation or during major economic event volatility when multiple central banks act simultaneously.
---
## Alert System
The script includes four alert conditions:
SterlCore FX Bullish Alignment — Fires when macro confluence exceeds threshold with volatility and EMA filters satisfied
SterlCore FX Bearish Alignment — Mirror of bullish logic
SterlCore FX Carry Long — Fires when carry composite, currency spread, and structure align for long bias
SterlCore FX Carry Short — Mirror of carry long logic
All alerts fire once per bar at bar close.
-Made with passion by officialjackofalltrades
Hookes Kinetics | IkkeOmarHooke's Kinetics: A Physics-Based Volatility System
This indicator applies the principles of Hooke's Law to financial time series data to model market volatility as a system of potential and kinetic energy.
Theoretical Foundation: Hooke's Law In physics, Hooke's Law states that the force (F) needed to extend or compress a spring by some distance (x) scales linearly with respect to that distance: F = -kx, where k is the spring constant.
Potential Energy (PE): PE = 0.5 * k * x^2 Kinetic Energy (KE): Energy possessed due to motion.
In this system, we treat Price Action as a spring. Compression (Potential Energy): When price consolidates, volatility compresses. The "spring" is being wound up. Energy is accumulated, not released. Release (Kinetic Energy): When price breaks out of compression, potential energy transforms into kinetic energy. The spring snaps back, driving price motion.
Indicator Mechanics The Hooke's Kinetics oscillator visualizes this energy transfer cycle to identify trend origins and exhaustion points.
Accumulating Energy (Potential): The Blue Area represents the buildup of Potential Energy. This occurs during periods of low volatility (consolidation). The algorithm detects when price variance drops below a threshold (representing spring compression) and aggregates this "stored force" over time. As long as the price remains compressed, the Blue potential energy grows.
Energy Conversion (Kinetic Release): The Red Histogram represents Kinetic Energy. When volatility expands significantly (a breakout), the system triggers a release event. The accumulated Blue potential energy is discharged and converted into the Red kinetic spike. This marks the moment the "spring" is released.
Trend Direction & Decay: Once the Kinetic Energy (Red spike) appears, the "explosive" phase is active. As the Red histogram decays (lowers back to zero), the market enters a coasting phase. The trend direction is established by the price movement during the initial Kinetic release. Traders observe the price vector as the Red energy dissipates to confirm the prevailing trend.
Reversion Signals (Bonus): Extreme peaks in Kinetic Energy (exceptionally high Red spikes) indicate a maximum extension of the spring. Just as a physical spring oscillates, extreme kinetic release often precedes a mean reversion. If price action opposes the direction of the Kinetic decay, it signals a likely reversal.
Visual Reference Referencing the chart above: Blue Ramp: Note the linear buildup of the blue area during sideways price action. This is the "loading" phase. Red Spike: Note the immediate drop in Blue and spike in Red coinciding with the green highlight circles on the chart. These are the breakout points. Green Circles: These highlight the specific candles where Potential converted to Kinetic, marking the optimal entry or decision points.
Code Description
The system defines market state using a composite variable "k" (Stiffness), which combines Price Volatility (NATR) and Relative Volume (RVOL).
k_price = range_natr != 0 ? 1.0 - ((natr - lowest_natr) / range_natr) : 0 k = (k_price * price_weight) + (k_vol * vol_weight) Here, we normalize volatility relative to a historical lookback. High values of "k" indicate high compression—this is the "winding" of the spring.
if is_compressed potential_energy := potential_energy + k kinetic_energy := kinetic_energy * DECAY_RATE When the market is tighter than the user-defined "stiff_thresh", the system accumulates Potential Energy. Note that Kinetic Energy actively decays during this phase, simulating friction or inertia slowing down price movement.
else drain_factor = (1.0 - k) transfer = potential_energy * drain_factor potential_energy := potential_energy - transfer kinetic_energy := (kinetic_energy * DECAY_RATE) + (transfer * ENERGY_MULT) This acts as the conservation of energy. We do not reset Potential to zero instantly; we drain it. The "drain_factor" ensures that a violent expansion (low k) drains potential energy faster than a mild move. This transferred energy is scaled up and added to the Kinetic state.
Note - AMPLITUDE MATTERS!
Observe the amplitude of the Kinetic Energy - higher peaks are more significant. Lower values are usually artifacts, but they can indicate mean reversion on a smaller scale while price remains within a range.
Ash_TheTrader: Institutional Truth / Volume ProfileSTOP GUESSING. See the Institutional Truth. (No Repaint)
Most retail traders are trading blind. You are looking at lagging moving averages and "magic" lines that disappear when the price moves against them.
The institutions? They are trading Liquidity.
For months, I have been developing a proprietary engine that strips away the noise and reveals the Statistical Truth of the market. This is not just another "buy/sell" indicator. This is an Institutional Liquidity Engine designed to show you exactly where the money is hiding.
Introducing: Ash_TheTrader: Institutional Truth
👁️ What is "The Truth"?
This script utilizes an Auto-Anchored Liquidity Engine that automatically detects the start of true market cycles. It builds a real-time profile of volume, delta, and imbalance to answer one simple question: Who is actually in control?
It features a "Black Box" Signal Engine that refuses to repaint. If it says BIAS ↑ , the institutional flow is bullish. Period.
