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
Hareketli Ortalamalar
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.
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)
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.
Market Structure +21 EMA Hariss 369This indicator combines Market Structure, 21-EMA trend filtering, and Break of Structure (BOS) signals to help identify trend continuation and reversal opportunities. It automatically detects swing highs and lows using a pivot-based method and classifies them into the four core structure types: HH (Higher High), HL (Higher Low), LH (Lower High), and LL (Lower Low).
Short trendline segments are drawn between consecutive pivots to visualize the evolving structure without cluttering the chart. When price breaks above a previous structure high or below a previous structure low, the indicator marks a BOS event using a dotted line on the breakout candle and a small horizontal “break line”.
A 21-period EMA acts as directional confirmation:
BUY signals appear only when price breaks structure upward and is above the EMA.
SELL signals appear only when price breaks structure downward and is below the EMA.
This makes it easier to follow the dominant trend while filtering out false breakouts. The indicator is clean, lightweight, and suitable for intraday as well as swing trading.
Trend with ADX, multiple EMAs - Buy & Sell✔ Trend Direction
Via DI+ > DI–
✔ Trend Strength
Via ADX
✔ Fast Entry Signals
5/8 EMA crossovers
✔ Larger Trend Confirmation
13/48 EMA crossovers
✔ Macro Trend
EMA 200
✔ Intraday Bias
VWAP
✔ Visual Trend (background)
✔ Alerts for signals + trend shifts
Daily 9 SMA S/R with Std DevThis indicator plots the Daily 9 Simple Moving Average as dynamic support/resistance on any timeframe, with standard deviation bands to measure trend strength and identify overextended price action.
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HOW IT WORKS
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The Daily 9 SMA acts as a key level institutions watch. When price is above it, bullish bias. Below it, bearish bias. Simple.
Standard deviation bands show you:
- 1 StdDev = Strong trend territory
- 2 StdDev = Extreme/overextended - potential reversal zone
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FEATURES
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- Daily 9 SMA plotted on any timeframe
- 1 & 2 Standard Deviation bands
- Trend strength scoring (-3 to +3)
- Info table showing current values and trend status
- Visual signals for MA reclaims, losses, and trend entries
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ALERTS
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- Price Reclaims Daily 9 SMA
- Price Loses Daily 9 SMA
- Enter Strong Bullish Zone (>1 StdDev)
- Enter Strong Bearish Zone (<1 StdDev)
- Extreme Extension Alerts (2 StdDev)
- Bounce/Rejection at MA
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HOW TO USE
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1. Use on lower timeframes (5m, 15m, 1H) to see Daily levels
2. Look for bounces off the Daily 9 SMA for entries
3. Avoid longs when price loses the MA, avoid shorts when price reclaims
4. Use StdDev bands to gauge when price is overextended
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SETTINGS
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- MA Length - Default 9
- StdDev Multipliers - Default 1.0 and 2.0
- StdDev Lookback - Default 20
- Customizable colors
Works on any market - Forex, Crypto, Stocks, Futures.
Hyper Insight MA Strategy [Universal]Hyper Insight MA Strategy ** is a comprehensive trend-following engine designed for traders who require precision and flexibility. Unlike standard indicators that lock you into a single calculation method, this strategy serves as a "Universal Adapter," allowing you to **Mix & Match 13 different Moving Average types** for both the Fast and Slow trend lines independently.
Whether you need the smoothness of T3, the responsiveness of HMA, or the classic reliability of SMA, this script enables you to backtest thousands of combinations to find the perfect edge for your specific asset class.
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🔬 Deep Dive: Calculation Logic of Included MAs
This strategy includes 13 distinct calculation methods. Understanding the math behind them will help you choose the right tool for your specific market conditions.
#### 1. Standard Averages
* **SMA (Simple Moving Average):** The unweighted mean of the previous $n$ data points.
* *Logic:* Treats every price point in the period with equal importance. Good for identifying long-term macro trends but reacts slowly to recent volatility.
* **WMA (Weighted Moving Average):** A linear weighted average.
* *Logic:* Assigns heavier weight to current data linearly (e.g., $1, 2, 3... n$). It reacts faster than SMA but is still relatively smooth.
* **SWMA (Symmetrically Weighted Moving Average):**
* *Logic:* Uses a fixed-length window (usually 4 bars) with symmetrical weights $ $. It prioritizes the center of the recent data window.
#### 2. Exponential & Lag-Reducing Averages
* **EMA (Exponential Moving Average):**
* *Logic:* Applies an exponential decay weighting factor. Recent prices have significantly more impact on the average than older prices, reducing lag compared to SMA.
* **RMA (Running Moving Average):** Also known as Wilder's Smoothing (used in RSI).
* *Logic:* It is essentially an EMA but with a slower alpha weight of $1/length$. It provides a very smooth, stable line that filters out noise effectively.
