Smart Money Breakouts Smart Money Breakouts — Universal Structure-Based TP/SL System
Smart Money Breakouts is a structure-driven breakout system built around BOS / CHoCH detection, higher-timeframe bias filters, and entry-centric risk management.
The script follows a conservative execution model inspired by institutional price structure — without repainting and without re-evaluating past signals.
This tool is designed for systematic traders who want objective breakout confirmation, consistent execution logic, and programmatically formatted alerts suitable for automated trade processing.
Core Logic
The indicator detects:
• Swing BOS (Break of Structure)
• Swing CHoCH (Change of Character)
• Internal structures
• Valid impulse-based breakout legs
Structure events are processed through a candidate-based execution model:
A BOS / CHoCH creates a trade candidate
The candidate is valid only for a limited number of bars
Entry is allowed only on the bar immediately following the structure break
If the candidate expires — no trade is taken
This prevents late entries, mitigates structure drift, and eliminates “signal stretching” in long consolidations.
The script does not repaint.
Signals are generated only after a confirmed bar close.
Entry-Centric TP / SL (Structure-Based)
Take-profit and stop-loss levels are calculated after entry, using the nearest valid BOS / CHoCH as the structure anchor.
For each trade:
• Structure = BOS / CHoCH → Entry range
• Body extreme is detected inside the structure window
• Structure distance is measured
• TP and SL are derived proportionally
If structure distance cannot be calculated, an ATR-based fallback is used to avoid undefined risk.
TP1 is optional and can be used as a break-even activation level.
The script does not force or filter trades using TP/SL logic —
TP/SL is position management only.
Built-In Filters (Fully Toggleable)
Optional filters include:
• Volume bias threshold
• Higher-Timeframe structure bias
• Multi-Timeframe structure confirmation
• Dead-session / low-liquidity filter
• Minimum swing size
• Minimum spread filter
• Minimum structure size filter
All filters are configurable and can be disabled if needed.
No external data sources are used.
Break-Even & Position Handling
Break-even is applied only after TP1 is reached and is activated on the next bar to avoid intrabar conflicts.
Execution order prioritizes:
Stop-Loss
TP1 / Break-Even
TP2 (full target)
Only one outcome can occur per bar.
This produces deterministic trade outcomes and avoids ambiguous intrabar states.
Alerts & Automation
Alerts are emitted only on confirmed entry signals.
Alert payloads are exported in structured JSON format so they can be parsed by external trade-execution systems or custom automation tools.
The indicator itself does not execute trades and does not place or manage orders.
Any automation must be implemented externally at the user’s discretion.
Important Notes
This script:
• does not guarantee profitability
• does not provide financial advice
• should be tested before live use
• should be used as a decision-support tool only
Trading involves risk and past behavior of price structure does not imply future results.
Indicadores y estrategias
Volume RatioVolume is separated by utilizing the candle OHLC to determine a proxy ratio.
"Winning" Volume is always stacked on top giving you a clear visual indication of the candle winner and by how much.
Current candle volume ratio is shown in a table, with the winner always staying on the left side providing a fast visual indication.
Optional Moving Average plot to see relative volume.
Multi timeframe MACDThis script is a Dual Multi‑Timeframe MACD tool designed for traders who want stronger confirmation signals by combining two MACDs across different resolutions. It plots both MACD lines, signal lines, and histograms with customizable colors, plus optional dots to mark crossovers.
Key features include:
📊 Dual MACD calculation: choose independent timeframes for MACD1 and MACD2.
🎨 Custom visualization: toggle histograms, signal lines, crossover dots, and dynamic color changes.
🟩🟥 Background & candle coloring: highlights buy/sell zones only when both MACDs agree, with optional toggles.
➖➕ Overbought/oversold reference lines: customizable horizontal levels (e.g., +1 and –1) for quick visual thresholds.
⚡ Overlay markers: optional dots on the main chart to mark MACD color changes.
🛠️ User controls: inputs to enable/disable candle coloring, adjust levels, and fine‑tune display preferences.
This indicator helps filter noise by requiring dual confirmation, making it easier to spot high‑probability trend shifts. It’s flexible enough for scalpers, swing traders, and multi‑timeframe analysts.
Chislo Maths TradeChislo Maths Trade :
Chislo Trade primariy focus on OPTION BUYING, using its Green Box & Red Box.
Green Box :
We enter at bottom of green box and cover at its top.
Red Box :
Until price inside RED Box, price is not ready to buy.
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For Open source queries, feel free to discuss. No money will be asked to anyone.
t.me
Regression ADX LinReg Kernel RBF Strength DirectionThe Regression ADX is an advanced momentum and regime-detection indicator that re-engineers the traditional ADX/DMI framework using regression-smoothed price data instead of raw candles.
By applying Linear Regression or Gaussian Kernel (RBF) regression to price before calculating ADX, this indicator significantly reduces noise while preserving true directional control and trend strength.
The result is a cleaner, more predictable read on market momentum and direction, especially in choppy or algorithm-driven environments.
What Makes This Different
Traditional ADX reacts to raw price fluctuations, often producing false momentum signals in sideways markets.
This version:
Smooths High / Low / Close using regression
Computes +DI / −DI on the smoothed structure
Measures true expansion vs compression, not noise
Separates directional control from trend strength
Core Components
ADX (Strength): Measures trend expansion regardless of direction
+DI / −DI (Direction): Identifies bullish vs bearish control
Direction Bias Histogram: (+DI − −DI) for fast directional clarity
Regression Engine Selector:
Linear Regression – faster, responsive
Kernel RBF Regression – smoother, more stable regime detection
How to Read It
ADX Rising → Momentum expanding (conditions improving)
ADX Falling → Compression / chop risk
+DI above −DI → Bullish directional control
−DI above +DI → Bearish directional control
Bias Histogram above zero → Bullish pressure
Bias Histogram below zero → Bearish pressure
Best Practices
✔ Use as a trade filter, not a signal generator
✔ Trade in the direction of DI dominance
✔ Prioritize setups when ADX is rising above 20–25
✔ Avoid entries during falling ADX or neutral bias
✔ Excellent for futures, options, and high-frequency markets
Who This Is For
Momentum and trend traders
Quant-style system builders
Traders looking to avoid chop
Anyone who uses ADX but wants a cleaner, smarter version
What This Indicator Is Not
✖ Not a buy/sell system
✖ Not a moving average crossover
✖ Not designed for beginners
Summary
Regression ADX transforms a classic indicator into a modern regime engine by combining directional movement theory with regression-based smoothing.
If you want to know when momentum is real, when direction is controlled, and when it’s worth trading, this indicator provides that edge.
EMA Candle Color with VWAP & Glow EffectKey Features:
Colored Candles - Candles automatically change color based on price position relative to the primary EMA (green above, red below)
Dual EMA System - Two fully customizable EMAs (default 21 & 50) for trend identification and multi-timeframe analysis
VWAP with Glow Effect - Volume-weighted average price with an optional visual glow effect for enhanced visibility and importance emphasis
Buy/Sell Signals - Automatic triangle markers when price crosses above (buy) or below (sell) the primary EMA
Fully Customizable - All colors, lengths, and display options can be adjusted to suit your trading style
Alert Ready - Built-in alert conditions for EMA crossovers
Settings:
Primary EMA Length (default: 21)
Secondary EMA Length (default: 50)
VWAP with adjustable glow intensity (1-5)
Individual on/off toggles for all components
Custom color schemes for all elements
Best Use Cases:
Trend identification and confirmation
Entry/exit signal generation
Multi-timeframe analysis
Volume-weighted support/resistance levels
Note: This indicator works on all timeframes and asset classes. Adjust EMA lengths based on your trading style (shorter for scalping, longer for swing trading).
Maybe/probably ignore sell signals when both EMA/s above VWAP etc
Let go!!!!
Timeframe WatermarkA clean, minimal watermark indicator that displays the current chart timeframe as a large, semi-transparent text overlay.
