Fast_VwapThis is a Pine Script indicator that calculates and displays Volume Weighted Average Price (VWAP) with several advanced features, including multiple anchoring methods, deviation bands, and optional machine learning enhancements.
Core Components
1. VWAP Calculation
The indicator calculates VWAP using the standard formula:
text
VWAP = Σ(Price × Volume) / Σ(Volume)
Where price can be customized (default is HLC3 - the average of high, low, and close).
2. Anchoring Methods
The indicator offers four ways to reset/start the VWAP calculation:
Session: Resets at the start of each new trading day (most common)
Lowest Low: Resets when a new 10-bar low occurs
Highest High: Resets when a new 10-bar high occurs
Fixed Length: Resets after a specified number of bars (default 20)
3. Deviation Bands
The indicator can show standard deviation bands around the VWAP:
Upper band = VWAP + (Standard Deviation × Multiplier)
Lower band = VWAP - (Standard Deviation × Multiplier)
4. Machine Learning Enhancements
Two optional ML methods can be applied to smooth the VWAP:
Simple Average: Uses an EMA (Exponential Moving Average) of the VWAP
KNN (K-Nearest Neighbors): A simplified implementation that looks at recent values to adjust the current VWAP
How It Works
Inputs: The user can configure all parameters including price source, anchoring method, band settings, and ML options.
Anchoring: The script first determines when to reset the VWAP calculation based on the selected anchoring method.
VWAP Calculation: Using the anchoring points, it calculates the cumulative price×volume and total volume to compute the VWAP and standard deviation bands.
ML Processing: If enabled, the raw VWAP value is smoothed using either a simple EMA or a KNN algorithm that looks at the most similar recent values.
Visualization: The final VWAP line is plotted along with optional deviation bands and colored fills between the bands and VWAP line.
Use Cases
Intraday Trading: When anchored to session, helps identify fair value during the trading day
Swing Trading: When using fixed length or high/low anchoring, can identify support/resistance
Trend Confirmation: Deviation bands help identify overbought/oversold conditions relative to volume-weighted price
The combination of traditional VWAP with machine learning smoothing makes this a unique tool that can potentially reduce noise while maintaining the volume-weighted price information that makes VWAP valuable.
A deviation band is a statistical tool that creates upper and lower boundaries around a central line (in this case, the VWAP) based on how much prices typically vary from that average.
How It Works
Standard Deviation Calculation
The indicator calculates how much prices deviate from the VWAP:
Measures the "spread" or volatility of prices around the VWAP
Uses the mathematical formula for standard deviation
Creates bands at a specific distance from the VWAP line
What Deviation Bands Tell You
Statistical Significance
~68% of price action typically stays within 1 standard deviation
~95% stays within 2 standard deviations
When price touches the bands, it's statistically "unusual"
Trading Signals
Price hits upper band: Potentially overbought, consider selling
Price hits lower band: Potentially oversold, consider buying
Price stays within bands: Normal price action
Price breaks outside bands: Strong momentum move
Dynamic Adjustment
High volatility periods: Bands automatically widen
Low volatility periods: Bands automatically narrow
Volume changes: Affects both VWAP and band calculations
Orange Line (Default)
What it is: The main VWAP line with machine learning enhancement
Purpose: This is the core signal line - the Volume Weighted Average Price that's been processed through your selected ML method (Simple Average, KNN, or None)
Blue Line (Default)
What it is: Upper deviation band
Purpose: Shows potential resistance level - when price reaches this band, it may indicate overbought conditions
Red Line (Default)
What it is: Lower deviation band
Purpose: Shows potential support level - when price reaches this band, it may indicate oversold conditions
การวิเคราะห์แนวโน้ม
Opening Range Breakout (15 mins Range)Take the guesswork out of your trading with the Opening Range Breakout Pro script. This tool automatically marks the high and low of the first 15 minutes of the NYSE session, then highlights the first candle to break out above or below this range—removing ambiguity from your trade entries.
The opening range is one of the most powerful concepts in day trading. By identifying the price range set during the market’s first minutes, you gain a clear framework for your trades. When price breaks out above the range, it often signals a strong bullish move; a break below signals bearish momentum. This script visually marks these moments, so you can react quickly and confidently.
Why use Opening Range Breakout Pro?
• Defined Entry and Exit Points: The script gives you clear, objective breakout levels—no more guessing when to enter a trade.
• Removes Emotional Trading: With visual cues for breakouts, you can follow a systematic approach and avoid hesitation or FOMO.
• Backtested, Time-Tested Strategy: The opening range breakout has been used by professional traders for decades to capture early trends and maximize profit potential.
• High Reward Potential: By capitalizing on the volatility and momentum of the opening session, traders often catch the best moves of the day.
• Easy to Use: Just add to your chart—no configuration needed. The script works on any NYSE stock, on a 5-minute chart.
How it works:
• Draws the opening 15-minute high and low as orange lines.
• Labels the range prices for quick reference.
• Marks the first candle to close above the range with an orange ▲, and the first to close below with an orange ▼.
Take control of your trading day, remove uncertainty, and trade with confidence—just like the pros.
Aqua MTF Trend Oscillator——————————————————————————————————————————————————————————
The Aqua Multi-Timeframe (MTF) Trend Oscillator is a comprehensive momentum and trend analysis tool designed to synthesize
complex market dynamics into a single, intuitive oscillator. It moves beyond single-timeframe analysis by aggregating
trend information from up to five distinct, user-configurable sources—spanning different timeframes, symbols, and
moving average types.
--- CORE CONCEPT ---
The strength and direction of a trend are rarely uniform across all market perspectives. This indicator's core
principle is to quantify and weigh the trend's character from multiple angles simultaneously. By blending these
perspectives, it generates a composite score that reflects the overall "consensus" of trend momentum, providing
a more robust view than any single moving average could offer alone.
--- METHODOLOGY ---
The indicator's power lies in its sophisticated, multi-step normalization process for each analysis slot:
1. **MA Calculation:** A standard moving average (e.g., EMA, SMA) is calculated for the specified source, symbol, and timeframe.
2. **Volatility-Normalized Distance:** It first measures the deviation of price from its moving average in terms
of Average True Range (ATR) units. This volatility-normalization step is crucial for comparing trend strength
across different timeframes or instruments, as it measures distance in a context-aware manner.
3. **Magnitude Squashing:** This ATR-based distance is then passed through a hyperbolic tangent (`tanh`) squashing
function. This elegantly transforms the potentially unbounded measurement into a standardized score oscillating
between -1 (maximum bearish magnitude) and +1 (maximum bullish magnitude). This prevents extreme outliers in one
timeframe from disproportionately skewing the final result.
4. **Weighted Aggregation:** Each of these normalized (-1 to +1) scores is then combined based on a user-defined
weight. The weighted average of all enabled slots produces the final composite score.
5. **Final Scaling & Smoothing:** The composite score is scaled to oscillate between -100 and +100. An optional
final smoothing pass can be applied to this master line to reduce noise and clarify the overall trend.
All higher-timeframe calculations are performed correctly within their native context to ensure the indicator is
non-repainting and provides a stable, reliable output on the chart.
--- KEY FEATURES ---
• **Five Independent Analysis Slots:** Fully customize up to five sources, each with its own symbol, timeframe, MA type, period, and weight.
• **Advanced Normalization:** Utilizes ATR and the hyperbolic tangent function for robust, comparable trend magnitude scores.
• **Correct MTF Calculation:** Employs best practices for non-repainting data requests, ensuring historical and real-time results are consistent.
• **Weighted Composite Score:** Assign importance to different timeframes to tailor the oscillator to your specific analytical needs.
• **Optional Master Smoothing:** Apply a final MA to the composite score line for enhanced clarity and signal filtering.
• **Clear Visualization:** A simple, color-coded oscillator line shows the final trend score, while individual component trends can also be plotted.
--- HOW TO INTERPRET ---
• **Zero Line Cross:** A cross above 0 indicates that the weighted balance of trend components has shifted to bullish. A cross below 0 signals a shift to bearish.
• **Oscillator Magnitude:** Values approaching +100 suggest a strong, broad-based uptrend consensus. Values nearing -100 indicate a strong downtrend consensus.
• **Slope:** The slope of the oscillator line indicates the accelerating or decelerating nature of the aggregate trend momentum.
• **Divergence:** As with any oscillator, watch for divergences between price action and the oscillator, which can signal a potential exhaustion of the prevailing trend.
Author: Aquaritek
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LVN/HVN Auto Detection [PhenLabs]📊 PhenLabs - LVN/HVN Auto Detection
Version: PineScript™ v6
📌 Description
The PhenLabs LVN/HVN Auto Detection indicator is an advanced volume profile analysis tool that automatically identifies Low Volume Nodes (LVN) and High Volume Nodes (HVN) across multiple trading sessions. This sophisticated indicator analyzes volume distribution patterns to pinpoint critical support and resistance levels where price is likely to react, providing traders with high-probability zones for entries, exits, and risk management.
Unlike traditional volume indicators that only show current activity, this tool builds comprehensive volume profiles from historical sessions and intelligently filters the most significant levels. It combines real-time volume analysis with dynamic level detection, offering both visual bubbles for immediate volume activity and persistent horizontal lines that act as ongoing support/resistance references.
🚀 Points of Innovation
Multi-Session Volume Profile Analysis - Automatically calculates and analyzes volume profiles across the last 5 trading sessions
Intelligent Level Separation Logic - Prevents overlapping signals by maintaining minimum separation between LVN and HVN levels
Dynamic Timeframe Adaptation - Automatically adjusts session lengths based on chart timeframe for optimal level detection
Real-Time Activity Bubbles - Shows volume activity strength through different bubble sizes at key levels
Persistent Line Management - Creates horizontal lines that extend until price crosses them, providing ongoing reference points
Dual Threshold System - Independent percentage-based thresholds for both LVN and HVN identification
🔧 Core Components
Volume Profile Engine : Builds 20-row volume profiles for each analyzed session, distributing volume across price levels
Level Identification Algorithm : Uses percentage-based thresholds to classify volume distribution patterns
Separation Logic : Ensures minimum distance between conflicting levels, prioritizing HVN when overlap occurs
Line Management System : Tracks active support/resistance lines and removes them when price crosses through
Volume Activity Monitor : Compares current volume to 13-period moving average for activity classification
🔥 Key Features
Customizable Thresholds : LVN threshold (5-35%, default 20%) and HVN threshold (65-95%, default 80%) for precise level filtering
Volume Activity Multiplier : Adjustable volume threshold (0.5+, default 1.5) for bubble and line creation sensitivity
Flexible Display Modes : Choose between Lines only, Bubbles only, or Both for optimal chart clarity
Smart Level Separation : Minimum separation percentage (0.1-2%, default 0.5%) prevents conflicting signals
Color Customization : Independent color controls for LVN (red) and HVN (blue) elements
Performance Optimization : Processes every 15 bars with maximum 500 active lines for smooth operation
🎨 Visualization
Colored Bubbles : Three sizes (large, medium, small) indicate volume activity strength at key levels
Horizontal Lines : Persistent support/resistance lines with width corresponding to volume activity
Dual Color System : Semi-transparent red for LVN areas, semi-transparent blue for HVN zones
Information Tooltip : Optional table showing usage guidelines and optimization tips
📖 Usage Guidelines
Volume Thresholds
LVN Threshold
○ Default: 20.0%
○ Range: 5.0-35.0%
○ Description: Price levels with volume below this percentage are marked as LVNs. Lower values create fewer, more significant levels. Typical range 15-25% works for most instruments.
HVN Threshold
○ Default: 80.0%
○ Range: 65.0-95.0%
○ Description: Price levels with volume above this percentage are marked as HVNs. Higher values create fewer, stronger levels. Range 75-85% is optimal for most trading.
Display Controls
Volume Threshold
○ Default: 1.5
○ Range: 0.5+
○ Description: Multiplier for volume significance (High=2+threshold, Medium=1+threshold, Low=0+threshold). Higher values require more volume for signals.
✅ Best Use Cases
Swing Trading : Identify key levels for position entries and exits over multiple days
Scalping : Use bubbles for immediate volume activity confirmation at critical levels
Risk Management : Place stops beyond LVN levels where price moves quickly
Breakout Trading : Monitor HVN levels for potential breakout or rejection scenarios
Multi-Timeframe Analysis : Combine with higher timeframe levels for confluence
⚠️ Limitations
Timeframe Sensitivity : Lower timeframes may produce too many levels; higher timeframes recommended for cleaner signals
Volume Data Dependency : Accuracy depends on reliable volume data from your data provider
Historical Analysis : Uses past volume data which may not predict future price behavior
Performance Impact : High number of active lines may affect chart performance on slower devices
💡 What Makes This Unique
Automated Session Analysis : No manual drawing required - automatically analyzes multiple sessions
Intelligent Filtering : Advanced separation logic prevents overlapping and conflicting signals
Adaptive Processing : Adjusts to different timeframes automatically for optimal level detection
Dual Visualization System : Combines persistent lines with real-time activity indicators
🔬 How It Works
1. Volume Profile Construction :
Analyzes the last 5 trading sessions with dynamic session length based on timeframe
Divides each session’s price range into 20 equal levels for volume distribution analysis
2. Level Classification :
Calculates volume percentage at each price level relative to session maximum
Identifies LVN levels below threshold and HVN levels above threshold
3. Signal Generation :
Creates bubbles when volume activity exceeds thresholds at identified levels
Draws horizontal lines that persist until price crosses through them
💡 Note : For optimal results, increase your chart timeframe if you see too many levels. The indicator performs best on 15-minute and higher timeframes where volume patterns are more meaningful and less noisy.
Simple Multi-Timeframe Trends with RSI (Realtime)Simple Multi-Timeframe Trends with RSI Realtime Updates
Overview
The Simple Multi-Timeframe Trends with RSI Realtime Updates indicator is a comprehensive dashboard designed to give you an at-a-glance understanding of market trends across nine key timeframes, from one minute (M1) to one month (M).
It moves beyond simple moving average crossovers by calculating a sophisticated Trend Score for each timeframe. This score is then intelligently combined into a single, weighted Confluence Signal , which adapts to your personal trading style. With integrated RSI and divergence detection, SMTT provides a powerful, all-in-one tool to confirm your trade ideas and stay on the right side of the market.
Key Features
Automatic Trading Presets: The most powerful feature of the script. Simply select your trading style, and the indicator will automatically adjust all internal parameters for you:
Intraday: Uses shorter moving averages and higher sensitivity, focusing on lower timeframe alignment for quick moves.
Swing Trading: A balanced preset using medium-term moving averages, ideal for capturing trends that last several days or weeks.