🚀 Key Features
• 🚫 NO REPAINT Bias: Signals are mathematically locked. They never disappear. • 🏦 Institutional Logic: It filters out "Retail Traps." If price hasn't reclaimed the Value Level (POC), it won't signal a trade—saving you from buying the top. • ⚡ Dual-Core Engine: Switch between Swing Mode (Macro Trends) and Scalp Mode (M1/M5 Aggressive Algorithms). • 🧱 Liquidity Walls: Bright Neon blocks appear where 75%+ of volume is one-sided. This is where you place your limit orders.
📚 Step-by-Step: How to Trade "The Truth"
1. Choose Your Engine Go to Settings > Algorithm Mode. • Select "Normal (Swing)" for H1/H4 trend trading (Higher Winrate). • Select "Scalp (Aggressive)" for M1/M5/M15 (Faster Signals).
2. The "Green Light" Setup (Long) • Wait for the Dashboard: Look for the signal ✅ SWING BIAS ↑ or ⚡ SCALP BIAS ↑ . • Check the Trap: Ensure the text does NOT say "⚠️ TRAP." • Entry: Enter on the close of the candle. • Stop Loss: Place below the Yellow "Truth" Level (Point of Control) or the recent Swing Low.
3. The "Brick Wall" Scalp • If you see a bright NEON RED block appear on the profile, that is a Bearish Wall . • Price will often bounce off this level aggressively. • Strategy: Place a Sell Limit order at the Neon Red block for a quick reaction trade.
4. The Divergence Warning • Keep an eye on the bottom banner of the dashboard. • If you are Long, but you see a big RED "BEARISH DIV" warning, take profit immediately. The institutions are leaving the trade.
⚠️ A Warning This tool is powerful, but it reveals the reality of the market. Sometimes the Dashboard will say "⚠️ ACCUMULATING" or "⚠️ NEUTRAL." Do not force a trade. The secret to a high winrate is knowing when not to trade. Let the engine do the work.
Add it to your chart now. Stop guessing.
Cheers, @Ash_TheTrader
Trend Strength Matrix [JOAT]Trend Strength Matrix — Multi-Timeframe Confluence Analysis System
This indicator addresses a specific analytical challenge: how to efficiently compare multiple technical measurements across different timeframes while accounting for their varying scales and interpretations. Rather than managing separate indicator windows with different scales, this tool normalizes four distinct analytical approaches to a common -1 to +1 scale and presents them in a unified matrix format.
Why This Combination Adds Value
The core problem this indicator solves is analytical fragmentation. Traders often use multiple indicators but struggle with:
1. **Scale Inconsistency**: RSI ranges 0-100, MACD has no fixed range, ADX ranges 0-100 but measures strength not direction
2. **Timeframe Coordination**: Checking multiple timeframes requires switching between charts or cramming multiple indicators
3. **Cognitive Load**: Processing different indicator types simultaneously creates mental overhead
4. **Confluence Assessment**: Determining when multiple approaches agree requires manual comparison
This indicator specifically addresses these issues by creating a standardized analytical framework where different measurement approaches can be directly compared both within and across timeframes.
Originality and Technical Innovation
While the individual components (RSI, MACD, ADX, Moving Average) are standard, the originality lies in:
1. **Unified Normalization System**: Each component is mathematically transformed to a -1 to +1 scale using component-specific normalization that preserves the indicator's core characteristics
2. **Multi-Timeframe Weighting Algorithm**: Higher timeframes receive proportionally more weight (40% current, 25% next, 20% third, 15% fourth) based on the principle that longer timeframes provide more significant context
3. **Real-Time Confluence Scoring**: The composite calculation provides an instant assessment of how much the different analytical approaches agree
4. **Adaptive Visual Encoding**: The heatmap format allows immediate pattern recognition of agreement/disagreement across both indicators and timeframes
How the Components Work Together
Each component measures a different aspect of market behavior, and their combination provides a more complete analytical picture:
**Momentum Component (RSI-based)**: Measures the velocity of price changes by comparing average gains to losses
**Trend Component (MACD-based)**: Measures the relationship between fast and slow moving averages, indicating trend acceleration/deceleration
**Strength Component (ADX-based)**: Measures trend strength regardless of direction, then applies directional bias
**Position Component (MA-based)**: Measures price position relative to a reference average
The mathematical relationship between these components creates a comprehensive view:
- When all four agree (similar colors), it suggests multiple analytical approaches are aligned
- When they disagree (mixed colors), it highlights analytical uncertainty or transition periods
- The composite score quantifies the degree of agreement numerically
Detailed Component Analysis
**1. Momentum Oscillator Component**
This component transforms RSI into a centered oscillator by subtracting 50 and dividing by 50, creating a -1 to +1 range where 0 represents equilibrium between buying and selling pressure.
// Momentum calculation normalized to -1 to +1 scale
float rsi = ta.rsi(close, rsiLength)
float rsiScore = (rsi - 50) / 50
// Result: 0 at equilibrium, +1 at extreme overbought, -1 at extreme oversold
**2. Moving Average Convergence Component**
MACD is normalized by its own volatility (standard deviation) to create a bounded oscillator. This prevents the unbounded nature of MACD from dominating the composite calculation.