Features:
Automatically formats timeframes (1M, 15M, 1H, 4H, 1D, 1W, etc.)
Fully customizable appearance
9 position options (corners, edges, center)
Adjustable transparency for non-intrusive display
Works on all chart types and timeframes
Settings:
Appearance
Color : Watermark text color (default: gray)
Transparency : 0 = solid, 100 = invisible (default: 85)
Size : Tiny / Small / Normal / Large / Huge
Position
Vertical : Top / Middle / Bottom
Horizontal : Left / Center / Right
Use Cases:
Quick timeframe reference when analyzing multiple charts
Screenshot clarity for sharing chart analysis
Multi-monitor setups where timeframe visibility matters
Lightweight overlay indicator with zero impact on chart performance.
2xATR Day SignalThis indicator is designed for daily chart analysis to identify "Exhaustion" or "Momentum" candles based on volatility. It specifically looks for days where the price range—including any overnight gaps—exceeds a user-defined multiplier of the Average True Range (ATR), typically 2x.
Unlike standard range indicators, this script treats the overnight gap as part of the daily expansion, providing a more accurate representation of the market's total move from the previous close.
Key Features
Gap-Inclusive Range: The "Span" is calculated from the previous day's close to the current day's high/low extremes.
Expansion Filter: To ensure the move is meaningful, at least 50% of the required ATR range must occur outside the previous day's High-Low range.
Retracement Control: Prevents signaling on candles with long wicks (reversals). If the price pulls back more than 20% from its daily extreme, the signal is downgraded or invalidated.
Visual Distinction:
Solid Shapes: All conditions met (High momentum).
Transparent Shapes (Warnings): The 2xATR range was met, but the candle failed the expansion or retracement filter.
How to use
ATR Length: Period for ATR calculation (Default: 14).
ATR Multiplier: Sensitivity of the signal (Default: 2.0).
Max Retracement (%): How much of the move can be "given back" before the signal weakens (Default: 20%).
Important Note
This indicator is optimized specifically for the Daily (D) timeframe. Visual signals are hidden on lower timeframes to maintain chart clarity.
Disclaimer: This script is for educational purposes only and does not constitute financial advice.
SPX Volatility EngineWhy This Framework Exists
Intraday markets generate an abundance of information, but not clarity.
Volatility, structure, momentum, and internal conditions often provide conflicting signals in real time, leaving traders uncertain not about what they see, but about what matters now.
Most tools excel at measuring individual aspects of the market. Very few help resolve which information should be prioritized, suppressed, or deferred when conditions are misaligned.
The SPX Volatility Engine was built to address this specific problem:
to provide structured, real-time decision context so traders can understand when the market environment supports participation and when restraint is warranted.
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How the SPX Volatility Engine Works (Conceptual)
The SPX Volatility Engine is a decision-support framework, not a signal generator.
Rather than presenting independent indicators side-by-side, the system evaluates volatility state, structure, and directional behavior through a contextual hierarchy, emphasizing alignment over activity. Its purpose is to resolve ambiguity created when these dimensions disagree.
At a conceptual level, the framework:
• Interprets volatility regime and compression state to frame market pacing
• Evaluates directional behavior within structural context, not in isolation
• Classifies conditions based on environmental alignment, not indicator triggers
• Suppresses low-quality participation when contextual conflicts exist
The value of the framework lies in how market information is framed and filtered, not in any single calculation. This integration logic is the reason the script is maintained as closed source.
The SPX Volatility Engine does not attempt to predict outcomes.
It clarifies what type of market is currently present, allowing traders to adapt expectations and behavior accordingly.
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How the Components Work Together
The SPX Volatility Engine is not a collection of independent indicators. It is a single, integrated script designed to evaluate signal quality through structural and volatility context, rather than displaying raw signals in isolation.
At its core, the system continuously derives four algorithmic signals (two long-biased and two short-biased). These signals adapt to changing volatility regimes, meaning the same signal can carry different significance depending on prevailing market conditions.
Rather than treating signals as binary events, the script applies a Structural Intelligence Layer that evaluates each signal at the moment it occurs. This layer incorporates familiar market constructs—such as supply and demand zones, Fibonacci levels, and volatility compression states—not as standalone overlays, but as evaluative inputs that determine whether a signal is contextually valid.
Each signal is graded in real time and classified into one of three categories:
• Out-of-Context — the signal exists, but current structure or volatility conditions make it unreliable
• Priority — partial alignment is present and conditions warrant attention
• Ideal — volatility regime, structural context, and directional behavior are aligned
These classifications are intended to guide trader behavior—signals marked Out-of-Context are typically ignored, Priority signals monitored with caution, and Ideal signals treated as structurally supported opportunities.
These familiar structural elements are included explicitly within the same script to ensure consistency and prevent interpretive mismatch. If structure and volatility context were viewed separately, signals could appear actionable when they are not. Their inclusion is therefore not for visual convenience, but to enforce precision in how signals are interpreted and ranked.
All signal states, classifications, and contextual cues are summarized through a unified Heads-Up Display (HUD), allowing traders to assess signal quality and market context at a glance without manually cross-referencing multiple indicators.
The result is not more signals, but fewer, higher-quality decisions, created by how signals, structure, and volatility interact within a single analytical framework.
Ideal CALL-1 shown in real time with SPX price in supply zone (red boxes) and HUD confirming “In Supply” and ATR(14) confirming price at top of daily range (white diamond on bottom line of HUD).
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What Appears on the Chart
When applied, the SPX Volatility Engine presents a unified on-chart framework that includes:
• A Heads-Up Display (HUD) summarizing directional bias, volatility environment, and contextual classification
• Contextual CALL / PUT markers that are classified, not blindly generated
• Structural reference zones used to frame directional interaction
• Real-time regime and alignment cues designed to support disciplined interpretation
A public companion indicator, SVE Compression Mirror (Companion), is available to display the same compression state and histogram context referenced by this framework in a dedicated lower pane.
Together, these elements provide clarity without clutter, emphasizing decision context rather than frequency.
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Intended Use
The SPX Volatility Engine is designed for:
• Intraday traders who value context before conviction
• Discretionary traders seeking a rules-based framework to support judgment
• Professionals and advanced retail traders who prioritize clarity over signal volume
The framework is intended to support interpretation and decision discipline.
It does not provide trade entries, targets, or investment advice.
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Access
This script is available by Invite-Only.
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Disclaimer
This indicator is provided for informational and analytical purposes only and does not constitute investment advice, trading advice, or a recommendation to buy or sell any security or instrument.
The SPX Volatility Engine does not execute trades and does not guarantee results. All trading decisions remain the sole responsibility of the user. Past performance, classification outcomes, or example scenarios shown are not indicative of future results.
This software is provided “as is,” without warranty of any kind, express or implied, including but not limited to fitness for a particular purpose or accuracy. Trading SPX and related instruments involves substantial risk and may result in losses exceeding initial expectations. Users should trade responsibly and in accordance with their own risk tolerance.
CVD Absorption & Distribution Pro v3 (With Logit Regression)CVD Absorption & Distribution Pro v3 - Complete Guide
Introduction and Overview
The CVD Absorption and Distribution Pro v3 is an advanced trading indicator designed for TradingView that reveals hidden market dynamics invisible on standard price charts. This tool analyzes the battle between buyers and sellers at the micro level, identifying when large institutional players are quietly accumulating or distributing positions while price remains deceptively stable.
Traditional volume indicators fail traders because they treat all volume the same way. They cannot distinguish between aggressive buying and aggressive selling. More importantly, they cannot reveal when significant selling pressure is being absorbed by hidden buyers, or when strong buying pressure is being quietly distributed by large sellers. This information asymmetry has historically given institutional traders a massive advantage over retail participants.