Investment: Uses long-term moving averages and lower sensitivity, prioritizing the major trends on high timeframes.
Advanced Trend Scoring: The trend for each timeframe isn't just "up" or "down". The score is calculated based on a combination of:
Price vs. Moving Average: Is the price above or below the MA?
MA Slope: Is the trend accelerating or decelerating? A steep slope indicates a strong trend.
Price Momentum: How quickly has the price moved recently?
Volatility Adjustment: The score's quality is adjusted based on current market volatility (using ATR) to filter out choppy conditions.
Weighted Confluence Score: The script synthesizes the trend scores from all nine timeframes into a single, actionable signal. The weights are dynamically adjusted based on your selected Trading Style , ensuring the most relevant timeframes have the most impact on the final result.
Integrated RSI & Divergence: Each timeframe includes a smoothed RSI value to help you spot overbought/oversold conditions. It also flags potential bullish (price lower, RSI higher) and bearish (price higher, RSI lower) divergences, which can be early warnings of a trend reversal.
Clean & Customizable Dashboard: The entire analysis is presented in a clean, easy-to-read table on your chart. You can choose its position and optionally display the raw numerical scores for a deeper analysis.
How to Use It
1. Add to Chart: Apply the "Simple Multi-Timeframe Trends" indicator to your chart.
2. Select Your Style: This is the most important step. Go to the indicator settings and choose the Trading Style that best fits your strategy (Intraday, Swing Trading, or Investment). All calculations will instantly adapt.
3. Analyze the Dashboard:
Look at the Trend row to see the direction and strength of the trend on individual timeframes. Strong alignment (e.g., all green or all red) indicates a powerful, market-wide move.
Check the RSI row. Is the trend overextended (RSI > 60) or is there room to run? Look for the fuchsia color, which signals a divergence and warrants caution.
Focus on the Signal row. This is your summary. A "STRONG SIGNAL" with high alignment suggests a high-probability setup. A "NEUTRAL" or "Weak" signal suggests waiting for a better opportunity.
4. Confirm Your Trades: Use the SMTT dashboard as a confirmation tool. For example, if you are looking for a long entry, wait for the dashboard to show a "BULLISH" or "STRONG SIGNAL" to confirm that the broader market structure supports your trade.
Dashboard Legend
Trend Row
This row shows the trend direction and strength for each timeframe.
⬆⬆ (Dark Green): Ultra Bullish - Very strong, established uptrend.
⬆ (Green): Strong Bullish - Confident uptrend.
▲ (Light Green): Bullish - The beginning of an uptrend or a weak uptrend.
━ (Orange): Neutral - Sideways or consolidating market.
▼ (Light Red): Bearish - The beginning of a downtrend or a weak downtrend.
⬇ (Red): Strong Bearish - Confident downtrend.
⬇⬇ (Dark Red): Ultra Bearish - Very strong, established downtrend.
RSI Row
This row displays the smoothed RSI value and its condition.
Green Text: Oversold (RSI < 40). Potential for a bounce or reversal upwards.
Red Text: Overbought (RSI > 60). Potential for a pullback or reversal downwards.
Fuchsia (Pink) Text: Divergence Detected! A potential reversal is forming.
White Text: Neutral (RSI between 40 and 60).
Signal Row
This is the final, weighted confluence of all timeframes.
Label:
🚀 STRONG SIGNAL / 💥 STRONG SIGNAL: High confluence and strong momentum.
🟢 BULLISH / 🔴 BEARISH: Clear directional bias across relevant timeframes.
🟡 Weak + / 🟠 Weak -: Minor directional bias, suggests caution.
⚪ NEUTRAL: No clear directional trend; market is likely choppy or undecided.
Numerical Score: The raw weighted confluence score. The further from zero, the stronger the signal.
Alignment %: The percentage of timeframes (out of 9) that are showing a clear bullish or bearish trend. Higher percentages indicate a more unified market.
BeeQuant - Hive Visualizer💠 OVERVIEW
The " Hive Visualizer " is a game-changing, invite-only tool, expertly designed to give every trader, from beginner to experienced, instant and clear visual clues about what price is doing. Its main job is to easily show you the highest and lowest points price has reached recently. Think of it as a smart, automated helper that colors your candles to reveal powerful market moves. This helps you quickly see if prices are getting stronger or weaker right on your chart. It's a groundbreaking, high-quality tool that cuts through the noise, making it simple to spot key moments when the market is about to make a big move up or down, giving you an edge.
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🧠 CONCEPTS
The core philosophy behind Hive Visualizer is rooted in contextual volatility exposure and directional bias reinforcement. Through a sophisticated internal mechanism that evaluates local maxima/minima behavior within a compact temporal field, the indicator provides adaptive color‑based candle transitions that align with latent directional pressure.
1. Uses localized equilibrium breach detection to monitor directional intent and exhaustion points.
2. Embeds a dynamically updating framework that reacts to both trend continuation and structural reversals.
3. Avoids false positives by disregarding noisy fluctuations below system‑defined relevance thresholds.
4. Provides non‑repainting, fully forward‑confirmed visual outputs for reliable retrospective analysis.
Hive Visualizer is not designed to be predictive. Instead, it allows traders to observe the evolution of price structure in a cleaner and more digestible format, supporting high-confidence discretionary execution or automated model overlays.
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✨ FEATURES
The "Hive Visualizer" comes with a suite of smart features, all designed for amazing clarity, quick reactions, and deeper understanding, making your charting experience truly effortless:
🔹 Easy Range Customization
A super easy "Smoother" setting lets you perfectly adjust how the indicator reacts to recent price changes. This means you can fine-tune it to match exactly how you like to trade
🔹 Instant, Clear Signals
The simple Green and Red candles give you immediate, unmistakable visual cues about strong upward or downward moves, providing insights you can grasp in a heartbeat.
🔹 Smart Continuity in Quiet Times
The clever way it keeps the same color for candles that aren't breaking out offers valuable, subtle insights into those periods when the market is just moving sideways or finding its balance, helping you see the hidden dynamics.
🔹 Seamless Chart Integration
This indicator works like a transparent overlay, appearing directly on your price chart without getting in the way or changing your original candles. It fits perfectly, making your analysis smooth and uninterrupted.
🔹 Clean and Focused Visuals
The indicator’s simple design focuses only on coloring the main candle body and border to clearly highlight important breakouts. This keeps your chart clean and effective, showing you only what truly matters.
🔹 Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Using and making the "Hive Visualizer" a part of your trading routine is incredibly simple and designed to significantly boost how you understand the market:
Getting Started: Once you have access, just add the "Hive Visualizer" indicator to any chart and timeframe you want on TradingView. It's that easy.
Tuning the "Smoother" Setting: Go into the indicator's settings and play with the "Smoother" number. This is a crucial step to make it react just right for you.
Smaller numbers (like 1-3 bars) will make the indicator very quick to react to the most recent, short-term ups and downs, perfect for fast trading.
Larger numbers (like 5-10+ bars) will give you a wider view, smoothing out small changes and highlighting bigger, more important breakouts, ideal for longer-term analysis. Spend a little time trying different settings to find what works best for your chosen asset and your trading style – it's like finding the perfect lens for your market view.
Understanding the Colors: Once you've set it up, here's how to quickly understand what the "Hive Visualizer" is telling you: New Green Candle: This means a strong sign that buyers are in control and prices are likely to keep moving up, giving you confidence in bullish moves.
New Red Candle: This indicates as a strong signal that sellers are dominating and prices are likely to keep moving down, preparing you for bearish shifts.
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⚠️ LIMITATIONS
👉 Visual Guide, Not a Bot: Use as part of a broader strategy—it won’t auto‑trade for you
👉 Retroactive Insight: It reflects past price action; it doesn’t predict the future.
👉 Setting‑Dependent: Effectiveness relies on your “Smoother” choice—too low = noise; too high = lag.
👉 Price‑Range Focused: Highlights trends and range only — doesn’t analyze volume, news, or other complex factors.
👉 This tool enhances trend validation but isn’t a standalone signal generator.
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🎯 CONCLUSION
The "Hive Visualizer" offers an incredibly easy-to-use and adaptable way to see price strength and weakness with crystal clarity on your charts. By giving you instant, clear feedback on whether prices are powerfully breaking out or falling below a recent historical range, it truly empowers you to quickly understand market momentum and spot key turning points. Seamlessly add this smart visual tool into your current trading methods to gain a sharper, more insightful view, and elevate your trading decisions. It's about seeing the market with new eyes.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Visualizer" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
Quantum Shift [MOT]🔷 Quantum Shift — Multi-Timeframe Reversal System with EMA-Based Structure Mapping
Quantum Shift is a multi-timeframe trading system designed to help traders identify high-probability reversal zones, breakout continuations, and trend shifts using a combination of real-time signal detection and structural level plotting.
This tool is built for precision execution — especially for traders working on futures markets, indices, and high-frequency assets using 30-second, 1-minute, and 5-minute charts.
Rather than relying on traditional lagging methods, Quantum Shift combines exponential moving averages, volume-triggered reversal candles, and dynamic structure logic to help you interpret market changes with greater clarity and confluence.
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🔍 What Does It Do?
Quantum Shift continuously monitors price action and trend pressure across multiple timeframes. When the system detects that the current price behavior has reversed direction and aligns across multiple perspectives, it triggers an actionable visual signal. These signals are plotted on the chart with entry zones, optional stop levels, and color-coded background clouds to represent broader trend flow.
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🧠 Core Features & How They Work
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✅ 1. Multi-Timeframe Reversal Signals
At the heart of the script is a custom-built engine that detects momentum reversals using:
Reversal candles (Blue for bullish setups, Purple for bearish setups)
Price relationship to exponential moving averages
Agreement across multiple timeframes (typically current, lower, and higher)
This triple-confirmation approach filters out low-conviction setups and focuses on structural shifts that are likely to result in a directional move.
📸 Image: A blue candle signal forming on a 1-minute chart with green background cloud.
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✅ 2. EMA-Based Support & Resistance Plotting
When a significant crossover occurs between two exponential moving averages, Quantum Shift automatically plots a horizontal level at the crossover price. These levels are interpreted as dynamic support or resistance zones, based on the direction of the signal.
Bullish EMA crossover → support level is plotted
Bearish EMA crossover → resistance level is plotted
These levels appear on 1-minute and 5-minute charts, and remain until they are invalidated by price
If price breaks back through the level in the opposite direction, it is automatically removed
📸 Image: Dynamic support and resistance lines in action — dashed lines represent 1-minute levels, while solid lines indicate 5-minute levels.
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✅ 3. Trend Clouds
Quantum Shift overlays the chart with trend clouds that respond to directional pressure in real time. These zones are calculated using multi-tiered Supertrend logic and provide an at-a-glance way to:
Confirm broader trend bias
Avoid entering against strong directional moves
Visually align entry signals with the current market regime
📸 Image: Background fill transitioning from red to green, with signal appearing shortly after.
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✅ 4. Volume & Risk Filters
To enhance quality and reduce noise, Quantum Shift includes:
Volume spike filtering — signals require above-average volume (configurable)
Stop range limitation — filters out setups with excessive risk
Chop zone detection — suppresses signals in sideways markets
These filters can be toggled and adjusted to suit different strategies and risk profiles.
📸 Image: All possible signal filters in the settings
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✅ 5. Smart Entry Labeling & Dynamic Stop Loss
Upon confirmation of a valid reversal signal:
The script plots a Buy or Sell label at the entry candle
A dynamic stop-loss level is plotted below/above the reversal point
Alerts can be triggered based on:
Initial candle formation
Breakout of the trigger candle
Confluence of trend filters and volume
📸 Image: A “Sell” label and dynamic stop plotted above purple reversal candle.
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✅ 6. Multi-Timeframe Trend Table
The live dashboard provides a simplified view of trend alignment and recent signals across timeframes:
Lower timeframe trend state
Higher timeframe trend state
Last signal candle type
Timeframe labels for clarity
This allows traders to confirm confluence without switching between charts.
📸 Image: Trend table showing last trend and candle state on HTF and LTF
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⚙️ Customizable Settings
Quantum Shift is built with flexibility in mind. You can:
• Toggle between fast or slow trend models per timeframe
• Enable/disable filters for volume, chop, trend alignment, and stop distance
• Choose whether entries occur on the trigger candle or the breakout
• Adjust all visuals including cloud transparency, line widths, label offsets
• Use on both premium and non-premium TradingView accounts
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🧩 Designed For:
• Futures scalpers working with NQ, ES, MNQ, RTY, etc.
• Intraday traders who need clarity during volatility spikes
• Traders who want EMA structure + price confirmation + trend confluence
• Anyone seeking a visual, rule-based system for reacting to real-time market behavior
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🔔 Alerts Built In
• Reversal trigger detection
• Breakout confirmation
• Multi-timeframe trend shift
• Invalidated stop zones
• Complete entry-ready alert logic
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⚠️ Disclaimer
This script is for educational and informational purposes only. It does not provide financial advice, and past performance does not guarantee future results. Trading carries risk, and all decisions are your responsibility. Redistribution or unauthorized use is strictly prohibited.
Intraday BUY/SELL & AUTO SL (5-min timeframe only) by chaitu50c)Intraday BUY/SELL & AUTO SL (5-min timeframe only) by chaitu50c
This indicator provides intraday traders with BUY/SELL reversal signals and automated SL (Stoploss) tracking, based on a 3-candle reversal block logic — designed to work exclusively on the 5-min timeframe.
Key Features:
• 3-Candle Reversal Logic — Signals are generated when a defined 3-candle reversal pattern is detected (body-close breakout).
• Current Session Only — All signals and SL lines are valid only for the current session and automatically reset at session start.
• BUY/SELL Signal Labels — Visual ▲ and ▼ labels mark valid reversal signals on the chart.
• Dynamic Auto SL Lines — Plots dashed SL lines based on the reversal block's low/high.
• SL HIT Tracking — If SL is broken, the line stops extending and a ‘SL HIT’ label is displayed at the midpoint of the SL line.
• Adjustable Visual Settings — Customize signal label size, SL line width, colors, and more.
• Clean & Lightweight — Optimized for intraday use without cluttering the chart.
How to Use:
You can trade this indicator in two ways:
1. Direct Signal Entry — Take a BUY or SELL trade when a valid ▲/▼ reversal signal forms.
2. SL HIT Re-entry — If an existing SL line is broken and ‘SL HIT’ appears, you can optionally take an opposite side trade in the direction of the SL HIT.
Example:
A BUY signal is generated and an SL line is plotted below.
If price breaks the SL (SL HIT appears), you may consider entering a SELL trade at that point — as it indicates weakness.
