Candle Colorizer (Indecisive/Decisive/Explosive)Classifiaction of candles in indecisive/decisive/explosiv to more quickly identify supply and demand zones
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Supply and Demand Scanner Toolkit [TradingFinder]🔵 Introduction
The analytical system presented here is built upon a deep quantitative foundation designed to capture the dynamic behavior of supply and demand in live markets. At its core, it calculates continuously adaptive zones where institutional liquidity, volatility shifts, and momentum transitions converge. These zones are derived from a combination of a regression-based moving average, a long-period ATR, and Fibonacci expansion ratios, all working together to model real-time volatility, price momentum, and the underlying market imbalance.
In practice, this means that at any given moment, five primary bands and seven variable analytical zones are generated around price, representing different market states ranging from extreme overbought to extreme oversold.
Each band reacts dynamically to price volatility, recalibrating with every new candle, which allows the system to mirror the true, constantly changing structure of supply and demand. Every movement between these zones reflects a transition in the strength and dominance of buyers and sellers, a process referred to as volatility-driven price state transitions.
Traditional analytical models often rely on fixed or static indicators that cannot keep up with the rapid microstructural changes in modern markets. This system instead uses regression and smoothing logic to adapt on the fly. By combining a regression moving average with a smoothed moving average, the model calculates real-time trend direction, momentum flow, and trend strength.
When the regression average rises above the smoothed one, the system classifies the trend as bullish; when it falls below, bearish. This dual-layer structure not only helps confirm direction but also enables the automatic detection of critical structural shifts such as Break of Structure (BoS), Change of Character (CHoCH), and directional reversals.
Both the current trend (Live Trend) and projected future trend (Vision Trend) are calculated simultaneously across all available timeframes. This dual analysis allows traders to identify structural changes earlier and to recognize whether a trend is gaining or losing momentum.
In most conventional moving-average-based frameworks, trading signals are delayed because these models react to price rather than anticipate it. As a result, many buy or sell signals appear after the real move has already begun, leading to entries that contradict the current trend. This system eliminates that lag by employing a mean reversion trading model. Instead of waiting for crossovers, it observes how far price deviates from its statistical mean and reacts when that deviation begins to shrink, the moment when equilibrium forces reemerge.
This approach produces non-lagging, data-driven signals that appear at the exact moment price begins to revert toward balance. At the same time, traders can visually assess the market’s condition by observing the spacing, compression, or expansion of the dynamic bands, which represent volatility shifts and trend energy. Through this interaction, the trader can quickly gauge whether a trend is strengthening, losing power, or preparing for a reversal. In other words, the model provides both quantitative precision and intuitive visualization.
A unique visual element in this system is how candles are displayed during transitional states. When Live Trend and Vision Trend contradict each other, for instance, when the current trend is bullish but the projected trend turns bearish, candle bodies automatically appear as hollow.
These hollow candles act as visual alerts for zones of uncertainty or equilibrium between buyers and sellers, often preceding trend reversals, liquidity sweeps, or volatility compression phases. Traders quickly learn to interpret hollow candles as signals to pause, observe, or prepare for potential shifts rather than to act impulsively.
Signal generation in this model occurs when price reverts from extreme zones back toward neutrality. When price exits the strong overbought or strong oversold zones and reenters a milder area, the system produces a reversal signal that aligns with real-time market dynamics. To refine accuracy, these signals are confirmed through several filters, including momentum verification, volatility behavior, and smart money validation. This multi-layered signal logic significantly reduces false entries, helping traders avoid overreactions to temporary liquidity spikes and enhancing performance in volatility-driven markets.
On a broader level, the model supports full multi-timeframe analysis. It can analyze up to twenty symbols simultaneously, across multiple timeframes, to detect directional bias, correlation, and confluence. The result is a holistic map of market structure in real time, showing how each asset aligns or diverges from others and how lower timeframes fit into the macro trend. Variables such as Live Trend, Vision Trend, Directional Strength, and Zone Positioning combine to give a complete structural snapshot at any given moment.
Risk management is handled by an adaptive Trailing Stop Engine that continuously aligns with current volatility and price flow. It integrates pivot mapping with ATR-based calculations to dynamically adjust stop-loss levels as price evolves. The engine offers four adaptive modes, Grip, Flow, Drift, and Glide, each tailored to different levels of market volatility and trader risk tolerance. In visualization, the profit area between entry and stop-loss is shaded light green for long positions and light red for short positions. This design allows immediate recognition of active risk exposure and profit lock-in zones, all in real time.
Altogether, the combination of ATR Volatility Mapping, Fibonacci Band Calibration, Regression-Based Trend Engine, Dynamic Supply and Demand Equilibrium, Conflict Detection through Hollow Candles, Mean Reversion Signal Model, and Adaptive Trailing Stop forms a unified analytical system. It maps the market’s structure, identifies current and future trends, measures the real-time balance of buyers and sellers, and highlights optimal entry and exit points. The final result is higher analytical precision, improved risk control, and a clearer view of the true, data-defined market structure.
🔵 How to Use
Analyzing supply and demand in live financial markets is one of the most complex challenges traders face. Price rarely moves in a straight line; instead, it evolves through phases of expansion, compression, and redistribution. Many traders misinterpret these movements because the zones that appear strong or reactive at first glance often represent nothing more than temporary liquidity redistributions.
These areas, while visually convincing, may lose relevance quickly when volatility increases or when viewed from another timeframe. In high-volatility environments, traditional zone analysis becomes even more unreliable. Price may seem to respect a support or resistance level only to break through it a few candles later. This behavior creates false zones and misleading reversal points.
The key to filtering such movements lies in understanding the context, how volatility, momentum, and structural flow interact across different timeframes. A single timeframe can only tell part of the story. The market’s true structure emerges only when data is synchronized from macro to micro levels.
This is where multi-timeframe correlation becomes essential. Every timeframe offers a different lens through which supply and demand balance can be observed. For example, a trader might see a bullish setup on a 15-minute chart while the 4-hour chart is still showing a strong distribution phase. Without alignment between these layers, trades are easily positioned against the dominant liquidity flow. The model presented here solves this by processing all relevant timeframes simultaneously, allowing traders to see how short-term movements fit within higher-level structures.
Each market phase, whether accumulation, expansion, or reversion, carries a unique volatility fingerprint. The system tracks transitions in volatility regimes, momentum divergence, and structural breakouts to anticipate when a phase change is approaching. For instance, when volatility compresses and ATR readings narrow, it often signals an upcoming breakout or reversal. By monitoring these shifts in real time, the model helps the trader differentiate between liquidity grabs (temporary volatility spikes) and genuine structural changes.
Every supply-demand interaction within this system is adaptive rather than static. The zones continuously recalibrate based on live parameters such as price velocity, momentum distribution, and liquidity displacement. This adaptive structure ensures that the balance between buyers and sellers is represented accurately as market conditions evolve.
In practice, this allows the user to identify early signs of trend exhaustion, potential reversals, and continuation patterns long before traditional indicators would react.
In essence, successful supply and demand analysis requires moving beyond subjective interpretation toward data-driven decision-making.
Manual drawing of zones or relying solely on visual intuition can lead to inconsistent results, especially in fast-changing markets. By combining ATR-driven volatility mapping, mean reversion dynamics, and multi-timeframe alignment, this framework offers a clear, objective, and responsive model of how market forces actually operate. Each decision becomes grounded in measurable context, not assumptions.
The analytical interface is divided into two main sections : the visual chart framework and the scanner data table.
On the chart, five dynamic bands and seven analytical zones appear around price. These are calculated from ATR, regression moving average, and Fibonacci expansion ratios to define whether the market is overbought, oversold, or neutral. Each zone has distinct color coding, allowing traders to recognize the market state instantly without switching tools or indicators.
Price movement within these bands reveals more than just direction, it tells a story of volatility, liquidity flow, and market equilibrium. The upper zones typically indicate exhaustion of buying pressure, while lower zones highlight areas of overselling or potential recovery. The way price reacts near these boundaries can help determine whether a continuation or reversal is likely.
At the heart of the visualization are two layered trend components : Live Trend and Vision Trend.
The Live Trend shows the present market direction based on regression and smoothing logic, while the Vision Trend projects the probable future trajectory by analyzing slope deviation and momentum displacement. When these two align, the trader sees confirmation of market strength. When they diverge, candle bodies turn hollow, a simple yet powerful visual alert signaling hesitation, consolidation, or a possible turning point.
At the bottom of the interface, the Scanner Table organizes all analytical data into a structured display. Each row corresponds to a symbol and timeframe, showing the current Live Trend, Vision Trend, Directional Strength, Zone Position, and Signal Age. This table provides a real-time overview of all assets being tracked, showing which ones are trending, which are in reversal, and which are entering transition zones. By analyzing this table, traders can instantly identify correlation clusters, where multiple assets share the same trend direction, often a sign of broader market sentiment shifts.
The Scanner can simultaneously process multiple timeframes and up to twenty different assets, producing a panoramic market overview. This makes it easy to apply a top-down analytical workflow, starting with higher timeframe alignment, then drilling down into lower levels for execution. Instead of reacting to isolated signals, traders can see where confluence exists across structures and focus only on setups that align with overall market context.
The bands and their color coding make interpretation intuitive even for less experienced users. Darker shades correspond to extreme zones, typically where institutional orders are being absorbed or distributed, while lighter zones mark mild overbought or oversold conditions. When price transitions from an outer extreme zone into a milder region, a signal condition becomes active. At this point, traders can cross-check the event using momentum and volatility filters before acting.
The trailing stop section of the display adds another critical dimension to decision-making. It visualizes stop levels as continuously updating colored lines that follow price movement. These levels are calculated dynamically through pivot mapping and ATR-based sensitivity. The shaded area between the entry point and active stop loss (light green for buys, light red for sells) gives traders immediate insight into how much of the move is currently secured as profit and how much remains exposed. This simple visual cue transforms risk management from a static calculation into a living, responsive process.