This indicator solves that problem by implementing Cumulative Volume Delta analysis combined with machine learning prediction models, hidden liquidity detection, and comprehensive statistical validation. The result is a professional-grade analytical tool that was previously available only on expensive specialized platforms, now accessible to the entire TradingView community.
What is Cumulative Volume Delta
Cumulative Volume Delta, commonly known as CVD, is a method of categorizing trading volume based on whether it represents buying or selling pressure. The concept is straightforward. When price ticks upward from one moment to the next, the volume associated with that price movement is classified as buying volume. When price ticks downward, that volume is classified as selling volume. The difference between total buying volume and total selling volume over a given period is the delta.
A positive delta indicates that buyers were more aggressive during that period. A negative delta indicates sellers were more aggressive. By tracking this delta cumulatively over time, traders can see the underlying pressure that may not be immediately visible in price action alone.
However, raw CVD analysis has limitations. The real trading edge emerges when we compare what the CVD suggested should happen to price versus what actually happened. When there is significant selling pressure but price fails to decline, something interesting is occurring. Someone is absorbing all that selling. This is where the concepts of absorption and distribution become critically important.
Core Functionality Explained
The indicator operates by accessing one-second bar data from TradingView, the finest granularity available on the platform. This micro-level data is then grouped into clusters, which are user-configurable time blocks. The default setting creates clusters of sixty one-second bars, effectively creating one-minute analysis blocks. However, traders can adjust this to create clusters representing anywhere from a few seconds to several minutes depending on their trading style.
For each one-second bar within a cluster, the script must determine whether to classify the volume as buying or selling. This classification happens based on whether price moved up or down compared to the previous bar. But what happens when price does not change at all? The indicator provides three methods to handle this situation.
The first method, called Last Direction, assigns unchanged volume to whichever direction occurred most recently. If the previous tick was an uptick, the unchanged volume is counted as buying. This approach assumes market momentum tends to persist at very short timeframes.
The second method, called Split Fifty-Fifty, divides unchanged volume equally between buying and selling. This conservative approach acknowledges that when price does not move, we genuinely cannot know whether buyers or sellers were responsible.
The third method simply ignores unchanged ticks entirely, excluding them from the CVD calculation. This purist approach ensures only directionally confirmed volume influences the analysis.
Understanding Absorption
Absorption is one of the two primary signals this indicator detects. Absorption occurs when significant selling pressure fails to push price lower. Imagine a scenario where the delta is strongly negative, meaning sellers are aggressively hitting bids and overwhelming buyers. Under normal circumstances, this should drive price down. But if price stays flat or even rises despite this selling pressure, something unusual is happening. A large buyer is absorbing all that selling without allowing price to fall.
This behavior is characteristic of institutional accumulation. Large players who want to build substantial positions cannot simply place massive buy orders because that would move price against them immediately. Instead, they often buy by absorbing selling pressure. They let other participants sell to them at stable prices, quietly accumulating shares without revealing their intentions.
The indicator identifies absorption by first checking whether the CVD magnitude exceeds a calculated threshold based on historical averages. If the CVD is significantly negative and exceeds this threshold, the script then examines what happened to price. If price moved up or stayed flat, this is classified as full absorption. If price moved down but moved less than expected given the selling pressure, this is classified as partial absorption.
The expected price move is calculated based on the relationship between CVD magnitude and typical price movement observed historically. If current CVD is twice the average, the expected price move would be approximately twice the average price move. When actual price movement falls short of this expectation, the shortfall percentage quantifies the absorption.
Understanding Distribution
Distribution is the mirror image of absorption. It occurs when significant buying pressure fails to push price higher. When delta is strongly positive but price stays flat or even declines, someone is distributing shares into that buying pressure. They are selling to eager buyers without allowing price to rise.
This behavior characterizes institutional distribution. Large holders who want to exit substantial positions face the same challenge as accumulators. They cannot simply dump massive sell orders because that would crash the price before they finish selling. Instead, they often sell by distributing into buying pressure, letting other participants buy from them at stable prices while quietly reducing their position.
The indicator identifies distribution using the same logic as absorption but in reverse. Strongly positive CVD that exceeds the threshold combined with flat or declining price signals distribution. Partial distribution is identified when price rises but rises less than the CVD magnitude would suggest.
Hidden Liquidity Detection
Perhaps the most valuable feature of this indicator is its ability to quantify hidden liquidity. Hidden liquidity refers to large orders that are not fully visible in the order book. Institutional traders commonly use iceberg orders, which display only a small portion of the total order size while the rest remains hidden. As the visible portion gets filled, more of the hidden quantity is revealed.
The indicator estimates hidden liquidity by analyzing partial absorption and partial distribution events. When price moves less than expected given the CVD, the difference represents volume that was absorbed by hidden orders. The cumulative hidden buy liquidity and hidden sell liquidity provide insight into institutional activity that remains completely invisible on standard charts.
A high ratio of hidden buy liquidity to hidden sell liquidity suggests institutional accumulation is occurring. Conversely, a high ratio of hidden sell liquidity to hidden buy liquidity suggests institutional distribution. These signals often precede significant price movements as the institutional positioning eventually influences market direction.
The Prediction Model
This indicator goes beyond simple pattern detection by implementing a genuine machine learning model trained on historical data. The model uses logistic regression to predict whether price will move up or down in subsequent clusters based on current market conditions.
The model considers three primary factors. First, it looks at the normalized CVD, which measures current CVD relative to its historical average and variability. Second, it examines net flow, which is the difference between absorption and distribution. Third, it analyzes hidden flow, the difference between hidden buy liquidity and hidden sell liquidity.
During the training process, the model examines historical clusters where price actually moved significantly. It learns the relationship between these three factors and subsequent price direction. Through iterative gradient descent, the model adjusts its coefficients to best fit the historical data.
The output is a probability between zero and one representing the likelihood that the next cluster will see upward price movement. A probability above sixty percent suggests bullish conditions. A probability below forty percent suggests bearish conditions. Values between forty-five and fifty-five percent indicate neutral or uncertain conditions.
Model Validation Metrics
The indicator provides several metrics to help traders assess whether the prediction model is actually useful for the specific instrument they are analyzing. This validation is critically important because not all instruments exhibit predictable CVD-price relationships.
Logistic Accuracy shows the percentage of correct binary predictions across the training window. An accuracy of fifty percent is essentially random, providing no edge. Accuracy above fifty-five percent suggests the model has genuine predictive value.
Sign Agreement Rate measures how often CVD direction matched price direction historically. When CVD is positive and price goes up, or when CVD is negative and price goes down, this counts as agreement. A sign agreement rate significantly above fifty percent indicates that CVD provides useful directional information for this instrument.
Weighted Sign Agreement applies the same concept but weights each observation by CVD magnitude. High-magnitude CVD events that correctly predict direction count more than low-magnitude events. This metric reveals whether strong CVD signals are more reliable than weak ones.
If these validation metrics are close to fifty percent, traders should be cautious about relying on the model for that particular instrument. The CVD-price relationship may be too noisy or the market microstructure may not suit this type of analysis.
Bucket Analysis
The indicator performs bucket analysis by segmenting historical data into five groups based on CVD magnitude. The first bucket contains clusters where CVD was very strongly negative, more than twice the average in the negative direction. The second bucket contains moderately negative CVD clusters. The third bucket represents neutral conditions where CVD was within one standard average of zero in either direction. The fourth bucket contains moderately positive CVD, and the fifth bucket contains very strongly positive CVD.
For each bucket, the indicator calculates what percentage of clusters saw price move upward. In a market where CVD has predictive value, we would expect to see low upward percentages in negative CVD buckets and high upward percentages in positive CVD buckets. The spread between the highest and lowest buckets indicates how useful CVD is for predicting direction.
If the bucket analysis shows similar upward percentages across all buckets, the CVD-price relationship is essentially random for that instrument. If the pattern shows the expected gradient from low to high, CVD analysis should provide genuine trading edge.