Important Notes:
• Works only on 5-min timeframe — Set your chart to 5-min for correct behavior.
• Designed for intraday trading — all signals and SL levels reset at session start.
• Does not carry signals between sessions.
• SL lines and HIT labels provide a clear and simple visual aid for trade management.
---
RSI Divergence Pro+ VolumeRSI Divergence Pro+ Volume
What It Does:
RSI Divergence Pro+ Volume is a non-repainting indicator that helps traders spot potential bullish and bearish reversal zones using a classic technical analysis concept—RSI divergence—combined with advanced volume confirmation. The script highlights moments when price and RSI disagree, filtering for signals only when there is a significant volume spike, which helps reduce false positives in quiet or illiquid markets.
How It Works:
Bullish Divergence: Triggered when price makes a lower low but RSI forms a higher low, suggesting possible exhaustion in selling pressure.
Bearish Divergence: Triggered when price makes a higher high but RSI forms a lower high, signaling potential buying exhaustion.
Volume Confirmation: Signals only appear when trading volume exceeds a dynamic threshold (based on a user-defined moving average and multiplier), making alerts more reliable.
Visual Features: Customizable labels and optional gradient highlights mark the exact bars where divergence with volume confirmation occurs, making signals easy to see.
Alert System: Built-in alerts for both bullish and bearish divergences so traders can receive instant notifications.
How to Use:
Apply the script to any timeframe or liquid asset (15m–4H recommended for best results).
Watch for green “BULL↑” labels below bars (bullish divergence) and red “BEAR↓” labels above bars (bearish divergence).
Blue/violet background highlights confirm volume-verified signals.
Combine with your own risk management and confirmation tools for trade entries/exits.
Adjust lookback and volume settings to match your asset and style.
Originality & Usefulness:
This indicator stands out by combining traditional RSI divergence with advanced volume filtering, giving more credible and actionable reversal alerts. All logic is non-repainting and calculated on closed bars only. Settings are fully grouped and customizable, with professional visuals for clarity.
Limitations & Disclaimers:
Not every divergence results in a major reversal—use with other analysis.
More effective in trending or volatile markets; may produce more false signals in choppy/range conditions.
Signals are generated on bar close and do not repaint.
No indicator is a substitute for proper trading discipline and risk management.
Volatility-Adjusted Momentum Score (VAMS) [QuantAlgo]🟢 Overview
The Volatility-Adjusted Momentum Score (VAMS) measures price momentum relative to current volatility conditions, creating a normalized indicator that identifies significant directional moves while filtering out market noise. It divides annualized momentum by annualized volatility to produce scores that remain comparable across different market environments and asset classes.
The indicator displays a smoothed VAMS Z-Score line with adaptive standard deviation bands and an information table showing real-time metrics. This dual-purpose design enables traders and investors to identify strong trend continuation signals when momentum persistently exceeds normal levels, while also spotting potential mean reversion opportunities when readings reach statistical extremes.
🟢 How It Works
The indicator calculates annualized momentum using a simple moving average of logarithmic returns over a specified period, then measures annualized volatility through the standard deviation of those same returns over a longer timeframe. The raw VAMS score divides momentum by volatility, creating a risk-adjusted measure where high volatility reduces scores and low volatility amplifies them.
This raw VAMS value undergoes Z-Score normalization using rolling statistical parameters, converting absolute readings into standardized deviations that show how current conditions compare to recent history. The normalized Z-Score receives exponential moving average smoothing to create the final VAMS line, reducing false signals while preserving sensitivity to meaningful momentum changes.
The visualization includes dynamically calculated standard deviation bands that adjust to recent VAMS behavior, creating statistical reference zones. The information table provides real-time numerical values for VAMS Z-Score, underlying momentum percentages, and current volatility readings with trend indicators.
🟢 How to Use
1. VAMS Z-Score Bands and Signal Interpretation
Above Mean Line: Momentum exceeds historical averages adjusted for volatility, indicating bullish conditions suitable for trend following
Below Mean Line: Momentum falls below statistical norms, suggesting bearish conditions or downward pressure
Mean Line Crossovers: Primary transition signals between bullish and bearish momentum regimes
1 Standard Deviation Breaks: Strong momentum conditions indicating statistically significant directional moves worth following
2 Standard Deviation Extremes: Rare momentum readings that often signal either powerful breakouts or exhaustion points
2. Information Table and Market Context
Z-Score Values: Current VAMS reading displayed in standard deviations (σ), showing how far momentum deviates from its statistical norm
Momentum Percentage: Underlying annualized momentum displayed as percentage return, quantifying the directional strength
Volatility Context: Current annualized volatility levels help interpret whether VAMS readings occur in high or low volatility environments
Trend Indicators: Directional arrows and change values provide immediate feedback on momentum shifts and market transitions
3. Strategy Applications and Alert System
Trend Following: Use sustained readings beyond the mean line and 1σ band penetrations for directional trades, especially when VAMS maintains position in upper or lower statistical zones
Mean Reversion: Focus on 2σ extreme readings for contrarian opportunities, particularly effective in sideways markets where momentum tends to revert to statistical norms
Alert Notifications: Built-in alerts for mean crossovers (regime changes), 1σ breaks (strong signals), and 2σ touches (extreme conditions) help monitor multiple instruments for both continuation and reversal setups
Aqua MTF Stochastic Oscillator——————————————————————————————————————————————————————————
The Aqua Multi-Timeframe (MTF) Stochastic Oscillator is a comprehensive momentum analysis tool that synthesizes
stochastic data from up to five distinct, user-configurable sources and timeframes into a single, unified view.
--- CORE CONCEPT ---
Traditional oscillators provide insight into one specific timeframe. This indicator overcomes that limitation by
aggregating momentum readings from multiple timeframes. The core principle is to gauge the confluence of momentum
across different market cycles. A strong trend is often characterized by aligned momentum across short-term,
medium-term, and long-term perspectives. This tool visualizes that alignment in a clear, intuitive oscillator.
--- METHODOLOGY ---
For each of the five analysis slots, the script calculates the Stochastic %K line and its corresponding %D signal line.
To allow for direct comparison and weighting, each of these standard 0-100 oscillator values is then normalized
to a bipolar scale of -100 to +100, where 0 represents the neutral midline.
These normalized scores are then blended, according to user-defined weights, into two master composite lines:
1. A master "Score Line" representing the weighted average of the raw %K momentum values.
2. A master "Signal Line" representing the weighted average of the smoothed %D signal values.
--- KEY FEATURES ---
• Multi-Timeframe & Multi-Symbol Analysis: Configure up to five slots, each with its own symbol, timeframe, price source, and stochastic settings.
• Normalized Momentum Scale: All stochastic values are re-scaled to a -100 to +100 range, providing a standardized measure of momentum. Values above 0 indicate bullish momentum, while values below 0 indicate bearish momentum.
• Weighted Composite Score: User-defined weights allow for prioritizing certain timeframes, creating a custom-tailored final momentum reading.
• Dynamic Color-Coding: The color of the master Score Line and each individual timeframe's line instantly changes based on its position relative to its signal line (%K vs. %D). This provides immediate visual feedback on momentum acceleration (bullish) or deceleration (bearish).
--- HOW TO INTERPRET ---
• Crossovers: The interaction between the master Score Line and the Signal Line can be used to identify potential shifts in momentum, similar to a traditional MACD.
• Line Color: The color of the master Score Line itself serves as a primary signal. A bullish color indicates that overall raw momentum is leading smoothed momentum, and vice-versa.
• Overbought/Oversold Levels: Extreme readings near the +100 or -100 levels suggest that the aggregated momentum may be overextended and due for a reversion.
• Zero Line Crosses: When the oscillator crosses above the zero line, it signals that the balance of momentum has shifted to positive territory. A cross below zero signals a shift to negative territory.
• Divergence: Look for divergences where price makes a new high or low, but the oscillator fails to confirm it. This can often signal a pending reversal.
Author: Aquaritek
——————————————————————————————————————————————————————————
ACE FVG & IFVG Trading System1. What the Script Does
The "ACE FVG & IFVG Trading System " is a TradingView Pine Script (version 5) that identifies and trades Fair Value Gaps (FVGs) and Inverse Fair Value Gaps (IFVGs). It offers:
Detection of bullish/bearish FVGs and IFVGs with customizable parameters.
Multiple entry types: regular FVG retracement, Break of Structure (BOS), breakaway gaps, and Immediate/Retrace IFVG entries.
A pending setup system showing potential trades before they trigger.
Risk management with configurable stop loss (SL) and take profit (TP) based on FVG levels, swing points, or risk-reward ratios.
Market structure analysis using swing highs/lows, BOS, and Market Structure Shifts (MSS).
Time filters to restrict trading to specific sessions.
Visualizations including FVG boxes, trade boxes, pivot lines, and labels.
Entry and performance tables displaying trade details and metrics like win rates and P&L by entry type.
2. How It Works
The script is organized into modular sections for efficient execution:
Inputs: Extensive customization options (e.g., FVG size, entry types, SL/TP modes, time filters) grouped for clarity.
Data Structures: Custom types (FVGData, SwingPoint, EntryData) store FVG, pivot, and trade data in arrays.
Utility Functions: Handle calculations like risk-reward ratios, time validation, and trade size filtering.
Swing Point Detection: Uses ta.pivothigh/ta.pivotlow to identify pivots, supporting BOS/MSS and SL/TP calculations.
FVG Detection: Identifies regular FVGs (low > high or high < low ) and IFVGs (mitigated FVGs with immediate or retrace signals).
Entry Logic: Triggers trades based on user-enabled conditions (e.g., retracement, BOS, breakaway gaps) with dynamic SL/TP.
Trade Management: Tracks active/pending trades, updates visualizations (boxes, lines, labels), and handles cancellations/invalidations.
Main Logic: Executes on each bar to detect FVGs, process entries, update trades, and manage visualizations.
Tables: Displays recent trades and performance stats (e.g., win rates by entry type) on the last bar.
Pivot Visualization: Plots swing points with dynamic extensions and mitigation status (solid/dotted lines).
3. How to Use It
Add to TradingView:
Open Pine Editor, paste the script, save it, and add to chart.
Configure Inputs:
Access settings via chart (right-click indicator > Settings).
Adjust:
fvgMinSize for market volatility (e.g., 5 for forex).
Entry types (e.g., enable IFVG, disable breakaway gaps).
SL/TP modes and minimum R:R (e.g., 2.0 for 1:2).
Time filters for active sessions (e.g., 09:30-16:00).
Visual settings (box transparency, table positions).
Interpret Output:
FVG Boxes: Green (bullish), red (bearish), purple (IFVG/mitigated).
Trade Boxes: Gray-green/red-gray (pending), green/red (active), updated for win/loss.
Pivot Lines: Solid (unmitigated), dotted (mitigated).
Tables: Entry table shows trade details; performance table shows win rates/P&L.
Trading:
Monitor pending setups for entry signals.
Enter manually at active trade levels, following SL/TP.
Use performance stats to refine settings.
Test on demo charts and adjust for market/timeframe.
Best Practices:
Use higher timeframes (e.g., 1H, 4H) for less noise.
Combine with other analysis (e.g., support/resistance).
Backtest using TradingView’s replay feature.
Originality
The script is original due to its unique combination of features:
Enhanced IFVG Strategy: Dual Immediate/Retrace IFVG modes with a novel “Immediate Then Retrace” preference.
Pending Setup System: Proactive visualization of potential trades with auto-cancellation.
Granular Performance Tracking: Detailed breakdown of win rates/P&L by entry type (regular FVG, IFVG, breakaway).
Dynamic Pivot Visualization: Real-time mitigation updates (solid to dotted lines).
Modular Design: Custom types and organized logic for extensibility. It builds on general FVG concepts (e.g., from ICT) but implements unique logic and features not found in standard
TradingView FVG scripts, distinguishing it from both open-source and premium indicators.
Credit of Concepts to ICT
Collaborations with JMAC and Timeless
Heikin RiderHeikin Rider
Smoothed Heikin Ashi Breakout Signals with Flow Confirmation
by Ben Deharde, 2025
Overview:
Heikin Rider is a trend-following indicator that detects clean breakout signals using a custom smoothed Heikin Ashi wave (the H-Wave) with optional confirmation from a flow-based filter. It's designed for traders who want precise, momentum-aligned entries.
What It Does:
Plots dynamic high/low bands from smoothed Heikin Ashi candles.
Triggers Buy/Sell signals on full candle breakouts above/below the wave.
Colors bars based on price position and momentum relative to a custom flow line.
Optionally filters signals based on flow direction.
How the H-Wave Works:
The H-Wave is a two-stage smoothed Heikin Ashi construction:
Pre-smoothing: Price is smoothed using a short-length MA (SMA, EMA, or HMA).
HA Calculation: Heikin Ashi values are calculated from the smoothed data.
Post-smoothing: A second, longer MA is applied to the HA values.
Wave Envelope: The high and low wicks of the final smoothed HA candles form the H-Wave envelope.
Signals are generated when price fully breaks this envelope, with optional confirmation from the flow color.
Inputs:
Trend timeframe
Pre/Post smoothing type and length
Flow MA type and length
Toggle for bar coloring and signal filtering
Notes:
Built with original logic, using the open-source TAExt library (credited).
No repainting — all signals are confirmed at close.
For use on standard candles only (not HA or Renko).
Alerts:
Long Signal (Buy)
Short Signal (Sell)
Previous Daily High/LowThe previous day’s high and low are critical price levels that traders use to identify potential support, resistance, and intraday trading opportunities. These levels represent the highest and lowest prices reached during the prior trading session and often act as reference points for future price action.
Why Are Previous Daily High/Low Important?
Support & Resistance Zones
The previous day’s low often acts as support (buyers defend this level).
The previous day’s high often acts as resistance (sellers defend this level).
Breakout Trading
A move above the previous high suggests bullish momentum.
A move below the previous low suggests bearish momentum.
Mean Reversion Trading
Traders fade moves toward these levels, expecting reversals.
Example: Buying near the previous low in an uptrend.
Institutional Order Flow
Market makers and algos often reference these levels for liquidity.
How to Use Previous Daily High/Low in Trading
1. Breakout Strategy
Long Entry: Price breaks & closes above previous high → bullish continuation.
Short Entry: Price breaks & closes below previous low → bearish continuation.
2. Reversal Strategy
Long at Previous Low: If price pulls back to the prior day’s low in an uptrend.
Short at Previous High: If price rallies to the prior day’s high in a downtrend.
3. Range-Bound Markets
Buy near previous low, sell near previous high if price oscillates between them.
Example Trade Setup
Scenario: Price opens near the previous day’s high.
Bullish Case: A breakout above it targets next resistance.
