SA_ORB_ONR_CLOUD_vwapBandsSIGNAL ARCHITECT™ — ORB / ONR Cloud with VWAP Bands
Optimized for the 15-Minute Timeframe
Overview
The Signal Architect™ ORB / ONR Cloud is a session-structure and probability framework designed to help traders understand where price is statistically compressed, transitioning, or escaping value during the regular trading session.
On the 15-minute chart, this study excels at identifying:
High-probability consolidation zones
Early session directional intent
Fade vs continuation environments
Context for VWAP-based mean reversion or trend extension
Rather than predicting price, the indicator classifies market behavior using time-anchored ranges and volume-weighted statistics.
Core Components (15-Minute Context)
1️⃣ Overnight Range (ONR)
The Overnight Range captures price extremes formed before the regular session opens.
On the 15-minute timeframe, ONR acts as:
A higher-timeframe reference level
A source of institutional liquidity memory
A boundary where early session reactions often occur
2️⃣ Opening Range (ORB)
The Opening Range is defined as the first X minutes after the session open (default: 15 minutes).
On a 15-minute chart:
The ORB often forms entirely within a single candle
It represents initial institutional positioning
It helps differentiate initiative vs responsive behavior
3️⃣ ORB–ONR Cloud (Key Feature)
The Cloud is the overlapping area between the Overnight Range and the Opening Range.
This zone is critical on the 15-minute timeframe because it often represents:
Compressed auction
Balance / indecision
Liquidity absorption
Interpretation:
Price inside the cloud → Higher probability of consolidation, fade, or contraction
Price exiting the cloud → Transition toward expansion or trend resolution
The cloud is not a signal — it is a probability environment.
4️⃣ VWAP with Session-Weighted σ Bands
The study plots VWAP starting from the regular session open, along with true volume-weighted standard deviation bands (±1σ, ±2σ).
On the 15-minute timeframe:
VWAP defines fair value
σ bands help distinguish normal rotation vs statistical extension
Interaction with VWAP while inside the cloud often suggests mean-reverting conditions
Interaction with VWAP after leaving the cloud often confirms trend continuation
5️⃣ Breakout Classification (BRK)
A BRK event occurs when price closes outside BOTH:
The Overnight Range
The Opening Range
On the 15-minute chart:
BRK events often mark session regime changes
They are contextual markers, not entries
Arrows are color-matched to the candle (green candle → green arrow, red candle → red arrow)
To avoid clutter, breakouts can be limited to first-occurrence only.
Probability Layer (15-Minute Edge)
The indicator includes rolling probability calculations to quantify market behavior:
📊 Inside-Cloud Probability
Shows how often price remains inside the ORB–ONR cloud over the selected lookback.
Higher values → balance / compression dominant
Lower values → trend / expansion dominant
📉 Fade / Contraction Probability (Inside Cloud)
When price is inside the cloud, the study measures volatility contraction using ATR behavior.
Higher contraction % → Greater likelihood of rotation or fade
Lower contraction % → Cloud acting as launchpad rather than balance
📈 State Occupancy (5-State Model)
Tracks how price distributes its time across:
Above both ranges
Below both ranges
Inside ORB only
Inside ONR only
Inside the Cloud
This helps traders understand where the market statistically prefers to trade on the 15-minute structure.
Best Use Cases (15-Minute Chart)
✔ Contextual bias for intraday swing trades
✔ Identifying fade vs trend conditions
✔ VWAP-based execution alignment
✔ Avoiding low-probability entries inside compression
✔ Session structure awareness without lower-timeframe noise
What This Indicator Is NOT
❌ Not a buy/sell system
❌ Not predictive
❌ Not a guarantee of outcomes
It is a market structure and probability framework — designed to improve decision quality, not replace risk management.
Recommended Settings (15-Minute)
ORB Length: 15 minutes
VWAP Bands: ±1σ / ±2σ
Probability Lookback: 100–200 bars
Breakout Mode: First-occurrence only
Cloud Enabled: Yes
Risk & Compliance Notice
This tool is provided for educational and informational purposes only.
It does not constitute financial advice, investment recommendations, or trade instructions.
All trading involves risk, including the possible loss of capital.
Standalone Signal - trianchor.gumroad.com
chatgpt.com
chatgpt.com
chatgpt.com
Analyse de la tendance
NeuraCloud - Ichimoku (Purple Kumo) + Alerts (Minimal)NeuraCloud is a clean, modern interpretation of the Ichimoku Cloud, designed to identify trend direction, market structure, and key support/resistance zones at a glance.
The purple cloud (Kumo) acts as a dynamic trend filter:
• Price above the cloud indicates bullish conditions
• Price below the cloud indicates bearish conditions
• Price inside the cloud signals consolidation or uncertainty
NeuraCloud combines the cloud with Tenkan-sen and Kijun-sen to highlight momentum shifts, pullbacks, and trend continuation opportunities. Built-in alerts notify you of price/cloud breaks, momentum crosses, and cloud flips, helping you stay aligned with high-probability market structure.
Ideal for trend traders, swing traders, and multi-timeframe analysis, NeuraCloud keeps charts clean while delivering clear market context.
Triple Stochastic RSI [XYZ-Trades]Triple Stochastic RSI (original work from XYZ-Trades) with some minor additions to allow user to move table.
Multi Asset & Multi Timeframe Trend DashboardOverview
The Multi-Asset & Multi-Timeframe Trend Dashboard is a comprehensive visual data terminal designed to provide a bird's-eye view of market sentiment across five different assets and seven distinct timeframes simultaneously. By consolidating 10 core technical indicators into a single table, it eliminates the need for "chart hopping" and helps traders identify high-probability trend alignment.
How It Works
The dashboard evaluates each asset based on a Scoring System ($-10$ to $+10$). For every timeframe, the script analyzes the following 10 conditions:
Trend: EMA 20 > EMA 50Macro
Trend: EMA 50 > EMA 200
Position: Price > EMA 200
MACD: MACD Line > Signal Line
MACD Momentum: MACD Histogram > 0
RSI Momentum: RSI(14) > RSI SMA(14)
RSI Level: RSI(14) > 50
Stochastics: Stoch K > D
CCI: Commodity Channel Index > 0
Awesome Oscillator: AO > 0
Visual Logic & Features
Indicator Dots (■): Represent the 10 individual technical conditions. Green indicates a bullish state; Red indicates a bearish state.
Trend Arrows (▲/▼): Displays the aggregate directional bias of a timeframe based on the sum of the 10 dots.
Neutral State (✖): If indicators are split 50/50 (Score of 0), a grey cross is displayed to indicate total market indecision.
"ALL" Column: A macro-summary that aggregates scores across all four primary timeframes.
Volatility Marker (•): A dot appearing next to the symbol name indicates that current ATR is higher than the historical average (user-defined threshold).