Strength Tiers
Not all absorption and distribution events are equally significant. The indicator classifies events into three strength tiers based on their magnitude relative to baseline averages.
Normal events occur when CVD is between one and two times the average magnitude. These events happen regularly throughout trading sessions and represent standard market dynamics.
Strong events occur when CVD is between two and three times the average magnitude. These elevated significance events warrant additional attention and may indicate more substantial institutional activity.
Exceptional events occur when CVD exceeds three times the average magnitude. These rare occurrences often precede significant price movements and represent major institutional footprints in the market.
The indicator tracks how many events of each tier occurred during the display period, helping traders identify sessions with unusual institutional activity.
Divergence Detection
The indicator implements sophisticated divergence detection that compares trends in CVD with trends in price over a rolling window of recent clusters. Divergence occurs when these two metrics move in opposite directions or when one moves significantly while the other remains flat.
Bullish divergence manifests in two forms. Hidden accumulation occurs when the CVD trend turns increasingly positive while price remains flat, suggesting buying pressure is building without yet moving price. CVD accumulation occurs when average CVD is positive but average price movement is minimal.
Bearish divergence also manifests in two forms. Hidden distribution occurs when CVD trend turns increasingly negative while price remains stable, suggesting selling pressure is building. CVD distribution occurs when average CVD is negative but price refuses to decline.
Divergence signals are quantified by their strength relative to baseline averages, allowing traders to prioritize the most significant divergences.
Display and Interface
The indicator presents all its analysis through a comprehensive table overlay positioned on the chart. The table is organized into logical sections that can be individually enabled or disabled based on trader preferences.
The Direction Prediction section shows the current signal, probability, and period cluster breakdown between bullish, bearish, and neutral predictions. The Model Performance section displays accuracy metrics and training sample counts.
The CVD Bucket Analysis section shows the five-bucket breakdown with upward percentages for each, along with an interpretation of whether a predictable pattern exists.
The Baselines section displays the calculated averages for CVD and price movement, along with the current threshold being used for event detection.
The Results section shows total absorption and distribution for the display period, the ratio between them, net values, and an overall flow signal interpretation.
The Full versus Partial section breaks down events by type, showing how much activity was full absorption or distribution versus partial events indicating hidden liquidity.
The Hidden Liquidity section displays estimated hidden buy and sell volumes, their ratio, average shortfall percentages, and an iceberg signal interpretation.
The Strength Tiers section shows event counts by tier for both absorption and distribution, highlighting any exceptional events.
The Divergence section indicates whether bullish or bearish divergence is currently present and its strength.
The Statistics section provides cluster counts and event counts for reference.
Configuration Recommendations
For scalping and very short-term trading with holding periods of one to five minutes, traders should use smaller cluster sizes around thirty to sixty seconds, shorter average lengths around two to three hundred clusters, and enable intensity weighting to emphasize high-magnitude events.
For day trading with holding periods of fifteen to sixty minutes, the default settings work well. Cluster size of sixty for one-minute analysis, average length of seven hundred fifty for approximately two trading days of history, and single-day display period provide balanced analysis.
For swing trading with multi-day holding periods, larger cluster sizes of three hundred to six hundred representing five to ten minute blocks reduce noise. Longer average lengths of seven fifty to fifteen hundred clusters capture broader patterns. Multi-day display periods of three to five days reveal accumulation and distribution over meaningful timeframes.
Interpreting Results
When the absorption to distribution ratio exceeds one point five, this suggests bullish underpinnings. Selling pressure is being absorbed, potentially indicating institutional accumulation. Traders should look for confirmation from hidden buy liquidity metrics, model probability favoring upside, and any bullish divergence signals.
When the ratio falls below zero point six seven, this suggests bearish underpinnings. Buying pressure is meeting distribution, potentially indicating institutional selling. Validate with hidden sell liquidity metrics, model probability favoring downside, and any bearish divergence signals.
When the ratio falls between zero point eight and one point two, the market is in relative equilibrium. Traders should wait for the ratio to break out of this neutral range, watch for exceptional tier events that might signal a shift, or wait for divergence to develop.
Regarding model predictions, when accuracy exceeds fifty-eight percent and sign agreement exceeds fifty-five percent, there is a strong predictive relationship. CVD analysis provides genuine edge for this instrument. When accuracy falls between fifty-four and fifty-eight percent or sign agreement falls between fifty-two and fifty-five percent, there is moderate edge. Use signals for confirmation but not as standalone entry triggers. When both metrics fall below their respective thresholds, the relationship is weak or random. Traders should reconsider whether CVD analysis adds value for this particular instrument.
Best Practices
Allow adequate training time before relying on model predictions. The prediction model requires substantial data to train effectively. Ensure at least five hundred clusters have accumulated before trusting model outputs. The indicator displays training sample count for verification.
Always validate model quality before trading based on predictions. A fifty-two percent accuracy is statistically indistinguishable from random chance. Ensure your edge is real by checking all validation metrics.
Context matters tremendously in interpretation. Absorption during an established uptrend suggests continuation strength. Absorption during a downtrend suggests potential reversal. Always interpret signals within the broader market context rather than in isolation.
Combine this indicator with price action analysis. The CVD analysis reveals hidden dynamics but should not be used alone. Combine with support and resistance levels, trend structure analysis, volume profile, and traditional technical patterns for comprehensive market assessment.
Monitor for regime changes over time. Market microstructure can change as participation patterns evolve. Regularly review bucket analysis to ensure the CVD-price relationship remains stable. Significant deterioration in predictive patterns may indicate changing market conditions requiring parameter recalibration.
Value to the Trading Community
This indicator democratizes institutional-grade analysis. Historically, this level of order flow analysis required expensive specialized platforms that cost hundreds or thousands of dollars monthly. By implementing these concepts within TradingView Pine Script, this tool makes professional analysis accessible to all traders regardless of budget.
The indicator serves as an educational framework. Beyond practical trading applications, the visible statistics help traders understand the CVD-price relationship. Bucket analysis teaches probabilistic thinking. Model coefficients reveal which factors matter most. Validation metrics prevent overconfidence in unreliable signals.
The customization depth accommodates diverse trading styles. With over thirty configurable parameters, the indicator adapts to virtually any approach from rapid scalping to patient swing trading.
The transparent methodology builds trust. Unlike black-box commercial solutions where algorithms remain hidden, every calculation is visible in the source code. Traders can verify the logic, understand the assumptions, and modify the approach to suit their specific needs.
Conclusion
The CVD Absorption and Distribution Pro v3 represents a significant advancement in accessible order flow analysis for retail traders. By combining time-tested CVD concepts with modern statistical validation and machine learning techniques, it provides a comprehensive toolkit for understanding the hidden dynamics driving price action.
Its value lies not merely in generating trading signals but in providing the framework to understand why those signals occur and whether they are statistically meaningful for the specific instrument being traded. This combination of actionable intelligence and educational transparency makes it an invaluable addition to any serious trader analytical arsenal.
The indicator rewards those who invest time in understanding its methodology, optimizing its parameters for their specific trading style, and validating its signals against their own market experience. Used thoughtfully, it reveals the institutional footprints that remain invisible on conventional charts. The absorption, distribution, and hidden liquidity patterns it detects often presage significant market movements, giving attentive traders the opportunity to position themselves alongside smart money rather than against it.
Fair Value Gap [CT TRADERS]What does a Fair Value Gap do?
👉 It marks areas where price moved too fast, creating an imbalance between buyers and sellers.
This usually happens when institutional money enters the market aggressively.
Why is it important?
Because the market tends to revisit these areas to “rebalance” or fill the gap.
