ColorFlow EMA📊 ColorFlow EMA — Trend Flow & Bias Indicator
🔹 What This Indicator Does
ColorFlow EMA is a clean, visual trend-flow indicator designed to show directional bias and momentum state at a glance.
It uses two exponential moving averages:
Fast EMA (default: 10)
Slow EMA (default: 20)
The area between the EMAs is color-shaded to clearly display whether price is in a bullish or bearish flow.
🎨 Visual Logic
🔵 Blue shading → Bullish flow
(Fast EMA above Slow EMA)
🔴 Red shading → Bearish flow
(Fast EMA below Slow EMA)
Optional crossover markers can be enabled for visual confirmation when EMA alignment changes.
🧠 How to Use ColorFlow EMA
This indicator is not a standalone strategy and is not intended for signal-chasing.
It is best used as a context and bias filter alongside:
Price action
Market structure (HH/HL, LH/LL)
Support & resistance or supply & demand zones
Pullbacks vs premium/discount
Typical use cases:
Favor longs when the flow is blue
Favor shorts when the flow is red
Avoid forcing trades when EMAs are tangled or flat
Wait for pullbacks into structure instead of chasing price
⚠️ Important Notes
EMA crossovers alone do not guarantee profitable trades
Market conditions, structure, and location always matter
Works best in trending or transitioning markets
Not designed for ranging/choppy environments without context
⚙️ Customization
EMA lengths can be adjusted
Crossover markers can be toggled on/off
Designed to stay visually clean and uncluttered
🎯 Who This Indicator Is For
Traders who prioritize price action over indicators
Intraday traders (forex, indices, ETFs, stocks)
Traders who want clarity, not noise
📝 Final Thought
ColorFlow EMA answers one simple question:
“Should I be looking for longs or shorts here?”
Use it for bias, not prediction.
Trend
Smart QA Checker Market StructureSmart Checker Market Structure
This Pine Script v6 indicator automatically analyzes market structure and displays the results in a clear question‑and‑answer format on the chart
It identifies basic structural patterns using recent highs and lows
Higher Highs HH and Higher Lows HL indicate an uptrend
Lower Lows LL and Lower Highs LH indicate a downtrend
Based on this logic, the script classifies the current market trend as
Uptrend
Downtrend
Sideways
Adaptive Momentum Contextdaptive Momentum Context (AMC)
Adaptive Momentum Context (AMC) is a single-panel, overlay indicator designed to help traders read market context, momentum behavior, and volatility-driven rhythm in a structured and non-misleading way.
This indicator does not aim to predict future price movements. Instead, it focuses on describing current market conditions using adaptive smoothing and higher-timeframe bias.
Concept Overview
AMC is built around three core ideas:
Higher Timeframe Context (Bias)
Adaptive Market Rhythm
Momentum Behavior within Context
These components are combined to provide a clearer view of when momentum aligns with the broader market structure.
Higher Timeframe Bias
The indicator retrieves price data from a user-selected higher timeframe and compares it to a moving average on that timeframe.
When higher timeframe price is above its average, the background is shaded green.
When it is below, the background is shaded red.
This background does not generate signals.
Its purpose is to define directional context and reduce decision-making against dominant market conditions.
Adaptive Market Rhythm
Instead of using a fixed-length moving average, AMC calculates an adaptive smoothing length based on relative volatility.
When volatility expands, the smoothing period increases.
When volatility contracts, the smoothing period shortens.
Because Pine Script does not allow dynamic lengths in built-in moving averages, the adaptive line is calculated manually using a recursive EMA formula.
This ensures:
No repainting
No future data access
Full Pine Script v6 compliance
The adaptive line represents the current market rhythm, not a trend guarantee.
Momentum Behavior
Momentum is derived from changes in the adaptive rhythm rather than raw price.
Small visual markers appear when:
Momentum accelerates in the direction of the higher timeframe bias
Momentum decelerates against that bias
These markers are contextual cues, not standalone trade signals.
How to Use
AMC is best used as a context and filtering tool, not as a mechanical entry system.
Possible use cases:
Filtering lower-timeframe entries
Avoiding trades against higher-timeframe structure
Visualizing momentum shifts during pullbacks or continuations
Users are encouraged to combine this indicator with their own risk management and execution rules.
Important Notes
This indicator does not provide performance guarantees.
Past behavior does not imply future results.
No lookahead, no repainting, or non-standard chart types are used.
Default settings are intended for general use and may require adjustment depending on market and timeframe.
ColorFlow EMA📊 ColorFlow EMA — Trend Flow & Bias Indicator
🔹 What This Indicator Does
ColorFlow EMA is a clean, visual trend-flow indicator designed to show directional bias and momentum state at a glance.
It uses two exponential moving averages:
Fast EMA (default: 10)
Slow EMA (default: 20)
The area between the EMAs is color-shaded to clearly display whether price is in a bullish or bearish flow.
🎨 Visual Logic
🔵 Blue shading → Bullish flow
(Fast EMA above Slow EMA)
🔴 Red shading → Bearish flow
(Fast EMA below Slow EMA)
Optional crossover markers can be enabled for visual confirmation when EMA alignment changes.
🧠 How to Use ColorFlow EMA
This indicator is not a standalone strategy and is not intended for signal-chasing.
It is best used as a context and bias filter alongside:
Price action
Market structure (HH/HL, LH/LL)
Support & resistance or supply & demand zones
Pullbacks vs premium/discount
Typical use cases:
Favor longs when the flow is blue
Favor shorts when the flow is red
Avoid forcing trades when EMAs are tangled or flat
Wait for pullbacks into structure instead of chasing price
⚠️ Important Notes
EMA crossovers alone do not guarantee profitable trades
Market conditions, structure, and location always matter
Works best in trending or transitioning markets
Not designed for ranging/choppy environments without context
⚙️ Customization
EMA lengths can be adjusted
Crossover markers can be toggled on/off
Designed to stay visually clean and uncluttered
🎯 Who This Indicator Is For
Traders who prioritize price action over indicators
Intraday traders (forex, indices, ETFs, stocks)
Traders who want clarity, not noise
📝 Final Thought
ColorFlow EMA answers one simple question:
“Should I be looking for longs or shorts here?”
Use it for bias, not prediction.
7M Momentum Signals Multi Timeframe and ConfluenceThis indicator is a multi-timeframe momentum scanner designed to identify structured breakout setups by combining trend, volume, momentum, and volatility expansion.
All signals are calculated on confirmed bar close only, deliberately avoiding repainting and intrabar noise.
The core idea is to highlight high-impulse market phases, not to generate constant trade signals.
⸻
Signal Logic (Long & Short)
A signal is generated only when all core conditions align:
• Trend filter: Price relative to a rising / falling EMA
• Breakout condition: Close above / below a defined lookback high or low
• Volume confirmation: Simultaneous volume spike and volume extreme
• Momentum filter: Rate of Change (ROC) exceeding a threshold
• RSI range filter: Prevents entries in overextended conditions
• Optional: Relative strength vs. BTC (useful for crypto markets)
⸻
Signal Quality Grading
Each signal is internally scored using breakout strength, volume expansion, and momentum acceleration, then classified into quality tiers:
• B → valid but moderate setup
• A → strong momentum
• A+ → high-impulse, high-conviction setup
A global minimum grade filter allows focusing only on higher-quality signals (e.g. A / A+).
⸻
Multi-Timeframe Engine
Up to 8 configurable timeframes are evaluated in parallel:
• A dynamic table displays the most recent signal per timeframe, sorted by recency
• Chart labels mark new signals directly on price
• Alerts can be filtered by timeframe, direction, and signal quality
All calculations are performed on confirmed candles only.
⸻
Confluence Detection
The script also detects multi-timeframe confluence, identifying periods where several timeframes signal momentum within a defined time window:
• Customizable window (minutes / hours / days)
• Minimum number of aligned signals
• Optional separate Long / Short counting
• Visual heat labels and histogram
• Dedicated confluence alert with cooldown logic
This helps identify moments when momentum is stacking across timeframes rather than appearing in isolation.
⸻
Alerts
• Individual timeframe alerts (Long / Short, grade-filtered)
• Bundled alerts with full context (TF, direction, grade, close, timestamp)
• Separate confluence alerts (rising-edge detection)
For detailed notifications, the “Any alert() function call” alert type is recommended.
