Trend Step Channel [BigBeluga]🔵 OVERVIEW
Trend Step Channel identifies directional bias by forming a dynamic volatility-based step channel. It detects trend shifts when candle lows close above the upper band (bullish) or when candle highs drop below the lower band (bearish). A step-style midline tracks the trend evolution, while an integrated dashboard shows price positioning percentages across multiple timeframes.
🔵 CONCEPTS
ATR-Based Channel — The indicator constructs upper and lower channel boundaries using ATR distance around a single adaptive trend line, providing automatic scaling with volatility.
Trend Direction Logic —
• Low above upper band → uptrend confirmation.
• High below lower band → downtrend confirmation.
Step Trend Line — A reactive midline that locks onto price swings, stepping upward or downward as new trend confirmations occur.
Channel Width — Defines the total volatility range around the midline; a wider channel smooths market noise, while a narrower one reacts faster.
Price Position Ratio — Calculates the relative position of the close within the channel, from 0% (bottom) to 100% (top).
🔵 FEATURES
Volatility-Adaptive Channel — Expands and contracts dynamically to match market volatility, maintaining consistent distance scaling.
Configurable MA Source — Choose from SMA, EMA, SMMA, WMA, or VWMA as the base smoothing method.
Color-Coded Step Line —
• Green indicates an uptrend.
• Orange indicates a downtrend.
Channel Fill Visualization — Semi-transparent fills highlight active volatility zones for clear trend identification.
Price Position Label — Displays a “<” marker and percentage at the channel edge showing how far the current close is from the lower or upper band.
Multi-Timeframe Dashboard —
• Displays alignment across 1H–5H charts.
• Each cell shows an arrow (↑ / ↓) with price % positioning.
• Cell background color reflects bullish or bearish bias.
Real-Time Updating — The channel, midline, and dashboard refresh dynamically every bar for continuous feedback.
🔵 HOW TO USE
Trend Confirmation —
• Bullish trend forms when candle low closes above the upper band.
• Bearish trend forms when candle high closes below the lower band.
Trend Continuation — Maintain bias while the step line color remains consistent.
Volatility Breakouts — Sudden candle breaks outside the band suggest new directional strength.
Dashboard Alignment — Confirm trend consistency across multiple timeframes before entering trades.
Entry Planning — In uptrends, consider entries near the lower band; in downtrends, focus on upper-band rejections.
Price Position Insight — Use the % label to judge whether price is extended (near 100%) or compressed (near 0%) within the channel.
🔵 CONCLUSION
Trend Step Channel delivers a precise, volatility-driven view of trend structure using ATR-based boundaries and a step-line framework. The integrated dashboard, color-coded channel, and live positioning metrics give traders a complete picture of market direction, trend strength, and price location within evolving conditions.
Indikatoren und Strategien
Trend Tracer [AlgoAlpha]🟠 OVERVIEW
This tool builds a two-stage trend model that reacts to structure shifts while also showing how strong or weak the move is. It uses a mid-price band (from the highest high and lowest low over a lookback) and applies two Supertrend passes on top of it. The first pass smoothens the basis. The second pass refines that direction and produces the final trail used for signals. A gradient fill between the two trails uses RSI of price-to-trail distance to show when price is stretched or cooling off. The aim is to give traders a simple way to read trend alignment, pressure, and early turns without guessing.
🟠 CONCEPTS
The script starts with a mid-range basis. This is the average of the rolling highest high and lowest low. It acts as a stable structure reference instead of raw close or typical price. From there, two Supertrend layers are applied:
• The first Supertrend uses a shorter ATR period and lower factor. It reacts faster and sets the main regime.
• The second Supertrend uses a slightly longer ATR and higher factor. It filters noise, waits for confirmed continuation, and generates the signal line.
The interaction between these trails matters. The outer Supertrend provides context by defining the broader regime. The inner Supertrend provides timing by flipping earlier and marking possible shifts. The gradient fill uses RSI of (close − supertrend value) to display when price stretches away from the trail. This shows strength, exhaustion, or compression within the trend.
🟠 FEATURES
Bullish and bearish flip markers placed at recent highs/lows
Rejection signals off the trend tracer line
Alerts for bullish and bearish trend changes
🟠 USAGE
Setup : Add the script to your chart. Timeframe is flexible; lower timeframes show more flips while higher ones give cleaner swings. Adjust Length to change how wide the basis range is. Use the two ATR settings and factors to match the volatility of the market you trade.
Read the chart : When the refined trail (stv_) sits above price the regime is bearish; when below, it is bullish. The wide trail (stv) confirms the larger move. Watch the gradient fill: darker colors appear when price is stretched from the trail and lighter colors appear when the move is weakening. Flip markers ▲ or ▼ highlight the first clean shift of the refined trail.
Settings that matter : Increasing the Main Factor slows main-trend flips and filters chop. Increasing the Signal Factor delays the timing trail but reduces noise. Shortening Length makes the basis more reactive. ATR periods change how sensitive each Supertrend pass is to volatility.
Structure Breakout - Buy Sell IndicatorStructure Breakout - Buy Sell Indicator
📈 OVERVIEW:
A minimalist indicator that identifies market structure breakouts using swing point analysis.
Displays clear blue buy arrows and red sell arrows when price breaks key swing levels.
🔧 HOW IT WORKS:
1. Identifies swing highs and lows using configurable lookback period
2. Triggers BUY signal (blue arrow) when price closes above previous swing high
3. Triggers SELL signal (red arrow) when price closes below previous swing low
4. Uses clean visual arrows without cluttering the chart
⚙️ KEY FEATURES:
• Clean, uncluttered visual signals
• Customizable sensitivity period
• Blue arrows for buy signals (below bars)
• Red arrows for sell signals (above bars)
• No lagging repainting
• Works on all timeframes
🎯 TRADING APPLICATIONS:
• Swing trading entries
• Breakout confirmation
• Trend continuation signals
• Support/resistance breaks
⚡ SETTINGS:
• Structure Detection Period (default: 20) - Adjust sensitivity of swing detection
⚠️ RISK DISCLAIMER:
This is an educational tool. Always use proper risk management.
Past performance does not guarantee future results.
DarkPool FlowDarkPool Flow is a professional-grade technical analysis tool designed to align retail traders with the dominant "smart money" flow. Unlike standard moving average crossovers that often generate false signals during consolidation, this script employs a multi-layered filtering engine to isolate high-probability trends.
The core philosophy of this indicator is that Trends are fractal. A sustainable move on a lower timeframe must be supported by momentum on a higher timeframe. By comparing a "Fast Signal Trend" against a "Slow Anchor Trend" (e.g., Daily vs. Weekly), the script identifies the market bias used by institutional algorithms.
This edition features a Smart Recovery Engine, ensuring that valid trends are not missed simply because momentum started slowly, and a Dynamic Cloud that visually represents the strength of the trend spread.
Key Features
1. Auto-Adaptive Timeframe Logic
The script eliminates the guesswork of Multi-Timeframe (MTF) selection. By enabling "Auto-Adapt," the indicator detects your current chart timeframe and automatically maps it to the mathematically correct institutional pairings:
Scalping (<15m): Uses 15-Minute Trend vs. 1-Hour Anchor.
Day Trading (15m - 1H): Uses 4-Hour Trend vs. Daily Anchor.
Swing Trading (4H - Daily): Uses Daily Trend vs. Weekly Anchor (The classic "Golden" setup).
Investing (Weekly): Uses 21-Week EMA vs. 50-Week SMA (Bull Market Support Band logic).
2. Smart Recovery Signal Engine
Standard crossover scripts often miss major moves if the specific breakout candle has low volume or weak ADX. This script utilizes a state-machine logic that "remembers" the trend direction. If a trend begins during low volatility (gray candles), the script waits. The moment volatility and momentum confirm the move, a Smart Recovery Signal is triggered, allowing you to enter an existing trend safely.
3. Chop Protection (Gray Candles)
Preservation of capital is the priority. The script analyzes the Average Directional Index (ADX) and Volatility (ATR).
Colored Candles (Green/Red): The market is trending with sufficient strength. Trading is permitted.
Gray Candles: The market is in a low-energy chop or consolidation (ADX < 20). Trading is discouraged.
4. Dynamic Trend Cloud
The space between the Fast and Slow trends is filled with a dynamic cloud.
Darker/Opaque Cloud: Indicates a widening spread, suggesting accelerating momentum.
Lighter/Transparent Cloud: Indicates a narrowing spread, suggesting the trend may be weakening or consolidating.
5. Pullback & Retest Signals (+)
While triangles mark the start of a trend, the Plus (+) signs mark low-risk opportunities to add to a position. These appear when price dips into the cloud, finds support at the "Fair Value" zone, and closes back in the direction of the trend with confirmed momentum.
User Guide & Strategy
Setup
Add the indicator to your chart.
For Beginners: Enable "Auto-Adaptive Timeframes" in the settings.
For Advanced Users: Disable Auto-Adapt and manually configure your Fast/Slow pairings (Default is Daily 50 EMA / Weekly 50 EMA).
Signal Mode: Choose "First Breakout Only" for a cleaner chart, or "All Signals" if you wish to see re-entry points during choppy starts.
Long Entry Criteria (Buy)
Trend: The Cloud must be Green (Fast Trend > Slow Trend).
Signal: A Green Triangle appears below the bar.
Confirmation: The signal candle must not be Gray.
Re-Entry: A small Green (+) sign appears, indicating a successful test of the cloud support.
Short Entry Criteria (Sell)
Trend: The Cloud must be Red (Fast Trend < Slow Trend).
Signal: A Red Triangle appears above the bar.
Confirmation: The signal candle must not be Gray.
Re-Entry: A small Red (+) sign appears, indicating a successful test of the cloud resistance.
Stop Loss & Risk Management
Stop Loss: A standard institutional stop loss is placed just beyond the Slow Trend Line (the outer edge of the cloud). If price closes beyond the Slow Trend, the macro thesis is invalid.
Take Profit: Target liquidity pools or use a trailing stop based on the Fast Trend line.
Settings Overview
Mode Selection: Toggle between Auto-Adaptive logic or Manual control.
Manual Configuration: Define the specific Timeframe, Length, and Type (EMA, SMA, WMA) for both Fast and Slow trends.
Signal Logic: Toggle "Show Pullback Signals" on/off. Switch between "First Breakout" or "All Signals."
Quality Filters: Toggle individual filters (ATR, RSI, ADX) to adjust sensitivity. Turning these off makes the script more responsive but increases false signals.
Visual Style: Customize colors for Bullish, Bearish, and Neutral (Gray) states. Adjust cloud transparency.
Disclaimer
Risk Warning: Trading financial markets involves a high degree of risk and is not suitable for all investors. You could lose some or all of your initial investment.
Educational Use Only: This script and the information provided herein are for educational and informational purposes only. They do not constitute financial advice, investment advice, trading advice, or any other recommendation.
No Guarantee: Past performance of any trading system or methodology is not necessarily indicative of future results. The "Institutional Trend" indicator is a tool to assist in technical analysis, not a crystal ball. The creators of this script assume no responsibility or liability for any trading losses or damages incurred as a result of using this tool. Always perform your own due diligence and consult with a qualified financial advisor before making investment decisions.
Impulse Reactor RSI-SMA Trend Indicator [ApexLegion]Impulse Reactor RSI-SMA Trend Indicator
Introduction and Theoretical Background
Design Rationale
Standard indicators frequently generate binary 'BUY' or 'SELL' signals without accounting for the broader market context. This often results in erratic "Flip-Flop" behavior, where signals are triggered indiscriminately regardless of the prevailing volatility regime.
Impulse Reactor was engineered to address this limitation by unifying two critical requirements: Quantitative Rigor and Execution Flexibility.
The Solution
Composite Analytical Framework This script is not a simple visual overlay of existing indicators. It is an algorithmic synthesis designed to function as a unified decision-making engine. The primary objective was to implement rigorous quantitative analysis (Volatility Normalization, Structural Filtering) directly within an alert-enabled framework. This architecture is designed to process signals through strict, multi-factor validation protocols before generating real-time notifications, allowing users to focus on structurally validated setups without manual monitoring.
How It Works
This is not a simple visual mashup. It utilizes a cross-validation algorithm where the Trend Structure acts as a gatekeeper for Momentum signals:
Logic over Lag: Unlike simple moving average crossovers, this script uses a 15-layer Gradient Ribbon to detect "Laminar Flow." If the ribbon is knotted (Compression), the system mathematically suppresses all signals.
Volatility Normalization: The core calculation adapts to ATR (Average True Range). This means the indicator automatically expands in volatile markets and contracts in quiet ones, maintaining accuracy without constant manual tweaking.
Adaptive Signal Thresholding: It incorporates an 'Anti-Greed' algorithm (Dynamic Thresholding) that automatically adjusts entry criteria based on trend duration. This logic aims to mitigate the risk of entering positions during periods of statistical trend exhaustion.
Why Use It?
Market State Decoding: The gradient Ribbon visualizes the underlying trend phase in real-time.
◦ Cyan/Blue Flow: Strong Bullish Trend (Laminar Flow).
◦ Magenta/Pink Flow: Strong Bearish Trend.
◦ Compressed/Knotted: When the ribbon lines are tightly squeezed or overlapping, it signals Consolidation. The system filters signals here to avoid chop.
Noise Reduction: The goal is not to catch every pivot, but to isolate high-confidence setups. The logic explicitly filters out minor fluctuations to help maintain position alignment with the broader trend.
⚖️ Chapter 1: System Architecture
Introduction: Composite Analytical Framework
System Overview
Impulse Reactor serves as a comprehensive technical analysis engine designed to synthesize three distinct market dimensions—Momentum, Volatility, and Trend Structure—into a unified decision-making framework. Unlike traditional methods that analyze these metrics in isolation, this system functions as a central processing unit that integrates disparate data streams to construct a coherent model of market behavior.
Operational Objective
The primary objective is to transition from single-dimensional signal generation to a multi-factor assessment model. By fusing data from the Impulse Core (Volatility), Gradient Oscillator (Momentum), and Structural Baseline (Trend), the system aims to filter out stochastic noise and identify high-probability trade setups grounded in quantitative confluence.
