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.
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Whether you are looking for trend exhaustion, momentum shifts, or volatility breakouts, this indicator provides a clear, visual summary of market dynamics.
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Key Features
9 Indicators in 1: Access RSI, Stochastic, StochRSI, MACD, Zero-Lag MACD, Andean Oscillator, and the Traders Dynamic Index (TDI).
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Smart Layout Modes:
Raw (Brut): Classic view with original values.
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Stacked (Empilé): Organizes indicators into fixed vertical zones to prevent overlapping.
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Proportional Stacking: Automatically calculates and adjusts the height of blocks based on active oscillators.
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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.
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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.
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MACD & Zero-Lag MACD: Includes histogram fills and trend-colored lines for faster reaction to price movement.
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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.
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Customizable UI: High-fidelity rendering with dashed levels and proportional fills for a professional, clean interface.
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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.
Trend
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.
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🎯 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** |
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⚙️ 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
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🛡️ 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 ✓/✗
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📊 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.
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⏰ 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.
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🎨 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
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⚠️ 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
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📚 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
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🔧 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
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💡 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.
Supertrend + RSI Positional StrategyOVERVIEW
This is a long-only, rule-based positional trading strategy designed for stocks, ETFs, and indices, with a primary focus on higher timeframes (1H and above).
The strategy combines:
Trend direction via Supertrend
Momentum confirmation via RSI
An optional ADX filter to ensure sufficient trend strength
The logic is intentionally kept simple, transparent, and non-repainting, making it suitable for both learning and practical positional analysis.
Core Idea
The strategy aims to participate only in sustained directional moves, avoiding choppy or low-momentum conditions.
Trades are taken only when trend and momentum align, and exits are handled using clearly defined, user-selectable rules. There is no prediction involved — only confirmation.
Entry Logic (Long Only)
A long position is considered when all of the following conditions are met:
Supertrend is bullish
RSI is above the bullish threshold (default: 50)
(Optional) ADX is above the ADX threshold (default: 20)
The ADX filter is optional and can be enabled or disabled by the user.
When enabled, it is used only for entry filtering and plays no role in exits.
Exit Logic (User Selectable)
Exit behavior can be adapted to different trading styles using the following options:
Supertrend OR RSI
Exit when either trend reverses or momentum weakens
Supertrend ONLY
Exit strictly on trend reversal
RSI ONLY
Exit when momentum drops below the threshold
Supertrend AND RSI
Exit only when both conditions are met
This flexibility allows users to choose between faster exits or more trend-following behavior.
Trade Management
Long-only strategy
One position at a time
No pyramiding
No intrabar execution logic
Manual trade-state handling ensures consistent behavior across:
Stocks
ETFs
Indices (including cash indices)
The strategy logic is evaluated on confirmed bar closes only, ensuring non-repainting behavior.
Visual Features
BUY / EXIT labels plotted only on the first confirmation candle
Independent customization for BUY and EXIT label position, color, and offset
Optional background highlighting while a trade is active
RSI and ADX are not plotted, keeping the chart clean and uncluttered
Recommended Usage
Timeframes: 1H, 2H, 4H, Daily
Markets: Stocks, ETFs, Indices
Style: Positional / Swing trading
This strategy is not intended for scalping or very low timeframes.
Open & Transparent
This script is published in open-source form to encourage learning and experimentation. Users are free to study the logic, adjust parameters, and understand how a simple trend-plus-momentum positional approach is constructed.
IMPORTANT NOTES
This is a rule-based analytical tool, not a signal service
No performance claims or guarantees are made
Results will vary depending on market conditions and parameter choices
Users are encouraged to understand the logic before applying it to live markets
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 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.
Volatility Cluster Trend.VCT - Volatility Cluster Trend
What it does
This indicator groups market volatility into 3 zones (low, medium, high) using a clustering method. Then it picks the right zone for current conditions and draws a trend line that adapts automatically.
Green line below price = uptrend
Red line above price = downtrend
Triangles show when trend flips.