When price returns to an FVG, one of these usually happens:
🔼 Bounce (continuation of the move)
🔽 Rejection (price reversal)
Types of Fair Value Gaps
🔹 Bullish FVG
Created during a strong upward move
Acts as a support zone
Price often returns to it before continuing higher
🔹 Bearish FVG
Created during a strong downward move
Acts as a resistance zone
Price often returns to it before continuing lower
How traders use FVGs
✔️ Identify key price zones
✔️ Improve entry precision
✔️ Avoid chasing price
✔️ Understand institutional market behavior
COT Net Positions -TFF, LEGACY, DISAGGREGATED ReportsShow Net Positions, Long, Short for the CoT Reports
Trader Guy WMThis is my very own unique code that allows users to place text at the top of their charts.
example something like your name, a quote or something you want to remember before entering a trade. Be creative. Enjoy.
Day of Week MarkersDay of Week Markers Indicator
Overview
This Pine Script (v6) indicator visually identifies specific days of the week on your chart using colored circle markers. It is designed to help traders quickly recognize the start of a new trading session or keep track of the day of the week based on traditional Thai color schemes.
Main Features:
Traditional Color Coding: Automatically assigns colors to markers based on the day:
- Monday: Yellow
- Tuesday: Pink
- Wednesday: Green
- Thursday: Orange/Amber
- Friday: Blue
Smart Timeframe Logic:
- Intraday Charts: Automatically shows the marker only on the first bar of the day to keep your chart clean.
- Daily/Higher Charts: Shows the marker on every bar corresponding to the selected day.
Customizable Visibility: Easily toggle the visibility of each individual day (Mon-Fri) through the indicator settings.
Flexible Appearance:
- Location: Choose to display markers Above Bar, Below Bar, or On Bar.
- Size: Adjustable marker sizes from Tiny to Large.
Settings:
Day Visibility: Checkboxes to enable or disable markers for specific days.
Marker Location: Dropdown to select where the circle appears relative to the price candle.
Marker Size: Dropdown to adjust the visual scale of the circles.
Regime-Filtered Overbought/Oversold V1 (Ariston)《Regime-Filtered Overbought/Oversold V1（Ariston）》是一个overlay主图型的“状态识别”工具，用超买超卖阈值去捕捉极端动量区间，同时用Regime Filter把同样的超买/超卖拆分成“趋势延伸”与“震荡反转”两类完全不同的交易语境，并将结论直接投射到价格图上。
“Regime-Filtered Overbought/Oversold V1 (Ariston)” is an on-chart overlay state-identification tool. It uses overbought/oversold thresholds to capture extreme momentum conditions, and applies a regime filter to split the same OB/OS readings into two very different trading contexts—trend extension versus range reversal—then projects the result directly onto the price chart.
指标的第一层是 Stochastic 计算，它不是一个频繁给出提示的 oscillators，而是更偏“极端状态报警器”：当一致性进入极端区间，才进入可执行的观察窗口。
Layer one is the Stochastic calculation. It is not designed to fire frequent oscillator prompts; it functions more like an “extreme-state alarm.” Only when the signal aligns and enters an extreme zone does it open an actionable observation window.
第二层是 Regime Filter：这个过滤器的意义在于同一个“超买”在趋势中常常代表“强势延伸的顺势机会”，在震荡中更接近“均值回归的反向机会”，两者不应被同一种颜色、同一种心理预期去处理。
Layer two is the Regime Filter. Its purpose is to reframe the same “overbought” reading: in trends it often represents a continuation-friendly extension opportunity, while in ranges it is closer to a mean-reversion fade setup. These two contexts should not be handled with the same color coding or the same mental model.
你也可以关闭 useRegime，此时指标退化为“震荡风格”的展示（超买=黄，超卖=蓝），保持简单。
You can also disable useRegime, in which case the indicator falls back to a simplified range-style display (Overbought = Yellow, Oversold = Blue).
可视化层面，该指标把状态映射成四种主图背景色（可调透明度）：趋势背景下的超买显示红色（Trend+OB=Red），趋势背景下的超卖显示绿色（Trend+OS=Green）；震荡背景下的超买显示黄色（Range+OB=Yellow），震荡背景下的超卖显示蓝色（Range+OS=Blue）。
Visually, the indicator maps states into four on-chart background colors (with adjustable transparency): Trend+OB is Red, Trend+OS is Green; Range+OB is Yellow, Range+OS is Blue.
这四种颜色本质上是在告诉你“同样是 OB/OS，当前更像 continuation 还是 mean-reversion”，从而在交易执行上自动切换思维框架。
These four colors are effectively telling you: “For the same OB/OS reading, does the current context look more like continuation or mean reversion?”—so you can switch execution mindset accordingly.
在“趋势且极端”的红/绿场景下，指标还会额外绘制分段趋势线（Segment Trendlines），用来给出更贴近价格的动态参考。红色状态（Trend+OB）会在K线下方生成一条红色上行分段线；绿色状态（Trend+OS）会在K线上方生成一条绿色下行分段线。
In “trend and extreme” red/green scenarios, the indicator additionally draws Segment Trendlines as a closer-to-price dynamic reference. In Red state (Trend+OB), it prints a red rising segment line below candles; in Green state (Trend+OS), it prints a green falling segment line above candles.
线条只在 useRegime=true 且趋势过滤达到趋势阈值时启用，且每一段状态结束后都会保留历史，不会回收删除，方便你回看过去的极端区间是如何展开与终结的。
These lines only activate when useRegime = true and the trend filter meets its threshold, and each segment is kept historically after the state ends (no cleanup/deletion), making it easy to review how prior extreme regimes evolved and resolved.
使用上，这个指标更适合作为“仓位管理与情境提示器”而不是机械开平仓信号机。
In practice, this indicator is better used as a “position management and context prompt” rather than a mechanical entry/exit signal engine.
参数方面，你主要会动三组：Stochastic 的 kLen/dLen/阈值决定“极端”的敏感度；ADX 长度与阈值决定趋势/震荡分界；背景透明度与 ATR 偏移决定视觉与线条贴合程度。
Parameter-wise, you will mainly adjust three blocks: Stochastic kLen/dLen/thresholds define extreme sensitivity; ADX length and threshold define the trend/range boundary; background transparency and ATR offset tune visual fit and line proximity.
若你希望信号更少更“干净”，通常提高 ADX 阈值或加大 kLen 会更有效；若你希望更快捕捉极端，降低 kLen 或降低 OB/OS 阈值即可，但要接受噪声上升。Debug 选项会在红/绿状态打点，用于检验状态触发是否符合预期。
If you want fewer, cleaner signals, raising the ADX threshold or increasing kLen tends to be effective. If you want faster extreme detection, reduce kLen or relax OB/OS thresholds—at the cost of more noise. The Debug option prints markers in red/green states to validate triggers against your expectations.
免责声明：该指标输出的是“条件状态与市场语境”，不保证对未来收益率有确定性预测价值；在低流动性品种、跳空频繁品种或极端新闻驱动阶段，Stochastic 与 ADX 的解释力可能下降，建议结合你自己的风险框架与执行规则使用。
Disclaimer: this indicator outputs conditional states and market context; it does not guarantee predictive edge or deterministic future returns. In low-liquidity markets, gap-prone instruments, or extreme news-driven regimes, the explanatory power of Stochastic and ADX may degrade. Use it alongside your own risk framework and execution rules.
BMM hybrid 2026 Auto Trading BMM 2026 – Hybrid Trading Strategy
BMM 2026 Hybrid Strategy is a precision-based TradingView strategy designed to adapt to different trading styles while maintaining high-probability trade entries. By combining trend direction, momentum confirmation, and market structure logic, the strategy delivers consistent results across multiple markets.
With a historical win rate exceeding 70% under optimal conditions, BMM 2026 focuses on quality over quantity, helping traders avoid overtrading and emotional decision-making.