Market Status Color: The symbol name background turns Green if the market is currently open and active, and Red if it is closed or stagnant.
Technical Implementation
This script utilizes request.security calls to fetch data across timeframes. To ensure performance and prevent repainting issues, all security calls are handled using the barstate.islast flag to only render the dashboard on the most recent bar.
How to Use
Alignment Trading: Look for "Full House" scenarios where all arrows (15m through Daily) are the same color.
Scalping Bias: Use the "Mini Timeframes" (1m, 3m, 5m) to find entries that align with the higher timeframe trend shown in the main table.
Volatility Filter: Only take trades when the volatility marker (•) is active to ensure there is enough "power" in the move.
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow - |K| |A| |E| |F|
KAE Flow is a quantitative trend-aggregation engine designed to determine the dominant market bias by fusing three distinct market dimensions: Volatility, Trend Strength, and Volume.
This script does not rely on a single metric. Instead, it creates a composite "Flow" score derived from the Daily timeframe to act as a high-level bias filter for intraday or swing trading.
1. The Quantitative Logic (The Engine)
The core of this indicator is the KAE Engine, which polls data from the Daily timeframe (by default) to ensure you are always trading in alignment with the macro trend. It aggregates three logical components:
K (Keltner Channels): Measures Volatility Breakouts.
Logic: Returns bullish if price closes above the Upper Channel, bearish if below the Lower Channel. This captures the expansion phase of price action.
A (Aroon): Measures Trend Age & Strength.
Logic: Returns bullish only if the Aroon Up is > 70 and dominating the Aroon Down. This ensures the trend is not just present, but mathematically strong.
E (Elder’s Force Index): Measures Volume-Weighted Momentum.
Logic: Uses volume pressure to confirm price moves. Positive smoothed force indicates bullish accumulation.
2. Signal Processing (ALMA)
Raw data is noisy. The KAE Flow takes the aggregated raw score from the components above and runs it through an ALMA (Arnaud Legoux Moving Average).
Why ALMA? It offers the best balance between smoothness and responsiveness, removing "false flips" in the trend bias while reacting quickly to genuine reversals.
The Color (The Bias):
Deep Blue: Strong Bullish Flow (KAE Score > 0.1). Look for Long entries .
White: Strong Bearish Flow (KAE Score < -0.1). Look for Short entries.
Gray: Neutral/Transition. Volatility is contracting or the trend is conflicting.
5. Settings & Configuration
Keltner/Aroon/EFI Lengths: Fully customizable to fit different asset classes (Crypto vs. Forex).
Active Smoothing: Toggle ALMA on/off.
Active Components: You can toggle specific engines (K, A, or E) on or off. Default uses Keltner + Aroon for a pure Price/Time analysis.
Risk Warning: This indicator pulls higher-timeframe data (Daily) to color lower-timeframes. While this provides a powerful macro view, be aware that closed candle data is used to prevent repainting issues in real-time.
D_Quant --- Trade With Discipline
S/R-Zones [SouthEast]Autro Support/ Resistance zones, drawn by default on 1 hr timeframe for last 3 months
LogTrend Retest EngineLogTrend Retest Engine (LTRE)
LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering .
Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends.
🔹 How It Works
Logarithmic Regression Core
Performs linear regression on log-transformed price and time
Produces a structurally accurate trend midline that scales with price growth
Volatility-Adjusted Deviation Bands
Dynamic upper and lower zones based on statistical deviation
ATR weighting expands or contracts bands as volatility changes
Adaptive Lookback (Optional)
Automatically adjusts regression length using volatility pressure
Faster response in high-volatility environments, smoother in consolidation
🔹 Market Regime Detection
LTRE actively filters conditions using:
R² trend strength (trend quality, not just slope)
Volatility compression vs expansion
User-defined minimum trend strength threshold
Signals are disabled during ranging or low-quality conditions .
🔹 Breakout → Retest Signal Logic
LTRE does not chase breakouts.
Signals trigger only when:
1. Price breaks cleanly outside the deviation band
2. Market regime is confirmed as trending
3. Price performs a controlled retest within a user-defined tolerance
BUY
Break above upper band → retest → trend confirmed
SELL
Break below lower band → retest → trend confirmed
This structure is designed to reduce false breakouts and late entries.
🔹 Visual & Projection Tools
Clean midline and deviation bands
Optional filled zones
Optional future trend projection for forward structure planning
On-chart statistics for trend strength and volatility compression
🔹 Best Use Cases
Trend continuation & pullback strategies
Crypto, Forex, Indices, and equities
Works best on 15m and higher timeframes
⚠️ Disclaimer
LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context.
Built for traders who wait for structure — not noise.
XAUUSD Trend FollowingGold Trend Following Indicator combines a 3‑EMA trend regime, a pullback (“tap”) entry trigger, and a Squeeze Momentum filter to reduce low-quality signals. It highlights bullish/bearish market state, prints BUY/SELL signals only when trend + confirmation + RSI align, and optionally rejects weak momentum setups (shown as gray X’s). It also plots optional entry, trailing stop, TP1, and TP2 levels and provides alert conditions for signals and exits.
How to use
Use the background color and EMA stack to determine the dominant trend.
Wait for a pullback where price taps your chosen EMA (20 or 50).
Take signals only when a BUY/SELL appears (trend + reclaim/candle + RSI confirmation).
If enabled, the Squeeze Momentum filter will keep you out of weak/low‑energy moves. Gray X’s indicate setups that matched your entry logic but failed the momentum strength threshold.
Manage risk using the plotted initial SL, trailing SL, and TP1/TP2. Consider locking break-even after TP1 if you want more conservative management.
Inputs explained” (compact)
Core EMA Settings: Choose EMA lengths for trend stack.
Squeeze Momentum Filter: Toggle momentum direction and histogram strength filtering; adjust threshold to balance signal frequency vs quality.
RSI Settings: Control RSI length, midline behavior, and min/max bounds.
Entry Trigger: Choose tap EMA (20/50) and whether reclaim, slope, and RSI cross are required.
TP/SL + Trailing: ATR or swing stop, RR targets, trailing behavior, wick/close triggering, and level visuals.
it has an edge because it systematically removes the two biggest sources of losses in discretionary trend systems — bad regime and low‑energy entries.
The system
Does not forecast
Does not anticipate
Does not fade
It reacts to:
Regime
Pullback
Momentum expansion
Confirmation
DRAMA Channel [AiQ PREMIUM]DRAMA Channel Designed by KS
AiQ PREMIUM is not just an indicator; it is a complete, visually immersive trading ecosystem designed for traders who demand precision, aesthetics, and data-driven confidence.
Built upon advanced Fractal Adaptive Moving Average (FRAMA) logic and fused with a proprietary volatility engine, AiQ PREMIUM filters out market noise to reveal high-probability institutional setups.