Bearish Case: Rejection at the high signals a pullback.
Step Channel Momentum Trend [ChartPrime]OVERVIEW
Step Channel Momentum Trend is a momentum-based price filtering system that adapts to market structure using pivot levels and ATR volatility. It builds a dynamic channel around a stepwise midline derived from swing highs and lows. The system colors price candles based on whether price remains inside this channel (low momentum) or breaks out (strong directional flow). This allows traders to clearly distinguish ranging conditions from trending ones and take action accordingly.
⯁ STRUCTURAL MIDLNE (STEP CHANNEL CORE)
The midline acts as the backbone of the trend system and is based on structure rather than smoothing.
Calculated as the average of the most recent confirmed Pivot High and Pivot Low.
The result is a step-like horizontal line that only updates when new pivot points are confirmed.
This design avoids lag and makes the line "snap" to recent structural shifts.
It reflects the equilibrium level between recent bullish and bearish control.
This unique step logic creates clear regime shifts and prevents noise from distorting trend interpretation.
⯁ DYNAMIC VOLATILITY BANDS (ATR FILTERING)
To detect momentum strength, the script constructs upper and lower bands using the ATR (Average True Range):
The distance from the midline is determined by ATR × multiplier (default: 200-period ATR × 0.6).
These bands adjust dynamically to volatility, expanding in high-ATR environments and contracting in calm markets.
The area between upper and lower bands represents a neutral or ranging market state.
Breakouts outside the bands are treated as significant momentum shifts.
This filtering approach ensures that only meaningful breakouts are visually emphasized — not every candle fluctuation.
⯁ MOMENTUM-BASED CANDLE COLORING
The system visually transforms price candles into momentum indicators:
When price (hl2) is above the upper band, candles are green → bullish momentum.
When price is below the lower band, candles are red → bearish momentum.
When price is between the bands, candles are orange → low or no momentum (range).
The candle body, wick, and border are all colored uniformly for visual clarity.
This gives traders instant feedback on when momentum is expanding or fading — ideal for breakout, pullback, or trend-following strategies.
⯁ PIVOT-BASED SWING ANCHORS
Each confirmed pivot is plotted as a label ⬥ directly on the chart:
They also serve as potential manual entry zones, SL/TP anchors, or confirmation points.
⯁ MOMENTUM STATE LABEL
To reinforce the current market mode, a live label is displayed at the most recent candle:
Displays either:
“ Momentum Up ” when price breaks above the upper band.
“ Momentum Down ” when price breaks below the lower band.
“ Range ” when price remains between the bands.
Label color matches the candle color for quick identification.
Automatically updates on each bar close.
This helps discretionary traders filter trades based on market phase.
USAGE
Use the green/red zones to enter with momentum and ride trending moves.
Use the orange zone to stay out or fade ranges.
The step midline can act as a breakout base, pullback anchor, or bias reference.
Combine with other indicators (e.g., order blocks, divergences, or volume) to build high-confluence systems.
CONCLUSION
Step Channel Momentum Trend gives traders a clean, adaptive framework for identifying trend direction, volatility-based breakouts, and ranging environments — all from structural logic and ATR responsiveness. Its stepwise midline provides clarity, while its dynamic color-coded candles make momentum shifts impossible to miss. Whether you’re scalping intraday momentum or managing swing entries, this tool helps you trade with the market’s rhythm — not against it.
YZH super wma modelYZH Super WMA Model
Overview
The "YZH Super WMA Model" is a customizable technical analysis indicator built in Pine Script v5 for TradingView. It generates trading signals using three configurable moving averages (MA1, MA2, MA3) and a wick-based filter to enhance signal accuracy. The indicator is overlaid on the price chart and supports multiple MA types: SMA, EMA, WMA, HMA, RMA, and VWMA.
Features
Flexible Moving Averages:
Three MAs (MA1, MA2, MA3) with customizable types and periods.
Default settings: MA1 (50-period SMA), MA2 (200-period HMA), MA3 (100-period EMA).
Adjustable visibility, colors, and line widths.
Wick-Based Filter:
Uses a wick ratio threshold (default: 0.5) to filter signals based on candle wick size.
Enhances signal reliability by focusing on significant wick patterns.
Signal and Trend Logic:
Signal MA (default: MA1) generates entry signals; trend MA (default: MA2) filters trend direction.
Long signals: Price crosses above signal MA, closes above trend MA, with sufficient lower wick.
Short signals: Price crosses below signal MA, closes below trend MA, with sufficient upper wick.
Signals confirmed within a user-defined bar range (default: 5).
Visualization:
Long signals: Green upward triangles below bars, labeled "L".
Short signals: Red downward triangles above bars, labeled "S".
Optional setup points and information table for enhanced analysis.
Alerts:
Triggers alerts on confirmed signals with detailed messages including signal type, MA settings, and price.
Recommended Settings
SMA20-SMA200: For swing trading, capturing short-term vs. long-term trends.
SMA50-HMA200: For trend-following, balancing medium-term signals with smooth long-term trends.
WMA48-WMA200: For volatile markets, emphasizing recent price action.
WMA174-SMA200: For higher time frame (HTF) trend following, ideal for long-term analysis.
Use Cases
Trend following, reversal trading, and customizable strategies.
Suitable for various markets (stocks, forex, crypto) and timeframes.
How to Use
Add to TradingView chart.
Configure MA types, periods, and colors.
Adjust wick threshold and trigger bars.
Enable visualizations and alerts as needed.
Conclusion
The "YZH Super WMA Model" is a robust tool for traders seeking reliable, customizable signals. Backtest the recommended settings to optimize for your market and timeframe.
TIME-SPLT ACADEMY INDICATOR# TIME-SPLT ACADEMY CISD + FVG + TSM FRACTALS - Comprehensive Market Structure Analysis Tool
## Overview
This indicator combines three essential market structure analysis components into a unified trading tool: Change in State Direction (CISD), Fair Value Gaps (FVG), and TSM Fractals. This integration provides traders with a complete framework for identifying market structure breaks, price imbalances, and key pivot levels on any timeframe.
## Component 1: CISD (Change in State Direction)
**What it is:** CISD identifies significant breaks in market structure by tracking when price decisively breaks above previous swing highs (bullish CISD) or below previous swing lows (bearish CISD). This concept is fundamental to understanding trend changes and continuation patterns.
**How it works:**
- Monitors swing highs and lows using customizable pivot periods
- Tracks when price closes above a previous swing high (bullish structure break)
- Tracks when price closes below a previous swing low (bearish structure break)
- Draws horizontal lines from the pivot point to the break point with "CISD" labels
- Works on multiple timeframes simultaneously
**Trading Applications:**
- Identifies trend changes and continuation signals
- Provides entry signals on structure breaks
- Helps determine market bias and direction
## Component 2: FVG (Fair Value Gaps)
**What it is:** Fair Value Gaps are price imbalances that occur when there's a gap between the high of one candle and the low of another candle two periods later, with the middle candle not filling this gap. These represent areas where price moved inefficiently and often return to "fill" the gap.
**How it works:**
- Analyzes 3-candle patterns to identify gaps
- Bearish FVG: Gap between low and high where price dropped leaving unfilled space above
- Bullish FVG: Gap between high and low where price rose leaving unfilled space below
- Tracks 8 different candle body combinations for each direction (up, down, doji patterns)
- Monitors gap mitigation when price returns to fill the imbalance
- Changes color when gaps are partially or fully mitigated
**Gap Detection Logic:**
- Bearish FVG patterns: DDD, DDJ, JDD, UDJ, JDU, UDD, DDU, UDU
- Bullish FVG patterns: DUD, DUJ, JUD, UUJ, JUU, UUD, DUU, UUU
- (D=Down candle, U=Up candle, J=Doji candle)
**Trading Applications:**
- High-probability reversal zones when price returns to FVGs
- Support and resistance levels
- Target areas for limit orders
- Risk management reference points
## Component 3: TSM Fractals
**What it is:** TSM Fractals identify significant pivot highs and lows using Williams Fractal methodology. These mark potential reversal points and key support/resistance levels.
**How it works:**
- Identifies fractal highs: peaks where the center candle's high is higher than surrounding candles
- Identifies fractal lows: valleys where the center candle's low is lower than surrounding candles
- Uses customizable lookback periods (default 15) for fractal identification
- Displays horizontal lines with "$" symbols at fractal levels
- Maintains a configurable number of recent fractals on the chart
**Trading Applications:**
- Key support and resistance levels
- Potential reversal zones
- Confluence with other analysis tools
- Stop loss placement reference points
## Why This Combination Works
**Synergistic Analysis:** Each component provides different but complementary information:
1. **CISD** shows when market structure changes, indicating trend shifts or continuation
2. **FVGs** reveal where price has moved inefficiently and may return for rebalancing
3. **Fractals** highlight key pivot points that often act as support/resistance
**Trading Edge:** The combination allows for:
- **Entry Confirmation:** Wait for CISD breaks near unfilled FVGs at fractal levels
- **Risk Management:** Use FVG boundaries and fractal levels for stop placement
- **Target Selection:** Project moves to opposite FVGs or fractal levels
- **Market Context:** Understand whether you're trading with or against structure
## Key Features
**Multi-Timeframe CISD:**
- Customizable timeframe settings (Minute, Hour, Day, Week, Month)
- Adjustable swing length for pivot identification
- Customizable line styles, widths, and colors
- Optional alerts on structure breaks
**Advanced FVG Management:**
- Automatic gap size filtering
- Real-time mitigation tracking
- Color-coded active vs. mitigated gaps
- Optional pip value labels
- Large gap alerts for significant imbalances
**Intelligent Fractal Display:**
- Configurable fractal periods
- Maximum fractal count management
- Clean visual presentation
- Historical fractal preservation
## Settings & Customization
**CISD Settings:**
- Timeframe selection and multipliers
- Swing length adjustment (default 7)
- Line styling options
- Color customization for bullish/bearish breaks
- Alert toggle options
**FVG Settings:**
- Show/hide toggles for each direction
- Minimum gap size filtering
- Alert threshold for large gaps
- Color schemes for active and mitigated gaps
- Optional size labels in pips
**Fractal Settings:**
- Fractal period adjustment (default 15)
- Maximum display count (default 10)
- Show/hide toggle
## Educational Value
This indicator teaches traders to:
- Understand market structure concepts
- Recognize price inefficiencies
- Identify key pivot points
- Combine multiple analysis methods
- Develop systematic trading approaches
## Use Cases
**Swing Trading:** Identify major structure breaks with FVG confluence
**Day Trading:** Use lower timeframe CISDs with intraday FVGs
**Scalping:** Quick entries at FVG mitigation near fractal levels
**Position Trading:** Higher timeframe structure analysis with major FVGs
## Technical Implementation
- Utilizes Pine Script v6 for optimal performance
- Efficient array management for historical data
- Real-time calculations without repainting
- Memory-optimized box and line management
- Multi-timeframe data handling with proper security functions
This comprehensive tool eliminates the need for multiple separate indicators, providing everything needed for complete market structure analysis in one cohesive package. The educational component helps traders understand not just what the signals are, but why they work and how to use them effectively in different market conditions.
Daily Trading Barometer (DTB) with DJIA OverlayThe "Daily Trading Barometer (DTB) with DJIA Overlay" is a custom technical indicator designed to identify intermediate-term overbought and oversold conditions in the stock market, inspired by Edson Gould's original DTB methodology. This indicator combines three key components:
A 7-day advance-decline oscillator, a 20-day volume oscillator, and a 28-day DJIA price ratio, normalized into a composite index scaled around 110–135. Values below 110 signal potential oversold conditions, while values above 135 indicate overbought territory, aiding in timing market reversals.
The overlay of a normalized DJIA plot allows for visual correlation with the broader market trend. Use this tool to anticipate turning points in oscillating markets, though it’s best combined with other indicators for confirmation. Ideal for traders seeking probabilistic insights into bear or bull market transitions.
How to use -
If the DTB line (blue) and normalized DJIA (orange) are under the green dashed line, high probability for a long and reversal.
Use with the symbol SPX/QQQ
Dow Jones Industrial Average - DJIA
Strategic LevelsIntroduction
The Strategic Levels indicator plots key high and low price levels for monthly, weekly, daily, and Monday (current week) timeframes. It draws horizontal lines with consolidated labels to highlight significant support and resistance zones.
How to use it ?
Identify critical price levels for trade entries, exits, and risk management.
These prices levels (monthly, weekly, daily open/close) are significant inflection points during short term price movements.
Perfect for swing traders, day traders, or anyone using support/resistance strategies.
Best used for trades lasting no more than a few days.
Tensor Market Analysis Engine (TMAE)# Tensor Market Analysis Engine (TMAE)
## Advanced Multi-Dimensional Mathematical Analysis System
*Where Quantum Mathematics Meets Market Structure*
---
## 🎓 THEORETICAL FOUNDATION
The Tensor Market Analysis Engine represents a revolutionary synthesis of three cutting-edge mathematical frameworks that have never before been combined for comprehensive market analysis. This indicator transcends traditional technical analysis by implementing advanced mathematical concepts from quantum mechanics, information theory, and fractal geometry.
### 🌊 Multi-Dimensional Volatility with Jump Detection
**Hawkes Process Implementation:**
The TMAE employs a sophisticated Hawkes process approximation for detecting self-exciting market jumps. Unlike traditional volatility measures that treat price movements as independent events, the Hawkes process recognizes that market shocks cluster and exhibit memory effects.
**Mathematical Foundation:**
```
Intensity λ(t) = μ + Σ α(t - Tᵢ)
```
Where market jumps at times Tᵢ increase the probability of future jumps through the decay function α, controlled by the Hawkes Decay parameter (0.5-0.99).
**Mahalanobis Distance Calculation:**
The engine calculates volatility jumps using multi-dimensional Mahalanobis distance across up to 5 volatility dimensions:
- **Dimension 1:** Price volatility (standard deviation of returns)
- **Dimension 2:** Volume volatility (normalized volume fluctuations)
- **Dimension 3:** Range volatility (high-low spread variations)
- **Dimension 4:** Correlation volatility (price-volume relationship changes)
- **Dimension 5:** Microstructure volatility (intrabar positioning analysis)
This creates a volatility state vector that captures market behavior impossible to detect with traditional single-dimensional approaches.
### 📐 Hurst Exponent Regime Detection
**Fractal Market Hypothesis Integration:**
The TMAE implements advanced Rescaled Range (R/S) analysis to calculate the Hurst exponent in real-time, providing dynamic regime classification:
- **H > 0.6:** Trending (persistent) markets - momentum strategies optimal
- **H < 0.4:** Mean-reverting (anti-persistent) markets - contrarian strategies optimal
- **H ≈ 0.5:** Random walk markets - breakout strategies preferred
**Adaptive R/S Analysis:**
Unlike static implementations, the TMAE uses adaptive windowing that adjusts to market conditions:
```
H = log(R/S) / log(n)
```
Where R is the range of cumulative deviations and S is the standard deviation over period n.