Market Microstructure Analysis: Limitations of Conventional Models
Extensive backtesting and quantitative analysis have identified three critical inefficiencies in standard oscillator-based strategies:
• Bounded Oscillator Limitations (The "Oscillation Trap"): Traditional indicators such as RSI or Stochastics are mathematically constrained between fixed values (0 to 100). In strong trending environments, these metrics often saturate in "overbought" or "oversold" zones. Consequently, traders relying on static thresholds frequently exit structurally valid positions prematurely or initiate counter-trend trades against prevailing momentum, resulting in suboptimal performance.
• Quantitative Blindness to Quality: Standard moving averages and trend indicators often fail to distinguish the qualitative nature of price movement. They treat low-volume drift and high-velocity expansion identically. This inability to account for "Volatility Quality" leads to delayed responsiveness during critical market events.
• Fractal Dissonance (Timeframe Disconnect): Financial markets exhibit fractal characteristics where trends on lower timeframes may contradict higher timeframe structures. Manual integration of multi-timeframe analysis increases cognitive load and susceptibility to human error, often resulting in conflicting biases at the point of execution.
Core Design Principles
To mitigate the aforementioned systemic inefficiencies, Impulse Reactor employs a modular architecture governed by three foundational principles:
Principle A:
Volatility Precursor Analysis Market mechanics demonstrate that volatility expansion often functions as a leading indicator for directional price movement. The system is engineered to detect "Volatility Deviation" — specifically, the divergence between short-term and long-term volatility baselines—prior to its manifestation in price action. This allows for entry timing aligned with the expansion phase of market volatility.
Principle B:
Momentum Density Visualization The system replaces singular momentum lines with a "Momentum Density" model utilizing a 15-layer Simple Moving Average (SMA) Ribbon.
• Concept: This visualization represents the aggregate strength and consistency of the trend.
• Application: A fully aligned and expanded ribbon indicates a robust trend structure ("Laminar Flow") capable of withstanding minor counter-trend noise, whereas a compressed ribbon signals consolidation or structural weakness.
Principle C:
Adaptive Confluence Protocols Signal validity is strictly governed by a multi-dimensional confluence logic. The system suppresses signal generation unless there is synchronized confirmation across all three analytical vectors:
1. Volatility: Confirmed expansion via the Impulse Core.
2. Momentum: Directional alignment via the Hybrid Oscillator.
3. Structure: Trend validation via the Baseline. This strict filtering mechanism significantly reduces false positives in non-trending (choppy) environments while maintaining sensitivity to genuine breakouts.
🔍 Chapter 2: Core Modules & Algorithmic Logic
Module A: Impulse Core (Normalized Volatility Deviation)
Operational Logic The Impulse Core functions as a volatility-normalized momentum gauge rather than a standard oscillator. It is designed to identify "Volatility Contraction" (Squeeze) and "Volatility Expansion" phases by quantifying the divergence between short-term and long-term volatility states.
Volatility Z-Score Normalization
The formula implements a custom normalization algorithm. Unlike standard oscillators that rely on absolute price changes, this logic calculates the Z-Score of the Volatility Spread.
◦ Numerator: (atr_f - atr_s) captures the raw momentum of volatility expansion.
◦ Denominator: (std_f + 1e-6) standardizes this value against historical variance.
◦ Result: This allows the indicator scales consistently across assets (e.g., Bitcoin vs. Euro) without manual recalibration.
f_impulse() =>
atr_f = ta.atr(fastLen) // Fast Volatility Baseline
atr_s = ta.atr(slowLen) // Slow Volatility Baseline
std_f = ta.stdev(atr_f, devLen) // Volatility Standard Deviation
(atr_f - atr_s) / (std_f + 1e-6) // Normalized Differential Calculation
Algorithmic Framework
• Differential Calculation: The system computes the spread between a Fast Volatility Baseline (ATR-10) and a Slow Volatility Baseline (ATR-30).
• Normalization Protocol: To standardize consistency across diverse asset classes (e.g., Forex vs. Crypto), the raw differential is divided by the standard deviation of the volatility itself over a 30-period lookback.
• Signal Generation:
◦ Contraction (Squeeze): When the Fast ATR compresses below the Slow ATR, it registers a potential volatility buildup phase.
◦ Expansion (Release): A rapid divergence of the Fast ATR above the Slow ATR signals a confirmed volatility expansion, validating the strength of the move.
Module B: Gradient Oscillator (RSI-SMA Hybrid)
Design Rationale To mitigate the "noise" and "false reversal" signals common in single-line oscillators (like standard RSI), this module utilizes a 15-Layer Gradient Ribbon to visualize momentum density and persistence.
Technical Architecture
• Ribbon Array: The system generates 15 sequential Simple Moving Averages (SMA) applied to a volatility-adjusted RSI source. The length of each layer increases incrementally.
• State Analysis:
Momentum Alignment (Laminar Flow): When all 15 layers are expanded and parallel, it indicates a robust trend where buying/selling pressure is distributed evenly across multiple timeframes. This state helps filter out premature "overbought/oversold" signals.
• Consolidation (Compression): When the distance between the fastest layer (Layer 1) and the slowest layer (Layer 15) approaches zero or the layers intersect, the system identifies a "Non-Tradable Zone," preventing entries during choppy market conditions.
// Laminar Flow Validation
f_validate_trend() =>
// Calculate spread between Ribbon layers
ribbon_spread = ta.stdev(ribbon_array, 15)
// Only allow signals if Ribbon is expanded (Laminar Flow)
is_flowing = ribbon_spread > min_expansion_threshold
// If compressed (Knotted), force signal to false
is_flowing ? signal : na
Module C: Adaptive Signal Filtering (Behavioral Bias Mitigation)
This subsystem, operating as an algorithmic "Anti-Greed" Mechanism, addresses the statistical tendency for signal degradation following prolonged trends.
Dynamic Threshold Adjustment
• Win Streak Detection: The algorithm internally tracks the outcome of closed trade cycles.
• Sensitivity Multiplier: Upon detecting consecutive successful signals in the same direction, a Penalty_Factor is applied to the entry logic.
• Operational Impact: This effectively raises the Required_Slope threshold for subsequent signals. For example, after three consecutive bullish signals, the system requires a 30% steeper trend angle to validate a fourth entry. This enforces stricter discipline during extended trends to reduce the probability of entering at the point of trend exhaustion.
Anti-Greed Logic: Dynamic Threshold Calculation
f_adjust_threshold(base_slope, win_streak) =>
// Adds a 10% penalty to the difficulty for every consecutive win
penalty_factor = 0.10
risk_scaler = 1 + (win_streak * penalty_factor)
// Returns the new, harder-to-reach threshold
base_slope * risk_scaler
Module D: Trend Baseline (Triple-Smoothed Structure)
The Trend Baseline serves as the structural filter for all signals. It employs a Triple-Smoothed Hybrid Algorithm designed to balance lag reduction with noise filtration.
Smoothing Stages
1. Volatility Banding: Utilizes a SuperTrend-based calculation to establish the upper and lower boundaries of price action.
2. Weighted Filter: Applies a Weighted Moving Average (WMA) to prioritize recent price data.
3. Exponential Smoothing: A final Exponential Moving Average (EMA) pass is applied to create a seamless baseline curve.
Functionality
This "Heavy" baseline resists minor intraday volatility spikes while remaining responsive to sustained structural shifts. A signal is only considered valid if the price action maintains structural integrity relative to this baseline
🚦 Chapter 3: Risk Management & Exit Protocols
Quantitative Risk Management (TP/SL & Trailing)
Foundational Architecture: Volatility-Adjusted Geometry Unlike strategies relying on static nominal values, Impulse Reactor establishes dynamic risk boundaries derived from quantitative volatility metrics. This design aligns trade invalidation levels mathematically with the current market regime.
• ATR-Based Dynamic Bracketing:
The protocol calculates Stop-Loss and Take-Profit levels by applying Fibonacci coefficients (Default: 0.786 for SL / 1.618 for TP) to the Average True Range (ATR).
◦ High Volatility Environments: The risk bands automatically expand to accommodate wider variance, preventing premature exits caused by standard market noise.
◦ Low Volatility Environments: The bands contract to tighten risk parameters, thereby dynamically adjusting the Risk-to-Reward (R:R) geometry.
• Close-Validation Protocol ("Soft Stop"):
Institutional algorithms frequently execute liquidity sweeps—driving prices briefly below key support levels to accumulate inventory.
◦ Mechanism: When the "Soft Stop" feature is enabled, the system filters out intraday volatility spikes. The stop-loss is conditional; execution is triggered only if the candle closes beyond the invalidation threshold.
◦ Strategic Advantage: This logic distinguishes between momentary price wicks and genuine structural breakdowns, preserving positions during transient volatility.
• Step-Function Trailing Mechanism:
To protect unrealized PnL while allowing for normal price breathing, a two-phase trailing methodology is employed:
◦ Phase 1 (Activation): The trailing function remains dormant until the price advances by a pre-defined percentage threshold.
◦ Phase 2 (Dynamic Floor): Once armed, the stop level creates a moving floor, adjusting relative to price action while maintaining a volatility-based (ATR) buffer to systematically protect unrealized PnL.
• Algorithmic Exit Protocols (Dynamic Liquidity Analysis)
◦ Rationale: Inefficiencies of Static Targets Static "Take Profit" levels often result in suboptimal exits. They compel traders to close positions based on arbitrary figures rather than evolving market structure, potentially capping upside during significant trends or retaining positions while the underlying trend structure deteriorates.
◦ Solution: Structural Integrity Assessment The system utilizes a Dynamic Liquidity Engine to continuously audit the validity of the position. Instead of targeting a specific price point, the algorithm evaluates whether the trend remains statistically robust.
Multi-Factor Exit Logic (The Tri-Vector System)
The Smart Exit protocol executes only when specific algorithmic invalidation criteria are met:
• 1. Momentum Exhaustion (Confluence Decay): The system monitors a 168-hour rolling average of the Confluence Score. A significant deviation below this historical baseline indicates momentum exhaustion, signaling that the driving force behind the trend has dissipated prior to a price reversal. This enables preemptive exits before a potential drawdown.
• 2. Statistical Over-Extension (Mean Reversion): Utilizing the core volatility logic, the system identifies instances where price deviates beyond 2.0 standard deviations from the mean. While the trend may be technically bullish, this statistical anomaly suggests a high probability of mean reversion (elastic snap-back), triggering a defensive exit to capitalize on peak valuation.
• 3. Oscillator Rejection (Immediate Pivot): To manage sudden V-shaped volatility, the system monitors RSI pivots. If a sharp "Pivot High" or divergence is detected, the protocol triggers an immediate "Peak Exit," bypassing standard trend filters to secure liquidity during high-velocity reversals.
🎨 Chapter 4: Visualization Guide
Gradient Oscillator Ribbon
The 15-layer SMA ribbon visualized via plot(r1...r15) represents the "Momentum Density" of the market.
• Visuals:
◦ Cyan/Blue Ribbon: Indicates Bullish Momentum.
◦ Pink/Magenta Ribbon: Indicates Bearish Momentum.
• Interpretation:
◦ Laminar Flow: When the ribbon expands widely and flows in parallel, it signifies a robust trend where momentum is distributed evenly across timeframes. This is the ideal state for trend-following.
◦ Compression (Consolidation): If the ribbon becomes narrow, twisted, or knotted, it indicates a "Non-Tradable Zone" where the market lacks a unified direction. Traders are advised to wait for clarity.
◦ Over-Extension: If the top layer crosses the Overbought (85) or Oversold (15) lines, it visually warns of potential market overheating.
Trend Baseline
The thick, color-changing line plotted via plot(baseline) represents the Structural Backbone of the market.
• Visuals: Changes color based on the trend direction (Blue for Bullish, Pink for Bearish).
• Interpretation:
Structural Filter: Long positions are statistically favored only when price action sustains above this baseline, while short positions are favored below it.
Dynamic Support/Resistance: The baseline acts as a dynamic support level during uptrends and resistance during downtrends.
Entry Signals & Labels
Text labels ("Long Entry", "Short Entry") appear when the system detects high-probability setups grounded in quantitative confluence.
• Visuals: Labeled signals appear above/below specific candles.
• Interpretation:
These signals represent moments where Volatility (Expansion), Momentum (Alignment), and Structure (Trend) are synchronized.
Smart Exit: Labels such as "Smart Exit" or "Peak Exit" appear when the system detects momentum exhaustion or structural decay, prompting a defensive exit to preserve capital.
Dynamic TP/SL Boxes
The semi-transparent colored zones drawn via fill() represent the risk management geometry.
• Visuals: Colored boxes extending from the entry point to the Take Profit (TP) and Stop Loss (SL) levels.
• Function:
Volatility-Adjusted Geometry: Unlike static price targets, these boxes expand during high volatility (to prevent wicks from stopping you out) and contract during low volatility (to optimize Risk-to-Reward ratios).
SAR + MACD Glow
Small glowing shapes appearing above or below candles.
• Visuals: Triangle or circle glows near the price bars.
• Interpretation:
This visual indicates a secondary confirmation where Parabolic SAR and MACD align with the main trend direction. It serves as an additional confluence factor to increase confidence in the trade setup.
Support/Resistance Table
A small table located at the bottom-right of the chart.
• Function: Automatically identifies and displays recent Pivot Highs (Resistance) and Pivot Lows (Support).
• Interpretation: These levels can be used as potential targets for Take Profit or invalidation points for manual Stop Loss adjustments.
🖥️ Chapter 5: Dashboard & Operational Guide
Integrated Analytics Panel (Dashboard Overview)
To facilitate rapid decision-making without manual calculation, the system aggregates critical market dimensions into a unified "Heads-Up Display" (HUD). This panel monitors real-time metrics across multiple timeframes and analytical vectors.
A. Intermediate Structure (12H Trend)
• Function: Anchors the intraday analysis to the broader market structure using a 12-hour rolling window.
• Interpretation:
◦ Bullish (> +0.5%): Indicates a positive structural bias. Long setups align with the macro flow.
◦ Bearish (< -0.5%): Indicates structural weakness. Short setups are statistically favored.
◦ Neutral: Represents a ranging environment where the Confluence Score becomes the primary weighting factor.
B. Composite Confluence Score (Signal Confidence)
• Definition: A probability metric derived from the synchronization of Volatility (Impulse Core), Momentum (Ribbon), and Trend (Baseline).