// MACD normalized by its historical volatility
= ta.macd(close, macdFast, macdSlow, macdSignal)
float macdStdev = ta.stdev(macdLine, 100)
float macdScore = macdStdev != 0 ? math.max(-1, math.min(1, macdLine / (macdStdev * 2))) : 0
**3. Directional Movement Component**
This combines ADX (strength) with directional movement (+DI vs -DI) to create a directional strength measurement. ADX alone shows strength but not direction; this component adds directional context.
// ADX-based directional strength
= calcADX(adxLength)
float adxStrength = math.min(adx / 50, 1) // Normalize ADX to 0-1
float adxDirection = plusDI > minusDI ? 1 : -1 // Direction bias
float adxScore = adxStrength * adxDirection // Combine strength and direction
**4. Price Position Component**
This measures price deviation from a moving average, weighted by the magnitude of deviation to distinguish between minor and significant displacements.
// Price position relative to moving average
float ma = ta.sma(close, maLength)
float maDirection = close > ma ? 1 : -1
float maDeviation = math.abs(close - ma) / ma * 10 // Percentage deviation scaled
float maScore = math.max(-1, math.min(1, maDirection * math.min(maDeviation, 1)))
Multi-Timeframe Integration Logic
The multi-timeframe system uses a weighted average that gives more influence to higher timeframes:
// Timeframe weighting system
float currentTF = composite * 0.40 // Current timeframe: 40%
float higherTF1 = composite_tf2 * 0.25 // Next higher: 25%
float higherTF2 = composite_tf3 * 0.20 // Third higher: 20%
float higherTF3 = composite_tf4 * 0.15 // Fourth higher: 15%
float multiTFComposite = currentTF + higherTF1 + higherTF2 + higherTF3
This weighting reflects the principle that higher timeframes provide more significant context for market direction, while lower timeframes provide timing precision.
What the Dashboard Shows
The heatmap displays a grid where:
Each row represents a timeframe
Each column shows one component's normalized reading
Colors indicate the value: green shades for positive, red shades for negative, gray for neutral
The rightmost column shows the composite average for that timeframe
Visual Elements
Moving Average Line — A simple moving average plotted on the price chart
Background Tint — Subtle coloring based on the composite score
Shift Labels — Markers when the composite crosses threshold values
Dashboard Table — The main heatmap display
Inputs
Calculation Parameters:
Momentum Length (default: 14)
MACD Fast/Slow/Signal (default: 12/26/9)
Directional Movement Length (default: 14)
Moving Average Length (default: 50)
Timeframe Settings:
Enable/disable multi-timeframe analysis
Select additional timeframes to display
How to Read the Display
Similar colors across a row indicate the components are showing similar readings
Mixed colors indicate the components are showing different readings
The composite percentage shows the average of all four components
Alerts
Composite crossed above/below threshold values
Strong readings (above 50% or below -50%)
Important Limitations and Realistic Expectations
This indicator displays current analytical conditions—it does not predict future price movements
Agreement between components indicates current analytical alignment, not future price direction
All four components are based on historical price data and inherently lag price action
Market conditions can change rapidly, making current readings irrelevant
Different parameter settings will produce different readings and interpretations
No combination of technical indicators can reliably predict future market behavior
Strong readings in one direction do not guarantee continued movement in that direction
The composite score reflects mathematical relationships, not market fundamentals or sentiment
This tool should be used as one input among many in a comprehensive analytical approach
Appropriate Use Cases
This indicator is designed for:
- Analytical organization and efficiency
- Multi-timeframe confluence assessment
- Pattern recognition in indicator relationships
- Educational study of how different analytical approaches relate
- Supplementary analysis alongside other methods
This indicator is NOT designed for:
- Standalone trading signals
- Guaranteed profit generation
- Market timing precision
- Replacement of fundamental analysis
- Automated trading systems
— Made with passion by officialjackofalltrades
Average Volatility Average Volatility Indicator
Indicator Overview
A professional multi-period volatility analysis tool that calculates price range volatility across different time frames, helping traders identify market volatility levels and potential price movement ranges. Particularly useful for day traders and swing traders.
🔧 Core Features
1. Multi-Period Volatility Calculation
Today's Range: Calculates the difference between today's high and low prices
Yesterday's Range: Calculates yesterday's price fluctuation range
5-Day Average: Average fluctuation range over the past 5 trading days
10-Day Average: Average fluctuation range over the past 10 trading days
20-Day Average: Average fluctuation range over the past 20 trading days (using intelligent estimation algorithm)
2. Comprehensive Average Volatility
Uses a weighted average algorithm to calculate comprehensive volatility:
text
Comprehensive Average = (Yesterday's Range + 5-Day Avg + 10-Day Avg + 20-Day Avg) ÷ 4
This unique formula combines short-term, medium-term, and long-term volatility, providing a more complete perspective on market volatility.