**Dynamic Regime Classification:**
The system employs hysteresis to prevent regime flipping, requiring sustained Hurst values before regime changes are confirmed. This prevents false signals during transitional periods.
### 🔄 Transfer Entropy Analysis
**Information Flow Quantification:**
Transfer entropy measures the directional flow of information between price and volume, revealing lead-lag relationships that indicate future price movements:
```
TE(X→Y) = Σ p(yₜ₊₁, yₜ, xₜ) log
```
**Causality Detection:**
- **Volume → Price:** Indicates accumulation/distribution phases
- **Price → Volume:** Suggests retail participation or momentum chasing
- **Balanced Flow:** Market equilibrium or transition periods
The system analyzes multiple lag periods (2-20 bars) to capture both immediate and structural information flows.
---
## 🔧 COMPREHENSIVE INPUT SYSTEM
### Core Parameters Group
**Primary Analysis Window (10-100, Default: 50)**
The fundamental lookback period affecting all calculations. Optimization by timeframe:
- **1-5 minute charts:** 20-30 (rapid adaptation to micro-movements)
- **15 minute-1 hour:** 30-50 (balanced responsiveness and stability)
- **4 hour-daily:** 50-100 (smooth signals, reduced noise)
- **Asset-specific:** Cryptocurrency 20-35, Stocks 35-50, Forex 40-60
**Signal Sensitivity (0.1-2.0, Default: 0.7)**
Master control affecting all threshold calculations:
- **Conservative (0.3-0.6):** High-quality signals only, fewer false positives
- **Balanced (0.7-1.0):** Optimal risk-reward ratio for most trading styles
- **Aggressive (1.1-2.0):** Maximum signal frequency, requires careful filtering
**Signal Generation Mode:**
- **Aggressive:** Any component signals (highest frequency)
- **Confluence:** 2+ components agree (balanced approach)
- **Conservative:** All 3 components align (highest quality)
### Volatility Jump Detection Group
**Volatility Dimensions (2-5, Default: 3)**
Determines the mathematical space complexity:
- **2D:** Price + Volume volatility (suitable for clean markets)
- **3D:** + Range volatility (optimal for most conditions)
- **4D:** + Correlation volatility (advanced multi-asset analysis)
- **5D:** + Microstructure volatility (maximum sensitivity)
**Jump Detection Threshold (1.5-4.0σ, Default: 3.0σ)**
Standard deviations required for volatility jump classification:
- **Cryptocurrency:** 2.0-2.5σ (naturally volatile)
- **Stock Indices:** 2.5-3.0σ (moderate volatility)
- **Forex Major Pairs:** 3.0-3.5σ (typically stable)
- **Commodities:** 2.0-3.0σ (varies by commodity)
**Jump Clustering Decay (0.5-0.99, Default: 0.85)**
Hawkes process memory parameter:
- **0.5-0.7:** Fast decay (jumps treated as independent)
- **0.8-0.9:** Moderate clustering (realistic market behavior)
- **0.95-0.99:** Strong clustering (crisis/event-driven markets)
### Hurst Exponent Analysis Group
**Calculation Method Options:**
- **Classic R/S:** Original Rescaled Range (fast, simple)
- **Adaptive R/S:** Dynamic windowing (recommended for trading)
- **DFA:** Detrended Fluctuation Analysis (best for noisy data)
**Trending Threshold (0.55-0.8, Default: 0.60)**
Hurst value defining persistent market behavior:
- **0.55-0.60:** Weak trend persistence
- **0.65-0.70:** Clear trending behavior
- **0.75-0.80:** Strong momentum regimes
**Mean Reversion Threshold (0.2-0.45, Default: 0.40)**
Hurst value defining anti-persistent behavior:
- **0.35-0.45:** Weak mean reversion
- **0.25-0.35:** Clear ranging behavior
- **0.15-0.25:** Strong reversion tendency
### Transfer Entropy Parameters Group
**Information Flow Analysis:**
- **Price-Volume:** Classic flow analysis for accumulation/distribution
- **Price-Volatility:** Risk flow analysis for sentiment shifts
- **Multi-Timeframe:** Cross-timeframe causality detection
**Maximum Lag (2-20, Default: 5)**
Causality detection window:
- **2-5 bars:** Immediate causality (scalping)
- **5-10 bars:** Short-term flow (day trading)
- **10-20 bars:** Structural flow (swing trading)
**Significance Threshold (0.05-0.3, Default: 0.15)**
Minimum entropy for signal generation:
- **0.05-0.10:** Detect subtle information flows
- **0.10-0.20:** Clear causality only
- **0.20-0.30:** Very strong flows only
---
## 🎨 ADVANCED VISUAL SYSTEM
### Tensor Volatility Field Visualization
**Five-Layer Resonance Bands:**
The tensor field creates dynamic support/resistance zones that expand and contract based on mathematical field strength:
- **Core Layer (Purple):** Primary tensor field with highest intensity
- **Layer 2 (Neutral):** Secondary mathematical resonance
- **Layer 3 (Info Blue):** Tertiary harmonic frequencies
- **Layer 4 (Warning Gold):** Outer field boundaries
- **Layer 5 (Success Green):** Maximum field extension
**Field Strength Calculation:**
```
Field Strength = min(3.0, Mahalanobis Distance × Tensor Intensity)
```
The field amplitude adjusts to ATR and mathematical distance, creating dynamic zones that respond to market volatility.
**Radiation Line Network:**
During active tensor states, the system projects directional radiation lines showing field energy distribution:
- **8 Directional Rays:** Complete angular coverage
- **Tapering Segments:** Progressive transparency for natural visual flow
- **Pulse Effects:** Enhanced visualization during volatility jumps
### Dimensional Portal System
**Portal Mathematics:**
Dimensional portals visualize regime transitions using category theory principles:
- **Green Portals (◉):** Trending regime detection (appear below price for support)
- **Red Portals (◎):** Mean-reverting regime (appear above price for resistance)
- **Yellow Portals (○):** Random walk regime (neutral positioning)
**Tensor Trail Effects:**
Each portal generates 8 trailing particles showing mathematical momentum:
- **Large Particles (●):** Strong mathematical signal
- **Medium Particles (◦):** Moderate signal strength
- **Small Particles (·):** Weak signal continuation
- **Micro Particles (˙):** Signal dissipation
### Information Flow Streams
**Particle Stream Visualization:**
Transfer entropy creates flowing particle streams indicating information direction:
- **Upward Streams:** Volume leading price (accumulation phases)
- **Downward Streams:** Price leading volume (distribution phases)
- **Stream Density:** Proportional to information flow strength
**15-Particle Evolution:**
Each stream contains 15 particles with progressive sizing and transparency, creating natural flow visualization that makes information transfer immediately apparent.
### Fractal Matrix Grid System
**Multi-Timeframe Fractal Levels:**
The system calculates and displays fractal highs/lows across five Fibonacci periods:
- **8-Period:** Short-term fractal structure
- **13-Period:** Intermediate-term patterns
- **21-Period:** Primary swing levels
- **34-Period:** Major structural levels
- **55-Period:** Long-term fractal boundaries
**Triple-Layer Visualization:**
Each fractal level uses three-layer rendering:
- **Shadow Layer:** Widest, darkest foundation (width 5)
- **Glow Layer:** Medium white core line (width 3)
- **Tensor Layer:** Dotted mathematical overlay (width 1)
**Intelligent Labeling System:**
Smart spacing prevents label overlap using ATR-based minimum distances. Labels include:
- **Fractal Period:** Time-based identification
- **Topological Class:** Mathematical complexity rating (0, I, II, III)
- **Price Level:** Exact fractal price
- **Mahalanobis Distance:** Current mathematical field strength
- **Hurst Exponent:** Current regime classification
- **Anomaly Indicators:** Visual strength representations (○ ◐ ● ⚡)
### Wick Pressure Analysis
**Rejection Level Mathematics:**
The system analyzes candle wick patterns to project future pressure zones:
- **Upper Wick Analysis:** Identifies selling pressure and resistance zones
- **Lower Wick Analysis:** Identifies buying pressure and support zones
- **Pressure Projection:** Extends lines forward based on mathematical probability
**Multi-Layer Glow Effects:**
Wick pressure lines use progressive transparency (1-8 layers) creating natural glow effects that make pressure zones immediately visible without cluttering the chart.
### Enhanced Regime Background
**Dynamic Intensity Mapping:**
Background colors reflect mathematical regime strength:
- **Deep Transparency (98% alpha):** Subtle regime indication
- **Pulse Intensity:** Based on regime strength calculation
- **Color Coding:** Green (trending), Red (mean-reverting), Neutral (random)
**Smoothing Integration:**
Regime changes incorporate 10-bar smoothing to prevent background flicker while maintaining responsiveness to genuine regime shifts.
### Color Scheme System
**Six Professional Themes:**
- **Dark (Default):** Professional trading environment optimization
- **Light:** High ambient light conditions
- **Classic:** Traditional technical analysis appearance
- **Neon:** High-contrast visibility for active trading
- **Neutral:** Minimal distraction focus
- **Bright:** Maximum visibility for complex setups
Each theme maintains mathematical accuracy while optimizing visual clarity for different trading environments and personal preferences.
---
## 📊 INSTITUTIONAL-GRADE DASHBOARD
### Tensor Field Status Section
**Field Strength Display:**
Real-time Mahalanobis distance calculation with dynamic emoji indicators:
- **⚡ (Lightning):** Extreme field strength (>1.5× threshold)
- **● (Solid Circle):** Strong field activity (>1.0× threshold)
- **○ (Open Circle):** Normal field state
**Signal Quality Rating:**
Democratic algorithm assessment:
- **ELITE:** All 3 components aligned (highest probability)
- **STRONG:** 2 components aligned (good probability)
- **GOOD:** 1 component active (moderate probability)
- **WEAK:** No clear component signals
**Threshold and Anomaly Monitoring:**
- **Threshold Display:** Current mathematical threshold setting
- **Anomaly Level (0-100%):** Combined volatility and volume spike measurement
- **>70%:** High anomaly (red warning)
- **30-70%:** Moderate anomaly (orange caution)
- **<30%:** Normal conditions (green confirmation)
### Tensor State Analysis Section
**Mathematical State Classification:**
- **↑ BULL (Tensor State +1):** Trending regime with bullish bias
- **↓ BEAR (Tensor State -1):** Mean-reverting regime with bearish bias
- **◈ SUPER (Tensor State 0):** Random walk regime (neutral)
**Visual State Gauge:**
Five-circle progression showing tensor field polarity:
- **🟢🟢🟢⚪⚪:** Strong bullish mathematical alignment
- **⚪⚪🟡⚪⚪:** Neutral/transitional state
- **⚪⚪🔴🔴🔴:** Strong bearish mathematical alignment
**Trend Direction and Phase Analysis:**
- **📈 BULL / 📉 BEAR / ➡️ NEUTRAL:** Primary trend classification
- **🌪️ CHAOS:** Extreme information flow (>2.0 flow strength)
- **⚡ ACTIVE:** Strong information flow (1.0-2.0 flow strength)
- **😴 CALM:** Low information flow (<1.0 flow strength)
### Trading Signals Section
**Real-Time Signal Status:**
- **🟢 ACTIVE / ⚪ INACTIVE:** Long signal availability
- **🔴 ACTIVE / ⚪ INACTIVE:** Short signal availability
- **Components (X/3):** Active algorithmic components
- **Mode Display:** Current signal generation mode
**Signal Strength Visualization:**
Color-coded component count:
- **Green:** 3/3 components (maximum confidence)
- **Aqua:** 2/3 components (good confidence)
- **Orange:** 1/3 components (moderate confidence)
- **Gray:** 0/3 components (no signals)
### Performance Metrics Section
**Win Rate Monitoring:**
Estimated win rates based on signal quality with emoji indicators:
- **🔥 (Fire):** ≥60% estimated win rate
- **👍 (Thumbs Up):** 45-59% estimated win rate
- **⚠️ (Warning):** <45% estimated win rate
**Mathematical Metrics:**
- **Hurst Exponent:** Real-time fractal dimension (0.000-1.000)
- **Information Flow:** Volume/price leading indicators
- **📊 VOL:** Volume leading price (accumulation/distribution)
- **💰 PRICE:** Price leading volume (momentum/speculation)
- **➖ NONE:** Balanced information flow
- **Volatility Classification:**
- **🔥 HIGH:** Above 1.5× jump threshold
- **📊 NORM:** Normal volatility range
- **😴 LOW:** Below 0.5× jump threshold
### Market Structure Section (Large Dashboard)
**Regime Classification:**
- **📈 TREND:** Hurst >0.6, momentum strategies optimal
- **🔄 REVERT:** Hurst <0.4, contrarian strategies optimal
- **🎲 RANDOM:** Hurst ≈0.5, breakout strategies preferred
**Mathematical Field Analysis:**
- **Dimensions:** Current volatility space complexity (2D-5D)
- **Hawkes λ (Lambda):** Self-exciting jump intensity (0.00-1.00)
- **Jump Status:** 🚨 JUMP (active) / ✅ NORM (normal)
### Settings Summary Section (Large Dashboard)
**Active Configuration Display:**
- **Sensitivity:** Current master sensitivity setting
- **Lookback:** Primary analysis window
- **Theme:** Active color scheme
- **Method:** Hurst calculation method (Classic R/S, Adaptive R/S, DFA)
**Dashboard Sizing Options:**
- **Small:** Essential metrics only (mobile/small screens)
- **Normal:** Balanced information density (standard desktop)
- **Large:** Maximum detail (multi-monitor setups)
**Position Options:**
- **Top Right:** Standard placement (avoids price action)
- **Top Left:** Wide chart optimization
- **Bottom Right:** Recent price focus (scalping)
- **Bottom Left:** Maximum price visibility (swing trading)
---
## 🎯 SIGNAL GENERATION LOGIC
### Multi-Component Convergence System
**Component Signal Architecture:**
The TMAE generates signals through sophisticated component analysis rather than simple threshold crossing:
**Volatility Component:**
- **Jump Detection:** Mahalanobis distance threshold breach
- **Hawkes Intensity:** Self-exciting process activation (>0.2)
- **Multi-dimensional:** Considers all volatility dimensions simultaneously
**Hurst Regime Component:**
- **Trending Markets:** Price above SMA-20 with positive momentum
- **Mean-Reverting Markets:** Price at Bollinger Band extremes
- **Random Markets:** Bollinger squeeze breakouts with directional confirmation
**Transfer Entropy Component:**
- **Volume Leadership:** Information flow from volume to price
- **Volume Spike:** Volume 110%+ above 20-period average
- **Flow Significance:** Above entropy threshold with directional bias
### Democratic Signal Weighting
**Signal Mode Implementation:**
- **Aggressive Mode:** Any single component triggers signal
- **Confluence Mode:** Minimum 2 components must agree
- **Conservative Mode:** All 3 components must align
**Momentum Confirmation:**
All signals require momentum confirmation:
- **Long Signals:** RSI >50 AND price >EMA-9
- **Short Signals:** RSI <50 AND price 0.6):**
- **Increase Sensitivity:** Catch momentum continuation
- **Lower Mean Reversion Threshold:** Avoid counter-trend signals
- **Emphasize Volume Leadership:** Institutional accumulation/distribution
- **Tensor Field Focus:** Use expansion for trend continuation
- **Signal Mode:** Aggressive or Confluence for trend following
**Range-Bound Markets (Hurst <0.4):**
- **Decrease Sensitivity:** Avoid false breakouts
- **Lower Trending Threshold:** Quick regime recognition
- **Focus on Price Leadership:** Retail sentiment extremes
- **Fractal Grid Emphasis:** Support/resistance trading
- **Signal Mode:** Conservative for high-probability reversals
**Volatile Markets (High Jump Frequency):**
- **Increase Hawkes Decay:** Recognize event clustering
- **Higher Jump Threshold:** Avoid noise signals
- **Maximum Dimensions:** Capture full volatility complexity
- **Reduce Position Sizing:** Risk management adaptation
- **Enhanced Visuals:** Maximum information for rapid decisions
**Low Volatility Markets (Low Jump Frequency):**
- **Decrease Jump Threshold:** Capture subtle movements
- **Lower Hawkes Decay:** Treat moves as independent
- **Reduce Dimensions:** Simplify analysis
- **Increase Position Sizing:** Capitalize on compressed volatility
- **Minimal Visuals:** Reduce distraction in quiet markets
---
## 🚀 ADVANCED TRADING STRATEGIES
### The Mathematical Convergence Method
**Entry Protocol:**
1. **Fractal Grid Approach:** Monitor price approaching significant fractal levels
2. **Tensor Field Confirmation:** Verify field expansion supporting direction
3. **Portal Signal:** Wait for dimensional portal appearance
4. **ELITE/STRONG Quality:** Only trade highest quality mathematical signals
5. **Component Consensus:** Confirm 2+ components agree in Confluence mode
**Example Implementation:**
- Price approaching 21-period fractal high
- Tensor field expanding upward (bullish mathematical alignment)
- Green portal appears below price (trending regime confirmation)
- ELITE quality signal with 3/3 components active
- Enter long position with stop below fractal level
**Risk Management:**
- **Stop Placement:** Below/above fractal level that generated signal