• Grading Scale:
Strong Buy/Sell (> 7.0 / < 3.0): Indicates full alignment across all three vectors. Represents a "Prime Setup" eligible for standard position sizing.
Buy/Sell (5.0–7.0 / 3.0–5.0): Indicates a valid trend but with moderate volatility confirmation.
Neutral: Signals conflicting data (e.g., Bullish Momentum vs. Bearish Structure). Trading is not recommended ("No-Trade Zone").
C. Statistical Deviation Status (Mean Reversion)
• Logic: Utilizes Bollinger Band deviation principles to quantify how far price has stretched from the statistical mean (20 SMA).
• Alert States:
Over-Extended (> 2.0 SD): Warning that price is statistically likely to revert to the mean (Elastic Snap-back), even if the trend remains technically valid. New entries are discouraged in this zone.
Normal: Price is within standard distribution limits, suitable for trend-following entries.
D. Volatility Regime Classification
• Metric: Compares current ATR against a 100-period historical baseline to categorize the market state.
• Regimes:
Low Volatility (Lvl < 1.0): Market Compression. Often precedes volatility expansion events.
Mid Volatility (Lvl 1.0 - 1.5): Standard operating environment.
High Volatility (Lvl > 1.5): Elevated market stress. Risk parameters should be adjusted (e.g., reduced position size) to account for increased variance.
E. Performance Telemetry
• Function: Displays the historical reliability of the Trend Baseline for the current asset and timeframe.
• Operational Threshold: If the displayed Win Rate falls below 40%, it suggests the current market behavior is incoherent (choppy) and does not respect trend logic. In such cases, switching assets or timeframes is recommended.
Operational Protocols & Signal Decoding
Visual Interpretation Standards
• Laminar Flow (Trade Confirmation): A valid trend is visually confirmed when the 15-layer SMA Ribbon is fully expanded and parallel. This indicates distributed momentum across timeframes.
• Consolidation (No-Trade): If the ribbon appears twisted, knotted, or compressed, the market lacks a unified directional vector.
• Baseline Interaction: The Triple-Smoothed Baseline acts as a dynamic support/resistance filter. Long positions remain valid only while price sustains above this structure.
System Calibration (Settings)
• Adaptive Signal Filtering (Prev. Anti-Greed): Enabled by default. This logic automatically raises the required trend slope threshold following consecutive wins to mitigate behavioral bias.
• Impulse Sensitivity: Controls the reactivity of the Volatility Core. Higher settings capture faster moves but may introduce more noise.
⚙️ Chapter 6: System Configuration & Alert Guide
This section provides a complete breakdown of every adjustable setting within Impulse Reactor to assist you in tailoring the engine to your specific needs.
🌐 LANGUAGE SETTINGS (Localization)
◦ Select Language (Default: English):
Function: Instantly translates all chart labels, dashboard texts into your preferred language.
Supported: English, Korean, Chinese, Spanish
⚡ IMPULSE CORE SETTINGS (Volatility Engine)
◦ Deviation Lookback (Default: 30): The period used to calculate the standard deviation of volatility.
Role: Sets the baseline for normalizing momentum. Higher values make the core smoother but slower to react.
◦ Fast Pulse Length (Default: 10): The short-term ATR period.
Role: Detects rapid volatility expansion.
◦ Slow Pulse Length (Default: 30): The long-term ATR baseline.
Role: Establishes the background volatility level. The core signal is derived from the divergence between Fast and Slow pulses.
🎯 TP/SL SETTINGS (Risk Management)
◦ SL/TP Fibonacci (Default: 0.786 / 1.618): Selects the Fibonacci ratio used for risk calculation.
◦ SL/TP Multiplier (Default: 1.5 / 2): Applies a multiplier to the ATR-based bands.
Role: Expands or contracts the Take Profit and Stop Loss boxes. Increase these values for higher volatility assets (like Altcoins) to avoid premature stop-outs.
◦ ATR Length (Default: 14): The lookback period for calculating the Average True Range used in risk geometry.
◦ Use Soft Stop (Close Basis):
Role: If enabled, Stop Loss alerts only trigger if a candle closes beyond the invalidation level. This prevents being stopped out by wick manipulations.
🔊 RIBBON SETTINGS (Momentum Visualization)
◦ Show SMA Ribbon: Toggles the visibility of the 15-layer gradient ribbon.
◦ Ribbon Line Count (Default: 15): The number of SMA lines in the ribbon array.
◦ Ribbon Start Length (Default: 2) & Step (Default: 1): Defines the spread of the ribbon.
Role: Controls the "thickness" of the momentum density visualization. A wider step creates a broader ribbon, useful for higher timeframes.
📎 DISPLAY OPTIONS
◦ Show Entry Lines / TP/SL Box / Position Labels / S/R Levels / Dashboard: Toggles individual visual elements on the chart to reduce clutter.
◦ Show SAR+MACD Glow: Enables the secondary confirmation shapes (triangles/circles) above/below candles.
📈 TREND BASELINE (Structural Filter)
◦ Supertrend Factor (Default: 12) & ATR Period (Default: 90): Controls the sensitivity of the underlying Supertrend algorithm used for the baseline calculation.
◦ WMA Length (40) & EMA Length (14): The smoothing periods for the Triple-Smoothed Baseline.
◦ Min Trend Duration (Default: 10): The minimum number of bars the trend must be established before a signal is considered valid.
🧠 SMART EXIT (Dynamic Liquidity)
◦ Use Smart Exit: Enables the momentum exhaustion logic.
◦ Exit Threshold Score (Default: 3): The sensitivity level for triggering a Smart Exit. Lower values trigger earlier exits.
◦ Average Period (168) & Min Hold Bars (5): Defines the rolling window for momentum decay analysis and the minimum duration a trade must be held before Smart Exit logic activates.
🛡️ TRAILING STOP (Step)
◦ Use Trailing Stop: Activates the step-function trailing mechanism.
◦ Step 1 Activation % (0.5) & Offset % (0.5): The price must move 0.5% in your favor to arm the first trail level, which sets a stop 0.5% behind price.
◦ Step 2 Activation % (1) & Offset % (0.2): Once price moves 1%, the trail tightens to 0.2%, securing the position.
🌀 SAR & MACD SETTINGS (Secondary Confirmation)
◦ SAR Start/Increment/Max: Standard Parabolic SAR parameters.
◦ SAR Score Scaling (ATR): Adjusts how much weight the SAR signal has in the overall confluence score.
◦ MACD Fast/Slow/Signal: Standard MACD parameters used for the "Glow" signals.
🔄 ANTI-GREED LOGIC (Behavioral Bias)
◦ Strict Entry after Win: Enables the negative feedback loop.
◦ Strict Multiplier (Default: 1.1): Increases the entry difficulty by 10% after each win.
Role: Prevents overtrading and entering at the top of an extended trend.
🌍 HTF FILTER (Multi-Timeframe)
◦ Use Auto-Adaptive HTF Filter: Automatically selects a higher timeframe (e.g., 1H -> 4H) to filter signals.
◦ Bypass HTF on Steep Trigger: Allows an entry even against the HTF trend if the local momentum slope is exceptionally steep (catch powerful reversals).
📉 RSI PEAK & CHOPPINESS
◦ RSI Peak Exit (Instant): Triggers an immediate exit if a sharp RSI pivot (V-shape) is detected.
◦ Choppiness Filter: Suppresses signals if the Choppiness Index is above the threshold (Default: 60), indicating a flat market.
📐 SLOPE TRIGGER LOGIC
◦ Force Entry on Steep Slope: Overrides other filters if the price angle is extremely vertical (high velocity).
◦ Slope Sensitivity (1.5): The angle required to trigger this override.
⛔ FLAT MARKET FILTER (ADX & ATR)
◦ Use ADX Filter: Blocks signals if ADX is below the threshold (Default: 20), indicating no trend.
◦ Use ATR Flat Filter: Blocks signals if volatility drops below a critical level (dead market).
🔔 Alert Configuration Guide
Impulse Reactor is designed with a comprehensive suite of alert conditions, allowing you to automate your trading or receive real-time notifications for specific market events.
How to Set Up:
Click the "Alert" (Clock) icon in the TradingView toolbar.
Select "Impulse Reactor " from the Condition dropdown.
Choose one of the specific trigger conditions below:
🚀 Entry Signals (Trend Initiation)
Long Entry:
Trigger: Fires when a confirmed Bullish Setup is detected (Momentum + Volatility + Structure align).
Usage: Use this to enter new Long positions.
Short Entry:
Trigger: Fires when a confirmed Bearish Setup is detected.
Usage: Use this to enter new Short positions.
🎯 Profit Taking (Target Levels)
Long TP:
Trigger: Fires when price hits the calculated Take Profit level for a Long trade.
Usage: Automate partial or full profit taking.
Short TP:
Trigger: Fires when price hits the calculated Take Profit level for a Short trade.
Usage: Automate partial or full profit taking.
🛡️ Defensive Exits (Risk Management)
Smart Exit:
Trigger: Fires when the system detects momentum decay or statistical exhaustion (even if the trend hasn't fully reversed).
Usage: Recommended for tightening stops or closing positions early to preserve gains.
Overbought / Oversold:
Trigger: Fires when the ribbon extends into extreme zones.
Usage: Warning signal to prepare for a potential reversal or pullback.
💡 Secondary Confirmation (Confluence)
SAR+MACD Bullish:
Trigger: Fires when Parabolic SAR and MACD align bullishly with the main trend.
Usage: Ideal for Pyramiding (adding to an existing winning position).
SAR+MACD Bearish:
Trigger: Fires when Parabolic SAR and MACD align bearishly.
Usage: Ideal for adding to short positions.
⚠️ Chapter 7: Conclusion & Risk Disclosure
Methodological Synthesis
Impulse Reactor represents a shift from reactive price tracking to proactive energy analysis. By decomposing market activity into its atomic components — Volatility, Momentum, and Structure — and reconstructing them into a coherent decision model, the system aims to provide a quantitative framework for market engagement. It is designed not to predict the future, but to identify high-probability conditions where kinetic energy and trend structure align.
Disclaimer & Risk Warnings
◦ Educational Purpose Only
This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments.
◦ No Guarantee of Performance
Past performance is not indicative of future results. All metrics displayed on the dashboard (including "Win Rate" and "P&L") are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions.
◦ High-Risk Warning
Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades.
◦ Software Limitations
The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
Sniper 50: The Trend Master [Pure Signal]Overview Sometimes, the simplest strategies are the deadliest. This indicator brings the legendary "EMA 50 Strategy" to your chart in its purest form. It is designed to capture major market trends and reversals immediately as they happen, stripping away complex filters that often cause lag.
Why the EMA 50? The 50-period Exponential Moving Average is widely regarded by institutional traders as the primary divider between bullish and bearish territory. This tool automates the monitoring of this key level.
How It Works The logic is raw and direct:
BUY Signal: Triggered immediately when the candle closes ABOVE the EMA 50.
SELL Signal: Triggered immediately when the candle closes BELOW the EMA 50.
Key Features
Zero Noise Technology: Includes a built-in state machine that prevents repetitive signals. You will receive exactly ONE signal when the trend flips, and silence until the next reversal.
Dynamic Visuals: The EMA line changes color (Green for Bullish, Red for Bearish) to give you instant context.
Lag-Free: unlike other tools that wait for multiple confirmations, this tool prioritizes speed to catch sharp moves (like sudden crashes or rallies).
Best For
Trend Following
Swing Trading (Crypto & Stocks)
Catching rapid reversals that complex indicators might miss.
Smart MACD Crossover█ OVERVIEW
Smart MACD Crossover is an indicator designed for traders who trade based on MACD line crossovers. It significantly reduces the number of false crossover signals by adding a breakout-box confirmation mechanism. Price must close outside the box created at the moment of the MACD crossover for a signal to trigger. The script also includes optional scaled MACD lines on the price chart, candle coloring, multi-layer “fog” visualization, fully customizable entry signals, automatic Take Profit / Stop Loss levels and a real-time table.
█ CONCEPTS
Standard MACD crossovers frequently produce noise, especially in ranging markets. Smart MACD Crossover attempts to solve this issue: a horizontal box is drawn at the exact bar where the crossover occurs, and a trade signal is generated only when price actually breaks out of that box. By default, the show_only_matching filter is enabled — signals are shown only when the breakout direction matches the original MACD crossover direction (bullish box → long only, bearish box → short only).
█ FEATURES
Fully configurable classic MACD (default 12/26/9)
Optional MACD & Signal lines scaled and plotted directly on the price chart (show_macd_overlay)
Trend-based candle coloring
One-Side Histogram Fog:
- 6 layers above and 6 layers below hl2
- layer height based on average candle size × offset_mult (default 0.7)
- increasing transparency (base 80 + increment 4) for depth effect
- fully customizable colors
Breakout Boxes:
- created on every MACD crossover
- default height = high-low of the signal candle
- optional extension using average candle size × box_multiplier
- semi-transparent fill (85) with colored borders, extended right until breakout
Signals:
- Triangles or “BUY” / “SELL” labels
- show_only_matching filter (enabled by default) — only direction-consistent breakouts generate signals
- when disabled, every box breakout generates a signal according to breakout direction
- Built-in alerts: BUY and SELL
Take Profit / Stop Loss:
- TP1, TP2, TP3 and SL levels drawn automatically after each confirmed signal
- two modes: Candle Multiplier (based on average candle size) or Percentage
- all multipliers/percentages fully adjustable in “Risk Management Settings”
- real-time table in the top-right corner showing current TP/SL prices
█ HOW TO USE
Add via Pine Editor → paste code → Add to Chart.
Settings overview:
- MACD Settings: lengths and source
- Risk Management Settings: TP/SL mode, multipliers/percentages, average candle period
- MACD Overlay Lines: toggle scaled MACD lines on price chart
- Fog: enable/disable, adjust height and transparency
- Visual Settings: candle coloring
- Boxes: optional size multiplier (use_box_multiplier)
- Signals: choose Triangles or Labels, enable/disable direction filter
Signal meaning:
- Triangle below bar / “BUY” label → upward breakout from a box created after bullish MACD crossover
- Triangle above bar / “SELL” label → downward breakout from a box created after bearish MACD crossover
- Open boxes = pending breakout zones
- Fog below price = bullish pressure, fog above price = bearish pressure
█ APPLICATIONS
The indicator reduces false signals coming from plain MACD crossovers. For additional trend confirmation, the scaled MACD lines can be enabled.