3. Real-Time Opening Analysis
Monitors the difference between opening price and current price in real-time
Visualizes opening price movement direction and magnitude
Provides initial momentum signals for the current trading day
Underlying Concepts & Methodology
Volatility Measurement Approach
The indicator focuses on true range volatility rather than standard deviation-based methods. It measures:
Daily Range: High-Low difference (cleanest volatility measure)
Multi-Period Averages: Smooths out daily anomalies
Weighted Combination: Balances recent vs. historical volatility
Technical Implementation
Data Collection: Uses multiple timeframes via request.security() for accurate daily data
Adaptive Calculation: Automatically adjusts for different instrument precision levels
Efficient Algorithms: Optimized calculation methods to minimize resource usage
20-Day Average Calculation Innovation
Due to TradingView's request limitations, the indicator uses a hybrid calculation method:
Actual data for first 15 days
Intelligent estimation for remaining 5 days using historical average
Maintains accuracy while respecting platform constraints
Practical Applications
For Day Traders
Range Estimation: Predict today's potential high-low range based on historical volatility
Breakout Confirmation: Compare current price movement to average daily range
Risk Management: Set stop-losses based on average volatility
For Swing Traders
Trend Strength Assessment: Higher volatility in trend direction indicates stronger momentum
Support/Resistance Levels: Use average range to identify potential reversal zones
Position Sizing: Adjust position sizes based on current vs. historical volatility
For All Traders
Market Condition Analysis: Identify low-volatility (consolidation) vs. high-volatility (trending) periods
News Impact Assessment: Compare pre-news vs. post-news volatility
Time-of-Day Patterns: Analyze volatility patterns at different market hours
How to Use
Basic Usage
Install the indicator on your TradingView chart
View the transparent table in your selected corner position
Monitor the key metrics:
Opening price and change
Today's current range
Multi-period averages
Comprehensive volatility value
Customization Options
Language Toggle: Switch between English and Chinese interfaces
Display Position: Choose from four corner positions
Font Size: Adjust text size for optimal visibility
Show/Hide Table: Toggle display as needed
Trading Signals Interpretation
Opening Change: Positive suggests bullish momentum, negative suggests bearish pressure
🔍 Unique Advantages
Multi-Timeframe Perspective: Combines daily, weekly, and monthly volatility views
Adaptive Precision: Works perfectly with any trading instrument
Clean Display: Transparent table doesn't clutter the chart
Real-Time Updates: All values update with each price tick
Educational Value: Helps traders understand volatility patterns
🚨 Risk Considerations
Historical volatility doesn't guarantee future volatility
Use as a supplementary tool, not standalone signal
Combine with other analysis methods for best results
Always use proper risk management regardless of volatility readings
This indicator provides traders with a sophisticated yet easy-to-use volatility analysis tool, helping make more informed trading decisions based on historical price behavior patterns.
TRI - Support/Resistance Multi Timeframe🎯 BREAKOUT STRATEGY:
This indicator identifies key S/R levels where momentum shifts occur.
Use these levels for high-probability breakout entries.
📈 LONG BREAKOUT SETUP:
Wait for price to approach a RESISTANCE level (above current price)
Look for increasing volume as price tests the level
Enter LONG when price closes decisively ABOVE the resistance zone
Set stop-loss just below the broken resistance (now support)
Target: next resistance level above, or 1:2 risk/reward
📉 SHORT BREAKOUT SETUP:
Wait for price to approach a SUPPORT level (below current price)
Look for increasing volume as price tests the level
Enter SHORT when price closes decisively BELOW the support zone
Set stop-loss just above the broken support (now resistance)
Target: next support level below, or 1:2 risk/reward
⚡ PRO TIPS:
Higher timeframe levels (D, W) are STRONGER - breakouts more reliable
Use "Zones" mode to see the full breakout area, not just a line
Multiple levels clustered together = stronger S/R zone
Failed breakout (price returns inside zone) = potential reversal trade
Combine with volume confirmation for best results
🔔 ALERTS:
Set alerts for new levels on current TF to spot fresh momentum shifts in real-time.
🔗 COMBINE WITH OTHER INDICATORS:
For best results, use this indicator together with:
EMA (50/200) - Dynamic support/resistance for trend confirmation
Volume Profile - Confirms high-volume price levels
When price bounces from a static S/R level AND respects EMA = high-probability trade
📊 DETECTION METHODS:
Choose your preferred method in settings:
MACD MODE:
Uses MACD histogram to identify momentum-based S/R levels:
Histogram dips in positive territory = bullish momentum pausing = SUPPORT zone
Histogram peaks in positive territory = bullish momentum reversal = RESISTANCE zone
Histogram peaks in negative territory = bearish momentum pausing = RESISTANCE zone
Histogram dips in negative territory = bearish momentum reversal = SUPPORT zone
Only significant extremes are marked, filtering out noise
FRACTALS MODE:
Uses pivot high/low detection (similar to Williams Fractals):
Detects swing highs = RESISTANCE levels where price reversed down
Detects swing lows = SUPPORT levels where price reversed up
Uses ta.pivothigh/pivotlow for memory-efficient calculation
"Fractal Periods" setting controls lookback (higher = fewer, stronger levels)
Levels positioned at bar for real-time detection
Mag 7 EMA Trend MonitorDashboard Layout:
1. Symbol Column: The Mag 7 tickers.
2. Trend Column: Visual Bull/Bear status.
3. Strength Column: Percentage distance from the mean (EMA 21).
4. Aggregate Row: Summary of market breadth and average sector pull/push.
How to Interpret the Trend Strength:
• Positive %: The stock is trading above its 21 EMA. A very high number (e.g., $+15\%$) might suggest the stock is "overbought" or overextended.
• Negative %: The stock is trading below its 21 EMA. A very low number (e.g., $-10\%$) might suggest it is "oversold."
• Avg Strength: This gives you a bird's-eye view of the sector. If the aggregate is "5 Up / 2 Down" but the Avg Strength is only $+0.5\%$, the trend is weak and might be exhausting.