- **Position Sizing:** Based on Mahalanobis distance (higher distance = smaller size)
- **Profit Targets:** Next fractal level or tensor field resistance
### The Regime Transition Strategy
**Regime Change Detection:**
1. **Monitor Hurst Exponent:** Watch for persistent moves above/below thresholds
2. **Portal Color Change:** Regime transitions show different portal colors
3. **Background Intensity:** Increasing regime background intensity
4. **Mathematical Confirmation:** Wait for regime confirmation (hysteresis)
**Trading Implementation:**
- **Trending Transitions:** Trade momentum breakouts, follow trend
- **Mean Reversion Transitions:** Trade range boundaries, fade extremes
- **Random Transitions:** Trade breakouts with tight stops
**Advanced Techniques:**
- **Multi-Timeframe:** Confirm regime on higher timeframe
- **Early Entry:** Enter on regime transition rather than confirmation
- **Regime Strength:** Larger positions during strong regime signals
### The Information Flow Momentum Strategy
**Flow Detection Protocol:**
1. **Monitor Transfer Entropy:** Watch for significant information flow shifts
2. **Volume Leadership:** Strong edge when volume leads price
3. **Flow Acceleration:** Increasing flow strength indicates momentum
4. **Directional Confirmation:** Ensure flow aligns with intended trade direction
**Entry Signals:**
- **Volume → Price Flow:** Enter during accumulation/distribution phases
- **Price → Volume Flow:** Enter on momentum confirmation breaks
- **Flow Reversal:** Counter-trend entries when flow reverses
**Optimization:**
- **Scalping:** Use immediate flow detection (2-5 bar lag)
- **Swing Trading:** Use structural flow (10-20 bar lag)
- **Multi-Asset:** Compare flow between correlated assets
### The Tensor Field Expansion Strategy
**Field Mathematics:**
The tensor field expansion indicates mathematical pressure building in market structure:
**Expansion Phases:**
1. **Compression:** Field contracts, volatility decreases
2. **Tension Building:** Mathematical pressure accumulates
3. **Expansion:** Field expands rapidly with directional movement
4. **Resolution:** Field stabilizes at new equilibrium
**Trading Applications:**
- **Compression Trading:** Prepare for breakout during field contraction
- **Expansion Following:** Trade direction of field expansion
- **Reversion Trading:** Fade extreme field expansion
- **Multi-Dimensional:** Consider all field layers for confirmation
### The Hawkes Process Event Strategy
**Self-Exciting Jump Trading:**
Understanding that market shocks cluster and create follow-on opportunities:
**Jump Sequence Analysis:**
1. **Initial Jump:** First volatility jump detected
2. **Clustering Phase:** Hawkes intensity remains elevated
3. **Follow-On Opportunities:** Additional jumps more likely
4. **Decay Period:** Intensity gradually decreases
**Implementation:**
- **Jump Confirmation:** Wait for mathematical jump confirmation
- **Direction Assessment:** Use other components for direction
- **Clustering Trades:** Trade subsequent moves during high intensity
- **Decay Exit:** Exit positions as Hawkes intensity decays
### The Fractal Confluence System
**Multi-Timeframe Fractal Analysis:**
Combining fractal levels across different periods for high-probability zones:
**Confluence Zones:**
- **Double Confluence:** 2 fractal levels align
- **Triple Confluence:** 3+ fractal levels cluster
- **Mathematical Confirmation:** Tensor field supports the level
- **Information Flow:** Transfer entropy confirms direction
**Trading Protocol:**
1. **Identify Confluence:** Find 2+ fractal levels within 1 ATR
2. **Mathematical Support:** Verify tensor field alignment
3. **Signal Quality:** Wait for STRONG or ELITE signal
4. **Risk Definition:** Use fractal level for stop placement
5. **Profit Targeting:** Next major fractal confluence zone
---
## ⚠️ COMPREHENSIVE RISK MANAGEMENT
### Mathematical Position Sizing
**Mahalanobis Distance Integration:**
Position size should inversely correlate with mathematical field strength:
```
Position Size = Base Size × (Threshold / Mahalanobis Distance)
```
**Risk Scaling Matrix:**
- **Low Field Strength (<2.0):** Standard position sizing
- **Moderate Field Strength (2.0-3.0):** 75% position sizing
- **High Field Strength (3.0-4.0):** 50% position sizing
- **Extreme Field Strength (>4.0):** 25% position sizing or no trade
### Signal Quality Risk Adjustment
**Quality-Based Position Sizing:**
- **ELITE Signals:** 100% of planned position size
- **STRONG Signals:** 75% of planned position size
- **GOOD Signals:** 50% of planned position size
- **WEAK Signals:** No position or paper trading only
**Component Agreement Scaling:**
- **3/3 Components:** Full position size
- **2/3 Components:** 75% position size
- **1/3 Components:** 50% position size or skip trade
### Regime-Adaptive Risk Management
**Trending Market Risk:**
- **Wider Stops:** Allow for trend continuation
- **Trend Following:** Trade with regime direction
- **Higher Position Size:** Trend probability advantage
- **Momentum Stops:** Trail stops based on momentum indicators
**Mean-Reverting Market Risk:**
- **Tighter Stops:** Quick exits on trend continuation
- **Contrarian Positioning:** Trade against extremes
- **Smaller Position Size:** Higher reversal failure rate
- **Level-Based Stops:** Use fractal levels for stops
**Random Market Risk:**
- **Breakout Focus:** Trade only clear breakouts
- **Tight Initial Stops:** Quick exit if breakout fails
- **Reduced Frequency:** Skip marginal setups
- **Range-Based Targets:** Profit targets at range boundaries
### Volatility-Adaptive Risk Controls
**High Volatility Periods:**
- **Reduced Position Size:** Account for wider price swings
- **Wider Stops:** Avoid noise-based exits
- **Lower Frequency:** Skip marginal setups
- **Faster Exits:** Take profits more quickly
**Low Volatility Periods:**
- **Standard Position Size:** Normal risk parameters
- **Tighter Stops:** Take advantage of compressed ranges
- **Higher Frequency:** Trade more setups
- **Extended Targets:** Allow for compressed volatility expansion
### Multi-Timeframe Risk Alignment
**Higher Timeframe Trend:**
- **With Trend:** Standard or increased position size
- **Against Trend:** Reduced position size or skip
- **Neutral Trend:** Standard position size with tight management
**Risk Hierarchy:**
1. **Primary:** Current timeframe signal quality
2. **Secondary:** Higher timeframe trend alignment
3. **Tertiary:** Mathematical field strength
4. **Quaternary:** Market regime classification
---
## 📚 EDUCATIONAL VALUE AND MATHEMATICAL CONCEPTS
### Advanced Mathematical Concepts
**Tensor Analysis in Markets:**
The TMAE introduces traders to tensor analysis, a branch of mathematics typically reserved for physics and advanced engineering. Tensors provide a framework for understanding multi-dimensional market relationships that scalar and vector analysis cannot capture.
**Information Theory Applications:**
Transfer entropy implementation teaches traders about information flow in markets, a concept from information theory that quantifies directional causality between variables. This provides intuition about market microstructure and participant behavior.
**Fractal Geometry in Trading:**
The Hurst exponent calculation exposes traders to fractal geometry concepts, helping understand that markets exhibit self-similar patterns across multiple timeframes. This mathematical insight transforms how traders view market structure.
**Stochastic Process Theory:**
The Hawkes process implementation introduces concepts from stochastic process theory, specifically self-exciting point processes. This provides mathematical framework for understanding why market events cluster and exhibit memory effects.
### Learning Progressive Complexity
**Beginner Mathematical Concepts:**
- **Volatility Dimensions:** Understanding multi-dimensional analysis
- **Regime Classification:** Learning market personality types
- **Signal Democracy:** Algorithmic consensus building
- **Visual Mathematics:** Interpreting mathematical concepts visually
**Intermediate Mathematical Applications:**
- **Mahalanobis Distance:** Statistical distance in multi-dimensional space
- **Rescaled Range Analysis:** Fractal dimension measurement
- **Information Entropy:** Quantifying uncertainty and causality
- **Field Theory:** Understanding mathematical fields in market context
**Advanced Mathematical Integration:**
- **Tensor Field Dynamics:** Multi-dimensional market force analysis
- **Stochastic Self-Excitation:** Event clustering and memory effects
- **Categorical Composition:** Mathematical signal combination theory
- **Topological Market Analysis:** Understanding market shape and connectivity
### Practical Mathematical Intuition
**Developing Market Mathematics Intuition:**
The TMAE serves as a bridge between abstract mathematical concepts and practical trading applications. Traders develop intuitive understanding of:
- **How markets exhibit mathematical structure beneath apparent randomness**
- **Why multi-dimensional analysis reveals patterns invisible to single-variable approaches**
- **How information flows through markets in measurable, predictable ways**
- **Why mathematical models provide probabilistic edges rather than certainties**
---
## 🔬 IMPLEMENTATION AND OPTIMIZATION
### Getting Started Protocol
**Phase 1: Observation (Week 1)**
1. **Apply with defaults:** Use standard settings on your primary trading timeframe
2. **Study visual elements:** Learn to interpret tensor fields, portals, and streams
3. **Monitor dashboard:** Observe how metrics change with market conditions
4. **No trading:** Focus entirely on pattern recognition and understanding
**Phase 2: Pattern Recognition (Week 2-3)**
1. **Identify signal patterns:** Note what market conditions produce different signal qualities
2. **Regime correlation:** Observe how Hurst regimes affect signal performance
3. **Visual confirmation:** Learn to read tensor field expansion and portal signals
4. **Component analysis:** Understand which components drive signals in different markets
**Phase 3: Parameter Optimization (Week 4-5)**
1. **Asset-specific tuning:** Adjust parameters for your specific trading instrument
2. **Timeframe optimization:** Fine-tune for your preferred trading timeframe
3. **Sensitivity adjustment:** Balance signal frequency with quality
4. **Visual customization:** Optimize colors and intensity for your trading environment
**Phase 4: Live Implementation (Week 6+)**
1. **Paper trading:** Test signals with hypothetical trades
2. **Small position sizing:** Begin with minimal risk during learning phase
3. **Performance tracking:** Monitor actual vs. expected signal performance
4. **Continuous optimization:** Refine settings based on real performance data
### Performance Monitoring System
**Signal Quality Tracking:**
- **ELITE Signal Win Rate:** Track highest quality signals separately
- **Component Performance:** Monitor which components provide best signals
- **Regime Performance:** Analyze performance across different market regimes
- **Timeframe Analysis:** Compare performance across different session times
**Mathematical Metric Correlation:**
- **Field Strength vs. Performance:** Higher field strength should correlate with better performance
- **Component Agreement vs. Win Rate:** More component agreement should improve win rates
- **Regime Alignment vs. Success:** Trading with mathematical regime should outperform
### Continuous Optimization Process
**Monthly Review Protocol:**
1. **Performance Analysis:** Review win rates, profit factors, and maximum drawdown
2. **Parameter Assessment:** Evaluate if current settings remain optimal
3. **Market Adaptation:** Adjust for changes in market character or volatility
4. **Component Weighting:** Consider if certain components should receive more/less emphasis
**Quarterly Deep Analysis:**
1. **Mathematical Model Validation:** Verify that mathematical relationships remain valid
2. **Regime Distribution:** Analyze time spent in different market regimes
3. **Signal Evolution:** Track how signal characteristics change over time
4. **Correlation Analysis:** Monitor correlations between different mathematical components
---
## 🌟 UNIQUE INNOVATIONS AND CONTRIBUTIONS
### Revolutionary Mathematical Integration
**First-Ever Implementations:**
1. **Multi-Dimensional Volatility Tensor:** First indicator to implement true tensor analysis for market volatility
2. **Real-Time Hawkes Process:** First trading implementation of self-exciting point processes
3. **Transfer Entropy Trading Signals:** First practical application of information theory for trade generation
4. **Democratic Component Voting:** First algorithmic consensus system for signal generation
5. **Fractal-Projected Signal Quality:** First system to predict signal quality at future price levels
### Advanced Visualization Innovations
**Mathematical Visualization Breakthroughs:**
- **Tensor Field Radiation:** Visual representation of mathematical field energy
- **Dimensional Portal System:** Category theory visualization for regime transitions
- **Information Flow Streams:** Real-time visual display of market information transfer
- **Multi-Layer Fractal Grid:** Intelligent spacing and projection system
- **Regime Intensity Mapping:** Dynamic background showing mathematical regime strength
### Practical Trading Innovations
**Trading System Advances:**
- **Quality-Weighted Signal Generation:** Signals rated by mathematical confidence
- **Regime-Adaptive Strategy Selection:** Automatic strategy optimization based on market personality
- **Anti-Spam Signal Protection:** Mathematical prevention of signal clustering
- **Component Performance Tracking:** Real-time monitoring of algorithmic component success
- **Field-Strength Position Sizing:** Mathematical volatility integration for risk management
---
## ⚖️ RESPONSIBLE USAGE AND LIMITATIONS
### Mathematical Model Limitations
**Understanding Model Boundaries:**
While the TMAE implements sophisticated mathematical concepts, traders must understand fundamental limitations:
- **Markets Are Not Purely Mathematical:** Human psychology, news events, and fundamental factors create unpredictable elements
- **Past Performance Limitations:** Mathematical relationships that worked historically may not persist indefinitely
- **Model Risk:** Complex models can fail during unprecedented market conditions
- **Overfitting Potential:** Highly optimized parameters may not generalize to future market conditions
### Proper Implementation Guidelines
**Risk Management Requirements:**
- **Never Risk More Than 2% Per Trade:** Regardless of signal quality
- **Diversification Mandatory:** Don't rely solely on mathematical signals
- **Position Sizing Discipline:** Use mathematical field strength for sizing, not confidence
- **Stop Loss Non-Negotiable:** Every trade must have predefined risk parameters
**Realistic Expectations:**
- **Mathematical Edge, Not Certainty:** The indicator provides probabilistic advantages, not guaranteed outcomes
- **Learning Curve Required:** Complex mathematical concepts require time to master
- **Market Adaptation Necessary:** Parameters must evolve with changing market conditions
- **Continuous Education Important:** Understanding underlying mathematics improves application
### Ethical Trading Considerations
**Market Impact Awareness:**
- **Information Asymmetry:** Advanced mathematical analysis may provide advantages over other market participants
- **Position Size Responsibility:** Large positions based on mathematical signals can impact market structure
- **Sharing Knowledge:** Consider educational contributions to trading community
- **Fair Market Participation:** Use mathematical advantages responsibly within market framework
### Professional Development Path
**Skill Development Sequence:**
1. **Basic Mathematical Literacy:** Understand fundamental concepts before advanced application
2. **Risk Management Mastery:** Develop disciplined risk control before relying on complex signals
3. **Market Psychology Understanding:** Combine mathematical analysis with behavioral market insights
4. **Continuous Learning:** Stay updated on mathematical finance developments and market evolution
---
## 🔮 CONCLUSION
The Tensor Market Analysis Engine represents a quantum leap forward in technical analysis, successfully bridging the gap between advanced pure mathematics and practical trading applications. By integrating multi-dimensional volatility analysis, fractal market theory, and information flow dynamics, the TMAE reveals market structure invisible to conventional analysis while maintaining visual clarity and practical usability.