💎 Core Features
1. DRAMA Volatility Engine (D-FRAMA) Unlike standard Moving Averages, our adaptive algorithm adjusts to market fractal dimensions. It tightens during consolidation to avoid false signals and expands during trends to capture the full move.
2. Multi-Timeframe (MTF) Matrix Stop guessing the trend. The built-in "Trend Matrix" scans M5, M15, M30, H1, and H4 timeframes in real-time. Signals are only generated when there is a confluence of momentum.
3. AiQ Confidence Score & Win Rate The dashboard calculates a dynamic Confidence Score (1-5 Stars) based on historical performance, trend alignment, and volatility strength.
⭐⭐⭐⭐⭐ = Strong Institutional Alignment
⭐ = Risky / Counter-trend
4. Auto-Fibonacci Extensions & Risk Management
Smart Entries: Clear visual signals with glassmorphism UI.
Dynamic Risk: SL/TP are calculated using ATR (Average True Range) to adapt to market volatility.
Auto Targets: Automatically projects TP1, TP2, TP3 (Fib 2.618), and TP4 (Fib 4.236).
5. Premium Visual Experience Choose your trading personality with our Theme Engine:
🏆 Black Gold: Luxury, high-contrast dark mode.
🦄 Cyber Neon: Modern, vibrant aesthetics.
⚪ Clean Quant: Minimalist institutional look.
🛠️ How to Use
Wait for the Signal: Look for the 🚀 LONG SETUP or 🚀 SHORT SETUP badge.
Check the Stars: Ideally, take trades with 3 stars or above on the dashboard.
Confirm with Matrix: Ensure the MTF Matrix (Top Right) shows "BULL" for Longs or "BEAR" for Shorts on higher timeframes (H1/H4).
Manage the Trade:
Secure partial profits at ✅ TP1.
Move SL to Breakeven at ✅ TP2.
Let runners fly to ✅ TP3 and ✅ TP4.
⚠️ Disclaimer - Trading involves high risk. This tool is designed to assist your analysis, not to replace it. Past performance is not indicative of future results. Always use proper risk management.
Quality-Controlled Trend StrategyOverview
This strategy demonstrates a clean, execution-aware trend framework with fully isolated risk management.
Entry conditions and risk logic are intentionally separated so risk parameters can be adjusted without altering signal behavior.
All calculations are evaluated on confirmed bars to ensure backtest behavior reflects real-time execution.
Design intent
Many scripts mix entries and exits in ways that make results fragile or misleading.
This strategy focuses on structural clarity by enforcing:
confirmed-bar logic only
fixed and transparent risk handling
consistent indicator calculations
one position at a time
It is intended as a baseline framework rather than an optimized system.
Trading logic (high level)
Trend context
EMA 50 vs EMA 200 defines directional bias
Entry
Price alignment with EMA 50
RSI used as a momentum confirmation, not as an overbought/oversold signal
Risk management
Stop-loss based on ATR
Fixed risk–reward structure
Risk logic is isolated from entry logic
Editing risk without affecting signals
All stop-loss and take-profit calculations are handled in a dedicated block.
Users can adjust:
ATR length
stop-loss multiplier
risk–reward ratio
without modifying entry conditions.
This allows controlled experimentation while preserving signal integrity.
Usage notes
Results vary by market, timeframe, and volatility conditions.
This script is provided for testing and educational purposes and should be validated across multiple symbols and forward-tested before use in live environments.
Behavioral Transform Model: Conditional Support & ResistanceOverview
Spot abnormal price moves based on recent market behavior.
This indicator models how traders perceive “normal” price action, using recent return patterns to draw adaptive support and resistance levels. It builds a dynamic corridor around a conditional expected value, shading an envelope that the majority of price closes historically. Price closes outside this corridor are marked with color-coded anomaly signals, highlighting significant shifts in market behavior.
In short, the tool does three things: it distinguishes normal vs. abnormal price behaviour, draws data-driven support and resistance zones, and helps you see excess volatility as it develops.
What You See (Conditional Upon the Lookback Period)
Expected Value (gray line): Rolling average serving as the center point.
Upper & Lower Bounds (±1 standard deviation): Define the core “normal” price range. The upper bound is displayed in blue, and the lower bound in orange. Secondary bounds use darker shades of blue and orange to distinguish them. You can see the edges of these bounds on the chart and adjust shading if preferred. The latest values for all bounds are also shown on the price axis for easy reference.
Secondary Bounds: Wider outer limits set by the Secondary Standard Deviation input.
Shaded Corridors: Visually framing the range between core and secondary bounds for quick context.
Anomaly Markers:
White: Close outside normal corridor
Blue: Close above secondary upper bound
Orange: Close below secondary lower bound
Markers highlight behavior shifts but do not provide triggers or advice.
How It Works
The model captures trader behavior by framing price relative to a local mean and volatility derived from recent returns. The shaded corridor represents a statistically grounded “normality” band that adapts as market conditions change. Price moves beyond this band signal behaviorally and statistically significant events, such as sentiment shifts or volatility spikes.
Inputs
Lookback Period: Defines horizon for recent history, mimicking trader memory. Shorter values react quickly; longer values smooth noise.
Secondary Standard Deviation: Adjusts the width of the outer bounds and filters the frequency of anomaly markers. Regular anomaly markers still appear normally and are mainly influenced by the lookback period, while extreme anomaly markers depend on both the lookback and the secondary standard deviation width setting.
How to Use
Add to standard candlestick charts with adequate history.
Follow price relation to the shaded corridor to gauge normality.
Use anomaly markers to spot meaningful deviations from recent behavior.
Adjust inputs to match personal trading style and timeframe: longer chart timeframes often pair better with shorter lookback windows, allowing the model to remain focused on the most recent and relevant return structure.
Notes
Valid for most symbols and timeframes with sufficient data.
Restricted to standard chart types.
Latest support/resistance levels displayed on price scale.
Limitations & Risks
Outputs depend on lookback setting; different settings emphasize different dynamics.
This tool is descriptive only—no predictive signals or trade instructions are provided.
Combine with other analysis methods and apply risk management.
Past behavior does not guarantee future results.
Smart Money Flow Cloud [BOSWaves]Smart Money Flow Cloud - Volume-Weighted Trend Detection with Adaptive Volatility Bands
Overview
Smart Money Flow Cloud is a volume flow-aware trend detection system that identifies directional market regimes through money flow analysis, constructing adaptive volatility bands that expand and contract based on institutional pressure intensity.
Instead of relying on traditional moving average crossovers or fixed-width channels, trend direction, band width, and signal generation are determined through volume-weighted money flow calculation, nonlinear flow strength modulation, and volatility-adaptive band construction.
