MRP_DAILY_LEVELIntraday Indicator: #MRP_DAILY_LEVEL
This indicator plots support and resistance levels based on fibonnaci levels.
1. Understanding The Levels:
Intermediate Zone is two brown coloured lines.
Resistance is two red coloured lines.
Support is two green coloured lines.
Buy target and Sell Target are white coloured lines on both sides.
-Price is strong when it is above the Intermediate Zone.
-Price is weak when it is below the Intermediate Zone.
-Price remains range bound when it stays inside the Intermediate Zone.
-Price is very strong when it's above Resistance Zone
-Price is very weak when it's below Support Zone
-Buy Target & Sell Target are the zones where you should take or trail your profit.
2.For Buying/Selling:
-Buy only when 15min close above Resistance Zone. SL below Resistance Zone.
-If 15min close is in huge range, you can buy/sell after pullback to Resistance/Support Zone.
-Also you can buy/sell if 15min close is above/below Buy/Sell target zone if you missed the rally.
-Sell only when the 15min close below Support Zone. SL above Support Zone.
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FlipSignalsFlipSignals is a TradingView indicator designed to help you make smarter, more efficient trading decisions by simplifying your trading. Specific symbols show up directly on price action to help you easily visualize trade setups and interpret market movement. The framework behind FlipSignals is systematic yet simple: First, establish a dominant trend with the Trend Level. Then, identify optimal entry points. With a complete understanding of FlipSignals you'll be able to confidently interpret and navigate any market with strong conviction.
Trend Level
The Trend Level is the step line that runs through price action and establishes a dominant directional trend, either green or red. When the Trend Level is green, buyers are in control and price action is bullish - suggesting buying pressure and higher prices. Conversely, when the Trend Level is red, sellers are in control and price action is bearish - suggesting selling pressure and lower prices.
During an uptrend, price action will trade above the Trend Level and use the Trend Level as support. Conversely in a downtrend, price action will trade below the Trend Level, which will act as resistance. When the Trend Level flat lines and flips from one color to another, this signals that price action is resting and could potentially indicate that the trend is shifting or consolidating for a continuation move.
The Trend Level can also be used as a trail stop level when you are in a position. For example, if you are long when the Trend Level is green and stair stepping higher, you can incrementally place your stop right below the Trend Level as price action increases in order to protect your unrealized profit.
Momentum Shifts - ShiftUp / ShiftDown
Small blue and orange triangles indicate short term momentum shifts in price action. When momentum shifts upwards, a small blue up triangle will appear below the candle and when momentum shifts downwards, a small orange, down triangle will appear above the candle.
ShiftUp and ShiftDown signals generally confirm short term tops/bottoms although consecutive momentum shifts within a short period of candles can indicate consolidation and stalled price action.
Buy/Sell XOB/XOS Levels
FlipSignals’ algorithm calculates a sentiment score that measures the net buying and selling in any given market. This score oscillates above and below zero identifying extended buying and selling pressure. A positive score indicates that buyers are in control whereas a negative score signals that sellers are in control.
FlipSignals generates buy and sell level Dot Clusters and Extreme Overbought/Oversold (XOB/XOS) symbols based on the sentiment score to easily visualize overextended buying or selling directly on price action candles.
Dot Clusters - Buy/Sell Levels
FlipSignals allows users to set 3 buy and 3 sell levels to determine when dot clusters will appear. Dot clusters will appear when sentiment score breaches each level.
Buy level dot clusters will appear below candles indicated by yellow and green circles, while sell level dot clusters will appear as yellow and red circles above candles.
Generally, dot clusters indicate that price action is extended one way or the other. Notice that buy dot clusters appear below the Trend Level while sell dot clusters appear above the Trend Level for the majority of the time.
Extreme Overbought/Oversold Signal
Extreme Overbought (XOB) signals will appear as neon green X's above the candle indicating price action has entered extreme overbought levels. Typically, XOB signals serve as a warning that prices could continue higher.
Extreme Oversold (XOS) signals will appear as red X's below the candle indicating price action has entered extreme oversold levels. Typically, XOS signals serve as a warning that prices could continue lower.
Generally, sentiment scores of +/-4 are considered extreme readings although this can vary by asset. User defined inputs of buy/sell and XOB/XOS levels determine when signals will appear.
Additional Support/Resistance Indicators Include:
VWAP
3 EMAs
3 SMAs
Weekly Pivot Points
Monthly Pivot Points
Quarterly Pivot Points
Previous Day OHLC
Please use the link below to our website to obtain access to this indicator.
Jackrabbit.modulus.TrailingThis is a full, true, and pure implementation of trailing buy/sell for the Jackrabbit suite and modulus framework.
This module is not a standalone and relies on previous modules to send a signal data in order to function properly. This module acts on buy and sell data from within the indicator on indicator framework that TradingView supports.
This module adds the ability to trail a buying position to its lowest value or if it breaks a retracement percentage (user defined). It also allows trailing a sell position with an user defined retracement. It can managing buy and selling or just buying or selling.
This module does NOT allow accumulation during the trailing process. If a buy signal is received while the module is already trailing a previous position, if the price is lower then the previous position, the current position is used, otherwise it is ignored. The same holds true for selling. Once the position is bought, accumulation will resume as normal for the next position.
The chart displays (for both buying and selling):
The current price, its retracement value, and the original price.
Note that the buy or sell does NOT actually take place until the price action crosses retracement.
The Jackrabbit modulus framework is a plug in play paradigm built to operate through TradingView's indicator on indicatior (IoI) functionality. As such, this script receives a signal line from the previous script in the IoI chain, and evaluates the buy/sell signals appropriate to the current analysis.
This script is by invitation only. To learn more about accessing this script, please see my signature or send me a PM. Thank you.
Cumulative Delta (Zeiierman)█ Overview
Cumulative Delta (Zeiierman) transforms raw volume and price data into a continuous buying and selling pressure narrative. Instead of treating volume as a static total, it accumulates the net delta (buying vs. selling activity) bar by bar, revealing whether real demand is supporting or contradicting price movement. This tool bridges microstructure-based order flow concepts with high-level market trend modeling, offering a refined look beneath traditional candles.
The indicator visualizes cumulative trade imbalance over time, layering it with adaptive confirmation lines, impulse recognition, and trend filtration. The result is a refined map of volume–price interaction that identifies hidden strength, fading momentum, or early accumulation before visible reversals occur.
This tool is designed for multi-context use — intraday scalping, swing confirmations, or structural bias analysis — offering a precise view of participation flow beneath price behavior.
⚪ Why This One Is Unique
Unlike conventional delta indicators, this version incorporates adaptive smoothing, multi-source delta modeling, and contextual confirmation layers that dynamically adjust based on both volume and price displacement. Its framework is powered by a volume re-normalization algorithm, combined with multi-dimensional weighted mapping between price flow, volume imbalance, and trend inertia.
█ Main feature: Cumulative Delta Candle
The Cumulative Delta Candles visualize how each bar’s internal buying vs. selling pressure builds over time. They represent volume-weighted displacement vectors of market aggression — when buyers dominate, the delta accumulates upward; when sellers dominate, the cumulative curve decays. Signal and confirmation overlays transform this raw delta motion into a structured view of market conviction, helping traders identify early inflows, exhaustion points, or continuation pressure.
█ How to Use
⚪ Trend Following
The Cumulative Delta is an effective tool for identifying who controls the market trend. When delta candles remain above the midline, buyers are in control. Conversely, when delta candles stay below the midline, sellers dominate.
Strong trends are identified when delta candles consistently cluster near the upper or lower levels, indicating sustained directional pressure in that trend’s favor.
⚪ Fading Momentum
The delta can also be used to detect waning momentum. If delta candles are above the midline but turn red with a declining slope, it signals that the current bullish move is losing strength.
If delta candles are below the midline but turn green with an upward slope, it suggests that bearish momentum is weakening.
⚪ Pullback Trading
To identify pullbacks, combine the overall trend of the Cumulative Delta candles with the Signal Line. Set the Signal Line length to 2 to create a fast-reacting delta line suitable for pullback detection.
Bullish Pullback
When the Cumulative Delta remains above the midline or near the upper level, and the Signal Line briefly dips below the midline or touches the lower level before sharply reversing upward, it signals a bullish pullback within an ongoing uptrend — a potential buy opportunity.
Bearish Pullback
When the Cumulative Delta stays below the midline or near the lower level, and the Signal Line briefly rises above the midline or touches the upper level before sharply turning downward, it indicates a bearish pullback within a downtrend — a potential sell opportunity.
⚪ Momentum Trading
Impulse Dots highlight sudden bursts of momentum in either direction.
When they appear around key breakout levels, they may signal the start of a strong move or breakout. However, if impulses appear after an extended trend, they often indicate potential exhaustion or reversal.
Always evaluate impulse signals within the broader market context to confirm their validity.
⚪ Up-Tick and Down-Tick Signals
The Up-Tick Signal confirms a possible shift or strengthening in bullish order flow. It frequently appears near local swing lows, suggesting increased buying pressure.
The Down-Tick Signal confirms potential bearish order flow. It often forms around local swing highs, signaling growing selling pressure.
⚪ Volume Signals
Volume Signals are derived from delta activity to help traders identify volume-based trend entries. They occur only in confirmed trends and serve as trend continuation triggers.
Bullish Volume Signal: When triggered, enter at candle close and use the built-in trailing stop to manage risk. Exit the trade when the Signal Line crosses below the midline again.
Bearish Volume Signal: When triggered, enter at candle close and use the trailing stop to follow the move downward. Exit the trade when the Signal Line crosses above the midline again.
█ How It Works
⚪ Delta Accumulation
Each candle’s internal buy/sell pressure is estimated using a price–volume ratio model. The resulting delta is accumulated over time to form the Cumulative Delta Curve, showing whether buyers or sellers are in sustained control. Users can select Estimated, Volume Data, or Enhanced modes to align the delta calculation with their preferred market source.
Calculation: Applies Cumulative Delta Integration — a continuous summation of signed volume over time with conditional price weighting. This produces a running measure of net buying or selling activity that evolves dynamically with market flow.
⚪ Signal & Confirmation Lines
The Signal Line reacts faster, acting as a short-term direction probe. The Confirmation Line lags slightly, validating the persistence of the delta trend. Crossovers between these lines frequently precede structural price rotations.
Calculation: Implements Multi-Phase Weighted Moving Functions, layering WMA/EMA structures to control smoothness and minimize phase lag between the fast and slow components.
⚪ Impulse & Momentum Bursts
The Impulse Engine detects statistically significant bursts in delta energy — high-magnitude expansions that often precede breakouts or reversals.
Each impulse is colored according to directional bias, helping visualize moments of strong conviction or exhaustion.
Calculation: Uses Impulse Response Functions, nonlinear filters that measure delta acceleration (Δ²δ/Δt²) to isolate momentum shifts and highlight transient bursts in order flow intensity.
⚪ Trend Layer & Filter
A built-in trend filtration algorithm ensures that bullish and bearish signals only appear when aligned with the dominant trend. The Trend Tolerance setting controls how much short-term noise the filter allows before declaring a trend change — effectively balancing agility vs. stability.
Calculation: Applies Trend Vector Regression, estimating directional slope and deviation using log-based least squares modeling to extract the dominant directional vector from noisy flow data.
⚪ VWAP–EMD Trend Core
The main trend estimation engine fuses Volume-Weighted Average Price (VWAP) logic with an Empirical Mode Decomposition (EMD) smoother, creating a non-linear, adaptive response curve. This enhances directional clarity while preserving microstructural sensitivity to shifts in flow balance.
Calculation: Constructs a VWAP–EMD Composite Curve, merging volumetric centroids with intrinsic mode decomposition for adaptive mean tracking and dynamic equilibrium modeling.
⚪ Trailing Stop & Risk Structure
Once a volume-based entry signal appears, a dynamic trailing stop is automatically drawn. It adapts to volatility and follows price movement, helping visualize optimal exit zones, stop hits, and locked profit regions.
█ Any Alert Function Call
The Any Alert Function Call system transforms the indicator into a programmable alert engine:
Combine multiple triggers (Crossover, Trend Flip, Impulse, Tick, TSL Hit, Volume Signal).
Detect slope, midline, or same-direction confirmations.
Customize messages with placeholders like {{ticker}}, {{close}}, {{volume}}, and {{time}}.
Build complex conditional alerts — such as Bull Volume Signal → TSL Hit — without editing the code.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Skrip berbayar
Smart Money Concepts [Kodexius]Smart Money Concepts is a price action framework designed to integrate market structure, liquidity behavior, and inefficiencies into a single, readable view. Rather than acting as a signal generator, it serves as a live market map highlighting where price has displaced, where liquidity may be resting, which zones remain valid, and how that context updates as new candles print.
What separates this script from typical “SMC bundles” is not the presence of familiar concepts like swings, order blocks, FVGs or liquidity sweeps. The value is in the engine design and how the components are maintained together as a consistent state, with automatic pruning and prioritization so the chart stays usable over time. Many tools can draw boxes, but fewer tools manage the lifecycle of those zones, reduce overlap, rank relevance, and keep the display focused on what still matters near current price.
At the core is a structure model that tracks directional state and labels structural transitions as they happen. CHoCH and BoS are not just printed whenever price crosses a line. Each event is anchored to a swing reference and handled in a way that reduces repeated triggers from the same context, helping you see genuine transitions versus minor noise. This gives structure a “narrative” across time instead of a cluttered sequence of identical labels.
Order blocks are built from the most relevant candle within the post break window and displayed as true zones that extend forward while they remain valid. Beyond the zone itself, the script adds context that is usually missing in basic OB implementations: a volumetric pressure visualization and a displacement strength score that is normalized and ranked over a rolling window. In practice, this creates an information hierarchy. You can quickly see which zones carried more participation, whether the internal push was dominated by buying or selling pressure, and whether the move that created the zone had meaningful displacement relative to recent history. This is designed to help prioritization, not to claim prediction.
Imbalances are handled as a dedicated module with multiple detection modes (FVG, VI, OG, IFVG) and optional MTF logic so you can map inefficiencies from a higher timeframe while executing on a lower timeframe. Each imbalance is displayed as a zone with a midline reference, and mitigation behavior can be tuned (wick or close). IFVG adds lifecycle depth by tracking inversion behavior rather than simply deleting the zone, which can be useful for monitoring how price rebalances and flips inefficiencies over time. An optional sentiment style internal fill is available for visual context, but it is intentionally framed as informational rather than a “buy/sell meter.”
Liquidity is treated as an event driven layer. Pivot highs and lows are tracked as potential liquidity pools, then monitored for sweeps and rejection behavior. If you enable EQH/EQL logic, the script can label equal highs and lows during the sweep process to highlight common resting liquidity formations. A volume filter is available to reduce low quality levels, aiming to keep the liquidity map focused on swings that occurred with meaningful participation rather than every small fluctuation.
Swing Failure Patterns (SFP) are included as a separate confirmation style tool that focuses on rejection after liquidity is taken. The module supports optional volume validation using lower timeframe volume distribution outside the swing level, which helps filter some low quality SFPs on noisy instruments. The output is a cleaner set of events intended to complement structure, liquidity and zones, not replace discretionary decision making.
For higher timeframe context, the HTF candle projection panel can display a compact set of higher timeframe candles to the right of current price, with classic or Heikin Ashi style and configurable sizing, spacing and labels. This allows you to maintain HTF awareness without switching charts, which is especially helpful when structure and zones are being interpreted across multiple timeframes.
Finally, the alert framework is designed around well defined structural and zone states. Alerts cover structural shifts (CHoCH, BoS), liquidity sweeps, new and broken order blocks, breaker behavior (if enabled), new and approached imbalances, premium and discount entries, trendline events, and SFP detection. These alerts are intended as monitoring prompts so you can review context, not as automated trade execution signals.
Every major component is modular and configurable. You can run a minimal structure only layout or enable a full framework with zones, imbalances, liquidity, SFP and HTF projection. The guiding principle is chart clarity and relevance: keep the most important information visible, reduce overlap and stale objects, and maintain a consistent view of how price is interacting with liquidity and value over time.
🔹 Features
🔸 Market Structure Engine (CHoCH and BoS)
This script automatically tracks zigzag based market structure and differentiates between:
CHoCH (Change of Character) : the first meaningful structural shift that suggests the prior directional leg is weakening.
BoS (Break of Structure) : continuation breaks that confirm structure extension in the active direction.
Instead of relying on plain pivot dots, our market structure swings are built with a lightweight zigzag style engine that tracks direction and “locks in” the true leg extreme only when the leg flips. This produces cleaner, more consistent swing highs/lows for BOS/CHoCH than simple left/right pivot checks.
Bullish CHoCH:
Bearish CHoCH:
Bullish BoS:
Bearish BoS:
🔸 Order Blocks with Volumetric and Displacement Insight
The script identifies recent bullish and bearish order block zones around meaningful structural reactions and keeps the display focused on the most relevant areas. Instead of drawing a static rectangle and leaving it there forever, each zone is maintained as an active region on the chart and can be limited by a user defined visibility depth to avoid clutter. When enabled, the overlay also adds compact volume based context inside the block so you can quickly compare relative participation between recent zones and see whether the origin move showed strong follow through versus a softer transition. The intention is to provide structured context and cleaner prioritization on the chart, not to present a trade call or a guaranteed reaction level.
Bullish Order Block:
Bearish Order Block:
Order blocks are derived from the structure shifts, marking the institutional “origin zone” behind a decisive move and projecting it forward as a live area of interest. In practice, it highlights the candle cluster where price last rebalanced before expanding away, so you can track potential retests with context instead of guessing.
Inside each order block, the internal bars act as a compact strength meter green vs red summarizes the relative bullish vs bearish participation, while the blue segment reflects the “departure force” (displacement/momentum) away from the zone. It’s meant to help you scan which blocks left clean and strong versus those that moved out more slowly or with mixed pressure.
🔸 Breaker Blocks & Mitigation Tracking
Tracks when previously identified order blocks fail and converts them into breaker blocks, visually marking a change in how price is interacting with that zone.
Bullish Breaker Block :
Bearish Breaker Block :
Separate handling of bullish and bearish breakers with clear color differentiation.
Includes optional “mitigation” logic using either wick or close to determine when a block is considered broken or mitigated.
Breaker blocks are updated and removed dynamically as price trades through them, keeping the chart focused on current, active zones.
🔸 Imbalances
The imbalance module maps common price inefficiencies as zones, with support for multiple detection styles such as Fair Value Gaps, volume style imbalances, opening gaps, and an inverted gap mode. Each imbalance is drawn as a practical area on the chart with a midpoint reference, so you can quickly see where price may be revisiting unbalanced movement. You can also choose how mitigation is evaluated (wick or close) and optionally run imbalance detection on a separate timeframe for cleaner higher timeframe context while staying on your execution chart.
Fair Value Gaps:
Inverse Fair Value Gaps:
Opening Gaps:
🔸 Liquidity Sweeps, EQH/EQL, and Optional Volume Filter
Liquidity levels are derived from swing highs and lows and then monitored for sweep behavior, where price trades beyond a prior level and rejects back. If you enable EQH/EQL marking, the script can highlight equal highs and equal lows behavior around those liquidity areas to make common pool formations easier to spot. An optional volume filter can be used to reduce tracking of low participation swings, helping keep the liquidity layer focused and less noisy on instruments that produce frequent small pivots.
Sellside Liquidity Sweep Definition:
Buyside Liquidity Sweep Definition:
Highlights equal highs (EQH) and equal lows (EQL) when sweeps occur, marking where price probed above/below prior liquidity and then rejected.
Optional volume filter to ignore low volume swings and focus on more meaningful liquidity zones.
🔸 Premium, Discount, and Equilibrium
The premium and discount view provides a simple contextual map of where price is trading within a measured range, alongside an optional equilibrium line as a midpoint reference. This is intended as a higher level framing tool to help you avoid treating every price location the same, especially when combining structure with reaction zones. Price labels can be enabled for quick orientation, and the display updates as the underlying range evolves.
Projects premium and discount bands based on a dynamically measured range, offering a simple view of where price is trading relative to that range.
Draws separate Premium and Discount boxes with optional price labels for quick orientation.
Optional mid line (equilibrium) to visualize the “50%” of the current range, often used as a reference for balanced versus extended price.
Zones auto update as the underlying range evolves, with logic to prevent stale levels from cluttering the chart.
🔸 Trend Channels
When enabled, the trend module draws swing based diagonal structure using trendlines and a channel style visualization. You can tune sensitivity and choose whether the source should be depending on how you prefer to read trend behavior. The channel is maintained dynamically so you can keep directional context without manually drawing and constantly adjusting diagonal lines, and the script can highlight basic break behavior when price pushes beyond the active diagonal reference.
🔸 Swing Failure Pattern (SFP) Detector
The SFP module highlights common swing failure behavior, where price briefly trades beyond a swing level and then reclaims it, often reflecting a liquidity grab followed by rejection. Bullish and bearish SFPs can be enabled independently, and the display is designed to keep the key level and the rejection visible without excessive clutter. Optional volume validation can be used as a filter, so you can choose whether you want the detector to be more permissive or more selective based on participation characteristics.
🔸 HTF Candle Projection Panel
The HTF panel projects a compact set of higher timeframe candles to the right of price, giving you higher timeframe context without switching charts. You can select classic candles or Heikin Ashi style, adjust the scale and spacing, and optionally display reference lines and labels for OHLC values. This is a visual context tool intended to support multi timeframe reading, not a replacement for your own higher timeframe analysis.
In addition to projecting higher timeframe candles, the HTF panel can also detect and visualize higher timeframe liquidity sweeps directly within the projected candle set. The script monitors each completed HTF candle’s high and low and evaluates subsequent HTF candles for sweep behavior i.e., when price briefly trades beyond a prior HTF extreme but fails to hold acceptance beyond it (filtered using the later candle’s body positioning). When a sweep is detected, the panel draws a dotted sweep line and marks the event, allowing you to spot HTF stop runs and failed breaks without switching timeframes. Sweeps are dynamically invalidated if a later HTF candle shows genuine acceptance beyond that level, ensuring the display stays context relevant and avoids stale markings. This turns the HTF projection from a passive visualization into an actionable context layer for identifying HTF liquidity events while executing on lower timeframes.
🔸 Alerts
Alerts are included for the most practical events produced by the overlay, such as structure shifts (CHoCH and BoS), liquidity sweeps, new and invalidated zones, price approaching recent zones, imbalance creation and mitigation, premium or discount entries, trendline events, and SFP detections. The alerts are designed to function as a monitoring layer so you can be notified when something changes in your mapped context, rather than acting as standalone trade instructions.
🔸 Originality & Usefulness
This script is not a collection of separate SMC drawings layered on top of price. It is built as a unified price action engine where market structure, order blocks, inefficiencies, and liquidity are produced from the same evolving state. That matters because most SMC indicators treat these concepts as independent overlays, which often leads to contradictory markings and excessive clutter. Here, the design priority is consistency and readability: modules update in sync, older elements are managed, and the chart stays usable during live conditions.
A key differentiator is the internal swing logic, which functions like a compact zigzag style structure engine. Instead of reacting to every minor fluctuation, it aims to focus on meaningful swing decisions and treat structure as a sequence. This reduces repetitive labeling and makes structural transitions easier to follow. Structure events are anchored to the swing that defined them and are designed to trigger in a clean, non spammy way, which is critical for anyone who uses structure as a workflow backbone.
The structure layer is intentionally narrative oriented. It separates a transition event from continuation events, so CHoCH is used to highlight the first meaningful shift after an established leg, while BoS is used to mark follow through in the same direction. This is not a prediction claim. It is a clarity feature that helps users read “phase changes” versus “continuation” without constantly second guessing whether the script is just printing noise.
Order blocks are where this script becomes especially distinctive compared to typical SMC tools. Instead of drawing identical rectangles, each block is rendered with an internal gauge that communicates participation and directional dominance at a glance. The zone is visually segmented to reflect bullish and bearish pressure components, and it also carries a volume readout plus a relative weight compared to other recent blocks. This creates a ranked view of blocks rather than an unfiltered pile. In practice, you can prioritize zones faster because the script surfaces which blocks had more meaningful participation and whether the internal push looked one sided or mixed. The result is less subjective filtering and a cleaner chart.
Imbalances are handled as structured inefficiency zones with clear references and optional context. Beyond drawing the zone and midpoint, the script can overlay a sentiment style gauge that divides the imbalance into bullish and bearish portions and updates as new data comes in. The practical value is that you can see whether an inefficiency remains strongly one sided or is gradually being balanced. This turns imbalances from static boxes into a living context layer, which is particularly useful when you monitor reactions over time instead of treating every touch the same.
Liquidity is treated as an event driven tracking system rather than simple pivot plotting. Liquidity pools are identified from swing behavior and can be gated through a participation filter so the script focuses on levels that formed with meaningful activity rather than low quality noise. Once tracked, levels are monitored for outcomes like sweeps and equal high/low behavior, and then updated or retired when they are decisively resolved. This prevents the display from accumulating stale levels and keeps the liquidity layer focused on what is still relevant now.
Swing failure patterns are integrated as selective events rather than continuous spam. The intent is to produce fewer but more structurally meaningful SFPs, aligned with the liquidity narrative, instead of printing clusters around the same price area. This keeps the pattern readable and reinforces the “event based” design philosophy across the script.