All components of this analytical system are fully customizable. Users can adjust signal type, calculation periods, smoothing intensity, and band sensitivity to match their trading style. For example, a scalper might shorten ATR and MA periods to capture rapid fluctuations, while a swing trader might increase them for smoother and more stable readings. Because every element responds to live data, even small adjustments lead to meaningful changes in how the system behaves.
When combined with the scanner’s data table, these features enable a top-down analytical workflow, one where decisions are not made from isolated indicators but from a complete, multi-dimensional understanding of market structure. The result is a system that supports both reactive precision and proactive market awareness.
🟣 Long Signal
A long signal is generated when price begins to rebound from deeply oversold conditions. More precisely, when price enters the strong or extreme oversold zones and then returns into the mild oversold region, the system identifies the start of a mean reversion phase. This transition is not based on subjective interpretation but on mathematical deviation from equilibrium, meaning that selling pressure has been exhausted and liquidity begins to shift toward buyers.
Unlike delayed signals that depend on moving average crossovers or oscillators, this signal appears the moment price starts moving back toward balance. The model’s mean reversion logic detects when volatility contraction and momentum realignment coincide, producing a non-lagging entry condition.
In this situation, traders can visually confirm the setup by observing the spacing and curvature of the lower bands. When the lower volatility bands begin to flatten or curve upward while ATR readings stabilize, it indicates that the market is transitioning from distribution to accumulation.
The strength and quality of each long signal depend on the configuration of trend variables. When both Live Trend and Vision Trend are bullish, the probability of continuation is significantly higher. This alignment suggests that the market’s short-term momentum is supported by long-term structure. On the other hand, when the two trends contradict each other, which the chart highlights with hollow candles, it represents a temporary phase of indecision or conflicting forces.
In these moments, traders are encouraged to monitor volatility compression and observe whether the next few candles confirm a real breakout or revert back to range conditions.
Additional confirmation can be derived from observing the slope of the regression moving average and the magnitude of ATR fluctuations. A steeper upward slope combined with decreasing volatility indicates stronger bullish intent. In contrast, if ATR expands while price remains flat, it signals potential traps or fakeouts driven by short-term liquidity grabs.
Valid long signals often emerge near the end of volatility compression periods or immediately after liquidity sweeps around major lows. These are points where large players typically absorb remaining sell orders before initiating upward movement. Once the long condition triggers, the system automatically calculates the initial stop loss using a combination of recent pivots and ATR range. From that point, the Trailing Stop Engine dynamically adjusts as price rises, maintaining optimal distance from the entry point and locking in profits without restricting trade potential.
For educational context, consider a situation where the market has been trending downward for several sessions, and the ATR value begins to decline, showing that volatility is compressing. As price touches the lower extreme zone and reverses into the mild oversold region while Live Trend starts turning positive, this creates an ideal long condition. A new cycle of expansion often begins right after such compression, and the system captures that early shift automatically.
🟣 Short Signal
A short signal represents the opposite scenario, a point where buying momentum weakens after a strong rally, and price begins to revert downward toward equilibrium. When price exits the strong or extreme overbought zones and moves into the mild overbought region, the model detects the start of a bearish mean reversion phase.
Here too, the signal appears without delay, as it is based on the real-time relationship between price and its volatility boundaries rather than on indicator crossovers.
The system identifies these short conditions when upward momentum shows visible fatigue in the volatility bands. The upper bands start to flatten or turn downward while the regression slope begins to lose angle. This is often accompanied by rising ATR readings, showing an expansion in volatility that reflects distribution rather than continuation.
The quality of the short signal is strongly influenced by the interaction between the two trend layers. When both Live Trend and Vision Trend point downward, the likelihood of sustained bearish continuation increases dramatically. However, if they diverge, candle bodies turn hollow, clearly marking zones of conflict or hesitation. These phases often coincide with the end of a bullish impulse wave and the start of an early correction.
A practical example can illustrate this clearly. Imagine a market that has been trending upward for several days with expanding volatility. When price pushes into the extreme overbought zone and starts pulling back into the mild region, the system interprets it as the first sign of distribution. If at the same time the regression moving average flattens and ATR begins to rise, it strongly suggests that institutional participants are taking profit. The generated short signal allows the trader to position early in anticipation of the downward reversion that follows.
The initial stop loss for short trades is calculated above the most recent pivot high, ensuring logical protection based on the structural context. From there, the Trailing Stop Engine automatically tracks the price movement downward, tightening stops as volatility decreases or expanding them during sharp swings to avoid premature exits.
The engine’s dynamic nature makes it suitable for both aggressive scalpers and patient swing traders. Scalpers can set the trailing sensitivity to “Grip” mode for tighter control, while swing traders can use “Glide” mode to capture larger portions of the trend.
Most short signals form right after volatility expansion or liquidity grabs around major highs, classic exhaustion areas where momentum divergence becomes evident. The combination of visual cues (upper band curvature, hollow candles, ATR spikes) provides traders with multiple layers of confirmation before taking action.
In both long and short scenarios, this analytical system replaces emotional decision-making with structured interpretation. By translating volatility, momentum, and price positioning into clear contextual patterns, it empowers the trader to see where reversals are forming in real time rather than guessing after the move has started.
🔵 Setting
🟣 Logical Setting
Channel Period : The main channel period that defines the base moving average used to calculate the central line of the bands. Higher values create a smoother and longer-term structure, while lower values increase short-term sensitivity and faster reactions.
Channel Coefficient Period : The ATR period used to measure volatility for determining the channel width. Higher values provide greater channel stability and reduce reactions to short-term market noise.
Channel Coefficient : The ATR sensitivity factor that defines the distance of the bands from the central average. A higher coefficient widens the bands and increases the probability of detecting overbought or oversold conditions earlier.
Band Smooth Period : The smoothing period applied to the bands to filter minor price noise. Lower values produce quicker reactions to price changes, while higher values create smoother and more stable lines.
Trend Period : The period used in the regression moving average calculation to identify overall trend direction. Shorter values highlight faster trend shifts, while longer values emphasize broader market trends.
Trend Smooth Period : The smoothing period for the regression trend to reduce volatility and confirm the dominant market direction. This setting helps to better distinguish between corrective and continuation phases.
Signals Gap : The time interval between generated signals to prevent consecutive signal clustering. A higher value strengthens the temporal filter and produces more selective and refined signals.
Bars to Calculate : Defines the number of historical candles used in calculations. Limiting this value optimizes script performance and reduces processing load, especially when multiple symbols or timeframes are analyzed simultaneously. Higher values increase analytical depth by including more historical data, while lower values improve responsiveness and reduce potential lag during live chart updates.
Trailing Stop : Enables or disables the dynamic trailing stop engine. When active, the system automatically adjusts stop loss levels based on live volatility and price structure, maintaining alignment with market flow and trend direction.
Trailing Stop Level : Defines the operational mode of the trailing stop engine with four adaptive styles: Grip, Flow, Drift, and Glide. Grip offers tight stop management for scalping and high precision setups, while Glide allows wider flexibility for swing or long-term trades.
Trailing Stop Noise Filter : Applies an additional filtering layer that smooths minor fluctuations and prevents unnecessary stop adjustments caused by short-term market noise or micro volatility.
🟣 Display Settings
Show Trend on Candles : Displays the current trend direction directly on price candles by applying dynamic color coding. When Live Trend and Vision Trend align bullish, candles appear in green tones, while bearish alignment displays in red. If the two trends conflict, candle bodies turn hollow, marking a Trend Conflict Zone that signals potential indecision or upcoming reversal. This feature provides instant visual confirmation of market direction without the need for external indicators
Table on Chart : Allows users to choose whether the analytical table appears directly over the chart or positioned below it. This gives full control over screen layout based on personal workspace preference and chart design.
Number of Symbols : Controls how many symbols are displayed in the screener table, adjustable from 10 up to 20 in steps of 2. This flexibility helps balance between detailed screening and visual clarity on different screen sizes.
Table Mode : Defines how the screener table is visually arranged.
Basic Mode : Displays all symbols in a single column for vertical readability.
Extended Mode : Arranges symbols side by side in pairs to create a more compact and space-efficient layout.
Table Size : Adjusts the visual scaling of the table. Available options include auto, tiny, small, normal, large, and huge, allowing traders to optimize table visibility based on their screen resolution and preferred chart density.
Table Position : Determines the exact placement of the screener table within the chart interface. Users can select from nine available alignments combining top, middle, and bottom vertically with left, center, and right horizontally.
🟣 Symbol Settings
Each of the 10 available symbol slots includes a full range of adjustable parameters for personalized analysis.
Symbol : Defines or selects the asset to be tracked in the screener, such as XAUUSD, BTCUSD, or EURUSD. This enables multi-asset scanning across different markets including forex, commodities, indices, and crypto.
Timeframe : Sets the specific timeframe for analysis for each selected symbol. Examples include 15 minutes, 1 hour (60), 4 hours (240), or 1 day (1D). This flexibility ensures precise control over how each asset is monitored within the multi-timeframe structure.
🟣 Alert Settings
Alert : Enables alerts for AAS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
Understanding financial markets requires more than indicators, it demands a framework that captures the interaction of price, volatility, and structure in real time. This analytical system achieves that by combining mean reversion logic, volatility mapping, and dynamic supply and demand modeling into an adaptive, data-driven environment. Its computational bands and trend layers visualize market intent, showing when momentum is strengthening, fading, or preparing to shift.
Each signal, derived from statistical equilibrium rather than delayed indicators, reflects the exact moment when the balance between buyers and sellers changes. Variables like Live Trend, Vision Trend, Directional Strength, and ATR-based Volatility Context help traders assess signal quality and alignment across multiple timeframes. The system blends automation with human interpretation, preserving macro-to-micro consistency and enabling confident entries, exits, and stop management through its adaptive Trailing Stop Engine.