* **DEMA (Double Exponential Moving Average):**
* *Logic:* Calculated as $2 \times EMA - EMA(EMA)$. By subtracting the "lag" (the smoothed EMA) from the original EMA, DEMA provides a much faster reaction to price changes with less noise than a standard EMA.
* **TEMA (Triple Exponential Moving Average):**
* *Logic:* Calculated as $3 \times EMA - 3 \times EMA(EMA) + EMA(EMA(EMA))$. This effectively eliminates the lag inherent in single and double EMAs, making it an extremely fast-tracking indicator for scalping.
#### 3. Advanced & Adaptive Averages
* **HMA (Hull Moving Average):**
* *Logic:* A composite formula involving Weighted Moving Averages: ASX:WMA (2 \times Integer(n/2)) - WMA(n)$. The result is then smoothed by a $\sqrt{n}$ WMA.
* *Effect:* It eliminates lag almost entirely while managing to improve curve smoothness, solving the traditional trade-off between speed and noise.
* **ZLEMA (Zero Lag Exponential Moving Average):**
* *Logic:* This calculation attempts to remove lag by modifying the data source before smoothing. It calculates a "lag" value $(length-1)/2$ and applies an EMA to the data: $Source + (Source - Source )$. This creates a projection effect that tracks price tightly.
* **T3 (Tillson T3 Moving Average):**
* *Logic:* A complex smoothing technique that runs an EMA through a filter multiple times using a "Volume Factor" (set to 0.7 in this script).
* *Effect:* It produces a curve that is incredibly smooth and free of "overshoot," making it excellent for filtering out market chop.
* **ALMA (Arnaud Legoux Moving Average):**
* *Logic:* Uses a Gaussian distribution (bell curve) to assign weights. It allows the user to offset the moving average (moving the peak of the weight) to align it perfectly with the price, balancing smoothness and responsiveness.
* **LSMA (Least Squares Moving Average):**
* *Logic:* Calculates the endpoint of a Linear Regression line for the lookback period. It essentially guesses where the price "should" be based on the best-fit line of the recent trend.
* **VWMA (Volume Weighted Moving Average):**
* *Logic:* Weights the closing price by the volume of that bar.
* *Effect:* Prices on high volume days pull the MA harder than prices on low volume days. This is excellent for validating true trend strength (i.e., a breakout on high volume will move the VWMA significantly).
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### 🛠 Features & Settings
* **Universal Switching:** Change the `Fast MA` and `Slow MA` types instantly via the settings menu.
* **Trend Cloud:** A dynamic background fill (Green/Red) highlights the crossover zone for immediate visual trend identification.
* **Strategy Mode:** Built-in Backtesting logic triggers `LONG` entries when Fast MA crosses over Slow MA, and `EXIT` when Fast MA crosses under.
### ⚠️ Disclaimer
This script is intended for educational and research purposes. The wide variety of MA combinations can produce vastly different results. Past performance is not indicative of future results. Please use proper risk management.
Responsive ADX (RADX)Introducing the new Responsive ADX (RADX), running with a (length = 9) and exactly how it differs from the standard built-in ADX you see on TradingView chart.
This indicator is still a true ADX at its core — it measures trend strength from 0 to 100 and uses the classic +DI and –DI lines to show direction — but it has been carefully "tuned" to react noticeably faster while staying smooth and usable. With the length set to 9, it is one of the most responsive versions you can run without turning into noise.
How it behaves differently from the normal (Wilder) ADX
Normal ADX is lagging, now this version gives you the same trend-strength reading 4–8 bars earlier than the built-in ADX. On a daily chart that can easily be 4–8 calendar days of earlier warning. On a 4-hour chart it’s 16–32 hours earlier. That head-start is the whole point.
The ADX line rises and falls much quicker.
When a new trend actually starts, you will often see this Fast ADX cross above 18–20 while the built-in ADX is still sleeping below 15. Conversely, when a trend dies, this version drops faster, so you’re not left holding a dead trade for an extra week.
The +DI and –DI lines are almost identical to the original, but lightly smoothed with a 5-period EMA (you can turn this off). This makes the DI crossovers cleaner and reduces whipsaws without adding meaningful lag.
The final ADX smoothing uses a lightweight Hull-style technique instead of Wilder’s very slow RMA. This is the main “secret sauce” that removes roughly half the lag while keeping the line smooth and readable.
Values are realistic and tradable.
With length 9 you will typically see:
– 0–18 = flat / chop
– 15–20 = emerging trend (background starts colouring)
– 20–50 = strong trend (most people take this as confirmation)
– above 50–60 only in very powerful moves (same as normal ADX)
The aqua / purple background only appears when both conditions are met: the correct DI is on top and Fast ADX is above your chosen “weak-to-trending” level (default 18).
This prevents the background from flashing on and off in sideways markets — exactly the same logic you liked in the original Trinity ADX, but now much earlier.