Higher timeframe context is supported through a compact HTF projection panel that provides quick orientation without forcing constant timeframe switching. It lets you see where current price action sits inside a larger timeframe candle and range, which helps maintain consistency when you are executing on a lower timeframe but respecting higher timeframe structure.
Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice, and it does not guarantee results.
🔹 How to Use
This tool is designed to support multiple trading styles, but it is most effective when you treat it as a top down mapping and decision support tool. A practical workflow looks like this.
1) Establish higher timeframe bias and context
Start on your reference timeframe such as H4 or Daily and read the market’s dominant story first. Use the Market Structure Engine to identify whether the market is in continuation mode or transition mode. The goal is to avoid executing lower timeframe ideas that conflict with the larger structure narrative.
Use the HTF Candle Projection Panel as a fast orientation aid. It helps you judge whether current price is building acceptance near the highs of the larger candle, rotating back toward its open, or rejecting from its extremes. This is especially useful when you execute on lower timeframes but want to stay aligned with higher timeframe positioning.
Add Premium and Discount framing to understand location. When price is trading in premium, continuation longs are often more selective and require stronger confirmation, while shorts may have better location if structure supports it. When price is in discount, the opposite applies. Treat this as location context, not a rule.
2) Map your key reaction zones with prioritization
Next, build your map of where reactions are most likely to occur. Enable Order Blocks with Volumetric Insight to highlight the most relevant origin zones that form after important structure events. Keep your focus on the most recent blocks and adjust the visible depth so the chart stays clean.
Use the internal gauge and participation readouts to prioritize. Instead of treating every zone as equal, treat higher participation blocks as primary candidates and lower participation blocks as secondary. The bullish and bearish split inside the gauge helps you quickly judge whether the zone formed from a clearly one sided push or a more mixed move, which can inform how strict you want to be with confirmation on a retest.
If you use Breaker Blocks, treat them as role shift zones. They are especially useful when the market has clearly transitioned and you want to track where a previously defended origin area may become a meaningful retest level later.
3) Layer in inefficiencies only where they add clarity
If your workflow includes imbalances, add them selectively to avoid visual overload. Use Fair Value Gaps, Volume Imbalances, or Opening Gaps as secondary reaction areas that often sit inside, near, or between larger zones.
If you enable the internal sentiment gauge, read it as context rather than a signal. It is meant to help you see whether the imbalance remains one sided or has started to balance out as price develops. A strongly one sided presentation can support the idea of continuation through the zone, while a more balanced presentation can support the idea of deeper mitigation or chop. Use it to refine expectations, not to force entries.
4) Track liquidity as events, not as static levels
Enable Liquidity Sweeps and EQH/EQL tagging to highlight where resting liquidity is likely concentrated and when it gets taken. The main value here is narrative: you can see when price runs obvious highs or lows and whether it immediately rejects back into structure or accepts beyond the level.
If you use the volume filter, treat it as a quality gate. The point is to ignore small, low participation swings and keep the liquidity layer focused on levels that formed with meaningful activity. This tends to reduce noise and makes sweeps and equal level behavior more relevant.
Combine the liquidity layer with the Swing Failure Pattern detector to isolate moments where liquidity is taken and then rejected. The cleanest use is when SFPs occur at or near your pre mapped reaction zones, after a sweep, and in alignment with your higher timeframe bias.
5) Refine execution timing on your entry timeframe
Drop to your execution timeframe and use local structure shifts as timing tools. CHoCH and BoS on the lower timeframe can help you see when micro structure is flipping in your intended direction after price interacts with your mapped zone.
If you use the Trend Channel framework, treat it as diagonal context rather than strict support and resistance. A channel helps you see where price is riding the trend and where it is deviating. This can help you time entries by waiting for price to re enter the corridor, show rejection near a boundary, or confirm a shift by building structure outside the channel.
A common practical sequence is: price reaches a mapped OB or imbalance area, liquidity gets taken, price rejects, micro structure begins to flip, and then you execute with your own confirmation and risk rules. The tool helps you see each step clearly, but your plan determines what is sufficient confirmation.
6) Use alerts as monitoring, not as standalone signals
Set alerts only for events that are meaningful to your workflow, such as:
-fresh CHoCH or BoS in your preferred direction
-new or invalidated order blocks and breaker blocks
-price approaching the most recent priority zones
-liquidity sweeps and EQH/EQL interactions
-new SFP events
-entry into premium or discount and interaction with HTF projection levels
-imbalance creation, mitigation, or approach
Treat alerts as prompts to check the chart, not as automatic entries or exits. This script is designed as a mapping and decision support tool. Trade execution, confirmation, and risk management remain entirely dependent on your own strategy and discretion.
🔴 Price Action Practical Notes
💠 Market structure
Market structure is the framework used to describe how price organizes itself into swings. It is built from successive swing highs and swing lows, and it is used to decide whether the market is expanding upward, expanding downward, or transitioning. A practical structure model focuses on “meaningful” turning points rather than every minor fluctuation, because the goal is to capture intent and flow, not noise.
💠 Swing highs and swing lows
A swing high is a local peak where price stops advancing and begins to rotate lower, while a swing low is a local trough where selling pressure pauses and price rotates higher. Swings matter because many traders anchor risk, liquidity, and entries around them. The stronger the reaction away from a swing, the more likely it is to be referenced again as a decision point.
💠 Break of structure
A break of structure is the event where price decisively exceeds a prior swing in the direction of the prevailing move. In practice, it is used as confirmation that a directional leg is still active and that liquidity resting beyond the swing has been taken. This concept is less about predicting and more about validating continuation.
💠 Change of character
A change of character is a structural break that signals transition rather than continuation. Instead of breaking a swing in the same direction as the recent trend, price breaks a key swing in the opposite direction, suggesting that control may be shifting. It is often treated as an early warning that the market may be moving from continuation into reversal or deeper pullback conditions.
💠 Order blocks
An order block is commonly described as the last opposing candle or consolidation zone that precedes a strong directional expansion. The idea is that this area represents a footprint of aggressive execution and unfilled interest. When price revisits it later, it can act as a reaction zone because participants who missed the move may defend it, or because remaining orders may still exist there.
💠 Mitigation and invalidation of a zone
Mitigation describes the process of price returning to a zone and “consuming” the remaining interest there. A zone is typically considered invalidated when price trades through it in a way that implies the resting orders were absorbed and the area no longer has protective value. Some approaches treat a wick through the boundary as enough to invalidate, while others require a candle close beyond the boundary to confirm that the level has truly failed.
💠 Breaker blocks
A breaker block is an order block concept that changes role after being invalidated. When a previously respected zone fails, it can later become a reaction area in the opposite direction because trapped participants may use the retest to exit, or because the market may recognize it as a new supply or demand reference. Breakers are often treated as “failed zones that become liquidity magnets” and are closely watched on retests.
💠 Liquidity and liquidity pools
Liquidity is the availability of resting orders that allow large transactions to execute with minimal slippage. In chart terms, liquidity pools often form around obvious swing highs and lows, equal highs and lows, and clear ranges. These areas attract price because they contain clustered stops and entries that can be used to fuel continuation or trigger reversals through rapid order flow shifts.
💠 Liquidity sweeps
A liquidity sweep is a move where price briefly trades beyond a known liquidity pool and then returns back inside, often closing back within the prior range. The concept implies that stops were triggered and liquidity was captured, but that continuation beyond the swept level did not sustain. Sweeps are frequently used as context for reversals or for confirming that a “cleanout” occurred before a directional move.
💠 Equal highs and equal lows
Equal highs and equal lows describe repeated swing levels that form a flat or nearly flat top or bottom. They matter because they concentrate liquidity. Many traders place stops just beyond these repeated levels, and many breakout traders place entries around them. The result is a dense cluster of orders that can be targeted efficiently by price.
💠Imbalances and inefficiencies
Imbalances represent zones where price moved so quickly that it left behind inefficient trading, meaning fewer transactions occurred in that region compared to surrounding areas. The underlying idea is that markets often revisit these areas to rebalance, fill gaps, or complete unfinished business. Imbalances are treated as areas of interest for pullback entries, targets, or reaction zones.
💠 Fair value gap
A fair value gap is a specific form of imbalance commonly framed as a three candle displacement that leaves a gap between candles, indicating rapid repricing. Traders use it as a proxy for inefficiency: if price returns, it may partially or fully fill the gap before continuing. The midpoint of the gap is often treated as a particularly relevant reference, but whether price respects it depends on context.
💠 Inverted fair value gap
An inverted fair value gap is the idea that once an imbalance is “broken” in a meaningful way, the zone can flip its behavior. Instead of acting like a supportive zone, it may become resistive (or vice versa) on a later retest. Conceptually, this is similar to role reversal: what once behaved as a continuation aid can become a rejection zone after failure.
💠 Premium, discount, and equilibrium
Premium and discount describe where price sits relative to a defined recent range. Premium is the upper portion of that range and discount is the lower portion. Equilibrium is the midpoint. The concept is mainly used to align trade direction with location: buying is generally more attractive in discount and selling is generally more attractive in premium, assuming you are trading mean reversion within a range or seeking favorable risk placement within a broader trend.
💠 Swing failure pattern
A swing failure pattern is a reversal archetype where price breaks a known swing level, fails to hold beyond it, and returns back through the level. The logic is that the breakout attempt attracted orders and triggered stops, but the market rejected the extension. SFPs are often considered higher quality when the failure is followed by a decisive move away and when it aligns with a broader liquidity narrative.
💠 Higher timeframe context
Higher timeframe context means framing intraday or lower timeframe signals within the structure of a larger timeframe. This can include aligning trades with higher timeframe swings, using higher timeframe candles as reference for open/high/low behavior, and avoiding taking counter trend signals when the larger timeframe is strongly directional. The purpose is to improve signal quality by ensuring the smaller timeframe idea is not fighting a dominant larger flow.
💠 Trend channels
A trend channel is a structured way to visualize a market’s directional “lane” by framing price between two roughly parallel boundaries. The central idea is that trending price action often oscillates in a repeatable corridor: pullbacks tend to stall around one side of the lane, while impulses tend to extend toward the opposite side. Instead of treating trend as a single line, a channel treats trend as an area, which better reflects real market behavior where reactions occur in zones rather than at perfect prices.
A channel typically has three functional references: a guiding line that represents the prevailing slope, an upper boundary that approximates where bullish expansions tend to stretch before mean reversion, and a lower boundary that approximates where bearish pullbacks tend to terminate before continuation. The space between boundaries represents the market’s accepted path. When price stays inside this corridor, the trend is considered healthy. When price repeatedly fails to progress within it, the trend is weakening.
Channels are commonly used for timing and location. In an uptrend channel, pullbacks into the lower portion of the corridor are often treated as higher quality “location” for continuation attempts, while pushes into the upper portion are treated as extension territory where risk of a pause or retracement increases. In a downtrend channel, the logic is mirrored: rallies into the upper portion are often treated as sell side location, and moves into the lower portion are treated as extension territory. The channel does not predict direction by itself; it provides a disciplined map for where continuation is more likely versus where momentum is more likely to cool.
A key concept is acceptance versus deviation. If price briefly pierces a boundary and snaps back inside, that is often interpreted as a deviation, meaning the market tested outside the lane but did not accept it. If price holds outside the corridor and begins to build new swings there, that suggests acceptance and a potential regime change: either a new channel with a different slope, a shift into range, or a broader reversal context. This is why channels are most useful when you treat them as a framework for evaluating behavior, not as rigid support and resistance.
Bollinger Bands Delta Matrix Analytics [BDMA] Bollinger Bands Delta Matrix Analytics (BDMA) v7.0
Deep Kinetic Engine – 5x8 Volatility & Delta Decision Matrix
1. Introduction & Concept
Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 is an analytical framework that merges:
- Spatial analysis via Bollinger Bands (%B location),
- with a 4-factor Deep Kinetic Engine based on:
• Total Volume
• Buy Volume
• Sell Volume
• Delta (Buy – Sell) Z-Scores
and converts them into an expanded 5×8 decision matrix that continuously tracks where price is trading and how the underlying orderflow is behaving.
BDMA is not a trading system or strategy. It does not generate entry/exit signals.
Instead, it provides a structured contextual map of volatility, volume, and delta so traders can:
- identify climactic extensions vs. fakeouts,
- distinguish strong initiative moves vs. passive absorption,
- and detect squeezes, traps, and liquidity voids with a unified visual dashboard.
2. Spatial Engine – Bollinger S-States (S1–S5)
The spatial dimension of BDMA comes from classic Bollinger Bands.
Price location is expressed as Percent B (%B) and mapped into 5 spatial states (S-States):
S1 – Hyper Extension (Above Upper Band)
Price has pushed beyond the upper Bollinger Band.
Often associated with parabolic or blow-off behavior, late-stage momentum, and elevated reversal risk.
S2 – Resistance Test (Upper Zone)
Price trades in the upper Bollinger region but remains inside the bands.
Represents a sustained test of resistance, typically within an established or emerging uptrend.
S3 – Neutral Zone (Middle)
Price hovers around the mid-band.
This is the mean reversion gravity field where the market often consolidates or transitions between regimes.
S4 – Support Test (Lower Zone)
Price trades in the lower Bollinger region but inside the bands.
Represents a sustained test of support within range or downtrend structures.
S5 – Hyper Drop (Below Lower Band)
Price extends below the lower Bollinger Band.
Often aligned with panic, forced liquidations, or capitulation-type behavior, with increased snap-back risk.
These 5 S-States define the vertical axis (rows) of the BDMA matrix.
3. Deep Kinetic Engine – 4-Factor Z-Score & D-States (D1–D8)
The Deep Kinetic Engine transforms raw volume and delta into standardized Z-Scores to measure how abnormal current activity is relative to its recent history.
For each bar:
- Raw Buy Volume is estimated from the candle’s position within its range
- Raw Sell Volume is complementary to buy volume
- Raw Delta = Buy Volume – Sell Volume
- Total Volume = Buy Volume + Sell Volume
These 4 series are then normalized using a unified Z-Score lookback to produce:
1. Z_Vol_Total – overall activity and liquidity intensity
2. Z_Vol_Buy – aggression from buyers (attack)
3. Z_Vol_Sell – aggression from sellers (defense or attack)
4. Z_Delta – net victory of one side over the other
Thresholds for Extreme, Significant, and Neutral Z-Score levels are fully configurable, allowing you to tune the sensitivity of the kinetic states.
Using Z_Vol_Total and Z_Delta (plus threshold logic), BDMA assigns one of 8 Deep Kinetic states (D-States):
D1 – Climax Buy
Extreme Total Volume + Extreme Positive Delta → Buying climax or blow-off behavior.
D2 – Strong Buy
High Volume + High Positive Delta → Confirmed bullish initiative activity.
D3 – Weak Buy / Fakeout
Low Volume + High Positive Delta → Bullish delta without commitment, low-liquidity breakout risk.
D4 – Absorption / Conflict
High Volume + Neutral Delta → Aggressive two-way trade, strong absorption, war zone behavior.
D5 – Neutral
Low Volume + Neutral Delta → Low-energy environment with low conviction.
D6 – Weak Sell / Fakeout
Low Volume + High Negative Delta → Bearish delta without commitment, low-liquidity breakdown risk.
D7 – Strong Sell
High Volume + High Negative Delta → Confirmed bearish initiative activity.
D8 – Capitulation
Extreme Volume + Extreme Negative Delta → Panic selling or capitulation regime.
These 8 D-States define the horizontal axis (columns) of the BDMA matrix.
4. The 5×8 BDMA Decision Matrix
The core of BDMA is a 5×8 matrix where:
- Rows (1–5) = Spatial S-States (S1…S5)
- Columns (1–8) = Kinetic D-States (D1…D8)
Each of the 40 possible combinations (SxDy) is pre-computed and mapped to:
- a Status or Regime Title (for example: Climax Breakout, Bear Trap Spring, Capitulation Breakdown),
- a Bias (Climactic Bull, Neutral, Strong Bear, Conflict or Reversal Risk, and similar labels),
- and a Strategic Signal or Consideration (for example: High reversal risk, Wait for confirmation, Low probability zone – avoid).
Internally, BDMA resolves all 40 regimes so the current state can be displayed on the dashboard without performance overhead.
5. Key Regime Families (How to Read the Matrix)
5.1. Breakouts and Breakdowns
Climax Breakout (Top-side)
Spatial S1 with Kinetic D1 or D2
Bias: Explosive or Extreme Bull
Signal:
- Strong or climactic upside extension with abnormal bullish orderflow.
- Trend continuation is possible, but reversal risk is extremely high after blow-off phases.
Low-Conviction Breakout (Fakeout Risk)
S1 with D3 (Weak Buy, low liquidity)
Bias: Weak Bull – Caution
Signal:
- Breakout not supported by volume.
- Elevated risk of failed auction or bull trap.
Capitulation Breakdown (Bottom-side)
Spatial S5 with Kinetic D8
Bias: Climactic Bear (panic)
Signal:
- Capitulation-type selling or forced liquidations.
- Trend can still proceed, but snap-back or violent short-covering risk is high.
Initiative Breakdown vs. Weak Breakdown
- Strong, high-volume breakdown typically corresponds to D7 (Strong Sell).
- Low-volume breakdown often corresponds to D6 (Weak Sell or Fakeout) with potential for failure.
5.2. Absorption, Traps and Springs
Absorption at Resistance (Top-side conflict)
S1 or S2 with D4 (Absorption or Conflict)
Bias: Conflict – Extreme Tension
Signal:
- Heavy two-way trade near resistance.
- Potential distribution or reversal if sellers begin to dominate.
Bull Trap or Failed Auction
Typically S1 with D6 (Weak Sell breakdown behavior after a top-side attempt)
Indicates a breakout attempt that fails and reverses, often after poor liquidity structure.
Absorption at Support and Bear Trap (Spring)
S4 or S5 with D4 or D3
Bias: Conflict or Weak Bear – Reversal Risk
Signal:
- Aggressive buying into lows (spring or shakeout behavior).
- Potential bear trap if price reclaims lost territory.
5.3. Trend Phases
Strong Uptrend Phases
Typically seen when S2–S3 combine with strong bullish kinetic behavior.
Bias: Strong or Extreme Bull
Signal:
- Pullbacks into S3 or S4 with supportive kinetic states often act as trend continuation zones.
Strong Downtrend Phases
Typically seen when S3–S4 combine with strong bearish kinetic behavior.
Bias: Strong or Extreme Bear
Signal:
- Rallies into resistance with strong bearish kinetic backing may act as continuation sell zones.
5.4. Neutral, Exhaustion and Squeeze
Exhaustion or Liquidity Void
S1 or S5 with D5 (Neutral kinetics)
Bias: Neutral or Exhaustion
Signal:
- Spatial extremes without kinetic confirmation.
- Often marks the end of a move, with poor follow-through.
Choppy, Low-Activity Range
S3 with D5
Bias: Neutral
Signal:
- Low volume, low conviction market.
- Typically a low-probability environment where standing aside can be logical.
Squeeze or High-Tension Zone
S3 with D4 or tightly clustered kinetic values
Bias: Conflict or High Tension
Signal:
- Hidden battle inside a volatility contraction.
- Often precedes large directionally-biased moves.
6. Dashboard Layout & Reading Guide
When Show Dashboard is enabled, BDMA displays:
1. Title and Status Line
Name of the current regime (for example: Climax Breakout, Bear Trap Spring, Mean Reversion).
2. Bias Line
Plain-language summary of directional context such as Climactic Bull, Strong Bear, Neutral, or Conflict and Reversal Risk.
3. Signal or Strategic Notes
Concise guidance focused on risk and context, not entries. For example:
- High reversal risk – aggressive traders only
- Wait for confirmation (break or rejection)
- Low probability zone – avoid taking new positions
4. Kinetic Profile (4-Factor Z-Score)
Shows the current Z-Scores for Total Volume (Activity), Buy Volume (Attack), Sell Volume (Defense), and Delta (Net Result).
5. Matrix Heatmap (5×8)
Visual representation of S-State vs. D-State with color coding:
- Bullish clusters in a green spectrum
- Bearish clusters in a red spectrum
- Conflict or exhaustion zones in yellow, amber, or neutral tones
The dashboard can be repositioned (top right, middle right, or bottom right) and its size can be adjusted (Tiny, Small, Normal, or Large) to fit different layouts.
7. Inputs & Customization
7.1. Core Parameters (Bollinger and Z-Score)
- Bollinger Length and Standard Deviation define the spatial engine.
- Z-Score Lookback (All Factors) defines how many bars are used to normalize volume and delta.
7.2. Deep Kinetic Thresholds
- Extreme Threshold defines what is considered climactic (D1 or D8).
- Significant Threshold distinguishes strong initiative vs. weak or fakeout behavior.
- Neutral Threshold is the band within which delta is treated as neutral.
These thresholds allow you to tune the sensitivity of the kinetic classification to fit different timeframes or instruments.
7.3. Calculation Method (Volume Delta)
Geometry (Approx)
- Fast, non-repainting approach based on candle geometry.
- Suitable for most users and real-time decision-making.
Intrabar (Precise)
- Uses lower-timeframe data for more precise volume delta estimation.
- Intrabar mode can repaint and requires compatible data and plan support on the platform.
- Best used for post-analysis or research, not blind automation.
7.4. Visuals and Interface
- Toggle Bollinger Bands visibility on or off.
- Switch between Dark and Light color themes.
- Configure dashboard visibility, matrix heatmap display, position, and size.
8. Multi-Language Semantic Engine (Asia and Middle East Focus)
BDMA v7.0 includes a fully integrated multi-language layer, targeting a wide geographic user base.
Supported Languages:
English, Türkçe, Русский, 简体中文, हिन्दी, العربية, فارسی, עברית
All dashboard labels, regime titles, bias descriptions, and signal texts are dynamically translated via an internal dictionary, while semantic meaning is kept consistent across languages.
This makes BDMA suitable for multi-language communities, study groups, and educational content across different regions.
However, due to the heavy computational load of the Deep Kinetic Engine and TradingView’s strict Pine Script execution limits, it was not possible to expand support to additional languages. Adding more translation layers would significantly increase memory usage and exceed runtime constraints. For this reason, the current language set represents the maximum optimized configuration achievable without compromising performance or stability.
9. Practical Usage Notes
BDMA is most powerful when used as a contextual overlay on top of market structure (HH, HL, LH, LL), higher-timeframe trend, key levels, and your own execution framework.
Recommended usage:
- Identify the current regime (Status and Bias).
- Check whether price location (S-State) and kinetic behavior (D-State) agree with your trade idea.
- Be especially cautious in climactic and absorption or conflict zones, where volatility and risk can be elevated.
Avoid treating BDMA as an automatic green equals buy, red equals sell tool.
The real edge comes from understanding where you are in the volatility or kinetic spectrum, not from forcing signals out of the matrix.
10. Limitations & Important Warnings
BDMA does not predict the future.
It organizes current and recent data into a structured context.
Volume data quality depends on the underlying symbol, exchange, and broker feed.
Forex, crypto, indices, and stocks may all behave differently.
Intrabar mode can repaint and is sensitive to lower-timeframe data availability and your plan type.
Use it with extra caution and primarily for research.
No indicator can remove the need for clear trading rules, disciplined risk management, and psychological control.
11. Disclaimer
This script is provided strictly for educational and analytical purposes.
It is not a trading system, signal service, financial product, or investment advice.
Nothing in this indicator or its description should be interpreted as a recommendation to buy or sell any asset.
Past behavior of any indicator or market pattern does not guarantee future results.
Trading and investing involve significant risk, including the risk of losing more than your initial capital in leveraged products.
You are solely responsible for your own decisions, risk management, and results.
By using this script, you acknowledge that you understand these risks and agree that the author or authors and publisher or publishers are not liable for any loss or damage arising from its use.
CS Institutional X-Ray (Perfect Sync)Title: CS Institutional X-Ray
Description:
CS Institutional X-Ray is an advanced Order Flow and Market Structure suite designed to reveal what happens inside Japanese candles.
Most traders only see open and close prices. This indicator utilizes VSA (Volume Spread Analysis) algorithms and Synthetic Footprint Logic to detect institutional intervention, liquidity manipulation, and market exhaustion.
🧠 1. The Mathematical Engine: Synthetic Footprint
The core of this indicator is not based on moving average crossovers, but on market physics: Effort vs. Result.
The script scans every candle and calculates:
Buy/Sell Pressure: Analyzes the close position relative to the total candle range and weights it by volume.
Synthetic Delta: Calculates the net difference between buyer and seller aggression.
Volume Anomalies: Detects when volume is abnormally high (Institutional) or low (Retail).
The Absorption Logic: The indicator hunts for divergences between candle color and internal flow.
Example: If price drops hard (Red Candle) with massive volume, but the close moves away from the low, the algorithm detects that massive LIMIT orders absorbed the selling pressure. Result: Institutional Buy Signal.
📊 2. The Institutional Semaphore (Visual Guide)
The indicator automatically recolors candles to show the real state of the auction:
🔵 CYAN (Whale Buy): Bullish Absorption. Institutions buying aggressively or absorbing selling pressure at support.
🟣 MAGENTA (Whale Sell): Bearish Absorption. Institutions selling into strength or stopping a rally with sell walls.
