SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix
Version: PineScript™ v6
📌 Description
The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions.
Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence.
The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time.
🚀 Points of Innovation
First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis
Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations
Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth
Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence
Configurable minimum occurrence threshold filters out statistically insignificant predictions
Real-time probability visualization with graphical confidence bars
🔧 Core Components
Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking
Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification
Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions
Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup
Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern
🔥 Key Features
Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations
Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size
Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction
Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus
Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability
Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge
🎨 Visualization
Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities
Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance
Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations
Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification
Customizable Table Position: Place probability display in any corner of your chart
📖 Usage Guidelines
N-Gram Configuration
N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data.
Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior.
Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability.
SMC Detection Settings
Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis.
FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps.
Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations.
Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points.
Display Settings
Show Probability Table: Toggle the probability matrix display on/off.
Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display.
Show SMC Markers: Toggle on-chart pattern labels.
✅ Best Use Cases
Anticipating continuation or reversal patterns after liquidity sweeps
Identifying high-probability BOS/CHoCH sequences for trend trading
Filtering FVG and Order Block signals based on historical follow-through rates
Building confluence by comparing predicted patterns with other technical analysis
Studying how SMC patterns typically sequence on specific instruments or timeframes
⚠️ Limitations
Predictions are based solely on historical pattern frequency and do not account for fundamental factors
Low sample counts produce unreliable probabilities—always check the Samples display
Market regime changes can invalidate historical transition patterns
The indicator requires sufficient historical data to build meaningful probability matrices
Pattern detection uses standardized parameters that may not capture all institutional activity
💡 What Makes This Unique
Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together
Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages
Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior
Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework
🔬 How It Works
1. Pattern Detection Phase
Each bar is analyzed for SMC formations using configurable detection parameters
A priority hierarchy assigns the most significant pattern when multiple detections occur
2. Sequence Encoding Phase
Detected patterns are stored in a rolling history buffer of recent classifications
The current N-gram context is encoded into a unique integer identifier
3. Matrix Construction Phase
Historical pattern sequences are iterated to count transition occurrences
Each context-to-next-pattern transition increments the appropriate matrix cell
4. Probability Calculation Phase
Current context ID retrieves corresponding transition counts from the matrix
Raw counts are converted to percentages based on total context occurrences
5. Visualization Phase
Probabilities are sorted and the top N predictions are displayed in the table
Chart markers identify the current detected pattern for visual reference
💡 Note:
This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
Indicateurs et stratégies
FlowTrinity — Crypto Dominance Rotation IndexFlowTrinity — Crypto Dominance Rotation Index
(Tracks BTC / Stablecoin / Altcoin dominance flows with standardized oscillators)
⚪ Overview
FlowTrinity decomposes total crypto market structure into three capital-flow regimes — BTC dominance, Stablecoin dominance, and Altcoin dominance — each normalized into oscillator form. Additionally, a fourth histogram tracks Total Market Cap expansion/contraction relative to BTC+Stable capital, revealing underlying rotation pressure not visible in raw dominance charts.
Each component is standardized through SMA/STD normalization, producing smoothed 0–100 style oscillations that highlight overbought/oversold rotation extremes, risk-on/risk-off transitions, and capital cycle inflection zones.
⚪ Flow Components
Stablecoin Dominance Oscillator —White line
Measures the combined USDT + USDC share of market dominance.
High values indicate increased hedging behavior or sidelined capital.
Low values coincide with renewed risk appetite and capital deployment into crypto assets.
Altcoin Dominance Oscillator — Orange Line
Tracks the share of liquidity rotating into altcoins (Total – BTC – Stable).
Rising values indicate broad market expansion and speculative activity.
Falling values reflect flight-to-safety or concentration back into majors.
BTC Dominance Oscillator — Purple line(off by default
Normalized BTC dominance revealing transitions between Bitcoin-led markets and altcoin-led cycles. Useful for identifying BTC absorption phases vs. altcoins dispersion regimes.
Total–BTC–Stable MarketCap Difference Histogram — histogram
A normalized histogram of total market cap change minus BTC+Stable market cap change.
• Positive → altcoin segment expanding
• Negative → capital retreating into BTC or stables
Acts as a structural layer confirming or contradicting dominance-based signals.
Normalization Logic
All flows use SMA + standard deviation scaling (lookback 7 / smoothing 7), enabling consistent comparison across unrelated dominance and market-cap metrics.
⚪ Use Cases
• Identify shifts between BTC-led and alt-led markets
• Detect early signs of liquidity rotation
• If Stablecoin OSC is oversold, liquidity may soon rotate to BTC or Altcoins, signaling potential price moves.
• If Stablecoin OSC is overbought and Altcoin OSC is oversold, it can indicate an early buying opportunity in Altcoins.
• Watching these oscillator positions helps spot early market rotations and plan entries or exits.
snapshot
Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice or investment guidance. Cryptocurrency trading involves significant risk; you are solely responsible for your trading decisions, based on your financial objectives and risk tolerance. The author assumes no liability for any losses arising from the use of this tool.
VWAP + EMA9 With SignalsThis script is for scalping on the 5 minute timeframe. It contains signals that indicate intersection of VWAP by the EMA9. It contains Buy signals when a candle closes above both lines indicating a quick continuation of a long position (quick scalp) as well as Sell signals when a candle closes below both lines indicating a quick continuation of a short position (quick scalp). Please note that i do not recommend entries at Buy and Sell signals during Accumulation/Consolidation. Positions should be taken with volume.
Candlestick Pattern Identifier (Extended + Alerts)Candlestick Pattern Identifier (Extended + Alerts)
Reversal Reactor - Multi-Pattern Candle Reversal ScannerReversal Reactor - Multi-Pattern Candle Reversal Scanner
⚪ Overview
Reversal Reactor is a comprehensive candle-pattern and volume-pressure detection engine designed to highlight possible reversal environments.
It identifies abnormal volume surges, major single-candle reversal structures, and multi-candle formations such as Morning/Evening Stars — all refined through adjustable shadow-to-body ratios and adaptive lookback logic.
⚪ Core Features
Big-Volume Candle Detection : green or red full body.
Flags candles with unusually high volume relative to a volume EMA. These moments often reflect climactic pushes, absorption, forced liquidations, or rapid sentiment flips.
Reversal Candle Pattern Suite
A unified engine that detects major reversal structures with individual on/off control:
• Engulfing — Strong directional assertion via body-wide engulfing of prior candle.
• Morning Star — Three-stage bullish reversal following sustained selling.
• Evening Star — Bearish transition structure after an extended advance.
• Hammer — Long lower or upper wick showing strong rejection from one side of the market..
• Shooting Star — Long upper wick showing aggressive upside rejection.
• Hanging Man — Bearish exhaustion signal forming near range highs.
• Doji — Neutral indecision candle marking potential transition zones.
Shadow-to-Body Ratio Control
Fine-tunes wick-dominant pattern detection (hammer/star types) by requiring the shadow to exceed the body by a customizable multiplier, reducing low-quality signals.