"Pro-tips" for tool:
• Multi-Timeframe Correlation: Try setting the Dashboard Timeframe to "D" (Daily) while trading on a "5m" or "15m" chart. This allows you to see if your intraday trade is aligned with the "Big Money" trend of the week.
• The 4/7 Rule: Watch for that Aggregate row to hit 4 out of 7. In the Mag 7, since these stocks carry so much weight in the SPY and QQQ, a shift to a majority (4+) often precedes a move in the overall market indices.
V-Max L2B: SMC Terrain Map (Institutional Order Flow)Overview The SMC Terrain Map (V-Max L2B) is a professional-grade structural analysis engine based on Smart Money Concepts (SMC). It provides a high-fidelity "topographical" view of market liquidity by automatically identifying and projecting institutional Supply/Demand zones, Fair Value Gaps (FVG), and Order Blocks (OB). The tool is designed to synchronize structural shifts with tactical execution.
Technical Methodology & Originality L2B moves beyond simple price marking by employing a sophisticated object management and tactical filtering engine, justifying its invite-only status:
Dynamic Mitigation & Sweeping Engine: Utilizing a custom SMCBox data structure, the script tracks institutional zones in real-time. It features a "Physical Mitigation Detection" system that automatically invalidates zones when price action effectively sweeps the liquidity, ensuring traders focus only on fresh, unmitigated levels.
Strategic-Lock Mechanism (v6.7 Update): This proprietary logic eliminates false signals during choppy conditions. Signals are interlocked with the presence of active OBs; a "War God" label will only trigger if an unmitigated zone is physically present on the chart.
Quantitative Trend Slope Filter: The system integrates EMA slope detection. During flat market phases, the engine enters "Silent Mode," automatically filtering out rapid flip-flop signals and meaningless noise from lateral price action.
Adaptive Profit Margin Defense: The script employs an original "is_room_to_trade" logic. It calculates the structural gap between localized levels and requires a minimum threshold (2.5x ATR) before validating alerts. This prevents overtrading in "Choke Zones" where the risk-reward ratio is statistically unfavorable.
Bar-Index Physical Lock: To prevent duplicate alert "spamming" on lower timeframes (e.g., 3M), the script utilizes a bar-index locking mechanism, ensuring only one high-conviction signal is issued per structural event.
How to Use
Zone Confluence: Identify high-probability setups when the "War God" tactical labels align with unmitigated Order Blocks (OB).
Trend Transitions: Monitor the "🛡️ Retreat" labels and CHoCH (Change of Character) markers for early warnings of structural failure or trend reversals.
產品概述 V-Max L2B SMC 撐阻地形圖是一款專業級結構分析引擎。它透過自動識別並投影機構級供應/需求區、失衡缺口 (FVG) 與訂單塊 (OB)，為交易者提供高清晰度的市場流動性「地形圖」，並將結構轉變與戰術執行同步化。
技術邏輯與原創性 L2B 作為僅限邀請工具，其技術價值體現在精密的物件管理與戰術鎖定引擎：
動態失效與清掃引擎： 採用自定義 SMCBox 數據結構，具備實時「物理失效檢測」。當價格清掃流動性時，系統自動標註失效，確保交易者僅關注未被觸碰的有效區間。
Strategic-Lock 戰略鎖定 (v6.7 更新)： 此邏輯消除了震盪行情下的誤報。訊號與實體 OB 聯鎖；只有在畫面上存在有效、未失效的 OB 時，系統才會觸發「戰神」進場標籤。
量化趨勢斜率過濾： 引入 EMA 斜率判定技術。當市場進入橫盤、均線走平時，系統自動進入靜默模式，過濾無意義的多空頻繁轉換訊號。
適應獲利空間防禦： 內建原創空間過濾邏輯。系統要求結構空間須達到 2.5 倍 ATR 門檻才允許發出警報，有效避開盈虧比不利的「窒息區」。
K 棒物理鎖： 具備單根 K 棒警報鎖定機制，防止在低時區（如 3M）因價格反覆摩擦而導致的重複誤報。
Access & Authorization This is an Invite-Only script. Please refer to my TradingView Profile Signature for instructions on how to request access and authorization.
Disclaimer: This script is for technical analysis and educational purposes only. Trading involves risk.
V-Max L1: Strategic Horizon & Trend NavigatorV-Max L1: Strategic Horizon & Trend Navigator
Overview The Strategic Horizon & Trend Navigator (V-Max L1) is a comprehensive trend-following system designed to synthesize macro market inertia with localized momentum. It serves as a visual navigation tool, filtering out high-frequency noise to identify high-probability trend regimes and structural shifts.
Core Technical Logic This script integrates several multi-layered components to provide a unified trend-analysis framework, justifying its invite-only access:
Institutional Trend Boundary: The system utilizes an integrated Vegas Tunnel logic (200/233 EMA) as the core structural filter. This defines the institutional trend bias, effectively distinguishing between bullish and bearish market regimes.
Proprietary Momentum Integration: A multi-length RSI algorithm is employed to detect momentum extremes. The logic calculates exhaustion and acceleration phases, visualized through specific color-coded status signals (Yellow/Pink) to highlight potential overextended conditions.