⚪ GREY (Exhaustion/Zombie): "No-Trade" Zone. Volume is extremely low. The movement lacks institutional backing and is prone to failure.
🟢/🔴 Normal: Market in equilibrium.
🛡️ 3. Smart Zone System (Market Memory)
The indicator draws and manages Support and Resistance levels based on volume events, not just pivots.
Virgin Zones (Bright): When a "Whale" appears, a solid line is projected. If price has not touched it again, it is a high-probability bounce zone.
Automatic Mitigation: The exact moment price touches a line, the indicator detects the mitigation. The line turns Grey and Dotted, and the label dims. This keeps the chart clean, showing only what is relevant now.
☠️ 4. Manipulation Detector (Liquidity Grabs)
The system distinguishes between a normal reversal and a "Stop Hunt".
Signal: ☠️ GRAB
Logic: If price breaks a previous Low/High to sweep liquidity and closes with an absorption candle (Whale), it is marked as a "Grab." This is the system's most powerful reversal signal.
🧱 5. FVG with Liquidity Score
The indicator draws Fair Value Gaps (Imbalances) and assigns them a volume score.
"Vol: 3.0x": Indicates that the gap was created with 3 times the average volume, making it a much stronger price magnet than a standard FVG.
🚀 How to Trade with CS Institutional X-Ray
Identify the Footprint: Wait for a Cyan or Magenta candle to appear.
Validate the Trap: If the signal comes with a "☠️ GRAB" label, the probability of success increases drastically.
The Retest (Entry): Do not chase price. Place a Limit order on the generated Zone Line or at the edge of the FVG.
Management: Use opposite zones or mitigated zones (grey) as Take Profit targets.
Included Settings:
Fully configurable Alerts for Whales, Grabs, and Retests.
Total customization of colors and styles.
CVD [able0.1]# CVD Overlay iOS Style - Complete User Guide
## 📖 Table of Contents
1. (#what-is-cvd)
2. (#installation-guide)
3. (#understanding-the-display)
4. (#reading-the-info-table)
5. (#settings--customization)
6. (#trading-strategies)
7. (#common-mistakes-to-avoid)
---
## 🎯 What is CVD?
**CVD (Cumulative Volume Delta)** tracks the **difference between buying and selling pressure** over time.
### Simple Explanation:
- **Positive CVD** (Orange) = More buying than selling = Bulls winning
- **Negative CVD** (Gray) = More selling than buying = Bears winning
- **Rising CVD** = Increasing buying pressure = Potential uptrend
- **Falling CVD** = Increasing selling pressure = Potential downtrend
### Why It Matters:
CVD helps you see **who's really in control** of the market - not just price movement, but actual buying/selling volume.
---
## 🚀 Installation Guide
### Step 1: Open Pine Editor
1. Go to TradingView
2. Click the **"Pine Editor"** tab at the bottom of the screen
3. Click **"New"** or open an existing script
### Step 2: Copy & Paste the Code
1. Select all existing code (Ctrl+A / Cmd+A)
2. Delete it
3. Copy the entire CVD iOS Style code
4. Paste it into Pine Editor
### Step 3: Add to Chart
1. Click **"Save"** button (or Ctrl+S / Cmd+S)
2. Click **"Add to Chart"** button
3. The indicator will appear on your chart!
### Step 4: Initial Setup
- The indicator appears as an **overlay** on your price chart
- You'll see an **orange/gray line** following price
- An **info table** appears in the top-right corner
---
## 📊 Understanding the Display
### Main Chart Elements:
#### 1. **CVD Line** (Orange/Gray)
- **Orange Line** = Positive CVD (buying pressure)
- **Gray Line** = Negative CVD (selling pressure)
- This line moves with your price chart but shows volume delta
#### 2. **CVD Zone** (Shaded Area)
- Light shaded box around the CVD line
- Shows the "range" of CVD movement
- Helps visualize CVD boundaries
#### 3. **Center Line** (Dotted)
- Gray dotted line in the middle of the zone
- Represents the "neutral" point
- CVD crossing this = shift in market control
#### 4. **Reference Asset Line** (Light Gray)
- Shows Bitcoin (BTC) price movement for comparison
- Helps you see if your asset moves with or against BTC
- Can be changed to any asset you want
#### 5. **CVD Label**
- Shows current CVD value
- Positioned above/below zone to avoid overlap
- Updates in real-time
#### 6. **Reset Background** (Very Light Gray)
- Appears when CVD resets
- Indicates a new calculation period
---
## 📋 Reading the Info Table
The info table (top-right) shows **8 key metrics**:
### Row 1: **Header**
```
╔═ CVD able ═╗ | 15m | ████████ | able
```
- **CVD able** = Indicator name + creator
- **15m** = Current timeframe
- **████████** = Visual decoration
- **able** = Creator signature
### Row 2: **CVD Value**
```
CVD▲ | 7.39K | ████████ | █
█
█
```
- **CVD▲** = CVD with trend arrow
- ▲ = CVD increasing
- ▼ = CVD decreasing
- ► = CVD unchanged
- **7.39K** = Actual CVD number
- **Progress Bar** = Visual strength (darker = stronger)
- **Vertical Bars** = Height shows intensity
### Row 3: **Delta**
```
◆DELTA | -1.274K | ████░░░░ | ░
░
```
- **Delta** = Volume change THIS BAR ONLY
- **Negative** = More selling this bar
- **Positive** = More buying this bar
- Shows **immediate** pressure (not cumulative)
### Row 4: **UP Volume**
```
UP↑ | -1.263K | ████████ | █
█
█
```
- Total **buying volume** this bar
- Higher = Stronger buying pressure
- Green/Orange vertical bars = Bullish strength
### Row 5: **DOWN Volume**
```
DN↓ | 2.643K | ████████ | ░
░
░
```
- Total **selling volume** this bar
- Higher = Stronger selling pressure
- Gray vertical bars = Bearish strength
### Row 6-7: **Reference Asset** (if enabled)
```
══ REF ══ | ══════ | ████████ | █
█
PRICE▲ | 4130.300 | ████████ | █
█
```
- **REF** = Reference asset header
- **PRICE▲** = Reference price with trend
- Shows if BTC (or chosen asset) is rising/falling
- Compare with your chart to see correlation
### Row 8: **Market Status**
```
◄STATUS► | NEUT | ████░░░░ | ▒
▒
```
- **BULL** = CVD positive + Delta positive = Strong buying
- **BEAR** = CVD negative + Delta negative = Strong selling
- **NEUT** = Mixed signals = Wait for clarity
**Status Colors:**
- **Orange background** = Bullish (good for long)
- **Gray background** = Bearish (good for short)
- **White background** = Neutral (no clear signal)
---
## ⚙️ Settings & Customization
### Main Settings (⚙️)
#### **CVD Reset**
- **None** = CVD never resets (from beginning of data)
- **On Higher Timeframe** = Resets when HTF candle closes
- 15m chart → Resets hourly
- 1h chart → Resets daily
- Recommended for most traders
- **On Session Start** = Resets at market open
- **On Visible Chart** = Resets from leftmost visible bar
#### **Precision**
- **Low (Fast)** = Uses 1m data, faster but less accurate
- **Medium** = Uses 5m data, balanced (recommended)
- **High** = Uses 15m data, most accurate but slower
#### **Cumulative**
- ✅ On = CVD accumulates over time (recommended)
- ❌ Off = Shows only current bar delta
#### **Show Labels**
- ✅ On = Shows CVD value label on chart
- ❌ Off = Cleaner chart, no label
#### **Show Info Table**
- ✅ On = Shows info table (recommended for beginners)
- ❌ Off = Hide table for minimalist view
---
### 🎨 iOS Style Colors
You can customize **every color** to match your chart theme:
#### **Primary Colors**
- **Primary (Orange)** = Main bullish color (#FF9500)
- **Secondary (Gray)** = Main bearish color (#8E8E93)
- **Background** = Table background (#FFFFFF)
- **Text** = Text color (#1C1C1E)
#### **Bullish/Bearish**
- **Bullish (Orange)** = Positive CVD color
- **Bearish (Gray)** = Negative CVD color
- **Opacity** = Zone transparency (0-100%)
- **Show Zone** = Enable/disable shaded area
#### **Table Colors** (📋)
- **Header Background** = Top row background
- **Header Text** = Top row text color
- **Cell Background** = Data cells background
- **Cell Text** = Data cells text color
- **Border** = Table border color
- **Accent Background** = Special rows background
- **Alert Background** = Warning/status background
---
### 📊 Reference Asset Settings
#### **Enable**
- ✅ On = Shows reference asset line
- ❌ Off = Hide reference asset
#### **Symbol**
- Default: `BINANCE:BTCUSDT`
- Can change to any asset:
- `BINANCE:ETHUSDT` (Ethereum)
- `SPX` (S&P 500)
- `DXY` (US Dollar Index)
- Any ticker symbol
#### **Color & Width**
- Customize line appearance
- Width: 1-4 (thickness)
---
## 💡 Trading Strategies
### Strategy 1: CVD Divergence (Beginner-Friendly)
**What to Look For:**
- Price making **higher highs** but CVD making **lower highs** = Bearish divergence
- Price making **lower lows** but CVD making **higher lows** = Bullish divergence
**How to Trade:**
1. Wait for divergence to form
2. Look for confirmation (price reversal, candlestick pattern)
3. Enter trade in divergence direction
4. Stop loss beyond recent high/low
**Example:**
```
Price: /\ /\ /\ (higher highs)
CVD: /\ / \/ (lower highs) = Bearish signal
```
### Strategy 2: CVD Trend Following (Intermediate)
**What to Look For:**
- **Strongly rising CVD** + **rising price** = Strong uptrend
- **Strongly falling CVD** + **falling price** = Strong downtrend
**How to Trade:**
1. Wait for CVD and price moving in same direction
2. Enter on pullbacks to support/resistance
3. Stay in trade while CVD trend continues
4. Exit when CVD trend breaks
**Signals:**
- CVD ▲▲▲ + Price ↑ = Go LONG
- CVD ▼▼▼ + Price ↓ = Go SHORT
### Strategy 3: CVD + Reference Asset (Advanced)
**What to Look For:**
- Your asset **rising** but BTC (reference) **falling** = Relative strength
- Your asset **falling** but BTC (reference) **rising** = Relative weakness
**How to Trade:**
1. Compare CVD movement with BTC
2. If your CVD rises faster than BTC = Buy signal
3. If your CVD falls faster than BTC = Sell signal
4. Use for **pair trading** or **asset selection**
### Strategy 4: Volume Delta Confirmation
**What to Look For:**
- **Large positive Delta** = Strong buying this bar
- **Large negative Delta** = Strong selling this bar
**How to Trade:**
1. Price breaks resistance + Large positive Delta = Confirmed breakout
2. Price breaks support + Large negative Delta = Confirmed breakdown
3. Use Delta to **confirm** price moves, not predict them
**Rules:**
- Delta > 2x average = Very strong pressure
- Delta near zero at key level = Weak move, likely false breakout
---
## 🎓 Reading Real Scenarios
### Scenario 1: Strong Buying Pressure
```
Table Shows:
CVD▲ | 12.5K | ████████ | ████ (CVD rising)
◆DELTA | +2.8K | ████████ | ▲ (Positive delta)
UP↑ | 3.1K | ████████ | ████ (High buy volume)
DN↓ | 0.3K | ██░░░░░░ | ░ (Low sell volume)
◄STATUS► | BULL | ████████ | ████ (Orange background)
```
**Interpretation:** Strong buying, good for LONG trades
### Scenario 2: Distribution (Hidden Selling)
```
Table Shows:
CVD► | 8.2K | ████░░░░ | ▒▒ (CVD flat)
◆DELTA | -1.5K | ████████ | ▼ (Negative delta)
UP↑ | 0.8K | ███░░░░░ | ░ (Low buy volume)
DN↓ | 2.3K | ████████ | ████ (High sell volume)
◄STATUS► | BEAR | ████████ | ░░░░ (Gray background)
```
**Interpretation:** Price may look stable, but selling increasing = Prepare for drop
### Scenario 3: Neutral/Choppy Market
```
Table Shows:
CVD► | 5.1K | ████░░░░ | ▒ (CVD sideways)
◆DELTA | +0.2K | ██░░░░░░ | ─ (Small delta)
UP↑ | 1.2K | ████░░░░ | ▒ (Medium buy)
DN↓ | 1.0K | ████░░░░ | ▒ (Medium sell)
◄STATUS► | NEUT | ████░░░░ | ▒▒ (White background)
```
**Interpretation:** No clear direction = Stay out or reduce position size
---
## ⚠️ Common Mistakes to Avoid
### Mistake 1: Trading on CVD Alone
- ❌ **Wrong:** "CVD is rising, I'll buy immediately"
- ✅ **Right:** "CVD is rising, let me check price structure, support/resistance, and wait for confirmation"
### Mistake 2: Ignoring Delta
- ❌ **Wrong:** Looking only at cumulative CVD
- ✅ **Right:** Watch both CVD (trend) and Delta (momentum)
- Delta shows **immediate** pressure changes
### Mistake 3: Wrong Timeframe
- ❌ **Wrong:** Using 1m chart with High Precision (too slow)
- ✅ **Right:** Match precision to timeframe:
- 1m-5m → Low Precision
- 15m-1h → Medium Precision
- 4h+ → High Precision
### Mistake 4: Not Using Reset
- ❌ **Wrong:** Using "None" reset for intraday trading
- ✅ **Right:** Use "On Higher Timeframe" to see fresh CVD each session
### Mistake 5: Overtrading Neutral Status
- ❌ **Wrong:** Forcing trades when STATUS = NEUT
- ✅ **Right:** Only trade clear BULL or BEAR status
### Mistake 6: Ignoring Reference Asset
- ❌ **Wrong:** Trading altcoin without checking BTC
- ✅ **Right:** Always check if BTC CVD agrees with your asset
---
## 🔥 Pro Tips
### Tip 1: Multi-Timeframe Analysis
- Check CVD on **3 timeframes**:
- Lower TF (15m) = Entry timing
- Current TF (1h) = Trade direction
- Higher TF (4h) = Overall trend
### Tip 2: Volume Confirmation
- Big price move + Small Delta = **Weak move** (likely reversal)
- Small price move + Big Delta = **Strong accumulation** (continuation)
### Tip 3: CVD Reset Zones
- Pay attention to **reset backgrounds** (light gray)
- Often marks **session starts** = High volatility periods
### Tip 4: Divergence + Status
- Bearish divergence + STATUS = BEAR = **Strongest short signal**
- Bullish divergence + STATUS = BULL = **Strongest long signal**
### Tip 5: Color Psychology
- **Orange** (Bullish) is **warm** = Buying energy
- **Gray** (Bearish) is **cool** = Selling pressure
- Train your eye to read colors instantly
### Tip 6: Table as Quick Scan
- Glance at table without reading numbers:
- **All orange** = Bullish
- **All gray** = Bearish
- **Mixed** = Wait
---
## 📱 Quick Reference Card
| Signal | CVD | Delta | Status | Action |
|--------|-----|-------|--------|--------|
| **Strong Buy** | ▲▲ High | ++ Positive | BULL | Long Entry |
| **Strong Sell** | ▼▼ Low | -- Negative | BEAR | Short Entry |
| **Divergence Buy** | ▲ Rising | Price ▼ | → BULL | Long Setup |
| **Divergence Sell** | ▼ Falling | Price ▲ | → BEAR | Short Setup |
| **Neutral** | → Flat | ~0 Near Zero | NEUT | Stay Out |
| **Accumulation** | → Flat | ++ Positive | NEUT→BULL | Watch for Breakout |
| **Distribution** | → Flat | -- Negative | NEUT→BEAR | Watch for Breakdown |
---
## 🆘 Troubleshooting
### Issue: "Indicator not showing"
- **Solution:** Make sure overlay=true in code, re-add to chart
### Issue: "Table overlaps with price"
- **Solution:** Change table position in code or use TradingView's "Move" feature
### Issue: "CVD line too far from price"
- **Solution:** This is normal! CVD is volume-based, not price-based. Focus on CVD direction, not position
### Issue: "Too many lines on chart"
- **Solution:** Disable "Show Zone" and "Show Labels" in settings for cleaner view
### Issue: "Calculations too slow"
- **Solution:** Change Precision to "Low (Fast)" or use higher timeframe
### Issue: "Reference asset not showing"
- **Solution:** Check if "Enable" is ON and symbol is valid (e.g., BINANCE:BTCUSDT)
---
## 🎬 Getting Started Checklist
- Install indicator on TradingView
- Set precision to "Medium"
- Set reset to "On Higher Timeframe"
- Enable info table
- Add reference asset (BTC)
- Practice reading the table on demo account
- Test on different timeframes (15m, 1h, 4h)
- Compare CVD with your current strategy
- Paper trade for 1 week before going live
- Keep a trading journal of CVD signals
---
## 📚 Summary
**CVD shows WHO is winning: Buyers or Sellers**
**Key Points:**
1. **Orange/Rising CVD** = Buying pressure = Bullish
2. **Gray/Falling CVD** = Selling pressure = Bearish
3. **Delta** = Immediate momentum THIS BAR
4. **Status** = Overall market condition
5. **Always confirm** with price action & other indicators
**Remember:**
- CVD is a **tool**, not a crystal ball
- Use with proper risk management
- Practice makes perfect
- Stay disciplined!
---
**Created by: able**
**Version:** iOS Style v1.0
**Contact:** For questions, refer to TradingView community
Happy Trading! 🚀📈
KLS Ultimate V.1"KLS Ultimate V.1" is a meticulously designed trading indicator. It is built specifically for "Scalpers" (traders who want quick in-and-out profits).
**🚀 How it Works: The 3-Level Logic**
This indicator doesn't just rely on one tool. It gathers several indicators to have a "meeting" and confirm everything before giving you a Buy or Sell signal.
**🎯 Level 1: Core Trend (The Gatekeepers)**
This is the first checkpoint. If the price doesn't pass this stage, no signal gets generated.
- EMA: Is the price standing above the trend line? (Uptrend needs to be above, Downtrend below).
- MACD: Checks momentum and looks at the Histogram to see if real buying/selling volume is coming in.
- ADX: Measures trend strength (it won’t trade in boring, sideways markets).
**🔥 Level 2: Momentum (Finding the Best Entry)**
The second checkpoint to find the perfect spot to jump in.
- RSI: Checks if the price is Oversold (too cheap) or Overbought (too expensive).
- Stochastic: Finds short-term reversal crossovers.
**⭐ Level 3: Signal Boosters (For Strict Mode)**
A special bonus stage for those who want high accuracy (enable this in settings).
- RSI Divergence: Spots conflicts between price and RSI (e.g., Price drops but RSI rises = ready to pump).
- Price Action: Checks for strong candlestick patterns that show a clear winner between buyers and sellers.
------------------------------------------------------------
**🎮 User Guide**
Once you add this code to TradingView, here is what you will see and how to use it:
**A. Entry Signals**
🟢 Green BUY Label: Pops up below the candle.
* Means: Uptrend + Momentum + All filters passed.
🔴 Red SELL Label: Pops up above the candle.
* Means: Downtrend + Selling pressure + All filters passed.
**B. TP/SL Lines (Profit & Loss)**
The system calculates these automatically—no need to measure manually!
- Blue Line: Entry point.
- Light Green (TP1, TP2): Short-term profit targets.
- Dark Green (TP3): Long-term profit target.
- Red Line (SL): Stop Loss point.
**C. Special Mode: Strict Filter**
- Normal (False): Uses only Level 1 + Level 2. You get more signals.
- Strict (True): Needs Level 1 + 2 + 3 to trigger. Fewer signals, but much higher accuracy.
------------------------------------------------------------
**🛠️ Settings & Customization**
Click the gear icon to tweak the settings as you like:
1. Show BUY/SELL Signals: Uncheck if you don't want to see the labels.
2. Use Strict Filter: Check this for high precision (but you'll wait longer for signals).
3. Point Size: **Very Important!** This defines the TP/SL distance.
- For Gold (XAUUSD): Use **0.01**.
- For Forex pairs: Try **0.0001**.
- *Tip: Adjust this number until the TP/SL lines look reasonable on your chart.*
4. TP/SL Points: Set your desired profit/loss distance (e.g., TP1 = 50 points).
------------------------------------------------------------
💡 **Pro Tips**
- Trading Time: This code is smart—it checks sessions (based on GMT+7/Thai Time). It only gives signals during active markets (Sydney, Tokyo, London, NY). It stays quiet during dead hours.
- Recommended Timeframe: Since it's for Scalping, it works best on **M5, M15, or M30**.
- Money Management: Even with SL lines, always calculate your Lot Size properly. Don't overtrade!
------------------------------------------------------------
"KLS Ultimate V.1" เป็นเครื่องมือช่วยเทรด (Indicator) ที่ออกแบบมาอย่างปราณีตและซับซ้อนพอสมควร โดยเน้นไปที่ "สาย Scalping" (เทรดสั้นทำกำไรเร็ว) โดยเฉพาะ
🚀 เจาะลึกการทำงาน: ระบบกรอง 3 ชั้น (The 3-Level Logic)
อินดิเคเตอร์ตัวนี้ไม่ได้ใช้แค่เครื่องมือเดียวตัดสินใจ แต่มันเอาอินดิเคเตอร์หลายตัวมา "คอนเฟิร์ม" กันก่อนจะบอกให้คุณ Buy หรือ Sell ครับ
🎯 Level 1: ตัวคุมเทรนด์หลัก (Core Indicators)
นี่คือด่านแรก ถ้าไม่ผ่านด่านนี้ จะไม่มีสัญญาณเกิดขึ้น
- EMA (เส้นค่าเฉลี่ย): เช็คว่าราคายืนเหนือเส้นเทรนด์ไหม? (ขาขึ้นต้องยืนเหนือ, ขาลงต้องอยู่ใต้)
- MACD (โมเมนตัม): ดูแรงส่งของกราฟ และดู Histogram ว่ามีแรงซื้อ/ขาย เข้ามาจริงไหม
- ADX: วัดความแข็งแรงของเทรนด์ (ถ้าตลาดไซด์เวย์น่าเบื่อๆ ADX ต่ำๆ มันจะไม่เทรด)
🔥 Level 2: จุดกลับตัว (Momentum Indicators) ด่านที่สอง หาจังหวะเข้าที่ได้เปรียบ
- RSI: ดูว่าราคาถูกเกินไป (Oversold) หรือแพงเกินไป (Overbought) หรือยัง
- Stochastic: หาจุดตัดเพื่อยืนยันจุดกลับตัวระยะสั้น
⭐ Level 3: ตัวบูสต์สัญญาณ (Boost Indicators - สำหรับโหมด Strict)
ด่านพิเศษ สำหรับคนที่ต้องการความชัวร์ระดับสูง (เปิดใช้ได้ในตั้งค่า)
- RSI Divergence: หาสัญญาณขัดแย้งระหว่างราคากับ RSI (เช่น ราคาลงแต่ RSI ยกขึ้น = เตรียมพุ่ง)
- Price Action: ดูรูปแบบแท่งเทียนว่ามีแรงซื้อ/ขาย ชนะขาดลอยหรือไม่
------------------------------------------------------------
🎮 คู่มือการใช้งาน (User Guide)
เมื่อคุณแปะโค้ดนี้ลงใน TradingView แล้ว สิ่งที่คุณจะเห็นและการใช้งานมีดังนี้ครับ:
A. สัญญาณเข้าออเดอร์ (Entry Signals)
🟢 ป้าย BUY (สีเขียว): จะโผล่ใต้แท่งเทียน
แปลว่า: เทรนด์เป็นขาขึ้น + โมเมนตัมมา + ผ่านเงื่อนไขกรองต่างๆ แล้ว
🔴 ป้าย SELL (สีแดง): จะโผล่เหนือแท่งเทียน
แปลว่า: เทรนด์เป็นขาลง + แรงขายมา + ผ่านเงื่อนไขกรองต่างๆ แล้ว
B. เส้นเป้าหมายกำไร/ขาดทุน (TP/SL Lines)
ระบบคำนวณให้อัตโนมัติ ไม่ต้องนั่งวัดเอง!