### Mathematical Innovation Legacy
This indicator establishes new paradigms in technical analysis:
- **Tensor analysis for market volatility understanding**
- **Stochastic self-excitation for event clustering prediction**
- **Information theory for causality-based trade generation**
- **Democratic algorithmic consensus for signal quality enhancement**
- **Mathematical field visualization for intuitive market understanding**
### Practical Trading Revolution
Beyond mathematical innovation, the TMAE transforms practical trading:
- **Quality-rated signals replace binary buy/sell decisions**
- **Regime-adaptive strategies automatically optimize for market personality**
- **Multi-dimensional risk management integrates mathematical volatility measures**
- **Visual mathematical concepts make complex analysis immediately interpretable**
- **Educational value creates lasting improvement in trading understanding**
### Future-Proof Design
The mathematical foundations ensure lasting relevance:
- **Universal mathematical principles transcend market evolution**
- **Multi-dimensional analysis adapts to new market structures**
- **Regime detection automatically adjusts to changing market personalities**
- **Component democracy allows for future algorithmic additions**
- **Mathematical visualization scales with increasing market complexity**
### Commitment to Excellence
The TMAE represents more than an indicator—it embodies a philosophy of bringing rigorous mathematical analysis to trading while maintaining practical utility and visual elegance. Every component, from the multi-dimensional tensor fields to the democratic signal generation, reflects a commitment to mathematical accuracy, trading practicality, and educational value.
### Trading with Mathematical Precision
In an era where markets grow increasingly complex and computational, the TMAE provides traders with mathematical tools previously available only to institutional quantitative research teams. Yet unlike academic mathematical models, the TMAE translates complex concepts into intuitive visual representations and practical trading signals.
By combining the mathematical rigor of tensor analysis, the statistical power of multi-dimensional volatility modeling, and the information-theoretic insights of transfer entropy, traders gain unprecedented insight into market structure and dynamics.
### Final Perspective
Markets, like nature, exhibit profound mathematical beauty beneath apparent chaos. The Tensor Market Analysis Engine serves as a mathematical lens that reveals this hidden order, transforming how traders perceive and interact with market structure.
Through mathematical precision, visual elegance, and practical utility, the TMAE empowers traders to see beyond the noise and trade with the confidence that comes from understanding the mathematical principles governing market behavior.
Trade with mathematical insight. Trade with the power of tensors. Trade with the TMAE.
*"In mathematics, you don't understand things. You just get used to them." - John von Neumann*
*With the TMAE, mathematical market understanding becomes not just possible, but intuitive.*
— Dskyz, Trade with insight. Trade with anticipation.
10x HTF Candles Dynamic with LTF FVG and Key LevelsPurpose
The 10x HTF Candles Dynamic Pine Script is a versatile, all-in-one trading tool designed for TradingView to empower traders with actionable insights across multiple timeframes. It combines advanced price action analysis, Fair Value Gap (FVG) detection, market structure evaluation, and key level visualization into a single, highly customizable interface. Built for day traders, swing traders, and scalpers, this script enhances decision-making by providing a clear, multi-dimensional view of market dynamics, liquidity zones, and trend biases. Its purpose is to streamline technical analysis, reduce chart clutter, and deliver real-time, visually intuitive data to support precise trading strategies.
What the Script Does
How the Script Works:
The script leverages Pine Script v5’s advanced features to deliver a robust and efficient trading tool. Below is a step-by-step explanation of its functionality:
1. Initialization and Configuration:
- Initializes with @version=5, enabling dynamic requests, and sets limits for bars (500), lines, labels, boxes, and polylines to manage resources.
- Defines user inputs for candle settings, timeframe selection, FVG parameters, DWM levels, market structure table, and visual preferences.
- Dynamically calculates 10 higher timeframes based on the current chart timeframe (e.g., 1m chart → 5m, 15m, 60m, etc.) or allows custom timeframes.
2. Data Acquisition:
- Fetches OHLC data for up to 10 timeframes using request.security, storing it in optimized TfData objects (arrays for open, high, low, close).
- Loops through enabled timeframes to minimize redundant code, improving processing speed.
3. Candlestick Rendering:
- Draws HTF candlesticks at user-defined offsets, with customizable bullish/bearish colors, wick colors, and widths.
- Calculates bar types (Inside, Normal, Outside) and optionally labels them above candles for pattern analysis.
4. FVG Detection and Visualization:
- Scans for FVGs by comparing candle highs and lows across three bars (e.g., low of candle 1 > high of candle 3 for bullish FVG).
- Detects IFVGs based on user-selected methods (wick, close, or midpoint) and highlights them with distinct colors.
- Draws FVG boxes with configurable borders, midpoint lines, and labels, tracking mitigation status.
- Limits FVG display to a user-defined maximum (1–200) to maintain chart clarity.
5. Horizontal Levels and DWM Lines:
- Computes Highs, Lows, Midpoints, and Quarter Points for each timeframe, drawing lines with customizable styles and extensions.
- Plots DWM open, close, high, low, and control point lines, with optional alerts for high/low breaks.
- Supports session-based opening price lines (e.g., 09:30 Market Open) with similar customization.
6. Market Structure and Bias:
Calculates trend bias by comparing the current close to the midpoint of the timeframe’s range (highest high to lowest low).
Updates a market structure table with timeframe, bias, and premium/discount status, using color-coded cells for quick interpretation.
7. Countdown Timers:
- Converts timeframe strings to seconds and calculates the time remaining until the next candle using timenow.
- Renders countdown labels with timeframe names (e.g., “1h (00:45)”) at user-defined positions.
8. Optimization and Cleanup:
- Uses VisualElements UDTs to manage lines, wicks, and labels, reducing memory usage.
- Deletes outdated drawings when limits are exceeded, ensuring a clean and responsive chart.
- Employs loops and arrays to streamline repetitive tasks, enhancing performance.
How to Use the Script:
This script is user-friendly yet powerful, suitable for traders of all experience levels. Follow these steps to maximize its potential:
1. Add to TradingView:
- Copy the script into TradingView’s Pine Editor.
- Click “Add to Chart” to apply it to your active chart.
2. Customize Settings:
- Candle Settings: Adjust the number of candles (1–10), starting position, group spacing, bullish/bearish colors, wick colors, and candle width.
- Timeframe Settings: Enable/disable up to 10 timeframes, choosing dynamic (auto-selected) or custom timeframes (e.g., 3m, 60m, D).
- FVG Settings: Toggle FVG detection, set detection methods (wick/close/midpoint), adjust thresholds, and customize colors, borders, and midpoint lines.
- DWM Settings: Enable daily/weekly/monthly lines (open, close, high, low, midpoint), set colors, and configure alerts for high/low breaks.
- Market Structure Table: Show/hide columns for timeframe, trend bias, and premium/discount, and adjust table position (top-left, bottom-right, etc.).
- Countdown Timers: Enable timers, adjust offsets, and customize text/background colors.
- Label Settings: Configure price label precision, transparency, and offsets for clarity.
3.Interpret Visuals:
- Candlesticks: Analyze HTF candles to gauge trend direction and momentum across timeframes.
- FVGs: Look for unmitigated FVGs (colored boxes) as potential support/resistance zones or trade setups.
- Key Levels: Use Highs, Lows, Midpoints, and Quarter Points to identify breakout or reversal areas.
4. Market Structure Table: Check trend bias and premium/discount status to align trades with market conditions.
- DWM Lines: Monitor daily/weekly/monthly levels for institutional reference points.
- Countdown Timers: Time entries/exits based on upcoming candle formations.
5. Integrate with Strategy:
- Combine script insights with your trading plan (e.g., use FVGs for entries, key levels for stops/targets).
- Set alerts for high/low breaks or liquidity zone approaches to stay proactive.
- Export table data or screenshot visuals for documentation and analysis.
6. Optimize Performance:
Limit the number of candles, FVGs, and lines to match your device’s capabilities.
Regularly review settings to focus on the most relevant timeframes and features.
Why the Script is Original
The 10x HTF Candles Dynamic script stands out in the TradingView community due to its innovative design, comprehensive functionality, and trader-centric approach. Here’s what makes it unique:
1. Seamless Multi-Timeframe Integration:
- Unlike single-timeframe indicators, this script synthesizes data from up to 10 timeframes, offering a holistic view of market structure.
- Dynamic timeframe selection adapts to the chart’s timeframe, ensuring relevance across all trading styles.
2 . Advanced FVG and IFVG Detection:
- Provides granular control over FVG detection with three IFVG methods (wick, close, midpoint), a rarity in most scripts.
- Tracks mitigation status and highlights unmitigated FVGs, enabling traders to capitalize on high-probability setups.
- Visualizes FVGs with boxes, midpoint lines, and labels, enhancing clarity and usability.
3. Sophisticated Market Structure Analysis:
-The bias calculation, introduced in recent updates (2 days ago), uses a robust algorithm to assess trend direction based on range midpoints.
- The market structure table, with premium/discount zones (added 20 hours ago), offers a unique summary of market conditions, unmatched by standard indicators.
4. Comprehensive DWM and Session Support:
- Integrates daily, weekly, and monthly levels alongside session-based opening prices, catering to institutional and retail traders alike.
- Customizable alerts for high/low breaks add actionable functionality.
5. Visual Hierarchy and Clarity:
- Scales line widths and transparency by timeframe, prioritizing higher timeframes for strategic focus.
- Countdown timers provide real-time context, a feature rarely seen in multi-timeframe scripts.
6.Performance Optimization:
- Recent updates introduced loops and UDTs to reduce code redundancy and boost processing speed.
- Automated cleanup mechanisms prevent chart clutter, ensuring smooth operation even on low-resource devices.
7. High Customizability:
- Offers extensive settings for visuals, timeframes, FVGs, DWM lines, and alerts, accommodating diverse trading preferences.
- Balances complexity with accessibility, making it approachable for beginners and powerful for advanced users.
8.Continuous Evolution:
- Regular updates (e.g., bias filter table, premium/discount feature, code optimization) demonstrate ongoing commitment to improvement.
- Closed-source protection (noted 20 hours ago) ensures intellectual integrity while allowing free use, fostering trust in the TradingView community.
Conclusion
The 10x HTF Candles Dynamic Pine Script is a groundbreaking tool that redefines multi-timeframe analysis on TradingView. By combining candlestick visualization, FVG detection, market structure insights, DWM levels, and countdown timers, it provides traders with a comprehensive, real-time view of market dynamics. Its advanced optimization, customization options, and continuous updates make it a standout choice for traders seeking precision, clarity, and efficiency. Whether you’re scalping intraday moves or swing trading weekly trends, this script equips you with the tools to master the markets with confidence.
Scanner Candles v2.01The "Scanner Candle v.2.01" is an indicator classifies candles based on the body/range ratio: indecisive (small body, ≤50%), decisive (medium body), explosive (large body, ≥70%). It includes EMAs to identify trends and "Reset Candles" (RC), small-bodied candles near EMAs, signaling potential reversals or continuations. Useful for analyzing volatility, breakouts, reversals, and risk management.