Every component, from color-coded zones to hollow candles, forms part of a broader narrative that teaches traders to read the market’s language instead of reacting to it. Built on self-correcting analysis, the framework continuously recalibrates with live data. By transforming volatility, liquidity, and price behavior into structured insight, it empowers traders to move from reaction to prediction, a living ecosystem that evolves with both the market and the trader.
HTF Supply & Demand Zones 📊 Overview
Advanced supply and demand zone indicator that automatically detects institutional-level price zones on higher timeframes and dynamically adapts zone colors based on price position. Zones below price act as demand (support) and zones above price act as supply (resistance).
✨ Key Features
🎯 Dynamic Zone Recognition
- Smart Color Adaptation: Zones automatically change from demand (green) to supply (red) when price crosses them
- Higher Timeframe Analysis: Detect zones from any timeframe while trading on lower timeframes
- Base/Blast Pattern Detection**: Identifies strong institutional zones using base-blast candle methodology
- Automatic Zone Flipping: Broken demand zones become supply and vice versa
📈 Zone Detection Method
Uses the proven Base & Blast candle pattern:
- Base Candle: Small consolidation candle with minimal wick
- Blast Candle: Strong momentum candle breaking from the base
- Customizable Ratio: Adjust base/blast body size ratio (default 8:1)
- Wick Filter: Ensures clean base candles for higher probability zones
🎨 Visual Features
- Clean Zone Boxes: Extended zones with customizable colors and transparency
- Smart Labels: Display zone type and touch count
- Touch Counter: Track how many times price has tested each zone
- Info Dashboard: Real-time statistics in top-right corner
⚙️ Zone Management
- Auto-Delete After X Touches**: Remove zones after specified number of tests (default: 5)
- Optional Break Deletion**: Choose whether to delete zones when price breaks through
- Maximum Zone Limit**: Control chart cleanliness by limiting displayed zones
- Extended Zones**: All zones extend to the right for forward visibility
🔧 Settings
Detection Parameters
- Higher Timeframe: Select any timeframe for zone detection (empty = current timeframe)
- Base/Blast Ratio: 4.0 to 30.0 (default: 8.0) - Higher = stronger zones, fewer signals
- Wick Threshold: 0.1 to 0.5 (default: 0.3) - Maximum base candle wick size
Display Options
- Toggle demand/supply zones independently
- Maximum zones to display (1-50)
- Show/hide zone labels
- Customizable colors for demand and supply zones
- Adjustable border width
Zone Management
- Delete after X touches (1-30 touches)
- Delete on break option
- Touch counter displays current/max touches
💡 How to Use
For Swing Trading
1. Set timeframe to Daily or Weekly
2. Use 8:1 ratio for high-quality zones
3. Enable auto-delete after 3-5 touches
4. Trade pullbacks to green zones (demand) for longs
5. Trade rallies to red zones (supply) for shorts
For Day Trading
1. Set timeframe to 1H or 4H
2. Use 6:1 ratio for more zones
3. Watch for zone color changes as confirmation
4. Enter when price retests zones in the direction of the higher timeframe trend
For Scalping
1. Set timeframe to 15m or 1H
2. Use 5:1 ratio for frequent signals
3. Focus on first touch of fresh zones
4. Use lower timeframes for precise entries
📋 Best Practices
✅ DO:
- Use zones from higher timeframes for better reliability
- Wait for zone color change as confirmation of flip
- Focus on first 2-3 touches of a zone
- Combine with trend analysis
- Use zones as targets and entry levels
❌ DON'T:
- Trade every zone - quality over quantity
- Ignore the touch counter
- Use on very low timeframes without HTF context
- Trade zones that have been tested many times
🎓 Understanding Dynamic Colors
Green Zones (Demand) = Below current price = Support = Look for bounces
Red Zones (Supply) = Above current price = Resistance = Look for rejections
When price breaks a green zone downward, it flips to red (former support becomes resistance)
When price breaks a red zone upward, it flips to green (former resistance becomes support)
📊 Info Dashboard
The top-right table displays:
- Active timeframe
- Current demand zones count (below price)
- Current supply zones count (above price)
- Active base/blast ratio
- Maximum touches setting
🔔 Trading Signals
High Probability Setups:
- Fresh zones (0-1 touches) on higher timeframes
- Zones that align with major support/resistance
- First test after a zone color flip
- Multiple timeframe confluence
Avoid:
- Zones with 4+ touches
- Zones in choppy/ranging markets
- Counter-trend zones during strong momentum
⚡ Performance Notes
- Maximum 500 boxes and lines supported
- Optimized for real-time scanning
- Minimal resource usage
- No repainting - all zones are confirmed
🎯 Recommended Settings by Trading Style
Conservative (Higher Quality)
- Ratio: 10:1
- Wick Threshold: 0.2
- Delete After: 3 touches
Balanced (Default)
- Ratio: 8:1
- Wick Threshold: 0.3
- Delete After: 5 touches
Aggressive (More Signals)
- Ratio: 6:1
- Wick Threshold: 0.4
- Delete After: 7 touches
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📖 Additional Resources
For more information on supply and demand trading:
- Study institutional order flow
- Learn base and blast candle patterns
- Understand market structure and liquidity zones
- Practice on demo before live trading
Risk Warning: This indicator is a tool for technical analysis. Always use proper risk management and combine with your trading strategy. Past performance does not guarantee future results.
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Compatible with all markets: Forex, Stocks, Crypto, Futures, and Indices
Version: 1.0 | Language: Pine Script v5
DM Price ActionHere’s a tight, rules-based playbook for trading with your DM Price Action (FVG + S/R + Order Blocks + VWAP + Auto PDH/PDL/PMH/PML). It’s educational, not financial advice—tune to your market & risk.
Core ideas (what each tool does for you)
VWAP → intraday trend/mean.
PDH/PDL → yesterday’s extremes; magnet & reversal/continuation levels.
PMH/PML → premarket extremes; first liquidity tests after the open.
FVG → imbalance zones for continuation entries.
Order Blocks (OBs) → origin of impulses; mitigation/breaks = structure shifts.
S/R → target rails and break alerts.
Setups (long/short mirror)
1) Bias + Pullback (FVG/OB) at Key Level
Bias (need 2+ conditions):
Price above VWAP (bulls) / below VWAP (bears)
Price above PDH/PMH (bulls) or below PDL/PML (bears)
Most recent Swing OB bias in your direction (script updates via crosses)
Entry (bullish example):
Wait for a Bullish FVG to form after we reclaim PMH or PDH.
Prefer FVG overlapping a Bullish OB or sitting just above Support.
Enter on retrace into FVG midline or first bullish reversal candle inside.
Stop: a few ticks below OB low (or FVG bottom, whichever is wider).
Targets:
T1: nearest Resistance or PDH/PMH if not yet tested.
T2: next HTF S/R or fixed 2R–3R.
Manage: to BE at 1R, trail under swing lows or VWAP on trend days.
Bearish mirror: below VWAP, below PDL/PML, Bearish FVG into Bearish OB / Resistance; stop above OB high.
2) Range Break & Retest at PDH/PDL (with OB confirmation)
Context: Price consolidates under PDH (or over PDL).
Trigger: Clean break of PDH/PDL with an OB breakout alert in the break direction.
Entry: On retest of PDH/PDL from the other side, look for a small FVG forming with the move → enter on the pullback.
Stop: beyond the retest wick or the OB edge.
Targets: next S/R, opposing day extreme (e.g., from PDH to PMH/HTF level) or 2R/3R.
3) Premarket Sweep Reversal (open-specific)
Setup: At/near the cash open, price sweeps PMH/PML (wick through) but closes back inside, then a counter-direction OB forms.
Entry: On first FVG in the reversal direction that overlaps that new OB.
Stop: beyond the sweep extreme (PMH/PML).
Targets: VWAP first, then PD midline levels/SR.
Confluence checklist (score ≥3 before clicking)
+1 Above/below VWAP in trade direction
+1 Trading from a PDH/PDL/PMH/PML reaction (reclaim or rejection)
+1 FVG overlaps an OB
+1 Entry at S/R (use the script’s lines)
+1 Fresh zone (recently formed OB/FVG)
+1 Higher-TF structure aligned (e.g., 1H trend)
Take the trade only if score ≥3; size up only at ≥4.
Execution framework (simple & repeatable)
Timeframes: 1H (bias) → 5–15m (execution).
Risk per trade: 0.25–1.0% of account (fixed).
Position size: Size = Risk $ / Stop distance.
Management:
Scale ½ at T1 (nearest SR/PD level), move stop to BE at 1R.
Let runner to T2 (2R–3R) or next PD level.
If VWAP flips against you and closes 2 bars opposite, exit remainder.
Using the inputs (what to tweak)
Order Blocks:
Scalping mode for intraday speed; Day Trade for cleaner swings.
Hide Internal OBs if noise is high; keep Swing OBs for structure.
FVG:
Keep Auto Threshold = ON.
If noisy, plot higher TF FVG (e.g., 15m FVG on 5m chart).
PDH/PDL/PMH/PML:
If chart is cluttered, keep “Show lines only on last bar” ON and labels ON.
Session markets (futures/US equities): use default 0400–0930 premarket; FX/crypto can disable PM lines if irrelevant.
Alerts to set (so you only act on confluence)
Create alerts for:
Bullish/Bearish FVG (execution zones)
Swing/Internal OB Breakout (structure shift)
Support/Resistance Broken (targets/continuation)
(Optional) Crossing PDH/PDL: use TV “Price crossing” with the plotted PDH/PDL values or visually monitor the labels
Workflow: Wait for ≥2 alerts to line up (e.g., Swing OB Breakout + Bullish FVG near PDH), then open the chart and execute the rule set.
Example trade (bullish)
Price reclaims PDH, holds above VWAP.
Bullish FVG prints overlapping a Bullish Internal OB just above PDH.