Adaptive Lookback Logic
Allows users to adjust historical evaluation depth, improving sensitivity across different volatility regimes and asset behaviors. Default setting is recommended.
⚪ How Traders Use It
• Spot exhaustion near key support/resistance.
• Validate reversal attempts with volume confirmation.
• Filter for clean candle structures before entering momentum shifts.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice, nor does it guarantee performance or profitability. Always conduct your own analysis and manage risk appropriately when trading.
Hash Ratings EngineHash Ratings Engine - Technical Consensus Strategy
A systematic trading strategy that harnesses TradingView's Technical Ratings to generate high-conviction entries with institutional-grade risk management.
What It Does
This strategy aggregates the consensus of 26+ technical indicators (RSI, MACD, Stochastics, multiple Moving Averages, etc.) into a single actionable signal. When enough indicators align bullish or bearish, the engine triggers an entry. Built-in trend filtering and ATR-based exits keep you on the right side of the market.
Key Features
Trend Filter - Only takes longs in uptrends, shorts in downtrends. This single filter typically improves results by 20-40% by avoiding counter-trend trades.
ATR-Based Risk Management - Stop loss and trailing stops adapt to current market volatility. Tight stops in calm markets, wider stops in volatile conditions.
Cooldown System - After a losing trade, the strategy waits before re-entering. This prevents the consecutive loss streaks that destroy accounts.
Clean Visuals - Fluorescent entry/exit signals with price level references. See exactly where you got in and out.
Settings Guide
Indicator Timeframe: Leave blank for current chart. Use higher timeframe for fewer, higher-quality signals.
Rating Source: "All" for balanced approach. "MAs" for trend-following. "Oscillators" for mean-reversion.
Entry Thresholds
Strong Signal Threshold: Higher = fewer trades but better conviction. Start at 0.5, test 0.4-0.6.
Risk Management
ATR Period: 12 is responsive, 14 is standard, 20+ is smoother.
Stop Loss: 2-3x ATR for tight stops, 3.5-4x for moderate, 5x+ for wide.
Trail Activation: How far price must move in profit before trailing begins.
Trail Offset: How closely the trail follows price.
Trend Filter
EMA Length: 150 works well on 4H charts. Use 100 for lower timeframes, 200 for daily.
Trade Timing
Cooldown: Keep enabled. 5 bars is a good starting point.
Best Practices
Start with default settings and backtest on your preferred instrument. Adjust the Strong Signal Threshold first - this has the biggest impact on trade frequency. Then tune the EMA length to match your timeframe. Finally, optimize the ATR multipliers for your risk tolerance.
Works on any liquid market - crypto, forex, stocks, futures. Higher timeframes (4H, Daily) tend to produce cleaner signals than lower timeframes.
Disclaimer
Past performance does not guarantee future results. Always backtest thoroughly and use proper position sizing. This strategy is for educational purposes - trade at your own risk.
Kinetic EMA & Volume with State EngineKinetic EMA & Volume with State Engine (EMVOL)
1. Introduction & Concept
The EMVOL indicator converts a dense family of EMA signals and volume flows into a compact “state engine”. Instead of looking at individual EMA lines or simple crossovers, the script treats each EMA as part of a kinetic vector field and classifies the market into interpretable states:
- Trend direction and strength (from a grid of prime‑period EMAs).
- Volume regime (expansion, contraction, climax, dry‑up).
- Order‑flow bias via delta (buy versus sell volume).
- A combined scenario label that summarises how these three layers interact.
The goal is educational: to help traders see that moving averages and volume become more meaningful when observed as a structure, not as isolated lines. EMVOL is therefore designed as a real‑time teaching tool, not as an automatic signal generator.
2. Volume Settings
Group: “Volume Settings”
A. Calculation Method
- Geometry (Source File) – Default mode.
Buy and sell volume are estimated from each candle’s geometry: the close is compared to the high/low range and the bar’s total volume is split proportionally between buyers and sellers. This approximation works on any TradingView plan and does not require lower‑timeframe data.
- Intrabar (Precise) – Reconstructs buy/sell volume using a lower timeframe via requestUpAndDownVolume(). The script asks TradingView for historical intrabar data (e.g., 15‑second bars) and builds buy/sell volume and delta from that stream. This mode can produce a more accurate view of order flow, but coverage is limited by your account’s history limits and the symbol’s available lower‑timeframe data.
B. Intrabar Resolution (If Precise)
- Intrabar Resolution (If Precise) – Selected only when the calculation method is “Intrabar (Precise)”. It defines which lower timeframe (for example 15S, 30S, 1m) is used to compute up/down volume. Smaller intrabar timeframes may give smoother and more granular deltas, but require more historical depth from the platform.
When “Intrabar (Precise)” is active, the dashboard’s extended section shows the resolution and the number of bars for which precise volume has been successfully retrieved, in the format:
- Mode: Intrabar (15S) – where N is the count of bars with valid high‑resolution volume data.
In Geometry mode this counter simply reflects the processed bars in the current session.
3. Kinetic Vector Settings
Group: “Kinetic Vector”
A. Vector Window
- Vector Window – Controls the temporal smoothing applied to the aggregated vectors (trend, volume, delta, etc.). Internally, each bar’s vector value is averaged with a simple moving window of this length.
- Shorter windows make the state engine more reactive and sensitive to local swings.
- Longer windows make the states more stable and better suited to higher‑timeframe structure.
B. Max Prime Period
- Max Prime Period – Sets the largest prime number used in the EMA grid. The engine builds a family of EMAs on prime lengths (2, 3, 5, 7, …) up to this limit and converts their slopes into angles.
- A higher limit increases the number of long‑horizon EMAs in the grid and makes the vectors sensitive to broader structure.
- A lower limit focuses the analysis on short- and medium‑term behaviour.
C. Price Source
- Price Source – The price series from which the kinetic EMA grid is built (e.g., Close, HLC3, OHLC4). Changing the source modifies the context that the state engine is reading but does not change the core logic.
4. State Engine Settings
Group: “State Engine Settings”
These inputs define how the continuous vectors are translated into discrete states.
A. Trend Thresholds
- Strong Trend Threshold – Value above which the trend vector is treated as “extreme bullish” and below which it is “extreme bearish”.
- Weak Trend Threshold – Inner boundary between neutral and directional conditions.
Roughly:
- |trend| < weak → Neutral trend state.
- weak < |trend| ≤ strong → Bullish/Bearish.
- |trend| > strong → Extreme Bullish/Extreme Bearish.
B. Volume Thresholds
- Volume Climax Threshold – Upper bound at which volume is considered “climax” (unusually expanded participation).
- Volume Expansion Threshold – Boundary for normal expansion versus contraction.
Conceptually:
- Volume above “expansion” indicates increasing activity.
- Volume near or above “climax” marks extreme participation.
- Negative values below the symmetric thresholds map to contraction and extreme dry‑up (liquidity vacuum) states.
C. Delta Thresholds
- Strong Delta Threshold – Cut‑off for extreme buying or selling dominance in delta.
- Weak Delta Threshold – Threshold for mild buy/sell bias versus neutral order flow.