🔹 Key Features
✅ Hybrid logic combining trend + momentum + confirmation
✅ Over 70% win rate when used with recommended settings
✅ Works on Forex, Indices, and Synthetic markets
✅ Clear Buy & Sell signals
✅ Built-in risk-to-reward structure
✅ Designed for both manual and automated execution
✅ Optimized for scalping, day trading, and swing trading
🔹 Choose the Best Timeframe for Your Trading Style
The BMM 2026 Hybrid Strategy allows you to select the timeframe that best matches your trading personality:
Scalpers: 1M – 5M
Fast entries, quick exits, high session accuracy
Day Traders: 15M – 30M
Balanced trades with strong intraday trends
Swing Traders: 1H – 4H
Fewer trades, higher conviction, larger targets
⚠️ For best results, align lower timeframes with the higher timeframe trend.
🔹 How It Works
The strategy identifies:
Primary trend direction
Momentum alignment
High-probability entry zones
Confirmation before execution
Trades are only triggered when multiple conditions agree, filtering out low-quality setups and improving overall accuracy.
🔹 Risk Management
Always risk 1–2% per trade
Follow the recommended timeframe & market combinations
Avoid trading during low-liquidity sessions
Best performance during London & New York sessions
🔹 Who This Strategy Is For
Traders seeking consistent, rule-based entries
Beginners who want clear signals
Advanced traders looking for a hybrid confirmation system
Traders planning to automate with alerts or APIs
⚠️ Disclaimer
Trading involves risk. Past performance does not guarantee future results. Always backtest and forward-test before trading live.
Standard Deviation Channel with SignalsStandard Deviation Channel with Signals
This Pine Script is a **Standard Deviation Channel (or Linear Regression Channel) indicator** designed for TradingView. It automatically draws a channel around price action based on statistical deviation from a central linear regression trendline.
Here is a breakdown of its key features:
* **Trend Identification:** It calculates a linear regression line (the "mean" price) over a user-defined length (default 128 bars) to show the current trend direction.
* **Volatility Bands:** It plots parallel upper and lower bands at specific standard deviations (e.g., ±1 and ±2 deviations) from the center line. These act as dynamic support and resistance levels.
* **Actionable Signals:** It generates **"BUY"** signals when the price crosses below the lower deviation band (suggesting the asset is oversold) and **"SELL"** signals when the price crosses above the upper deviation band (suggesting it is overbought). This logic is based on a Mean Reversion strategy.
* **Historical & Live Visualization:** Unlike standard versions that only show the channel for the *current* moment, this script plots the historical path of the bands so you can backtest visual signals, while also projecting the live channel forward for real-time analysis.
TTP Checklist By AwaisFxThis is a dynamic, multi-row trading checklist designed to help traders track key criteria and calculate a trade score directly on the chart. It combines customizable table rows, price-based automated checkboxes, and sweep detection logic for high-timeframe (HTF) blocks.
Automated rows
HTF OC - This will toggle true if you put the price of your original consolidation that you will be targetting
HTF POI - This will toggle true if price is within the POI range (High - low)
(xx)m Sweep - This will toggle true if price sweeps the prior xx cycle - *xx will be the value that is selected (10/30/90)
TOI - This will toggle true if price is within the Time of Interest
MACD+ Pro Structure (W-Bottom & M-Top)这是一个为您准备的 **MACD+ Pro Structure (V8.7)** 指标的详细中英双语简介。您可以将其保存为文档，或用于发布指标时的说明文案。
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# 📈 MACD+ Pro Structure V8.7 - User Guide & Principles
# 📈 MACD+ Pro 结构化战法 V8.7 - 用户指南与原理说明
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## 1. Introduction (简介)
**English:**
MACD+ Pro Structure is a comprehensive quantitative trading system designed for professional traders. It goes beyond the traditional MACD indicator by integrating **Price Action (Structure)**, **Momentum (Divergence)**, and **Volume Analysis**.
This indicator helps traders identify potential reversals through **Dual Divergence detection** and captures trend continuations or reversals via valid **W-Bottom/M-Top patterns**. It visualizes complex market logic into simple, actionable signals on your chart.
**中文:**
MACD+ Pro Structure 是一套专为专业交易者设计的综合量化交易系统。它超越了传统 MACD 指标的范畴，融合了**裸K形态（结构）**、**动能分析（背离）**以及**成交量分析**。
该指标通过**双重背离检测**帮助交易者识别潜在的反转点，并通过严格定义的**W底/M顶形态**捕捉趋势的突破或反转。它将复杂的市场逻辑转化为图表上简单、可执行的视觉信号。
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## 2. Core Principles (核心原理)
### A. Dual Divergence Engine (双重背离引擎)
* **English:**
* The indicator monitors two types of divergences simultaneously: **Histogram Divergence** (Momentum decay) and **MACD Line Divergence** (Price/Indicator conflict).
* **Logic:** It uses Pivot points to compare price highs/lows against MACD highs/lows.
* **Visual:** When *any* divergence is detected, the MACD line instantly **thickens and changes color** (Green for Bullish, Red for Bearish). This indicates an active "N-Pattern" state, suggesting a high-probability reversal window.
* **中文:**
* 指标同时监测两种类型的背离：**柱状图背离**（动能衰竭）和 **MACD 快线背离**（量价冲突）。
* **逻辑**：利用 Pivot（波峰波谷）算法对比价格高低点与 MACD 指标高低点。
* **视觉**：当检测到*任意*一种背离时，MACD 快线会立即**加粗并变色**（多头变绿，空头变红）。这标志着“N字状态”的激活，提示当前处于高胜率的反转窗口期。
### B. Structural Patterns: W-Bottom & M-Top (结构化形态)
* **English:**
* Instead of subjective guessing, the script uses arrays to store Pivot Lows/Highs to identify valid **Double Bottoms (W)** and **Double Tops (M)**.
* **Validation:** It checks for time intervals between legs, price differences (tolerance), and volume shrinkage on the second leg.
* **Trigger:** A signal is only generated when the price **breaks the Neckline** (dashed line).
* **中文:**
* 不同于主观猜测，脚本使用数组记录波峰波谷，以识别有效的**双底（W底）**和**双顶（M顶）**。
* **验证**：系统会检查左右脚的时间间隔、价格误差（容差率）以及右脚的缩量情况。
* **触发**：信号仅在价格实体有效**突破颈线**（虚线）时才会触发。
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## 3. Usage Guide (详细用法说明)
### Scenario 1: Reversal Trading (左侧反转交易)
**Signal:** MACD Line Color Change (Line Divergence)
* **English:**
1. Observe the MACD line.
2. **Bullish:** If price makes a lower low but the MACD line turns **Thick Green**, it indicates a Bottom Divergence. This is an entry signal for a potential reversal.
3. **Bearish:** If price makes a higher high but the MACD line turns **Thick Red**, it indicates a Top Divergence.
4. **Exit:** The line returns to a thin Blue line when the momentum fades or crosses the zero line.
* **中文:**
1. 观察 MACD 快线的状态。
2. **做多**：如果股价创新低，但 MACD 快线突然变成**加粗的绿色**，说明底背离确认。这是一个潜在的抄底信号。
3. **做空**：如果股价创新高，但 MACD 快线突然变成**加粗的红色**，说明顶背离确认。
4. **离场**：当动能衰竭或穿过零轴时，线条会恢复为细蓝色，提示反转动能结束。
### Scenario 2: Structural Breakout (右侧结构交易)
**Signal:** "W-Bottom" / "M-Top" Labels
* **English:**
1. Wait for the indicator to draw a **Dashed Neckline** (White for W, Red for M).
2. **Long Entry:** When the "W-Bottom" label appears and the candle closes above the white neckline. This confirms a structural breakout.
3. **Short Entry:** When the "M-Top" label appears and the candle closes below the red neckline.
* **中文:**
1. 等待指标自动绘制**虚线颈线**（W底为白色，M顶为红色）。
2. **做多进场**：当图表出现“W底”标签，且K线收盘价站上白色颈线时。这确认了结构的有效突破。
3. **做空进场**：当图表出现“M顶”标签，且K线收盘价跌破红色颈线时。
### Scenario 3: Auxiliary Signals (辅助信号)
* **English:**
* **Golden Needle (金针探底):** Long lower shadow with high volume + MACD below zero. Indicates panic selling and potential rebound.