Description of the indicator:
The "Scanner Candle v.2.01" indicator classifies candles into three categories based on the proportion of the candle's body to its range (high-low):
Indecisive: candles with a small body (≤ set threshold, default 50%), indicating low volatility or market uncertainty.
Decisive: candles with a medium body, reflecting a clear but not extreme price movement.
Explosive: candles with a large body (≥ set threshold, default 70%), signaling strong directional moves.
Additionally, the indicator includes:
Customizable exponential moving averages (EMAs) to identify trends and support/resistance levels.
Detection of "Reset Candles" (RC), specific candles (e.g., dojis, ) with a small bodies body near EMAs, useful for identifying potential reversal or continuation points.
Coloring and visualization:
Candles are colored by category (white for indecisive, orange for decisive, purple for explosive).
Reset Candles are marked with circles above/below the candle (green for bullish, red for bearish).
Potential uses:
Volatility analysis: Identifying uncertain (indecisive), directional (decisive), or impulsive (explosive) market phases.
Breakout trading: Explosive candles can signal entry opportunities on strong moves.
Reversal detection: Reset Candles near EMAs can indicate turning points or trend continuation.
Trend-following support: Integrated EMAs contextualize candles within the main trend.
Risk management: Indecisive candles suggest avoiding trades in low-directionality phases.
The indicator is customizable (thresholds, colors, thresholdsEMAs, ) and adaptable to various timeframes and strategies, from day trading to swing trading.
Reset Candles:
Reset Candles (RC) are specific candles signaling potential reversals or continuations, often near EMAs. They are defined by:
Small body: Body < 5% of the range of the last 10 candles, indicating low volatility (e.g., doji).
EMA proximity: The candle is near or crosses a defined EMA (e.g., 10, 60, or 223 periods).
Trend conditions: Follows a red candle, with the close of the previous previous candles above a specific EMA, suggesting a potential bullish resumption or stabilization.
Limited spike: The candle has minimal tails (spikes, ) below a set threshold (default 1%).
Minimum timeframe: Appears on timeframes ≥ set value (default 5 minutes) or daily charts.
Non-consecutive: Not preceded by other RCs in the last 3 candles.
Types:
Doji_fin: Green circle above, signaling a bullish bullish setup near longer EMAs.
Dojifin_2: Yellow Red circle below, signaling a bearish setup near shorter EMAs.
Trading uses:
Reversal: RCs near EMAs signal bounces or rejections, ideal for counter-trend trades.
Continuation: In trends, RCs indicate pauses before trend resumption, offering low-risk entries.
Support/resistance confirmation: EMA proximity strengthens the level's significance.
Risk management: Small bodies and EMA proximity allow tight stop-losses.
Limitations:
False signals: Common in volatile or sideways markets; use with additional confirmation.
Timeframe dependency: More reliable on higher timeframes (e.g., 1-hour or daily).
Customization needed: Thresholds (e.g., spike, timeframe) must be tailored to the market.
Conclusion:
Reset Candles highlight low-volatility moments near technical levels (EMAs) that may precede significant moves. They are ideal for precise entries with tight stops in reversal or continuation strategies but require clear market context and additional confirmation for optimal effectiveness.
#ema #candlepattern #scalping
BeeQuant - Hive Smoothing Average🔶 OVERVIEW
The "Hive Smoothing Average" is your gateway to crystal-clear market insights, a truly advanced tool that cuts through confusing price "noise" to reveal the true underlying trend. Imagine having a panoramic view of the market's true direction, unclouded by minor ups and downs. This powerful indicator dynamically filters out market distractions, presenting you with a highly refined line that not only shows you the genuine path of price but also changes color. It’s built for traders who demand clarity and want to confidently spot opportunities that others might miss in messy charts.
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🧠 CONCEPTS
At its heart, the "Hive Smoothing Average" employs a sophisticated multi-stage processing system to transform raw price data into an incredibly smooth and responsive smoothed moving average line. It's designed to give you an unparalleled view of market direction and momentum.
⬜ Synthesizes multiple smoothing layers to deliver a balanced representation of underlying price action.
⬜ Offers enhanced visual consistency by filtering volatility distortion without delay-based lag.
⬜ Presents color-coded transitions and signal markers to aid in directional conviction and structural flow.
⬜ Embeds a modular smoothing core adaptable across market environments and asset classes.
Hive Smoothing Average doesn't forecast, it refines. It provides a more coherent view of price evolution, allowing for higher-confidence discretion and more robust strategy overlays.
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✨ FEATURES
Hive Smoothing Average is loaded with flexibility and visual power to enhance your decision-making:
🔹Customizable Smoothing
Tailor the indicator’s core behavior using a wide range of smoothing algorithms — from classic to advanced — to match your trading tempo and asset dynamics.
🔹 Intelligent Color Feedback
The line color dynamically shifts to reflect meaningful trend transitions, offering at-a-glance clarity without crowding your chart.
🔹 Trend Signal Markers
Built-in arrow markers highlight potential transitions in price momentum, acting as subtle nudges to investigate further.
🔹 Multi-Timeframe Ready
Designed to operate cleanly across all timeframes, from scalping micro-trends to monitoring macro cycles.
🔹 External Source Collaboration
Hive Smoothing Average includes two flexible input channels that can seamlessly connect with other indicators on your chart.
🔹 Adaptive Bands
A powerful enhancement to the Hive framework, the optional Standard Deviation Bands add dynamic context to price behavior by highlighting how far price is moving relative to its recent average volatility.
Length: Controls the lookback period for volatility calculation.
Lower values (e.g., 20 – 50) make the bands highly reactive Higher values (e.g., 200 – 500) smooth out the bands (classic envelope systems )
These bands offer valuable visual cues for both volatility expansion and mean reversion potential, especially when combined with Hive’s core candle coloration logic.
🔹Non-Repainting Logic for Historical Reliability
Each "Hive Smoothing Average" is plotted only when its internal reconstruction conditions are fully met and confirmed. This ensures that the historical display of Hive Smoothing Average does not repaint, providing a high degree of reliability and trust in past signals and visualizations.
🔹Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Getting started with Hive Smoothing Average is seamless and intuitive:
✨ Apply to Any Chart
Simply add the indicator to any asset or timeframe and see immediate transformation in chart clarity.
💹 Source Data Flexibility
Choose your preferred price data source for each smoothing stage (e.g., Close, Open, High, Low), providing complete control over the input feeding the sophisticated smoothing algorithms.
🛠️ Adjust Smoothing Behavior
Choose your preferred initial and final smoothing types (EMA, HMA, ALMA, etc.), and tweak lengths for desired responsiveness or smoothness.
📐 Use Bands for Confluence
Enable the Bands mode to visualize dynamic zones around your smoothed price. Useful for breakout validation and fade zones.
🟩 Green Smoother Line
Indicates strengthening bullish bias and upward progression.
🟥 Red Smoother Line
Suggests weakening or shifting trend toward bearish territory.
📈 Arrow Signals
Upward or downward triangles appear when directional bias changes — confirming subtle pivots in trend behavior.
🎯 Offset Adjustment
Fine-tune the visual positioning of the smoothed line and bands on your chart with a convenient "Offset" input.
📏 Lookback Filter
Activate the “Lookback Filter” setting to remove weaker signals based on custom historical logic. By checking recent candle behavior, it filters out low-quality transitions and only keeps strong, confirmed shifts — helping you avoid noise and stay focused on reliable breakouts.
Experiment with settings based on your trading timeframe. Short-term traders may prefer fast-reactive configurations, while swing or positional traders can explore higher-period smoothings for structural signals.
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⚠️ LIMITATIONS
While Hive Smoothing Average delivers incredible trend clarity, it’s essential to use it within its designed purpose:
👉 Visual Clarity, Not Trade Calls: This tool enhances visibility of market behavior, not automatic signals. Use it as a trusted lens — not a standalone system.
👉 Reactive, Not Predictive: Hive Smoothing Average responds to price action with refined smoothing. It is not a forecasting model.
👉 Config-Sensitive Output: Different smoothing setups can produce different levels of sensitivity or delay. Calibration matters — explore what fits your asset and style.
👉 Focuses on Price Action Only: It does not integrate volume, fundamentals, or external market influences. It’s engineered purely for price structure refinement.
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🎯 CONCLUSION
Hive Smoothing Average provides a high-performance, low-noise framework to view price with remarkable clarity. With its adaptive smoothing layers, bands support, and intelligent signal markers, it becomes a powerful tool to enhance your trend confidence and charting efficiency. By furnishing immediate, data-driven feedback on the market's core momentum and signaling critical turning points, it profoundly empowers traders to rapidly ascertain nascent market shifts and identify pivotal directional changes. Seamlessly integrate this sophisticated visual tool within your pre-existing technical analysis architecture to acquire a sharper, more insightful perspective, and fundamentally elevate your strategic acumen, optimizing your decision-making processes to a degree previously unattainable. It's about experiencing the market's true rhythm.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Smoothing Average" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
BeeQuant - Hive HeikinAshi💠 OVERVIEW
The "Hive HeikinAshi" is your ultimate tool for simplifying the chaotic world of price charts. Imagine a specialized lens that cuts through all the market "noise" – those tiny, confusing movements – and reveals the clear, underlying current of price action. This indicator transforms standard, sometimes choppy, candlestick charts into a powerful, trend-focused visualization. It’s designed to help every trader, whether you're a discretionary trader seeking cleaner structures or a quant enthusiast looking for visual cues to complement models, Hive HeikinAshi provides a simplified yet highly informative lens through which to read price action.
Its main advantage lies in its seamless compatibility with external indicators — offering a next-level smoothing foundation that enhances the clarity and reliability of any existing trend, momentum, or signal-based system layered on top of it.
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🧠 CONCEPTS
At its core, the "Hive HeikinAshi" isn't just another way to look at candles; it's a profound re-interpretation of price dynamics. It employs a sophisticated internal process to distill raw market movements into a more coherent, trend-identifying display, making the market's story incredibly easy to read.
The "Hive" Transformation: Unlike traditional candlesticks that show every small price fluctuation, the "Hive HeikinAshi" candles are intelligently constructed to smooth out the data. They are derived from a multi-point calculation process, creating a new, more consistent visual representation of price. This transformation helps to reduce the "visual clutter" and make trend following a much more intuitive experience. You'll see the forest, not just the trees.
⬜ Highlights dominant price direction by filtering reactive fluctuations
⬜ Visually separates impulsive vs corrective behavior with clear color transitions
⬜ Enables quicker discretionary recognition of trend shifts without complex overlays
⬜ Ideal for confirming momentum zones and stable trending phases
⬜ The Intelligent Filter. An optional yet powerful "Filter" mechanism has been integrated, providing an additional layer of analytical discernment.
⬜ Designed to integrate natively with trend-following, oscillator, or signal indicators — enabling amplified precision across diverse trading systems
A significant advantage of the "Hive HeikinAshi" is its inherent ability to minimize distracting "noise" from typical candle wicks. While standard candles can often show long, confusing wicks that obscure the true body direction, our specialized candles are engineered to emphasize the core directional move. This intelligent design allows you to focus on the momentum generated by the candle's body, rather than getting sidetracked by fleeting price extremes, thereby providing a cleaner, more reliable visual of trend strength.
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✨ FEATURES
Hive HeikinAshi includes several key features designed for both clarity and functionality:
🔹Multi-Bar Averaging
Generates a visually balanced candle structure using averaged pricing across configurable recent bars.
🔹 Wickless Visualization
Candles are rendered without upper/lower shadows, enhancing trend detection and reducing signal confusion.
🔹 Signal Filter
Adaptive color filter using a dynamic high/low lookback logic
🔹 Directional Color Coding
Clean green/red coloring helps instantly interpret bullish or bearish pressure.
🔹 Adjustable History Depth
Customize how many bars are considered in the smoothing process to match your style and timeframe.
🔹 Invisible Price Feed Outputs
Underlying smoothed OHLC values are available for custom strategies or overlays.
🔹Non-Repainting Logic for Historical Reliability
Each "Hive HeikinAshi" is plotted only when its internal reconstruction conditions are fully met and confirmed. This ensures that the historical display of HeikinAshi does not repaint, providing a high degree of reliability and trust in past signals and visualizations.
🔹Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Using Hive HeikinAshi is simple and effective:
📥 Add to Chart
Once access is granted, apply the indicator to any timeframe or asset directly from your TradingView invite-only indicators list.
⚙️ Tweak “No. of Bars”
This setting controls how far back the smoothing engine looks.
• Lower values = more responsive, shorter-term smoothing
• Higher values = steadier candles, better for macro trends
🎚️ Next, consider the "Filter" option:
Turn this on to activate the advanced filtering mechanism. Then, adjust the "lookback bars" (from 1 to 10). A smaller number here will make the filter more responsive to immediate "Hive HeikinAshi" candle extremes, while a larger number will require a more sustained breakout from the recent filtered range. Experiment to discover the optimal "sweet spot" that best reveals the underlying market flow for your specific strategy. The tooltip guides you to this optimal setting.
Disable "Filter": If turned off, the candles will revert to a more direct HeikinAshi coloration based purely on their calculated open and close, without the additional layer of range filtering.
🔍 Interpreting Candles
• 🟢 Green Candle: Bullish continuation zone
• 🔴 Red Candle: Bearish pressure dominates
• Lack of wick = strong directional conviction
Combine with your favorite indicators — Hive HeikinAshi acts as a foundation to reduce noise and enhance clarity across tools like EMAs, MACD, VWAP, and more.
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⚠️ LIMITATIONS
While Hive HeikinAshi provides clear visual advantages, it is important to understand its scope:
👉 Not a Signal Generator: This indicator excels at identifying and confirming trends, making it less suitable for pinpointing exact, high-frequency entry and exit points that require unadulterated real-time price. It prioritizes overall directional clarity.
👉 Lag by Design: Due to multi-bar data smoothing, candles reflect stable price behavior but not ultra-short-term fluctuations.
👉 No Volume or Macro Inputs: Hive HeikinAshi focuses purely on price structure — it does not include volume, news, or external conditions.
👉 Filter Calibration: While the "Filter" enhances clarity, its effectiveness is dependent on appropriate "lookback bars" calibration. Users should understand that adding filtering inherently balances responsiveness with a more refined signal, and finding the optimal setting is part of the analytical process.
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🎯 CONCLUSION
Hive HeikinAshi is a powerful visual companion for modern traders seeking smoother, clearer price trends. By combining directional clarity with reduced chart clutter, it allows you to interpret the market with less noise and more confidence. Seamlessly integrate this advanced visual tool within your analytical framework to gain a sharper, more confident perspective, and elevate your strategic decision-making in the markets. It's about seeing the unseen, with clarity.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive HeikinAshi" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.