Combined with the sign of the delta vector, these thresholds classify order flow as:
- Extreme Buy, Buy‑Dominant, Neutral, Sell‑Dominant, Extreme Sell.
D. State Hysteresis Bars
- State Hysteresis Bars – Minimum number of bars for which a new state must persist before the engine commits to the change. This prevents the dashboard from flickering during fast spikes and emphasises persistent market behaviour.
- Smaller values switch states quickly; larger values demand more confirmation.
5. Visual Interface
Group: “Visual Interface”
A. Ribbon Base Color
- Ribbon Base Color – Base hue for the multi‑layer EMA ribbon drawn around price. The script plots a dense grid of hidden EMAs and fills the gaps between them to form a semi‑transparent band. Narrow, overlapping bands hint at compression; wider separation hints at dispersion across EMA horizons.
B. Show Dashboard
- Show Dashboard – Toggles the on‑chart table which summarises the current state engine output. Disable this if you only want to keep the EMA ribbon and volume‑based structure on the price chart.
C. Color Theme
- Color Theme – Switch between a dark and light style for the dashboard background and text colours so that the table matches your chart theme.
D. Table Position
- Table Position – Places the dashboard at any corner or edge of the chart (Top / Middle / Bottom × Left / Centre / Right).
E. Table Size
- Table Size – Changes the dashboard’s text size (Tiny, Small, Normal, Large). Use a larger size on high‑resolution screens or when streaming.
F. Show Extended Info
- Show Extended Info – Adds diagnostic rows under the main state summary:
- Mode / Primes / Vector – Shows the current calculation mode (Geometry / Intrabar), the selected intrabar resolution and coverage in bars ( ), how many prime periods are active, and the vector window.
- Values – Displays the current aggregated vectors:
- P: price vector
- V: volume vector
- B: buy‑volume vector
- S: sell‑volume vector
- D: delta vector
Values are bounded between ‑1 and +1.
- Volume Stats – Prints the last bar’s raw buy volume, sell volume and delta as formatted numbers.
- Footer – A final row with the symbol and current time: #SYMBOL | HH:MM.
These extended rows are meant for inspecting how the engine is behaving under the hood while you scroll the chart and compare different assets or timeframes.
6. Language Settings
Group: “Language Settings”
- Select Language – Switches the entire dashboard between English and Turkish.
The underlying calculations and scenario logic are identical; only the labels, titles and comments in the table are translated.
7. Dashboard Structure & Reading Guide
The table summarises the current situation in a few rows:
1. System Header – Shows the script name and the active calculation method (“Geometry” or “Intrabar”).
2. Scenario Title – High‑level description of the current combined scenario (e.g., “Trending Buy Confirmed”, “Sideways Balanced”, “Bull Trap”, “Blow‑Off Top”). The background colour is derived from the scenario family (trending, compression, exhaustion, anomaly, etc.).
3. Bias / Trend Line – States the dominant trend bias derived from the trend vector (Extreme Bullish, Bullish, Neutral, Bearish, Extreme Bearish).
4. Signal / Consideration Line – A short sentence giving qualitative guidance about the current state (for example: continuation risk, exhaustion risk, trap‑like behaviour, or compression). This is deliberately phrased as a consideration, not as a direct trading signal.
5. Trend / Volume / Delta Rows – Three separate rows explain, in plain language, how the trend, volume regime and delta are classified at this bar.
6. Extended Info (optional) – Mode / primes / vector settings, current vector values, and last‑bar volume statistics, as described above.
Together, these rows are meant to be read as a narrative of what price, volume and order‑flow are doing, not as mechanical instructions.
8. State Taxonomy
The state engine organizes market behaviour in three stages.
8.1 Trend States (from the Price Vector)
- Extreme Bullish Trend – The prime‑grid price vector is strongly upward; most EMAs are aligned to the upside.
- Bullish Trend – Upward bias is present, but less extreme.
- Neutral Trend – EMAs are mixed or flat; price is effectively sideways relative to the grid.
- Bearish Trend – Downward bias, with the EMA grid sloping down.
- Extreme Bearish Trend – Strong downside alignment across the grid.
8.2 Volume Regime States (from the Volume Vector)
- Volume Climax (Buy‑Side) – Strong positive volume vector; participation is unusually high in the current direction.
- Volume Expansion – Activity above normal but below the climax threshold.
- Neutral Volume – No major expansion or contraction versus recent history.
- Volume Contraction – Activity is drying up compared with the past.
- Extreme Dry‑Up / Liquidity Vacuum – Very low participation; the market is thin and prone to slippage.
8.3 Delta Behaviour States (from the Delta Vector)
- Extreme Buy Delta – Buying pressure dominates strongly.
- Buy‑Dominant Delta – Buy volume exceeds sell volume, but not at an extreme.
- Neutral Delta – Buy and sell flows are roughly balanced.
- Sell‑Dominant Delta – Selling pressure dominates.
- Extreme Sell Delta – Aggressive, one‑sided selling.
8.4 Combined Scenario State s
EMVOL uses the three base states above to generate a single scenario label. These scenarios are designed to be read as context, not as entry or exit signals.
Trending Scenarios
1. Trending Buy Confirmed
- Bullish or extreme bullish trend, supported by expanding or climax volume and buy‑side delta.
- Educational idea: a healthy uptrend where both participation and order flow agree with the direction.
2. Trending Buy – Weak Volume
- Bullish trend, but volume is neutral, contracting or in dry‑up while delta is still buy‑side.
- Educational idea: price is advancing, yet participation is thinning; trend continuation becomes more fragile.
3. Trending Sell Confirmed
- Bearish or extreme bearish trend, with expanding or climax volume and sell‑side delta.
- Educational idea: strong downtrend with both volume and order‑flow confirmation.
4. Trending Sell – Weak Volume
- Bearish trend, but volume is neutral, contracting or very low while delta remains sell‑side.
- Educational idea: downside continues but with limited participation; vulnerable to short‑covering.
Sideways / Range Scenarios
5. Sideways Balanced
- Neutral trend, neutral delta, neutral volume.
- Classic range environment; low directional edge, suitable for observation and context rather than trend trading.
6. Sideways with Buy Pressure
- Neutral trend, but buy‑side delta is dominant or extreme.
- Range with latent accumulation: price may still appear sideways, but buyers are quietly more active.
7. Sideways with Sell Pressure
- Neutral trend with dominant or extreme sell‑side delta.
- Distribution‑like environment where price chops while sellers are gradually more aggressive.
Exhaustion & Volume Extremes
8. Exhaustion – Buy Risk
- Extreme bullish trend, volume climax and strong buy‑side delta.
- Educational idea: very strong up‑move where both participation and delta are already stretched; risk of exhaustion or blow‑off.
9. Exhaustion – Sell Risk
- Extreme bearish trend, volume dry‑up and strong sell‑side delta.
- Suggests one‑sided selling into increasingly thin liquidity.
10. Volume Climax (Buy)
- Neutral trend, neutral delta, but volume at climax levels.
- Often associated with a “big event” bar where participation spikes without a clear directional commitment.