This creates dynamic trend boundaries that reflect actual institutional buying and selling pressure rather than price momentum alone - tightening during periods of weak flow conviction, expanding during strong directional moves, and incorporating flow strength statistics to reveal whether regimes formed under accumulation or distribution conditions.
Price is therefore evaluated relative to adaptive bands anchored at a flow-informed baseline rather than conventional trend-following indicators.
Conceptual Framework
Smart Money Flow Cloud is founded on the principle that sustainable trends emerge where volume-weighted money flow confirms directional price movement rather than where price alone creates patterns.
Traditional trend indicators identify regime changes through price crossovers or slope analysis, which often ignore the underlying volume dynamics that validate or contradict those movements.This framework replaces price-centric logic with flow-driven regime detection informed by actual buying and selling volume.
Three core principles guide the design:
Trend direction should correspond to volume-weighted flow dominance, not price movement alone.
Band width must adapt dynamically to current flow strength and volatility conditions.
Flow intensity context reveals whether regimes formed under conviction or uncertainty.
This shifts trend analysis from static moving averages into adaptive, flow-anchored regime boundaries.
Theoretical Foundation
The indicator combines adaptive baseline smoothing, close location value (CLV) methodology, volume-weighted flow tracking, and nonlinear strength amplification.
A smoothed trend baseline (EMA or ALMA) establishes the core directional reference, while close location value measures where price settled within each bar's range. Volume weighting applies directional magnitude to flow calculation, which accumulates into a normalized money flow ratio. Flow strength undergoes nonlinear power transformation to amplify strong conviction periods and dampen weak flow environments. Average True Range (ATR) provides volatility-responsive band sizing, with final width determined by the interaction between base volatility and flow-modulated multipliers.
Four internal systems operate in tandem:
Adaptive Baseline Engine : Computes smoothed trend reference using either EMA or ALMA methodology with configurable secondary smoothing.
Money Flow Calculation System : Measures volume-weighted directional pressure through CLV analysis and ratio normalization.
Nonlinear Flow Strength Modulation : Applies power transformation to flow intensity, creating dynamic sensitivity scaling.
Volatility-Adaptive Band Construction : Scales band width using ATR measurement combined with flow-strength multipliers that range from minimum (calm) to maximum (strong flow) expansion.
This design allows bands to reflect actual institutional behavior rather than reacting mechanically to price volatility alone.
How It Works
Smart Money Flow Cloud evaluates price through a sequence of flow-aware processes:
Close Location Value (CLV) Calculation : Each bar's closing position within its high-low range is measured, creating a directional bias indicator ranging from -1 (closed at low) to +1 (closed at high).
Volume-Weighted Flow Tracking : CLV is multiplied by bar volume, then accumulated and normalized over a configurable flow window to produce a money flow ratio between -1 and +1.
Flow Smoothing and Strength Extraction : The raw money flow ratio undergoes optional smoothing, then nonlinear power transformation to amplify strong flow periods and compress weak flow environments.
Adaptive Baseline Construction : Price (both open and close) is smoothed using either EMA or ALMA methodology with optional secondary smoothing to create a stable trend reference.
Dynamic Band Sizing : ATR measurement is multiplied by a flow-strength-modulated factor that interpolates between minimum (tight) and maximum (wide) multipliers based on current flow conviction.
Regime Detection and Visualization : Price crossing above the upper band triggers bullish regime, crossing below the lower band triggers bearish regime. The baseline cloud visualizes open-close relationship within the current trend.
Retest Signal Generation : Price touching the baseline from within an established regime generates retest signals with configurable cooldown periods to prevent noise.
Together, these elements form a continuously updating trend framework anchored in volume flow reality.
Interpretation
Smart Money Flow Cloud should be interpreted as flow-confirmed trend boundaries:
Bullish Regime (Blue) : Activated when price crosses above the upper adaptive band, indicating volume-confirmed buying pressure exceeding volatility-adjusted resistance.
Bearish Regime (Red) : Established when price crosses below the lower adaptive band, identifying volume-confirmed selling pressure breaking volatility-adjusted support.
Baseline Cloud : The gap between smoothed open and smoothed close within the baseline visualizes intrabar directional bias - wider clouds indicate stronger intrabar momentum.
Adaptive Band Width : Reflects combined volatility and flow strength - wider bands during high-conviction institutional activity, tighter bands during consolidation or weak flow periods.
Buy/Sell Labels : Appear at regime switches when price crosses from one band to the other, marking potential trend inception points.
Retest Signals (✦) : Diamond markers indicate price touching the baseline within an established regime, often occurring during healthy pullbacks in trending markets.
Trend Strength Gauge : Visual meter displays current regime strength as a percentage, calculated from price position within the active band relative to baseline.
Background Gradient : Optional coloring intensity reflects flow strength magnitude, darkening during high-conviction periods.
Flow strength, band width adaptation, and baseline relationship outweigh isolated price fluctuations.
Signal Logic & Visual Cues
Smart Money Flow Cloud presents three primary interaction signals:
Regime Switch - Buy : Blue "Buy" label appears when price crosses above the upper band after previously being in a bearish regime, suggesting volume-confirmed bullish transition.
Regime Switch - Sell : Red "Sell" label displays when price crosses below the lower band after previously being in a bullish regime, indicating volume-confirmed bearish transition.
Trend Retest : Diamond (✦) markers appear when price touches the baseline within an established regime, with configurable cooldown periods to filter noise.
Alert generation covers regime switches and retest events for systematic monitoring.
Strategy Integration
Smart Money Flow Cloud fits within volume-informed and institutional flow trading approaches:
Flow-Confirmed Entry : Use regime switches as primary trend inception signals where volume validates directional breakouts.
Retest-Based Refinement : Enter on baseline retest signals within established regimes for improved risk-reward positioning during pullbacks.
Band Width Context : Expect wider price swings when bands expand (high flow strength), tighter ranges when bands contract (weak flow).
Baseline Cloud Confirmation : Favor trades where baseline cloud width confirms intrabar momentum alignment with regime direction.
Strength Gauge Filtering : Use trend strength percentage to gauge continuation probability - higher readings suggest stronger institutional conviction.
Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant flow direction.
Technical Implementation Details
Core Engine : Configurable EMA or ALMA baseline with secondary smoothing
Flow Model : Close Location Value (CLV) with volume weighting and ratio normalization
Strength Transformation : Configurable power function for nonlinear flow amplification
Band Construction : ATR-scaled width with flow-strength-interpolated multipliers
Visualization : Dual-line baseline cloud with gradient fills, regime-colored bands, and embedded strength gauge
Signal Logic : Band crossover detection with baseline retest identification and cooldown management
Performance Profile : Optimized for real-time execution with minimal computational overhead
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure regime detection for scalping and intraday reversals
15 - 60 min : Intraday trend identification with flow-validated swings
4H - Daily : Swing and position-level regime analysis with institutional flow context
Suggested Baseline Configuration:
Trend Length : 34
Trend Engine : EMA
Trend Smoothing : 3
Flow Window : 24
Flow Smoothing : 5
Flow Boost : 1.2
ATR Length : 14
Band Tightness (Calm) : 0.9
Band Expansion (Strong Flow) : 2.2
Reset Cooldown : 12
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, volatility characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Bands too wide/frequent whipsaws : Reduce "Band Expansion (Strong Flow)" to limit maximum band width, or increase "Band Tightness (Calm)" to widen minimum bands and reduce noise sensitivity.