Volume-Price Ignition Engine: The script monitors for volume-price divergence, specifically flagging "Ignition Candles" where the relative volume exceeds 1.5x the rolling average. This identifies areas of high institutional activity and potential trend initiation.
Signal Stabilization (MTF Logic): To minimize signal flickering on lower timeframes, the script incorporates MTF (Multi-Timeframe) confirmation protocols. This ensures that localized signals are only validated when they align with higher-order structural shifts.
How to Use
Background Trend Bias: Visualizes the macro regime. Neutral/Gray backgrounds indicate a bullish structural bias, while Dark Red highlights bearish dominance.
Launch & Momentum Signals: "Long/Short" labels appear when short-term moving average dynamics synchronize with specific RSI momentum thresholds.
Top/Bottom Reversal Markers: Based on long-cycle RSI extremes, these markers help identify potential cyclical exhaustion for strategic profit-taking or reversal preparation.
產品概述 V-Max L1 戰略地圖是一款綜合性趨勢導航系統，旨在將宏觀市場慣性與局部動能相結合。它作為一種視覺化導航工具，能有效過濾高頻雜訊，幫助交易者識別高勝率的趨勢狀態與結構性轉變。
核心技術邏輯 本腳本整合了多個層次的研究組件，形成統一的趨勢分析框架：
機構級趨勢分水嶺： 系統整合了維加斯通道 (200/233 EMA) 邏輯作為核心結構濾網。這定義了機構級的趨勢偏好，有效區分多頭與空頭的結構性狀態。
專有動能整合： 採用多長度 RSI 算法檢測動能極限。該邏輯計算動能的疲勞與加速階段，透過顏色訊號（黃燈/粉燈）標註潛在的過熱狀態。
量價點火引擎： 腳本監控量價背離，特別標註相對成交量超過 1.5 倍滾動平均值的「點火 K 線」。這有助於識別高強度的機構參與及趨勢啟動區域。
訊號平滑處理 (MTF 邏輯)： 為減少低時區的訊號閃爍，腳本整合了多時區 (MTF) 確認協議，確保局部訊號與高階結構位階保持一致。
Access & Authorization This is an Invite-Only script. Please refer to my TradingView Profile Signature for instructions on how to request access and authorization.
Disclaimer: This script is for technical analysis and educational purposes only. Trading involves risk.
Intraday ORB-Anchored VWAP Structure [Arjo]Intraday ORB-Anchored VWAP Structure
This indicator is built for intraday traders. This tool helps them to see how the market is behaving today. It uses Opening Range, VWAP, and commonly used reference levels to show the market's general direction.
It will not tell you exactly when to buy or sell. Instead, it provides a clear picture of the market so you can make better decisions on your own.
What This Indicator Does
1. Defines the Trading Session
The indicator works only during the selected intraday session (for example, the Indian market). All levels reset automatically at the start of each new trading day.
2. Calculates the Opening Range (ORB)
The Opening Range is the high and low formed during the first few minutes of the session (e.g., first 15 minutes). This range helps identify early market direction.
3. Determines Early Directional Bias
After the Opening Range ends, a smooth trend filter (using a smooth function) evaluates whether price behavior is more bullish or bearish.
This step is used only to decide where VWAP should be anchored , not to generate signals.
4. Anchors VWAP from the Opening Range
If early price behavior is bullish, VWAP is anchored from the Opening Range High
If early price behavior is bearish, VWAP is anchored from the Opening Range Low
5. Plots Important Reference Levels
Previous Day High (PDH) and Low (PDL)
Central Pivot Range (TC, PP, BC)
Opening Range High and Low
Optional Opening Range box
Anchored VWAP for the current session only
How You Can Use This Indicator
Use Opening Range High and Low to understand where the market found early support and resistance.
Observe how price behaves relative to the anchored VWAP :
Staying above VWAP suggests intraday strength
Staying below VWAP suggests intraday weakness
Use PDH, PDL, and CPR levels as reference zones where price may react.
Combine these levels with your own entry rules, confirmation tools, and risk management.
Notes
This indicator is a visual reference and structure tool only.
It does not predict price, provide trade calls, or guarantee outcomes .
All calculations are non-repainting once the Opening Range is complete.
Designed for educational, discretionary, and semi-systematic intraday analysis.
Disclaimer:
This script is intended for market analysis and educational purposes only . Trading involves risk, and users are responsible for their own trading decisions.
Happy Trading
AMax: Sniper Master V3.5 (Target Position)AMax: Sniper Master V3.5 (Target Position)
Overview AMax: Sniper Master V3.5 is a technical execution framework designed for volatility-based position sizing and risk management. Its primary objective is to filter out low-volatility "noise" and ensure that capital is deployed only when market conditions provide sufficient physical range to meet specific profit targets.
Core Mathematical Logic & Features This script does not provide buy/sell signals but serves as a mathematical engine to calculate optimal execution parameters based on the following logic:
Adaptive Midpoint Defense (Volatility Filter): The script monitors Relative Volume (RelVol). If $RelVol < 0.8$, the system identifies a low-liquidity environment and dynamically shifts the defensive line to a tactical midpoint (calculated as the average between the 3-minute and 15-minute structural levels). This reduces position sensitivity to random price wicks while maintaining a balanced risk-reward ratio.
Momentum Overheat Protection: Utilizing the Relative Strength Index (RSI), the script triggers a "Cooling" status when RSI values exceed 80 or drop below 20. This logic is implemented to prevent entry at exhausted price extremes (FOMO protection).