11. Volume Climax (Sell / Dry‑Up)
- Neutral trend and neutral delta, while the volume vector indicates an extreme dry‑up.
- Highlights a stand‑still episode: very limited interest from both sides, increasing the sensitivity to future impulses.
Divergences
12. Divergence – Bullish Context
- Bullish or extreme bullish trend, but delta has faded back to neutral.
- Price trend continues while order‑flow conviction softens; can precede pauses or complex corrections.
13. Divergence – Bearish Context
- Bearish or extreme bearish trend with a neutral delta.
- Downtrend persists, but selling pressure no longer dominates as clearly.
Consolidation & Compression
14. Consolidation
- Default state when no specific pattern dominates and the market is broadly balanced.
- Educational use: treat this as a “no strong edge” label; focus on structure rather than direction.
15. Breakout Imminent
- Neutral trend with contracting volume.
- Compression phase where energy is building up; often precedes transitions into trending or shock scenarios.
Traps & Hidden Divergences
16. Bull Trap
- Bullish trend, with neutral or contracting volume and sell‑side delta.
- Price appears strong, but order‑flow shifts against it; often seen near fake breakouts or failing rallies.
17. Bear Trap
- Bearish trend, neutral or contracting volume, but buy‑side delta.
- Downtrend “looks” intact, while buyers become more aggressive underneath the surface.
18. Hidden Bullish Divergence
- Bullish trend, contracting volume, but strong buy‑side delta.
- Educational idea: price dips or slows while aggressive buyers step in, often inside an ongoing uptrend.
19. Hidden Bearish Divergence
- Bearish trend, volume expansion and strong sell‑side delta.
- Reinforced downside pressure even if price is temporarily retracing.
Reversal & Transition Patterns
20. Reversal to Bearish
- Neutral trend, volume climax and strong sell‑side delta.
- Suggests that heavy selling appears at the top of a move, turning a previously neutral or rising context into potential downside.
21. Reversal to Bullish
- Neutral trend, extreme volume dry‑up and strong buy‑side delta.
- Often associated with selling exhaustion where buyers start to take control.
22. Indecision Spike
- Neutral trend with extreme volume (climax or dry‑up) but neutral delta.
- Crowd participation changes sharply while order‑flow remains undecided; treat as an informational spike rather than a direction.
Extended Compression & Acceleration
23. Coiling Phase
- Neutral trend, contracting volume, and delta that is neutral or only mildly one‑sided.
- Extended compression where price, volume and delta all contract into a tightly coiled range, often preceding a strong move.
24. Bullish Acceleration
- Bullish trend with volume expansion and strong buy‑side delta.
- Uptrend not only continues but gains kinetic strength; educationally, this illustrates how trend, volume and delta align in the strongest phases of a move.
25. Bearish Acceleration
- Bearish trend with volume expansion and strong sell‑side delta.
- Mirror image of Bullish Acceleration on the downside.
Trend Exhaustion & Climax Reversal
26. Bull Exhaustion
- Bullish or extreme bullish trend, with contraction or dry‑up in volume and buy‑side or neutral delta.
- The move has already travelled far; participation fades while price is still elevated.
27. Bear Exhaustion
- Bearish or extreme bearish trend, with volume climax or contraction and sell‑side or neutral delta.
- Down‑move may be approaching a point where additional selling pressure has diminishing impact.
28. Blow‑Off Top
- Extreme bullish trend, volume climax and extreme buy delta all at once.
- Classic blow‑off behaviour: price, volume and order‑flow are simultaneously stretched in the same direction.
29. Selling Climax Reversal
- Extreme bearish trend with extreme volume dry‑up and extreme sell‑side delta.
- Marks a very aggressive capitulation phase that can precede major rebounds.
Advanced VSA / Anomaly Scenarios
30. Absorption
- Typically neutral trend with expanding or climax volume and extreme delta (either buy or sell).
- Educational focus: large participants are aggressively absorbing liquidity from the opposite side, while price remains relatively contained.
31. Distribution
- Scenario where volume remains elevated while directional conviction weakens and the trend slows.
- Represents potential “selling into strength” or “buying into weakness”, depending on the active side.
32. Liquidity Vacuum
- Combination of thin liquidity (extreme dry‑up) with a directional trend or strong delta.
- Highlights environments where even small orders can move price disproportionately.
33. Anomaly / Shock Event
- Triggered when the vector z‑scores detect rare combinations of price, volume and delta behaviour that deviate from their own historical distribution.
- Intended as a warning label for unusual events rather than a specific tradeable pattern.
9. Educational Usage Notes
- EMVOL does not produce mechanical “buy” or “sell” commands. Instead, it classes each bar into an interpretable state so that traders can study how trends, volume and order‑flow interact over time.
- A common exercise is to overlay your usual EMA crossovers, support/resistance or price patterns and observe which EMVOL scenarios appear around entries, exits, traps and climaxes.
- Because the vectors are normalized (bounded between ‑1 and +1) and then discretized, the same conceptual states can be compared across different symbols and timeframes.
10. Disclaimer & Educational Purpose
This indicator is provided strictly as an educational and analytical tool. Its purpose is to help visualise how price, volume and order‑flow interact; it is not designed to function as a stand‑alone trading system.
Please note:
1. No Automated Strategy – The script does not implement a complete trading strategy. Scenario labels and dashboard messages are descriptive and should not be followed as unconditional entry or exit signals.
2. No Financial Advice – All information produced by this indicator is general market analysis. It must not be interpreted as investment, financial or trading advice, or as a recommendation to buy or sell any instrument.
3. Risk Warning – Trading and investing involve substantial risk, including the risk of loss. Always perform your own analysis, use appropriate position sizing and risk management, and consult a qualified professional if needed. You are solely responsible for any decisions made using this tool.
4. Data Precision & Platform Limits – The “Intrabar (Precise)” mode depends on the availability of high‑resolution historical data at the chosen intrabar timeframe. If your TradingView plan or the symbol’s history does not provide sufficient depth, this mode may only partially cover the visible chart. In such cases, consider switching to “Geometry (Source File)” for a fully populated view.
CHOCH & Liquidity Sweep Detectorso think of this one as an upgraded version from the previous liquidity sweep and reversal indicator i shared. This one:
Identifies when price wicks above a swing high then closes below it (bearish sweep 💧)
Identifies when price wicks below a swing low then closes above it (bullish sweep 💧)
Orange labels mark the sweeps with dashed lines showing the liquidity level
CHOCH (Change of Character) Detection
After a liquidity sweep, it watches for structure breaks
Bearish CHOCH: After bullish sweep, price breaks below previous structure low (🔴 SHORT setup)
Bullish CHOCH: After bearish sweep, price breaks above previous structure high (🟢 LONG setup)
Market Structure Tracking
Shows current structure highs/lows with dotted lines
Tracks whether market is in bullish, bearish, or neutral trend
Dashboard (bottom-right)
Shows current trend direction
Liquidity sweep status
CHOCH confirmation
Setup Ready alert when both conditions align
Clear action recommendation
How to use with tf alignment indicator:
Apply both indicators to your 1hr/4hr chart
Wait for alignment (Daily/Weekly/Monthly all bearish or bullish)
Look for liquidity sweep (💧 label appears)
Wait for CHOCH (big red/green label with "CHOCH")
Enter on retest of the broken structure level
HVTC 1HVTC – SMC Market Structure & Trend Indicator
HVTC is a Smart Money Concepts–based tool that helps traders visualize market structure and trend direction with clarity.