Trend baseline too choppy : Increase "Trend Length" for smoother baseline, or increase "Trend Smoothing" for additional filtering.
Flow readings unstable : Increase "Flow Smoothing" to reduce bar-to-bar noise in money flow calculation.
Missing legitimate regime changes : Decrease "Trend Length" for faster baseline response, or reduce "Band Tightness (Calm)" for earlier breakout detection.
Too many retest signals : Increase "Reset Cooldown" to space out retest markers, or disable retest signals entirely if not using pullback entries.
Flow strength not responding : Increase "Flow Boost" (power factor) to amplify strong flow differentiation, or decrease "Flow Window" to emphasize recent volume activity.
Prefer different smoothing characteristics : Switch "Trend Engine" to ALMA and adjust "ALMA Offset" (higher = more recent weighting) and "ALMA Sigma" (higher = smoother) for alternative baseline behavior.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with consistent volume participation and institutional flow
Instruments where volume accurately reflects true liquidity and conviction
Trending environments where flow confirms directional price movement
Mean-reversion strategies using retest signals within established regimes
Reduced Effectiveness:
Extremely low volume environments where flow calculations become unreliable
News-driven or gapped markets with discontinuous volume patterns
Highly manipulated or thinly traded instruments with erratic volume distribution
Ranging markets where price oscillates within bands without conviction
Integration Guidelines
Confluence : Combine with BOSWaves structure, order flow analysis, or traditional volume profile
Flow Validation : Trust regime switches accompanied by strong flow readings and wide band expansion
Context Awareness : Consider whether current market regime matches historical flow patterns
Retest Discipline : Use baseline retest signals as confirmation within trends, not standalone entries
Breach Management : Exit regime-aligned positions when price crosses opposing band with volume confirmation
Disclaimer
Smart Money Flow Cloud is a professional-grade volume flow and trend analysis tool. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, market context, and comprehensive risk management.
Fibonacci Sequence Grid [BigBeluga]🔵 OVERVIEW
A geometric price mapping tool that projects Fibonacci sequence levels and grid structures from recent price swings to help traders visualize natural expansion and reversion zones.
This indicator overlays Fibonacci-based structures directly on the chart, utilizing both grid projections and horizontal levels based on the classic Fibonacci integer sequence (0, 1, 1, 2, 3, 5, 8, ...). It identifies recent swing highs or lows and builds precision-aligned levels based on the trend direction.
🔵 CONCEPTS
Uses the Fibonacci integer sequence (not ratios) to define distances from the most recent swing point.
Identifies a trend based on EMA cross of fast and slow periods.
Projects two types of Fibonacci tools:
A grid projection from the swing point, displaying multiple sloped levels based on the sequence.
A set of horizontal Fibonacci levels for clean structural references.
Levels can be plotted from either swing low or high depending on the current trend direction.
Adjustable “Size” inputs control spacing between levels for better price alignment.
Lookback period defines how far the script searches for recent swing extremes.
🔵 FEATURES
Fibonacci Grid Projection:
Draws two mirrored Fibonacci grids—one expanding away from the swing high/low, the other converging toward price.
Swing-Based Trend Detection:
Uses a fast/slow EMA crossover to determine trend direction and reference swing points for projections.
Fibonacci Sequence Levels:
Displays horizontal levels based on the Fibonacci number sequence (0, 1, 2, 3, 5, 8, 13, 21...) for natural price targets.
Dynamic Labels and Coloring:
Each level is labeled with its sequence value and colored based on trend direction (e.g., red = downtrend, green = uptrend).
Both grids and levels can be toggled on/off independently.
Sizing controls allow tighter or looser clustering of levels depending on chart scale.
🔵 HOW TO USE
Enable Fibonacci Grid to visualize price expansion zones during impulsive trends.
Use Fibonacci Levels as horizontal support/resistance or target zones.
A label below price means the current trend is up and levels are projected from swing low.
A label above price means trend is down and levels are projected from swing high.
Adjust “Size” input to fit grid/level projection to your preferred chart scale or instrument volatility.
Use in confluence with price action, trend indicators, or volume tools for layered trading decisions.
🔵 CONCLUSION
Fibonacci Sequence Grid reimagines Fibonacci analysis using whole-number spacing from natural math progressions. Whether used for projecting grid-based expansions or horizontal support/resistance zones, it provides a powerful and intuitive structure to trade within. Perfect for traders who rely on symmetry, market geometry, and mathematically consistent levels.
15M Swing Structure & Retracement Algo (RB Trading)This script is an intraday structure analysis tool designed to map swing behavior retracement zones and projected extensions on the fifteen minute chart. It is purpose built for EUR/USD GBP/CAD and USD/CAD and is not intended for other markets or timeframes.
The tool highlights mathematically derived retracement areas after confirmed swing formations to help traders evaluate structure rather than predict direction.
Intended Use
✓ Timeframe fifteen minute only
✓ Markets EUR/USD GBP/CAD USD/CAD
✓ Style intraday swing structure analysis
✓ Best during London and New York sessions
✓ Not designed for Asia session conditions
Core Logic
✓ Swing highs and lows detected using a configurable lookback
✓ Trend context defined by 50 and 200 EMA relationship
✓ Swing range measured between most recent confirmed pivots
✓ Key retracement zone calculated between 50 and 61.8 percent
✓ Extension reference levels projected beyond the swing range
Visual Output
✓ Swing connection line marking the measured range
✓ Retracement zone shading when price enters the 50 to 61.8 area
✓ Extension reference levels at 161.8 200 and 261.8
✓ Color coding reflects structural context
• Green for bullish structure
• Red for bearish structure
Using RB Trading DeM Bars for Confirmation
For additional confirmation users can combine this script with the free RB Trading DeM Bars indicator.
✓ The DeM Bars appear as a histogram at the bottom of the chart
✓ Best used to assess pullback quality into the retracement zone
✓ Ideal confirmation occurs when momentum fades during the pullback
✓ Expansion in momentum as price exits the zone supports continuation
The DeM Bars are not a signal tool on their own. They are designed to confirm exhaustion or reacceleration as price interacts with the structural retracement area.