How to add it
Open TradingView
Click "Indicators" at top (or press /)
Go to "My Scripts" tab
Find "VCT - Volatility Cluster Trend"
Click it
If you haven't saved it yet:
Open Pine Editor (bottom panel)
Paste the code
Click "Add to Chart"
Settings
ATR Length - how smooth the volatility reading is. Default 10 works fine. Go higher for less noise.
Factor - how far the line sits from price. Higher = wider stops, fewer signals. Lower = tighter, more signals. Default 3 is balanced.
Lookback Period - how much history to analyze for clustering. 100 bars is good for most timeframes.
Colors - pick what you like.
How to trade it
Long
Wait for green triangle
Price should be above the green line
Enter on next candle or pullback to line
Short
Wait for red triangle
Price should be below red line
Enter on next candle or pullback to line
Stop loss
Put it on the other side of the line
If long, stop goes just below green line
If short, stop goes just above red line
Exit
When opposite signal appears
Or trail your stop along the line
Tips
Works best on trending markets
Choppy sideways = lots of false signals
Higher timeframes (4h, daily) give cleaner signals
Combine with support/resistance for better entries
Don't chase - wait for pullbacks to the line
Alerts
Right click the indicator > Add Alert
Two options:
"Buy Signal" - alerts on green triangles
"Sell Signal" - alerts on red triangles
Set to "Once Per Bar Close" to avoid fake signals.
Bar-Close Confirmed SupertrendOverview
This indicator is a Supertrend-style trend follower that confirms direction changes only after a bar closes. Trend flips are determined using the previous bar’s close relative to the bands, which helps avoid intrabar changes during live candles.
How it works
Computes ATR (Average True Range)
Builds upper/lower bands using ATR and a multiplier
Updates trend direction only when a prior candle confirms a break of the band
Confirmation logic (bar-close based)
Trend direction is updated using conditions based on the previous candle, such as:
close > upper → confirm uptrend
close < lower → confirm downtrend
Because signals are confirmed on the prior bar, trend changes and markers are displayed only when confirmation exists.
Signals
Uptrend confirmation: prior candle closes above the upper band → bullish marker
Downtrend confirmation: prior candle closes below the lower band → bearish marker
Inputs
ATR Length (default 10)
ATR Multiplier (default 3.0)
Notes
This script is intended for bar-close workflows. Behavior and responsiveness may differ across markets and timeframes depending on volatility and chosen settings.
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.
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.
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.
DurdenBTCs Dual Signal Trend SentinelA Bitcoin-Specific Strategy that Beats Buy and Hold
This is a Volatility Adjusted Momentum (VAMS) strategy tuned specifically for Bitcoin. Unlike standard Moving Average crossovers that get chopped up in sideways markets, this script uses Z-Score logic to normalize price distance from the trend, helping you stay in major moves and exit before deep drawdowns.
How It Works: Markets move in cycles. This strategy focuses on the Quarterly Cycle (approx. 3 months) to determine the dominant trend.
The Baseline: It calculates a 63-period trend baseline.
Volatility Adjustment: It measures the standard deviation of price around that baseline to assess real volatility.
The VAMS Score (Z-Score): It calculates exactly how many standard deviations price is away from the mean using the formula: (Close - Baseline) / Volatility .
The Signal Logic: The strategy classifies the market into three clear regimes using a color-coded background:
🟢BULLISH (Green Background): Price is > 0.5 Standard Deviations above the baseline. This indicates a strong momentum breakout. The strategy enters a Long position here.
🔴BEARISH (Red Background): Price is < -0.5 Standard Deviations below the baseline. This indicates trend failure. The strategy Closes All positions to preserve capital.
🟠NEUTRAL (Gray/Orange Background): Price is chopping between -0.5 and 0.5. This is the "noise" zone where trends are undefined. You can customize how you want the strategy to work at this point.
Why Use This?
Visual Clarity: The background color tells you the regime instantly, no need to guess.
Objective Entries/Exits : Removes emotion by using math-based volatility thresholds rather than arbitrary price levels.
Tuned for BTC: The 63-length lookback is specifically chosen to capture Bitcoin's quarterly flows.