Features:
CHoCH & BOS Detection
Automatically identifies structural shifts using true SMC logic and labels them directly on the chart.
Trend Filter
Confirms bullish or bearish conditions using an internal trend system to keep trades aligned with the major direction.
EMA 25 Guide
EMA 25 acts as dynamic support/resistance, helping define momentum and bias.
Alerts (Optional)
Notify traders when CHoCH/BOS or key retests occur—ideal for those who don’t monitor charts continuously.
Use Cases:
Works for Crypto, Forex, Gold, Indices, and Stocks across all timeframes. Helps improve entries, exits, and overall market understanding based on institutional structure.
Not financial advice. Use with proper risk management.
Tamil | Trend Signal Dashboard for trading“Tamil | Trend Signal in Dashboard” is a multi-confirmation trend and signal tool that combines Supertrend, RSI/ADX trend strength, and dual QQE into one clean dashboard on the chart. It only prints STRONG BUY / STRONG SELL when all components align, and it also gives clear, rule-based exit signals.
⸻
What it uses
• RSI + ADX + ATR trend block
• ADX (with custom length & threshold) to measure trend strength
• +DI / –DI to define bullish or bearish direction
• Optional session filter so signals only appear in your trading window
• Custom Supertrend
• ATR-based bands with adjustable period & multiplier
• Plots trend line on chart and shows Buy/Sell flip labels when Supertrend reverses
• Dual QQE MOD engine
• Two QQE/RSI streams (primary & secondary)
• Bollinger bands around QQE line to confirm true momentum breakouts
• Defines QQE Bullish / Bearish states
• Secondary RSI Histogram logic
• Tracks RSI distance from the 50 line
• Detects “peak & decline” on the histogram for momentum-based exits
⸻
Signals & Exits
• Entry
• Strong Buy: Supertrend bullish + strong ADX + DI bullish + QQE bullish
• Strong Sell: Supertrend bearish + strong ADX + DI bearish + QQE bearish
• Background is softly colored green/red while alignment is active
• Exit (configurable)
• Alignment lost (trend components no longer agree), and/or
• First peak-and-decline in the secondary RSI histogram
• Shows Exit Buy / Exit Sell markers and fires dedicated alerts
⸻
Dashboard & Alerts
A compact table in the top-right shows live status of:
• Supertrend
• ADX value & strength check
• Direction from DI
• QQE state
• Secondary RSI histogram slope
• Overall Alignment and current Signal (Hold / Strong Buy / Strong Sell / Exit)
FVG with Fibonacci Levels [MHA Finverse]FVG with Fibonacci Levels - Professional Fair Value Gap Indicator
This advanced Fair Value Gap (FVG) indicator automatically identifies and tracks market imbalances with integrated Fibonacci retracement levels, providing traders with precise entry and exit opportunities.
Key Features:
Smart Gap Detection
• Automatically identifies bullish and bearish fair value gaps in real-time
• Customizable minimum gap percentage filter to avoid noise
• Visual color-coded boxes for easy identification
Fibonacci Integration
• Built-in 0.5 and 0.618 Fibonacci retracement levels
• Fully customizable fib levels, colors, and line styles
• Helps identify optimal entry zones within each gap
Intelligent Gap Management
• Tracks multiple gaps simultaneously (up to 20)
• Automatic gap mitigation detection (Close or Wicks)
• Option to remove or highlight filled gaps
• Auto-hide boxes after specified bar count
Advanced Alert System
• Alerts when gaps are filled
• Fibonacci level touch alerts for both 0.5 and 0.618 levels
• Separate alerts for bullish and bearish setups
• Customizable alert preferences
Clean Visual Display
• Transparent boxes that don't clutter your chart
• Extending lines that update in real-time
• Customizable colors for both bullish and bearish gaps
• Option to change border style when gaps are filled
Perfect For:
Smart Money Concepts (SMC) traders, Price Action traders, and anyone looking to trade market structure and liquidity gaps with precision.
How to Use:
The indicator draws boxes around identified fair value gaps and extends them forward until they are filled. Fibonacci levels within each gap provide optimal entry zones. Set up alerts to get notified when price interacts with these key levels.
Credits
Special thanks to Quant Vue for their code examples and inspiration that contributed to the development of this indicator.
Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss. Always conduct your own research and consider your risk tolerance before making any trading decisions. Past performance does not guarantee future results.
Daily Buy Signal – RSI/EMA21
Daily Buy Signal – RSI/EMA21
A simple technical signal that identifies potential daily buy opportunities using RSI and EMA21 alignment.
This script generates a daily buy signal when momentum and trend strength align.
The signal triggers when the price closes above the 21-period EMA and the RSI(14) crosses above the 50 level, or when both the RSI stays above 50 and the price shifts from closing below the EMA21 to closing above it.
A label is plotted below the candle, and the script includes an alert condition so users can receive real-time notifications.
Quicksilver Master Terminal [Institutional]Overview
The Quicksilver Master Terminal is a comprehensive data visualization interface designed to bring institutional-grade market awareness to the retail chart. It replaces the need for multiple cluttered indicators by consolidating Trend, Momentum, Volatility, and Structure into a single Heads-Up Display (HUD).
Designed by Quicksilver Algo Systems, this tool is engineered for precision scalpers and prop firm traders who require instant situational awareness without switching timeframes.
Features
1. The Institutional HUD (Heads-Up Display)
Located in the top-right corner, this live dashboard provides real-time metrics on:
Market Structure: Instantly identifies if the asset is in a Bullish or Bearish regime relative to the 200 EMA.
Momentum Status: Tracks overbought/oversold conditions using smoothed Stochastic logic.
Volatility (ATR): Displays live Average True Range data for precise Stop Loss placement.
Volume Flow: Detects institutional volume spikes (1.5x average).
2. The Trend Cloud
A dynamic visual ribbon that fills the space between the Fast EMA (50) and Slow EMA (200).
Green Cloud: Strong Bullish Trend (Look for Longs).
Red Cloud: Strong Bearish Trend (Look for Shorts).
Cross: Visual warning of trend reversals.
3. Sniper Signal Logic
The script paints "INSTITUTIONAL BUY" and "INSTITUTIONAL SELL" labels only when high-probability confluence occurs:
Exhaustion: Stochastic RSI breaches extreme levels (<20 or >80).
Confirmation: Price action aligns with Heikin Ashi smoothing to filter noise.
Momentum: Fast %K crosses Slow %D.
How to Use
For Scalping (1m - 5m): Wait for the Trend Cloud to align with the Signal. Take "BUY" signals only when the Cloud is Green.