⸻
Intended Use
• Momentum and breakout trading
• Multi-timeframe market analysis
• Crypto, indices, forex, and equities
• Discretionary traders who prioritize signal quality over frequency
⸻
Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice.
All signals, grades, and visual elements are analytical tools, not trade recommendations.
Trading financial markets involves substantial risk, and past performance is not indicative of future results.
You are solely responsible for your trading decisions, risk management, and compliance with local laws and regulations.
The author assumes no liability for any losses, damages, or outcomes resulting from the use of this indicator.
Always conduct your own analysis and, if necessary, consult a licensed financial professional before making trading decisions.
Mean Absolute Error | Lyro RSThe Mean Absolute Error indicator is a modular technical analysis tool designed to analyze price volatility, trend strength, and reversal potential through the application of Mean Absolute Error across various dynamic contexts. This script operates in three configurable modes: Cloud, For Loop, and StochTrend. Each mode leverages the MAE framework in a unique way to assist traders in identifying actionable market conditions based on volatility-adjusted benchmarks.
This indicator provides a layered perspective on market activity by integrating MAE-based bands, trend tracking logic, and oscillatory behavior analysis into one tool. It supports a customizable moving average backend, enabling compatibility with multiple smoothing techniques. Additionally, the script features divergence detection, signal tables, and multi-scheme color options for visual clarity. By presenting these elements in an integrated display, it facilitates multi-dimensional decision-making from a single chart pane.
The originality of this script lies in its flexible application of the MAE concept across distinct analytical methods. Rather than using MAE as a static volatility measure, the script retools it into adaptive mechanisms across its three modes. In Cloud mode, it defines upper and lower MAE bands around a selected moving average. In For Loop mode, it iterates over a defined range to accumulate directional bias, treating MAE as a base for loop-weighted price transformation. In StochTrend mode, MAE is fused into a stochastic framework, with divergence detection and dynamic background coloring. These features make the indicator structurally original, emphasizing modularity and analytical depth.
Input and Feature Explanation
General Indicator Settings
Source
Signal Mode: Determines the operating mode:
Cloud: Uses MAE to define volatility bands above and below a moving average.
For Loop: Performs loop-based directional scoring using MAE-weighted price.
StochTrend: Integrates MAE into a stochastic oscillator to evaluate trend momentum.
Cloud Mode (MAE Bands)
Select Moving Average
Cloud Length
For Loop Mode (Directional Accumulation)
Select Moving Average
Length
From / To
Threshold Long / Short
StochTrend Mode (MAE in Oscillatory Context)
Select Moving Average
Length
Smoothening
Color Configuration
Custom Color Palette
Use Custom Palette
Custom Up / Down Colors
Table Display Options
Force Table Overlay
MAE Modules Table Position
Table Size
Features and Behavior
Dynamic MAE Banding (Cloud Mode)
Directional Score Accumulation (For Loop Mode)
MAE-Driven Stochastic Oscillator (StochTrend Mode)
Divergence Detection
Visual Feedback System
Integrated Table
Summary
The Mean Absolute Error script presents a sophisticated implementation of the MAE concept across three distinctive analytical approaches: volatility banding, loop-based trend scoring, and oscillator integration. Its modular design allows users to switch modes seamlessly while customizing the behavior and aesthetics of each method. The addition of divergence detection and adaptive visual cues enhances the indicator’s analytical richness. This tool is well-suited for traders seeking a configurable framework that applies volatility measures in both trend-following and mean-reversion contexts.
⚠️ Disclaimer
This indicator is intended for technical analysis and educational purposes only. It does not guarantee results and should be used alongside proper risk management and additional analysis. The creator is not responsible for any financial decisions made using this tool.
AuraAura - Premium Adaptive Trend System
Aura is an advanced trend intelligence system engineering for precision market analysis. Unlike static indicators, Aura features a Smart Adaptive Engine that automatically calibrates its sensitivity based on your selected timeframe, ensuring optimal performance across different trading styles.
Key Innovations:
* Smart Adaptive Engine: Automatically detects your timeframe (Scalping, Day Trading, or Swing) and adjusts internal parameters to filter noise and capture true momentum.
* Gold-Optimized Logic: Specifically tuned for high-volatility assets like XAUUSD, utilizing a deviation multiplier of 2.5 to eliminate false signals and fakeouts.
* Dynamic Trend Ribbon: A visually immersive ribbon that expands and contracts with volatility, painting a clear picture of market dominance (Blue for Bullish, Red for Bearish).
* Institutional EMAs: Integrated institutional moving averages (50, 100, 200) provide immediate long-term context without cluttering the chart.
* Precision Signals: Reversal signals are generated only when confirmed by the smoothed baseline, reducing premature entries.
Operational Guide:
1. Select Timeframe: Simply switch between 5m, 1H, or Daily. Aura automatically optimizes itself.
2. Identify Trend: Trade in the direction of the Ribbon color.
3. Execute: Use the "UP" and "DOWN" signals as clear entry triggers.
QuantRX SuperTrendQuantRX SuperTrend Lite is a clean, non-repainting SuperTrend indicator that visualizes trend state using an ATR-based trailing band. It plots one active line on the chart: the finalized lower band during bullish trend state and the finalized upper band during bearish trend state, using classic SuperTrend band-finalization rules.
Inputs: Price Source, ATR Length, and ATR Multiplier.
Optional display: neutral “Trend Up / Trend Down” flip markers and an optional transparent magenta/purple background tint to reflect the current trend state.
Optional alerts: “Trend Up” and “Trend Down” can be enabled for trend flips only (neutral wording).
This script is intended as a simple trend-state visualization tool. It does not generate buy/sell signals, entries/exits, targets, or performance claims, and it does not include dashboards or automation logic. Use it as a chart overlay to help interpret directional context across any market and timeframe.
High and Low levels Dashboard - PMH PDH PML PDL overview This indicator is a high-performance multi-asset monitoring terminal designed for intraday traders.
It provides real-time visibility into price action, volume anomalies, and key institutional levels across 13 customizable tickers simultaneously. By centralizing critical data points into a single interface, it eliminates the need for manual chart switching and enhances situational awareness during high-volatility sessions.
Core Objectives
Institutional Level Tracking: Monitors price proximity to Previous Day High/Low (PDH/PDL) and Pre-market High/Low (PMH/PML), which serve as primary liquidity zones.
Volume Analysis: Integrated Relative Volume (RVOL) identifies symbols experiencing unusual institutional participation compared to their 20-day average.
Trend Synthesis: Aggregates multiple price-location factors to provide a definitive directional bias for each asset.
Key Components and Functionality
1. Price and Momentum (Price / % Chg)
Displays current market price and percentage change from the previous day's close. This allows for immediate identification of the day's leaders and laggards.
2. Relative Volume (RVOL)
Calculates the ratio between current volume and average volume.
RVOL > 1.0: Higher than average activity; confirms the validity of price moves.
RVOL > 2.0: Significant institutional "effort," often leading to sustained breakouts or reversals.
3. Progression Bars (PMH / PDH / PML / PDL)
These 8-segment visual scales represent the price's journey from the market open toward a specific target level.
Partial Fill (█░░░): Price is far from the target.
Full Fill (████): Price is nearing the level.
Status Indicator (●): The level has been breached. This transition marks a shift from a "range-bound" state to a "breakout" state.
4. Trend Column
The final column synthesizes the overall technical state:
Upward Triangle (▲): Bullish. Price has cleared key resistance levels (PDH or PMH).
Downward Triangle (▼): Bearish. Price has dropped below key support levels (PDL or PML).
Caution Sign (⚠): Neutral/Choppy. Price is trapped within the previous day's range. This signifies a lack of clear direction and high risk for "washouts."
Strategic Application
Step 1: Contextualize the Market Check the ETF section (SPY/QQQ/IWM) at the bottom of the dashboard. If the broad market is neutral (⚠), individual stock breakouts (▲) are more likely to fail. Align your trades with the overall market trend.
Step 2: Identify High-Probability Setups Look for a "Confluence of Strength": A ticker showing a green percentage change, an RVOL above 1.5, and a Status Indicator (●) on its PDH/PMH columns. This indicates a high-conviction breakout.