🚀 Want More Precision? This script is the "Core" version of my trading framework. If you like this logic but want to reduce lag and capture moves even earlier, check out my private script: Bitcoin Gaussian Volatility Trend Signal . Access is granted to Substack subscribers.
The private version includes advanced Gaussian smoothing to filter out fake-outs that standard moving averages miss, offering a sharper edge for active investors.
Disclaimer: Past performance is not indicative of future results.
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.
Volume & Trend Reversal Master (NTY88)TradingView Script Description: Volume & Trend Reversal Master with VRP
📊 Overview
This advanced multi-timeframe indicator combines comprehensive volume analysis with sophisticated trend detection to provide traders with a complete market perspective. By integrating traditional technical indicators with innovative Volume Range Profile (VRP) analysis, it offers unique insights into market structure and potential reversal points.
✨ Key Features
1. Multi-Timeframe Analysis
Flexible Timeframe Selection: Analyze any timeframe from 5-minute to weekly charts
Custom Timeframe Support: Enter any TradingView timeframe (5, 15, 60, 240, D, W, etc.)
Adaptive Lookback Periods: Automatic adjustment of analysis depth based on selected timeframe
2. Advanced Volume Analysis
Real-Time Volume Delta: Calculates buy/sell volume pressure for each bar
Volume Range Profile (VRP): Advanced volume distribution analysis across price levels
Volume Strength Indicator: Quantifies the relative strength of buying vs selling pressure
Accumulation/Distribution Detection: Identifies smart money activity through volume patterns
3. Comprehensive Trend Detection
CCI-Based Trend Signals: Uses Commodity Channel Index for primary trend detection
Trail Line System: Dynamic support/resistance levels based on historical extremes
Multi-Indicator Confirmation: ADX, RSI, and ATR for trend strength validation
Volume-Trend Alignment: Confirms price trends with volume flow
4. Integrated Technical Indicators
ADX (Average Directional Index): Measures trend strength (Weak/Moderate/Strong/Very Strong)
RSI (Relative Strength Index): Identifies overbought/oversold conditions with classification
ATR (Average True Range): Volatility measurement with percentage-based classification
Volume Ratio Analysis: Buy/Sell volume balance assessment
5. Volume Range Profile (VRP) Integration
Zone-Based Analysis: Divides price range into upper/lower zones for volume accumulation
Buy/Sell Volume Distribution: Shows where institutional activity is concentrated
Visual Zone Markers: Clear price level indicators on the chart
VRP Bias Detection: Identifies whether volume accumulation favors bulls or bears
6. Complete Market Scenario Analysis
Real-Time Market Classification: Identifies 8 different market conditions (Uptrend, Downtrend, Pausing, Weakening, etc.)
Volume Strength Meter: Percentage-based strength indicator with color coding
Total Scenario Synthesis: Integrates all indicators into one clear, actionable summary
Market Score System: Numerical scoring (-6 to +6) for objective market assessment
7. Professional Visual Interface
Customizable Display Table: Adjustable position (8 positions) and size (Tiny to Large)
Color-Coded Information: Immediate visual recognition of market conditions
Trail Line Plotting: Dynamic support/resistance lines with user-defined colors
Clean Chart Integration: Non-intrusive design that complements price action
⚙️ Input Parameters
Core Settings
CCI Length: Adjust sensitivity of trend detection (default: 80)
Trail Line Length: Controls historical lookback for support/resistance (default: 14)
CCI Thresholds: Upper/Lower levels for trend confirmation (default: 200/-160)
Volume Range Profile Settings
Lookback Period: Historical bars for VRP calculation (default: 100)
Zone Width: Percentage of price range allocated to volume zones (default: 30%)
Bins per Zone: Granularity of volume distribution (default: 10)
Visual Options: Toggle midlines, volume labels, and colors
Display Customization
Table Position: Choose from 8 different screen positions
Table Size: 4 size options for optimal visibility
Color Schemes: Customize trail line colors for personal preference
📈 Interpretation Guide
Total Scenario System
The indicator synthesizes all analysis into a Total Scenario with three components:
Directional Bias:
STRONG BULLISH/BULLISH/MILD BULLISH
NEUTRAL
MILD BEARISH/BEARISH/STRONG BEARISH
Confidence Level:
(HIGH CONF) - Multiple confirming signals
(MED CONF) - Moderate agreement
(LOW CONF) - Mixed signals
Market Phase:
TRENDING - Clear directional movement
RANGING - Sideways consolidation
TRANSITION - Changing market conditions
Market Score Interpretation
+4 to +6: Very Strong Bullish - Consider long positions with high confidence
+2 to +3: Strong Bullish - Favorable for long positions
+1: Mild Bullish - Consider long with caution
0: Neutral - Wait for clearer signals
-1: Mild Bearish - Consider short with caution
-2 to -3: Strong Bearish - Favorable for short positions
-4 to -6: Very Strong Bearish - Consider short positions with high confidence
Volume Analysis Signals
Volume Strength > +20%: Strong buying pressure
Volume Strength < -20%: Strong selling pressure
VRP Bias Bullish: Volume accumulation at support levels
VRP Bias Bearish: Volume distribution at resistance levels
🔍 Practical Applications
Trend Following
Use Trail Line as dynamic support/resistance
Confirm trends with Volume Strength and ADX
Enter on pullbacks to Trail Line with volume confirmation
Reversal Detection
Watch for CCI crossovers beyond thresholds
Look for volume divergences during trends
Monitor VRP Bias shifts between zones
Risk Management
Use ATR percentage for position sizing
RSI extremes for profit targets
Volume Strength for exit timing
Market Structure Analysis
VRP zones identify key support/resistance areas
Volume distribution shows institutional interest levels
Multiple timeframe analysis for confluence
🛡️ Risk Disclaimer & Best Practices
Important Notes
Educational Purpose: This tool is designed for market analysis and education
No Guarantees: Past performance does not guarantee future results
Risk Awareness: Trading involves substantial risk of loss
Personal Responsibility: Always conduct your own research and risk assessment
Recommended Practices
Start Small: Begin with demo accounts or small positions
Use Multiple Timeframes: Confirm signals across different time horizons
Combine with Price Action: Use indicator signals with candlestick patterns
Implement Stop Losses: Always use proper risk management
Backtest Strategies: Test approaches in different market conditions
Continuous Learning: Keep a trading journal to improve decision-making
Limitations to Consider
Lagging Nature: Most indicators react to price, not predict it
False Signals: No indicator is 100% accurate in all market conditions
Market Context: Consider fundamental factors and news events
Personal Adaptation: Adjust settings to match your trading style
🎯 Ideal User Profile
Intermediate to Advanced Traders: Familiar with technical analysis concepts
Multi-Timeframe Analysts: Those who analyze multiple timeframes
Volume-Based Traders: Focused on volume-price relationships
Risk-Aware Investors: Who use multiple confirmations before trading
📚 Educational Value
This indicator serves as an excellent educational tool for:
Understanding volume-price relationships
Learning about multi-indicator confirmation
Studying market structure through VRP
Developing disciplined trading routines
⚡ Performance Notes
Optimized Calculations: Efficient code for smooth performance
Customizable Complexity: Turn features on/off based on your needs
Clean Visuals: Non-cluttered display for focused analysis
Real-Time Updates: All calculations update with each new bar
🔄 Updates & Support
The indicator may receive periodic updates to:
Improve calculation accuracy
Add new features based on user feedback
Optimize performance for better user experience
Fix any identified issues
🤝 Community Contribution
This script integrates concepts from:
Traditional technical analysis
Volume profile methodologies
Multi-timeframe analysis techniques
Risk management principles
⭐ Final Recommendations
Paper Trade First: Test strategies without real money
Focus on Process: Develop consistent analysis routines
Manage Expectations: Understand that losses are part of trading
Continuous Improvement: Regularly review and refine your approach
Balance Analysis: Combine technical, fundamental, and sentiment analysis
Remember: No single indicator can guarantee trading success. This tool is designed to provide additional information and perspective to help you make more informed decisions. Always prioritize risk management and trade within your means.