Quantitative Budget Guard: Users can input a specific "Trade Budget." The script then calculates the precise position size by dividing the budget by the distance to the calculated stop-loss level, ensuring that the maximum loss per trade never exceeds the user-defined threshold.
Real-time UI Friction Analysis: Rows 8 and 9 of the dashboard provide real-time data on "Physical Profit Space" (current range vs. target) and "Fee Friction" (calculating the impact of exchange fees on the net profit of a single unit).
How to Use
Identify your entry point based on your primary strategy.
Input your "Trade Budget" and "Target Profit" in the script settings.
Observe the Dashboard for "Overheat" status and "Tactical Midpoint" levels to adjust your execution.
產品概述 AMax: Sniper Master V3.5 是一個基於波動率的倉位計算與風險管理技術框架。其核心目標是過濾低波動時期的雜訊，確保僅在市場波幅足以支撐獲利目標時才進行資金部署。
核心數學邏輯與功能 本腳本不直接提供買賣訊號，而是作為一個數學引擎，根據以下邏輯計算最佳執行參數：
戰術折衷止損 (波動率濾網)： 腳本持續監測相對成交量 (RelVol)。當 $RelVol < 0.8$ 時，系統識別為低流動性環境，並將防線動態切換至「戰術中點」（計算為 3 分鐘與 15 分鐘結構位之平均值），以防止隨機插針觸發止損。
動能過熱保護： 利用相對強弱指標 (RSI)，當 RSI 超過 80 或低於 20 時觸發「冷卻」狀態，防止在價格極端疲勞處進場。
定量預算防禦： 使用者定義「單筆預算」，腳本自動將預算除以止損距離，精算出符合風險控制的下單量。
實時 UI 磨損分析： 表格實時顯示「物理獲利空間」與「交易手續費磨損」，幫助交易者判斷當前空間是否值得參與。
如何使用
根據您的主策略決定進場點。
在腳本設定中輸入您的「作戰預算」與「獲利目標」。
參考儀表板中的「過熱狀態」與「戰術中點」位階來優化您的執行紀律。
Access & Authorization This is an Invite-Only script. To request access, please refer to the instructions provided in my TradingView Profile Signature.
Disclaimer: This script is for educational and technical analysis purposes only. Trading involves significant risk.
KAMA Oscillator | IkkeOmarThis script transforms the Kaufman Adaptive Moving Average (KAMA) into an oscillator format, designed to visualize trend direction with reduced noise sensitivity. It operates in two modes: a Raw mode that tracks price levels directly, and a Normalized mode that bounds the oscillator between -1 and +1 for easier comparison across assets.
The calculations are the same as for the Normalized KAMA Oscillator, but I added a few features that users of the old version wouldn't necessarily want.
How it works
Efficiency Ratio (ER): The script calculates the "efficiency" of price movement by comparing the net direction of price to the total volatility over a set period.
Adaptive Smoothing:
When volatility is high but direction is unclear (choppy), the KAMA slows down to filter noise.
When price trends clearly, the KAMA speeds up to track the move.
Normalization (Optional): If enabled, the script takes the raw KAMA value and scales it relative to its highest and lowest points over the Normalization lookback period. The result oscillates between -1 (extreme low) and +1 (extreme high).
The SMA Signal Logic
The script allows you to overlay an SMA (Simple Moving Average) on the oscillator. This serves as a dynamic baseline for the oscillator's momentum.
Signal Generation: A signal is generated when the KAMA Oscillator crosses its SMA.
Bullish: Oscillator crosses above the SMA.
Bearish: Oscillator crosses below the SMA.
Lag vs. Noise Trade-off:
Advantage (Reduced Lag): Crossing the SMA often triggers a signal earlier than waiting for the oscillator to change color (slope change) or cross the zero line. It identifies when immediate momentum is outperforming the recent average.
Risk (Increased Noise): During consolidation, the oscillator will hover close to the SMA line. This increases the probability of "whipsaws" (false signals) where the line crosses back and forth rapidly without a sustained trend. This signal is aggressive and should be used with trend filters.
Triple EMA + Key Levels [Scalping-Algo]TITLE: Triple EMA Day Trading System with Multi-Timeframe Support/Resistance Levels
DESCRIPTION:
📊 Overview
This indicator combines trend-following EMAs with key historical price levels to create a complete day trading toolkit. It helps traders identify trend direction while highlighting important support and resistance zones from multiple timeframes.
🎯 Purpose & Trading Application
Day traders often need to quickly assess:
1. Current trend direction (using EMAs)
2. Key price levels where reversals or breakouts may occur
This indicator solves both needs in one tool, reducing chart clutter from multiple indicators.