- เส้นสีน้ำเงิน: จุดเข้า (Entry)
- เส้นสีเขียวอ่อน (TP1, TP2): เป้าทำกำไรระยะใกล้
เส้นสีเขียวเข้ม (TP3): เป้าทำกำไรระยะไกล
เส้นสีแดง (SL): จุดยอมแพ้ (Stop Loss)
C. โหมดพิเศษ: Strict Filter (โหมดเข้มงวด)
- ค่าปกติ (False): ใช้แค่ Level 1 + Level 2 ก็เกิดสัญญาณแล้ว (สัญญาณเยอะหน่อย)
- ถ้าเปิดใช้ (True): ต้องผ่าน Level 1 + 2 + 3 ถึงจะเกิดสัญญาณ (สัญญาณน้อย แต่แม่นยำสูงมาก)
------------------------------------------------------------
🛠️ วิธีตั้งค่าและปรับแต่ง (Settings)
ในหน้าตั้งค่า (รูปเฟือง) คุณสามารถปรับจูนได้ตามใจชอบ:
1. Show BUY/SELL Signals: ติ๊กออกถ้าไม่อยากเห็นป้ายสัญญาณ
2. Use Strict Filter: ติ๊กถูกถ้าอยากได้สัญญาณแม่นๆ (แต่รอนานหน่อย)
3. Point Size: สำคัญมาก! ใช้กำหนดระยะ TP/SL
- ถ้าเทรดทอง (XAUUSD) ตั้งค่าพื้นฐาน 0.01 เท่านั้น
- ถ้าเทรดคู่เงิน (Forex) อาจจะปรับเป็น 0.0001
- แนะนำให้ลองปรับจนเส้น TP/SL บนกราฟดูสมเหตุสมผล
4. TP/SL Points: กำหนดระยะจุดกำไรขาดทุนที่ต้องการ (เช่น TP1 = 50 จุด)
------------------------------------------------------------
💡 คำแนะนำเพิ่มเติม (Tips)
- เวลาเทรด: โค้ดนี้ฉลาดมาก มันมีการเช็คเวลา (Session) ให้ด้วย โดยอิงเวลา GMT+7 (เวลาไทย) โดยจะเทรดเฉพาะช่วงที่มีตลาดหลักเปิด (Sydney, Tokyo, London, NY) ช่วงตลาดวายดึกๆ หรือเช้ามืดเงียบๆ มันจะไม่บอกสัญญาณ
- Timeframe ที่แนะนำ: เนื่องจากเขียนมาเพื่อ Scalping แนะนำให้ใช้กับ M5, M15 หรือ M30 จะเห็นผลดีที่สุดครับ
- การบริหารเงิน (MM): แม้ระบบจะมี SL ให้ แต่คุณควรคำนวณ Lot Size ให้เหมาะสม ไม่ควร Overtrade ครับ
Mars Signals - Ultimate Institutional Suite v3.0(Joker)Comprehensive Trading Manual
Mars Signals – Ultimate Institutional Suite v3.0 (Joker)
## Chapter 1 – Philosophy & System Architecture
This script is not a simple “buy/sell” indicator.
Mars Signals – UIS v3.0 (Joker) is designed as an institutional-style analytical assistant that layers several methodologies into a single, coherent framework.
The system is built on four core pillars:
1. Smart Money Concepts (SMC)
- Detection of Order Blocks (professional demand/supply zones).
- Detection of Fair Value Gaps (FVGs) (price imbalances).
2. Smart DCA Strategy
- Combination of RSI and Bollinger Bands
- Identifies statistically discounted zones for scaling into spot positions or exiting shorts.
3. Volume Profile (Visible Range Simulation)
- Distribution of volume by price, not by time.
- Identification of POC (Point of Control) and high-/low-volume areas.
4. Wyckoff Helper – Spring
- Detection of bear traps, liquidity grabs, and sharp bullish reversals.
All four pillars feed into a Confluence Engine (Scoring System).
The final output is presented in the Dashboard, with a clear, human-readable signal:
- STRONG LONG 🚀
- WEAK LONG ↗
- NEUTRAL / WAIT
- WEAK SHORT ↘
- STRONG SHORT 🩸
This allows the trader to see *how many* and *which* layers of the system support a bullish or bearish bias at any given time.
## Chapter 2 – Settings Overview
### 2.1 General & Dashboard Group
- Show Dashboard Panel (`show_dash`)
Turns the dashboard table in the corner of the chart ON/OFF.
- Show Signal Recommendation (`show_rec`)
- If enabled, the textual signal (STRONG LONG, WEAK SHORT, etc.) is displayed.
- If disabled, you only see feature status (ON/OFF) and the current price.
- Dashboard Position (`dash_pos`)
Determines where the dashboard appears on the chart:
- `Top Right`
- `Bottom Right`
- `Top Left`
### 2.2 Smart Money (SMC) Group
- Enable SMC Strategy (`show_smc`)
Globally enables or disables the Order Block and FVG logic.
- Order Block Pivot Lookback (`ob_period`)
Main parameter for detecting key pivot highs/lows (swing points).
- Default value: 5
- Concept:
A bar is considered a pivot low if its low is lower than the lows of the previous 5 and the next 5 bars.
Similarly, a pivot high has a high higher than the previous 5 and the next 5 bars.
These pivots are used as anchors for Order Blocks.
- Increasing `ob_period`:
- Fewer levels.
- But levels tend to be more significant and reliable.
- In highly volatile markets (major news, war events, FOMC, etc.),
using values 7–10 is recommended to filter out weak levels.
- Show Fair Value Gaps (`show_fvg`)
Enables/disables the drawing of FVG zones (imbalances).
- Bullish OB Color (`c_ob_bull`)
- Color of Bullish Order Blocks (Demand Zones).
- Default: semi-transparent green (transparency ≈ 80).
- Bearish OB Color (`c_ob_bear`)
- Color of Bearish Order Blocks (Supply Zones).
- Default: semi-transparent red.
- Bullish FVG Color (`c_fvg_bull`)
- Color of Bullish FVG (upward imbalance), typically yellow.
- Bearish FVG Color (`c_fvg_bear`)
- Color of Bearish FVG (downward imbalance), typically purple.
### 2.3 Smart DCA Strategy Group
- Enable DCA Zones (`show_dca`)
Enables the Smart DCA logic and visual labels.
- RSI Length (`rsi_len`)
Lookback period for RSI (default: 14).
- Shorter → more sensitive, more noise.
- Longer → fewer signals, higher reliability.
- Bollinger Bands Length (`bb_len`)
Moving average period for Bollinger Bands (default: 20).
- BB Multiplier (`bb_mult`)
Standard deviation multiplier for Bollinger Bands (default: 2.0).
- For extremely volatile markets, values like 2.5–3.0 can be used so that only extreme deviations trigger a DCA signal.
### 2.4 Volume Profile (Visible Range Sim) Group
- Show Volume Profile (`show_vp`)
Enables the simulated Volume Profile bars on the right side of the chart.
- Volume Lookback Bars (`vp_lookback`)
Number of bars used to compute the Volume Profile (default: 150).
- Higher values → broader historical context, heavier computation.
- Row Count (`vp_rows`)
Number of vertical price segments (rows) to divide the total price range into (default: 30).
- Width (%) (`vp_width`)
Relative width of each volume bar as a percentage.
In the code, bar widths are scaled relative to the row with the maximum volume.
> Technical note: Volume Profile calculations are executed only on the last bar (`barstate.islast`) to keep the script performant even on higher timeframes.
### 2.5 Wyckoff Helper Group
- Show Wyckoff Events (`show_wyc`)
Enables detection and plotting of Wyckoff Spring events.
- Volume MA Length (`vol_ma_len`)
Length of the moving average on volume.
A bar is considered to have Ultra Volume if its volume is more than 2× the volume MA.
## Chapter 3 – Smart Money Strategy (Order Blocks & FVG)
### 3.1 What Is an Order Block?
An Order Block (OB) represents the footprint of large institutional orders:
- Bullish Order Block (Demand Zone)
The last selling region (bearish candle/cluster) before a strong upward move.
- Bearish Order Block (Supply Zone)
The last buying region (bullish candle/cluster) before a strong downward move.
Institutions and large players place heavy orders in these regions. Typical price behavior:
- Price moves away from the zone.
- Later returns to the same zone to fill unfilled orders.
- Then continues the larger trend.
In the script:
- If `pl` (pivot low) forms → a Bullish OB is created.
- If `ph` (pivot high) forms → a Bearish OB is created.
The box is drawn:
- From `bar_index ` to `bar_index`.
- Between `low ` and `high `.
- `extend=extend.right` extends the OB into the future, so it acts as a dynamic support/resistance zone.
- Only the last 4 OB boxes are kept to avoid clutter.
### 3.2 Order Block Color Guide
- Semi-transparent Green (`c_ob_bull`)
- Represents a Bullish Order Block (Demand Zone).
- Interpretation: a price region with a high probability of bullish reaction.
- Semi-transparent Red (`c_ob_bear`)
- Represents a Bearish Order Block (Supply Zone).
- Interpretation: a price region with a high probability of bearish reaction.
Overlap (Multiple OBs in the Same Area)
When two or more Order Blocks overlap:
- The shared area appears visually denser/stronger.
- This suggests higher order density.
- Such zones can be treated as high-priority levels for entries, exits, and stop-loss placement.
### 3.3 Demand/Supply Logic in the Scoring Engine
is_in_demand = low <= ta.lowest(low, 20)
is_in_supply = high >= ta.highest(high, 20)
- If current price is near the lowest lows of the last 20 bars, it is considered in a Demand Zone → positive impact on score.
- If current price is near the highest highs of the last 20 bars, it is considered in a Supply Zone → negative impact on score.
This logic complements Order Blocks and helps the Dashboard distinguish whether:
- Market is currently in a statistically cheap (long-friendly) area, or
- In a statistically expensive (short-friendly) area.
### 3.4 Fair Value Gaps (FVG)
#### Concept
When the market moves aggressively:
- Some price levels are skipped and never traded.
- A gap between wicks/shadows of consecutive candles appears.
- These regions are called Fair Value Gaps (FVGs) or Imbalances.
The market generally “dislikes” imbalance and often:
- Returns to these zones in the future.
- Fills the gap (rebalance).
- Then resumes its dominant direction.
#### Implementation in the Code
Bullish FVG (Yellow)
fvg_bull_cond = show_smc and show_fvg and low > high and close > high
if fvg_bull_cond
box.new(bar_index , high , bar_index, low, ...)
Core condition:
`low > high ` → the current low is above the high of two bars ago; the space between them is an untraded gap.
Bearish FVG (Purple)
fvg_bear_cond = show_smc and show_fvg and high < low and close < low
if fvg_bear_cond
box.new(bar_index , low , bar_index, high, ...)
Core condition:
`high < low ` → the current high is below the low of two bars ago; again a price gap exists.
#### FVG Color Guide
- Transparent Yellow (`c_fvg_bull`) – Bullish FVG
Often acts like a magnet for price:
- Price tends to retrace into this zone,
- Fill the imbalance,
- And then continue higher.
- Transparent Purple (`c_fvg_bear`) – Bearish FVG
Price tends to:
- Retrace upward into the purple area,
- Fill the imbalance,
- And then resume downward movement.
#### Trading with FVGs
- FVGs are *not* standalone entry signals.
They are best used as:
- Targets (take-profit zones), or
- Reaction areas where you expect a pause or reversal.
Examples:
- If you are long, a bearish FVG above is often an excellent take-profit zone.
- If you are short, a bullish FVG below is often a good cover/exit zone.
### 3.5 Core SMC Trading Templates
#### Reversal Long
1. Price trades down into a green Order Block (Demand Zone).
2. A bullish confirmation candle (Close > Open) forms inside or just above the OB.
3. If this zone is close to or aligned with a bullish FVG (yellow), the signal is reinforced.
4. Entry:
- At the close of the confirmation candle, or
- Using a limit order near the upper boundary of the OB.
5. Stop-loss:
- Slightly below the OB.
- If the OB is broken decisively and price consolidates below it, the zone loses validity.
6. Targets:
- The next FVG,
- Or the next red Order Block (Supply Zone) above.
#### Reversal Short
The mirror scenario:
- Price rallies into a red Order Block (Supply).
- A bearish confirmation candle forms (Close < Open).
- FVG/premium structure above can act as a confluence.
- Stop-loss goes above the OB.
- Targets: lower FVGs or subsequent green OBs below.
## Chapter 4 – Smart DCA Strategy (RSI + Bollinger Bands)
### 4.1 Smart DCA Concept
- Classic DCA = buying at fixed time intervals regardless of price.
- Smart DCA = scaling in only when:
- Price is statistically cheaper than usual, and
- The market is in a clear oversold condition.
Code logic:
rsi_val = ta.rsi(close, rsi_len)
= ta.bb(close, bb_len, bb_mult)
dca_buy = show_dca and rsi_val < 30 and close < bb_lower
dca_sell = show_dca and rsi_val > 70 and close > bb_upper
Conditions:
- DCA Buy – Smart Scale-In Zone
- RSI < 30 → oversold.
- Close < lower Bollinger Band → price has broken below its typical volatility envelope.
- DCA Sell – Overbought/Distribution Zone
- RSI > 70 → overbought.
- Close > upper Bollinger Band → price is extended far above the mean.
### 4.2 Visual Representation on the Chart
- Green “DCA” Label Below Candle
- Shape: `labelup`.
- Color: lime background, white text.
- Meaning: statistically attractive level for laddered spot entries or short exits.
- Red “SELL” Label Above Candle
- Warning that the market is in an extended, overbought condition.
- Suitable for profit-taking on longs or considering short entries (with proper confluence and risk management).
- Light Green Background (`bgcolor`)
- When `dca_buy` is true, the candle background turns very light green (high transparency).
- This helps visually identify DCA Zones across the chart at a glance.
### 4.3 Practical Use in Trading
#### Spot Trading
Used to build a better average entry price:
- Every time a DCA label appears, allocate a fixed portion of capital (e.g., 2–5%).
- Combining DCA signals with:
- Green OBs (Demand Zones), and/or
- The Volume Profile POC
makes the zone structurally more important.
#### Futures Trading
- Longs
- Use DCA Buy signals as low-risk zones for opening or adding to longs when:
- Price is inside a green OB, or
- The Dashboard already leans LONG.
- Shorts
- Use DCA Sell signals as:
- Exit zones for longs, or
- Areas to initiate shorts with stops above structural highs.
## Chapter 5 – Volume Profile (Visible Range Simulation)
### 5.1 Concept
Traditional volume (histogram under the chart) shows volume over time.
Volume Profile shows volume by price level:
- At which prices has the highest trading activity occurred?
- Where did buyers and sellers agree the most (High Volume Nodes – HVNs)?
- Where did price move quickly due to low participation (Low Volume Nodes – LVNs)?
### 5.2 Implementation in the Script
Executed only when `show_vp` is enabled and on the last bar:
1. The last `vp_lookback` bars (default 150) are processed.
2. The minimum low and maximum high over this window define the price range.
3. This price range is divided into `vp_rows` segments (e.g., 30 rows).
4. For each row:
- All bars are scanned.
- If the mid-price `(high + low ) / 2` falls inside a row, that bar’s volume is added to the row total.
5. The row with the greatest volume is stored as `max_vol_idx` (the POC row).
6. For each row, a volume box is drawn on the right side of the chart.
### 5.3 Color Scheme
- Semi-transparent Orange
- The row with the maximum volume – the Point of Control (POC).
- Represents the strongest support/resistance level from a volume perspective.
- Semi-transparent Blue
- Other volume rows.
- The taller the bar → the higher the volume → the stronger the interest at that price band.
### 5.4 Trading Applications
- If price is above POC and retraces back into it:
→ POC often acts as support, suitable for long setups.
- If price is below POC and rallies into it:
→ POC often acts as resistance, suitable for short setups or profit-taking.
HVNs (Tall Blue Bars)
- Represent areas of equilibrium where the market has spent time and traded heavily.
- Price tends to consolidate here before choosing a direction.
LVNs (Short or Nearly Empty Bars)
- Represent low participation zones.
- Price often moves quickly through these areas – useful for targeting fast moves.
## Chapter 6 – Wyckoff Helper – Spring
### 6.1 Spring Concept
In the Wyckoff framework:
- A Spring is a false break of support.
- The market briefly trades below a well-defined support level, triggers stop losses,
then sharply reverses upward as institutional buyers absorb liquidity.
This movement:
- Clears out weak hands (retail sellers).
- Provides large players with liquidity to enter long positions.
- Often initiates a new uptrend.
### 6.2 Code Logic
Conditions for a Spring:
1. The current low is lower than the lowest low of the previous 50 bars
→ apparent break of a long-standing support.
2. The bar closes bullish (Close > Open)
→ the breakdown was rejected.
3. Volume is significantly elevated:
→ `volume > 2 × volume_MA` (Ultra Volume).
When all conditions are met and `show_wyc` is enabled:
- A pink diamond is plotted below the bar,
- With the label “Spring” – one of the strongest long signals in this system.
### 6.3 Trading Use
- After a valid Spring, markets frequently enter a meaningful bullish phase.
- The highest quality setups occur when:
- The Spring forms inside a green Order Block, and
- Near or on the Volume Profile POC.
Entries:
- At the close of the Spring bar, or
- On the first pullback into the mid-range of the Spring candle.
Stop-loss:
- Slightly below the Spring’s lowest point (wick low plus a small buffer).
## Chapter 7 – Confluence Engine & Dashboard
### 7.1 Scoring Logic
For each bar, the script:
1. Resets `score` to 0.
2. Adjusts the score based on different signals.
SMC Contribution
if show_smc
if is_in_demand
score += 1
if is_in_supply
score -= 1
- Being in Demand → `+1`
- Being in Supply → `-1`
DCA Contribution
if show_dca
if dca_buy
score += 2
if dca_sell
score -= 2
- DCA Buy → `+2` (strong, statistically driven long signal)
- DCA Sell → `-2`
Wyckoff Spring Contribution
if show_wyc
if wyc_spring
score += 2
- Spring → `+2` (entry of strong money)
### 7.2 Mapping Score to Dashboard Signal
- score ≥ 2 → STRONG LONG 🚀
Multiple bullish conditions aligned.
- score = 1 → WEAK LONG ↗
Some bullish bias, but only one layer clearly positive.
- score = 0 → NEUTRAL / WAIT
Rough balance between buying and selling forces; staying flat is usually preferable.
- score = -1 → WEAK SHORT ↘
Mild bearish bias, suited for cautious or short-term plays.
- score ≤ -2 → STRONG SHORT 🩸
Convergence of several bearish signals.
### 7.3 Dashboard Structure
The dashboard is a two-column table:
- Row 0
- Column 0: `"Mars Signals"` – black background, white text.
- Column 1: `"UIS v3.0"` – black background, yellow text.
- Row 1
- Column 0: `"Price:"` (light grey background).
- Column 1: current closing price (`close`) with a semi-transparent blue background.
- Row 2
- Column 0: `"SMC:"`
- Column 1:
- `"ON"` (green) if `show_smc = true`
- `"OFF"` (grey) otherwise.
- Row 3
- Column 0: `"DCA:"`
- Column 1:
- `"ON"` (green) if `show_dca = true`
- `"OFF"` (grey) otherwise.
- Row 4
- Column 0: `"Signal:"`
- Column 1: signal text (`status_txt`) with background color `status_col`
(green, red, teal, maroon, etc.)
- If `show_rec = false`, these cells are cleared.
## Chapter 8 – Visual Legend (Colors, Shapes & Actions)
For quick reading inside TradingView, the visual elements are described line by line instead of a table.
Chart Element: Green Box
Color / Shape: Transparent green rectangle
Core Meaning: Bullish Order Block (Demand Zone)
Suggested Trader Response: Look for longs, Smart DCA adds, closing or reducing shorts.
Chart Element: Red Box
Color / Shape: Transparent red rectangle
Core Meaning: Bearish Order Block (Supply Zone)
Suggested Trader Response: Look for shorts, or take profit on existing longs.
Chart Element: Yellow Area
Color / Shape: Transparent yellow zone
Core Meaning: Bullish FVG / upside imbalance
Suggested Trader Response: Short take-profit zone or expected rebalance area.
Chart Element: Purple Area
Color / Shape: Transparent purple zone
Core Meaning: Bearish FVG / downside imbalance
Suggested Trader Response: Long take-profit zone or temporary supply region.
Chart Element: Green "DCA" Label
Color / Shape: Green label with white text, plotted below the candle
Core Meaning: Smart ladder-in buy zone, DCA buy opportunity
Suggested Trader Response: Spot DCA entry, partial short exit.
Chart Element: Red "SELL" Label
Color / Shape: Red label with white text, plotted above the candle
Core Meaning: Overbought / distribution zone
Suggested Trader Response: Take profit on longs, consider initiating shorts.
Chart Element: Light Green Background (bgcolor)
Color / Shape: Very transparent light-green background behind bars
Core Meaning: Active DCA Buy zone
Suggested Trader Response: Treat as a discount zone on the chart.
Chart Element: Orange Bar on Right
Color / Shape: Transparent orange horizontal bar in the volume profile
Core Meaning: POC – price with highest traded volume
Suggested Trader Response: Strong support or resistance; key reference level.
Chart Element: Blue Bars on Right
Color / Shape: Transparent blue horizontal bars in the volume profile
Core Meaning: Other volume levels, showing high-volume and low-volume nodes
Suggested Trader Response: Use to identify balance zones (HVN) and fast-move corridors (LVN).
Chart Element: Pink "Spring" Diamond
Color / Shape: Pink diamond with white text below the candle
Core Meaning: Wyckoff Spring – liquidity grab and potential major bullish reversal
Suggested Trader Response: One of the strongest long signals in the suite; look for high-quality long setups with tight risk.
Chart Element: STRONG LONG in Dashboard
Color / Shape: Green background, white text in the Signal row
Core Meaning: Multiple bullish layers in confluence
Suggested Trader Response: Consider initiating or increasing longs with strict risk management.
Chart Element: STRONG SHORT in Dashboard
Color / Shape: Red background, white text in the Signal row
Core Meaning: Multiple bearish layers in confluence
Suggested Trader Response: Consider initiating or increasing shorts with a logical, well-placed stop.
## Chapter 9 – Timeframe-Based Trading Playbook
### 9.1 Timeframe Selection
- Scalping
- Timeframes: 1M, 5M, 15M
- Objective: fast intraday moves (minutes to a few hours).
- Recommendation: focus on SMC + Wyckoff.
Smart DCA on very low timeframes may introduce excessive noise.
- Day Trading
- Timeframes: 15M, 1H, 4H
- Provides a good balance between signal quality and frequency.
- Recommendation: use the full stack – SMC + DCA + Volume Profile + Wyckoff + Dashboard.
- Swing Trading & Position Investing
- Timeframes: Daily, Weekly
- Emphasis on Smart DCA + Volume Profile.
- SMC and Wyckoff are used mainly to fine-tune swing entries within larger trends.
### 9.2 Scenario A – Scalping Long
Example: 5-Minute Chart
1. Price is declining into a green OB (Bullish Demand).
2. A candle with a long lower wick and bullish close (Pin Bar / Rejection) forms inside the OB.
3. A Spring diamond appears below the same candle → very strong confluence.
4. The Dashboard shows at least WEAK LONG ↗, ideally STRONG LONG 🚀.
5. Entry:
- On the close of the confirmation candle, or
- On the first pullback into the mid-range of that candle.
6. Stop-loss:
- Slightly below the OB.
7. Targets:
- Nearby bearish FVG above, and/or
- The next red OB.
### 9.3 Scenario B – Day-Trading Short
Recommended Timeframes: 1H or 4H
1. The market completes a strong impulsive move upward.
2. Price enters a red Order Block (Supply).
3. In the same zone, a purple FVG appears or remains unfilled.
4. On a lower timeframe (e.g., 15M), RSI enters overbought territory and a DCA Sell signal appears.
5. The main timeframe Dashboard (1H) shows WEAK SHORT ↘ or STRONG SHORT 🩸.
Trade Plan
- Open a short near the upper boundary of the red OB.
- Place the stop above the OB or above the last swing high.
- Targets:
- A yellow FVG lower on the chart, and/or
- The next green OB (Demand) below.
### 9.4 Scenario C – Swing / Investment with Smart DCA
Timeframes: Daily / Weekly
1. On the daily or weekly chart, each time a green “DCA” label appears:
- Allocate a fixed fraction of your capital (e.g., 3–5%) to that asset.
2. Check whether this DCA zone aligns with the orange POC of the Volume Profile:
- If yes → the quality of the entry zone is significantly higher.
3. If the DCA signal sits inside a daily green OB, the probability of a medium-term bottom increases.
4. Always build the position laddered, never all-in at a single price.
Exits for investors:
- Near weekly red OBs or large purple FVG zones.
- Ideally via partial profit-taking rather than closing 100% at once.
### 9.5 Case Study 1 – BTCUSDT (15-Minute)
- Context: Price has sold off down towards 65,000 USD.
- A green OB had previously formed at that level.
- Near the lower boundary of this OB, a partially filled yellow FVG is present.
- As price returns to this region, a Spring appears.
- The Dashboard shifts from NEUTRAL / WAIT to WEAK LONG ↗.
Plan
- Enter a long near the OB low.
- Place stop below the Spring low.
- First target: a purple FVG around 66,200.
- Second (optional) target: the first red OB above that level.
### 9.6 Case Study 2 – Meme Coin (PEPE – 4H)
- After a strong pump, price enters a corrective phase.
- On the 4H chart, RSI drops below 30; price breaks below the lower Bollinger Band → a DCA label prints.
- The Volume Profile shows the POC at approximately the same level.
- The Dashboard displays STRONG LONG 🚀.
Plan
- Execute laddered buys in the combined DCA + POC zone.
- Place a protective stop below the last significant swing low.
- Target: an expected 20–30% upside move towards the next red OB or purple FVG.
## Chapter 10 – Risk Management, Psychology & Advanced Tuning
### 10.1 Risk Management
No signal, regardless of its strength, replaces risk control.
Recommendations:
- In futures, do not expose more than 1–3% of account equity to risk per trade.
- Adjust leverage to the volatility of the instrument (lower leverage for highly volatile altcoins).
- Place stop-losses in zones where the idea is clearly invalidated:
- Below/above the relevant Order Block or Spring, not randomly in the middle of the structure.