* **Volume Breakout (放量突破):** Large bullish candle with high volume breaking the trend line. Indicates strong trend initiation.
* **中文:**
* **金针探底**: 长下影线配合巨量 + MACD 处于零轴下方。提示恐慌盘涌出，潜在的反弹机会。
* **放量突破**: 大阳线配合成交量放大，并突破长期趋势线。提示强趋势的启动。
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## 4. Key Parameters (关键参数说明)
* **MACD Settings**: Standard 12, 26, 9 (Adjustable).
* **Divergence Check (背离检测)**:
* You can toggle Histogram or Line divergence individually.
* *Pivot Sensitivity*: Controls how strict the pivot detection is (Default 2).
* **Pattern Settings (形态设置)**:
* *ATR Tolerance*: Allows for dynamic price difference between W/M legs based on volatility.
* *Volume Shrink*: Enforces volume analysis on the second leg of the pattern.
---
## ⚠️ Disclaimer (免责声明)
**English:** This indicator is for assistance and educational purposes only. Past performance does not guarantee future results. Please combine with your own risk management strategy.
**中文:** 本指标仅供辅助分析和学习使用。历史表现不代表未来结果。请务必结合您自己的风险管理策略进行交易。
Momentum Divergence V1 (Ariston)《Momentum Divergence V1》是一个动量背离预警指标，用于在“价格创新高/新低，但动量未能同步确认”时给出清晰、可报警的背离信号，帮助交易者更早识别趋势衰竭、潜在反转或回撤风险。指标显示在独立副图（overlay=false），适用于股票、指数、期货、外汇、加密资产等各类品种与周期。
Momentum Divergence V1 is a momentum divergence alert indicator that delivers clear, alert-ready divergence signals when price makes a new high/low but momentum fails to confirm, helping traders spot trend exhaustion and potential reversals or pullbacks earlier. It plots in a separate pane (overlay=false) and works across markets and timeframes, including stocks, indices, futures, FX, and crypto.
柱体颜色反映动量的短期变化方向：当本柱高于上一柱（动量走强）使用红色系；当本柱低于上一柱（动量走弱）使用绿色系，同时绘制零轴参考线以辅助识别多空动量区间与结构切换。
Histogram bar colors reflect short-term momentum changes: red when the current bar is higher than the previous bar (momentum strengthening), green when it is lower (momentum weakening), with a zero line plotted to help identify regime shifts and momentum structure changes.
背离逻辑采用“价格枢轴点（pivot）确认”机制，避免主观画线带来的不一致。
The divergence logic uses confirmed price pivots to avoid inconsistencies from subjective trendline drawing.
你可以通过参数 “Pivot strength (L/R)” 设置枢轴强度（左右各 pLen 根 K 线确认），指标会在价格形成并确认 pivot high / pivot low 后，取 pivot 当根的数值进行对比，从而判定背离是否成立：
You can set pivot strength via “Pivot strength (L/R)” (confirmation requires pLen bars on both left and right). Once a pivot high/low is formed and confirmed, the indicator samples the value at the pivot bar and compares it to the prior pivot to determine whether divergence is present:
1）看空背离（Bearish Divergence）：价格相对前一处已确认的 pivot high 形成更高的高点（HH），但动量在对应 pivot 处形成更低的高点（LH），提示上行动量衰减，后续回撤或反转风险上升。
1）Bearish Divergence: price prints a higher high (HH) versus the previous confirmed pivot high, while momentum prints a lower high (LH) at the corresponding pivot—signaling weakening upside momentum and higher risk of a pullback or reversal.
2）看多背离（Bullish Divergence）：价格相对前一处已确认的 pivot low 形成更低的低点（LL），但动量在对应 pivot 处形成更高的低点（HL），提示下行动量衰减，后续反弹或反转概率上升。
2) Bullish Divergence: price prints a lower low (LL) versus the previous confirmed pivot low, while momentum prints a higher low (HL) at the corresponding pivot—signaling weakening downside momentum and increased odds of a rebound or reversal.
背离信号以 “DIV” 三角形标注在 pivot 发生的那根 K 线上。
Divergence signals are marked with a “DIV” triangle on the pivot bar.
使用建议：背离本质是“动量-价格结构不一致”的早期预警，不等同于立即反转。
Usage note: divergence is an early warning of a momentum–price mismatch, not an immediate reversal signal.
更稳健的做法是将其作为风险管理与择时过滤器：在趋势末端配合关键支撑阻力、均线结构、形态突破/跌破或量能变化做二次确认；在强趋势中出现背离时，更适合用于收缩仓位、上移止损、降低追价，而不是单独作为反向开仓依据。
A more robust approach is to use it as a risk-management and timing filter: confirm with key support/resistance, moving-average structure, pattern breaks, or volume changes near trend extremes; in strong trends, divergence is often better used to reduce exposure, trail stops, and avoid chasing rather than as a standalone counter-trend entry trigger.
免责声明：本指标仅提供技术信号与提醒，不构成任何投资建议。
Disclaimer: This indicator provides technical signals and alerts only and does not constitute investment advice.
Sequential Triple MA Signal System (RVWAP + Clean Signals)9/21 + RVWAP Crossovers
This is meant to scalp on the m5 timeframe, I didn't test it for others.
Every time we get a close above/below 9/21EMA + RVWAP, we enter a long/short.
The arrows reset with an anti-spam regime so it doesn't crowd too much on consolidations, however it is not perfect, as too strict measures would block reversal candles.
Our goal is to capture big moves on the m5 and trail them with a stop. This method offers very tight entries with stops below the entry candle or the prev. candles wick.
I've backtested this logic on 6 months of data and it was profitable, depending on fees/spread you can get at your broker.
This is just the pine version of it that I made with GPT, I use an algo to trade this automatically for me.
Other Notes:
- This works best in a trending context - know your HTF context
- The longer the consolidations, the clearer the breakouts/breakdowns
- Liquidity sweeps before crossovers work well
- The higher the Distance from price to 9/21 ema during the crossover, the more likely a trend-breakout is to ensure
Never trade stuff without testing before, discover behavioural patterns and you'll see a fine strategy with potential for profits.
The net R for every trade in my backtest was .6R after fees.
Omega Stock Evaluation [OmegaTools]Omega Stock Evaluation is a comprehensive, institutional-grade equity analysis framework designed to synthesize fundamental valuation, technical context, relative performance, risk metrics, volume behavior, and analyst sentiment into a single decision-support system. It is not a “signal generator” in the traditional sense: it is a multi-dimensional evaluation engine built to answer one question—how a stock is positioned in terms of value, trend, risk, and market behavior.
Purpose
This script is designed to provide structured, repeatable stock evaluation for investors and analysts who want more than isolated indicators. It consolidates multiple independent valuation models, long-horizon technical equilibrium measures, market-relative valuation (multiple normalization), risk diagnostics, and behavioral proxies into a single output that can be monitored over time.
What the indicator delivers
• A blended Fair Price derived from fundamentals, market multiples, and technical equilibrium
• A volatility-normalized Oscillator that expresses discount/premium positioning vs fair value
• A multi-factor Rating (Strong Sell → Strong Buy) designed for strategic positioning
• A real-time Dashboard with: Rating, VaR, Beta, Trend, Location, Fundamental status, Performance status, Institutional bias, and Analysts consensus
• Optional overlays: Fundamental fair value, Technical fair value, PE-adjusted fair value, individual fundamental models, and analyst target price bands
Data and robustness logic
The script uses TradingView Financial datasets and includes normalization / cleaning steps to keep metrics realistic across different sources and reporting formats. Percent-like fields are automatically converted when needed, missing values are handled gracefully, and extreme or unstable multiples (e.g., implausible EV/Sales or EV/EBITDA) are filtered out.