Entry into a position is triggered by the BUY/SELL signal generated after the breakout. The TP1–TP3 and SL levels are drawn automatically only for convenience and as a quick reference – they are fully optional and traders can (and usually should) use their own preferred exit strategies, trailing stops, partial closes, or other money-management methods.
█ NOTES
- Due to MACD line scaling onto the price chart, classic MACD divergences cannot be identified
6-9 session & levels6-9 Session & Levels - Customizable Range Analysis Indicator
Description:
This indicator provides comprehensive session-based range analysis designed for intraday traders. It calculates and displays key levels based on a customizable session period (default 6:00-9:00 AM ET).
Core Features:
Session Tracking
Monitors user-defined session times with timezone support
Displays session open, high, and low levels
Highlights session range with optional box visualization
Shows previous day RTH (Regular Trading Hours: 9:30 AM - 4:00 PM) levels
Range Levels
25%, 50%, and 75% range levels within the session
Range deviations at 0.5x, 1.0x, and 2.0x multiples
Fibonacci extension levels (customizable, default 1.33x and 1.66x)
Optional fill zones between Fibonacci levels
Time Zone Highlighting
Marks the 9:40-9:50 AM period as a potential reversal zone
Vertical lines with shading to identify key time windows
Statistical Analysis
Calculates mean and median extension levels based on historical sessions
Displays statistics table showing current range, average range, range difference, and z-score
Customizable sample size (1-100 sessions) for statistical calculations
Option to anchor extensions from either session open or high/low points
Input Settings Explained:
Session Settings
Levels Session Time: Define your session window in HHMM-HHMM format (default: 0600-0900)
Time Zone: Choose from UTC, America/New_York, America/Chicago, America/Los_Angeles, Europe/London, or Asia/Tokyo
Anchor Settings
Show Session Anchor: Toggle the session anchor line (marks session open price at 6:00 AM)
Anchor Style/Color/Width: Customize appearance (Solid/Dashed/Dotted, color, 1-4 width)
Show Anchor Label: Display price label for the anchor
Session Open Line: Similar options for the session open reference line
Range Box Settings
Show Range Box: Display a shaded rectangle highlighting the session high-to-low range
Range Box Color: Set the box background color and transparency
Range Levels (25%/50%/75%)
Show Range Levels: Toggle all three intermediate levels on/off
Individual Level Styling: Each level (25%, 50%, 75%) has its own color, style, and width settings
Show Range Level Labels: Display price labels for each level
Range Deviations
Show Range Deviations: Toggle deviation levels on/off
0.5x/1.0x/2.0x Settings: Each deviation multiplier can be customized with its own color, line style (Solid/Dashed/Dotted), and width
Show Range Deviation Labels: Display labels showing the deviation price levels
Previous Day RTH Levels
Show Previous RTH Levels: Display yesterday's regular trading hours high and low
RTH High/Low Styling: Separate color, style, and width settings for each level
Show Previous RTH Labels: Toggle price labels for RTH levels
Time Zones
Show 9:40-9:50 AM Zone: Highlight this specific time period with vertical lines and shading
Zone Color: Set the background fill color for the time zone
Zone Label Color/Text: Customize the label appearance and text
Fibonacci Extension Settings
Show Fibonacci Extensions: Toggle Fib levels on/off
Fib Extension Color/Style/Width: Customize line appearance
Show Fib Extension Labels: Display price labels
Fib Ext Level 1/2: Set custom multipliers (default 1.33 and 1.66, range 0-5 in 0.1 increments)
Show Fibonacci Fills: Display shaded zones between Fib levels
Fib Fill Color: Customize the fill color and transparency
Session High/Low Settings
Show Session High/Low Lines: Display the actual session extremes
Style/Color/Width: Customize line appearance
Show Labels: Toggle price labels for high/low levels
Extension Stats Settings
Show Statistical Levels on Chart: Display mean and median extension levels based on historical data
Extension Anchor Point: Choose whether to anchor from "Open" or "High/Low" of the session
Number of Sessions for Statistics: Set sample size (1-100, default 60) for calculating averages
Mean/Median High Extension: Separate styling for each statistical level (color, style, width)
Mean/Median Low Extension: Separate styling for downside statistical levels
Tables
Show Statistics Table: Display a summary table with current range, average range, difference, z-score, and sample size
Table Position: Choose from 9 positions (Bottom/Middle/Top + Center/Left/Right)
Table Text Size: Select from Auto, Tiny, Small, Normal, Large, or Huge
Display Settings
Projection Offset: Number of bars to extend lines forward (default 24)
Label Size: Choose from Tiny, Small, Normal, or Large
Price Decimal Precision: Set decimal places for price labels (0-6)
How It Works:
The indicator tracks the specified session period and calculates the session's open, high, low, and range. At the end of the session (9:00 AM by default), it projects all configured levels forward for the trading day. The statistical features analyze the last N sessions (you choose the number) to calculate typical extension behavior from either the session open or the session high/low points.
The z-score calculation helps identify whether the current session's range is normal, expanded, or contracted compared to recent history, allowing traders to adjust expectations for the rest of the day.
Use Case:
This indicator helps traders identify key support and resistance levels based on early session price action, understand current range context relative to historical averages, and spot potential reversal zones during specific time periods.
Note: This indicator is for informational purposes only and does not constitute investment advice. Always perform your own analysis before making trading decisions.
OFM Key LevelsDaily and Weekly Levels Only
Daily Levels Calculated from RTH Sessions
Weekly Levels Calculated ETH
HMA 34 Dual-Fractal Projections - VdubusVdubus MacD Divergence Trend Break Signal Generator :Here:-
HMA 18 Dual-Fractal Projections
Overview
The HMA 18 Dual-Fractal Projections is a technical analysis tool designed to identify market structure and potential breakout patterns by analyzing the pivots of a Hull Moving Average (HMA).
Unlike standard trendline indicators that struggle to balance "big picture" trends with immediate price action, this indicator utilizes a Dual-Fractal approach. It simultaneously calculates two separate timelines—Macro and Micro—to visualize both the dominant channel and the developing chart patterns (such as wedges or triangles) in real-time.
Visual Guide
The indicator plots three key elements on the main chart:
The HMA Line (Blue): A smooth, fast-acting moving average (default length 34) that serves as the baseline for all calculations.
Macro Structure (Solid, Thick Lines):
Red (Solid): Major Resistance.
Green (Solid): Major Support.
Purpose: Identifies the long-term trend channel. These lines react slowly and filter out noise.
Micro Structure (Dashed, Thin Lines):
Red (Dashed): Immediate Resistance.
Green (Dashed): Immediate Support.
Purpose: Identifies the short-term market structure. These lines react quickly to show forming wedges, triangles, or flags.
How It Works
The indicator applies a "Pivot High/Low" algorithm directly to the HMA data rather than raw price data. This filters out candle wicks and volatility, ensuring lines are drawn based on established momentum shifts.
Layer 1 (Macro): Uses a large "Lookback" period (default 44 bars) to find significant peaks and valleys. It connects the most recent major pivot to the previous one, projecting a line forward to show where the major trend channel lies.
Layer 2 (Micro): Uses a small "Lookback" period (default 10 bars) to find local peaks and valleys. This allows you to see how price is behaving within the larger channel.
Settings & Configuration
HMA Settings
HMA Length: The length of the Hull Moving Average.
Default: 34 (Matches the "visually pleasing" setting from recent testing).
Note: Set to 18 for a faster, more reactive baseline (scalping).
Layer 1: Macro (Big Channel)
Macro Lookback: Determines how many bars must pass before a peak is confirmed.
Default: 44. High values find broad, established channels.
Max Macro Lines: How many historical lines to keep on the chart.
Default: 1 (Keeps the chart clean, showing only the current structure).
Extend Macro Lines: Projects the lines infinitely to the right to predict future support/resistance zones.
Layer 2: Micro (Current Pattern)
Micro Lookback: A lower sensitivity setting to catch immediate structure.
Default: 10. Low values will pinpoint the exact boundaries of small wedges or flags forming right now.
Trading Strategy & Interpretation
1. The "Squeeze" (Wedge Identification) This is the primary use case.
Look for scenarios where the Macro Lines (Solid) are wide/parallel, but the Micro Lines (Dashed) are rapidly converging (pointing towards each other).
This indicates that while the main trend is intact, momentum is compressing. A breakout is imminent where the dashed lines intersect.
2. Trend Channels
When both Solid and Dashed lines are roughly parallel and sloping in the same direction, the trend is healthy and strong. Price is respecting both the short-term and long-term momentum.
3. Divergence / Early Reversal Warning
If the Macro Line is sloping UP, but the Micro Line starts sloping DOWN (crossing inside), it indicates a loss of momentum and a potential reversal before the price actually breaks the major trendline.
===========================================================================
2. Micro/Macro Cross Alert
A new input, Enable Micro/Macro Cross Alert, has been added under the "Alerts & Features" section.
This alert condition is triggered when the momentum of the Micro Structure exceeds the momentum of the Macro Structure, which is a high-probability signal for a breakout:
Bullish Alert: The Micro High (dashed red line) crosses above the Macro High (solid red line).
Bearish Alert: The Micro Low (dashed green line) crosses below the Macro Low (solid green line).
To set up the actual alert on your chart:
Right-click on the chart.
Select "Add alert on HMA 34 Dual-Fractal Projections".
In the Condition dropdown, select the indicator's name.
For the main alert criteria, choose "Any alert()".
Select your preferred alert actions (e.g., notification, email).
SR & POI Indicator//@version=5
indicator(title='SR & POI Indicator', overlay=true, max_boxes_count=500, max_lines_count=500, max_labels_count=500)
//============================================================================
// SUPPLY/DEMAND & POI SETTINGS
//============================================================================
swing_length = input.int(10, title = 'Swing High/Low Length', group = 'Supply/Demand Settings', minval = 1, maxval = 50)
history_of_demand_to_keep = input.int(20, title = 'History To Keep', group = 'Supply/Demand Settings', minval = 5, maxval = 50)
box_width = input.float(2.5, title = 'Supply/Demand Box Width', group = 'Supply/Demand Settings', minval = 1, maxval = 10, step = 0.5)
show_price_action_labels = input.bool(false, title = 'Show Price Action Labels', group = 'Supply/Demand Visual Settings')
supply_color = input.color(color.new(#EDEDED,70), title = 'Supply', group = 'Supply/Demand Visual Settings', inline = '3')
supply_outline_color = input.color(color.new(color.white,75), title = 'Outline', group = 'Supply/Demand Visual Settings', inline = '3')
demand_color = input.color(color.new(#00FFFF,70), title = 'Demand', group = 'Supply/Demand Visual Settings', inline = '4')
demand_outline_color = input.color(color.new(color.white,75), title = 'Outline', group = 'Supply/Demand Visual Settings', inline = '4')
bos_label_color = input.color(color.white, title = 'BOS Label', group = 'Supply/Demand Visual Settings')
poi_label_color = input.color(color.white, title = 'POI Label', group = 'Supply/Demand Visual Settings')
swing_type_color = input.color(color.black, title = 'Price Action Label', group = 'Supply/Demand Visual Settings')
//============================================================================
// SR SETTINGS
//============================================================================
enableSR = input(true, "SR On/Off", group="SR Settings")
colorSup = input(#00DBFF, "Support Color", group="SR Settings")
colorRes = input(#E91E63, "Resistance Color", group="SR Settings")
strengthSR = input.int(2, "S/R Strength", 1, group="SR Settings")
lineStyle = input.string("Dotted", "Line Style", , group="SR Settings")
lineWidth = input.int(2, "S/R Line Width", 1, group="SR Settings")
useZones = input(true, "Zones On/Off", group="SR Settings")
useHLZones = input(true, "High Low Zones On/Off", group="SR Settings")
zoneWidth = input.int(2, "Zone Width %", 0, tooltip="it's calculated using % of the distance between highest/lowest in last 300 bars", group="SR Settings")
expandSR = input(true, "Expand SR", group="SR Settings")
//============================================================================
// SUPPLY/DEMAND FUNCTIONS
//============================================================================
// Function to add new and remove last in array
f_array_add_pop(array, new_value_to_add) =>
array.unshift(array, new_value_to_add)
array.pop(array)
// Function for swing H & L labels
f_sh_sl_labels(array, swing_type) =>
var string label_text = na
if swing_type == 1
if array.get(array, 0) >= array.get(array, 1)
label_text := 'HH'
else
label_text := 'LH'
label.new(bar_index - swing_length, array.get(array,0), text = label_text, style=label.style_label_down, textcolor = swing_type_color, color = color.new(swing_type_color, 100), size = size.tiny)
else if swing_type == -1
if array.get(array, 0) >= array.get(array, 1)
label_text := 'HL'
else
label_text := 'LL'
label.new(bar_index - swing_length, array.get(array,0), text = label_text, style=label.style_label_up, textcolor = swing_type_color, color = color.new(swing_type_color, 100), size = size.tiny)
// Function to check overlapping
f_check_overlapping(new_poi, box_array, atr) =>
atr_threshold = atr * 2
okay_to_draw = true
for i = 0 to array.size(box_array) - 1
top = box.get_top(array.get(box_array, i))
bottom = box.get_bottom(array.get(box_array, i))
poi = (top + bottom) / 2
upper_boundary = poi + atr_threshold
lower_boundary = poi - atr_threshold
if new_poi >= lower_boundary and new_poi <= upper_boundary
okay_to_draw := false
break
else
okay_to_draw := true
okay_to_draw
// Function to draw supply or demand zone
f_supply_demand(value_array, bn_array, box_array, label_array, box_type, atr) =>