### 10.2 Market-Specific Parameter Tuning
- Calmer Markets (e.g., major FX pairs)
- `ob_period`: 3–5.
- `bb_mult`: 2.0 is usually sufficient.
- Highly Volatile Markets (Crypto, news-driven assets)
- `ob_period`: 7–10 to highlight only the most robust OBs.
- `bb_mult`: 2.5–3.0 so that only extreme deviations trigger DCA.
- `vol_ma_len`: increase (e.g., to ~30) so that Spring triggers only on truly exceptional
volume spikes.
### 10.3 Trading Psychology
- STRONG LONG 🚀 does not mean “risk-free”.
It means the probability of a successful long, given the model’s logic, is higher than average.
- Treat Mars Signals as a confirmation and context system, not a full replacement for your own decision-making.
- Example of disciplined thinking:
- The Dashboard prints STRONG LONG,
- But price is simultaneously testing a multi-month macro resistance or a major negative news event is imminent,
- In such cases, trade smaller, widen stops appropriately, or skip the trade.
## Chapter 11 – Technical Notes & FAQ
### 11.1 Does the Script Repaint?
- Order Blocks and Springs are based on completed pivot structures and confirmed candles.
- Until a pivot is confirmed, an OB does not exist; after confirmation, behavior is stable under classic SMC assumptions.
- The script is designed to be structurally consistent rather than repainting signals arbitrarily.
### 11.2 Computational Load of Volume Profile
- On the last bar, the script processes up to `vp_lookback` bars × `vp_rows` rows.
- On very low timeframes with heavy zooming, this can become demanding.
- If you experience performance issues:
- Reduce `vp_lookback` or `vp_rows`, or
- Temporarily disable Volume Profile (`show_vp = false`).
### 11.3 Multi-Timeframe Behavior
- This version of the script is not internally multi-timeframe.
All logic (OB, DCA, Spring, Volume Profile) is computed on the active timeframe only.
- Practical workflow:
- Analyze overall structure and key zones on higher timeframes (4H / Daily).
- Use lower timeframes (15M / 1H) with the same tool for timing entries and exits.
## Conclusion
Mars Signals – Ultimate Institutional Suite v3.0 (Joker) is a multi-layer trading framework that unifies:
- Price structure (Order Blocks & FVG),
- Statistical behavior (Smart DCA via RSI + Bollinger),
- Volume distribution by price (Volume Profile with POC, HVN, LVN),
- Liquidity events (Wyckoff Spring),
into a single, coherent system driven by a transparent Confluence Scoring Engine.
The final output is presented in clear, actionable language:
> STRONG LONG / WEAK LONG / NEUTRAL / WEAK SHORT / STRONG SHORT
The system is designed to support professional decision-making, not to replace it.
Used together with strict risk management and disciplined execution,
Mars Signals – UIS v3.0 (Joker) can serve as a central reference manual and operational guide
for your trading workflow, from scalping to swing and investment positioning.
Dobrusky Pressure CoreWhat it does & who it’s for
Dobrusky Pressure Core is a volume by time replacement for traders who care about which side actually controls each bar. Instead of just plotting total volume, it splits each bar into estimated buy vs sell pressure and overlays a custom, session-aware volume baseline. It’s built for discretionary traders who want more nuanced volume context for entries, breakouts, and pullbacks.
Core ideas
Buy/sell pressure split: Each bar’s volume is broken into estimated buying and selling pressure.
Dominant side highlighting: The dominant side (buy or sell) is always displayed starting from the bottom of the bar, so you can quickly see who “owned” that bar.
Median-based baseline: Uses the median of the last N bars (50 by default) to build a robust volume baseline that’s less sensitive to one-off spikes.
Session-aware behavior: Baseline is calculated from Regular Trading Hours (RTH) by default, with an option to include Extended Hours (ETH) and a control to force Regular data on higher timeframes.
Volume regimes: Three multipliers (1x, 1.5x, 2x by default) show normal, high, and extreme volume regions.
Flexible display: Baseline can be shown as lines or as columns behind the volume, with full color customization.
How the pressure logic works
For each bar, the script:
Adjusts the range for gaps relative to the prior close so the “true” traded range is more consistent.
Computes buy pressure as a proportion of the adjusted range from low to close.
Defines sell pressure as: total volume minus buy pressure.
Marks the bar as buy-dominant if buy pressure ≥ sell pressure, otherwise sell-dominant, and colors the dominant side from the bottom to at least the midpoint using the selected buy/sell colors.
In practice, this turns basic volume columns into bars where the internal split and dominant side are clearly visible, helping you judge whether aggressive buyers or sellers truly controlled the bar instead of just looking at the price action.
Volume baseline & session logic
The script builds a session-aware baseline from recent volume:
Baseline length: A rolling window (default 50 bars) is used to compute a median volume value instead of a simple moving average.
RTH-only by default: By default, the baseline is built from Regular Trading Hours bars only. During extended hours, the baseline effectively “freezes” at the last RTH-derived value unless you choose to include extended session data.
Extended mode: If you select Extended mode, the script builds separate rolling baselines for RTH and ETH trading, using the appropriate one depending on the current session.
Force Regular Above Timeframe: On timeframes equal to or higher than your chosen threshold, the baseline automatically uses Regular session data, even if Extended is selected.
Multipliers: Three adjustable multipliers (1x, 1.5x, 2x by default) create normal, high, and extreme volume bands for quick identification.
This lets you choose whether you want a pure RTH reference or a baseline that adapts to extended-session activity.
Example ways to use it
1. Replace standard volume bars
Add Dobrusky Pressure Core to your volume pane and hide the default volume if you prefer a clean look.
Use the colors and split to see at a glance whether buyers or sellers were dominant on each bar.
2. Pressure confirmation for entries
For longs (example concept; adapt to your own rules):
Require that the entry bar’s buy pressure is greater than the previous bar’s sell pressure , or
If the entry and prior bar are both buy-dominant, require that the entry bar has more buy pressure than the prior bar.
This helps avoid taking a long when buying pressure is clearly fading relative to what sellers recently showed. A mirrored idea can be used for short setups with sell pressure.
3. Context from baseline multipliers
Use ~1x baseline as “normal” volume.
Watch for bars at or above 1.5x baseline when you want to see increased participation.
Treat 2x baseline and above as “extreme” volume zones that may mark climactic or especially important bars.
In practice, the baseline and multipliers are best used as context and filters, not as rigid rules.
Settings overview
Display
- Show Volume Baseline: toggle the baseline and its levels on or off.
- Baseline Display: choose between Line or Bars for the baseline visualization.
Baseline Calculation
- Length: lookback for the median baseline (default 50, configurable).
- Baseline Session Data: choose Regular or Extended to control which session data feeds the baseline.
Session Controls
- Regular Session (Local to TZ): define your RTH window (e.g., 0930-1600).
- Session Time Zone: choose the time zone used for that window.
- Force Regular Above Timeframe: on higher timeframes, force the baseline to use Regular session data only.
Baseline Levels
- Show Level x Multiplier 1/2/3: toggle each volume regime level.
- Multiplier 1/2/3: define what you consider normal, high, and extreme volume (defaults: 1.0, 1.5, 2.0).
Colors
- Buy Volume / Sell Volume: choose colors for buy and sell pressure.
- Baseline Bars (Base / x2 / x3): colors when the baseline is drawn as columns.
- Baseline Line (Base / x2 / x3): colors when the baseline is drawn as lines.
Limitations & best practices
This is a decision-support and visualization tool, not a buy/sell signal generator.
Best suited to markets where volume data is meaningful (e.g., index futures, liquid equities, liquid crypto).
The usefulness of any volume-based metric depends on the underlying data feed and instrument structure.
Always combine pressure and baseline context with your own strategy, risk management, and testing.
Originality
Most volume tools either show total volume only or compare it to a simple moving average. Dobrusky Pressure Core combines:
An intrabar buy/sell pressure split based on a gap-adjusted price range.
A median-based, configurable baseline built from session-specific data.
Session-aware behavior that keeps the baseline focused on Regular hours by default, with the option to incorporate Extended hours and force Regular data on higher timeframes.
The goal is to give traders a richer, session-aware view of participation and pressure that standard volume bars and simple SMA overlays don’t provide, while keeping everything transparent and open-source so users can review and adapt the logic.
XAUUSD Sniper Setup (Pre-Arrows + SL/TP)//@version=5
indicator("XAUUSD Sniper Setup (Pre-Arrows + SL/TP)", overlay=true)
// === Inputs ===
rangePeriod = input.int(20, "Lookback Bars for Zone", minval=5)
maxRangePercent = input.float(0.08, "Max Range % for Consolidation", step=0.01)
tpMultiplier = input.float(1.5, "TP Multiplier")
slMultiplier = input.float(1.0, "SL Multiplier")
// === Consolidation Detection ===
highestPrice = ta.highest(high, rangePeriod)
lowestPrice = ta.lowest(low, rangePeriod)
priceRange = highestPrice - lowestPrice
percentRange = (priceRange / close) * 100
isConsolidation = percentRange < maxRangePercent
// === Zones ===
demandZone = lowestPrice
supplyZone = highestPrice
// === Plot Consolidation Zone Background ===
bgcolor(isConsolidation ? color.new(color.gray, 85) : na)
// === Plot Potential Buy/Sell Levels ===
plot(isConsolidation ? demandZone : na, color=color.green, title="Potential Buy Level", linewidth=2)
plot(isConsolidation ? supplyZone : na, color=color.red, title="Potential Sell Level", linewidth=2)
// === Liquidity Sweep ===
liquidityTakenBelow = low < demandZone
liquidityTakenAbove = high > supplyZone
// === Engulfing Candles ===
bullishEngulfing = close > open and close < open and close > open
bearishEngulfing = close < open and close > open and close < open
// === Break of Structure ===
bosUp = high > ta.highest(high , 5)
bosDown = low < ta.lowest(low , 5)
// === Sniper Entry Conditions ===
buySignal = isConsolidation and liquidityTakenBelow and bullishEngulfing and bosUp
sellSignal = isConsolidation and liquidityTakenAbove and bearishEngulfing and bosDown
// === SL & TP Levels ===
slBuy = demandZone - (priceRange * slMultiplier)
tpBuy = close + (priceRange * tpMultiplier)
slSell = supplyZone + (priceRange * slMultiplier)
tpSell = close - (priceRange * tpMultiplier)
// === PRE-ARROWS (Show Before Breakout) ===
preBuyArrow = isConsolidation ? 1 : na
preSellArrow = isConsolidation ? -1 : na
plotarrow(preBuyArrow, colorup=color.new(color.green, 50), maxheight=20, minheight=20, title="Pre-Buy Arrow")
plotarrow(preSellArrow, colordown=color.new(color.red, 50), maxheight=20, minheight=20, title="Pre-Sell Arrow")
// === SNIPER CONFIRMATION ARROWS ===
buyArrow = buySignal ? 1 : na
sellArrow = sellSignal ? -1 : na
plotarrow(buyArrow, colorup=color.green, maxheight=60, minheight=60, title="Sniper BUY Arrow")
plotarrow(sellArrow, colordown=color.red, maxheight=60, minheight=60, title="Sniper SELL Arrow")
// === BUY SIGNAL ===
if buySignal
label.new(bar_index, low, "BUY\nSL/TP Added", style=label.style_label_up, color=color.green, textcolor=color.white)
line.new(bar_index, slBuy, bar_index + 5, slBuy, color=color.red, style=line.style_dotted)
line.new(bar_index, tpBuy, bar_index + 5, tpBuy, color=color.green, style=line.style_dotted)
label.new(bar_index, slBuy, "SL", color=color.red, style=label.style_label_down)
label.new(bar_index, tpBuy, "TP", color=color.green, style=label.style_label_up)
// === SELL SIGNAL ===
if sellSignal
label.new(bar_index, high, "SELL\nSL/TP Added", style=label.style_label_down, color=color.red, textcolor=color.white)
line.new(bar_index, slSell, bar_index + 5, slSell, color=color.red, style=line.style_dotted)
line.new(bar_index, tpSell, bar_index + 5, tpSell, color=color.green, style=line.style_dotted)
label.new(bar_index, slSell, "SL", color=color.red, style=label.style_label_up)
label.new(bar_index, tpSell, "TP", color=color.green, style=label.style_label_down)
// === Alerts ===
alertcondition(buySignal, title="Sniper BUY", message="Sniper BUY setup on XAUUSD")
alertcondition(sellSignal, title="Sniper SELL", message="Sniper SELL setup on XAUUSD")
OANDA:XAUUSD
Liquidity Absorption OscillatorDescription:
The Liquidity Absorption Oscillator (LAO) is a sophisticated momentum indicator that measures how efficiently price moves relative to trading range while confirming momentum with volume-based liquidity flows. By combining price efficiency analysis with volume velocity, the LAO provides earlier and more reliable signals than traditional price-only oscillators, helping traders identify high-probability trend initiations and reversals.
🔍 Core Technology & Innovation:
Tri-Component Signal Processing:
Price Efficiency Ratio (PER): Measures how "cleanly" price moves by comparing net displacement to total trading range over the lookback period. High PER indicates trending markets with directional conviction.
Volume Velocity Ratio (VVR): Combines price momentum with volume confirmation, normalized by ATR to ensure consistent behavior across different instruments and volatility regimes.
Adaptive Smoothing: Dynamically adjusts responsiveness based on market conditions - becoming more stable during noisy periods and more responsive in clean trends.
Multi-Layer Signal Detection:
Confirmed Crossovers: Traditional zero-line crosses filtered by efficiency thresholds
Early Momentum Signals: Detects momentum shifts BEFORE zero-line crosses for optimal entry timing
Smart Divergence Detection: Identifies hidden bullish/bearish divergences with built-in quality filters
🎯 Trading Signals & Interpretation:
🟢 BULLISH SIGNALS:
Strong Buy: LAO crosses above zero line with medium/high efficiency (PER)
Early Buy: Momentum accelerates while LAO is still negative (anticipates reversal)
Divergence Buy: Price makes lower low while LAO forms higher low
🔴 BEARISH SIGNALS:
Strong Sell: LAO crosses below zero line with medium/high efficiency
Early Sell: Momentum decelerates while LAO is still positive (anticipates top)
Divergence Sell: Price makes higher high while LAO forms lower high
⚪ SIGNAL QUALITY FILTERING:
Automatic signal suppression during low-efficiency (choppy) market conditions
Configurable PER threshold ensures only high-quality signals are considered
📊 Visual Features:
Clean Oscillator Display: Smooth line plot with gradient fills above/below zero line
Multiple Coloring Options: Choose between no coloring, trend-based, or slope-based bar coloring
Professional Styling: Inspired by institutional-grade indicator design with subtle visual cues
Non-Repainting Logic: All signals confirmed on bar close for reliable backtesting
⚙️ Input Parameters:
Core Settings:
Lookback Period: Base period for efficiency and velocity calculations (default: 24)
Base Smooth Period: Starting point for adaptive smoothing (default: 8)
Min Efficiency for Signals: PER threshold for signal validation (default: 35)
Divergence Lookback: Bars to search for divergence patterns (default: 5)
UI Options:
Bar Coloring: Choose visual style (None, Trend, Slope)
🔔 Alert Conditions:
Buy/Sell Signal: Traditional zero-line crosses with quality filtering
Early Buy/Early Sell: Momentum-based signals before traditional crosses
All alerts use confirmed, non-repainting logic
Indicator Overview主力籌碼預判買賣力道 (JUMBO)Pro+ 2.0主力預判買賣力道 Pro+ 是一個先進的多維度交易分析系統，專為台灣股市投資者設計。本指標整合了趨勢、成交量、動量、價格位置和波動率五大維度，通過加權評分系統生成綜合的「Power指標」，精準預判主力資金動向。
🔧 核心技術架構
1. 多維度評分系統
趨勢維度 (30%)：雙EMA系統 + MACD + ADX趨勢強度
成交量維度 (25%)：OBV能量潮 + 成交量比率分析
動量維度 (20%)：RSI + MFI資金流量指標
價格位置維度 (20%)：VWAP + 布林通道位置分析
波動率維度 (5%)：ATR波動率調整
2. 多重確認機制
趨勢確認：EMA金叉/死叉 + 超級趨勢方向
成交量確認：成交量脈衝檢測 + OBV趨勢確認
動量確認：RSI超買超賣 + MFI資金流向
位置確認：布林通道位置 + VWAP相對位置
📊 主要功能特色
訊號系統
主力佈局訊號 🟥
趨勢多頭確認 + Power > 35
成交量放大 + 動量指標多頭
RSI未超買 + 價格突破基準
主力出貨訊號 🟩
趨勢空頭確認 + Power < -35
成交量異常 + 動量指標空頭
RSI未超賣 + 價格跌破基準
Power交叉訊號 🟠🔵
黃金交叉：Power線向上穿越Power MA線
死亡交叉：Power線向下穿越Power MA線
視覺化系統
台灣股市顏色標準：紅色上漲/多頭，綠色下跌/空頭
多層級K線著色：強力訊號→普通訊號→偏多偏空→盤整
智能資訊面板：實時顯示8大關鍵指標狀態
⚙️ 參數設定說明
主要參數
EMA週期：13/55（短期/長期）
Power閾值：35（靈敏度調整）
成交量濾波：1.2倍（異常成交量檢測）
超級趨勢：10週期/3倍數（趨勢過濾）
進階參數
布林通道：20週期/2倍標準差
波動率設定：14週期ATR
動量指標：14週期RSI/MFI
🎯 交易應用策略
進場時機
強力買入：🔥標記 + Power黃金交叉
常規買入：紅色向上箭頭 + Power > 35
確認買入：多重條件同時滿足
出場時機
強力賣出：💧標記 + Power死亡交叉
常規賣出：綠色向下箭頭 + Power < -35
風險控制：趨勢反轉 + 動量減弱
風險管理
止損設定：ATR波動率參考
倉位控制：Power數值強度分級
訊號過濾：ADX趨勢強度確認
📈 指標優勢
高準確率：多重條件過濾，減少假訊號
及時性：領先指標預判主力動向
完整性：涵蓋技術分析主要維度
用戶友好：直觀的視覺化設計
自定義：參數可調適應不同交易風格
🎯 Indicator Overview
Main Force Prediction Buying/Selling Strength Pro+ is an advanced multi-dimensional trading analysis system specifically designed for Taiwan stock market investors. This indicator integrates five key dimensions: trend, volume, momentum, price position, and volatility, generating a comprehensive "Power Indicator" through a weighted scoring system to accurately predict institutional fund movements.
🔧 Core Technical Architecture
1. Multi-Dimensional Scoring System
Trend Dimension (30%): Dual EMA system + MACD + ADX trend strength
Volume Dimension (25%): OBV accumulation + Volume ratio analysis
Momentum Dimension (20%): RSI + MFI money flow index
Price Position Dimension (20%): VWAP + Bollinger Bands position analysis
Volatility Dimension (5%): ATR volatility adjustment
2. Multi-Confirmation Mechanism
Trend Confirmation: EMA golden/death cross + SuperTrend direction
Volume Confirmation: Volume spike detection + OBV trend confirmation
Momentum Confirmation: RSI overbought/oversold + MFI money flow
Position Confirmation: Bollinger Bands position + VWAP relative position
📊 Key Features
Signal System
Institutional Accumulation Signals 🟥
Bullish trend confirmation + Power > 35
Volume expansion + Momentum indicators bullish
RSI not overbought + Price breakthrough baseline
Institutional Distribution Signals 🟩
Bearish trend confirmation + Power < -35
Abnormal volume + Momentum indicators bearish
RSI not oversold + Price breakdown below baseline
Power Cross Signals 🟠🔵
Golden Cross: Power line crosses above Power MA line
Death Cross: Power line crosses below Power MA line
Visualization System
Taiwan Market Color Standard: Red for uptrend/bullish, Green for downtrend/bearish
Multi-level Candlestick Coloring: Strong signals → Regular signals → Bias signals → Consolidation
Smart Info Panel: Real-time display of 8 key indicator statuses
⚙️ Parameter Settings
Main Parameters
EMA Periods: 13/55 (Short-term/Long-term)
Power Threshold: 35 (Sensitivity adjustment)
Volume Filter: 1.2x (Abnormal volume detection)
SuperTrend: 10 period/3 multiplier (Trend filtering)
Advanced Parameters
Bollinger Bands: 20 period/2 standard deviations
Volatility Settings: 14 period ATR
Momentum Indicators: 14 period RSI/MFI
🎯 Trading Application Strategies
Entry Timing
Strong Buy: 🔥 Mark + Power Golden Cross
Regular Buy: Red upward arrow + Power > 35
Confirmed Buy: Multiple conditions simultaneously met
Exit Timing
Strong Sell: 💧 Mark + Power Death Cross
Regular Sell: Green downward arrow + Power < -35
Risk Control: Trend reversal + Momentum weakening
Risk Management
Stop Loss Setting: ATR volatility reference
Position Sizing: Power value strength grading
Signal Filtering: ADX trend strength confirmation
📈 Indicator Advantages
High Accuracy: Multiple condition filtering reduces false signals
Timeliness: Leading indicators predict institutional movements
Completeness: Covers main dimensions of technical analysis
User-Friendly: Intuitive visualization design
Customizable: Adjustable parameters adapt to different trading styles
🔍 Professional Usage Tips
Trend Confirmation: Use in conjunction with major trend direction
Volume Validation: Ensure volume confirms price movements
Risk Management: Always use appropriate position sizing
Timeframe Analysis: Apply across multiple timeframes for confirmation
Market Context: Consider overall market conditions and sector rotation
版本: Pro+ 2.0
適用市場: 台股、亞股、全球股市
最佳時間框架: 日線、4小時線、1小時線
開發者: JUMBO Trading System
更新日期: 2025版本
Volume Profile DeltaThis indicator calculates the Volume Profile Delta (VPD). It constructs a high-resolution volume profile for each bar using intra-bar data, offering a detailed understanding of buying and selling pressure at discrete price levels.
Key Features:
Statistical Volume Profile Engine: For each bar, the indicator builds a high-resolution volume profile on a lower 'Intra-Bar Timeframe'. Instead of simple tick counting, it uses statistical models ('PDF' allocation) to distribute volume across price levels and advanced classifiers ('Dynamic' split) to determine the buy/sell pressure within that profile, providing a more nuanced delta calculation.
"Delta Candle" Visualization: The per-bar VPD is displayed as a candle, where:
Open: Always anchored at the zero line.
High/Low: Represent the peak buying (CVD High) and selling (CVD Low) pressure accumulated within that bar's profile.
Close: The final net delta value (CVD) for the bar.
Customizable Moving Average: An optional moving average of the net delta (Close) can be added. The MA type, length, and an optional Volume weighted setting are customizable.
Intra-Bar Peak Pivot Detection: Automatically identifies and plots significant turning points (pivots) in the peak buying (High) and selling (Low) pressure.
Note on Confirmation (Lag): Pivot signals are confirmed using a lookback method. A pivot is only plotted after the Pivot Right Bars input has passed, which introduces an inherent lag.
Multi-Timeframe (MTF) Capability:
MTF Output: The entire analysis (Delta Candles, MA, Pivots) can be calculated on a higher timeframe (using the Timeframe input), with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Pivot detection (Calculate Pivots) is disabled if a Higher Timeframe (HTF) is selected.
Integrated Alerts: Includes 8 alerts for:
The net delta crossing its moving average.
The detection of new peak buying or selling pivots.
Conditions of agreement or disagreement between the net delta and the main bar's direction.
Caution: Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final after the main chart bar has closed.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Cora Combined Suite v1 [JopAlgo]Cora Combined Suite v1 (CCSV1)
This is an 2 in 1 indicator (Overlay & Oscillator) the Cora Combined Suite v1 .
CCSV1 combines a price-pane Overlay for structure/trend with a compact Oscillator for timing/pressure. It’s designed to be clear, beginner-friendly, and largely automatic: you pick a profile (Scalp / Intraday / Swing), choose whether to run as Overlay or Oscillator, and CCSV1 tunes itself in the background.
What’s inside — at a glance
1) Overlay (price pane)
CoRa Wave: a smooth trend line based on a compound-ratio WMA (CRWMA).
Green when the slope rises (bull bias), Red when it falls (bear bias).
Asymmetric ATR Cloud around the CoRa Wave
Width expands more up when buyer pressure dominates and more down when seller pressure dominates.
Fill is intentionally light, so candlesticks remain readable.
Chop Guard (Range-Lock Gate)
When the cloud stays very narrow versus ATR (classic “dead water”), pullback alerts are muted to avoid noise.
Visuals don’t change—only the alerting logic goes quiet.
Typical Overlay reads
Trend: Follow the CoRa color; green favors long setups, red favors shorts.
Value: Pullbacks into/through the cloud in trend direction are higher-quality than chasing breaks far outside it.
Dominance: A visibly asymmetric cloud hints which side is funding the move (buyers vs sellers).
2) Oscillator (subpane or inline preview)
Stretch-Z (columns): how far price is from the CoRa mean (mean-reversion context), clipped to ±clip.
Near 0 = equilibrium; > +2 / < −2 = stretched/extended.
Slope-Z (line): z-score of CoRa’s slope (momentum of the trend line).
Crossing 0 upward = potential bullish impulse; downward = potential bearish impulse.