Limit at FVG midline, stop below OB low.
T1 = next Resistance; T2 = 2R. Move to BE at 1R; trail under new swing lows.
Demand Supply Zones with MTFDemand Supply Zones with Multi-Timeframe Analysis
Overview:
Advanced institutional demand/supply zone detector with multi-timeframe analysis, proximity alerts, and trend dashboards. Identifies high-probability reversal areas using intelligent base detection and breakout validation across 4 simultaneous timeframes.
Core Unique Features:
• 💎 Elite Base Factor: Auto-detects institutional base patterns using pre-breakout candle body ratio analysis (adjustable 0.1-2.0).
• 🌐 4-Timeframe Zone Detection: Simultaneous MTF zones with individual "👁️ Tested" toggles for granular control - unprecedented in demand/supply indicators.
• 🚨 Proximity Dashboard: Real-time distance tracking to nearest zones (current + all MTF). Visual "APPROACHING!" alerts when price within threshold %.
• 📊 Zone Analytics Dashboard: Live counters for active/tested zones per timeframe with date range display and MTF status tracking.
• 📈 Multi-Timeframe Trend Analysis: 4-TF trend direction
• 🎯 Advanced EMA System: 10 multi-timeframe EMA-20 lines + Golden/Death Cross alerts with customizable styling.
• 📅 Date Range Filter: Performance optimization with calendar-based zone limits (10-500 zones).
• 🧩 Gap Filling: Optional gap bridging between base and leg-out candles for continuous zones.
• 🔐 No Repainting: MTF zones created only on confirmed bars with lookahead bias disabled.
How It Works:
1. Base Detection: Identifies consolidation candles (1-4 consecutive) with customizable body % threshold. Elite mode auto-detects when pre-breakout candle is significantly smaller.
2. Leg-Out Validation: Confirms breakout strength of legout
3. Zone Extension: Projects zones forward (10-500 bars).Fresh zones (green/red) turn gray when tested.
4. MTF Integration: Detects zones from 4 higher timeframes with independent parameters. Each MTF has individual tested zone toggle.
5. Analytics: Proximity dashboard calculates real-time distance to nearest zones. Trend dashboard shows direction across 4 TFs.
Important Notes:
• Educational Purpose: This indicator is for analysis and learning only. Does not guarantee future results.
• Risk Management Required: Always use stop losses and proper position sizing.
• Chart Type: Use standard Candlestick charts. Non-standard charts (Heikin Ashi/Renko) not recommended for accurate zone detection.
• Timeframe Requirements: MTF zones appear only when viewing lower timeframe than selected MTF (e.g., view 1H chart to see Daily MTF zones).
• Performance: Enable Date Range Filter when using multiple MTF timeframes to reduce computational load.
• Past Performance Disclaimer: Historical accuracy does not guarantee future trading results.
⭐ If you find this indicator valuable, please like and share!
SD Demand & Supply IndicatorSD Demand & Supply Indicator automatically identifies and displays demand and supply zones across multiple timeframes.
The indicator detects:
Demand Zones: Drop–Boring–Rally (DBR) and Rally–Boring–Rally (RBR) formations
Supply Zones: Rally–Boring–Drop (RBR) and Drop–Boring–Drop (DBD) formations
When a Demand Zone is detected, it plots a blue Label below the relevant boring candle. When a Supply Zone is detected, it plots a red Label above the relevant boring candle — making it easy to visualize potential reversal areas.
With built-in alert functionality, you can also set alerts on your preferred symbols and timeframes to get instant notifications whenever new Demand or Supply Zones are formed.
How the Script Works?
1. The script scans the price action of three to five consecutive candles to identify potential Demand and Supply patterns based on the open, High, Low and close prices.
2. The script evaluates every candle’s price movement based on set conditions to confirm a valid demand or supply pattern.
3. For demand cases, the script recognizes specific formations such as Drop– Boring –Rally (DBR) and Rally– Boring –Rally (RBR), which indicate potential buying zones.
4. For supply cases, it identifies Rally– Boring –Drop (RBD) and Drop– Boring –Drop (DBD) structures, indicate potential selling zones.
5. When a valid Demand Zone is detected, the script plots a Blue label below the relevant Boring candle.
6. When a valid Supply Zone is found, it plots a Red label above the relevant Boring candle.
7. The script includes an alert feature that notifies users in real-time whenever a valid demand or supply pattern is formed, allowing timely action
How Users can get benefited using this Script?
1. The labels and text plotted by the script help traders visually identify potential entry and exit points.
2. When a valid Demand Zone is detected and the price revisits it, it may indicate a potential bullish reversal.
3. When a valid Supply Zone is detected and the price revisits it, it may indicate a potential bearish reversal.
4. Users can integrate this script with other indicators, fundamental data, or sentiment analysis to confirm signals and make more informed decisions.
5. Traders should use proper risk management strategies, including stop-loss orders to limit losses and targets when the trade moves in their favor.
Settings Explained
1. Boring & Legin Ratio
This is the ratio between the Legin candle and the Boring candle.
A default value of 2 means the Legin candle size (High–Low) is twice the size (High–Low) of the Boring candle.
2. Leg-In & Leg-Out Ratio
This is the ratio of Legin candle and Legout candle.
A default value 2 means the Legout candle size (High-Low) is twice the size (High-Low) of the Legin candle.
3. Leg-In & Three-Leg-Out Ratio
This is the ratio of Legin candle and to the combined size of three Legout candles. A default value 2 means the overall size of the three Legout candles is twice that of the Legin candle.
4. Leg-In Body to Wick Ratio
It is the ratio between the body size of a candle and its total wick length.
A default value of 0.6 means that 60% of the total candle length should be the body.
Zone Selection Filters
1. All Possible Zones
Displays all types of zones, including with or without Clear Area and with or without True Range (TR) vs Average True Range (ATR) criteria
2. All Zones with TR Vs ATR
Shows all zones but with True Range (TR) vs Average True Range (ATR) criteria.
3. Clear Area Zone Only
It will show the Zone with Clear Area and either with or without TR Vs ATR compliance
Clear Area Zone – is considered when the body of the Legout candle does not overlap the Boring candle. In other words, the right side of the Boring candle area remains completely free
4. Clear Area Zone with TR vs ATR Compliance
It will show the Zone with Clear Area and with TR Vs ATR compliance
Note: No. 1 and 2 is suitable for Forex, and crypto market segment
No. 3 and 4 is suitable for commodity and stock market segment
What is TR Vs ATR Criteria?
TR (True Range) vs ATR (Average True Range) criteria is used to validate the strength of a Demand or Supply Zone and it is very important criteria.
For Legin Candle (first candle of the pattern from left) — TR value should be greater than the ATR value.
For Boring Candle (second candle of the pattern from left) — TR value should be smaller than the ATR value.
For Legout Candle (third ,fourth & fifth candle of the pattern from left) — TR value should again be greater than the ATR value,
Important:
Due to the high calculation effort, the history is limited to maximum 10 Zones in total. All zones prior to that will not be displayed so that chart remain clear. Once our indicator has started displaying a Zone, then zone will be visible until it exceeds maximum 10 Zone history. This indicator does not repaint. All signals remain fixed once a candle closes.
What Makes this Indicator Unique?
The Smart Dude Indicator stands out because it doesn’t just mark Demand and Supply Zones — it qualifies them using advanced candle behavior and volatility analysis by using TR Vs ATR analysis .
Unlike typical zone indicators that rely only on price structure, Smart Dude combines candle-to-candle ratio logic with TR vs ATR criteria
Why traders use this indicator?
This strategy is already being used by many experienced traders, including some of my close trading associates. They’ve seen results and even encouraged me to publish it so that more traders can benefit from it. The indicator combines key elements like candle ratio and TR vs ATR criteria, giving users a structured and reliable way to identify zones.
How this Indicator Is Original?
The Smart Dude Indicator is a fully original work — designed and coded from scratch with a unique logic structure.
It is not copied or derived from any existing open-source script.
Key points that make it unique and original:
Exclusive Candle Ratio Logic
TR vs ATR Integration
Clear Area Detection
Fully Hand-Written Logic
Every condition — from candle identification to ratio calculation and plotting — has been manually coded line by line without importing or modifying any existing public logic.
Disclaimer:
This indicator is only for educational purposes and that highlights potential market opportunities. It should not be treated as financial or investment advice.
Trading in financial markets involves risk. The indicator is designed to assist you in making more informed decisions but outcomes depend on your due intelligence and zone validation skills
DM Order BlocksBullish setup:
Wait for a bullish OB to form (price broke structure upward).
Wait for price to return into that blue box (mitigation).
Drop to a lower timeframe (e.g., from 5 min → 1 min) and look for:
Bullish engulfing candle
BOS / liquidity sweep inside OB
Enter long near the OB’s low or midpoint.
Stop loss below OB’s low.
Target previous highs or the next bearish OB above.
Bearish setup:
Wait for a bearish OB to form (price broke down).
Wait for price to retrace into the red box.
Look for a rejection candle or structure shift down.
Enter short near the OB’s high or midpoint.
Stop loss above the OB’s high.
Target previous lows or next bullish OB below.
Timeframe Combination Ideas
Style Chart Confirmation
Scalping 1 min or 3 min Entry on 15 sec or 30 sec
Day Trade 5 min or 15 min Entry on 1 min or 3 min
Swing 1 h Entry on 5 min or 15 min
Example Strategy
Example (Scalping):
On the 1-min chart, you see a new blue internal OB.
Price pulls back into it.
You see a small bullish engulfing candle at the OB’s bottom.
You enter long.
Stop loss just below the box.
Target 2×–3× risk reward (often around the previous swing high).