Step 3: Risk Management Use the progression bars to anticipate reversals. If a stock is at its PMH but the RVOL is low, the move may lack the necessary volume to sustain a breakout, suggesting a potential "fake-out" or mean-reversion trade.
This indicator is for information only. It does not provide any financial advice.
Apex Wallet - Ultimate Trend Meter: 9-in-1 Multi-Layer Momentum Overview The Apex Wallet Trend Meter is an advanced decision-making dashboard designed to provide a comprehensive view of market conditions without cluttering your main price chart. It synthesizes complex data from 9 different technical sources into a clean, horizontal visual grid, allowing traders to spot confluence at a single glance.
The Power of Confluence Instead of switching between multiple oscillators, this tool monitors:
Triple EMA Structure: Tracks Short, Medium, and Long-term trend directions.
Momentum Suite: Real-time status of RSI, Stochastic, and StochRSI.
Advanced Analyzers: Includes MACD (Line/Signal), TDI (Traders Dynamic Index), and the Andean Oscillator for trend exhaustion and volatility states.
Smart Delta Net: A sophisticated Volume Delta engine that filters market noise through customizable modes (Buy/Sell, Neutral, or Automatic).
Key Features:
Adaptive Trading Presets: One-click selection for Scalping, Day-Trading, or Swing-Trading. The script automatically recalibrates all 9 indicator periods to fit your timeframe.
Market Bias Filtering: Indicators are color-coded based on their alignment with the global market trend. Signals only turn Bullish or Bearish when they align with the master trend EMA.
Dynamic Delta Grid: Displays scaled net volume values directly inside the grid for precise institutional flow tracking.
Fully Customizable UI: Toggle any layer on/off and adjust the layout density to match your workspace.
How to use: Look for "Vertical Confluence." When multiple layers turn the same color simultaneously, it indicates a high-probability momentum shift.
ICT Flow Matrix [Ultimate]📊 Overview
ICT Flow Matrix is a comprehensive, all-in-one Smart Money Concepts (SMC) indicator built for traders who follow ICT (Inner Circle Trader) methodology. This indicator consolidates over 15 institutional trading concepts into a single, highly customizable tool—eliminating chart clutter from multiple indicators while providing deep market structure analysis.
Whether you're identifying liquidity pools, tracking order flow, or timing entries during ICT Macro windows, this indicator delivers institutional-grade analysis directly on your chart.
Pro Tip: use with ICT Market Regime Detector for clear language reads on everything.
⚡ Key Features
🎯 Price Delivery Arrays (PDAs)
Fair Value Gaps (FVG) — Automatic detection with customizable mitigation tracking (Wick Touch, 50% CE, Full Close)
Inverse FVGs (iFVG) — Identifies when FVGs fail and flip, creating new tradeable zones
Order Blocks (OB) — Last opposing candle before impulsive moves with adjustable impulse strength
Breaker Blocks (BB) — Automatically generated when Order Blocks fail
Rejection Blocks (RB) — Strong wick rejections indicating institutional defense
Volume Imbalances (VIMB) — Gaps between candle bodies showing aggressive institutional activity
📐 Market Structure & Liquidity
Market Structure Shifts (MSS) — Real-time detection of bullish/bearish structure breaks
Equal Highs/Lows (EQH/EQL) — Liquidity pools where stop losses accumulate
Buy-Side/Sell-Side Liquidity (BSL/SSL) — Swing point liquidity levels with sweep detection
Premium/Discount Zones — Visual shading showing institutional buying/selling areas
OTE Zone (61.8%-79%) — Optimal Trade Entry zone for high-probability entries
⏰ Time-Based Analysis
ICT Macro Times — All nine 30-minute algorithmic windows (02:45, 03:45, 04:45, 09:45, 10:45, 13:45, 14:45, 15:15, 15:45 NY Time)
Killzone Sessions — Asia, London, NY AM, NY PM with customizable times
Session Opens — Weekly, Monthly, Daily opening prices
Previous Period H/L — PDH/PDL, PWH/PWL, PMH/PML levels
📏 Dealing Ranges
Multi-Timeframe Ranges — 21-Day, 3-Day, Daily dealing ranges
Session Ranges — Asia, London, NY dealing ranges with equilibrium
Fibonacci Structure — 0%, 50% (EQ), 100% levels with P/D shading
🕯️ HTF Orderflow
Higher Timeframe Candles — Display up to 6 HTF candles with auto-timeframe selection
Candle Timer — Countdown to next HTF candle close
O/H/L Reference Lines — Current HTF open, high, low levels extended on chart
🎨 Visual Customization
5 Theme Presets — Dark Pro, Light Clean, Neon, Classic, Custom
Full Color Control — Customize every element individually
Zone Styles — Filled or Border Only options
Mitigation Effects — Visual fade when zones are mitigated
📋 Smart Dashboard
Real-Time Status — Structure bias, zone position, active session, OTE status
Confluence Score — Algorithmic scoring when multiple concepts align
Zone Counters — Active FVG, OB, BB, RB, VIMB, liquidity levels
3 Display Modes — Minimal, Compact, Detailed
🔔 Comprehensive Alert System
40+ Alert Conditions including:
FVG/OB/BB/RB/VIMB formation
Liquidity sweeps (EQH, EQL, BSL, SSL)
Market Structure Shifts
OTE zone entry
Macro time windows
Session opens
High confluence zones
Combo alerts (Macro + Confluence)
📖 How To Use
For Swing/Position Traders:
Enable HTF Orderflow to identify dominant trend direction
Use Dealing Ranges (3D, 21D) to find premium/discount zones
Look for OB/FVG confluence in discount (longs) or premium (shorts)
Confirm with MSS for trend alignment
For Day/Intraday Traders:
Mark the Asian Range during pre-market
Wait for London or NY AM Killzone
Enter during ICT Macro windows when price reaches FVG/OB in OTE zone
Target opposite liquidity (BSL for longs, SSL for shorts)
Confluence Trading:
Dashboard shows real-time confluence score
Score ≥ 3 indicates multiple ICT concepts aligned
Higher scores = higher probability setups
⚙️ Recommended Settings
Trading Style FVG Max OB Max History Bars HTF Candles
Scalping 3-5 2-3 100-200 3-4 Day Trading 5-8 3-5 200-400 4-5
Swing Trading 8-12 5-8 400-800 5-6
🎯 Best Practices
✅ Do:
Use HTF bias before taking LTF entries
Wait for Macro time windows for highest probability
Combine MSS + FVG/OB + OTE for A+ setups
Let mitigated zones fade (use Mitigation Fade setting)
❌ Avoid:
Trading against HTF structure
Entries outside Killzones (lower probability)
Ignoring liquidity targets
Over-cluttering chart (disable unused features)
📝 Version History
v6.0 (Current)
Complete rewrite in PineScript v6
Added ICT Macro Times with bracket/background styles
Enhanced confluence detection algorithm
Improved HTF candle rendering with multiple styles
Added Inverse FVG detection
Session-based Dealing Ranges
Performance optimizations
40+ alert conditions
⚠️ Disclaimer
This indicator is a technical analysis tool designed to visualize ICT/SMC concepts. It does not provide financial advice or guarantee profitable trades. Past performance is not indicative of future results. Always use proper risk management and trade responsibly.
💬 Support & Feedback
If you find this indicator valuable, please leave a comment or boost! Your feedback helps improve future updates.
Questions? Drop a comment below—I actively respond to all questions about the indicator's features and usage.
ICT Market Regime Detector [TradeHook]🔮 Overview
The **ICT Market Regime Detector** is an advanced market condition classifier designed to identify the current market environment and provide context-aware trading guidance. Rather than generating buy/sell signals, this indicator focuses on answering the crucial question: *"What type of market am I trading in right now?"*
Understanding market regime is fundamental to successful trading. The same strategy that works brilliantly in a trending market can fail spectacularly during consolidation. This indicator automatically classifies market conditions into one of eight distinct regimes, each requiring different trading approaches.