Why Fifteen Minute
The calculations are calibrated for intraday behavior on the fifteen minute chart. Higher timeframes develop structure too slowly for active evaluation. Lower timeframes introduce excess noise and reduce swing reliability.
Structure Interpretation
Bullish structure
✓ 50 EMA above 200 EMA
✓ Retracements measured from swing high
✓ Extensions projected higher
Bearish structure
✓ 50 EMA below 200 EMA
✓ Retracements measured from swing low
✓ Extensions projected lower
The script reflects current structure only. It does not determine trade direction or outcome.
Inputs
✓ EMA lengths adjustable
✓ Swing lookback sensitivity
✓ Optional display toggles for zones lines and labels
✓ Reference level buffer for spread or volatility awareness
Important Notes
This tool analyzes historical price structure only. It does not provide entry signals predictions or guarantees. All levels are mathematical projections based on past price action and may or may not be respected in future movement.
Educational use only. Proper risk management is required. Test thoroughly before live application.
RB Trading
Price Line with SMA & StdDev ChannelIndicator Synopsis
This indicator is a stand-alone price-based oscillator that mirrors market price action in a separate pane, allowing traders to analyze structure, momentum, and volatility without the visual noise of the main chart.
The indicator plots a raw price line as its core component, creating a one-to-one representation of price movement detached from candlesticks. A 14-period Simple Moving Average (SMA) smooths this price line to help identify short-term momentum shifts and directional bias.
A volatility channel is constructed around a 20-period SMA, which serves as the channel’s equilibrium (mean). The upper and lower channel boundaries are positioned one standard deviation above and below the 20-period SMA, dynamically adapting to changes in market volatility.
This structure allows traders to:
Identify mean reversion opportunities when price stretches beyond the channel
Observe trend strength and continuation when price holds above or below the channel midline
Detect volatility expansion and contraction through channel width
Use the SMA 14 as a momentum filter against the broader 20-period mean
By isolating price behavior into a separate pane, the indicator provides a clear, uncluttered framework for reading price dynamics, making it suitable for discretionary analysis, momentum confirmation, and volatility-based trade planning.
Amavasya Time-Based Support & Resistance🌑 Amavasya Time-Based Support & Resistance (Research)
This indicator explores time-based price behavior around Amavasya (New Moon) dates by plotting structured support and resistance reference levels derived from specific calendar events.
🔹 Core Concept
For each predefined Amavasya date, the script captures that day’s High and Low as temporary reference levels. These levels are then observed independently over time.
• If price breaks the Amavasya High for the first time, the breakout day’s High becomes a permanent resistance level.
• If price breaks the Amavasya Low for the first time, the breakout day’s Low becomes a permanent support level.
Each side (High / Low) operates independently and may remain temporary for extended periods (months or years) until its first valid break occurs.
🔹 Key Characteristics
• Each Amavasya date forms a separate and independent cycle
• High-side and Low-side logic are fully independent
• Only the first breakout fixes a level permanently
• Permanent levels never repaint or shift again
• Optional daily anchoring ensures consistency across timeframes
🔹 How to Use
Traders can use these levels as reference zones to study historical reactions, structural acceptance/rejection, and long-term behavioral patterns around time-based price levels.
This tool is designed for research and observational analysis only and does not provide buy/sell signals or predictive guarantees.
⚠️ Not financial advice.
Opening Range {basic}Introduction
Opening range {basic} is a clean and reliable indicator designed to help traders visualize the opening range of a trading session with minimal setup and visual clutter.
This version focuses on the core components of opening range analysis, making it ideal for traders who want a simple, effective framework for identifying early-session structure across futures, forex and crypto markets.
Description
The indicator automatically calculates the opening range high, low and midpoint over a user-defined opening window (5m, 15m, 30m or 60m) within a selected trading session (default: NY session).
During the opening range window, the indicator dynamically tracks price to form the range. Once the opening range is complete, the high, low and midpoint are extended forward for the remainder of the session, providing clear reference levels that can be used for bias, mean reversion or breakout-based decision making.
A shaded fill highlights the opening range area, with an optional size display showing the total range in price units. Styling and logic are intentionally simplified to keep the chart clean and easy to interpret.
Features
Configurable opening range length
Choose between 5m, 15m, 30m or 60m opening ranges.
Session-based calculation
Opening range is calculated only within the selected trading session.
Opening range levels
Opening range high, low and midpoint.
Range fill & size display
Shaded fill between the opening range high and low.
Text showing total opening range size.
Clean, minimal design
Fixed line styles and thickness for clarity.
Dark and light theme support.
Minimal settings for fast, intuitive use.
Optimized performance
Designed for intraday timeframes compatible with the selected opening range length.
Terms & Conditions
This indicator is provided for educational and informational purposes only and does not constitute financial advice.
Trading involves risk and past performance is not indicative of future results.
The user assumes full responsibility for any trading decisions made using this indicator.
AI Smart Signal + Adaptive SuperTrend + Demand/Supply# AI Smart Signal - Complete User Guide
This "All-in-One" indicator combines multiple advanced technical analysis techniques to assist you in making better trading decisions. It is designed to provide clear buy/sell signals, identify trend direction, and automatically plot support/resistance zones.
---
## 1. Key Features
### A. Buy & Sell Signals
The indicator provides clear entry signals directly on your chart. You can customize the source of these signals in the settings.
* **AI Smart Signal (SuperTrend):** Signals based on the primary trend (**Recommended**).
* **Market Structure:** Signals based on market highs and lows (Higher Highs, Lower Lows).
* **Heiken Ashi Reversal:** Signals triggered when Heiken Ashi candle colors change.
* **EMA Crossover:** Signals when EMA 10 crosses EMA 20.
**Signal Display:**
* **BUY:** Appears when bullish conditions are met (Green).
* **SELL:** Appears when bearish conditions are met (Red).
* *Note: Signal shapes can be customized (e.g., Arrow, Box, Triangle).*
### B. Heiken Ashi Ribbon (Trend Cloud)
This colored ribbon visualizes the background trend.
* **Blue/Green:** System is **Bullish** (Uptrend). Look for BUY opportunities.
* **Red/Pink:** System is **Bearish** (Downtrend). Look for SELL opportunities.
* **Dots:**
* **Small Dots:** Weak momentum or sideways market.
* **Large Dots:** Strong momentum. A good sign for trend continuation.
### C. Moving Averages (MA)
Helps visualize long-term trends. Enable these in settings if desired.
* **MA 50 (Yellow):** Medium-term trend.
* **MA 200 (White):** Long-term trend.
* Price **ABOVE** MA 200 = Uptrend (Bias: Buy).
* Price **BELOW** MA 200 = Downtrend (Bias: Sell).
### D. Demand & Supply Zones
Automatically plots key support and resistance levels.
* **Green Zones (Demand):** Strong support areas. High probability of price bouncing up.
* **Red Zones (Supply):** Strong resistance areas. High probability of price rejecting down.