Happy analyzing and trade responsibly! 📈🔍
[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.
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## 🔬 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".
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Viper Oscillator🔶 Overview
The Mkt-Viper Oscillator is a specialized Kinetic Momentum Engine engineered for Precision Timing and energy measurement. It serves as a high-fidelity market oscilloscope, designed to decode the raw velocity of price action and identify high-probability entry and exit points with enhanced clarity.
Markets move with varying degrees of force and resistance. Mkt-Viper Oscillator analyzes this behavior by utilizing a Kinetic Momentum Model. It measures Price Displacement against Market Viscosity (a dynamic resistance filter) to determine the true energy behind a move. By filtering out low-energy "drift," this approach allows traders to gauge the true strength of a trend and identify moments of momentum exhaustion or renewal.
🔶 What makes Mkt-Viper Oscillator unique?
The Viper Oscillator distinguishes itself through its Multi-Dimensional Calculation Matrix. Rather than relying on a single data source, it fuses Price Action, Volume Flow, and Volatility (Z-Score) into a single output.
The core engine measures Market Inertia. By applying a "Denoising Kernel" and recursive smoothing algorithms, it filters out erratic ticks to visualize the smooth, hydrodynamic flow of money entering and exiting the asset, providing a clearer picture of market intent.
Main Features
🔶 The Core Oscillator
The central Line or Ribbon of the oscillator represents the "Engine Core." It visualizes the battle between momentum (Torque) and resistance (Drag).
Visual Modes:
Standard:
Uses a multi-layered rendering technique (Core + Outer Glow) to create a crisp, high-visibility "Neon" line.
Ribbon Mode:
Displays a Signal Line cross system. When the fast line crosses the slow "Trail," it signals a micro-shift in momentum.
Momentum Flips:
The oscillator plots discrete Circles on the ribbon when the slope flips direction. These mark the precise moment momentum shifts from expansion to contraction.
🔶 Kinetic Exhaustion Zones
Standard oscillators often use static lines (like 70/30) that provide little context on trend strength. The Viper Oscillator replaces these with dynamic Kinetic Exhaustion Zones.
The Logic:
These zones represent the limits of "Market Torque." Instead of a binary On/Off signal, the zones function as a gradient stress field.
Visuals (Adaptive Glow):
The system utilizes a programmed opacity gradient.
Fade In:
The zones begin to materialize when the Core passes a certain threshhold (Moderate Momentum).
Maximum Glow:
As the oscillator begins to travel deeper beyond the threshold (Peak Torque), the zones glow with maximum intensity, signaling that the move is becoming statistically stretched or overextended.
Usage:
In a strong trend, the oscillator can "pin" inside the glow zone. This is a sign of immense strength, not a reversal. The reversal signal occurs when the Core exits the glow zone and returns toward the mean.
🔶 Z-Score Velocity Line
Floating above the main oscillator is the Velocity Line (Thin Line). This is not just a second oscillator; it is a volatility-adjusted Z-Score.
The Logic:
It measures the speed of price change relative to the current volatility conditions.
Usage:
When the Velocity Line spikes aggressively while the main Oscillator moves slowly, it is an early warning sign for a potential pullback.
🔶 Money Flow Wave (Background)
The background of the oscillator features a subtle, filled "Wave." This is the Money Flow Index (MFI) overlay.
The Logic:
This layer tracks volume-weighted price action. It allows you to see Divergences between Price and Volume.
Usage:
If the Kinetic Core (Price Momentum) is making a Higher High, but the Money Flow Wave (Volume) is making a Lower Low, it indicates a "Hollow Rally" lacking institutional backing.
🔶 Sigma Sniper Signals
The system constantly monitors Volume Volatility using a 3.0 Sigma (Standard Deviation) threshold.
Visuals:
When a volume spike exceeds 3 standard deviations from the mean (a statistical anomaly), a small "⌃" or "⌄" symbol appears at the top or bottom of the panel.
Meaning:
This marks a potential Volume Climax. It signifies potential capitulation (panic selling) or euphoria (fomo buying). These points are possibly probable reversal areas.