---
🎯 Regime Classifications
The indicator identifies these market states:
| Regime | Description | Recommended Approach |
|------------------------|--------------------------------------------------|--------------------------------------|
| *STRONG TREND* |Directional momen. w/ healthy struc| Cont.entries with OTE pullbacks |
| **WEAK TREND** | Gradual drift with retracements | Conservative Order Block entries |
| **ACCUMULATION** | Institutional buying within range | Longs near range lows |
| **DISTRIBUTION** | Institutional selling within range | Shorts near range highs |
| **CONSOLIDATION** | Tight range, low volatility squeeze | Wait for breakout |
| **EXPANSION** | Volatile breakout phase | Momentum following |
| **REVERSAL** | Structural transition period | Wait for confirmation |
| **CHOPPY** | No clear edge | **Avoid trading** |
---
⚙️ How It Works
**Trend Analysis Engine**
- Calculates ADX (Average Directional Index) using Wilder's smoothing method
- Monitors +DI/-DI for directional bias
- Detects trend health via EMA alignment
- Identifies exhaustion through RSI divergence
**Volatility Analysis Engine**
- Measures current vs historical volatility ratio
- Classifies as LOW, NORMAL, HIGH, or EXTREME
- Tracks volatility expansion/contraction phases
**Range Analysis Engine**
- Calculates dynamic support/resistance boundaries
- Tracks price position within range (0-100%)
- Detects range narrowing (squeeze) and expansion patterns
**Institutional Activity Detection**
- Volume spike identification
- Absorption candle patterns (large wicks, small body)
- Displacement candles (large body, small wicks)
- Accumulation/Distribution pattern recognition
---
🛡️ Risk Management Features
**Daily Loss Limit**
- Set maximum daily loss as percentage of account
- Visual warning when approaching limit
- Alert when limit is breached
**Maximum Daily Trades**
- Configurable trade counter per session
- Prevents overtrading
- Session reset options (NY Open, London Open, etc.)
**Trading Readiness Checklist**
- Clear regime ✓/✗
- Kill zone active ✓/✗
- HTF alignment ✓/✗
- Volatility normal ✓/✗
- Loss limit OK ✓/✗
- Trades remaining ✓/✗
---
📊 Multi-Timeframe Analysis
The indicator includes 4H timeframe regime alignment to ensure lower timeframe setups align with higher timeframe bias. Trades taken with HTF alignment historically have higher probability.
---
⏰ Kill Zone Integration
Built-in ICT Kill Zone detection:
- 🌙 Asian Session (Range Building)
- 🇬🇧 London Open (Prime Execution)
- 🇺🇸 NY AM (Prime Execution)
- 🔫 Silver Bullet (10-11 AM EST)
- 🇺🇸 NY PM (Afternoon Opportunities)
Configurable UTC offset for your timezone.
---
🎨 Visual Features
- **Regime-Colored Bars** - Instantly see current market state
- **Comprehensive Dashboard** - All metrics in one panel
- **Adjustable Table Size** - Tiny/Small/Normal/Large
- **Flexible Positioning** - Place dashboard in any corner
- **Optional Regime Labels** - Mark regime changes on chart
---
⚠️ Important Notes
1. This indicator is a **decision support tool**, not a signal generator
2. Always combine with proper price action analysis
3. Past regime identification doesn't guarantee future performance
4. Risk management settings are for tracking purposes only - actual position management should be done through your broker
5. The indicator works best on liquid markets with consistent volume data
---
📚 Educational Purpose
This indicator is designed for educational purposes to help traders understand market structure and regime classification. It implements concepts from ICT (Inner Circle Trader) methodology including:
- Market structure analysis
- Kill zone timing
- Institutional activity patterns
- Multi-timeframe confluence
---
🔧 Inputs Summary
**Master Toggles**
- Enable/Disable indicator, regime detection, recommendations, risk management, alerts
**Core Settings**
- Analysis lookback periods (short/medium/long)
- ADX thresholds for trend classification
- Volatility spike multiplier
**Risk Management**
- Max daily loss percentage
- Max daily trades
- Account size for P&L calculation
- Session reset timing
**Visualization**
- Dashboard on/off and position
- Regime zones and labels
- Bar coloring
- Table text size
---
💡 Tips for Use
1. **Don't trade CHOPPY regimes** - The indicator explicitly warns when no edge exists
2. **Respect the checklist** - Trade only when multiple conditions align
3. **Adjust ADX thresholds** - Different instruments may require fine-tuning
4. **Monitor regime duration** - Fresh regime changes often present the best opportunities
5. **Use with other TradeHook indicators** - Designed to complement the MTMGBS system
⚖️ DISCLAIMER
This indicator is for **educational and informational purposes only**. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always conduct your own analysis and consult with a qualified financial advisor before making trading decisions.
Volume-Edge Trend [wjdtks255]🚀 Volume-Edge Trend
1. Overview This indicator is designed to capture high-probability trend reversals by combining Market Structure Breakouts with Volume Confirmation. Instead of chasing every price movement, it analyzes the highest highs and lowest lows over a set period to identify true structural shifts. By filtering these moves with a 20-period volume average, it effectively eliminates weak "fakeouts" and focuses on high-conviction momentum.
2. How to Trade
📈 LONG Entry: * Enter when a green BUY label appears below the candle.
This signal confirms that price has broken above the previous structural high with significant buying volume.
💀 SHORT Entry: * Enter when a red SELL label appears above the candle.
This signal confirms that price has breached the previous structural low, backed by strong selling pressure.
🎯 Exit (TP/SL):
Use the thick, dynamic Trend Line as your trailing stop-loss.
For Longs, exit if the price closes below the green support line.
For Shorts, exit if the price breaks above the red resistance line.
3. Key Features
Structural Breakout Engine: Tracks price action across a customizable "Length" to detect when a market moves out of a consolidation zone.
Volume Surge Filter: Includes a built-in toggle to ensure signals only fire when trading volume exceeds its 20-period average, confirming institutional participation.
Real-time Trend Navigation: Features a dynamic background fill and a reinforced trend line that provides instant visual feedback on the current market bias.
4. Recommended Settings
Length (Analysis Period): 14 (Optimized for standard trend following).
Volume Filter: Keep "On" to maximize signal accuracy.
Timeframe: Highly effective on 15m, 1H, and 4H charts for volatile assets like BTC, ETH, and NASDAQ.
HMA Trend Scalper [wjdtks255]🚀 HMA Trend Scalper V1: Ultimate Precision Strategy
1. Overview
This indicator captures immediate market trend reversals based on the high-responsiveness of the HMA (Hull Moving Average). It doesn't just show direction; it simultaneously calculates ATR-based volatility to generate optimal Take Profit (TP) and Stop Loss (SL) lines in real-time.
2. How to Trade
🚀 LONG Entry:
The HMA line must be Green, and the price must be positioned above the line.
Enter when the price breaks above the high of the last 5 bars and the 🚀 LONG label appears.
💀 SHORT Entry:
The HMA line must be Red, and the price must be positioned below the line.
Enter when the price breaks below the low of the last 5 bars and the 💀 SHORT label appears.
🎯 Exit (TP/SL):
Close the position immediately when the price touches the Aqua line (TP) or the Yellow line (SL).
3. Key Features
Smart Cleaning: By enabling the 'Hide Past Records' option, the indicator automatically removes previous labels and lines when a new signal occurs, keeping your chart clean and focused.
Real-time Tracking: TP and SL lines extend candle-by-candle as the price moves, providing superior readability for active trades.
High Visibility: Status panels like 🎯 TP Hit or ⚠️ SL Hit are generated upon trade completion, allowing you to intuitively track your trading results.
4. Recommended Settings
Sensitivity: 15 (Optimized for Scalping).
TP/SL Multipliers: Fully customizable to fit your personal risk-to-reward strategy.
Apex Wallet - Ultimate Trading Suite: All-In-One Overlay & SignaOverview The Apex Wallet All-In-One is a comprehensive professional trading toolkit designed to centralize every essential technical analysis tool directly onto your main price chart. Instead of cluttering your workspace with dozens of separate indicators, this script integrates trend analysis, volatility bands, automated chart patterns, and a multi-indicator signal engine into a single, cohesive interface.
Key Modular Features:
Trend Core: Features dynamic trend curves, cloud fills for momentum visualization, and a multi-timeframe dashboard (1m to 4h) to ensure you are always trading with the higher-timeframe bias.
Automated Chart Structures: Automatically detects and plots Support/Resistance levels, Standard Pivot Points, Market Gaps, and Fair Value Gaps (Imbalances).