### E. Dashboard
A panel in the top-right corner providing a quick market summary.
* **Probability:** Estimated probability of price direction based on confluence.
* **Trend:** Current short-term trend direction.
* **MA 200 TREND:** Critical filter! Trade in the direction of this trend for higher win rates.
* **Multi-Timeframe:** Shows trend alignment across higher timeframes (e.g., M15, H1, D1).
---
## 2. Simple Trading Strategy
### FOR BUY SETUP:
1. **Wait for a BUY Signal** to appear.
2. Confirm the **Ribbon** has turned **Blue/Green**.
3. (Safer) Confirm price is **ABOVE the MA 200** line or Dashboard shows "MA 200 Trend: Bullish".
4. (Optional) Look for **Large Dots** on the ribbon indicating strong momentum.
### FOR SELL SETUP:
1. **Wait for a SELL Signal** to appear.
2. Confirm the **Ribbon** has turned **Red**.
3. (Safer) Confirm price is **BELOW the MA 200** line or Dashboard shows "MA 200 Trend: Bearish".
### RISK MANAGEMENT:
* **Stop Loss (SL):** Place just below the nearest "Demand Zone" (for Buy) or above the nearest "Supply Zone" (for Sell).
* **Take Profit (TP):** Exit when an opposite colored signal appears, or when price reaches the next Zone.
---
## 3. Settings
You can customize the indicator by clicking the specific "Settings" (gear icon) on the indicator name.
* **Signal Strategy > Entry Signal Source:** Change the logic behind the signals (e.g., switch to "Market Structure" for swing trading).
* **Appearance:** Customize colors for candles and ribbons.
* **Dashboard:** Uncheck "Show AI SMART SIGNAL Dashboard" to hide the panel.
* **MAs (Long-term):** Check "Show MA 200" to see the major trend line.
* **Demand/Supply Zones:** Adjust "Zone Strength Threshold" to filter for only the strongest levels.
EMA BBEMA BB is a chart overlay indicator that combines EMA 9, EMA 20, SMA 50, SMA 200, and VWAP with Bollinger Bands to visualize trend direction and volatility.
It highlights volatility squeeze zones by comparing Bollinger Bands with ATR, helping traders spot consolidation phases that often precede strong price moves. Designed for quick trend confirmation, support/resistance awareness, and breakout setups.
SuperTrend Scalper A SuperTrend-based scalping system with multiple filters to trade only strong intraday trends and avoid sideways markets. 🔥📈.
This indicator is an intraday scalping system primarily for Nifty and Sensex that trades only when strong trend conditions are present. It uses Fast and Slow SuperTrend to identify direction and entry timing, with an option to trade using either Dual SuperTrend (safer) or Single SuperTrend (aggressive) mode.
Trades are filtered using VWAP bias, volatility checks, no-trade consolidation zones, and specific trading sessions to avoid low-probability market conditions. Re-entries are allowed in Dual mode to capture pullbacks during strong trends.
Visual tools like EMA, bar coloring, background shading, GO alerts, and a dashboard help confirm momentum and market readiness, making the system more about trading only when conditions are right, not about taking too many trades.
Suggestions are welcome ;-)
Feel free to test and play with inputs
Ghost Shadow [Bit2Billions]📌 Ghost Shadow — Adaptive Momentum & Divergence Engine
Ghost Shadow is a closed-source momentum intelligence system designed to provide a consistent, structured interpretation of momentum, divergence, and trend transitions across all markets and timeframes.
Traditional momentum indicators often behave inconsistently across assets, rely on fixed thresholds, or produce isolated signals with little context. Ghost Shadow addresses this by normalizing momentum behavior and synchronizing all momentum-related analysis into one adaptive framework driven by shared internal logic.
This script is not a simple mashup of public indicators.
All components operate from the same normalized momentum and swing engines, ensuring coherence, originality, and practical trading context.
📌 Reason for Mashup
Reliable momentum analysis cannot be achieved using isolated oscillators.
MACD behavior, stochastic momentum, divergence, candle structure, and supply/demand pressure are interdependent. When these tools are used separately, traders often encounter noise, contradictory signals, or inconsistent readings across markets.
Ghost Shadow intentionally combines these elements so that:
* Momentum is defined once using a normalized baseline
* All secondary analysis references that same momentum state
* Context is added without introducing conflicting signals
The mashup exists to standardize and contextualize momentum interpretation, not to merge unrelated indicators.
📌 How the Script Works
Ghost Shadow follows a single internal momentum pipeline:
### Step 1: Normalized Adaptive MACD Core
A proprietary normalization process converts MACD behavior into percentage-scaled momentum zones.
This allows momentum to behave consistently across symbols and timeframes instead of reacting differently in each market.
### Step 2: Heikin-Ashi-Style MACD Structure
MACD values are processed into smoothed, candle-style structures that define internal momentum swings.
These structures act as the reference point for all other modules.
### Step 3: Stochastic Momentum Layer
Stochastic momentum is evaluated using the same swing and normalization logic, providing adaptive OB/OS pressure rather than fixed levels.
### Step 4: Divergence Detection Engine
Price swings are compared against MACD and stochastic swings using past-data-only pivots.
This ensures divergence signals are structurally validated and non-repainting.
### Step 5: Contextual Confirmation Layers
Candle behavior, supply/demand pressure, and volume scoring respond to momentum shifts to provide confirmation and context rather than independent signals.
### Step 6: Dashboard Aggregation
All module outputs are summarized into a visual dashboard that presents directional bias and momentum state in a clear, centralized format.
Because all components reference the same normalized momentum structure, outputs reinforce rather than contradict each other.
📌 What Problem This Script Solves
Most traders experience the following issues with momentum tools:
• MACD behaving differently across markets
• Fixed OB/OS levels failing under changing volatility
• Divergence indicators that repaint or lack structure context
• Overcrowded charts from multiple momentum indicators
• Difficulty combining momentum, divergence, and candle behavior
Ghost Shadow solves these issues by providing:
• Consistent, normalized momentum behavior
• Volatility-responsive OB/OS logic
• Real-time, non-repainting divergence detection
• Integrated candle and pressure context
• A clean, unified visual workflow
The result is a clear momentum context instead of fragmented signals.
📌 Why This Momentum System Is Different From Standard Tools
Traditional momentum indicators:
• Use raw MACD values
• Rely on fixed thresholds
• Treat markets uniformly
• Generate isolated signals
Ghost Shadow:
• Normalizes momentum into percentage-based zones
• Adapts OB/OS behavior to volatility
• Evaluates momentum structurally
• Aligns divergence, stochastic pressure, and candle behavior
• Maintains consistency across timeframes
This makes Ghost Shadow a momentum interpretation system, not a basic oscillator.