atr_buffer = atr * (box_width / 10)
box_left = array.get(bn_array, 0)
box_right = bar_index
var float box_top = 0.00
var float box_bottom = 0.00
var float poi = 0.00
if box_type == 1
box_top := array.get(value_array, 0)
box_bottom := box_top - atr_buffer
poi := (box_top + box_bottom) / 2
else if box_type == -1
box_bottom := array.get(value_array, 0)
box_top := box_bottom + atr_buffer
poi := (box_top + box_bottom) / 2
okay_to_draw = f_check_overlapping(poi, box_array, atr)
if box_type == 1 and okay_to_draw
box.delete( array.get(box_array, array.size(box_array) - 1) )
f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = supply_outline_color,
bgcolor = supply_color, extend = extend.right, text = 'SUPPLY', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index))
box.delete( array.get(label_array, array.size(label_array) - 1) )
f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = color.new(poi_label_color,90),
bgcolor = color.new(poi_label_color,90), extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index))
else if box_type == -1 and okay_to_draw
box.delete( array.get(box_array, array.size(box_array) - 1) )
f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = demand_outline_color,
bgcolor = demand_color, extend = extend.right, text = 'DEMAND', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index))
box.delete( array.get(label_array, array.size(label_array) - 1) )
f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = color.new(poi_label_color,90),
bgcolor = color.new(poi_label_color,90), extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index))
// Function to change supply/demand to BOS if broken
f_sd_to_bos(box_array, bos_array, label_array, zone_type) =>
if zone_type == 1
for i = 0 to array.size(box_array) - 1
level_to_break = box.get_top(array.get(box_array,i))
if close >= level_to_break
copied_box = box.copy(array.get(box_array,i))
f_array_add_pop(bos_array, copied_box)
mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2
box.set_top(array.get(bos_array,0), mid)
box.set_bottom(array.get(bos_array,0), mid)
box.set_extend( array.get(bos_array,0), extend.none)
box.set_right( array.get(bos_array,0), bar_index)
box.set_text( array.get(bos_array,0), 'BOS' )
box.set_text_color( array.get(bos_array,0), bos_label_color)
box.set_text_size( array.get(bos_array,0), size.small)
box.set_text_halign( array.get(bos_array,0), text.align_center)
box.set_text_valign( array.get(bos_array,0), text.align_center)
box.delete(array.get(box_array, i))
box.delete(array.get(label_array, i))
if zone_type == -1
for i = 0 to array.size(box_array) - 1
level_to_break = box.get_bottom(array.get(box_array,i))
if close <= level_to_break
copied_box = box.copy(array.get(box_array,i))
f_array_add_pop(bos_array, copied_box)
mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2
box.set_top(array.get(bos_array,0), mid)
box.set_bottom(array.get(bos_array,0), mid)
box.set_extend( array.get(bos_array,0), extend.none)
box.set_right( array.get(bos_array,0), bar_index)
box.set_text( array.get(bos_array,0), 'BOS' )
box.set_text_color( array.get(bos_array,0), bos_label_color)
box.set_text_size( array.get(bos_array,0), size.small)
box.set_text_halign( array.get(bos_array,0), text.align_center)
box.set_text_valign( array.get(bos_array,0), text.align_center)
box.delete(array.get(box_array, i))
box.delete(array.get(label_array, i))
// Function to extend box endpoint
f_extend_box_endpoint(box_array) =>
for i = 0 to array.size(box_array) - 1
box.set_right(array.get(box_array, i), bar_index + 100)
//============================================================================
// SR FUNCTIONS
//============================================================================
percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100
//============================================================================
// SUPPLY/DEMAND CALCULATIONS
//============================================================================
atr = ta.atr(50)
swing_high = ta.pivothigh(high, swing_length, swing_length)
swing_low = ta.pivotlow(low, swing_length, swing_length)
var swing_high_values = array.new_float(5,0.00)
var swing_low_values = array.new_float(5,0.00)
var swing_high_bns = array.new_int(5,0)
var swing_low_bns = array.new_int(5,0)
var current_supply_box = array.new_box(history_of_demand_to_keep, na)
var current_demand_box = array.new_box(history_of_demand_to_keep, na)
var current_supply_poi = array.new_box(history_of_demand_to_keep, na)
var current_demand_poi = array.new_box(history_of_demand_to_keep, na)
var supply_bos = array.new_box(5, na)
var demand_bos = array.new_box(5, na)
// New swing high
if not na(swing_high)
f_array_add_pop(swing_high_values, swing_high)
f_array_add_pop(swing_high_bns, bar_index )
if show_price_action_labels
f_sh_sl_labels(swing_high_values, 1)
f_supply_demand(swing_high_values, swing_high_bns, current_supply_box, current_supply_poi, 1, atr)
// New swing low
else if not na(swing_low)
f_array_add_pop(swing_low_values, swing_low)
f_array_add_pop(swing_low_bns, bar_index )
if show_price_action_labels
f_sh_sl_labels(swing_low_values, -1)
f_supply_demand(swing_low_values, swing_low_bns, current_demand_box, current_demand_poi, -1, atr)
f_sd_to_bos(current_supply_box, supply_bos, current_supply_poi, 1)
f_sd_to_bos(current_demand_box, demand_bos, current_demand_poi, -1)
f_extend_box_endpoint(current_supply_box)
f_extend_box_endpoint(current_demand_box)
//============================================================================
// SR CALCULATIONS & PLOTTING
//============================================================================
rb = 10
prd = 284
ChannelW = 10
label_loc = 55
style = lineStyle == "Solid" ? line.style_solid : lineStyle == "Dotted" ? line.style_dotted : line.style_dashed
ph = ta.pivothigh(rb, rb)
pl = ta.pivotlow (rb, rb)
sr_levels = array.new_float(21, na)
prdhighest = ta.highest(prd)
prdlowest = ta.lowest(prd)
cwidth = percWidth(prd, ChannelW)
zonePerc = percWidth(300, zoneWidth)
aas = array.new_bool(41, true)
u1 = 0.0, u1 := nz(u1 )
d1 = 0.0, d1 := nz(d1 )
highestph = 0.0, highestph := highestph
lowestpl = 0.0, lowestpl := lowestpl
var sr_levs = array.new_float(21, na)
label hlabel = na, label.delete(hlabel )
label llabel = na, label.delete(llabel )
var sr_lines = array.new_line(21, na)
var sr_linesH = array.new_line(21, na)
var sr_linesL = array.new_line(21, na)
var sr_linesF = array.new_linefill(21, na)
var sr_labels = array.new_label(21, na)
if ph or pl
for x = 0 to array.size(sr_levels) - 1
array.set(sr_levels, x, na)
highestph := prdlowest
lowestpl := prdhighest
countpp = 0
for x = 0 to prd
if na(close )
break
if not na(ph ) or not na(pl )
highestph := math.max(highestph, nz(ph , prdlowest), nz(pl , prdlowest))
lowestpl := math.min(lowestpl, nz(ph , prdhighest), nz(pl , prdhighest))
countpp += 1
if countpp > 40
break
if array.get(aas, countpp)
upl = (ph ? high : low ) + cwidth
dnl = (ph ? high : low ) - cwidth
u1 := countpp == 1 ? upl : u1
d1 := countpp == 1 ? dnl : d1
tmp = array.new_bool(41, true)
cnt = 0
tpoint = 0
for xx = 0 to prd
if na(close )
break
if not na(ph ) or not na(pl )
chg = false
cnt += 1
if cnt > 40
break
if array.get(aas, cnt)
if not na(ph )
if high <= upl and high >= dnl
tpoint += 1
chg := true
if not na(pl )
if low <= upl and low >= dnl
tpoint += 1
chg := true
if chg and cnt < 41
array.set(tmp, cnt, false)
if tpoint >= strengthSR
for g = 0 to 40 by 1
if not array.get(tmp, g)
array.set(aas, g, false)
if ph and countpp < 21
array.set(sr_levels, countpp, high )
if pl and countpp < 21
array.set(sr_levels, countpp, low )
// Plot SR
var line highest_ = na, line.delete(highest_)
var line lowest_ = na, line.delete(lowest_)
var line highest_fill1 = na, line.delete(highest_fill1)
var line highest_fill2 = na, line.delete(highest_fill2)
var line lowest_fill1 = na, line.delete(lowest_fill1)
var line lowest_fill2 = na, line.delete(lowest_fill2)
hi_col = close >= highestph ? colorSup : colorRes
lo_col = close >= lowestpl ? colorSup : colorRes
if enableSR
highest_ := line.new(bar_index - 311, highestph, bar_index, highestph, xloc.bar_index, expandSR ? extend.both : extend.right, hi_col, style, lineWidth)
lowest_ := line.new(bar_index - 311, lowestpl , bar_index, lowestpl , xloc.bar_index, expandSR ? extend.both : extend.right, lo_col, style, lineWidth)
if useHLZones
highest_fill1 := line.new(bar_index - 311, highestph + zonePerc, bar_index, highestph + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)
highest_fill2 := line.new(bar_index - 311, highestph - zonePerc, bar_index, highestph - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)
lowest_fill1 := line.new(bar_index - 311, lowestpl + zonePerc , bar_index, lowestpl + zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na)
lowest_fill2 := line.new(bar_index - 311, lowestpl - zonePerc , bar_index, lowestpl - zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na)
linefill.new(highest_fill1, highest_fill2, color.new(hi_col, 80))
linefill.new(lowest_fill1 , lowest_fill2 , color.new(lo_col, 80))
if ph or pl
for x = 0 to array.size(sr_lines) - 1
array.set(sr_levs, x, array.get(sr_levels, x))
for x = 0 to array.size(sr_lines) - 1
line.delete(array.get(sr_lines, x))
line.delete(array.get(sr_linesH, x))
line.delete(array.get(sr_linesL, x))
linefill.delete(array.get(sr_linesF, x))
if array.get(sr_levs, x) and enableSR
line_col = close >= array.get(sr_levs, x) ? colorSup : colorRes
array.set(sr_lines, x, line.new(bar_index - 355, array.get(sr_levs, x), bar_index, array.get(sr_levs, x), xloc.bar_index, expandSR ? extend.both : extend.right, line_col, style, lineWidth))
if useZones
array.set(sr_linesH, x, line.new(bar_index - 355, array.get(sr_levs, x) + zonePerc, bar_index, array.get(sr_levs, x) + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na))
array.set(sr_linesL, x, line.new(bar_index - 355, array.get(sr_levs, x) - zonePerc, bar_index, array.get(sr_levs, x) - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na))
array.set(sr_linesF, x, linefill.new(array.get(sr_linesH, x), array.get(sr_linesL, x), color.new(line_col, 80)))
for x = 0 to array.size(sr_labels) - 1
label.delete(array.get(sr_labels, x))
if array.get(sr_levs, x) and enableSR
lab_loc = close >= array.get(sr_levs, x) ? label.style_label_up : label.style_label_down
lab_col = close >= array.get(sr_levs, x) ? colorSup : colorRes
array.set(sr_labels, x, label.new(bar_index + label_loc, array.get(sr_levs, x), str.tostring(math.round_to_mintick(array.get(sr_levs, x))), color=lab_col , textcolor=#000000, style=lab_loc))
hlabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, highestph, "High Level : " + str.tostring(highestph), color=hi_col, textcolor=#000000, style=label.style_label_down) : na
llabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, lowestpl , "Low Level : " + str.tostring(lowestpl) , color=lo_col, textcolor=#000000, style=label.style_label_up ) : na
Unchased Wick Detector and ReversalsThis indicator can be used to track unchased wick from previous pivot points.
The idea is to visualise liquidity cluster and grab before a potential reversal.
Unchased wick Visual:
- White lines are protected highs or lows.
- Gray lines are previous wicks where prices have passed through and where the prices did not reverse.
Reversal window:
Reversal window parameters define a period range (a min and a max bars) where the reversal is valid.
The idea is that the reversal must be done in the couple bars right after the wick is chased (this event should stay short in time but you can adjust the period as you wish).
By default the default, the window 1-5 bars (e.g., daily, during 1-5 days).
Green color indicates a grab from a low and a reversal to the upside.
Red color indicates a grab from a high and a reversal to the downside.
Disclamer:
Of course this indicator can lead to false reversal signals and must be combined with other data and must be careful to use it alone for opening any position.
This indicator is a Alpha version let me know if any problem.
🚦 Divergence Indicator for The Saty PO by TenAMTraderTenAM’s Traffic Light Divergence Indicator for The Saty Phase Oscillator
Overview:
This tool is designed to automatically detect regular and hidden divergences on price using data sourced from The Saty Phase Oscillator. Divergences are displayed directly on the chart using a simple traffic-light visual system:
🟢 Bullish Divergence
🔴 Bearish Divergence
🟡 Hidden Divergence
These markers highlight potential points of interest—not trade signals—based on the momentum behavior of the underlying oscillator relative to price.
How to Use:
Add The Saty Phase Oscillator to your chart.
Then load “TenAM’s Traffic Light Divergence Indicator for The Saty Phase Oscillator.”
IMPORTANT, In the indicator settings → Indicator Source, make sure you select:
Saty Phase Oscillator → Phase Oscillator
Set the indicator to plot on price (Settings → Style → "Overlay/Price").
Adjust detection preferences:
Enable Regular, Hidden, or both divergence types.
Configure Left and Right Pivot Lookbacks.
Recommended starting point: Right = 3, Left = 1.
Optimal values vary by timeframe and market—backtesting is encouraged.
Modify the Max Lookback Range (default: 60) and Min Lookback Range (default: 0) to refine how far back divergence scanning occurs.
Interpretation:
These are not buy or sell signals. They simply highlight areas where momentum and price behavior diverge, helping you evaluate potential entry opportunities or exhaustion zones.
Legal Disclaimer:
This indicator is for informational and educational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security. Trading involves significant risk, and past performance does not guarantee future results. Users are fully responsible for their own trading decisions and outcomes. The creator of this script assumes no liability for any losses or damages arising from its use.
TMT ICT SMC - Hitesh NimjeTMT ICT SMC - Smart Money Concepts
Overview
T
he TMT ICT SMC indicator is a comprehensive, all-in-one toolkit designed for traders utilizing Smart Money Concepts (SMC) and Inner Circle Trader (ICT) methodologies. Developed by Hitesh Nimje (Thought Magic Trading), this script automates the complex task of market structure mapping, order block identification, and liquidity analysis, providing a clear, institutional-grade view of price action.
Whether you are a scalper looking for internal structure shifts or a swing trader analyzing major trend reversals, this tool adapts to your timeframe with precision.
Key Features
1. Market Structure Mapping (Internal & Swing)
* Real-Time Structure: Automatically detects and labels BOS (Break of Structure) and CHoCH (Change of Character).
* Dual-Layer Analysis:
I nternal Structure: Captures short-term momentum and minor shifts for entry refinement.