Volatility & Volume: Includes professional-grade VWAP with standard deviation bands, Bollinger Bands, and a built-in Volume Delta (Raw/Net) tracker.
Signal Engine: A powerful cross-logic system that generates entry signals based on RSI (QQE), MACD (Zero-cross & Relance), Stochastic, TDI, and the Andean Oscillator.
Predictive Projections: A unique feature that projects current indicator slopes into future candles to help anticipate potential trend continuations or reversals.
Adaptability The script includes three core presets—Scalping, Day-Trading, and Swing-Trading—which automatically adjust all internal periods (Moving Averages, Bollinger, RSI, etc.) to match your specific market speed.
Visual Cleanliness Every feature is toggleable. You can display a "clean" chart with just the Trend Cloud or a "complete" workstation with signals, patterns (Doji, Engulfing), and pivot levels
Apex Wallet - Ultimate Multi-Oscillator (9-in-1) & Market TrendThe Apex Wallet Multi-Oscillator is a powerful "All-in-One" technical analysis tool designed to clean up your charts by combining nine of the most effective momentum and trend indicators into a single workspace. This script is engineered to adapt to different trading styles—Scalping, Day-Trading, or Swing-Trading—with a single click.
+4
Whether you are looking for trend exhaustion, momentum shifts, or volatility breakouts, this indicator provides a clear, visual summary of market dynamics.
+1
Key Features
9 Indicators in 1: Access RSI, Stochastic, StochRSI, MACD, Zero-Lag MACD, Andean Oscillator, and the Traders Dynamic Index (TDI).
+1
Smart Layout Modes:
Raw (Brut): Classic view with original values.
+1
Stacked (Empilé): Organizes indicators into fixed vertical zones to prevent overlapping.
+1
Proportional Stacking: Automatically calculates and adjusts the height of blocks based on active oscillators.
+2
Trading Presets: Switch between Scalping, Day-Trading, and Swing-Trading modes. The script automatically adjusts periods and lengths (e.g., RSI 7 for Scalping vs. 21 for Swing) to match the market speed.
+3
Included Oscillators
Stochastic & RSI: Standard momentum tools with color-coded signals.
Traders Dynamic Index (TDI): A full suite including the RSI Price Line, Signal Line, and Market Base Line with optional Bollinger Bandwidth columns.
+1
MACD & Zero-Lag MACD: Includes histogram fills and trend-colored lines for faster reaction to price movement.
+2
Andean Oscillator: An advanced tool to identify Bull/Bear dominance and market "Range" or "Reversal" states.
Visual Signals & Alerts
Market Trend: Optional visual coloring based on indicator crosses to quickly spot bullish or bearish momentum.
+3
Customizable UI: High-fidelity rendering with dashed levels and proportional fills for a professional, clean interface.
+1
Integrated Alerts: Pre-configured alerts for Andean Oscillator trend changes (Bullish, Bearish, or Reversal).
How to use
Select your Trading Mode in the settings based on your timeframe.
Toggle the indicators you want to see.
Use the Stacked mode if you want to keep your sub-window organized without lines crossing each other.
Position Management Intelligence ProPosition Management Intelligence Pro is a post-entry position management indicator designed to help traders evaluate the quality and risk of an open trade using a structured, rule-based state engine.
This script does not generate buy or sell entries. It analyzes price behavior after entry to classify the trade environment into one of five management states:
HOLD
TRIM
MOMENTUM FADING
RISK RISING
EXIT RISK
Core Concepts Used
The indicator combines four market dimensions:
1. Momentum Quality
Measured using:
Direction of a fast EMA (20)
Price position relative to the fast EMA
Logic:
Rising EMA + price above EMA → positive momentum
Falling EMA + price below EMA → negative momentum
This avoids using oscillators and instead focuses on trend structure.
2. Market Participation (Volume)
Participation is evaluated by comparing current volume to a 20-period volume average:
Strong participation = volume > 1.3 × average
Weak participation = volume < configurable fraction of average
This helps distinguish healthy continuation from low-commitment moves.
3. Volatility Expansion (Risk Detection)
ATR (14) is compared to its own moving average:
Volatility spike is detected when current ATR exceeds its average by a multiplier depending on trading mode (Intraday / Swing / Positional)
This highlights environments where risk is increasing even if price direction has not yet reversed.
4. Effort vs Result (Distribution Risk)
A classical Wyckoff-style concept:
High volume
Small price change relative to ATR
This condition signals potential absorption or distribution, indicating that large participants may be exiting into strength.
State Engine Logic (Simplified)
The script uses deterministic rules to classify each bar:
EXIT RISK → Effort-vs-result condition detected
RISK RISING → Volatility expansion detected
TRIM → Negative momentum + weak participation
MOMENTUM FADING → Negative momentum only
HOLD → Positive momentum with strong participation
Each state is calculated on bar close and does not repaint.
Trading Modes & Risk Profiles
The indicator allows users to adapt the behavior of the risk engine using two configuration layers:
Trading Modes
These adjust how sensitive the system is to volatility expansion based on the intended holding period:
Intraday
Uses lower ATR thresholds
Detects volatility expansion earlier
Designed for short-term trades where risk changes quickly
Swing
Balanced volatility sensitivity
Default mode
Suitable for multi-day trades
Positional
Uses higher ATR thresholds
Filters out short-term noise
Designed for longer holding periods and wider price swings This affects how aggressively the script flags the RISK RISING state.
Risk Profiles
Risk profiles adjust how the script interprets market participation (volume weakness):
Aggressive
Tolerates lower volume before flagging weakness
Produces fewer TRIM / warning states
Balanced
Neutral sensitivity
Default setting
Conservative
Flags weak participation earlier
Produces earlier warnings during trend deterioration This influences the detection of momentum weakening and trimming conditions.
Dashboard & Confidence Metric
The dashboard summarizes:
Trading mode
Risk profile
Current state
State duration
A perception-based “confidence” score
The confidence score is not predictive and not a probability. It is a normalized representation of how favorable the current trade environment is based on the above factors.
Intended Use
This indicator is designed to be applied after entering a trade to:
Detect weakening trends
Identify increasing risk
Highlight distribution conditions
Support partial exits and risk reduction decisions
It is not a signal generator and should be used alongside the trader’s own entry strategy.
Disclaimer
This script is for educational and analytical purposes only and does not constitute financial advice.
EMA Forecast [QuantAlgo]🟢 Overview
The EMA Forecast extends traditional Exponential Moving Average analysis by projecting potential future EMA values up to 20 bars ahead. Unlike conventional dual-EMA systems that only display historical crossovers and trend states, this indicator uses three proprietary forecasting models, each analyzing different market dimensions (structure, volume dynamics, or mathematical trend), to explore potential price paths and calculate how the fast and slow EMAs might evolve. This approach allows traders to form probabilistic expectations about future trend states, crossover timing, and momentum shifts across various asset classes and timeframes.
🟢 How It Works
The indicator operates through a multi-stage calculation process that projects EMA trajectories forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each examining different market characteristics (structural patterns, volume accumulation/distribution, or linear trend progression). These projected prices then undergo a dynamic oscillation process that applies realistic volatility scaled by ATR (Average True Range), simulating natural price movement patterns rather than producing unrealistic smooth projections. Finally, the system performs iterative EMA calculations using the standard exponential formula, feeding each forecasted price sequentially through both the fast and slow EMA algorithms to generate continuous projected values while maintaining mathematical consistency with the historical EMAs.
The forecasting engine recalculates projections on every bar update (or confirmed bar, based on settings), adapting to evolving market conditions through configurable lookback periods. The implementation preserves the mathematical integrity of EMA calculations while extrapolating trend trajectories, creating visual continuity between historical solid EMA lines and forecasted semi-transparent dashed lines that extend beyond the current bar.
🟢 Key Features
1. Market Structure Model
This algorithm applies smart money concepts and price action analysis by identifying break of structure (BOS) and change of character (CHoCH) patterns to determine potential directional bias. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs and lower lows to establish bullish or bearish structure states. When structure is bullish and price approaches recent swing lows, the forecast projects potential moves higher scaled by ATR and trend strength. Conversely, bearish structure near swing highs projects downward bias. In neutral structure states, the algorithm reverts to mean-reversion logic, projecting toward the midpoint between recent structural extremes.