For Risk Management: Use the live "Volatility" number in the HUD to set your Stop Loss (e.g., 1.5x the current Volatility value).
About the Developer
This script is part of the Quicksilver Ecosystem. We build algorithmic solutions focused on capital preservation and risk management for funded traders.
Disclaimer: This tool is for educational market analysis only. Past performance is not indicative of future results.
BTC Swing Plan – Levels & ZonesThis indicator draws a structured breakout model for BTCUSD with clearly defined entry levels, stop zones, and four realistic upside targets.
It automatically plots:
Breakout zone
Stop-loss zone
Target 1
Target 2
Target 3
Target 4 (stretch target)
Midlines & color-coded structure boxes
This tool is designed for traders who prefer clean execution levels, disciplined risk management, and realistic price expansion steps—not overly aggressive moon projections.
All levels are fully adjustable from the settings menu.
ONE Clear Multi‑Timeframe Synchronization (MTS) [Sync]**Script Profile — ONE Clear Multi‑Timeframe Synchronization (MTS) (Pine v6)**
* **Purpose:** Identifies a *multi‑timeframe “ignition”* pattern—strong daily upside confirmed by the next day and aligned with weekly & monthly structure—designed for pattern recognition and research (non‑financial advice).
* **Core Signals:**
* **MTS D1 (Ignition):** Day‑1 ≥ **+7%**, **close near high** (≥95%), **volume expansion** vs 20‑day average, and **prior‑day hammer** (stabilization).
* **MTS D2 (Confirmation):** Day‑2 ≥ **+5%** to validate D1.
* **Higher‑TF Alignment:** Confirms **weekly** (close above prior week’s high or green week) and **monthly** (close above prior month’s high or green month) conditions via `request.security`.
* **Context Overlays (optional):** Pivot‑based **Support/Resistance** with **“B” breaks** (green = resistance break; red = support break) gated by a **volume oscillator** (EMA5 vs EMA10).
* **Alerts:**
* **MTS Ignition Confirmed** (D1 + D2 + hammer + weekly/monthly + volume gate)
* **Support/Resistance Broken** (with volume gate)
* **Stability Fix:** Precomputes `ta.crossover`/`ta.crossunder` **once per bar** and reuses variables in conditions to avoid inconsistent historical evaluation—*no change in strategy logic or thresholds.*
* **Typical Read:** Use D1 (low/mid/high) as reference levels; D2 confirms regime shift; green “B” after D2 suggests continuation, red “B” warns of failure.
EMA Divergence Color CandlesThis indicator colors candles based on their position relative to the EMA and the strength of the divergence.
Above EMA → Blue (bullish zone)
Below EMA → Red (bearish zone)
Divergence strength is shown in 3 color levels:
Weak (close to EMA)
Medium
Strong (far from EMA)
The indicator draws its own candles, so no TradingView settings need to be changed.
The EMA line is also shown on top of the custom candles.
Box TheoryBox Theory – Description
This indicator is based on the popular “Box Theory” concept, where the previous session’s High–Low range acts as the most important structure for the next session.
Traders use this because the market often reacts to the same areas where liquidity, orders, and imbalances were created in the prior session.
At every new session open, the indicator automatically records:
Previous High
Previous Low
Middle (50% level)
These three levels form a box, which becomes your roadmap for the new session.
This method is widely used because it highlights where most reversals, sweeps, and reactions occur—without needing any extra indicators.
How the Zones Are Calculated
Previous High
The highest price of the last session.
This forms the top edge, which acts as resistance and the basis for the Sell Zone.
Previous Low
The lowest price of the last session.
This forms the bottom edge, acting as support and the basis for the Buy Zone.
Middle Line (50% Level)
The exact midpoint between High and Low.
This is the fair-value zone, where price often consolidates and becomes directionless.
No signals are triggered near the middle, because trades taken here historically have low accuracy.
Buy Zone (Green Area)
The lower part of the box.
Price often reacts here because this area held buyers in the previous session.
When price enters this green zone inside the box, the indicator can show a Buy Zone label.
Sell Zone (Red Area)
The upper part of the box.
Price commonly rejects here because this area acted as resistance previously.
When price enters this red zone inside the box, the indicator can show a Sell Zone label.
How Zone Size Is Set (Sensitivity %)
You can adjust how big the Buy/Sell zones are using the Sensitivity (%) input.
Lower % → Smaller zones → More precise signals
Higher % → Larger zones → Signals appear earlier and from farther away
Formula:
Zone Size = (Previous High − Previous Low) × (Sensitivity % ÷ 100)
This lets you customize how tight or how early your signals appear.
Inside-Box Only Logic
The indicator only works inside the previous session’s range.
If price breaks above the previous High → No sell signal
If price breaks below the previous Low → No buy signal
This avoids false signals during breakouts or trending markets.
Alerts
The indicator includes two alerts:
Buy Zone Alert → Triggers when price enters the Buy Zone
Sell Zone Alert → Triggers when price enters the Sell Zone
Just enable them in TradingView’s alert panel.
MTF 4h Structure + FVG (CORRECTED)This is a fully customizable Multi-Timeframe (MTF) indicator for SMC traders. It overlays true Higher Timeframe market structure onto your current chart. While it defaults to the 4-Hour (4h) structure, you can easily change this to 1h, Daily, or Weekly in the settings to suit your strategy.
Key Features:
1. Dynamic MTF Overlay: Select any Higher Timeframe (HTF) in the settings. The script calculates true pivots on that timeframe and projects them onto your chart without repainting issues.
2. Active Dealing Range: Automatically displays the Swing High and Swing Low of the selected HTF.
3. Equilibrium (EQ): Marks the 50% level of the range to help you identify Premium (Sell) vs. Discount (Buy) zones.
4. HTF Fair Value Gaps (FVG): Detects and draws unmitigated FVGs from your selected timeframe, acting as high-probability POIs.
Visuals & Logic:
- Green/Red: Signals CHoCH (Trend Reversals).
- Gray: Signals BOS (Trend Continuation) - keeping the chart clean.
- Smart Calculation: Calculates structure explicitly on the HTF data to prevent false signals on lower timeframes.
How to use:
1. Add to your chart (e.g., 5m or 15m).
2. Open Settings -> Select your desired "Higher Timeframe" (Default is 4h).
3. Trade in the direction of the HTF Trend (Labels) and look for entries within HTF FVGs in the correct Discount/Premium zone.
Volume Orderblock Breakout — Naaganeunja Lite v3.6Volume orderblocks breakout indicator
you can use it 5minutes (short trading)
or 4 hours(swing trading)
it is best indicator in the world
Squeeze Momentum OmniViewSqueeze Momentum OmniView+ is an enhanced and modernized version of the classic Squeeze Momentum Indicator by LazyBear, rebuilt from the ground up in Pine Script v6.
This upgraded edition introduces OmniView color-mapping, adaptive histogram scaling, extreme detection, heat-zone alerts, and dynamic fire/ice icons, all fully synchronized with your selected visualization mode.
Key Features
1. OmniView Color Engine (Exact Price-State Matching)
Reproduces the full OmniView color logic (aqua → yellow → red), tracking market compression, expansion, and directional strength using a seamless multi-gradient system.