Swing Structure: Identifies the overarching trend and major pivot points.
* Strong vs. Weak Highs/Lows: visualizes significant swing points to help you identify safe invalidation levels.
* Trend Coloring: Optional feature to color candles based on the active market structure trend.
2. Advanced Order Blocks (OB)
* Auto-Detection: Plots both Internal and Swing Order Blocks automatically.
* Smart Filtering: Includes an ATR or Cumulative Mean Range filter to remove noise and only display significant institutional footprint zones.
* Mitigation Tracking: Choose how order blocks are mitigated (Close vs. High/Low) to keep your chart clean.
3. Liquidity & Gaps
* Fair Value Gaps (FVG): Automatically highlights bullish and bearish imbalances. Includes MTF (Multi-Timeframe) capabilities to see higher timeframe gaps on lower timeframe charts.
* Equal Highs/Lows (EQH/EQL): Marks potential liquidity pools where price often reverses or targets.
4. Multi-Timeframe Levels
* Plots Daily, Weekly, and Monthly High/Low levels directly on your chart to help identify macro support and resistance without switching timeframes.
5. Premium & Discount Zones
* Automatically plots the Fibonacci range of the current price leg to show Premium (expensive), Discount (cheap), and Equilibrium zones, aiding in high-probability entry placement.
Customization
* Style: Switch between a "Colored" vibrant theme or a "Monochrome" minimal theme.
* Control: Every feature can be toggled on/off. Adjust lookback periods, sensitivity thresholds, and colors to match your personal trading style.
* Modes: Choose between "Historical" (for backtesting) and "Present" (for optimized real-time performance).
How to Use
* Trend Confirmation: Use the Swing Structure labels to determine the higher timeframe bias.
* Entry Trigger: Wait for a CHoCH on the Internal Structure within a higher timeframe Order Block or FVG.
* Targeting: Use the Equal Highs/Lows (Liquidity) or opposing Order Blocks as take-profit zones.
Credits
* Author: Hitesh Nimje
* Source: Thought Magic Trading (TMT)
TRADING DISCLAIMER
RISK WARNING
Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. You should carefully consider whether trading is suitable for you in light of your circumstances, knowledge, and financial resources.
NO FINANCIAL ADVICE
This indicator is provided for educational and informational purposes only. It does not constitute:
* Financial advice or investment recommendations
* Buy/sell signals or trading signals
* Professional investment advice
* Legal, tax, or accounting guidance
LIMITATIONS AND DISCLAIMERS
Technical Analysis Limitations
* Pivot points are mathematical calculations based on historical price data
* No guarantee of accuracy of price levels or calculations
* Markets can and do behave irrationally for extended periods
* Past performance does not guarantee future results
* Technical analysis should be used in conjunction with fundamental analysis
Data and Calculation Disclaimers
* Calculations are based on available price data at the time of calculation
* Data quality and availability may affect accuracy
* Pivot levels may differ when calculated on different timeframes
* Gaps and irregular market conditions may cause level failures
* Extended hours trading may affect intraday pivot calculations
Market Risks
* Extreme market volatility can invalidate all technical levels
* News events, economic announcements, and market manipulation can cause gaps
* Liquidity issues may prevent execution at calculated levels
* Currency fluctuations, inflation, and interest rate changes affect all levels
* Black swan events and market crashes cannot be predicted by technical analysis
USER RESPONSIBILITIES
Due Diligence
* You are solely responsible for your trading decisions
* Conduct your own research before using this indicator
* Verify calculations with multiple sources before trading
* Consider multiple timeframes and confirm levels with other technical tools
* Never rely solely on one indicator for trading decisions
Risk Management
* Always use proper risk management and position sizing
* Set appropriate stop-losses for all positions
* Never risk more than you can afford to lose
* Consider the inherent risks of leverage and margin trading
* Diversify your portfolio and trading strategies
Professional Consultation
* Consult with qualified financial advisors before trading
* Consider your tax obligations and legal requirements
* Understand the regulations in your jurisdiction
* Seek professional advice for complex trading strategies
LIMITATION OF LIABILITY
Indemnification
The creator and distributor of this indicator shall not be liable for:
* Any trading losses, whether direct or indirect
* Inaccurate or delayed price data
* System failures or technical malfunctions
* Loss of data or profits
* Interruption of service or connectivity issues
No Warranty
This indicator is provided "as is" without warranties of any kind:
* No guarantee of accuracy or completeness
* No warranty of uninterrupted or error-free operation
* No warranty of merchantability or fitness for a particular purpose
* The software may contain bugs or errors
Maximum Liability
In no event shall the liability exceed the purchase price (if any) paid for this indicator. This limitation applies regardless of the theory of liability, whether contract, tort, negligence, or otherwise.
REGULATORY COMPLIANCE
Jurisdiction-Specific Risks
* Regulations vary by country and region
* Some jurisdictions prohibit or restrict certain trading strategies
* Tax implications differ based on your location and trading frequency
* Commodity futures and options trading may have additional requirements
* Currency trading may be regulated differently than stock trading
Professional Trading
* If you are a professional trader, ensure compliance with all applicable regulations
* Adhere to fiduciary duties and best execution requirements
* Maintain required records and reporting
* Follow market abuse regulations and insider trading laws
TECHNICAL SPECIFICATIONS
Data Sources
* Calculations based on TradingView data feeds
* Data accuracy depends on broker and exchange reporting
* Historical data may be subject to adjustments and corrections
* Real-time data may have delays depending on data providers
Software Limitations
* Internet connectivity required for proper operation
* Software updates may change calculations or functionality
* TradingView platform dependencies may affect performance
* Third-party integrations may introduce additional risks
MONEY MANAGEMENT RECOMMENDATIONS
Conservative Approach
* Risk only 1-2% of capital per trade
* Use position sizing based on volatility
* Maintain adequate cash reserves
* Avoid over-leveraging accounts
Portfolio Management
* Diversify across multiple strategies
* Don't put all capital into one approach
* Regularly review and adjust trading strategies
* Maintain detailed trading records
FINAL LEGAL NOTICES
Acceptance of Terms
* By using this indicator, you acknowledge that you have read and understood this disclaimer
* You agree to assume all risks associated with trading
* You confirm that you are legally permitted to trade in your jurisdiction
Updates and Changes
* This disclaimer may be updated without notice
* Continued use constitutes acceptance of any changes
* It is your responsibility to stay informed of updates
Governing Law
* This disclaimer shall be governed by the laws of the jurisdiction where the indicator was created
* Any disputes shall be resolved in the appropriate courts
* Severability clause: If any part of this disclaimer is invalid, the remainder remains enforceable
REMEMBER: THERE ARE NO GUARANTEES IN TRADING. THE MAJORITY OF RETAIL TRADERS LOSE MONEY. TRADE AT YOUR OWN RISK.
Contact Information:
* Creator: Hitesh_Nimje
* Phone: Contact@8087192915
* Source: Thought Magic Trading
© HiteshNimje - All Rights Reserved
This disclaimer should be prominently displayed whenever the indicator is shared, sold, or distributed to ensure users are fully aware of the risks and limitations involved in trading.
SMC Fib Range Signals [@gyanapravah]SMC Fib Range Signals
This indicator blends Smart Money Concepts (SMC) with a Range Filter Trend System and Fibonacci Retracement & Extensions to generate high-probability automated Buy/Sell signals.
Designed to avoid noise and focus on market structure + trend + price confluence, this tool is ideal for:
1. Intraday traders
2. Swing traders
3. Index & stock traders
4. Crypto & Forex traders
CORE FEATURES
Range Filter Trend Detection
Smooth adaptive filter identifies true trend direction
Visual confirmation:
🟢 Green filter = bullish pressure
🔴 Red filter = bearish pressure
🟡 Yellow filter = neutral
Upper & Lower Bands act as dynamic support/resistance zones
Smart Money Order Blocks (SMC)
Automatically detects important pivot highs & lows
Marks:
OB High → supply / resistance zone
OB Low → demand / support zone
Continuously tracks latest OB levels for live price interaction
Fibonacci Engine
Detects the current swing zone and plots:
Retracement levels
0.236 – 0.382 – 0.500 – 0.618 – 0.786 (editable)
Extension targets
1.272 – 1.618
All levels update dynamically on new market structure and pivots.
SIGNAL ENGINE
This indicator generates signals from three independent confirmation systems:
BUY SIGNALS trigger when:
1. Trend flips bullish (price crosses above the Filter)
2.Bullish trend + price reacts near:
Order Block support
Fibonacci 0.382 / 0.618 levels
Bounce from the Lower Band with trend support
All setups require volume confirmation to filter fake breakouts.
SELL SIGNALS trigger when:
1. Trend flips bearish (price crosses below the Filter)
2. Bearish trend + price reacts near:
Order Block resistance
Fibonacci 0.382 / 0.618 levels
Rejection from the Upper Band with trend support
ALERTS READY
Two built-in alerts:
BUY Alert — fires on bullish signal
SELL Alert — fires on bearish signal
INPUT SETTINGS
Trend Engine
1.Source
2.Sampling Period
3.Range Multiplier
Smart Money
Pivot detection sensitivity (Left / Right bars)
Fibonacci
1.Swing lookback length
2.Editable Fib retracement and extension values
3.Toggle show/hide Fib levels
BEST USE CASE
Works extremely well on:
⏱️ 3M – 15M Intraday scalping
⏱️ 30M – 1H positional entries
⏱️ 4H – D1 swing trading
Tested on:
NIFTY / BANKNIFTY / FINNIFTY
Stocks
Crypto
Forex
DISCLAIMER
This indicator is for educational purposes only.
It does NOT guarantee profits.
Always use:
Proper risk management
Stop-loss rules
Your own confirmation before entering trades.
AUTHOR
Built & shared by @gyanapravah (Odisha, India)
Open-source for learning and community improvement.
White Crow**White Crow — cluster reversal signals + market structure**
> Indicator that helps you read market structure (pivots, trend, last extremes) and spot potential reversals through CCI/RSI signal clusters. This is *not* a standalone trading system and does not guarantee any result — it is a tool for filtering and confirming your own market ideas.
---
## 1. Concept
White Crow combines three core blocks:
1. **Pivots & market structure**
Automatically detects **local tops/bottoms** and derives a *Bullish / Bearish / Sideways* bias from them.
In the top-right corner you see a compact panel with current trend and **Last Bottom / Last Top** prices.
2. **Momentum & overbought/oversold zones**
Inside, the indicator uses:
* **CCI** with fixed levels `+100 / -100`;
* an optional **RSI filter** with overbought/oversold levels (`80 / 20`).
These generate basic *Buy / Close* signals.
3. **Cluster signals Buy X / CloseV**
The script tracks **clusters of signals inside a 4-bar window** and highlights rarer, “amplified” events:
* **Buy X** — cluster buy signal (multiple buy conditions in a row);
* **CloseV** — cluster signal for exit/reversal.
**Buy X and CloseV are the strongest and most reliable signals in this indicator** because they are based on repeated conditions rather than a single bar. They work **best on higher timeframes (1H–4H)**, where they reflect meaningful shifts in order flow instead of noise.
> ⚠️ Important: Buy X and CloseV are *only signals*. They must be used as **one of several confirmation factors** for your own view of market structure (support/resistance, trend, price action, volume, etc.), not as standalone reasons to enter or exit trades.
---
## 2. How it works
### 2.1. Pivots and trend detection
* The indicator builds a **zigzag-like structure**:
after a local high, once price retraces down by a given percentage (`pivotSigma`), a **Top** is marked;
after a local low, once price retraces up by the same percentage, a **Bottom** is marked.
* Using the sequence of recent tops and bottoms, the script determines the trend:
* *Bullish* — the last low is higher than the previous one (HL);
* *Bearish* — the last high is lower than the previous one (LH);
* otherwise — *Sideways*.
* The info table shows:
* **Market Trend** — Bullish / Bearish / Sideways;
* **Last Bottom / Last Top** with adaptive decimal precision (works for crypto, FX, stocks, etc.).
### 2.2. Base Buy / Close signals
* **Long condition (Buy):**
* `CCI < -100` (oversold),
* if RSI filter is enabled — `RSI < 20`.
* **Short/Exit condition (Close):**
* `CCI > +100` (overbought),
* if RSI filter is enabled — `RSI > 80`.
These conditions generate the regular **Buy** and **Close** labels on the chart.
### 2.3. Clusters: Buy X and CloseV
To reduce noise, the indicator evaluates not only the current bar, but also the **last 4 bars**:
* `buy_count` — how many times the long condition was true within the last 4 bars;
* `sell_count` — how many times the short condition was true within the last 4 bars.
Then:
* **Buy X** appears when:
* `buy_count ≥ 2` (conditions for Buy were met on at least 2 of the last 4 bars),
* the time filter between two Buy X signals is satisfied (`Min Bars Between Signals`).
* **CloseV** appears when:
* `sell_count ≥ 2`,
* the required number of bars has passed since the previous CloseV.
> ✅ This is why **Buy X / CloseV are stronger and more trustworthy than single Buy/Close signals**, especially on **1H–4H** timeframes: the market confirms the same overbought/oversold condition several times in a row.
### 2.4. Order Blocks
* When `Show Order Blocks` is enabled, the indicator highlights **impulsive candles** whose body exceeds a threshold based on ATR.
* Colored rectangles mark **potential order blocks** (areas where strong buying or selling previously occurred).
## 3. Inputs and customization
Inputs are grouped in TradingView-friendly categories.
### 3.1. Pivot Settings
* `Show Pivots` — enable/disable **Top / Bottom** markers.
* `Sigma (% retracement)` — pivot sensitivity (minimum retracement in % required to confirm a pivot).
* Colors for Top/Bottom — for visual tuning.
**Tip:**
On H1–H4 you can keep near-default values.
On lower timeframes, reduce `Sigma` if you want more detailed local structure.
### 3.2. CCI / RSI Settings
* `CCI Period` — CCI length (short by default for faster reaction).
* `Enable RSI Filter` / `RSI Period` — toggle and length for RSI filter.
* RSI levels are fixed at **20 / 80** to mark strong oversold/overbought zones.
**Usage:**
* For more conservative entries — keep the RSI filter enabled.
* For more frequent signals (e.g. scalping) — you can disable the RSI filter.