▶ Practical Implications:
Explores potential EMA behavior during structural trend continuation
Identifies scenarios where structure breaks might influence EMA crossovers
Could be useful for swing traders and position traders who incorporate order flow and liquidity concepts
The Structure Influence parameter allows blending between pure trend following and structure-weighted forecasts
Helps visualize potential trend exhaustion when structure weakens or reverses
May assist in anticipating false breakouts when structure contradicts price direction
2. Volume-Weighted Model
This model synthesizes multiple volume-based metrics to assess potential capital flow and institutional activity. The algorithm combines On-Balance Volume (OBV) slope analysis, Accumulation/Distribution Line trajectory, volume-weighted returns, and volume spike detection above customizable thresholds. When all volume indicators align directionally (positive OBV slope, rising A/D line, positive volume momentum), the forecast projects stronger potential moves in that direction, reflecting significant accumulation or distribution. Volume spikes above the threshold trigger additional directional adjustments scaled by ATR. When volume metrics diverge from price trends, the forecast suggests potential consolidation or reversal scenarios.
▶ Practical Implications:
Incorporates institutional footprint analysis into EMA trend forecasting
Attempts to distinguish between price moves supported by volume versus those that may lack follow-through
Could be particularly relevant in markets where volume data is reliable and significant
Volume Influence parameter enables adaptation to different market microstructures and liquidity profiles
Highlights potential accumulation/distribution phases that might precede major EMA crossovers
May help filter low-volume price noise that creates false EMA signals
Could be valuable for traders who require volume confirmation before acting on trend signals
3. Linear Regression Model
This mathematical approach applies least-squares regression fitting to project simple trend trajectories based on recent price history. The algorithm calculates the best-fit line through the lookback period and extrapolates it forward using the regression equation, providing straightforward trend continuation forecasts without conditional logic or market-state dependencies.
▶ Practical Implications:
Delivers reproducible forecasts based on statistical principles
Performs well in established trending markets with clear directional bias
Minimal parameter sensitivity (primarily controlled by lookback period length)
Computationally efficient with fast recalculation suitable for multi-timeframe analysis
Serves as a neutral baseline to compare against the more complex structure and volume methods
Provides simpler forecasts in low-noise environments without the assumptions inherent in smart money or volume analysis
🟢 Universal Applications Across All Models
Each forecasting method projects potential future EMA values (both fast and slow lines), which traders can use to:
▶ Anticipate potential crossovers: Visualize possible bullish or bearish EMA crosses several bars ahead, enabling proactive position planning rather than reactive trade execution
▶ Explore trend continuation scenarios: Assess whether current trends might maintain separation between EMAs or converge toward crossover zones
▶ Plan entry timing: Identify potential optimal entry points along the forecasted EMA trajectory, such as price pullbacks to the forecasted fast EMA in uptrends
▶ Evaluate trend strength: Monitor the distance between forecasted fast and slow EMAs as a proxy for potential momentum sustainability
▶ Develop systematic strategies: Build rules based on forecasted crossover timing, EMA slope changes, or convergence/divergence patterns
▶ Adapt to market conditions: Switch between forecasting methods based on current market character, e.g., structure method for range-bound or reversal markets, volume method for liquidity-driven moves, linear regression for clean trending environments
▶ Assess risk/reward: Use forecasted EMA levels as potential dynamic support/resistance for stop-loss placement and profit target estimation
▶ Combine with other indicators: Layer forecasted EMA crossovers with momentum oscillators, volatility bands, or volume profiles for multi-confirmation setups
The indicator includes extensive customization options: adjustable EMA periods, forecast volatility control to simulate realistic or smooth price movement, realtime bar inclusion toggle, multiple color presets, optional bar coloring, crossover signal triangles, configurable transparency, and built-in alerts.
As with all technical analysis tools, these forecasts represent potential scenarios based on current data and chosen methodologies. They should be integrated into a comprehensive trading plan that includes risk management, fundamental analysis, and multiple timeframe confirmation rather than used as standalone predictive signals. Market conditions can change rapidly, and no forecasting algorithm can account for unexpected news events, regime shifts, or black swan occurrences. The true benefit lies not in expecting precise forecasts but in developing a forward-thinking perspective on possible market conditions and planning your responses accordingly.
[xProfit] Trend Pulse MTF Trend Pulse MTF — Multi-Timeframe Momentum Oscillator
Trend Pulse MTF is an advanced momentum oscillator that aggregates multiple technical indicators across various timeframes to provide a comprehensive market analysis. The indicator combines RSI, Wave Trend, Bollinger Bands Trend, and Laguerre RSI into a single normalized momentum value, helping traders identify overbought/oversold conditions, trend direction, and potential reversal points with high precision.
The indicator displays data from five timeframes (30M, 1H, 4H, 1D, 1W) simultaneously, allowing traders to align their trades with higher-timeframe trends while optimizing entry timing on lower timeframes.
Key Features
• Multi-Indicator Aggregation: Combines 4 different momentum indicators (RSI, Wave Trend, BBTrend, Laguerre RSI) into one normalized value.
• Multi-Timeframe Analysis: Displays momentum data from 5 timeframes (30M, 1H, 4H, 1D, 1W) to identify trend alignment and confluence.
• 8-Color Confluence Histogram: 8 distinct colors represent various combinations of trend directions on the 30M, 1H, and 4H timeframes for instant visual clarity.
• Dynamic Signal Line: An EMA-based signal line that changes color based on the 1D trend direction, helping to identify trend shifts and crossovers.
• Extreme Zone Detection: Automatic identification of FOMO (Overbought) and FEAR (Oversold) zones across multiple timeframes.
• MTF Dashboard: A real-time on-chart table (best viewed on 1H) showing values, EMA difference, and trend direction for all major timeframes.
• Adaptive Normalization: BBTrend values are automatically normalized based on the current chart timeframe for consistent and reliable readings.
• Webhook Integration: Built-in support for automated trading alerts with detailed multi-timeframe JSON data.
How the Indicator Works
Core Components
1. Aggregated Momentum Value:
The indicator calculates a composite momentum score by combining:
◦ RSI (Relative Strength Index): Normalized to a -100 to +100 scale. Measures price momentum and overbought/oversold conditions.
◦ Wave Trend (WT): Based on the Trend Channel Index (TCI). Normalized from -100 to +100. Identifies momentum waves and divergences.
◦ BBTrend (Bollinger Bands Trend): Measures the relationship between short and long Bollinger Bands. It scales automatically based on the timeframe.
◦ Laguerre RSI: An advanced RSI variant with gamma-smoothing that reduces lag while filtering out market noise.
2. Signal Line (EMA Difference):
◦ Calculation: The signal line is created by calculating the difference between the Aggregated Value and Laguerre RSI, then applying an EMA smoothing.
◦ Color Coding: The signal line is Green when the 1D timeframe is in an uptrend (Aggregated Value > EMA Difference) and Red during a downtrend.
3. Multi-Timeframe Data:
Each timeframe provides its own aggregated value and EMA difference, allowing traders to see trend alignment across different time horizons.
Trading Logic & Signal Interpretation
Bullish Signals (Buy Setup):
• Histogram bars are in the negative zone (Oversold; values vary by asset, typically below -60/-80).
• Bars begin to close ABOVE the EMA Difference line (crossover).
• Higher timeframes (4H, 1D, 1W) show bullish confirmation.
• The Signal Line turns Green (1D uptrend).
• Color transition: Dark Red/Maroon → Blue/Purple → Green.
• Interpretation: The market is exiting oversold conditions and starting a bullish reversal. The deeper the oversold reading and the higher the confirming timeframe, the stronger the signal.
Bearish Signals (Sell Setup):
• Histogram bars are in the positive zone (Overbought; typically above +60/+80).
• Bars begin to close BELOW the EMA Difference line (crossover).
• Higher timeframes (4H, 1D, 1W) show bearish confirmation.
• The Signal Line turns Red (1D downtrend).
• Color transition: Dark Green/Green → Orange/Gold → Red.
• Interpretation: The market is exiting overbought conditions and starting a bearish reversal.