VPO (stepline): a normalized Volume-Pressure read (positive = buyers funding, negative = sellers).
Rendered as a clean stepline to emphasize state changes.
Event Bands ±2 (subpane): thin reference lines to spot extension/exhaustion zones fast.
Floor/Ceiling lines (optional): quiet boundaries so the panel doesn’t feel “bottomless.”
Inline vs Subpane
Inline (overlay): the oscillator auto-anchors and scales beneath price, so it never crushes the price scale.
Subpane (raw): move to a new pane for the classic ±clip view (with ±2 bands). Recommended for systematic use.
Why traders like it
Two in one: Structure on the chart, timing in the panel—built to complement each other.
Retail-first automation: Choose Scalp / Intraday / Swing and let CCSV1 auto-tune lengths, clips, and pressure windows.
Robust statistics: On fast, spiky markets/timeframes, it prefers outlier-resistant math automatically for steadier signals.
Optional HTF gate: You can require higher-timeframe agreement for oscillator alerts without changing visuals.
Quick start (simple playbook)
Run As
Overlay for structure: assess trend direction, where value is (the cloud), and whether chop guard is active.
Oscillator for timing: move to a subpane to see Stretch-Z, Slope-Z, VPO, and ±2 bands clearly.
Profile
Scalp (1–5m), Intraday (15–60m), or Swing (4H–1D). CCSV1 adjusts length/clip/pressure windows accordingly.
Overlay entries
Trade with CoRa color.
Prefer pullbacks into/through the cloud (trend direction).
If chop guard is active, wait; let the market “breathe” before engaging.
Oscillator timing
Look for Funded Flips: Slope-Z crossing 0 in the direction of VPO (i.e., momentum + funded pressure).
Use ±2 bands to manage risk: stretched conditions can stall or revert—better to scale or wait for a clean reset.
Optional HTF gate
Enable to green-light only those oscillator alerts that align with your chosen higher timeframe.
What each signal means (plain language)
CoRa turns green/red (Overlay): trend bias shift on your chart.
Cloud width tilts asymmetrically: one side (buyers/sellers) is dominating; extensions on that side are more likely.
Stretch-Z near 0: fair value around CoRa; pullback timing zone.
Stretch-Z > +2 / < −2: extended; watch for slowing momentum or scale decisions.
Slope-Z cross up/down: new impulse starting; combine with VPO sign to avoid unfunded crosses.
VPO positive/negative: net buying/selling pressure funding the move.
Alerts included
Overlay
Pullback Long OK
Pullback Short OK
Oscillator
Funded Flip Up / Funded Flip Down (Slope-Z crosses 0 with VPO agreement)
Pullback Long Ready / Pullback Short Ready (near equilibrium with aligned momentum and pressure)
Exhaustion Risk (Long/Short) (Stretch-Z beyond ±2 with weakening momentum or pressure)
Tip: Keep chart alerts concise and use strategy rules (TP/SL/filters) in your trade plan.
Best practices
One glance workflow
Read Overlay for direction + value.
Use Oscillator for trigger + confirmation.
Pairing
Combine with S/R or your preferred execution framework (e.g., your JopAlgo setups).
The suite is neutral: it won’t force trades; it highlights context and quality.
Markets
Works on crypto, indices, FX, and commodities.
Where real volume is available, VPO is strongest; on synthetic volume, treat VPO as a soft filter.
Timeframes
Use the Profile preset closest to your style; feel free to fine-tune later.
For multi-TF trading, enable the HTF gate on the oscillator alerts only.
Inputs you’ll actually use (the rest can stay on Auto)
Run As: Overlay or Oscillator.
Profile: Scalp / Intraday / Swing.
Oscillator Render: “Subpane (raw)” for a classic panel; “Inline (overlay)” only for a quick preview.
HTF gate (optional): require higher-timeframe Slope-Z agreement for oscillator alerts.
Everything else ships with sensible defaults and auto-logic.
Limitations & tips
Not a strategy: CCSV1 is a decision support tool; you still need your entry/exit rules and risk management.
Non-repainting design: Signals finalize on bar close; intrabar graphics can adjust during the bar (Pine standard).
Very flat sessions: If price and volume are extremely quiet, expect fewer alerts; that restraint is intentional.
Who is this for?
Beginners who want one clean overlay for structure and one simple oscillator for timing—without wrestling settings.
Intermediates seeking a coherent trend/pressure framework with HTF confirmation.
Advanced users who appreciate robust stats and clean engineering behind the visuals.
Disclaimer: Educational purposes only. Not financial advice. Trading involves risk. Use at your own discretion.
RSI +WMA+ MA + Div SETUPRSI +WMA+ MA + Div SETUP
Индикатор объединяет анализ RSI, скользящих средних RSI (EMA/WMA), дивергенций, автоматические уровни поддержки/сопротивления на RSI, «лестницу цен» для целевых уровней RSI и фильтр тренда со старшего таймфрейма (HTF).
Точки входа формируются строго в месте пересечения RSI с заданным уровнем после выполнения выбранного сетапа. Поддержан режим «без повторов до смены направления».
Что показывает
Линии RSI, EMA(9) от RSI и WMA(45) от RSI.
Фон панели: бычий/медвежий/нейтральный режим импульса RSI (по соотношению EMA и WMA и наклону WMA).
Маркеры ▲/▼ — смена фазы импульса RSI (не торговые сигналы).
Дивергенции (регулярные): Bull/Bear с метками.
Auto SnR на RSI: динамические уровни поддержки/сопротивления по экстремумам RSI.
WMA SnR points: точки ретеста WMA на RSI.
Лестница цен: оценка цены, при которой RSI достигнет выбранных уровней.
HTF-линия: WMA(45) от RSI на старшем ТФ (по желанию).
Торговые сигналы (BUY/SELL)
Сигналы строятся в окне осциллятора RSI ровно в точке кросса:
BUY: (по выбранному сетапу) + пересечение RSI↑ заданного уровня (по умолчанию 40) + (опционально) выполнен HTF-фильтр.
SELL: (по выбранному сетапу) + пересечение RSI↓ заданного уровня (по умолчанию 60) + (опционально) выполнен HTF-фильтр.
Сетапы входа (переключатель)
Setup 1: Div + Cross — требуется подтверждённая дивергенция (Bull/Bear) и кросс RSI уровня в пределах заданного «окна» баров.
Setup 2: Cross only — только кросс RSI уровня, без требования дивергенции.
HTF-фильтр тренда
Расчёт WMA(45) от RSI на настраиваемом HTF (M, H1=60, H4=240, D и т. д.).
Разрешение Лонга, если HTF_WMA45 ≥ L-уровня (например, 50).
Разрешение Шорта, если HTF_WMA45 ≤ S-уровня.
Опция «Только после закрытия HTF-свечи» исключает перерисовку фильтра до закрытия старшего бара.
Основные настройки
RSI Length, Source.
EMA Length / WMA Length (для линий на RSI).
Визуальные уровни RSI (Up/Down) и подсветка фона.
Divergence: пороги показа (RSI ≤ X / ≥ Y), метки.
Price ladder: список целевых уровней RSI и «шаг» вывода цен.
Auto SnR: три окна lookback, цвета линий.
WMA SnR: чувствительность к ретестам WMA.
Entries: выбор сетапа, окно после дивергенции, уровни для Лонга/Шорта (по умолчанию 40/60), «ставить метку по фактическому RSI», без повторов.
HTF Filter: вкл/выкл, ТФ, уровни для Лонга/Шорта, «только по закрытию», показать HTF-линию.
Алерты
BUY: HTF ok + Setup OK + RSI cross up
SELL: HTF ok + Setup OK + RSI cross down
Сообщения алертов — константные строки (совместимы с Pine).
Перерисовка
Локальные сигналы ставятся на закрытии бара кросса RSI — не перерисовываются.
Дивергенции используют pivot-логику (подтверждаются через lookback) — метка появляется после подтверждения.
HTF-фильтр без перерисовки при включённой опции «Только после закрытия HTF-свечи».
Пример использования
H1 фильтр ≥ 50, M5 Setup 1: дождитесь Bull-дивергенции на M5, затем кросса RSI↑40 в течение N баров — получите BUY.
Для входов без дивергенций выберите Setup 2.
English Description
RSI +WMA+ MA + Div SETUP
All-in-one RSI toolkit: native RSI, RSI-based EMA/WMA, divergence detection, automatic RSI Support/Resistance, price ladder (target prices for chosen RSI levels), and a configurable Higher-Timeframe (HTF) trend filter.
Entry markers are printed exactly at the RSI level cross once the selected setup conditions are met. Includes a No-Repeat option to avoid duplicate signals.
Visuals
RSI, EMA(9) of RSI, WMA(45) of RSI.
Background shading for bull/bear/neutral RSI impulse phases (EMA vs WMA and WMA slope).
▲/▼ phase-change markers (context only, not trade signals).
Regular Bull/Bear divergences with optional labels.
Auto RSI SnR lines from RSI extremes.
WMA SnR points (RSI retests of WMA).
Price ladder: estimated price to reach given RSI levels.
Optional HTF line: WMA(45) of RSI calculated on a higher timeframe.
Trade Signals (BUY/SELL)
Signals plot in the RSI pane at the cross point:
BUY: selected setup satisfied + RSI crosses up the chosen level (default 40) + optional HTF filter passes.
SELL: selected setup satisfied + RSI crosses down the chosen level (default 60) + optional HTF filter passes.
Entry Setups (selector)
Setup 1: Div + Cross — requires a confirmed Bull/Bear divergence and an RSI level cross within a user-defined bar window.
Setup 2: Cross only — RSI level cross only (no divergence required).
HTF Trend Filter
Computes WMA(45) of RSI on a configurable higher timeframe (e.g., 60=H1, 240=H4, D, etc.).
Long allowed if HTF_WMA45 ≥ Long threshold (e.g., 50).
Short allowed if HTF_WMA45 ≤ Short threshold.
“Close-only” option ensures the HTF filter updates only after the HTF bar closes (no repaint).
Key Inputs
RSI length/source; EMA/WMA lengths.
Visual RSI up/down levels & background shading.
Divergence thresholds (RSI ≤ / ≥), labels.
Price ladder: target RSI levels & label spacing.
Auto SnR: three lookback windows, colors.
WMA SnR: retest sensitivity.
Entries: setup selector, divergence window, Long/Short levels (40/60 by default), “mark at actual RSI value”, no-repeat.
HTF Filter: enable, timeframe, Long/Short thresholds, close-only, show HTF line.
Alerts
BUY: HTF ok + Setup OK + RSI cross up
SELL: HTF ok + Setup OK + RSI cross down
Alert messages are constant strings (Pine-compatible).
Repaint Notes
LTF entry signals are placed at bar close when the cross occurs — no repaint.
Divergences rely on pivots; labels plot after confirmation.
HTF filter does not repaint when Close-only is enabled.
Example
H1 filter ≥ 50, M5 Setup 1: wait for a Bull divergence on M5 and an RSI cross up 40 within N bars — you’ll get a BUY.
Choose Setup 2 for cross-only entries.
Quantum Market Harmonics [QMH]# Quantum Market Harmonics - TradingView Script Description
## 📊 OVERVIEW
Quantum Market Harmonics (QMH) is a comprehensive multi-dimensional trading indicator that combines four independent analytical frameworks to generate high-probability trading signals with quantifiable confidence scores. Unlike simple indicator combinations that display multiple tools side-by-side, QMH synthesizes temporal analysis, inter-market correlations, behavioral psychology, and statistical probabilities into a unified confidence scoring system that requires agreement across all dimensions before generating a confirmed signal.
---
## 🎯 WHAT MAKES THIS SCRIPT ORIGINAL
### The Core Innovation: Weighted Confidence Scoring
Most indicators provide binary signals (buy/sell) or display multiple indicators separately, leaving traders to interpret conflicting information. QMH's originality lies in its weighted confidence scoring system that:
1. **Combines Four Independent Methods** - Each framework (described below) operates independently and contributes points to an overall confidence score
2. **Requires Multi-Dimensional Agreement** - Signals only fire when multiple frameworks align, dramatically reducing false positives
3. **Quantifies Signal Strength** - Every signal includes a numerical confidence rating (0-100%), allowing traders to filter by quality
4. **Adapts to Market Conditions** - Different market regimes activate different component combinations
### Why This Combination is Useful
Traditional approaches suffer from:
- **Single-dimension bias**: RSI shows oversold, but trend is still down
- **Conflicting signals**: MACD says buy, but volume is weak
- **No prioritization**: All signals treated equally regardless of strength
QMH solves these problems by requiring multiple independent confirmations and weighting each component's contribution to the final signal. This multi-dimensional approach mirrors how professional traders analyze markets - not relying on one indicator, but waiting for multiple pieces of evidence to align.
---
## 🔬 THE FOUR ANALYTICAL FRAMEWORKS
### 1. Temporal Fractal Resonance (TFR)
**What It Does:**
Analyzes trend alignment across four different timeframes simultaneously (15-minute, 1-hour, 4-hour, and daily) to identify periods of multi-timeframe synchronization.
**How It Works:**
- Uses `request.security()` with `lookahead=barmerge.lookahead_off` to retrieve confirmed price data from each timeframe
- Calculates "fractal strength" for each timeframe using this formula:
```
Fractal Strength = (Rate of Change / Standard Deviation) × 100
```
This creates a momentum-to-volatility ratio that measures trend strength relative to noise
- Computes a Resonance Index when all four timeframes show the same directional bias
- The index averages the absolute strength values when all timeframes align
**Why This Method:**
Fractal Market Hypothesis suggests that price patterns repeat across different time scales. When trends align from short-term (15m) to long-term (Daily), the probability of trend continuation increases substantially. The momentum/volatility ratio filters out low-conviction moves where volatility dominates direction.
**Contribution to Confidence Score:**
- TFR Bullish = +25 points
- TFR Bearish = +25 points (to bearish confidence)
- No alignment = 0 points
---
### 2. Cross-Asset Quantum Entanglement (CAQE)
**What It Does:**
Analyzes correlation patterns between the current asset and three reference markets (Bitcoin, US Dollar Index, and Volatility Index) to identify both normal correlation behavior and anomalous breakdowns that often precede significant moves.
**How It Works:**
- Retrieves price data from BTC (BINANCE:BTCUSDT), DXY (TVC:DXY), and VIX (TVC:VIX) using confirmed bars
- Calculates Pearson correlation coefficient between the main asset and each reference:
```
Correlation = Covariance(X,Y) / (StdDev(X) × StdDev(Y))
```
- Computes an Intermarket Pressure Index by weighting each reference asset's momentum by its correlation strength:
```
Pressure = (Corr₁ × ROC₁ + Corr₂ × ROC₂ + Corr₃ × ROC₃) / 3
```
- Detects "correlation breakdowns" when average correlation drops below 0.3
**Why This Method:**
Markets don't operate in isolation. Inter-market analysis (developed by John Murphy) recognizes that:
- Crypto assets often correlate with Bitcoin
- Risk assets inversely correlate with VIX (fear gauge)
- Dollar strength affects commodity and crypto prices
When these normal correlations break down, it signals potential regime changes. The term "quantum" reflects the interconnected nature of these relationships - like quantum entanglement where distant particles influence each other.
**Contribution to Confidence Score:**
- CAQE Bullish (positive pressure, stable correlations) = +25 points
- CAQE Bearish (negative pressure, stable correlations) = +25 points (to bearish)
- Correlation breakdown = Warning marker (potential reversal zone)
---
### 3. Adaptive Market Psychology Matrix (AMPM)
**What It Does:**
Classifies the current market emotional state into six distinct categories by analyzing the interaction between momentum (RSI), volume behavior, and volatility acceleration (ATR change).
**How It Works:**
The system evaluates three metrics:
1. **RSI (14-period)**: Measures overbought/oversold conditions
2. **Volume Analysis**: Compares current volume to 20-period average
3. **ATR Rate of Change**: Detects volatility acceleration
Based on these inputs, the market is classified into:
- **Euphoria**: RSI > 80, volume spike present, volatility rising (extreme bullish emotion)
- **Greed**: RSI > 70, normal volume (moderate bullish emotion)
- **Neutral**: RSI 40-60, declining volatility (balanced state)
- **Fear**: RSI 40-60, low volatility (uncertainty without panic)
- **Panic**: RSI < 30, volume spike present, volatility rising (extreme bearish emotion)
- **Despair**: RSI < 20, normal volume (capitulation phase)
**Why This Method:**
Behavioral finance principles (Kahneman, Tversky) show that markets follow predictable emotional cycles. Extreme psychological states often mark reversal points because:
- At Euphoria/Greed peaks, everyone bullish has already bought (no buyers left)
- At Panic/Despair bottoms, everyone bearish has already sold (no sellers left)
AMPM provides contrarian signals at these extremes while respecting trends during Fear and Greed intermediate states.
**Contribution to Confidence Score:**
- Psychology Bullish (Panic/Despair + RSI < 35) = +15 points
- Psychology Bearish (Euphoria/Greed + RSI > 65) = +15 points
- Neutral states = 0 points
---
### 4. Time-Decay Probability Zones (TDPZ)
**What It Does:**
Creates dynamic support and resistance zones based on statistical probability distributions that adapt to changing market volatility, similar to Bollinger Bands but with enhancements for trend environments.
**How It Works:**
- Calculates a 20-period Simple Moving Average as the basis line
- Computes standard deviation of price over the same period
- Creates four probability zones:
- **Extreme Upper**: Basis + 2.5 standard deviations (≈99% probability boundary)
- **Upper Zone**: Basis + 1.5 standard deviations
- **Lower Zone**: Basis - 1.5 standard deviations
- **Extreme Lower**: Basis - 2.5 standard deviations (≈99% probability boundary)
- Dynamically adjusts zone width based on ATR (Average True Range):
```
Adjusted Upper = Upper Zone + (ATR × adjustment_factor)
Adjusted Lower = Lower Zone - (ATR × adjustment_factor)
```
- The adjustment factor increases during high volatility, widening the zones
**Why This Method:**
Traditional support/resistance levels are static and don't account for volatility regimes. TDPZ zones are probability-based and mean-reverting:
- Price has ≈99% probability of staying within extreme zones in normal conditions
- Touches to extreme zones represent statistical outliers (high-probability reversal opportunities)
- Zone expansion/contraction reflects volatility regime changes
- ATR adjustment prevents false signals during unusual volatility
The "time-decay" concept refers to mean reversion - the further price moves from the basis, the higher the probability of eventual return.
**Contribution to Confidence Score:**
- Price in Lower Extreme Zone = +15 points (bullish reversal probability)
- Price in Upper Extreme Zone = +15 points (bearish reversal probability)
- Price near basis = 0 points
---
## 🎯 HOW THE CONFIDENCE SCORING SYSTEM WORKS
### Signal Generation Formula
QMH calculates separate Bullish and Bearish confidence scores each bar:
**Bullish Confidence (0-100%):**
```
Base Score: 20 points
+ TFR Bullish: 25 points (if all 4 timeframes aligned bullish)
+ CAQE Bullish: 25 points (if intermarket pressure positive)
+ AMPM Bullish: 15 points (if Panic/Despair contrarian signal)
+ TDPZ Bullish: 15 points (if price in lower probability zones)
─────────
Maximum Possible: 100 points
```
**Bearish Confidence (0-100%):**
```
Base Score: 20 points
+ TFR Bearish: 25 points (if all 4 timeframes aligned bearish)
+ CAQE Bearish: 25 points (if intermarket pressure negative)
+ AMPM Bearish: 15 points (if Euphoria/Greed contrarian signal)
+ TDPZ Bearish: 15 points (if price in upper probability zones)
─────────
Maximum Possible: 100 points
```
### Confirmed Signal Requirements
A **QBUY** (Quantum Buy) signal generates when:
1. Bullish Confidence ≥ User-defined threshold (default 60%)
2. Bullish Confidence > Bearish Confidence
3. No active sell signal present
A **QSELL** (Quantum Sell) signal generates when:
1. Bearish Confidence ≥ User-defined threshold (default 60%)
2. Bearish Confidence > Bullish Confidence
3. No active buy signal present
### Why This Approach Is Different
**Example Comparison:**
Traditional RSI Strategy:
- RSI < 30 → Buy signal
- Result: May buy into falling knife if trend remains bearish
QMH Approach:
- RSI < 30 → Psychology shows Panic (+15 points)
- But requires additional confirmation:
- Are all timeframes also showing bullish reversal? (+25 points)
- Is intermarket pressure turning positive? (+25 points)
- Is price at a statistical extreme? (+15 points)
- Only when total ≥ 60 points does a QBUY signal fire
This multi-layer confirmation dramatically reduces false signals while maintaining sensitivity to genuine opportunities.
---
## 🚫 NO REPAINT GUARANTEE
**QMH is designed to be 100% repaint-free**, which is critical for honest backtesting and reliable live trading.
### Technical Implementation:
1. **All Multi-Timeframe Data Uses Confirmed Bars**
```pinescript
tf1_close = request.security(syminfo.tickerid, "15", close , lookahead=barmerge.lookahead_off)
```
Using `close ` instead of `close ` ensures we only reference the previous confirmed bar, not the current forming bar.
2. **Lookahead Prevention**
```pinescript
lookahead=barmerge.lookahead_off
```
This parameter prevents the function from accessing future data that wouldn't be available in real-time.
3. **Signal Timing**
Signals appear on the bar AFTER all conditions are met, not retroactively on the bar where conditions first appeared.
### What This Means for Users:
- **Backtest Accuracy**: Historical signals match exactly what you would have seen in real-time
- **No Disappearing Signals**: Once a signal appears, it stays (though price may move against it)
- **Honest Performance**: Results reflect true predictive power, not hindsight optimization
- **Live Trading Reliability**: Alerts fire at the same time signals appear on the chart
The dashboard displays "✓ NO REPAINT" to confirm this guarantee.