🔶 Trend Power Bar
Located at the very bottom of the pane is the Trend Power Bar. This is a binary filter designed to keep you on the right side of the macro flow.
The Logic:
It uses a "Linkage Kernel" (Correlation Coefficient) to measure the alignment of the trend.
Green:
Macro Trend is Bullish.
Red:
Macro Trend is Bearish.
Opacity:
The bar becomes transparent when the trend is weakening, warning you of potential consolidation.
🔶 Fractal Divergences
Timing reversals requires spotting the disconnect between price and momentum. The Divergence Engine uses Fractal Geometry to detect these setups automatically.
Regular Divergence:
Draws lines connecting peaks or valleys where Price pushes further but Momentum fails to follow. These are potential reversal signals.
🔶 Synthetic Resolution Scaler (MTF)
Traders often need to see higher-timeframe momentum without changing charts. The Resolution Scaler allows you to project higher-timeframe data onto your current chart.
How it works:
Instead of using repainting request.security calls, the script mathematically scales the internal lookback periods (Lengths) to simulate higher timeframes (e.g., viewing Hourly momentum on a 15-minute chart) while maintaining smooth, real-time updates.
🔶 Visual Intelligence (Theme Engine)
Visual clarity is essential for rapid decision-making. A cluttered or poorly contrasted chart can lead to cognitive fatigue. To address this, the Viper Oscillator features a global Color Theme Engine that instantly synchronizes every element of the suite—signals, candles, clouds, and text—to a unified palette.
The Presets:
The system comes with five professionally designed profiles to suit different trading environments and lighting conditions:
Viper Original: High-contrast Neon Green & Purple (Optimized for Dark Mode).
Classic: Standard Green/Red configuration for traditionalists.
Cool Blues: A calming Blue/Violet palette designed to reduce emotional reactivity.
Ember & Ash: High-warmth Orange/Slate contrast.
Monochrome: Grayscale/Silver logic for distraction-free structural analysis.
Customization:
Traders with specific branding requirements or accessibility needs (such as color blindness) can select "Custom Theme." This unlocks distinct color inputs, allowing you to define your own specific Bullish, Bearish, and Neutral colors that instantly propagate across the entire indicator suite.
🔶 How to use: The "Timing" Workflow
Mkt-Viper Oscillator is designed to filter out premature entries. Rather than catching falling knives, we recommend a workflow based on Momentum Structure:
Strategy: Momentum Continuation (The HL/LH Setup)
The highest probability entries occur when momentum resets but the trend structure remains intact.
Trend Context:
Ensure the Trend Power Bar is Green (Bullish) or Red (Bearish).
Wait for Structure:
Do not buy the first dip. Wait for the Kinetic Core to print a Higher Low (HL) in a bullish trend or a Lower High (LH) in a bearish trend. This "Momentum Stair-Step" confirms that counter-trend energy has been exhausted.
The Trigger:
Enter when a Momentum Flip Circle (Dot) appears after this Higher Low or Lower High is established.
Exit:
Take profits when the Velocity Line spikes into the extremes or a Divergence line appears.
While powerful as a standalone unit, this engine is mathematically calibrated to pair with the Mkt-Viper Pro (Trend) and Mkt-Viper Edge (Structure) indicators.
Important:
This indicator is intended to be used with additional confluences and key areas. It is not recommended to blindly buy or sell the momentum flip dots.
🔶 Realistic Expectations & Methodology
Oscillator Lag:
All oscillators are derivative of price and inherently possess some lag. The "Kinetic" math reduces this lag significantly, but it cannot eliminate it entirely as it must process past data.
Signal Confirmation:
The "Flip Circles" and Reversal signals are confirmed on candle close. While they do not repaint history, they will wait for the bar to close before locking in. This is a safety feature to prevent fake-outs.
Trending vs. Ranging:
Oscillators perform best in Ranging markets or during Pullbacks in a trend. Using Overbought/Oversold signals blindly during a parabolic trend is dangerous, as momentum can stay "Overbought" for extended periods. Always check the Trend Power Bar context.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, back test, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