2. Dual Histogram Modes
Choose how the histogram is normalized:
Price-State Mode: Colors reflect price position within its recent range.
Self-Normalized Mode: Colors adapt to the histogram’s own momentum curve.
Both modes automatically adjust alerts, extremes, and icons.
3. Enhanced Squeeze Logic
The script includes the classic squeeze states (ON / OFF / Neutral) with clean visual dots and improved logic for precise state transitions.
4. Adaptive Extreme Detection (Upper & Lower Extremes)
Detects when price or momentum sets new highs/lows according to the active mode.
Automatically draws 🔥 fire labels near upper extremes and ❄️ ice labels near lower extremes, with:
Adaptive or fixed offsets
Customizable sizes
Optional dimming on momentum fade
Icon colors matching the histogram
5. Full Alert Suite
Includes alerts for:
New Upper / Lower Extremes
Heat-Zone Crossings (25%, 50%, 75%)
Momentum Turning Up / Down
Zero-Line Crossovers
Squeeze ON / OFF
All alert conditions adapt dynamically to the mode selected.
6. Clean, modern, and fully customizable
Every visual element—colors, transparency, icon sizing, offsets, squeeze dots, fades—can be adjusted from the settings panel.
What This Indicator Helps You See
Momentum acceleration and deceleration
Market compression/expansion phases
Heat levels in the current price context
Momentum extremes that often signal turning points
Trend continuation or exhaustion patterns
High-precision squeeze entries with visual clarity
Designed For
Traders looking for a more intelligent version of Squeeze Momentum with:
Better visual clarity
Stronger adaptive behavior
More actionable alerts
More information per bar without clutter
A special thanks to LazyBear, the original author of the Squeeze Momentum engine.
This script is not affiliated with or endorsed by him, but it extends his outstanding contribution to the TradingView community.
Volatility-Dynamic Risk Manager MNQ [HERMAN]Title: Volatility-Dynamic Risk Manager MNQ
Description:
The Volatility-Dynamic Risk Manager is a dedicated risk management utility designed specifically for traders of Micro Nasdaq 100 Futures (MNQ).
Many traders struggle with position sizing because they use a fixed Stop Loss size regardless of market conditions. A 10-point stop might be safe in a slow market but easily stopped out in a high-volatility environment. This indicator solves that problem by monitoring real-time volatility (using ATR) and automatically suggesting the appropriate Stop Loss size and Position Size (Contracts) to keep your dollar risk constant.
Note: This tool is hardcoded for MNQ (Micro Nasdaq) with a tick value calculation of $2 per point.
📈 How It Works
-This script operates on a logical flow that adapts to market behavior:
-Volatility Measurement: It calculates the Average True Range (ATR) over a user-defined length (Default: 14) to gauge the current "speed" of the market.
-State Detection: Based on the current ATR, the script classifies the market into one of three states:
Low Volatility: The market is chopping or moving slowly.
Normal Volatility: Standard trading conditions.
High Volatility: The market is moving aggressively.
Dynamic Stop Loss Selection: Depending on the detected state, the script selects a pre-defined Stop Loss (in points) that you have configured for that specific environment.
Position Sizing Calculation: Finally, it calculates how many MNQ contracts you can trade so that if your Stop Loss is hit, you do not lose more than your defined "Max Risk per Trade."
🧮 Methodology & Calculations
Since this script handles risk management, transparency in calculation is vital.
Here is the exact math used:
ATR Calculation: Contracts = Max Risk / Risk Per Contract
⚙️ Settings
You can fully customize the behavior of the risk manager via the settings panel:
Risk Management
-Max Risk per Trade ($): The maximum amount of USD you are willing to lose on a single trade.
Volatility Thresholds (ATR)
-ATR Length: The lookback period for volatility calculation.
-Upper Limit for LOW Volatility: If ATR is below this number, the market is "Low Volatility."
-Lower Limit for HIGH Volatility: If ATR is above this number, the market is "High Volatility." (Anything between Low and High is considered "Normal").
Stop Loss Settings (Points)
-SL for Low/Normal/High: Define how wide your stop loss should be in points for each of the three market states.
Visual Settings
-Color Theme: Switch between Light and Dark modes.
-Panel Position: Move the dashboard to any corner or center of your chart.
-Panel Size: Adjust the scale (Tiny to Large) to fit your screen resolution.
📊 Dashboard Overview
-The on-screen panel provides a quick-glance summary for live execution:
-Market State: Color-coded status (Green = Low Vol, Orange = Normal, Red = High Vol).
-Current ATR: The live volatility reading.
-Suggested SL: The Stop Loss size you should enter in your execution platform.
-CONTRACTS: The calculated position size.
-Est. Loss: The actual dollar amount you will lose if the stop is hit (usually slightly less than your Max Risk due to rounding down).
Who is this for?
-Discretionary and systematic futures traders on MNQ (/MNQ or MES also works with small adjustments)
-Anyone who wants perfect risk consistency regardless of whether the market is asleep or exploding
-Traders who hate manual position-size calculations on every trade
No repainting
Works on any timeframe
Real-time updates on every bar
Overlay indicator (no signals, pure risk-management tool)
⚠️ Disclaimer
This tool is for informational and educational purposes only. It calculates mathematical position sizes based on user inputs. It does not execute trades, nor does it guarantee profits. Past performance (volatility) is not indicative of future results. Always manually verify your order size before executing trades on your broker platform.
Raja's SMC Order Blocks Display [PRO]Raja's SMC Order Blocks Display - Complete Description
🌟 A Message from Raja Saien
This indicator has been crafted with dedication, countless hours of research, and deep passion for trading excellence. Raja Saien has poured his heart and soul into creating this powerful tool to help YOU succeed in the markets.
For Everyone Starting Their Trading Journey:
If you're new to trading, remember - every expert was once a beginner. This indicator is your gateway to understanding how institutional money moves in the markets. Raja Saien believes in YOUR potential to learn, grow, and achieve financial freedom through smart trading.
The path to success requires:
✨ Dedication to learning the craft
💪 Patience during the learning curve
🎯 Consistent practice with the right tools
🚀 Belief in your ability to master the markets
This isn't just an indicator - it's a mentor on your chart, showing you where the smart money is positioned. With hard work and this tool in your arsenal, you can transform your trading and your life.
Remember: The markets reward those who prepare, practice, and persist. Raja Saien has given you the tool - now it's your turn to commit to the journey!
Overview
This is an advanced TradingView indicator that identifies and displays Smart Money Concepts (SMC) and Order Blocks. It's designed for professional traders who want to understand institutional trading patterns and market structure.