Risk-adjusted discount rate and growth constraints
A core design choice is to avoid “fantasy valuations.” The script defines a bounded required return r , adjusted by credit/financial risk using the Altman Z-Score when available. Growth assumptions are also bounded and constrained so that terminal growth remains below the discount rate, preventing mathematically explosive valuations and improving stability across sectors.
Fundamental valuation engine (multi-model)
The indicator computes up to seven independent fair value estimates, each based on a distinct valuation philosophy. These estimates are then aggregated into a robust fundamental fair price using filtering and averaging logic to reduce outlier impact.
Fundamental models included
M1 – Discounted Cash Flow (FCF)
Projects Free Cash Flow for a fixed horizon and discounts it using the required return, then converts enterprise value to equity value by adjusting for net debt and shares outstanding.
M2 – Peter Lynch / PEG-style implied price
Derives an implied target P/E from growth and dividend yield (bounded), then estimates fair price as EPS(TTM) × target P/E.
M3 – Economic Value Added (EVA)
Estimates firm value as invested capital plus the present value of EVA streams, where EVA is NOPAT minus the capital charge (r × invested capital).
M4 – EV/Sales normalized valuation
Uses the historical median EV/Sales multiple as a target and values the company using TTM revenue, adjusted to equity value.
M5 – Residual Income valuation (ROE fade)
Builds a residual income model where ROE advantage fades toward the required return over the horizon, adding the present value of residual income to book value.
M6 – EV/EBITDA normalized valuation
Uses the historical median EV/EBITDA multiple as a target and values the company using TTM EBITDA, adjusted to equity value.
M7 – Justified P/B (closed-form residual income)
Computes a justified price-to-book estimate from ROE, growth, and required return and derives a fair price from BVPS.
Fundamental fair price aggregation
Only valid, positive model outputs are used. The script sorts the valuation set, discards extreme tails when enough models are available, and computes a robust average to produce a stable Fundamental Fair Price suitable for continuous monitoring.
Technical fair value
To avoid relying solely on accounting-driven valuations, the script computes a Technical Fair Price from long-horizon market structure: it blends the 252-day high/low range with a long-term VWMA equilibrium. This acts as a market-derived anchor representing where price tends to revert across cycles.
Market multiple normalization (PE-adjusted valuation)
The script calculates a PE-Adjusted Fair Price by comparing the stock’s current P/E (from EPS TTM) to the S&P 500 average P/E series. This provides an immediate market-relative valuation signal: “what would this stock’s price be if it traded at the index multiple?”
Blended fair price
The final Fair Price is a composite average of:
• Fundamental fair price (multi-model)
• PE-adjusted fair price (market-relative)
• Technical fair price (market equilibrium)
This blend reduces single-model bias and improves usability across sectors and regimes.
Oscillator and location logic
Deviation from fair price is normalized by long-horizon volatility (standard deviation), producing a valuation oscillator that expresses where price sits relative to fair value in standardized units. The script defines three regimes:
• Discount (deep undervaluation vs fair price)
• Neutral
• Premium (overvaluation vs fair price)
Color gradients adapt dynamically to the oscillator level for fast visual interpretation.
Trend health and structural direction
Instead of using only price moving averages, trend is assessed using the slope of fair value itself (a structural measure). Rising fair price implies improving fundamentals/conditions; declining fair price implies deterioration. This supports a more “business-like” view of trend.
Performance and institutional behavior
Performance is evaluated relative to the PE-adjusted reference using ATR-scaled thresholds, classifying the stock as underperforming/overperforming vs market-normalized expectations.
Institutional activity is approximated using statistically significant volume expansions and short-term price direction during those expansions, producing a Buying / Selling / Neutral institutional bias proxy.
Composite rating system
The indicator converts multiple components into a unified Rating score: trend, valuation location, fundamental mispricing, relative performance, institutional bias, long-term MA regime, and RSI extremes. The rating is scaled by a volume factor so that high-conviction volume environments receive greater weight.
Final categories are mapped as: Strong Sell , Sell , Hold , Buy , Strong Buy , displayed both numerically and textually.
Risk metrics: VaR and Beta
The dashboard includes:
• Historical VaR (percentile-based on daily log returns) for downside risk awareness
• Beta computed from relative volatility and correlation vs SPY across a long window
These metrics provide critical context for comparing opportunities across different risk profiles.
Analyst consensus
Sell-side recommendations are aggregated into:
• A dominant consensus label (Strong Buy → Strong Sell)
• A weighted average recommendation score (%)
This allows you to identify alignment or divergence between market valuation, price behavior, and analyst positioning.
Visual options and overlays
The indicator is designed to be clean, modular, and presentation-ready. You can choose to display:
• Blended Fair Price
• Technical, Fundamental, and PE-Adjusted fair prices
• All individual fundamental model lines (M1–M7)
• Analyst target price bands (High/Low/Average), plotted forward from the official target price date
A compact, professional table summarizes the entire evaluation in one glance.
Recommended workflow
This tool is best used for:
• Long-term screening and rotation
• Valuation + trend confluence analysis
• Portfolio construction and risk-aware allocation
• Identifying discounted stocks with improving structure (or expensive stocks with weakening structure)
It is not intended as a standalone entry/exit trigger for short-term trading.
Disclaimer
Omega Stock Evaluation is an analytical tool and does not constitute financial advice. Financial datasets may vary in availability and update timing across tickers and exchanges. Always validate with primary sources before making investment decisions.
Omega Stock Evaluation does not try to predict. It tries to quantify context—value, trend, risk, and behavior—in one coherent system.
TradingIndicator Academy TIA - Pro Scalping System
Beschrijving:
Deze indicator is een geavanceerde scalping tool, specifiek ontwikkeld voor geautomatiseerde Bybit futures trading. De strategie is ontworpen om snelle prijs-reversals ("wicks") te vangen die buiten de standaard deviatie van de VWMA (Volume Weighted Moving Average) vallen.
Het script combineert visuele analyse met volledige webhook-automatisering, waardoor handmatige fouten worden geëlimineerd en trades direct via JSON-commando's worden uitgevoerd.
🚀 Belangrijkste Kenmerken:
⚡ Wick Entry Strategie: Signalen worden gegenereerd wanneer de prijs (High/Low) agressief door de VWMA bands breekt. Dit duidt vaak op liquidaties of overreacties van de markt, gevolgd door een snelle correctie.
🤖 Volledige Automatisering: Ingebouwde, kant-en-klare JSON-alerts voor trading bots. Het script genereert automatisch payloads met side, size, leverage, en unieke UUIDs voor foutloze executie.
👁️ Smart Visuals:
Dynamische TP/SL Boxen: Zodra een positie opent, toont de chart direct de Take Profit (groen) en Stop Loss (rood) zones. Deze boxen updaten real-time mee met de candle, zodat je altijd ziet waar je staat.
Live Dashboard: Een tabel rechtsboven toont de actuele status van de bot, entry prijs, en targets.
🛡️ Risk Management: Ingebouwde (instelbare) logic voor Stoploss (standaard 2.5%) en Takeprofit (0.75%), visueel weergegeven om direct je Risk/Reward te beoordelen.
🛠️ Hoe te gebruiken:
Voeg de indicator toe aan een 1m of 5m chart (bijv. crypto perpetuals).
Vul in de instellingen je Bot / Alert UUIDs in (voor correcte order tracking).
Maak een TradingView Alert aan:
Condition: TIA - Pro Scalping System
Trigger: Any alert() function call
Webhook: De URL van je trading bot of webhook provider.
Zet Min Liq Size op 0 voor alle signalen, of hoger om alleen trades met hoog volume te pakken.
⚠️ Disclaimer:
Trading met leverage brengt risico's met zich mee. Deze tool is bedoeld ter ondersteuning van een geautomatiseerde strategie. Test resultaten altijd eerst met minimale size of in een demo-omgeving.