📈 How It Works
TREND IDENTIFICATION (EMAs):
- EMA 13 (Yellow): Fast EMA for short-term momentum and entry timing
- EMA 48 (Purple): Medium EMA for intraday trend direction
- EMA 200 (Red): Slow EMA for overall trend bias
Trading Logic:
- When price is above all 3 EMAs = Strong bullish bias
- When price is below all 3 EMAs = Strong bearish bias
- EMA crossovers signal potential trend changes
- The 13/48 crossover is particularly useful for intraday entries
SUPPORT & RESISTANCE LEVELS:
- Previous Day High/Low (Green, Solid): Most recent daily range - high probability reaction zones
- 2-Day High/Low (Blue, Dashed): Extended lookback for stronger levels
- Previous Week High/Low (Orange, Dotted): Major institutional levels
Why These Levels Matter:
Previous day and weekly highs/lows are watched by many traders and algorithms. Price often:
- Reverses at these levels (support/resistance)
- Accelerates through them (breakout trades)
🔧 How To Use
FOR TREND TRADING:
1. Identify bias using EMA stack (all 3 aligned = strong trend)
2. Look for pullbacks to EMA 13 or 48 for entries
3. Use key levels as profit targets
FOR REVERSAL TRADING:
1. Watch for price approaching previous day/week levels
2. Look for rejection candles at these levels
3. Use EMA 13 break as confirmation
FOR BREAKOUT TRADING:
1. Identify consolidation near key levels
2. Enter on break of level with volume
3. Use opposite level as target
⚙️ Settings
All parameters are fixed for simplicity:
- EMAs: 13, 48, 200 periods
- Levels: Previous Day, 2-Day, Previous Week
- All lines thickness: 2
📝 Notes
- Best used on intraday timeframes (1min to 1hour)
- Levels update automatically each day/week
- Labels on right side identify each level (PDH, PDL, 2DH, 2DL, PWH, PWL)
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TAGS: ema, daytrading, support, resistance, levels, intraday, trend, scalping, swingtrading
Algoat_Alpha Composite Fear & GreedMarket sentiment is often noisy. We engineered a way to silence the noise.
The Algoat_Alpha Composite Fear & Greed Index is a structural sentiment engine designed for the modern trader. While standard indicators often lag or react too quickly to volatility, this tool solves the "Single Point of Failure" problem by aggregating four distinct market dimensions into a single, high-fidelity score (0-100).
Whether you are tracking liquidity grabs on CRYPTOCAP:BTC , structural shifts on CRYPTOCAP:SOL , or macro cycles on AMEX:SPY , this tool provides a normalized, algorithmic view of market psychology.
THE COMPOSITE ENGINE (METHODOLOGY)
To generate a reliable "Alpha" score, this script does not rely on a single input. Instead, it filters price action through a logic gate of Momentum, Volume, and Volatility.
RSI (Momentum): Establishes the baseline velocity of the move.
MFI (Volume Integrity): We fuse momentum with volume. If price pushes into "Greed" but volume (MFI) diverges, the Composite Score remains suppressed, filtering out weak structure and "fakeouts."
%B (Bollinger Volatility): Measures statistical extension. This distinguishes between a healthy trend and a statistically anomalous "Blow-off Top" (Extreme Greed).
CCI (Deviation): A custom normalization algorithm clamps the typically unbounded CCI to a 0-100 scale to detect standard deviation extremes.
FRACTAL TIMEFRAME LOGIC
This engine is Timeframe Agnostic, allowing for multi-dimensional analysis:
Intraday (1m - 15m): Identify micro-cycle exhaustion and liquidity sweeps.
Swing (1H - 4H): Gauge trend strength and mid-term sentiment shifts.
Macro (Daily - Weekly): Locate structural tops (Extreme Greed) and capitulation bottoms (Extreme Fear).
KEY FEATURES
1. Pine Screener Integration (Alerts):
This is a "Scanner-First" tool. It broadcasts 5 distinct alert signals, allowing you to filter the entire market for psychological anomalies using the TradingView Screener.
Extreme Fear (<25): Detects statistical oversold conditions often associated with capitulation.
Extreme Greed (>75): Detects statistical overextension often associated with euphoria.
2. The HUD Dashboard A clean, algorithmic overlay designed to keep your chart uncluttered:
Real-Time Score: Instant 0-100 reading.
Trend Context: Displays Previous Bar, 7-Day Average, and 30-Day Average to visualize sentiment momentum.
Smart Tooltips: Hover over any element for a detailed breakdown of the metric.
INTERPRETING THE ZONES
Zone 0-25 (EXTREME FEAR): Market is statistically oversold on high volume. Historically, this aligns with "Value" zones where Smart Money may be accumulating.
Zone 75-100 (EXTREME GREED): Market is overextended relative to volatility bands. Historically, this aligns with "Premium" zones where distribution may occur.
Sentiment is fractal. NASDAQ:TSLA might be showing "Greed" on the Daily while showing "Fear" on the 15m. Check the score for your asset on multiple timeframes—are they aligned or diverging?
Disclaimer: This tool is for educational purposes only and does not constitute financial advice.
LR Candles V2.1IMPORTANT: Use this strategy only with Heikin Ashi candles; otherwise, the results will be negative.
The use of this strategy is solely and exclusively under the responsibility of the operator.
To perform testing correctly and as close to market reality as possible, we suggest setting the strategy preferences as follows:
Slippage = 3
Using bar magnifico = Enabled
Commission = Completed
Detail: It is important to include at least 1,000 trades in the test. This provides a certain robustness in the historical analysis of a strategy. Values lower than this may alter the expected results when trading in real life.
Tip:
Play around with different time frames and calibrations on the strategic indicator. Examples include unchecking Ling-Reg, unchecking EMA, or using both in combination. Look for the best probability and results for a specific asset.
The strategy usually performs well on time frames longer than 1 hour; this is what has been observed.