Khosro XAUUSD Strategy [TradingFinder] Trading Room Hunter Setup🔵 Introduction
The Trading Room Hunter (TRH) strategy is an analytical model based on the Smart Money Concept, developed by Khosro, an Iranian international trader based in Dubai. This approach is built upon a deep understanding of liquidity engineering, market structure shifts, and institutional order flow. Its core objective is to identify the so-called TRH Zone, the area where market liquidity gets trapped and institutional investors begin accumulating positions. Unlike traditional indicator-based methods, the TRH Zone focuses purely on price behavior and supply & demand dynamics to pinpoint the most precise reversal zones in the market.
Within Smart Money logic, every impulsive move in price results from the displacement or absorption of liquidity in a specific range. In the TRH model, the last pivot preceding the impulsive move (Origin Pivot) is defined as the Distal Line, and the Break Candle, which disrupts the market structure, forms the Proximal Line. The area between these two points defines the Trading Room Hunter Zone, a reaction zone where price, after creating a displacement or Break of Structure (BoS), often returns to fill an imbalance and provide a precision entry opportunity.
In essence, the TRH Zone is the region where smart money seeks re-entry after a liquidity sweep and a confirmed CHoCH or BoS. It frequently lies between supply/demand boundaries and fair value gaps (FVGs), forming one of the strongest decision-making frameworks within modern price-action theory. Due to its structural accuracy, the TRH setup can also function as a Set & Forget Setup, where the trader defines the zone, places a limit order, and lets the market naturally react, eliminating emotional decision-making and allowing for automated execution aligned with institutional logic.
🔵 How to Use
In the TRH strategy, entries are taken based on price returning to the area between the last impulsive pivot and the break candle. This range (the TRH Zone) represents the region where liquidity from the previous move remains concentrated. Before continuing its main direction, price often revisits this zone to fill imbalances or mitigate unfilled orders. The logic is simple: every explosive move originates from a point where large orders were executed, and TRH precisely highlights that institutional footprint.
🟣 Bullish Setup
When the market breaks a structural high after a strong bearish leg, liquidity shifts from sellers to buyers. The last bearish candle before the breakout marks the origin of the bullish move, and the zone between that candle and the break candle becomes the smart-money entry area. As price revisits this zone and signs of exhaustion in selling pressure appear, that’s the optimal point for a long position. Stop-loss is placed slightly below the origin pivot, and targets are set at the next supply zone or upper liquidity pool.
🟣 Bearish Setup
Conversely, when the market breaks a structural low after a sharp bullish leg, liquidity transitions from buyers to sellers. The last bullish candle before the drop is identified as the origin pivot, while the bearish break candle defines the lower boundary of the zone. The range between these two points forms the TRH Supply Zone, where late buyers are trapped and fresh institutional selling begins. As price retraces into this zone, short entries can be placed near the upper boundary, with stops above the pivot and targets toward the next liquidity pool below.
Because of its structural precision and clearly defined reaction behavior, TRH is one of the most effective Set & Forget setups in Smart Money trading. Simply mark the zone, place your order, and let the market do the rest.
🔵Setting
🟣 Spike Filter | Movement
Minimum Spike Bars : Defines the minimum number of consecutive candles required for a valid spike.
Movement Power : Enables or disables the momentum-based spike filter.
Movement Power Level : Sets the strength threshold; higher values filter out weaker moves and only detect strong spikes.
Pivot Period : Defines the lookback range used to detect swing highs and swing lows in market structure. A higher value smooths out smaller fluctuations and focuses on major pivots, while a lower value increases sensitivity and identifies minor turning points more frequently.
🟣 Position Management
Stop-Loss Threshold : Enables or disables the stop-loss threshold feature.
Stop-Loss Threshold Value : Defines the value of the stop-loss threshold for risk management.
Risk-Reward Ratio : Sets the desired risk-to-reward ratio (e.g., 1:1 or 1:2).
Wide Zone Filter : Filters out zones that exceed a defined width threshold, preventing detection of overly broad TRH areas.
🟣 Display Settings
Display Mode : Chooses between Setup (showing setups) or Signal (showing trade signals).
Show Entry Levels : Displays entry levels on the chart (buy/sell zones) when enabled
Only Display the Last Position : Displays only the most recent position on the chart when enabled.
Setup Width Drawing : Adjusts the visual width of the setup drawings on the chart for better visibility.
🔵 Conclusion
The TRH strategy is a precise structural model of liquidity flow that identifies zones where smart money is most likely to enter and where price is most likely to react. By combining the Origin Pivot and Break Candle, TRH isolates the key areas that drive institutional order flow. Without relying on indicators, it focuses purely on price structure, making it highly effective for both reactive entries and Set & Forget setups.
Ultimately, TRH creates a balance between market structure and liquidity flow, enabling traders to identify institutional decision zones on the chart with minimal risk and maximum clarity
Twisted Forex's Doji + Area StrategyTitle
Twisted Forex’s Doji + Area Strategy
Description
What this strategy does
This strategy looks for doji candles forming inside or near supply/demand areas . Areas are built from swing pivots and sized with ATR, then tracked for retests (“confirmations”). When a doji prints close to an area and quality checks pass, the strategy places a trade with the stop beyond the doji and a configurable R:R target.
How areas (zones) are built
• Swings are detected with a user-set pivot length.
• Each swing spawns a horizontal area centered at the pivot price with half-height = zoneHalfATR × ATR .
• Duplicates are de-duplicated by center distance (ATR-scaled).
• Areas fade when broken beyond a buffer or after an optional age (expiry).
• Retests are recorded when price touches and then bounces away from the area; repeated reactions increase the zone’s “strength”.
Signal logic (summary)
Doji detection: strict or loose body criteria with optional minimum wick fractions and ATR-scaled minimum range.
Proximity: price must be inside/near a supply or demand area (proxATR × ATR).
Side resolution: overlap is resolved by (a) which side price penetrates more, (b) fast/slow EMA trend, or (c) nearest distance. Optional “previous candle flip” can bias long after a bearish candle and short after a bullish one.
Optional 1-bar confirmation: the bar after the doji must close away from the area by confirmATR × ATR .
Quality filter (Off/Soft/Strict): four checks—(i) wick rejection past the edge, (ii) doji closes in an edge “band” of the area, (iii) fresh touch (cooldown), (iv) approach impulse over a short lookback. In Strict , thresholds auto-tighten.
Orders & exits
• Long: stop below doji low minus buffer; Short: above doji high plus buffer.
• Target = rrMultiple × risk distance .
• Pyramiding is off by default.
Position sizing
You can size from the script or from Strategy Properties:
• Script-driven (default): set Position sizing = “Risk % of equity” and choose riskPercent (e.g., 1.0%). The script applies safe floors/rounding (FX micro-lots by default) so quantity never rounds to zero.
• Properties-driven : toggle Use TV Properties → Order size ON, then pick “Percent of equity” in Properties (e.g., 1%). The header includes safe defaults so trades still place.
Key inputs to explore
• Zone building : pivotLen, zoneHalfATR, minDepartureATR, expiryBars, breakATR, leftBars, dedupeATR.
• Doji & proximity : strictDoji, dojiBodyFrac, minWickFrac, minRangeATR, proxATR, minBarsBetween.
• Overlap resolution : usePenetration, useTrend (EMA 21/55), “previous candle flip”, needNextBarConf & confirmATR.
• Quality : qualityMode (Off/Soft/Strict), minQualPass/kStrict, wickPenATR, edgeBandFrac, approachLookback, approachMinATR, freshTouchBars.
• Zone strength gating : minStrengthSoft / minStrengthStrict.
• HTF confluence (optional) : useHTFTrend (HTF EMA 34/89) and/or useHTFZoneProx (HTF swing bands).
Tips to make it cleaner / higher quality
• Turn needNextBarConf ON and use confirmATR = 0.10–0.15 .
• Increase approachMinATR (e.g., 0.35–0.45) to require a stronger pre-touch impulse.
• Raise minStrengthSoft/Strict (e.g., 4–6) so only well-reacted zones can signal.
• Use signalsOnlyConfirmed ON if you prefer trades only from zones with retests (the script falls back gracefully when none exist yet).
• Nudge proxATR to 0.5–0.6 to demand tighter proximity to the level.
• Optional: enable useHTFTrend to filter counter-trend setups.
Default settings used in this publication
• Initial capital: 100,000 (illustrative).
• Slippage: 1 tick; Commission: 0% (you can raise commission if you prefer—spread is partly modeled by slippage).
• Sizing: Risk % of equity via inputs; riskPercent = 1.0% ; FX uses micro-lot floors by default.
• Quality: Off by default (Soft/Strict available).
• HTF trend gate: Off by default.
Backtesting notes
For a meaningful sample size, test on liquid symbols/timeframes that yield 100+ trades (e.g., majors on 5–15m over 1–2 years). Backtests are modelled and broker costs/spread vary—validate on your feed and forward-test.
How to read the chart
Shaded bands are supply (above) and demand (below). Brighter bands are the nearest K per side (visual aid). BUY/SELL labels mark entries; colored dots show entry/SL/TP levels. You can hide zones or unconfirmed zones for a cleaner view.
Disclaimer
This is educational material, not financial advice. Trading involves risk. Always test and size responsibly.
Basic Odds Enhancer: Supply Zone for ShortsHow to Use/Adjust:
On your chart, it marks bars where a 20-bar high coincides with high volume and bearish divergence—flag these as supply zones.
Tweak supply_threshold to 2.0 for stricter volume (fewer but stronger signals).
For zones, manually draw rectangles around the flagged area (use Drawing Tools > Rectangle).
Backtest: Apply to historical data (e.g., EUR/USD 4H) and check win rate with shorts on retests.
This setup typically yields 2-5 signals per week on major pairs, depending on volatility. Test on a demo account, and combine with market context (e.g., avoid shorts in strong uptrends).
Odds Enhancer: Volume + RSI DivHow it Works: This flags potential demand zones where price hits a 20-bar low with a volume spike and bullish RSI divergence. Customize for supply zones by flipping logic.