Trend Following Strategy
• Uptrend Confirmation: When histogram bars consistently close ABOVE the EMA Difference line. Dark Green color represents the strongest uptrend (30M, 1H, and 4H are all bullish).
• Downtrend Confirmation: When histogram bars consistently close BELOW the EMA Difference line. Maroon color represents the strongest downtrend (30M, 1H, and 4H are all bearish).
Extreme Zones (FOMO & FEAR)
• FOMO Zone (Extreme Overbought): When 1H, 4H and 1D shows an aggregated value > +100, a Light Blue horizontal line appears. This indicates extreme greed/overbought conditions. These are warning zones where a reversal is likely.
• FEAR Zone (Extreme Oversold): When 1H, 4H and 1D shows an aggregated value < -100, a Purple horizontal line appears. This indicates extreme fear/oversold conditions. These are often high-probability buying opportunity zones.
Timeframe Usage Guide
• Long-Term Investments (1D/1W): Use 1D and 1W signals for long-term position building. Enter on FEAR zone crossovers and exit on FOMO zone crossovers. Best for swing traders and investors.
• Swing Trading (4H/8H/12H): Focus on the 4H trend. Use 1D/1W for confirmation. Enter when 4H crosses above the EMA Difference in the oversold zone.
• Day Trading (1H/30M): Primary analysis on 1H, entries on 30M or 15M. Check the MTF Dashboard for alignment. Trade in the direction of the 4H and 1D trends.
• Scalping (15M and lower): Very short-term trades. MUST align with 1H and 4H for best results. Use strict risk management.
Understanding the 8-Color Scheme
The histogram uses 8 colors to show the trend direction combination across three timeframes (30M, 1H, 4H):
• Dark Green: (30M ↑, 1H ↑, 4H ↑) — Maximum Bullish Confluence.
• Green: (30M ↓, 1H ↑, 4H ↑) — Strong Uptrend, minor pullback on 30M.
• Purple: (30M ↑, 1H ↓, 4H ↑) — Mixed trend, 1H correction within 4H uptrend.
• Gold: (30M ↓, 1H ↓, 4H ↑) — Weakening uptrend, potential reversal warning.
• Blue: (30M ↑, 1H ↑, 4H ↓) — Weakening downtrend, potential reversal forming.
• Orange: (30M ↓, 1H ↑, 4H ↓) — Mixed trend, 1H rally within 4H downtrend.
• Red: (30M ↑, 1H ↓, 4H ↓) — Strong downtrend, minor bounce on 30M.
• Maroon: (30M ↓, 1H ↓, 4H ↓) — Maximum Bearish Confluence.
MTF Dashboard Table
When active, the dashboard shows:
• Value: Current aggregated momentum (Color-coded by strength).
• EMA Diff: Current signal line value.
• Trend: Real-time direction (Uptrend/Downtrend).
Dashboard Color Rules:
• Extr. Overbought (>100): Maroon | Strong (>61): Red | Moderate (>30): Orange | Neutral: Yellow | Moderate Oversold (<-30): Lime | Strong (<-61): Green | Extr. Oversold (<-100): Dark Green.
Dashboard Color Rules (Other TFs):
• Extr. Overbought (>100): Maroon | Strong (>81): Red | Moderate (>61): Orange | Neutral: Yellow | Moderate Oversold (<-81): Lime | Strong (<-100): Green | Extr. Oversold: Dark Green.
Best Practices & Risk Management
• Alignment is Key: Always check higher timeframe alignment before entering.
• Wait for Close: Signals are only valid once the candle has closed.
• Risk Control: Never risk more than 1-2% per trade. Use stop-losses below recent swing lows (for longs) or above swing highs (for shorts).
• Avoid Chasing: Do not enter late when the market is already deep in FOMO or FEAR zones.
Webhook Integration
The indicator sends data from the PREVIOUS (confirmed) candle to ensure 100% accuracy and eliminate any possibility of repainting.
{ "signal": "Trend Pulse Status Update", "ticker": "BTCUSDT.P", "data_1H": { "val": 45.20, "ema_diff": 12.50, "is_uptrend": true }, "data_4H": { "val": -15.40, "ema_diff": -5.10, "is_uptrend": false }, "data_1D": { "val": 85.00, "ema_diff": 40.20, "is_uptrend": true }, "data_1W": { "val": 110.00, "ema_diff": 95.00, "is_uptrend": true } }
I hope this tool helps you in your trading journey. Feel free to leave your feedback and questions in the comments below! Boost it if you find it useful!
Disclaimer
IMPORTANT: This indicator is a technical analysis tool designed to assist in trading decisions. It does not provide investment advice and should not be the sole basis for any trading decision.
All trading involves substantial risk of loss. Past performance does not guarantee future results. The indicator's signals are based on mathematical calculations and do not predict future market movements with certainty.
Extreme zones (FOMO/FEAR) indicate overbought/oversold conditions but markets can remain in these zones for extended periods. Always use proper risk management, stop losses, and position sizing.
The multi-timeframe data is provided for informational purposes. Higher timeframe trends can change, and lower timeframe noise can generate false signals. Always conduct your own analysis and consider consulting with a qualified financial advisor before making trading decisions.
Trend ComboI have just combined Vwap with EMA's, along with a Parabolic Sar to help with timing potential entries and exits. Always use a stop loss.
Volume Channel Flow [ChartPrime]⯁ OVERVIEW — Volume Channel Flow
The Volume Channel Flow indicator dynamically tracks evolving trend channels while simultaneously analyzing volume distribution within each channel segment.
By combining adaptive volatility-based channel boundaries with real-time volume profiling, the tool highlights directional bias, structural breakouts, and zones where buy/sell pressure is concentrated.
This makes it a powerful hybrid of a trend-tracking system and a miniature volume-profile engine that updates live as the market moves.
⯁ CONCEPTS
Dynamic Volatility Channel:
Upper and lower channel levels are continuously recalculated using ATR. These levels shift only when price breaks outside the previous channel, signaling a trend transition.
Channel Segmentation:
When a channel shift occurs, the previous segment is closed and visually plotted as its own range — allowing traders to inspect each discrete “flow phase” of the market.
Embedded Volume Profile:
Inside each channel segment, the indicator builds a mini volume histogram using user-defined binning. This creates a quick visual read of how volume was distributed within that price range.
Point of Control (PoC):
The price level with the highest traded volume inside each completed segment is detected and plotted as a dashed horizontal PoC line.
Flow Bias (Bullish/Bearish):
The volume profile color adapts depending on whether cumulative delta volume (buy minus sell pressure) is positive or negative for the segment.
Breakout Labels:
When a new channel is formed, arrows mark whether the breakout occurred upward or downward.
⯁ FEATURES
Adaptive Trend Channel Construction
Channels update only when price closes beyond upper or lower volatility thresholds. This isolates trend shifts with minimal noise.
Channel Visualization Options
Choose to display full channel boxes or only trend lines using customizable styling.
Real-Time Volume Profiling
As long as the channel remains active, volume distribution is recalculated live on every bar.
PoC Projection
The PoC is drawn across the channel range, marking the highest-volume price level for each segment.
Directional Delta Coloring
Volume profiles automatically shift to bullish or bearish colors based on cumulative delta inside the channel.
Breakout Detection
Arrows highlight each transition into a new channel regime.
⯁ HOW TO USE
Spot trend changes using breakout arrows and the creation of new trend channels.
Gauge strength of a channel by examining the density and shape of the internal volume profile.
Use PoC levels as potential support/resistance interaction zones.
Validate momentum by checking whether volume delta shows bullish or bearish dominance.
Monitor channel edges to anticipate continuation or reversal setups.
⯁ CONCLUSION
The Volume Channel Flow indicator merges trend structure with volume analytics, providing a continuously adaptive picture of market flow.
It not only detects where trend phases begin and end, but also reveals what type of volume behavior shaped each segment, offering a deeper understanding of trend strength and directional pressure.
Kalman Hull Trend Score [BackQuant]Kalman Hull Trend Score
Overview
Kalman Hull Trend Score is a trend-strength and regime-evaluation indicator that combines two ideas, Kalman filtering and Hull-style smoothing, then measures persistence of that filtered trend using a rolling score. The goal is to produce a cleaner, more stable trend read than typical moving average tools, while still reacting fast enough to be practical in live markets.