### 3.3. Order Blocks
* `Show Order Blocks` — display order block zones.
* `Block Threshold (ATR multiplier)` — how large a candle must be (vs ATR) to be considered significant.
### 3.4. Signals & Filters
* `Show Buy / Show Buy X / Show Close / Show CloseV` — choose which labels you want to see.
* `Enable Time Filter` — enable minimum spacing between amplified signals.
* `Min Bars Between Signals` — how many bars must pass between two Buy X or two CloseV signals.
**Tip:**
If you see too many amplified signals, increase `Min Bars Between Signals`.
If you want more activity, decrease it.
### 3.5. Alerts
* `Buy Alerts / Buy X Alerts / Close Alerts / CloseV Alerts` — choose which signal types should trigger alerts.
* `One Alert Per Bar` — when enabled, alerts are triggered only once per bar (recommended for H1–H4).
Alerts are generated via `alert()`, with messages that include signal type, ticker, timeframe and current price.
---
## 4. How to trade with White Crow
### 4.1. Recommended timeframes
* 📌 **Main focus: 1H–4H.**
On these timeframes:
* pivots and trend are more stable;
* CCI/RSI reflect meaningful swings;
* **Buy X / CloseV clusters** filter out a lot of intrabar noise.
You can still experiment on M1–M15, but expect more signals and more sensitivity to noise.
### 4.2. Reading the signals step by step
1. **Start with context**
* Look at **Market Trend / Last Bottom / Last Top** in the info panel.
* See where price is relative to these points: near resistance, near support, inside a range, etc.
2. **Identify zones of interest**
* Use pivots and order blocks as potential support/resistance areas.
* Wait for price to approach these zones.
3. **Watch the signals**
* **Buy** — early sign of local oversold conditions.
* **Buy X** — amplified cluster signal; more weight than a single Buy.
* **Close** — early warning of potential exhaustion in the current move.
* **CloseV** — amplified cluster exit/reversal signal.
4. **Practical approach**
* In a *Bullish* trend:
* focus on **Buy / Buy X** near bottoms and demand blocks;
* use **Close / CloseV** for partial profit-taking or tightening stops.
* In a *Bearish* trend:
* focus on **Close / CloseV** near tops and supply blocks;
* use **Buy / Buy X** mainly for countertrend scalps with strict risk control.
---
## 5. Important notes and disclaimer
1. **Buy X / CloseV are stronger — but not “magic” signals.**
They are statistically more meaningful than single Buy/Close signals because:
* they require multiple confirmations within a cluster;
* they are time-filtered.
However, **false signals are still possible**, especially in news spikes and low-liquidity conditions.
2. **Best performance on higher timeframes (1H–4H).**
Here, Buy X and CloseV usually reflect genuine shifts in supply/demand rather than micro noise.
3. **This is a confirmation tool, not a complete system.**
Pro Trading White Crow:
* does not manage risk;
* does not define position size or stop-loss;
* does not replace your own analysis.
Always use its signals as **one of several confluence factors** together with structure, trend, price action, volume, and your trading plan.
4. **Educational purpose only.**
This script and description are for educational and analytical purposes only.
They **do not constitute investment advice or a guarantee of profit**.
You are fully responsible for all trading decisions and risk management.
---
---
## White Crow — кластерные сигналы разворота + структура рынка
> Индикатор помогает читать рыночную структуру (пивоты, тренд, последние экстремумы) и находить потенциальные развороты через кластеры сигналов CCI/RSI. Это *не* готовая торговая система и *не* гарантия результата — а инструмент для фильтрации и подтверждения ваших собственных идей по рынку.
---
## 1. Концепция
White Crow объединяет три ключевых блока:
1. **Пивоты и структура рынка**
Автоматически находит **локальные вершины и впадины** и на их основе формирует трендовое смещение: *Bullish / Bearish / Sideways*.
В правом верхнем углу — компактная панель с текущим трендом и ценами **Last Bottom / Last Top**.
2. **Моментум и зоны перегрева**
Внутри используются:
* **CCI** с фиксированными уровнями `+100 / -100`;
* опциональный **фильтр RSI** с уровнями перепроданности/перекупленности (`20 / 80`).
По ним строятся базовые сигналы *Buy / Close*.
3. **Кластерные сигналы Buy X / CloseV**
Скрипт отслеживает **кластеры сигналов внутри окна в 4 бара** и выделяет более редкие, «усиленные» события:
* **Buy X** — кластерный сигнал покупки (несколько buy-условий подряд);
* **CloseV** — кластерный сигнал выхода/разворота.
Именно **Buy X и CloseV являются наиболее сильными и достоверными сигналами индикатора**, так как возникают при повторяющемся выполнении условий, а не на одном баре. Лучше всего они работают **на старших таймфреймах (1–4 часа)**, где отражают реальное смещение баланса спроса/предложения, а не рыночный шум.
> ⚠️ Важно: Buy X и CloseV — *это всего лишь сигналы*. Они должны использоваться **как один из факторов подтверждения** вашего видения структуры рынка (уровни, тренд, price action, объём и т.д.), а не как единственная причина для входа или выхода.
---
## 2. Как это работает
### 2.1. Пивоты и определение тренда
* Индикатор строит **структуру в стиле зигзага**:
после локального максимума, когда цена откатывает вниз на заданный процент (`pivotSigma`), отмечается **Top**;
после локального минимума, когда цена откатывает вверх на тот же процент, отмечается **Bottom**.
* По последовательности последних вершин и впадин определяется тренд:
* *Bullish* — последний минимум выше предыдущего (HL);
* *Bearish* — последний максимум ниже предыдущего (LH);
* иначе — *Sideways*.
* В информационной таблице отображаются:
* **Market Trend** — Bullish / Bearish / Sideways;
* **Last Bottom / Last Top** с адаптивным количеством знаков (подходит под крипту, форекс, акции и т.д.).
### 2.2. Базовые сигналы Buy / Close
* **Условие для Buy (лонг):**
* `CCI < -100` (зона перепроданности),
* при включённом фильтре — `RSI < 20`.
* **Условие для Close (шорт/выход):**
* `CCI > +100` (зона перекупленности),
* при включённом фильтре — `RSI > 80`.
По этим условиям индикатор рисует обычные метки **Buy** и **Close**.
### 2.3. Кластеры: Buy X и CloseV
Чтобы отсеять лишний шум, индикатор оценивает не только текущий бар, но и **4 последних бара**:
* `buy_count` — сколько раз условие на покупку выполнялось за последние 4 бара;
* `sell_count` — сколько раз условие на продажу/выход выполнялось за последние 4 бара.
Далее:
* **Buy X** появляется, когда:
* `buy_count ≥ 2` (минимум на 2 из 4 баров были условия для покупки),
* соблюдён фильтр по времени между усиленными сигналами (`Min Bars Between Signals`).
* **CloseV** появляется, когда:
* `sell_count ≥ 2`,
* прошло достаточно баров с момента предыдущего CloseV.
> ✅ Поэтому **Buy X и CloseV заметно сильнее и надёжнее одиночных Buy/Close**, особенно на **таймфреймах 1–4 часа**: рынок несколько раз подряд подтверждает один и тот же перегрев/разрядку момента.
### 2.4. Order Blocks
* При включённом `Show Order Blocks` индикатор выделяет **импульсные свечи**, чьё тело больше заданного множителя ATR.
* По таким свечам строятся цветные прямоугольники — **потенциальные блоки ордеров** (области поддержек/сопротивлений, где ранее проходил крупный объём).
---
## 3. Настройки и кастомизация
Настройки сгруппированы в привычные разделы TradingView.
### 3.1. Pivot Settings
* `Show Pivots` — включить/выключить метки **Top / Bottom**.
* `Sigma (% retracement)` — чувствительность к пивотам (минимальная глубина отката в процентах).
* Цвета Top/Bottom — визуальная настройка.
**Совет:**
На H1–H4 можно оставить значения близкие к стандартным.
На младших ТФ уменьшайте `Sigma`, если нужна более детальная структура.
### 3.2. CCI / RSI Settings
* `CCI Period` — период CCI (по умолчанию короткий, для более быстрой реакции).
* `Enable RSI Filter` / `RSI Period` — включение и длина RSI-фильтра.
* Уровни RSI фиксированы: **20 / 80**, выделяя сильную перепроданность/перекупленность.
**Использование:**
* Для более консервативной торговли — держите фильтр RSI включённым.
* Для более частых сигналов (скальпинг и т.п.) — можно фильтр отключить.
### 3.3. Order Blocks
* `Show Order Blocks` — отображение блоков ордеров.
* `Block Threshold (ATR multiplier)` — насколько большой должна быть свеча относительно ATR, чтобы считаться значимой.
### 3.4. Signals & Filters
* `Show Buy / Show Buy X / Show Close / Show CloseV` — выбор типов отображаемых меток.
* `Enable Time Filter` — включение минимального интервала между усиленными сигналами.
* `Min Bars Between Signals` — сколько баров должно пройти между двумя Buy X или двумя CloseV.
**Совет:**
Если усиленных сигналов слишком много — увеличьте `Min Bars Between Signals`.
Если хотите больше активности — уменьшите это значение.
### 3.5. Alerts
* `Buy Alerts / Buy X Alerts / Close Alerts / CloseV Alerts` — выбор типов сигналов для алертов.
* `One Alert Per Bar` — при включении алерты отправляются один раз на бар (рекомендуется для H1–H4).
Алерты формируются через `alert()` с сообщением, включающим тип сигнала, тикер, таймфрейм и текущую цену.
---
## 4. Как использовать White Crow в торговле
### 4.1. Рекомендуемые таймфреймы
* 📌 **Основной фокус: 1–4 часа.**
На этих ТФ:
* структура по пивотам и тренд более стабильны;
* CCI/RSI отражают существенные ценовые колебания;
* кластеры **Buy X / CloseV** лучше отсеивают шум.
На M1–M15 индикатор тоже можно применять, но нужно быть готовым к большему количеству сигналов и чувствительности к микродвижениям.
### 4.2. Пошаговое чтение сигналов
1. **Начните с контекста**
* Посмотрите на **Market Trend / Last Bottom / Last Top** в панели.
* Определите, где находитесь относительно этих уровней: у сопротивления, у поддержки, внутри диапазона и т.п.
2. **Найдите зоны интереса**
* Используйте пивоты и order blocks как потенциальные области спроса/предложения.
* Ждите подхода цены к этим зонам.
3. **Отслеживайте сигналы**
* **Buy** — ранний признак локальной перепроданности.
* **Buy X** — усиленный кластерный сигнал, более значимый, чем одиночный Buy.
* **Close** — ранний сигнал возможного ослабления текущего движения.
* **CloseV** — усиленный кластерный сигнал выхода/разворота.
4. **Практическое применение**
* В *бычьем* тренде:
* фокус на **Buy / Buy X** возле впадин и зон спроса;
* **Close / CloseV** использовать для частичной фиксации и подтягивания стопа.
* В *медвежьем* тренде:
* фокус на **Close / CloseV** возле вершин и зон предложения;
* **Buy / Buy X** — для аккуратных контртрендовых входов с жестким риском.
---
## 5. Важные замечания и дисклеймер
1. **Buy X / CloseV сильнее, но не «волшебные» сигналы.**
Они статистически более значимы, чем одиночные Buy/Close, потому что:
* требуют нескольких подтверждений в кластере;
* фильтруются по времени.
Однако **ложные срабатывания всё равно возможны**, особенно на новостях и в условиях низкой ликвидности.
2. **Оптимальная область применения — старшие ТФ (1–4 часа).**
Здесь Buy X и CloseV обычно отражают реальное изменение баланса спроса/предложения, а не шум.
3. **Это инструмент подтверждения, а не полноценная система.**
Pro Trading White Crow:
* не управляет рисками;
* не считает размер позиции и уровень стоп-лосса;
* не заменяет ваше собственное видение рынка.
Всегда используйте его сигналы **как один из факторов согласованности** вместе со структурой, трендом, price action, объёмом и персональным торговым планом.
4. **Образовательный характер.**
Скрипт и описание предназначены для обучения и анализа графиков.
Они **не являются инвестиционной рекомендацией и не гарантируют прибыль**.
Вы самостоятельно принимаете все торговые решения и несёте полную ответственность за риск.
---
TCT OBIF Detector█ OVERVIEW
The OBIF (Order Block Imbalance Fill) indicator automatically detects and visualizes high-probability trading zones by combining two powerful Smart Money Concepts: Order Blocks and Fair Value Gaps (FVGs).
An OBIF occurs when an Order Block forms immediately before a Fair Value Gap, creating a zone of institutional interest that price often revisits before continuing its move.
█ CONCEPTS
Order Block (OB)
An Order Block is the last opposing candle before a strong directional move. It represents an area where institutional traders likely placed orders.
- Bullish OB: Last bearish candle before an up-move
- Bearish OB: Last bullish candle before a down-move
Fair Value Gap (FVG)
An FVG is a price imbalance created when a candle's body completely gaps past the previous candle's range, leaving an unfilled area.
- Bullish FVG: Gap up where candle .low > candle .high
- Bearish FVG: Gap down where candle .high < candle .low
OBIF Zone
When an Order Block directly precedes an FVG, it creates an OBIF - a confluence zone with higher probability of acting as support/resistance.
█ HOW TO USE
1. Identify the Trend
Use OBIFs in the direction of the higher timeframe trend for best results.
2. Wait for Price to Return
OBIFs act as magnets - price often returns to fill the imbalance and test the order block.
3. Look for Confirmation
When price enters an OBIF zone, look for:
- Rejection wicks
- Engulfing patterns
- Break of structure on lower timeframes
4. Mitigation
Once price fully trades through the OBIF (touches the opposite edge), the zone is considered mitigated and loses its significance.