---
## 📖 HOW TO USE THIS INDICATOR
### Basic Trading Strategy
**For Trend Followers:**
1. **Wait for Signal Confirmation**
- QBUY label appears below a bar = Confirmed bullish entry opportunity
- QSELL label appears above a bar = Confirmed bearish entry opportunity
2. **Check Confidence Score**
- 60-70%: Moderate confidence (consider smaller position size)
- 70-85%: High confidence (standard position size)
- 85-100%: Very high confidence (consider larger position size)
3. **Enter Trade**
- Long entry: Market or limit order near signal bar
- Short entry: Market or limit order near signal bar
4. **Set Targets Using Probability Zones**
- Long trades: Target the adjusted upper zone (lime line)
- Short trades: Target the adjusted lower zone (red line)
- Alternatively, target the basis line (yellow) for conservative exits
5. **Set Stop Loss**
- Long trades: Below recent swing low minus 1 ATR
- Short trades: Above recent swing high plus 1 ATR
**For Mean Reversion Traders:**
1. **Wait for Extreme Zones**
- Price touches extreme lower zone (dotted red line below)
- Price touches extreme upper zone (dotted lime line above)
2. **Confirm with Psychology**
- At lower extreme: Look for Panic or Despair state
- At upper extreme: Look for Euphoria or Greed state
3. **Wait for Confidence Build**
- Monitor dashboard until confidence exceeds threshold
- Requires patience - extreme touches don't always reverse immediately
4. **Enter Reversal**
- Target: Return to basis line (yellow SMA 20)
- Stop: Beyond the extreme zone
**For Position Traders (Longer Timeframes):**
1. **Use Daily Timeframe**
- Set chart to daily for longer-term signals
- Signals will be less frequent but higher quality
2. **Require High Confidence**
- Filter setting: Min Confidence Score 80%+
- Only take the strongest multi-dimensional setups
3. **Confirm with Resonance Background**
- Green tinted background = All timeframes bullish aligned
- Red tinted background = All timeframes bearish aligned
- Only enter when background tint matches signal direction
4. **Hold for Major Targets**
- Long trades: Hold until extreme upper zone or opposite signal
- Short trades: Hold until extreme lower zone or opposite signal
---
## 📊 DASHBOARD INTERPRETATION
The QMH Dashboard (top-right corner) provides real-time market analysis across all four dimensions:
### Dashboard Elements:
1. **✓ NO REPAINT**
- Green confirmation that signals don't repaint
- Always visible to remind users of signal integrity
2. **SIGNAL: BULL/BEAR XX%**
- Shows dominant direction (whichever confidence is higher)
- Displays current confidence percentage
- Background color intensity reflects confidence level
3. **Psychology: **
- Current market emotional state
- Color coded:
- Orange = Euphoria (extreme bullish emotion)
- Yellow = Greed (moderate bullish emotion)
- Gray = Neutral (balanced state)
- Purple = Fear (uncertainty)
- Red = Panic (extreme bearish emotion)
- Dark red = Despair (capitulation)
4. **Resonance: **
- Multi-timeframe alignment strength
- Positive = All timeframes bullish aligned
- Negative = All timeframes bearish aligned
- Near zero = Timeframes not synchronized
- Emoji indicator: 🔥 (bullish resonance) ❄️ (bearish resonance)
5. **Intermarket: **
- Cross-asset pressure measurement
- Positive = BTC/DXY/VIX correlations supporting upside
- Negative = Correlations supporting downside
- Warning ⚠️ if correlation breakdown detected
6. **RSI: **
- Current RSI(14) reading
- Background colors: Red (>70 overbought), Green (<30 oversold)
- Status: OB (overbought), OS (oversold), or • (neutral)
7. **Status: READY BUY / READY SELL / WAIT**
- Quick trade readiness indicator
- READY BUY: Confidence ≥ threshold, bias bullish
- READY SELL: Confidence ≥ threshold, bias bearish
- WAIT: Confidence below threshold
### How to Use Dashboard:
**Before Entering a Trade:**
- Verify Status shows READY (not WAIT)
- Check that Resonance matches signal direction
- Confirm Psychology isn't contradicting (e.g., buying during Euphoria)
- Note Intermarket value - breakdowns (⚠️) suggest caution
**During a Trade:**
- Monitor Psychology shifts (e.g., from Fear to Greed in a long)
- Watch for Resonance changes that could signal exit
- Check for Intermarket breakdown warnings
---
## ⚙️ CUSTOMIZATION SETTINGS
### TFR Settings (Temporal Fractal Resonance)
- **Enable/Disable**: Turn TFR analysis on/off
- **Fractal Sensitivity** (5-50, default 14):
- Lower values = More responsive to short-term changes
- Higher values = More stable, slower to react
- Recommendation: 14 for balanced, 7 for scalping, 21 for position trading
### CAQE Settings (Cross-Asset Quantum Entanglement)
- **Enable/Disable**: Turn CAQE analysis on/off
- **Asset 1** (default BTC): Reference asset for correlation analysis
- **Asset 2** (default DXY): Second reference asset
- **Asset 3** (default VIX): Third reference asset
- **Correlation Length** (10-100, default 20):
- Lower values = More sensitive to recent correlation changes
- Higher values = More stable correlation measurements
- Recommendation: 20 for most assets, 50 for less volatile markets
### Psychology Settings (Adaptive Market Psychology Matrix)
- **Enable/Disable**: Turn AMPM analysis on/off
- **Volume Spike Threshold** (1.0-5.0x, default 2.0):
- Lower values = Detect smaller volume increases as spikes
- Higher values = Only flag major volume surges
- Recommendation: 2.0 for stocks, 1.5 for crypto
### Probability Settings (Time-Decay Probability Zones)
- **Enable/Disable**: Turn TDPZ visualization on/off
- **Probability Lookback** (20-200, default 50):
- Lower values = Zones adapt faster to recent price action
- Higher values = Zones based on longer statistical history
- Recommendation: 50 for most uses, 100 for position trading
### Filter Settings
- **Min Confidence Score** (40-95%, default 60%):
- Lower threshold = More signals, more false positives
- Higher threshold = Fewer signals, higher quality
- Recommendation: 60% for active trading, 75% for selective trading
### Visual Settings
- **Show Entry Signals**: Toggle QBUY/QSELL labels on chart
- **Show Probability Zones**: Toggle zone visualization
- **Show Psychology State**: Toggle dashboard display
---
## 🔔 ALERT CONFIGURATION
QMH includes four alert conditions that can be configured via TradingView's alert system:
### Available Alerts:
1. **Quantum Buy Signal**
- Fires when: Confirmed QBUY signal generates
- Message includes: Confidence percentage
- Use for: Entry notifications
2. **Quantum Sell Signal**
- Fires when: Confirmed QSELL signal generates
- Message includes: Confidence percentage
- Use for: Entry notifications or exit warnings
3. **Market Panic**
- Fires when: Psychology state reaches Panic
- Use for: Contrarian opportunity alerts
4. **Market Euphoria**
- Fires when: Psychology state reaches Euphoria
- Use for: Reversal warning alerts
### How to Set Alerts:
1. Right-click on chart → "Add Alert"
2. Condition: Select "Quantum Market Harmonics"
3. Choose alert type from dropdown
4. Configure expiration, frequency, and notification method
5. Create alert
**Recommendation**: Set alerts for Quantum Buy/Sell signals with "Once Per Bar Close" frequency to avoid intra-bar false triggers.
---
## 💡 BEST PRACTICES
### For All Users:
1. **Backtest First**
- Test on your specific market and timeframe before live trading
- Different assets may perform better with different confidence thresholds
- Verify that the No Repaint guarantee works as described
2. **Paper Trade**
- Practice with signals on a demo account first
- Understand typical signal frequency for your timeframe
- Get comfortable with the dashboard interpretation
3. **Risk Management**
- Never risk more than 1-2% of capital per trade
- Use proper stop losses (not just mental stops)
- Position size based on confidence score (larger size at higher confidence)
4. **Consider Context**
- QMH signals work best in clear trends or at extremes
- During tight consolidation, false signals increase
- Major news events can invalidate technical signals
### Optimal Use Cases:
**QMH Works Best When:**
- ✅ Markets are trending (up or down)
- ✅ Volatility is normal to elevated
- ✅ Price reaches probability zone extremes
- ✅ Multiple timeframes align
- ✅ Clear inter-market relationships exist
**QMH Is Less Effective When:**
- ❌ Extremely low volatility (zones contract too much)
- ❌ Sideways choppy markets (conflicting timeframes)
- ❌ Flash crashes or news events (correlations break down)
- ❌ Very illiquid assets (irregular price action)
### Session Considerations:
- **24/7 Markets (Crypto)**: Works on all sessions, but signals may be more reliable during high-volume periods (US/European trading hours)
- **Forex**: Best during London/New York overlap when volume is highest
- **Stocks**: Most reliable during regular trading hours (not pre-market/after-hours)
---
## ⚠️ LIMITATIONS AND RISKS
### This Indicator Cannot:
- **Predict Black Swan Events**: Sudden unexpected events invalidate technical analysis
- **Guarantee Profits**: No indicator is 100% accurate; losses will occur
- **Replace Risk Management**: Always use stop losses and proper position sizing
- **Account for Fundamental Changes**: Company news, economic data, etc. can override technical signals
- **Work in All Market Conditions**: Less effective during extreme low volatility or major news events
### Known Limitations:
1. **Multi-Timeframe Lag**: Uses confirmed bars (`close `), so signals appear one bar after conditions met
2. **Correlation Dependency**: CAQE requires sufficient history; may be less reliable on newly listed assets
3. **Computational Load**: Multiple `request.security()` calls may cause slower performance on older devices
4. **Repaint of Dashboard**: Dashboard updates every bar (by design), but signals themselves don't repaint
### Risk Warnings:
- Past performance doesn't guarantee future results
- Backtesting results may not reflect actual trading results due to slippage, commissions, and execution delays
- Different markets and timeframes may produce different results
- The indicator should be used as a tool, not as a standalone trading system
- Always combine with your own analysis, risk management, and trading plan
---
## 🎓 EDUCATIONAL CONCEPTS
This indicator synthesizes several established financial theories and technical analysis concepts:
### Academic Foundations:
1. **Fractal Market Hypothesis** (Edgar Peters)
- Markets exhibit self-similar patterns across time scales
- Implemented via multi-timeframe resonance analysis
2. **Behavioral Finance** (Kahneman & Tversky)
- Investor psychology drives market inefficiencies
- Implemented via market psychology state classification
3. **Intermarket Analysis** (John Murphy)
- Asset classes correlate and influence each other predictably
- Implemented via cross-asset correlation monitoring
4. **Mean Reversion** (Statistical Arbitrage)
- Prices tend to revert to statistical norms
- Implemented via probability zones and standard deviation bands
5. **Multi-Timeframe Analysis** (Technical Analysis Standard)
- Higher timeframe trends dominate lower timeframe noise
- Implemented via fractal resonance scoring
### Learning Resources:
To better understand the concepts behind QMH:
- Read "Intermarket Analysis" by John Murphy (for CAQE concepts)
- Study "Thinking, Fast and Slow" by Daniel Kahneman (for psychology concepts)
- Review "Fractal Market Analysis" by Edgar Peters (for TFR concepts)
- Learn about Bollinger Bands (for TDPZ foundation)
---
## 🔄 VERSION HISTORY AND UPDATES
**Current Version: 1.0**
This is the initial public release. Future updates will be published using TradingView's Update feature (not as separate publications). Planned improvements may include:
- Additional reference assets for CAQE
- Optional machine learning-based weight optimization
- Customizable psychology state definitions
- Alternative probability zone calculations
- Performance metrics tracking
Check the "Updates" tab on the script page for version history.
---
## 📞 SUPPORT AND FEEDBACK
### How to Get Help:
1. **Read This Description First**: Most questions are answered in the detailed sections above
2. **Check Comments**: Other users may have asked similar questions
3. **Post Comments**: For general questions visible to the community
4. **Use TradingView Messaging**: For private inquiries (if available)
### Providing Useful Feedback:
When reporting issues or suggesting improvements:
- Specify your asset, timeframe, and settings
- Include a screenshot if relevant
- Describe expected vs. actual behavior
- Check if issue persists with default settings
### Continuous Improvement:
This indicator will evolve based on user feedback and market testing. Constructive suggestions for improvements are always welcome.
---
## ⚖️ DISCLAIMER
This indicator is provided for **educational and informational purposes only**. It does **not constitute financial advice, investment advice, trading advice, or any other type of advice**.
**Important Disclaimers:**
- You should **not** rely solely on this indicator to make trading decisions
- Always conduct your own research and due diligence
- Past performance is not indicative of future results
- Trading and investing involve substantial risk of loss
- Only trade with capital you can afford to lose
- Consider consulting with a licensed financial advisor before trading
- The author is not responsible for any trading losses incurred using this indicator
**By using this indicator, you acknowledge:**
- You understand the risks of trading
- You take full responsibility for your trading decisions
- You will use proper risk management techniques
- You will not hold the author liable for any losses
---
## 🙏 ACKNOWLEDGMENTS
This indicator builds upon the collective knowledge of the technical analysis and trading community. While the specific implementation and combination are original, the underlying concepts draw from:
- The Pine Script community on TradingView
- Academic research in behavioral finance and market microstructure
- Classical technical analysis methods developed over decades
- Open-source indicators that demonstrate best practices in Pine Script coding
Special thanks to TradingView for providing the platform and Pine Script language that make indicators like this possible.
---
## 📚 ADDITIONAL RESOURCES
**Pine Script Documentation:**
- Official Pine Script Manual: www.tradingview.com
**Related Concepts to Study:**
- Multi-timeframe analysis techniques
- Correlation analysis in financial markets
- Behavioral finance principles
- Mean reversion strategies
- Bollinger Bands methodology
**Recommended TradingView Tools:**
- Strategy Tester: To backtest signal performance
- Bar Replay: To see how signals develop in real-time
- Alert System: To receive notifications of new signals
---
**Thank you for using Quantum Market Harmonics. Trade safely and responsibly.**
OBTrendDelta Volume Delta & Order Block SuiteOB Trend Delta V1 - Order Block & Volume Delta Indicator
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 OVERVIEW
OB Trend Delta V1 is a technical indicator that combines Order Blocks analysis (institutional support/resistance zones) with Volume Delta (buying vs selling pressure) to provide insights on setup quality and market dynamics.
The indicator visually displays zones of interest, volume pressure, and a quality scoring system to assist in technical analysis of any market.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 CORE CONCEPT
▸ ORDER BLOCKS
Order Blocks are price zones where large institutions executed significant operations. These areas tend to act as support (Bull OB) or resistance (Bear OB) when price returns to them.
How to interpret:
🟢 Bull Order Block: Green zone where institutional buyers entered strongly → Potential support
🔴 Bear Order Block: Red zone where institutional sellers entered strongly → Potential resistance
▸ VOLUME DELTA
Volume Delta measures the difference between buying and selling volume in each candle, revealing which side of the market is dominating.
How to interpret:
✅ Positive Delta (green histogram): Buyers dominating → Bullish pressure
❌ Negative Delta (red histogram): Sellers dominating → Bearish pressure
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📈 WHAT THE INDICATOR SHOWS
1️⃣ TREND DETECTION
The indicator identifies the main market direction using moving averages and trend strength analysis (ADX), visually highlighting when the market is in:
Uptrend (Bullish Trend)
Downtrend (Bearish Trend)
Ranging (Sideways market/no clear trend)
2️⃣ SETUP QUALITY SYSTEM
Each trading opportunity is evaluated on 6 independent criteria:
✅ Price inside a valid Order Block
✅ Volume Delta confirming the direction
✅ Order Block is recent and "fresh"
✅ Few previous retests (OB still strong)
✅ Volume confirmation above average
✅ Favorable market regime
Setup Quality Score: 0 to 6 points
Score 6: Perfect setup (all criteria met)
Score 5: Excellent setup (5 of 6 criteria)
Score 4: Good setup (4 of 6 criteria)
Score 0-3: Weak setup or forming
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🔧 VISUAL COMPONENTS IN THE INDICATOR
▸ VOLUME DELTA HISTOGRAM
🟢 Green Bars: Buying volume > selling volume (bullish pressure)
🔴 Red Bars: Selling volume > buying volume (bearish pressure)
📊 Intensity: The larger the bar, the greater the pressure
▸ ORDER BLOCK ZONES
🟢 Green Boxes (Bull OB): Institutional support zones
🔴 Red Boxes (Bear OB): Institutional resistance zones
🔄 Projection: OBs are extended to the right until invalidated
▸ SETUP QUALITY SIGNALS
📊 Score Labels: Show setup quality (Q4, Q5, Q6)
• Q6: Perfect setup (all 6 criteria met)
• Q5: Excellent setup (5 of 6 criteria)
• Q4: Good setup (4 of 6 criteria)
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💡 HOW TO INTERPRET THE INFORMATION
Observe trend direction (EMAs and ADX)
Identify active Order Blocks:
• Bull OBs (green): Potential support zones
• Bear OBs (red): Potential resistance zones
Analyze Volume Delta:
• Green bars: Dominant buying pressure
• Red bars: Dominant selling pressure
Check Setup Quality Score:
• Q5-Q6: Setups with multiple confirmations
• Q4: Setup with moderate confirmations
• Q0-Q3: Few criteria met
⚠️ NOTE: The indicator provides technical information. Trading decisions are exclusively yours.
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📊 TECHNICAL CHARACTERISTICS
▸ RECOMMENDED TIMEFRAMES
5 minutes: Scalping / Fast day trading
15 minutes: Day trading
1 hour: Swing trading
4 hours: Medium-term positions
Daily: Long-term analysis
▸ COMPATIBLE MARKETS
✅ Forex (all pairs)
✅ Cryptocurrencies (BTC, ETH, altcoins)
✅ Indices (S&P500, Nasdaq, etc)
✅ Commodities (Gold, Oil, etc)
✅ Stocks and CFDs
⚠️ Requirement: Volume data is necessary for Volume Delta calculation
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⚠️ IMPORTANT WARNINGS
▸ EDUCATIONAL USE
📊 This indicator is an educational technical analysis tool
⚠️ The indicator does NOT provide buy or sell signals
⚠️ The indicator does NOT guarantee results
⚠️ All trading decisions are your responsibility
▸ RISK MANAGEMENT
⚠️ Always use proper risk management
⚠️ Never trade with money you cannot afford to lose
⚠️ Test the indicator on a demo account before using real money
⚠️ Combine with your own analysis and strategy
▸ LIMITATIONS
❌ No indicator is 100% accurate
❌ Markets can behave unpredictably
❌ Requires confirmation with other analyses
❌ Volume Delta requires reliable volume data
▸ DISCLAIMER
📢 This indicator is educational and does not constitute investment advice.
The indicator shows technical information, not trading signals
Past results do not guarantee future results
Trading involves risk of total capital loss
You are 100% responsible for your trading decisions
Consult a financial professional before investing
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📚 ADVANCED CONCEPTS
▸ WHAT ARE ORDER BLOCKS?
Order Blocks represent zones where "smart money" (institutions, whales) accumulated or distributed positions. When price returns to these zones, there is high probability of reaction due to:
Pending limit orders
Psychological levels
Institutional value zones
▸ VOLUME DELTA VS NORMAL VOLUME
Normal volume shows only QUANTITY of trades.
Volume Delta shows DIRECTION (who is winning the battle):
High volume + Positive delta = Strong accumulation 🚀
High volume + Negative delta = Strong distribution 📉
▸ MARKET REGIME (ADX)
ADX measures TREND STRENGTH:
ADX > 25: Strong trend (best time to trade)
ADX < 20: Sideways/ranging market (avoid trades)
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✅ BEFORE USING THIS INDICATOR
Make sure you:
☑ Understand the Order Blocks concept
☑ Know how to interpret Volume Delta
☑ Understand trend analysis
☑ Have your own trading strategy
☑ Know risk management
☑ Understand the indicator does NOT provide buy/sell signals
☑ Are aware of trading risks
☑ Test on demo account before using real money
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📊 USE AS AN ANALYSIS TOOL, NOT AS AN AUTOMATIC DECISION SYSTEM!
The indicator provides information. You make the decisions.
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Version: 1.0 | Type: Order Block + Volume Delta + Trend Analysis | Update: October 2024
DCA Percent SignalOverview
The DCA Percent Signal Indicator generates buy and sell signals based on percentage drops from all-time highs and percentage gains from lowest lows since ATH. This indicator is designed for pyramiding strategies where each signal represents a configurable percentage of equity allocation.
Definitions
DCA (Dollar-Cost Averaging): An investment strategy where you invest a fixed amount at regular intervals, regardless of price fluctuations. This indicator generates signals for a DCA-style pyramiding approach.
Gann Bar Types: Classification system for price bars based on their relationship to the previous bar:
Up Bar: High > previous high AND low ≥ previous low
Down Bar: High ≤ previous high AND low < previous low
Inside Bar: High ≤ previous high AND low ≥ previous low
Outside Bar: High > previous high AND low < previous low
ATH (All-Time High): The highest price level reached during the entire chart period
ATL (All-Time Low): The lowest price level reached since the most recent ATH
Pyramiding: A trading strategy that adds to positions on favorable price movements
Look-Ahead Bias: Using future information that wouldn't be available in real-time trading
Default Properties
Signal Thresholds:
Buy Threshold: 10% (triggers every 10% drop from ATH)
Sell Threshold: 30% (triggers every 30% gain from lowest low since ATH)
Price Sources:
ATH Tracking: High (ATH detection)
ATL Tracking: Low (low detection)
Buy Signal Source: Low (buy signals)
Sell Signal Source: High (sell signals)
Filter Options:
Apply Gann Filter: False (disabled by default)
Buy Sets ATL: False (disabled by default)
Display Options:
Show Buy/Sell Signals: True
Show Reference Lines: True
Show Info Table: False
Show Bar Type: False
How It Works
Buy Signals: Trigger every 10% drop from the all-time highest price reached
Sell Signals: Trigger every 30% increase from the lowest low since the most recent all-time high
Smart Tracking: Uses configurable price sources for signal generation
Key Features
Configurable Thresholds: Adjustable buy/sell percentage thresholds (default: 10%/30%)
Separate Price Sources: Independent sources for ATH tracking, ATL tracking, and signal triggers
Configurable Signals: Uses low for buy signals and high for sell signals by default
Optional Gann Filter: Apply Gann bar analysis for additional signal filtering
Optional Buy Sets ATL: Option to set ATL reference point when buy signals occur
Visual Debug: Detailed labels showing signal parameters and values
Usage Instructions
Apply to Chart: Use on any timeframe (recommended: 1D or higher for better signal quality)
Risk Management: Adjust thresholds based on your risk tolerance and market volatility
Signal Analysis: Monitor debug labels for detailed signal information and validation
Signal Logic
Buy signals are blocked when ATH increases to prevent buying at peaks
Sell signals are blocked when ATL decreases to prevent selling at lows
This ensures signals only trigger on subsequent bars, not the same bar that establishes new reference points
Buy Signals:
Calculate drop percentage from ATH to buy signal source
Trigger when drop reaches threshold increments (10%, 20%, 30%, etc.)
Always blocked on ATH bars to prevent buying at peaks
Optional: Also blocked on up/outside bars when Gann filter enabled
Sell Signals:
Calculate gain percentage from lowest low to sell signal source
Trigger when gain reaches threshold increments (30%, 60%, 90%, etc.)
Always blocked when ATL decreases to prevent selling at lows
Optional: Also blocked on down bars when Gann filter enabled
Limitations
Designed for trending markets; may generate many signals in sideways/ranging markets
Requires sufficient price movement to be effective
Not suitable for scalping or very short timeframes
Implementation Notes
Signals use optimistic price sources (low for buys, high for sells), these can be configured to be more conservative
Gann filter provides additional signal filtering based on bar types
Debug information available in data window for real-time analysis
Detailed labels on each signal show ATH, lowest low, buy level, sell level, and drop/gain percentages
Dobrusky Volume PulseWhat it does & who it’s for
Volume Pulse is a lightweight, customizable volume profile overlay that shows traders how volume is distributed across price levels over a chosen lookback window. Unlike standard profiles, it also maps cumulative buy/sell pressure at each level, so you see not just where volume clustered, but which side dominated.
Core ideas
Cumulative volume by price: Builds a horizontal profile of traded volume at each level, based on user-defined depth and resolution.
Directional pressure mapping: At every price level, the script accumulates bullish vs. bearish volume based on candle closes vs. opens, providing a directional read on whether buyers or sellers had the upper hand.
POC: Automatically highlights the Point of Control (POC) — the level with the most activity.
Customizable presentation: Adjustable profile resolution, bar width, offset, colors, and whether to show cumulative, directional, or both.
How the components work together
The profile provides the “where,” while the buy/sell mapping adds the “who.” By combining these, traders can see whether a high-volume node was buyer-driven absorption or seller-driven distribution — a distinction classic profiles don’t reveal. This directional overlay reduces the guesswork of interpreting raw volume clusters.
How to use
Apply the overlay to your chart.
Watch the POC and areas of significant increase or decrease in volume (and pressure) as natural magnets or rejection areas.
When trading intraday, I've found that higher timeframe volume levels act as strong magnets. In the chart, you can see the volume levels I've drawn on the SPY daily chart. These levels are targets I use when trading the 5-minute chart.
Pay attention to color dominance at those zones — green-heavy nodes suggest buyer control; red-heavy nodes suggest seller control.
Combine with time-based volume tools and price-action for a more comprehensive trade plan.
Settings overview
Lookback depth: Number of bars used for profile calculation.
Profile resolution: Number of horizontal bars to split volume across price.
Bar style: Width, offset, and multiplier for scaling.
Toggle layers: Choose cumulative, directional, or both.
POC display: Optional highlight of the most traded level.
Limitations & best practices
This is a contextual overlay, not a trade-signal system.
Works best on liquid instruments (indices, futures, major stocks, liquid crypto) where volume distribution is meaningful.
Directional mapping uses candle body bias (close vs. open), not raw order flow. For full tape analysis, pair with actual order flow data.
Originality justification
Dual profile: combines cumulative volume-by-price and buyer/seller pressure per bin (close vs. open) — not a standard VP clone.
From-scratch binning + POC in a single pass for speed; no reused libraries.
Flexible display (cumulative / directional / both) with independent resolution, width, and offset for intraday or HTF use.
Clear visuals (optional POC, balanced node coloring) and open-source code so traders can audit and extend.
Luxy Momentum, Trend, Bias and Breakout Indicators V7
TABLE OF CONTENTS
This is Version 7 (V7) - the latest and most optimized release. If you are using any older versions (V6, V5, V4, V3, etc.), it is highly recommended to replace them with V7.
Why This Indicator is Different
Who Should Use This
Core Components Overview
The UT Bot Trading System
Understanding the Market Bias Table
Candlestick Pattern Recognition
Visual Tools and Features
How to Use the Indicator
Performance and Optimization
FAQ
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### CREDITS & ATTRIBUTION
This indicator implements proven trading concepts using entirely original code developed specifically for this project.
### CONCEPTUAL FOUNDATIONS
• UT Bot ATR Trailing System
- Original concept by @QuantNomad: (search "UT-Bot-Strategy"
- Our version is a complete reimplementation with significant enhancements:
- Volume-weighted momentum adjustment
- Composite stop loss from multiple S/R layers
- Multi-filter confirmation system (swing, %, 2-bar, ZLSMA)
- Full integration with multi-timeframe bias table
- Visual audit trail with freeze-on-touch
- NOTE: No code was copied - this is a complete reimplementation with enhancements.
• Standard Technical Indicators (Public Domain Formulas):
- Supertrend: ATR-based trend calculation with custom gradient fills
- MACD: Gerald Appel's formula with separation filters
- RSI: J. Welles Wilder's formula with pullback zone logic
- ADX/DMI: Custom trend strength formula inspired by Wilder's directional movement concept, reimplemented with volume weighting and efficiency metrics
- ZLSMA: Zero-lag formula enhanced with Hull MA and momentum prediction
### Custom Implementations
- Trend Strength: Inspired by Wilder's ADX concept but using volume-weighted pressure calculation and efficiency metrics (not traditional +DI/-DI smoothing)
- All code implementations are original
### ORIGINAL FEATURES (70%+ of codebase)
- Multi-Timeframe Bias Table with live updates
- Risk Management System (R-multiple TPs, freeze-on-touch)
- Opening Range Breakout tracker with session management
- Composite Stop Loss calculator using 6+ S/R layers
- Performance optimization system (caching, conditional calcs)
- VIX Fear Index integration
- Previous Day High/Low auto-detection
- Candlestick pattern recognition with interactive tooltips
- Smart label and visual management
- All UI/UX design and table architecture
### DEVELOPMENT PROCESS
**AI Assistance:** This indicator was developed over 2+ months with AI assistance (ChatGPT/Claude) used for:
- Writing Pine Script code based on design specifications
- Optimizing performance and fixing bugs
- Ensuring Pine Script v6 compliance
- Generating documentation
**Author's Role:** All trading concepts, system design, feature selection, integration logic, and strategic decisions are original work by the author. The AI was a coding tool, not the system designer.