Supply & Demand Limited [DOSALGO]The Supply & Demand Limited indicator is a powerful tool designed to automatically identify and plot significant supply and demand zones on your chart. Based on the core principles of price action, this indicator pinpoints areas where buying or selling pressure has historically been strong enough to cause a substantial shift in the market. By visualizing these key institutional levels, traders can gain a clearer perspective on potential turning points, support/resistance areas, and high-probability trade setups.
This "Limited" version is specifically optimized for higher timeframe analysis and will function exclusively on Daily and Weekly charts, helping traders focus on the most significant market structure.
Key Features
Automatic Zone Detection: The indicator's internal calculation method scans the price action to detect valid supply and demand zones, saving you the time and effort of manual charting.
Identifies Key Patterns: It recognizes classic supply and demand patterns, including Rally-Base-Drop (RBD), Drop-Base-Rally (DBR), and continuation patterns like Rally-Base-Rally (RBR) and Drop-Base-Drop (DBD).
Dynamic Zone Interaction: Zones are not static. The indicator tracks price interaction, changing a zone's color once it has been touched. It can also automatically remove zones that have been significantly penetrated, keeping your chart clean and relevant.
"Level on Level" (LoL) Detection: A unique feature that identifies when new zones form within or overlapping existing ones. These "stacked" zones can often indicate particularly strong areas of confluence.
Built-in Alerts: Never miss an opportunity. Set up custom alerts to notify you the moment a new supply or demand zone is formed or when the price touches an existing zone.
Fully Customizable: Tailor the indicator to your exact trading style with extensive customization options. Adjust everything from the zone definition and colors to the number of zones displayed on your chart.
How to Use This Indicator
The primary goal of this indicator is to highlight potential areas where the market may reverse or pause.
Identify Potential Reversal Points: A supply zone (red) above the current price may act as resistance, presenting a potential area for short entries. A demand zone (green) below the current price may act as support, offering a potential area for long entries.
Confirm with Other Tools: For best results, use these zones in conjunction with your existing trading strategy. Confirm signals with other indicators, trend analysis, or fundamental factors to increase confidence.
Set Stop-Loss and Take-Profit: The boundaries of the zones can serve as logical guides for placing stop-loss orders (e.g., just above a supply zone or just below a demand zone) and for setting profit targets.
Settings Explained
Zone Definition
Show "Level on Level" (LoL) Labels: Toggles the "(LoL)" text on zones that are stacked on top of each other.
Include Continuation Patterns?: Choose whether to display only reversal patterns (RBD, DBR) or also include continuation patterns (RBR, DBD).
Zone Type: Select how zones are drawn.
Wider: Uses the full high/low of the base candles for a larger zone.
Preferred: Uses a more precise calculation to define the zone, often resulting in a tighter, more refined area.
Max Base Candles in Zone: Sets the maximum number of consolidation (base) candles allowed for a valid zone to be formed.
Zone Display & Limits
Limit Supply/Demand Zones: Toggle on or off to limit the number of zones displayed.
Max Supply/Demand Zones: When the limit is on, this sets the maximum number of the most relevant supply or demand zones to show on the chart.
Zone Interaction
Delete Zone on Deep Wick Penetration?: If enabled, the indicator will automatically remove a zone from the chart if the price penetrates it by a significant amount.
Remove Tested Zone %: Defines how much the price must penetrate a zone (as a percentage of the zone's height) to be considered "deep" and trigger its removal.
Colors & Style
Full customization over the colors for fresh and touched supply and demand zones, as well as the appearance of the zone labels.
Alerts
Alert on New Zone Creation?: Enable to receive an alert when a new zone is confirmed.
Alert on Zone Touch?: Enable to receive an alert when the price first enters an existing zone.
Disclaimer: This indicator is a tool for technical analysis and should not be considered financial advice. All trading involves risk. Always conduct your own research and analysis before making any trading decisions. Past performance is not indicative of future results.
Supply Zone & Demand M15Supply Zone & Demand M15
This indicator automatically detects and plots supply and demand zones based on 15-minute pivots and impulse strength.
🔎 Features
Multi-timeframe visibility: Zones are detected on M15 pivots but can be viewed on any lower timeframe (M1, M5, etc.).
Zone validation: Zones appear only after a strong impulsive move, measured against ATR.
Retest counting: Each time price retests a zone, a counter is displayed.
Retests can be merged by time window (No merge, 30 minutes, or 1 hour).
Zone merging: Nearby overlapping zones are automatically combined with a tolerance setting.
Configurable display: Choose between immediate display of zones or only after N retests.
Customizable style: Full control over colors, extension to the left, and max number of zones kept.
⚙️ Settings
Pivot strength: Minimum bars for swing highs/lows.
Impulse filter: Require ATR-based momentum before validating a zone.
Zone width: Defined as a multiple of ATR.
Retest merge: Select None, 30 minutes, or 1 hour.
Invalidation: Option to remove zones once broken.
Display mode: Show zones immediately or only after the required number of retests.
✅ Use Cases
Identify high-probability reversal areas.
Track how many times a zone has been retested.
Spot confluence when historical zones align with current price action.
⚠️ Disclaimer: This indicator is a technical tool, not financial advice. Always combine with proper risk management.
Demand & Supply by DaoEADemand & Supply by DaoEA
This indicator is designed to help traders identify key demand and supply zones, displaying strong price action patterns such as Pin Bar, Engulfing, Hammer, and Shooting Star to confirm reversal points.
Key Features
Automatically identifies Supply & Demand Zones and extends them to the right.
Displays Break of Structure (BOS) when prices break out of these zones.
Tracks Swing Highs/Lows and analyzes HH, HL, LH, and LL.
Highlights strong price action patterns such as Bullish/Bearish Pin Bars, Engulfing, Hammer, and Shooting Star.
Customizable zones, colors, and labels.
Overlay zone protection. To avoid over-cluttering the chart,
Usage
Use with higher timeframes (H1 and above) to identify high demand and supply points.
Switch to smaller timeframes (M15–M30) to identify entry and exit opportunities.
Wait for a strong BOS + PA to confirm the signal.
Suitable for scalpers, swing traders, and Smart Money Concept (SMC) traders who want to clearly understand market structure.
3CRGANG - SUPPLY/DEMAND ZONESOverview
The "3CRGANG - SUPPLY/DEMAND ZONES" indicator is a sophisticated tool designed to identify, classify, and visualize dynamic supply (resistance) and demand (support) zones on your TradingView charts. It goes beyond basic level plotting by incorporating a state-based system that tracks how zones evolve based on price interactions, helping traders anticipate potential reversals, continuations, or breakdowns at key levels. Zones are categorized into states like Untested, Verified, Weak, Flipped, and Broken, providing contextual insights into their strength and reliability. This indicator is particularly useful for swing traders, scalpers, and position traders who rely on price action around institutional levels, as it filters noise and highlights actionable zones with customizable alerts and visual aids.
Built on Pine Script v6, it overlays directly on your chart with semi-transparent boxes for zones, optional labels for quick reference, and alert triggers for zone tests. The invite-only access ensures users benefit from its proprietary enhancements, making it a premium alternative to generic zone indicators.
How It's Built: Core Concepts and Calculations
At its foundation, the indicator detects potential supply and demand zones using a fractal-based pivot detection method, which identifies local highs and lows by comparing a central bar's price to surrounding bars within a validation window. This window is dynamically adjusted via a "Fractal Sensitivity Factor" (default 6.0), which scales the lookback period relative to your chart's timeframe—ensuring zones adapt to market volatility without over- or under-fitting. For example, on a 15-minute chart, this might equate to checking 18-24 bars around a candidate pivot for confirmation.
Once a fractal pivot is confirmed:
Zone Boundaries: The zone is constructed around the pivot high/low, extended by a fraction of the Average True Range (ATR, period 7) using the "Zone Boundary ATR Multiplier" (default 0.3). This creates a band that accounts for typical price fluctuations, preventing overly tight or loose zones. A subtle "Zone Fuzz Factor" (default 0.15) adds a minor buffer to the ATR-derived extension, allowing for fine-tuning in choppy markets without altering the core range.
Merging Overlaps: To avoid clutter, overlapping zones of the same type (or flipped counterparts) are intelligently merged through up to 2-3 passes (configurable via "Max Merge Passes"). This consolidation increases the "test count" for the resulting zone, reflecting cumulative price rejections and enhancing its perceived strength.
Zone Testing and Classification: Price interactions with zones are evaluated using one of two methods:
Dynamic - Bars: Counts tests when price wicks into the zone from outside or closes out after entering, with a minimum gap (0-2 bars) to prevent rapid-fire counts in ranging markets.
Mechanical - Pivots: Enhances the dynamic method by requiring a mechanical pivot (e.g., via TradingView's built-in pivothigh/pivotlow) within the zone during the test, adding a layer of confirmation for more conservative signals. Tests are tallied with a "Weak Zone Test Threshold" (default 1), classifying zones as:
Untested: No interactions yet—fresh levels with high potential.
Weak: 1 or fewer meaningful tests—early signals that may fade.
Verified: Multiple tests (above threshold)—strong, repeatedly respected levels.
Flipped: A broken zone that reverses role (e.g., resistance becomes support), based on a decisive close beyond the boundary.
Broken: Permanently invalidated by a strong breakout, optionally displayed for historical context.
Time and Session Integration: Zones are timestamped and limited to a "Back Limit" (default 500 bars) for performance. It incorporates a custom holiday library (importing from RotemB's LIBRARY_3CRGANG_Holidays_Library) to detect closures across major exchanges (NYSE, LSE, FSE, SSX, TSE, HKSE), adjusting session times for half-days and full holidays. Alerts are filtered by user-selected sessions, weekends, and a "Do Not Disturb" (DND) mode with timezone-aware scheduling (e.g., UTC+3 Jerusalem default, selectable from 90+ global options).
This combination of fractal detection, ATR-based sizing, multi-pass merging, and test-driven state evolution draws from classic supply/demand principles but refines them with proprietary logic to handle real-world market dynamics, such as volatility clustering and institutional session biases.