Main Features
1. Smart Money Concepts (SMC) Detection
ZigZag Pattern Recognition: Identifies market structure using pivot highs and lows
Break of Structure (BOS): Detects when price breaks through important structural levels
Change of Character (CHoCH): Identifies trend reversals and shifts in market sentiment
Configurable Length: Adjustable ZigZag sensitivity (default: 5 bars)
2. Order Blocks (OB)
Order blocks are zones where institutional investors have placed large orders. The indicator identifies two types:
Bullish Order Blocks:
Created when market shifts from bearish to bullish
Marks the last bearish candle before the structure break
Displayed in green/teal color
Represents potential support zones where price may bounce
Looks back 10 bars to find the lowest bearish candle
Bearish Order Blocks:
Created when market shifts from bullish to bearish
Marks the last bullish candle before the structure break
Displayed in red color
Represents potential resistance zones where price may reject
Looks back 10 bars to find the highest bullish candle
3. Order Block Management
Dynamic Extension: Active order blocks extend forward on the chart
Mitigation Detection: Automatically detects when price fully breaks through an order block
Bullish OB mitigated when close drops below the bottom
Bearish OB mitigated when close rises above the top
Visual Feedback: Mitigated blocks turn gray and are labeled "Mitigated"
Auto-cleanup: Removes mitigated order blocks from active tracking
4. Moving Averages Suite
Includes multiple trend indicators for comprehensive analysis:
Fast EMA (default 9): Yellow line - captures short-term momentum
Slow EMA (default 21): Purple line - identifies medium-term trends
EMA 50: Orange line - major trend filter
SMA 200: Blue line - long-term trend and institutional reference point
All EMAs support multiple source options: Open, High, Low, Close, HL2, HLC3, OHLC4
Customization Options
SMC Settings
ZigZag Length: Control sensitivity of structure detection (2-100)
Show Order Blocks: Toggle order block display on/off
Visual Settings
Bullish Color: Customize color for bullish order blocks (default: teal #089981)
Bearish Color: Customize color for bearish order blocks (default: red #f23645)
Transparency: Order blocks displayed with 80% transparency for better chart visibility
EMA Settings
Fast EMA Length: Adjustable period (default: 9)
Slow EMA Length: Adjustable period (default: 21)
Source Selection: Choose calculation source for each EMA
Toggle EMA 50: Show/hide the 50-period EMA
Toggle SMA 200: Show/hide the 200-period SMA
How It Works
Structure Detection Process
Identifies pivot highs and lows based on specified length
Creates ZigZag lines connecting significant swing points
Tracks current trend direction (bullish/bearish/neutral)
Monitors for structural breaks that signal trend changes
Order Block Creation
When price breaks above a previous high (bullish BOS):
Scans last 10 bars for the lowest bearish candle
Creates bullish order block at that candle's range
Marks it as active support zone
When price breaks below a previous low (bearish BOS):
Scans last 10 bars for the highest bullish candle
Creates bearish order block at that candle's range
Marks it as active resistance zone
Order Block Lifecycle
Active: Box extends forward with colored border and background
Tested: Price can interact with the zone multiple times
Mitigated: Once price closes through the zone, marked as invalidated
Removed: Automatically cleaned up after mitigation
Trading Applications
Entry Strategies
Pullback Entries: Wait for price to return to an active order block
Confirmation: Look for bullish price action at bullish OBs, bearish at bearish OBs
EMA Confluence: Stronger setups when OBs align with EMA levels
Risk Management
Stop Loss: Place stops just beyond the order block boundary
Invalidation: Exit if order block gets mitigated
Multiple Timeframes: Check OBs on higher timeframes for stronger zones
Trend Analysis
EMA Alignment: All EMAs pointing same direction = strong trend
EMA 50 Test: Key level for trend continuation/reversal
SMA 200: Major institutional reference point
Technical Specifications
Max Boxes: 500 (sufficient for most chart timeframes)
Max Lines: 500
Max Labels: 500
Overlay: True (draws directly on price chart)
Version: Pine Script v5
Best Practices
Use on liquid markets (forex, major stocks, crypto)
Combine with volume analysis for confirmation
Higher timeframes produce more reliable order blocks
Wait for clear structure breaks before trusting new OBs
Don't trade against the major trend (SMA 200 direction)
Use multiple confirmations before entering trades
Limitations
Works best in trending markets with clear structure
May produce false signals in ranging/choppy conditions
Requires understanding of Smart Money Concepts
Not a standalone trading system - use with proper risk management
Historical order blocks don't guarantee future reactions
Cloud Matrix [CongTrader]🚀 Cloud Matrix — Advanced Multi-Layer Ichimoku System
Cloud Matrix is an enhanced trend-analysis system built on the public-domain Ichimoku Kinko Hyo methodology.
This indicator delivers a multi-dimensional view of trend, momentum, and market structure, allowing traders to evaluate market conditions at a glance.
Cloud Matrix is not a simple Ichimoku clone. It introduces advanced confirmation logic, multi-timeframe trend filtering, and a modern visual framework designed for today’s dynamic markets.
🔥 Key Features & Highlights
1️⃣ Smart Preset Engine (4 Modes)
Choose from optimized presets for different markets and volatility levels:
Traditional 9/26/52
Crypto Fast 10/30/60
Crypto Medium 20/60/120
Custom Mode
→ Fast, adaptable, and beginner-friendly.
2️⃣ Advanced Trend Confirmation Engine
Cloud Matrix uses a 5-factor scoring system to filter high-quality signals:
Tenkan vs Kijun
Price vs Cloud
Cloud Twist
Chikou Position
Close vs Kijun
A bullish/bearish signal only triggers when multiple Ichimoku conditions align, reducing noise dramatically.
3️⃣ Higher-Timeframe EMA200 Filter
One of the signature strengths of Cloud Matrix:
EMA200 from a higher timeframe
Helps you follow the dominant macro trend
Avoids counter-trend traps
Ideal for swing and position traders
4️⃣ Intelligent Auto Signals
The indicator includes refined and clean signals for:
Bullish / Bearish TK Cross
Bullish / Bearish Kumo Breakout
All signals support:
Labels
Alerts
“Alert on Close” mode to avoid repaint-related confusion
5️⃣ Enhanced Kumo Cloud Visualization
Adjustable opacity (strong / soft)
Clear bullish/bearish cloud shading
Improved readability on fast markets
6️⃣ Real-Time Market State Dashboard
A compact dashboard shows all key Ichimoku conditions:
Price vs Cloud
Cloud Twist (Bullish/Bearish)
Tenkan–Kijun Relationship
Chikou Status
HTF EMA Trend
Active Preset
→ Designed for instant market diagnostics.
🎯 How Traders Use Cloud Matrix
Perfect for:
Trend following
Swing trading
Crypto, Stocks, Forex
Early breakout detection
Filtering low-quality setups
📌 Suggested Usage
Bullish Bias When:
Price is above the Cloud
Cloud Twist is bullish
Tenkan crosses above Kijun
Chikou is above price
HTF EMA200 is bullish
Bearish Bias When:
Opposite conditions apply.
⚠️ Important Note
This indicator is for analysis and educational purposes only.
It does not provide financial advice or guaranteed trading results.
Ichimoku concepts belong to the public domain; this is a modernized expansion built for study and research.
✍️ Author
CongTrader – 2025
Designed to help traders see the market through a multi-layered, structured lens..






