█ FEATURES
- Automatic Detection — Identifies OBIFs in real-time as they form
- Visual Zones — Clean, non-intrusive boxes that don't obscure price action
- Mitigation Tracking — Zones automatically update when price mitigates them
- Multi-Timeframe Friendly — Works on any timeframe from 1m to Monthly
- Customizable — Adjust colors, opacity, and display preferences
█ SETTINGS
- Lookback Window — How many candles back to search for the Order Block (default: 3)
- Show Bullish/Bearish — Toggle visibility of each type
- Show Mitigated — Display zones that have been mitigated (shown in gray)
- Fill Opacity — Adjust zone transparency (higher = more see-through)
- Border Width — Thickness of zone borders
█ BEST PRACTICES
✓ Use on higher timeframes (1H+) for more reliable zones
✓ Combine with market structure analysis
✓ Look for OBIFs at key support/resistance levels
✓ Use lower timeframe confirmation for entries
✗ Don't trade every OBIF blindly
✗ Avoid OBIFs against the dominant trend
█ CREDITS
The Composite Trader (TCT) methodologies.
Auto Reaction Zones (XAUUSD)
✅ Auto Reaction Zones (XAUUSD) OANDA:XAUUSD
Auto Reaction Zones (XAUUSD) is an advanced supply & demand mapping tool designed to detect high-probability reaction zones using price impulses, volatility filters, market structure, and adaptive confirmation logic.
This indicator automatically identifies strong bullish and bearish reaction bases formed before impulsive movements, then plots dynamic demand and supply zones that help traders anticipate future reactions, reversals, or continuation points.
🔍 Core Features
▪ Automatic Supply & Demand Zone Detection
Identifies zones based on structural breakout impulses using ATR-based thresholds, volume confirmation, and validated base levels.
▪ Adaptive Confirmation Distance (ADR-Based)
The zone becomes active/confirmed only after price moves a configurable number of points.
A unique 3-case ADR logic adjusts the required confirmation distance based on current market volatility:
Case 1: Low ADR → smaller confirmation required
Case 2: Moderate ADR → medium confirmation
Case 3: High ADR → higher confirmation (more filtering)
This ensures stronger zones in high-volatility conditions (e.g., XAUUSD).
▪ Smart Zone Management
Automatic extension until tested or consumed
Optional lifetime limits (bars or days)
Auto-delete unconfirmed zones if price violates them too early
Hide tested or consumed zones for a cleaner chart
▪ Adjustable Zone Size Filtering
Option to enforce a minimum or maximum zone size, useful for cleaning noise and ultra-small reaction levels.
▪ ADR-Based Zone Spacing Filter
Prevents the creation of zones that are too close to each other.
Different spacing rules for same-direction and opposite-direction zones.
▪ Multi-Timeframe Mode
Overlay zones detected from higher timeframes directly onto your current chart.
▪ Directional Bias (EMA Filter)
Optionally restrict long/short zones based on EMA trend alignment.
▪ Real-Time Alerts
Receive alerts when price touches any active zone or only fresh zones.
🎯 Why This Indicator Is Different
Unlike typical supply/demand indicators that print every swing,
Auto Reaction Zones focuses on:
Only strong reaction bases
Only valid impulse-generated levels
Only zones confirmed by price movement
Only zones that respect volatility and minimum spacing rules
This results in cleaner charting, fewer false zones, and far more reliable reaction levels, especially on volatile instruments like XAUUSD.
⚠️ Disclaimer
This tool is not financial advice. Always combine zone analysis with broader market context and risk management.
FX OSINT — Institutional Midnight Intelligence For ForexFX OSINT — Institutional Midnight Intelligence For Forex
See Your FX Charts Like an Intelligence Briefing, Not a Guess
If you’ve ever stared at EURUSD or GBPJPY and thought:
Where is the real liquidity?
Is this move sponsored by smart money or just noise?
Am I buying into premium or discount?
…then FX OSINT is designed for you.
FX OSINT (Forex Open Source Intelligence) treats the FX market the way an analyst treats an investigation:
Collect open‑source signals from price, time, and volatility.
Map out liquidity, structure, and sessions in a repeatable way.
Present them in a clean, non‑cluttered dashboard so you can read context quickly.
No rainbow spaghetti. No 12 indicators stacked on top of each other. Just structured information, midnight visuals, and a clear read on what the market is doing right now.
Why FX OSINT Exists
Many FX traders run into the same problems:
Overloaded charts – multiple indicators fighting for space, none talking to each other.
Signals with no context – arrows that ignore structure, sessions, and liquidity.
Tools not tuned for FX – generic indicators that don’t care what pair you are on.
FX OSINT brings this together into one FX‑focused framework that:
Understands structure : BOS/CHOCH, swings, and trend across multiple timeframes.
Respects liquidity : sweeps, order blocks, and FVGs with controlled visibility.
Reads volatility & ADR : how far today’s range has developed.
Knows the clock : London, New York, and key killzones.
Scores confluence : a 0–100 engine that summarizes how much is lining up.
FX OSINT is built for traders who want structured, institutional‑style logic with a disciplined, midnight‑themed UI —not flashing buy/sell buttons.
1. Midnight Dashboard — Top‑Right Intelligence Panel
This panel acts as your compact “situation room”:
CONFLUENCE — 0–100 score blending trend alignment, volatility regime, sessions, liquidity events, order blocks, FVGs, and ADR context.
REGIME — Low / Building / Normal / Expansion / Extreme, driven by ATR relationships, so you know if you’re in chop, trend, or expansion.
HTF / MTF / LTF TREND — Higher‑, medium‑, and current‑timeframe bias in one place, so you see if you are trading with or against the larger flow.
ADR USED — How much of today’s typical range has already been consumed in percentage terms.
PIP VALUE — Approximate pip size per pair, including JPY‑style pairs.
Everything is bold, legible, and color‑coded, but the layout stays minimal so you can:
Look once → understand the context.
2. Structure, BOS, CHOCH — Smart‑Money‑Style Skeleton
FX OSINT tracks swing highs and lows, then shows how structure evolves:
Trend logic based on evolving swings, not just a moving average cross.
BOS (Break of Structure) when price expands in the direction of trend.
CHOCH (Change of Character) when behavior flips and the market structure changes.
Labels are selective, not spammy . You don’t get a tag on every minor wiggle—only when structure meaningfully shifts, so it’s easier to answer:
"Are we continuing the current leg, or did something actually change here?"
3. Liquidity Sweeps, Order Blocks & FVGs — The OSINT Layer
FX OSINT treats liquidity as a key information layer:
Liquidity sweeps — Detects when price spikes through recent highs/lows and then snaps back, flagging potential stop runs.
Order blocks — The last opposite candle before a displacement move, drawn as controlled boxes with limited lifespan to avoid clutter.
Fair Value Gaps (FVGs) — Three‑candle imbalances rendered as precise zones with a cap on how many can exist at once.
Under the hood, boxes are managed so your chart does not become a wall of old zones:
// Draw Order Blocks with overlap prevention
if isBullishOB and showOrderBlocks
if array.size(obBoxes) >= maxBoxes
oldBox = array.shift(obBoxes)
box.delete(oldBox)
newBox = box.new(bar_index , low , bar_index + obvLength, high ,
border_color = bullColor, bgcolor = bullColorTransp,
border_width = 2, extend = extend.none)
array.push(obBoxes, newBox)
Box limits keep the number of zones under control.
Borders and transparency are tuned so you still see price clearly.
You end up with a curated liquidity map , rather than a chart buried under every level price has ever touched.
4. Volatility, ADR & Sessions — Time and Range Intelligence
FX OSINT runs a Volatility Regime Analyzer and an ADR engine in the background:
Volatility regime — Five states (Low → Extreme) derived from fast vs. slow ATR.
ADR bands — Daily high/mid/low projected from the current daily open.
ADR used % — How far today’s move has traveled relative to its typical range.
On the time side:
Asia, London, New York sessions are softly highlighted with a single active background to avoid overlapping colors.
Killzones (e.g., London and New York opens) can be emphasized when you want to focus on where significant moves often begin.
Together, this helps you answer:
"What time is it in the trading day?"
"How stretched are we?"
"Is expansion just starting, or are we late to the move?"
5. ICT‑Style Add‑Ons — BOS/CHOCH, Premium/Discount, and Confluence
For modern FX / ICT‑inspired workflows, FX OSINT includes:
BOS / CHOCH labels — Clear structural shifts based on swings.
Premium / Discount zones — 25%, 50%, 75% levels of the daily range, so you know if you are buying discount in an uptrend or selling premium in a downtrend.
Confluence score — A single number summarizing how many conditions line up in the current context.
Instead of replacing your plan, FX OSINT compresses your checklist into the chart:
Structure
Liquidity
Session / Time
Volatility / ADR
Higher‑timeframe alignment
When these agree, the dashboard reflects it. When they don’t, it stays neutral and lets you see the conflict.
How To Use FX OSINT
FX OSINT is not a signal bot. It is an information engine that organizes context so you can apply your own plan.
A typical workflow might look like:
Start on higher timeframes (e.g., H4/D1) to form directional bias from structure, volatility regime, and ADR context.
Move to intraday timeframes (e.g., M15/H1) around your chosen sessions (London and/or New York).
Look for confluence :
HTF / MTF / LTF trends aligned.
Price in discount for longs or premium for shorts.
Recent liquidity sweep into a meaningful OB or FVG.
Confluence score at or above a level you consider significant.
Then refine entries using BOS/CHOCH on lower timeframes according to your own risk and execution rules.
FX OSINT aims to make sure you do not enter a trade without seeing:
Where you are in the day (ADR and sessions).
Where you are in the volatility cycle (regime).
Who currently appears in control (structure and trend).
Which liquidity was just targeted (sweeps and zones).
Design Choices and Scope
FX OSINT was designed around a few clear constraints:
FX‑focused — Logic and filters tuned for FX majors, minors, exotics, and metals. It is intended for FX markets, not for every possible asset class.
Open‑source — The full Pine Script code is available so you can read it, learn from it, and adapt it to your own workflow if needed.
Clear themes — Two main visual styles (e.g., dark institutional “midnight” and a lighter accent variant) with a focus on readability, not visual noise.
Chart‑friendly — Panels use fixed areas, session highlights avoid overlapping, and boxes are capped/pruned so the chart remains usable.
FX OSINT is for only Forex pairs, not anything else!
Hope you enjoyed and remember your Open Source Intelligence Matters 😉!
-officialjackofalltrades
Pivot Points High Low (With confirm bar)This script simply adds a visual circle confirmation to visualise the bar when the pivot has been confirmed. It's based on Pivot Points High Low scripts
EMA Cloud TrendEMA Cloud Trend (Dual-Layer)
A clean and popular two-layer EMA cloud indicator:
• Inner cloud (EMA 8 – EMA 18): Bright yellow with 80% transparency
• Outer cloud (EMA 18 – EMA 36): Green (bullish) or Red (bearish) with 70% transparency
Trend direction is determined by the position of the fast EMA (8) relative to the slow EMA (36):
- Green outer cloud → Bullish bias
- Red outer cloud → Bearish bias
Fully transparent design that doesn’t hide price action. Perfect for trend confirmation, swing trading, and as a visual background filter.
Lightweight • No repainting • Works on all markets and timeframes
Enjoy the clouds!
EMA Cloud Trend (Çift Katmanlı)
Bassi MACD Pro + ADX Filter + Smart Histogram TP + RSIA professional-grade MACD indicator that dramatically reduces false signals by combining four powerful filters:
Key Features
Classic MACD (12,26,9) with clean, high-visibility histogram coloring
ADX + DI filter – only takes trades when ADX > user-defined threshold (default 25) ensuring you trade only in strong trending markets
Smart Histogram Take-Profit logic – automatically detects the exact moment bullish/bearish momentum starts to weaken after a strong move and marks a precise TP level (one TP per trade – no repainting, no multiple signals)
Zero-line crossover confirmation + histogram direction filter – eliminates many whipsaw signals common in regular MACD
Separate RSI pane with overbought/oversold levels and visual markers (for additional confluence – does not interfere with main logic)
Visual Signals
Green “MACD BUY” label + lime triangle = confirmed long entry in strong trend
Red “MACD SELL” label + red triangle = confirmed short entry in strong trend
Small lime/red “TP” triangles = Smart Histogram Take-Profit triggered (perfect exit timing based on momentum fade)
Alert Conditions Included
MACD BUY
MACD SELL
TP Long Hit
TP Short Hit
Combined “Any Signal” alert
Why this version outperforms standard MACD
Most MACD crossovers fail in ranging markets. This script solves that by:
Requiring strong trend (ADX filter)
Confirming histogram is actually growing in the new direction
Waiting for the true zero-line cross with momentum
Giving you an intelligent, non-fixed % take-profit based on real histogram exhaustion
Excellent for swing trading, day trading, crypto, forex, and stocks on any timeframe (works especially well on 1H–4H–Daily).
Clean, fast, no repainting, fully alert-ready.
Add to chart → set your alerts → trade only the highest-probability MACD signals.
Buy & Sell Arrows - MACD + Best_Solve WPRMACD + Best_Solve Williams %R – Aggressive Trend-Reversal Catcher
(Allow Signals Even in Overbought/Oversold Zones)
This indicator combines the classic MACD histogram with Best_Solve’s popular custom Williams %R (a 0–100 momentum oscillator that behaves more like a fast Stochastic) to deliver clean, high-conviction entry signals on daily (and higher) timeframes.
Core Logic – Only TWO conditions are required
BUY (large green arrow below bar)
MACD histogram is green (bullish momentum)
Williams %R fast line is crossing above OR already above its EMA
SELL (large red arrow above bar)
MACD histogram is red (bearish momentum)
Williams %R fast line is crossing below OR already below its EMA
Unlike most oscillators, this version deliberately removes the traditional “do not buy when overbought / do not sell when oversold” filters. This allows the script to catch powerful trend reversals and explosive moves immediately — even on violent earnings gaps or panic sell-offs (example: META’s -11 % drop on Oct 30 2025 triggered an instant sell even though %R was deeply oversold).
Built-in Clean-Signal Logic
No consecutive buys or sells — each new signal must be preceded by the opposite direction.
This keeps the chart extremely clean and prevents whipsaw clusters during strong trends.
Best Use Cases
Daily and 4H swing trading on stocks, indices, crypto, forex
Excellent for catching sharp reversals after earnings, news events, or overextended moves
Works especially well on high-beta names and growth stocks
Visuals
Large green/red arrows with “BUY” / “SELL” text (your favorite style)
Subtle transparent MACD histogram overlaid on price for instant momentum context
Ready-to-use alerts (“Buy Alert” / “Sell Alert”)
Set it, alert it, trade it — one of the cleanest and most responsive daily reversal systems you’ll find.
Enjoy the edge!