Why It’s Useful
Supply and demand zones are foundational to price action trading, representing areas where large orders accumulate and cause reversals or pauses. This indicator streamlines the process by automating zone discovery and maintenance, saving time compared to manual drawing. Its state system adds predictive value: Verified zones often signal high-probability bounces, while Flipped ones highlight role reversals for trend continuation trades. Alerts notify you of tests in real-time, ideal for multi-chart monitoring, and session/holiday filters reduce false signals during low-liquidity periods (e.g., no alerts on Christmas for NYSE-linked assets).
Traders benefit from reduced emotional bias—zones "age out" beyond the back limit, focusing on recent action—and customizable visuals prevent chart overload. In volatile markets like forex or crypto, the ATR-adjusted boundaries adapt better than fixed-percentage methods, while the test count helps gauge exhaustion (e.g., over-tested Weak zones may signal impending breaks). Overall, it enhances decision-making by providing not just levels, but their evolving context.
How to Use It
Add to Chart:
Search for "3CRGANG - SUPPLY/DEMAND ZONES" in TradingView's invite-only scripts (access required). Apply to any timeframe from 1-minute to yearly, though it shines on intraday (15M-4H) for active trading.
Configure Inputs:
Test Mode: Choose "Dynamic - Bars" for sensitive, wick-focused testing or "Mechanical - Pivots" for stricter, pivot-confirmed interactions. Adjust "Minimum Test Gap" (0-2) to filter rapid tests and "Weak Zone Test Threshold" (1-3) to define strength tiers.
Pivot Filters: Tune "Fractal Sensitivity Factor" (5-14) for fewer/more zones—higher values for smoother trends, lower for chop.
Zone Width: Set "Zone Boundary ATR Multiplier" (0-1) for tighter/wider bands; use "Zone Fuzz Factor" (0-1) sparingly for boundary tweaks.
Visual: Select zone style (Solid/Dashed/Dotted), linewidth (1-3), and horizontal extension (None/Right/Both). Toggle visibility per state (e.g., hide Broken for cleaner charts).
Labels: Enable "Show Labels" for state/type info; add "Show Zone Size" (in pips/$) and "Show Test Count" for details. Adjust shift for positioning.
Alerts: Enable per state (Untested/Weak/Verified/Flipped). Filter by sessions (e.g., enable NYSE for US equities), holidays, weekends, and DND (set time ranges in your timezone to mute notifications).
Colors: Customize per state/type for intuitive visuals (e.g., red shades for resistance).
Trading Application:
Entries: Buy at Verified Demand (green) tests, sell at Verified Supply (red). Use Flipped zones for breakout confirmation.
Exits/Risk: Place stops beyond zone boundaries; trail profits on Weak/Flipped signals indicating fading strength.
Alerts Setup: In TradingView's alert dialog, select this indicator and configure for "alert() function calls only" to receive zone-test notifications.
Multi-Timeframe: View higher-TF zones on lower charts for confluence (e.g., daily zones on 1H).
Best Practices: Combine with volume or oscillators; backtest on your asset to optimize sensitivity.
Chart Example: XAG/USD (m5 timeframe)
Chart Notes
The chart displays zones on XAGUSD (M5 timeframe), presenting a clear price action structure with three distinct zones. A green Verified Support zone, marked with a translucent green box, indicates a robust demand level that has been tested multiple times and held firm. A blue Weak Support zone, outlined with a lighter blue box, reflects a less-tested support level with fewer rejections, suggesting lower reliability. A gold Flipped Resistance zone, highlighted with a golden box, initially acted as a resistance with rejections before breaking through and retesting as a support zone, showcasing its transition. Labels appear to the right of each zone, displaying details such as "VERIFIED SUPPORT (6.72 points, T=3)" for the Verified zone, "WEAK SUPPORT (6.9 points, T=1)" for the Weak zone, and "FLIPPED SUPPORT (3.85 points, T=10)" for the Flipped zone, with sizes in dollars (or pips if under $1) and test counts included. Zones extend horizontally to the right based on the user-defined shift setting, with customizable dashed or dotted borders for enhanced visual clarity.
Requires 500 bars of history for optimal performance. Alerts are muted during holidays (e.g., Lunar New Year) or Do Not Disturb periods.
Settings
Test Mode: Choose method (Dynamic - Bars or Mechanical - Pivots), set minimum test gap (0-2 bars), and weak zone threshold (1-3 tests).
General: Adjust back limit (250-1000 bars).
Pivot Filters: Set fractal sensitivity factor (5-14) and max merge passes (1-3).
Zone Width: Define ATR multiplier (0-1) and fuzz factor (0-1).
Visual: Select zone style (Solid, Dashed, Dotted), line width (1-3), shift end right (1-50 bars), and extension (None, Right, Both).
Visibility: Toggle display for each state (Untested, Verified, Weak, Flipped, Broken).
Labels: Enable labels, set shift (1-50 bars), size, and show size/test counts.
Alerts: Enable alerts by state (Untested, Weak, Verified, Flipped).
DND Settings: Set timezone, Do Not Disturb hours, and weekend alerts.
Sessions Alerts: Filter alerts by exchange (NYSE, LSE, etc.) and holiday settings.
Colors: Assign colors to each zone state and type.
Why It's Unique and Worth Invite-Only Access
While supply/demand indicators exist, this one stands out through its integrated ecosystem: adaptive fractal pivots with sensitivity scaling, multi-pass overlap merging that preserves test history, and a nuanced state machine that evolves zones based on configurable test mechanics—far beyond simple high/low plotting or basic breakouts. The proprietary blending of ATR fuzzing, retroactive test validation during zone creation, and global exchange holiday/session filtering (with half-day adjustments) minimizes irrelevant alerts, a common pain point in public scripts. It doesn't rely solely on built-ins or educational code; instead, it enhances them with custom logic for zone lifecycle management, making it resilient across assets and timeframes.
This originality justifies its closed-source nature—revealing the full interplay of fractal windowing, merge algorithms, and alert conditioning could dilute its edge. As an invite-only script, it provides clear value through premium features like timezone-aware DND, comprehensive holiday integration (e.g., Lunar New Year for HKSE), and state-aware alerts, which aren't replicated in free alternatives. Traders seeking an efficient, low-noise tool for institutional-level analysis will find it worth the access, as it delivers actionable insights that generic indicators overlook.
Disclaimer
This indicator assists in zone identification but does not guarantee success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
Multi TF - HTF→LTF OrderblocksMulti TF — HTF→LTF Orderblocks
Identify higher-timeframe (HTF) order blocks and project them onto your lower-timeframe (LTF) chart—clean, fast, and publication-ready.
The script automatically detects swing breaks on your chosen HTF, builds the originating order block, and renders that zone on your current chart so you can execute on lower timeframes with higher-timeframe context.
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How it works
HTF swing structure is tracked via pivot highs/lows and a user-selected break confirmation (Close or Wick).
On a valid break, the script backtracks to the last opposite candle and creates the HTF order block (wick-to-wick or body-only depending on your setting).
The OB is projected to the LTF and extended bar-by-bar until:
Mitigation: price penetrates at least 50% of the zone → the box is marked “old” (dimmed) or optionally auto-deleted.
Close-break: price closes beyond the far edge → zone is optionally removed immediately.
Each zone includes a centerline and an inside label showing the original HTF (e.g., “M15”, “H1”).
Key features
True HTF→LTF overlay: trade M1/M5 with M15/H1/H4 context.
Mitigation logic (≥50%): first meaningful touch turns the zone “old” or deletes it (your choice).
Close-break handling: auto-remove zones broken by close, to keep charts clean.
Overlap control: choose how to handle overlapping zones on the same side:
Keep Latest, Union (merge), or Intersection (refine).
Wicks vs. Bodies: build zones from full candle range or just the body.
Lightweight UI: only the relevant inputs in the panel; sensible defaults.
Alert included: fires on the first 50% mitigation of any fresh zone.
Performance-friendly limits: cap the number of active zones to fit Pine limits.
Inputs (quick overview)
HTF for Order Blocks: timeframe to scan (e.g., 15, 60, 240, D).
Swing Length (Pivot L/R): pivot sensitivity for structure.
Break Confirmation: Close (recommended) or Wick.
Zones use Wicks: on/off for wick-to-wick zones.
OB Lookback before Break: how far to search for the opposite candle.
Max Active Zones: hard cap for chart cleanliness & performance.
Delete on Close-Break: remove zones that are invalidated by a close.
Delete after Mitigation: remove once a 50% touch occurs.
Handle Overlap: None, Keep Latest, Union (merge), Intersection (refine).
Colors & Border: fresh/old zone colors (default ~35% opacity) and optional borders.
Default profile (as shipped):
Break by Close, zones use wicks, Union overlap handling, 250 lookback, 250 max zones, borders off, and HTF label printed inside each zone.
How to use (suggested workflow)
Pick an HTF (e.g., H1 for intraday) and drop to your execution TF (e.g., M5/M1).
Wait for price to tap ≥50% of a fresh OB → look for your LTF trigger (CHOCH, iFVG, PA).
Place SL beyond the zone (or beyond the LTF swing) and manage to your targets (e.g., 2R–3R or to the next HTF OB).
Keep charts clean by enabling Delete on Close-Break and (optionally) Delete after Mitigation.
Alerts
“OB: Zone berührt (Erstkontakt)” — triggers on the first ≥50% mitigation of any fresh zone.
Create additional TradingView alerts with this condition to get notified in real time.
Notes & limitations
Built with request.security(..., lookahead_off) to avoid future-bar peeking; zones only form after a confirmed HTF break.
As with all pattern-based tools, use alongside your risk management and a defined entry model.
Pine has strict limits on drawings; use Max Active Zones to balance coverage and performance.