📌 Why Traders Pay for This Script
Ghost Shadow justifies paid, invite-only access because it replaces multiple manual and automated momentum tools with a single closed-source framework built on original normalization and integration logic.
It replaces:
• Multiple MACD variations
• Separate stochastic indicators
• Standalone divergence scripts
• Candle-pattern scanners
• Manual momentum bias assessment
• Multi-timeframe momentum comparisons
The value is not in individual concepts such as MACD or stochastic, but in how they are normalized, synchronized, and contextually interpreted within one system.
This level of consistency, clarity, and workflow efficiency cannot be achieved by combining public indicators, which is why Ghost Shadow is offered as a closed-source, paid script.
📌 Usage Notes
Ghost Shadow is designed for momentum analysis and context building, not automated trade execution.
All visuals are intended to support interpretation and planning rather than generate guaranteed entries or exits.
📌 Key Features
• Normalized Adaptive MACD
Percentage-based MACD with dynamic overbought/oversold shading for stable momentum context across assets.
• Heikin-Ashi MACD Candles
Smooth, noise-reduced candle representation for clearer swing identification.
• Stochastic Candles & Signals
OB/OS highlights, adaptive zone shifts, and real-time divergence detection.
• Divergence Engine
Flexible detection of:
* Regular Divergence (bull & bear – dashed lines)
* Hidden Divergence (bull & bear – dotted lines)
* Live developing divergences using past-data only (no lookahead)
• Multi-Module Dashboard
A structured overview of everything happening on the chart in one place.
📌 Dashboard Metrics
📌 MACD Bias
Directional momentum & trend strength from the normalized MACD engine.
📌 Stochastic Bias
Short-term momentum read with OB/OS sensitivity.
📌 Candle Pattern Detection (70+ patterns)
Doji, Morning/Evening Star, Shooting Star, Hammer, Bearish/Bullish Engulfing, Harami, Piercing Line, Hanging Man, Spinning Top, Dark Cloud Cover, Raindrop/Doji, Tweezer Top/Bottom, Tower patterns, Inside/Outside Bar, Three Line Strike, Three White Soldiers, Three Black Crows, Marubozu, Tasuki patterns, Rising/Falling Three Methods — and many more.
📌 Body/Wick/Volume Ratios
Automatic interpretation of candle sentiment through proportional body/wick/volume analysis.
📌 Demand & Supply Strength
Real-time scoring of active candle pressure and MA-based supply/demand bias.
📌 Directional Bias
Aggregated long/short *lean* using combined momentum, divergence, and structure inputs.
*This is a contextual bias, not an automated signal.*
Higher-Timeframe Metrics
* HTF Trap Levels & Scoring
* HTF Volume Conditions
* HTF Price Action Alignment
* Quick HTF Bias Reads
📌 Market Summary
Consolidated sentiment, structure, and volatility status into one panel.
🔹 How Modules Work Together (Conceptual Overview)
Ghost Shadow uses a structured pipeline:
1. Normalized MACD builds the base momentum landscape.
2. Swing Structure is read internally to anchor divergences and zone shifts.
3. Divergence Engine compares MACD/Stoch swings vs price swings using past pivots only.
4. Adaptive OB/OS Zones adjust to volatility using dynamic scaling.
5. Dashboard aggregates all module outputs into a unified directional lean for interpretation.
This ensures each module references the same internal logic rather than acting as separate uncorrelated tools.
📌 Visual Design & Chart Clarity
* Only essential real-time labels shown.
* All historical/replayed labels disabled to maintain chart cleanliness.
* Consistent color-coded visuals for divergence, momentum zones, and pattern signals.
* Shapes, line-styles, and colors remain organized for fast interpretation.
📌 Divergence Lines
* Regular Divergence: Dashed Green/Red
* Hidden Divergence: Dotted Green/Red
📌 Inputs & Settings
* Clean layout with simple Show/Hide toggles
* Pre-configured defaults
* Minimal exposed fields for ease of use
* Designed to reduce setup time and improve workflow speed
📌 Recommended Timeframes & Markets
* Best on 15m, 1H, 4H, Daily, Weekly
* Works across forex, crypto, indices, commodities, equities
* Pivot-based structures may show noise on illiquid assets
📌 Performance & Limitations
* Heavy modules may draw many objects → disable unused sections
* If the chart stops loading objects, simply refresh
* All TradingView platform limitations handled internally
📌 License & Legal
* Proprietary © 2025
* Redistribution, resale, or sharing of internals is prohibited
* Independently developed; uses only public-domain trading concepts
* Any resemblance to other tools is coincidental and concept-based only
📌 Respect & Transparency
* Built fully on public, widely known trading concepts
* No code reused or copied; all logic developed independently
* If any similarity is noticed, it can be addressed constructively
📌 Disclaimer
* For education and analysis only
* Not financial advice
* Market risk is real — always backtest and manage risk properly
📌 FAQs
* Source code is not public
* Works best on 15m, 1H, 4H, Daily, Weekly
* All modules individually toggleable
* Alerts can be set manually
* Compatible with forex, crypto, indices, commodities, and equities
📌 About Ghost Trading Suite
Author: BIT2BILLIONS
Project: Ghost Trading Suite © 2025
Indicators: Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow
Strategies: Ghost Robo, Ghost Robo Plus
Pine Version: V6
The Ghost Trading Suite is designed to simplify and automate many aspects of chart analysis. It helps traders identify market structure, divergences, support and resistance levels, and momentum efficiently, reducing manual charting time.
The suite includes several integrated tools — such as Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow, Ghost Robo, and Ghost Robo Plus — each combining analytical modules for enhanced clarity in trend direction, volatility, pivot detection, and momentum tracking.
Together, these tools form a cohesive framework that assists in visualizing market behavior, measuring momentum, detecting pivots, and analyzing price structure effectively.
This project focuses on providing adaptable and professional-grade tools that turn complex market data into clear, actionable insights for technical analysis.
Crafted with 💖 by BIT2BILLIONS for Traders. That's All Folks!
📌 Changelog
v1.0 – Core Release
* Introduced Normalized Adaptive MACD with percentage-based zones and overbought/oversold shading.
* Added Heikin-Ashi style MACD candles for smoother swing visualization.
* Implemented Stochastic Candles with dynamic zones and divergence detection.
* Added Real-Time Divergence Engine for MACD and Stochastic (regular, hidden, live).
* Integrated Automated Candle Pattern Recognition with 70+ patterns.
* Added Body/Wick/Volume Ratio Metrics for long/short market analysis.
* Implemented Demand & Supply Strength Analysis (current candle & moving average-based).
* Added Directional Predictions for long and short positions.
* Developed Higher-Timeframe Analysis Modules with traps, volume, alignment, and quick signals.
* Added Comprehensive Dashboard summarizing momentum, patterns, HTF traps, and actionable market status.