**Transparency:** We believe in full disclosure - this project demonstrates how AI can be used as a powerful development tool while maintaining creative and strategic ownership.
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1. WHY THIS INDICATOR IS DIFFERENT
Most traders use multiple separate indicators on their charts, leading to cluttered screens, conflicting signals, and analysis paralysis. The Suite solves this by integrating proven technical tools into a single, cohesive system.
Key Advantages:
All-in-One Design: Instead of loading 5-10 separate indicators, you get everything in one optimized script. This reduces chart clutter and improves TradingView performance.
Multi-Timeframe Bias Table: Unlike standard indicators that only show the current timeframe, the Bias Table aggregates trend signals across multiple timeframes simultaneously. See at a glance whether 1m, 5m, 15m, 1h are aligned bullish or bearish - no more switching between charts.
Smart Confirmations: The indicator doesn't just give signals - it shows you WHY. Every entry has multiple layers of confirmation (MA cross, MACD momentum, ADX strength, RSI pullback, volume, etc.) that you can toggle on/off.
Dynamic Stop Loss System: Instead of static ATR stops, the SL is calculated from multiple support/resistance layers: UT trailing line, Supertrend, VWAP, swing structure, and MA levels. This creates more intelligent, price-action-aware stops.
R-Multiple Take Profits: Built-in TP system calculates targets based on your initial risk (1R, 1.5R, 2R, 3R). Lines freeze when touched with visual checkmarks, giving you a clean audit trail of partial exits.
Educational Tooltips Everywhere: Every single input has detailed tooltips explaining what it does, typical values, and how it impacts trading. You're not guessing - you're learning as you configure.
Performance Optimized: Smart caching, conditional calculations, and modular design mean the indicator runs fast despite having 15+ features. Turn off what you don't use for even better performance.
No Repainting: All signals respect bar close. Alerts fire correctly. What you see in history is what you would have gotten in real-time.
What Makes It Unique:
Integrated UT Bot + Bias Table: No other indicator combines UT Bot's ATR trailing system with a live multi-timeframe dashboard. You get precision entries with macro trend context.
Candlestick Pattern Recognition with Interactive Tooltips: Patterns aren't just marked - hover over any emoji for a full explanation of what the pattern means and how to trade it.
Opening Range Breakout Tracker: Built-in ORB system for intraday traders with customizable session times and real-time status updates in the Bias Table.
Previous Day High/Low Auto-Detection: Automatically plots PDH/PDL on intraday charts with theme-aware colors. Updates daily without manual input.
Dynamic Row Labels in Bias Table: The table shows your actual settings (e.g., "EMA 10 > SMA 20") not generic labels. You know exactly what's being evaluated.
Modular Filter System: Instead of forcing a fixed methodology, the indicator lets you build your own strategy. Start with just UT Bot, add filters one at a time, test what works for your style.
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2. WHO WHOULD USE THIS
Designed For:
Intermediate to Advanced Traders: You understand basic technical analysis (MAs, RSI, MACD) and want to combine multiple confirmations efficiently. This isn't a "one-click profit" system - it's a professional toolkit.
Multi-Timeframe Traders: If you trade one asset but check multiple timeframes for confirmation (e.g., enter on 5m after checking 15m and 1h alignment), the Bias Table will save you hours every week.
Trend Followers: The indicator excels at identifying and following trends using UT Bot, Supertrend, and MA systems. If you trade breakouts and pullbacks in trending markets, this is built for you.
Intraday and Swing Traders: Works equally well on 5m-1h charts (day trading) and 4h-D charts (swing trading). Scalpers can use it too with appropriate settings adjustments.
Discretionary Traders: This isn't a black-box system. You see all the components, understand the logic, and make final decisions. Perfect for traders who want tools, not automation.
Works Across All Markets:
Stocks (US, international)
Cryptocurrency (24/7 markets supported)
Forex pairs
Indices (SPY, QQQ, etc.)
Commodities
NOT Ideal For :
Complete Beginners: If you don't know what a moving average or RSI is, start with basics first. This indicator assumes foundational knowledge.
Algo Traders Seeking Black Box: This is discretionary. Signals require context and confirmation. Not suitable for blind automated execution.
Mean-Reversion Only Traders: The indicator is trend-following at its core. While VWAP bands support mean-reversion, the primary methodology is trend continuation.
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3. CORE COMPONENTS OVERVIEW
The indicator combines these proven systems:
Trend Analysis:
Moving Averages: Four customizable MAs (Fast, Medium, Medium-Long, Long) with six types to choose from (EMA, SMA, WMA, VWMA, RMA, HMA). Mix and match for your style.
Supertrend: ATR-based trend indicator with unique gradient fill showing trend strength. One-sided ribbon visualization makes it easier to see momentum building or fading.
ZLSMA : Zero-lag linear-regression smoothed moving average. Reduces lag compared to traditional MAs while maintaining smooth curves.
Momentum & Filters:
MACD: Standard MACD with separation filter to avoid weak crossovers.
RSI: Pullback zone detection - only enter longs when RSI is in your defined "buy zone" and shorts in "sell zone".
ADX/DMI: Trend strength measurement with directional filter. Ensures you only trade when there's actual momentum.
Volume Filter: Relative volume confirmation - require above-average volume for entries.
Donchian Breakout: Optional channel breakout requirement.
Signal Systems:
UT Bot: The primary signal generator. ATR trailing stop that adapts to volatility and gives clear entry/exit points.
Base Signals: MA cross system with all the above filters applied. More conservative than UT Bot alone.
Market Bias Table: Multi-timeframe dashboard showing trend alignment across 7 timeframes plus macro bias (3-day, weekly, monthly, quarterly, VIX).
Candlestick Patterns: Six major reversal patterns auto-detected with interactive tooltips.
ORB Tracker: Opening range high/low with breakout status (intraday only).
PDH/PDL: Previous day levels plotted automatically on intraday charts.
VWAP + Bands : Session-anchored VWAP with up to three standard deviation band pairs.
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4. THE UT BOT TRADING SYSTEM
The UT Bot is the heart of the indicator's signal generation. It's an advanced ATR trailing stop that adapts to market volatility.
Why UT Bot is Superior to Fixed Stops:
Traditional ATR stops use a fixed multiplier (e.g., "stop = entry - 2×ATR"). UT Bot is smarter:
It TRAILS the stop as price moves in your favor
It WIDENS during high volatility to avoid premature stops
It TIGHTENS during consolidation to lock in profits
It FLIPS when price breaks the trailing line, signaling reversals
Visual Elements You'll See:
Orange Trailing Line: The actual UT stop level that adapts bar-by-bar
Buy/Sell Labels: Aqua triangle (long) or orange triangle (short) when the line flips
ENTRY Line: Horizontal line at your entry price (optional, can be turned off)
Suggested Stop Loss: A composite SL calculated from multiple support/resistance layers:
- UT trailing line
- Supertrend level
- VWAP
- Swing structure (recent lows/highs)
- Long-term MA (200)
- ATR-based floor
Take Profit Lines: TP1, TP1.5, TP2, TP3 based on R-multiples. When price touches a TP, it's marked with a checkmark and the line freezes for audit trail purposes.
Status Messages: "SL Touched ❌" or "SL Frozen" when the trade leg completes.
How UT Bot Differs from Other ATR Systems:
Multiple Filters Available: You can require 2-bar confirmation, minimum % price change, swing structure alignment, or ZLSMA directional filter. Most UT implementations have none of these.
Smart SL Calculation: Instead of just using the UT line as your stop, the indicator suggests a better SL based on actual support/resistance. This prevents getting stopped out by wicks while keeping risk controlled.
Visual Audit Trail: All SL/TP lines freeze when touched with clear markers. You can review your trades weeks later and see exactly where entries, stops, and targets were.
Performance Options: "Draw UT visuals only on bar close" lets you reduce rendering load without affecting logic or alerts - critical for slower machines or 1m charts.
Trading Logic:
UT Bot flips direction (Buy or Sell signal appears)
Check Bias Table for multi-timeframe confirmation
Optional: Wait for Base signal or candlestick pattern
Enter at signal bar close or next bar open
Place stop at "Suggested Stop Loss" line
Scale out at TP levels (TP1, TP2, TP3)
Exit remaining position on opposite UT signal or stop hit
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5. UNDERSTANDING THE MARKET BIAS TABLE
This is the indicator's unique multi-timeframe intelligence layer. Instead of looking at one chart at a time, the table aggregates signals across seven timeframes plus macro trend bias.
Why Multi-Timeframe Analysis Matters:
Professional traders check higher and lower timeframes for context:
Is the 1h uptrend aligning with my 5m entry?
Are all short-term timeframes bullish or just one?
Is the daily trend supportive or fighting me?
Doing this manually means opening multiple charts, checking each indicator, and making mental notes. The Bias Table does it automatically in one glance.
Table Structure:
Header Row:
On intraday charts: 1m, 5m, 15m, 30m, 1h, 2h, 4h (toggle which ones you want)
On daily+ charts: D, W, M (automatic)
Green dot next to title = live updating
Headline Rows - Macro Bias:
These show broad market direction over longer periods:
3 Day Bias: Trend over last 3 trading sessions (uses 1h data)
Weekly Bias: Trend over last 5 trading sessions (uses 4h data)
Monthly Bias: Trend over last 30 daily bars
Quarterly Bias: Trend over last 13 weekly bars
VIX Fear Index: Market regime based on VIX level - bullish when low, bearish when high
Opening Range Breakout: Status of price vs. session open range (intraday only)
These rows show text: "BULLISH", "BEARISH", or "NEUTRAL"
Indicator Rows - Technical Signals:
These evaluate your configured indicators across all active timeframes:
Fast MA > Medium MA (shows your actual MA settings, e.g., "EMA 10 > SMA 20")
Price > Long MA (e.g., "Price > SMA 200")
Price > VWAP
MACD > Signal
Supertrend (up/down/neutral)
ZLSMA Rising
RSI In Zone
ADX ≥ Minimum
These rows show emojis: GREEB (bullish), RED (bearish), GRAY/YELLOW (neutral/NA)
AVG Column:
Shows percentage of active timeframes that are bullish for that row. This is the KEY metric:
AVG > 70% = strong multi-timeframe bullish alignment
AVG 40-60% = mixed/choppy, no clear trend
AVG < 30% = strong multi-timeframe bearish alignment
How to Use the Table:
For a long trade:
Check AVG column - want to see > 60% ideally
Check headline bias rows - want to see BULLISH, not BEARISH
Check VIX row - bullish market regime preferred
Check ORB row (intraday) - want ABOVE for longs
Scan indicator rows - more green = better confirmation
For a short trade:
Check AVG column - want to see < 40% ideally
Check headline bias rows - want to see BEARISH, not BULLISH
Check VIX row - bearish market regime preferred
Check ORB row (intraday) - want BELOW for shorts
Scan indicator rows - more red = better confirmation
When AVG is 40-60%:
Market is choppy, mixed signals. Either stay out or reduce position size significantly. These are low-probability environments.
Unique Features:
Dynamic Labels: Row names show your actual settings (e.g., "EMA 10 > SMA 20" not generic "Fast > Slow"). You know exactly what's being evaluated.
Customizable Rows: Turn off rows you don't care about. Only show what matters to your strategy.
Customizable Timeframes: On intraday charts, disable 1m or 4h if you don't trade them. Reduces calculation load by 20-40%.
Automatic HTF Handling: On Daily/Weekly/Monthly charts, the table automatically switches to D/W/M columns. No configuration needed.
Performance Smart: "Hide BIAS table on 1D or above" option completely skips all table calculations on higher timeframes if you only trade intraday.
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6. CANDLESTICK PATTERN RECOGNITION
The indicator automatically detects six major reversal patterns and marks them with emojis at the relevant bars.
Why These Six Patterns:
These are the most statistically significant reversal patterns according to trading literature:
High win rate when appearing at support/resistance
Clear visual structure (not subjective)
Work across all timeframes and assets
Studied extensively by institutions
The Patterns:
Bullish Patterns (appear at bottoms):
Bullish Engulfing: Green candle completely engulfs prior red candle's body. Strong reversal signal.
Hammer: Small body with long lower wick (at least 2× body size). Shows rejection of lower prices by buyers.
Morning Star: Three-candle pattern (large red → small indecision → large green). Very strong bottom reversal.
Bearish Patterns (appear at tops):
Bearish Engulfing: Red candle completely engulfs prior green candle's body. Strong reversal signal.
Shooting Star: Small body with long upper wick (at least 2× body size). Shows rejection of higher prices by sellers.
Evening Star: Three-candle pattern (large green → small indecision → large red). Very strong top reversal.
Interactive Tooltips:
Unlike most pattern indicators that just draw shapes, this one is educational:
Hover your mouse over any pattern emoji
A tooltip appears explaining: what the pattern is, what it means, when it's most reliable, and how to trade it
No need to memorize - learn as you trade
Noise Filter:
"Min candle body % to filter noise" setting prevents false signals:
Patterns require minimum body size relative to price
Filters out tiny candles that don't represent real buying/selling pressure
Adjust based on asset volatility (higher % for crypto, lower for low-volatility stocks)
How to Trade Patterns:
Patterns are NOT standalone entry signals. Use them as:
Confirmation: UT Bot gives signal + pattern appears = stronger entry
Reversal Warning: In a trade, opposite pattern appears = consider tightening stop or taking profit
Support/Resistance Validation: Pattern at key level (PDH, VWAP, MA 200) = level is being respected
Best combined with:
UT Bot or Base signal in same direction
Bias Table alignment (AVG > 60% or < 40%)
Appearance at obvious support/resistance
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7. VISUAL TOOLS AND FEATURES
VWAP (Volume Weighted Average Price):
Session-anchored VWAP with standard deviation bands. Shows institutional "fair value" for the trading session.
Anchor Options: Session, Day, Week, Month, Quarter, Year. Choose based on your trading timeframe.
Bands: Up to three pairs (X1, X2, X3) showing statistical deviation. Price at outer bands often reverses.
Auto-Hide on HTF: VWAP hides on Daily/Weekly/Monthly charts automatically unless you enable anchored mode.
Use VWAP as:
Directional bias (above = bullish, below = bearish)
Mean reversion levels (outer bands)
Support/resistance (the VWAP line itself)
Previous Day High/Low:
Automatically plots yesterday's high and low on intraday charts:
Updates at start of each new trading day
Theme-aware colors (dark text for light charts, light text for dark charts)
Hidden automatically on Daily/Weekly/Monthly charts
These levels are critical for intraday traders - institutions watch them closely as support/resistance.
Opening Range Breakout (ORB):
Tracks the high/low of the first 5, 15, 30, or 60 minutes of the trading session:
Customizable session times (preset for NYSE, LSE, TSE, or custom)
Shows current breakout status in Bias Table row (ABOVE, BELOW, INSIDE, BUILDING)
Intraday only - auto-disabled on Daily+ charts
ORB is a classic day trading strategy - breakout above opening range often leads to continuation.
Extra Labels:
Change from Open %: Shows how far price has moved from session open (intraday) or daily open (HTF). Green if positive, red if negative.
ADX Badge: Small label at bottom of last bar showing current ADX value. Green when above your minimum threshold, red when below.
RSI Badge: Small label at top of last bar showing current RSI value with zone status (buy zone, sell zone, or neutral).
These labels provide quick at-a-glance confirmation without needing separate indicator windows.
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8. HOW TO USE THE INDICATOR
Step 1: Add to Chart
Load the indicator on your chosen asset and timeframe
First time: Everything is enabled by default - the chart will look busy
Don't panic - you'll turn off what you don't need
Step 2: Start Simple
Turn OFF everything except:
UT Bot labels (keep these ON)
Bias Table (keep this ON)
Moving Averages (Fast and Medium only)
Suggested Stop Loss and Take Profits
Hide everything else initially. Get comfortable with the basic UT Bot + Bias Table workflow first.
Step 3: Learn the Core Workflow
UT Bot gives a Buy or Sell signal
Check Bias Table AVG column - do you have multi-timeframe alignment?
If yes, enter the trade
Place stop at Suggested Stop Loss line
Scale out at TP levels
Exit on opposite UT signal
Trade this simple system for a week. Get a feel for signal frequency and win rate with your settings.
Step 4: Add Filters Gradually
If you're getting too many losing signals (whipsaws in choppy markets), add filters one at a time:
Try: "Require 2-Bar Trend Confirmation" - wait for 2 bars to confirm direction
Try: ADX filter with minimum threshold - only trade when trend strength is sufficient
Try: RSI pullback filter - only enter on pullbacks, not chasing
Try: Volume filter - require above-average volume
Add one filter, test for a week, evaluate. Repeat.
Step 5: Enable Advanced Features (Optional)
Once you're profitable with the core system, add:
Supertrend for additional trend confirmation
Candlestick patterns for reversal warnings
VWAP for institutional anchor reference
ORB for intraday breakout context
ZLSMA for low-lag trend following
Step 6: Optimize Settings
Every setting has a detailed tooltip explaining what it does and typical values. Hover over any input to read:
What the parameter controls
How it impacts trading
Suggested ranges for scalping, day trading, and swing trading
Start with defaults, then adjust based on your results and style.
Step 7: Set Up Alerts
Right-click chart → Add Alert → Condition: "Luxy Momentum v6" → Choose:
"UT Bot — Buy" for long entries
"UT Bot — Sell" for short entries
"Base Long/Short" for filtered MA cross signals
Optionally enable "Send real-time alert() on UT flip" in settings for immediate notifications.
Common Workflow Variations:
Conservative Trader:
UT signal + Base signal + Candlestick pattern + Bias AVG > 70%
Enter only at major support/resistance
Wider UT sensitivity, multiple filters
Aggressive Trader:
UT signal + Bias AVG > 60%
Enter immediately, no waiting
Tighter UT sensitivity, minimal filters
Swing Trader:
Focus on Daily/Weekly Bias alignment
Ignore intraday noise
Use ORB and PDH/PDL less (or not at all)
Wider stops, patient approach
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9. PERFORMANCE AND OPTIMIZATION
The indicator is optimized for speed, but with 15+ features running simultaneously, chart load time can add up. Here's how to keep it fast:
Biggest Performance Gains:
Disable Unused Timeframes: In "Time Frames" settings, turn OFF any timeframe you don't actively trade. Each disabled TF saves 10-15% calculation time. If you only day trade 5m, 15m, 1h, disable 1m, 2h, 4h.
Hide Bias Table on Daily+: If you only trade intraday, enable "Hide BIAS table on 1D or above". This skips ALL table calculations on higher timeframes.
Draw UT Visuals Only on Bar Close: Reduces intrabar rendering of SL/TP/Entry lines. Has ZERO impact on logic or alerts - purely visual optimization.
Additional Optimizations:
Turn off VWAP bands if you don't use them
Disable candlestick patterns if you don't trade them
Turn off Supertrend fill if you find it distracting (keep the line)
Reduce "Limit to 10 bars" for SL/TP lines to minimize line objects
Performance Features Built-In:
Smart Caching: Higher timeframe data (3-day bias, weekly bias, etc.) updates once per day, not every bar
Conditional Calculations: Volume filter only calculates when enabled. Swing filter only runs when enabled. Nothing computes if turned off.
Modular Design: Every component is independent. Turn off what you don't need without breaking other features.
Typical Load Times:
5m chart, all features ON, 7 timeframes: ~2-3 seconds
5m chart, core features only, 3 timeframes: ~1 second
1m chart, all features: ~4-5 seconds (many bars to calculate)
If loading takes longer, you likely have too many indicators on the chart total (not just this one).
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10. FAQ
Q: How is this different from standard UT Bot indicators?
A: Standard UT Bot (originally by @QuantNomad) is just the ATR trailing line and flip signals. This implementation adds:
- Volume weighting and momentum adjustment to the trailing calculation
- Multiple confirmation filters (swing, %, 2-bar, ZLSMA)
- Smart composite stop loss system from multiple S/R layers
- R-multiple take profit system with freeze-on-touch
- Integration with multi-timeframe Bias Table
- Visual audit trail with checkmarks
Q: Can I use this for automated trading?
A: The indicator is designed for discretionary trading. While it has clear signals and alerts, it's not a mechanical system. Context and judgment are required.
Q: Does it repaint?
A: No. All signals respect bar close. UT Bot logic runs intrabar but signals only trigger on confirmed bars. Alerts fire correctly with no lookahead.
Q: Do I need to use all the features?
A: Absolutely not. The indicator is modular. Many profitable traders use just UT Bot + Bias Table + Moving Averages. Start simple, add complexity only if needed.
Q: How do I know which settings to use?
A: Every single input has a detailed tooltip. Hover over any setting to see:
What it does
How it affects trading
Typical values for scalping, day trading, swing trading
Start with defaults, adjust gradually based on results.
Q: Can I use this on crypto 24/7 markets?
A: Yes. ORB will not work (no defined session), but everything else functions normally. Use "Day" anchor for VWAP instead of "Session".
Q: The Bias Table is blank or not showing.
A: Check:
"Show Table" is ON
Table position isn't overlapping another indicator's table (change position)
At least one row is enabled
"Hide BIAS table on 1D or above" is OFF (if on Daily+ chart)
Q: Why are candlestick patterns not appearing?
A: Patterns are relatively rare by design - they only appear at genuine reversal points. Check:
Pattern toggles are ON
"Min candle body %" isn't too high (try 0.05-0.10)
You're looking at a chart with actual reversals (not strong trending market)
Q: UT Bot is too sensitive/not sensitive enough.
A: Adjust "Sensitivity (Key×ATR)". Lower number = tighter stop, more signals. Higher number = wider stop, fewer signals. Read the tooltip for guidance.
Q: Can I get alerts for the Bias Table?
A: The Bias Table is a dashboard for visual analysis, not a signal generator. Set alerts on UT Bot or Base signals, then manually check Bias Table for confirmation.
Q: Does this work on stocks with low volume?
A: Yes, but turn OFF the volume filter. Low volume stocks will never meet relative volume requirements.
Q: How often should I check the Bias Table?
A: Before every entry. It takes 2 seconds to glance at the AVG column and headline rows. This one check can save you from fighting the trend.
Q: What if UT signal and Base signal disagree?
A: UT Bot is more aggressive (ATR trailing). Base signals are more conservative (MA cross + filters). If they disagree, either:
Wait for both to align (safest)
Take the UT signal but with smaller size (aggressive)
Skip the trade (conservative)
There's no "right" answer - depends on your risk tolerance.
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FINAL NOTES
The indicator gives you an edge. How you use that edge determines results.
For questions, feedback, or support, comment on the indicator page or message the author.
Happy Trading!
Volume Delta [BigBeluga]🔵 OVERVIEW
The Volume Delta indicator visualizes the dominance between buying and selling volume within a given period. It calculates the percentage of bullish (buy) versus bearish (sell) volume, then color-codes the candles and provides a real-time dashboard comparing delta values across multiple currency pairs. This makes it a powerful tool for monitoring order-flow strength and intermarket relationships in real time.
🔵 CONCEPTS
Each bar’s buy volume is counted when the close is higher than the open.
Each bar’s sell volume is counted when the close is lower than the open.
volumeBuy = 0.
volumeSell = 0.
for i = 0 to period
if close > open
volumeBuy += volume
else
volumeSell += volume
The indicator sums both over a chosen period to calculate the ratio of buy-to-sell pressure.
Delta (%) = (Buy Volume ÷ (Buy Volume + Sell Volume)) × 100.
Gradient colors highlight whether buying or selling pressure dominates.
🔵 FEATURES
Calculates real-time Volume Delta for the selected chart or for multiple assets.
Colors candles dynamically based on the delta intensity (green = buy pressure, red = sell pressure).
Displays a dashboard table showing volume delta % for up to five instruments.
The dashboard features visual progress bars for quick intermarket comparison.
An optional Delta Bar Panel shows the ratio of Buy/Sell volumes near the latest bar.
A floating label shows the exact Buy/Sell percentages.
Works across all symbols and timeframes for multi-asset delta tracking.
🔵 HOW TO USE
When Buy % > Sell % , it often signals bullish momentum or strong accumulation—but can also indicate over-excitement and a possible market top.
Market Tops
When Sell % > Buy % , it typically reflects bearish pressure or distribution—but may also occur near a market bottom where selling exhaustion forms.
Market Bottom
Use the Dashboard to compare volume flow across correlated assets (e.g., major Forex pairs or sector groups).
Combine readings with trend or volatility filters to confirm whether the imbalance aligns with broader directional conviction.
Treat the Delta Bar visualization as a real-time sentiment gauge—showing which side (buyers or sellers) dominates the current session.
🔵 CONCLUSION
Volume Delta transforms volume analysis into an intuitive directional signal.
By quantifying buy/sell pressure and displaying it as a percentage or color gradient, it provides traders with a clearer picture of real-time volume imbalance — whether within one market or across multiple correlated instruments.