Credits
Designed for traders who want HTF precision with LTF execution—a clean, opinionated OB overlay that focuses on what matters: fresh zones, first touch, and invalidation.
True Order Block (OB) True Order Block (OB)
This script automatically detects and plots Order Blocks (OBs) based on the presence of Fair Value Gaps (FVGs).
Only Order Blocks are displayed on the chart.
🔎 How it works
The script looks for Fair Value Gaps (FVGs) according to a relaxed 3-candle definition.
Once an FVG is detected:
For a Bullish FVG → the last bearish candle before the gap is marked as the Bullish Order Block.
For a Bearish FVG → the last bullish candle before the gap is marked as the Bearish Order Block.
OBs are extended into the future until price either:
mitigates the zone (optional auto-removal), or
the number of live OBs exceeds the user’s maximum (FIFO cleanup).
⚙️ User settings
Draw Order Blocks (enable/disable plotting)
Minimum OB length (how far each zone extends initially)
Remove OB after violation (auto delete invalidated zones)
Max active OBs (limit on displayed zones for clarity)
Bullish/Bearish OB colors
✅ Key features
Fully automated OB detection
No clutter – only OBs are plotted (FVG logic hidden in the background)
Smart cleanup: mitigated zones are removed automatically
Customizable colors & limits
⚠️ Notes
This tool is designed for educational and analytical purposes only.
It does not generate trade signals.
Always combine with your own strategy, market context, and risk management.
Smart support and Resistancehelps you find out where smart money has done bulk buying/selling.
the levels can give you confidence on your existing views and find high reward low risk setups.
Volume Reinforced Supply/Demand Zoneswhen trading supply and demand i found a way to see which zones are high quality zones. this indicator tries to do that for you. its not nearly as good as doing it manually, but its pretty decent. feel free to fine tune the settings and see which works best for you.
the indicator uses volume and price movement to draw supply and demand zones. if the zone is tested, it will change color to let you know, so you can decide whether or not to use the zone.
if a zone is broken, it will display a signal which tells you which candle broke through the zone.
you can change in the settings the requirements for an area to be considered a zone.
Futures Trade Entry Indicator (MTF)Work in Progress with the help of Claude. Not ready for active trading. Public for help improving. This will be a multi-timeframe futures trading indicator with supply/demand zones, Fair Value Gaps (FVGs), and sophisticated entry/exit logic.I've created a comprehensive Pine Script v6 indicator that matches all your specifications! Here's what the script includes:
## **Key Features Implemented:**
### **🔄 Multi-Timeframe Logic**
- **1H Chart Data**: Detects Supply Zones, Demand Zones, and Fair Value Gaps
- **Current Timeframe**: Monitors for re-entry and confirmation signals
### **📊 Zone Detection**
- **Supply Zones**: Identified using pivot highs with configurable strength
- **Demand Zones**: Identified using pivot lows with touch validation
- **Fair Value Gaps**: Both bullish and bearish FVGs detected automatically
- **Auto-Expiry**: Zones expire after 24 hours (configurable)
### **⚡ Entry Logic**
- **Dual Confirmation Required**:
- ✅ Engulfing candle pattern (bullish/bearish)
- ✅ Market structure shift (HH→LL or LL→HH)
- **Zone Re-entry**: Price must be within identified zones/FVGs
### **🎯 Probability System**
- **Smart Scoring**: Based on zone age, strength, and risk/reward ratio
- **Color-Coded**: Green (High), Yellow (Medium), Red (Low)
- **Real-time Calculation**: Updates with each potential entry
### **🎨 Visual Elements**
- **Colored Zones**: Supply (red), Demand (green), FVGs (blue/orange)
- **Entry Labels**: 🟩 LONG / 🟥 SHORT markers
- **Probability Labels**: Display confidence levels
- **Confirmation Shapes**: Triangle indicators for pattern completion
### **⚙️ Manual Controls**
All the requested toggles are available in the settings panel:
- Show/Hide Supply Zones
- Show/Hide Demand Zones
- Show/Hide FVGs
- Show/Hide Labels
- Show/Hide Probability
- Zone strength and expiry settings
- Custom colors for all elements
### **🔔 Alert System**
- Entry opportunity alerts
- Includes probability assessment
- Ticker symbol identification
## **Usage Instructions:**
1. **Apply to 15m chart** for active trading signals
2. **Configure settings** based on your preferences
3. **Set up alerts** for automated notifications
4. **Monitor probability levels** for trade quality assessment
The script automatically handles the complex multi-timeframe analysis while keeping the interface clean and user-friendly. All zones update dynamically and expire appropriately to avoid clutter.
Would you like me to adjust any specific parameters or add additional features?
FVG-Bully BearsFVG-Bully Bears Indicator
The FVG-Bully Bears indicator is a powerful tool designed to identify Fair Value Gaps (FVGs) on your TradingView charts. FVGs are price gaps that occur when the market moves sharply, leaving areas where little to no trading activity took place. These gaps often act as key support or resistance zones, making them valuable for traders looking to spot potential reversal or continuation points.
This indicator highlights Bullish FVGs (potential support zones) and Bearish FVGs (potential resistance zones) with customizable boxes and labels, helping you visualize these critical price levels with ease.
Features
Bullish and Bearish FVGs: Detects gaps where price has left untested areas, marking bullish (green) and bearish (red) FVGs.
Customizable Display: Choose to show or hide bullish/bearish FVGs, adjust colors, and control box visibility.
FVG Labels: Optional labels on each FVG box to clearly identify bullish or bearish gaps, with adjustable text size.
Delete Filled FVGs: Automatically removes FVGs once price revisits and fills the gap, keeping your chart clean.
Box Extension: Extend FVG boxes into the future (up to 100 bars) to track unfilled gaps over time.
Performance Optimization: Limits the number of displayed FVG boxes (default: 50) to ensure smooth chart performance.
How It Works
Bullish FVG: Identified when the high of a candle two bars ago is lower than the low of the current candle, indicating a sharp upward move.
Bearish FVG: Identified when the low of a candle two bars ago is higher than the high of the current candle, indicating a sharp downward move.
FVGs are drawn as colored boxes (green for bullish, red for bearish) and can include labels for easy identification.
If enabled, filled FVGs (where price revisits the gap) are deleted to reduce chart clutter.
Settings
FVG Settings
Show Bullish FVGs: Enable/disable bullish FVG boxes (default: enabled).
Show Bearish FVGs: Enable/disable bearish FVG boxes (default: enabled).
Bullish FVG Color: Customize the color and transparency of bullish FVG boxes (default: light green).
Bearish FVG Color: Customize the color and transparency of bearish FVG boxes (default: light red).
Max FVG Boxes: Set the maximum number of FVG boxes displayed (default: 50, range: 1–500).
Extend FVG Boxes (Bars): Extend FVG boxes into the future by a specified number of bars (default: 8, range: 0–100).
Show FVG Labels: Enable/disable text labels on FVG boxes (default: enabled).
Label Size: Choose the size of FVG labels (options: Tiny, Small, Normal, Large, Huge; default: Small).
Delete Filled FVGs: Automatically remove FVGs when price fills the gap (default: enabled).
How to Use
Add the FVG-Bully Bears indicator to your TradingView chart.
Customize the settings to match your trading style (e.g., adjust colors, toggle labels, or change box extensions).
Watch for green (bullish) and red (bearish) FVG boxes:
Bullish FVGs: Potential support zones where price may bounce or consolidate.
Bearish FVGs: Potential resistance zones where price may reverse or stall.
Use FVGs in combination with other indicators (e.g., support/resistance, trendlines) for better trade decisions.
If “Delete Filled FVGs” is enabled, filled gaps will disappear, keeping your chart focused on active FVGs.
Ideal For
Swing Traders: Identify key price zones for entries or exits.
Day Traders: Spot intraday support/resistance levels created by rapid price moves.
Price Action Traders: Use FVGs to confirm market structure and potential reversal points.
Notes
For best performance, keep “Max FVG Boxes” at a reasonable value (e.g., 50) to avoid chart lag.
FVGs are most effective on lower timeframes (e.g., 5m, 15m, 1H) but can be used on any timeframe.
Combine with other tools like volume or trend indicators for a complete trading strategy.
Enjoy trading with FVG-Bully Bears and take advantage of Fair Valu
Boring w/Prev LeginThis TradingView Pine Script highlights “boring” candles that follow a specific “legin” candle, based on strict supply/demand zone and price action rules inspired by your trading strategy.
A candle will be highlighted if it meets all of these:
The current candle is “boring” (low volatility, small range).
The previous candle was a “legin” (high volatility, big move).
The previous “legin” was much larger than the current “boring” candle (by TR or size).
The boring candle has both upper and lower wicks (not a marubozu).
The legin candle had a strong body (≥70% of its size) and a wick on its close side (showing strong price rejection).
Vera Support Resistance FinderVera Support & Resistance Zones is an educational technical analysis tool that automatically detects potential support and resistance levels based on pivot highs and lows.
Key Features:
Identifies support and resistance zones using pivot structures.
Marks previously broken levels and displays how many times each level has been broken. (This feature can be toggled on or off.)
Shows the distance from current price to each level with dynamic labels.
Groups nearby levels within a user-defined percentage range and shows how many points are merged into each zone. (This percentage is adjustable and the feature can be enabled/disabled.)
Optimization is possible through adjustable depth and level count parameters.
Each timeframe and each chart may require different settings. It’s recommended to adjust the depth, point count, and percentage settings depending on the structure of the asset and timeframe being analyzed.
Color Coding:
Green: Support
Red: Resistance
Navy Blue: Levels acting as both support and resistance
Important Note:
This indicator is developed for educational and visual assistance purposes only.
While it helps identify price reaction zones, manual drawing and validation are strongly recommended.
Since it works based on a defined algorithm, it may not capture critical levels as precisely as the human eye and experience can.
— Developer: C. İnanç ÖZYALIM | Dedicated to Vera 💜