Instead of treating a moving average as a simple line you cross, this indicator turns the filtered trend into an oscillator-like score that answers: “Is the smoothed trend consistently progressing, or is it stalling and degrading?”
Core idea
The indicator is built from two components:
A Kalman-based smoothing engine that estimates price state and reduces noise adaptively.
A Hull-style construction that uses multiple Kalman passes to create a responsive, low-lag trend filter.
Once the Kalman Hull filter is built, a persistence score is calculated by comparing the current Kalman Hull value to many past values. The result is a trend score that rises in sustained trends and compresses or flips during deterioration.
Why Kalman instead of standard smoothing
Traditional moving averages apply fixed smoothing rules regardless of market conditions. A Kalman filter behaves differently, it is designed to estimate an underlying state in noisy data, adjusting how much it “trusts” new price information versus prior estimates.
This script exposes that behavior through two key controls:
Measurement Noise: how noisy the observed price is assumed to be.
Process Noise: how much the underlying state is allowed to evolve from bar to bar.
Together, these settings let you tune the balance between smoothness and responsiveness without relying on blunt averaging alone.
Kalman filter mechanics (conceptual)
Each update cycle follows the classic structure:
Prediction: assume the state continues, and expand uncertainty by process noise.
Update: compute Kalman Gain, then blend the new price observation into the estimate.
Correction: reduce uncertainty based on how much the filter accepted the new information.
When measurement noise is higher, the filter becomes more conservative, smoothing harder. When process noise is higher, the filter adapts faster to regime changes, but can become more reactive.
Check out the original script:
Kalman Hull construction
The “Hull” component is not a standard HMA built from WMAs. Instead, it recreates the Hull idea using Kalman filtering as the smoothing primitive. The structure follows the same intent as HMA, reduce lag while keeping the line smooth, but does it with Kalman passes:
Apply Kalman smoothing over multiple effective lengths.
Combine them using the Hull-style weighting logic.
Run the combined output through another Kalman pass to finalize smoothing.
The result is a Kalman Hull filter that aims to track trend with less jitter than raw price, and less lag than slow averages.
Another Kalman Hull with Supertrend
Trend scoring logic
The trend score is computed by comparing the current Kalman Hull value to past Kalman Hull values over a fixed lookback range (1 to 45 bars in this script):
If current kalmanHMA > kalmanHMA , add +1
If current kalmanHMA < kalmanHMA , add -1
This produces a persistence score rather than a simple direction signal. Strong trends where the filter keeps advancing will accumulate positive comparisons. Weak trends, chop, or reversals will cause the score to flatten, decay, or flip negative.
Interpreting the score
Read the score as trend conviction and persistence:
High positive values: bullish persistence, the filtered trend is progressing consistently.
Low positive values: trend exists but is fragile, progress is slowing.
Near zero: indecision, range behavior, frequent challenges to structure.
Negative values: bearish persistence or sustained deterioration in the filtered trend.
The rate of change matters:
Score expansion suggests trend is gaining traction.
Score compression often signals consolidation or exhaustion.
Fast flips usually accompany regime transitions.
Signal thresholds and regime transitions
User-defined thresholds convert the score into regimes:
Long threshold: score must exceed this level to confirm bullish persistence.
Short threshold: a crossunder of the score triggers bearish regime transition.
This is intentionally conservative. Long bias is maintained while the score holds above the long threshold. Short transitions are event-triggered on breakdown via crossunder, helping avoid constant flipping during minor noise.
Signals are only plotted on regime changes (first bar of the flip), keeping them clean for alerts and backtests.
Visual presentation
The indicator provides multiple layers depending on how you want to use it:
Kalman Hull Trend Score oscillator, color-coded by active regime.
Optional Kalman Hull filter plotted on the price chart for structure context.
Optional threshold reference lines for quick regime mapping.
Optional candle coloring and background shading for instant readability.
You can run it as a pure score panel or as a combined panel + on-chart trend overlay.
How to use in practice
Trend filtering
Favor long setups when the score remains above the long threshold.
Reduce directional aggression when score compresses toward zero.
Treat a short-threshold breakdown as a regime risk event, not just a signal.
Trend quality assessment
Rising score supports continuation trades and adds confidence to breakouts.
Flat or falling score warns that trend persistence is fading.
If price trends but score fails to expand, trend may be weak or liquidity-driven.
Trade management
Use the Kalman Hull line as dynamic structure reference on chart.
Use score deterioration to scale out before a full regime flip.
Use regime flips as confirmation for bias shifts rather than prediction.
Tuning guidelines
Measurement Noise
Higher: smoother filter, fewer false shifts, slower to adapt.
Lower: more responsive, more sensitive to microstructure noise.
Process Noise
Higher: adapts quicker to sudden changes, but can become twitchy.
Lower: steadier state estimate, but slower during sharp regime transitions.
A practical approach is to first tune measurement noise until the Kalman Hull line matches the “clean trend structure” you want, then adjust process noise to control how quickly it reacts when the regime genuinely changes.
Summary
Kalman Hull Trend Score transforms a Kalman-based Hull-style trend filter into a quantified persistence oscillator. By combining adaptive Kalman smoothing with low-lag Hull logic and a rolling comparison score, it provides a cleaner read on trend quality than basic moving averages or single-condition trend tools. It is best used as a regime filter, trend strength gauge, and structure-aware trade management layer.
Master Cycle: Quantum Wave# AI Smart Signal: Quantum Wave Edition
**The Ultimate Market Co-Pilot: Precision Trend & Momentum Synthesis**
The **Quantum Wave** is not just another moving average; it is a sophisticated **Double-Smoothed Heiken Ashi Oscillator** designed to mathematically filter out market noise and visualize the true underlying trend structure.
This script combines three powerful engines into one "Master" system:
1. **Quantum Cycle Logic:** A proprietary algorithm that smooths price action to reveal the dominant "Heartbeat" of the market.
2. **Adaptive Momentum Visuals:** Dynamic dot sizing that reacts to volatility expansion and contraction.
3. **Smart Regime Filtering:** An AI-driven filter (ADX & Volatility) that automatically suppresses signals during dangerous "Choppy" or sideways markets.
---
## 🔬 Scientific Methodology
### 1. The Quantum Smoothing Algorithm
Most indicators suffer from "Whipsaws" (fake signals) because they react to every candle wick. The Quantum Wave solves this by creating a **Synthetic Price Series**.
* **Step 1:** It normalizes Open, High, Low, and Close data.
* **Step 2:** It applies a dual-layer Exponential Smoothing filter.
* **Result:** A clean, flowing "Ribbon" that ignores noise and only turns when the actual trend structure shifts.
### 2. Dynamic Momentum Sizing (The "Living" Dots)
The visual dots on the chart are "alive". They resize in real-time based on the **Body Strength** of the movement:
* 🔵 **Small Dots (Weak/Range):** Indicates the market is resting or deciding. *Guidance: STAY OUT / WAIT.*
* 🟢 **Medium Dots (Trend):** Indicates a confirmed healthy trend. *Guidance: ENTER / HOLD.*
* 🟡 **Large Dots (Power):** Indicates a high-volatility expansion phase. *Guidance: MAX PROFIT POTENTIAL.*
---
## 🛠️ Key Features
* **Instruction Overlay:** A built-in Dashboard tells you exactly what to do (BUY, SELL, HOLD, or WAIT) based on complex logic, simplified into one word.
* **Auto-Timeframe Detection:** The sensitivity automatically adjusts whether you are scalping (1-min) or Swing Trading (Daily).
* **Market Structure Labels:** Automatically identifies Higher Highs (HH) and Lower Lows (LL) to confirm trend direction.
* **Demand & Supply Zones:** Auto-plots key reaction levels for Take Profit targets.
---
## 🎯 How to Trade
**For a BUY Setup:**
1. **Trend:** Ensure the Quantum Wave (Dots) are **GREEN**.
2. **Momentum:** Look for the dots to grow from Small to Medium.
3. **Confirmation:** Wait for the Dashboard to read "ACTION: BUY".
**For a SELL Setup:**
1. **Trend:** Ensure the Quantum Wave (Dots) are **RED**.
2. **Momentum:** Look for the dots to grow from Small to Medium.
3. **Confirmation:** Wait for the Dashboard to read "ACTION: SELL".
---