In very simple terms
Think of the normal built-in ADX as a diesel truck — reliable but slow to accelerate and slow to stop. Fast Responsive ADX with length 9 is the same truck with a turbocharger — same destination and same load capacity, but it gets up to speed twice as fast and brakes earlier when the road turns.
We would recommend people who switch to this version keep the (length 9–12) because the edge in timing is obvious on the chart.
That’s it — this is a new more responsive version, still-logical ADX!
5-RSI HighSrc Buy/SellBest used on the 5 min chart, this indicator detects early intraday momentum reversals that occur within an alread-bullish trend using (source = high) RSI lengths 5, 8, 13, 21, & 34. This is primarily designed to catch the moment an uptrend resumes after a dip.
BTC STH Proxy vs Realized Price (RP) Ratio | STH : LTH📊 REALIZED PRICE MARKET SIGNAL
Indicator that builds a Short-Term Holder (STH) price proxy using a configurable moving average of Bitcoin’s market price and compares it to Bitcoin’s Realized Price (RP) derived from on-chain data.
Realized Price (RP) is calculated from CoinMetrics Realized Market Cap divided by Glassnode circulating supply.
STH Proxy is a user-defined moving average (EMA/SMA/WMA) of BTC price, designed to mimic the behavior of the true STH Realized Price.
Users can adjust the MA type, length, and RP smoothing to closely replicate the STH curve seen on Glassnode, Bitbo, and Bitcoin Magazine Pro.
Optionally, the indicator can display the STH/RP ratio, which highlights transitions between market phases.
This tool provides a simple but effective way to visualize short-term vs long-term holder cost-basis dynamics using only publicly accessible on-chain aggregates and price data.
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💡TLDR: An alt take on the Short-Term Holder Realized Price / Long-Term Holder Realized Price cross model | (STH/LTH cross)
- A mix of MAs are used to mimic STH.
- RP here used as a proxy for the long-term holder (LTH) cost basis.
- Bull/Bear signals are generated when the STH proxy crosses above or below RP.
⭐ Free to use • Leave feedback • Happy trading!
Confluence Retournement Haussier - Ultimate V1This indicator was originally designed to visualize the right moment to enter a position. I buy stocks when they are falling, at the bottom before they rebound.
The 30‑minute chart with its 100 EMA was used as the baseline, but it can be applied to multiple timeframes. I even used it on a 1‑second chart for a ticker, and when there is volume it works wonderfully.
It’s up to you to check whether it fits the ticker you’re analyzing by testing it on historical data.
Drawback: it takes up screen space. Feel free to improve it.
See a ticker in freefall and wonder whether it’s a good time to buy or if it will keep falling? Switch your chart to 30 minutes and watch for triangles and green circles to start appearing.
You could call it momentum. Your background begins to show color when there is confluence. If it stays black, don’t buy.
Already in the trade and the screen turns black? Sell, and wait for the colors to return before buying back in
Copper_to_Gold_Ratio by Zeche Cu/Au Ratio – LINES + LABELS is a clean, macro-oriented indicator built around the Copper/Gold price ratio — a well-known gauge of economic strength, market sentiment, and shifts between risk-taking and risk-aversion.
The script calculates:
the 120-day SMA of the Copper/Gold ratio
the standard deviation over the same period
the ±1σ, ±1.5σ, and ±2σ deviation bands
automatic labels on the last bar for maximum clarity
The design is minimalistic and visually optimized so users can quickly understand where the current ratio sits relative to long-term norms. The deviation zones help highlight moments when the market transitions into RISK-ON or RISK-OFF behavior.
How to interpret the signals:
Above +2σ → RISK-OFF environment (defensive tone, macro stress)
Below −2σ → RISK-ON environment (increased risk appetite)
±1σ bands represent normal cyclical movements
The SMA acts as the long-term equilibrium level
Moving Average + Candle LeverageWhat if you could extract more value from each trade based on your stop loss and entry, increasing your leverage safely? Could your winning trades be even more profitable?
This indicator uses a single selectable moving average (SMA, EMA, WMA, HMA, or VWMA) to calculate safe leverage per candle, allowing traders to maximize each trade within a defined stop loss. Actual profit remains variable depending on market movement and applied leverage.
How signals appear and how leverage is determined
L (green): signals that price crossed above the moving average (potential long entry).
S (red): signals that price crossed below the moving average (potential short entry).
Each crossover shows a label with “x”, indicating the theoretical safe leverage for that candle.
How safe leverage is calculated:
Long: close ÷ (close − candle low)
Short: close ÷ (candle high − close)
How leverage is applied:
Identify the signal candle and record close, high, and low.
Calculate the difference between the close price and the stop price (low for Long, high for Short).
The percentage difference between these prices is our safe leverage: the smaller the difference, the higher the leverage possible, always respecting the stop loss.
The “x” label shows this maximum leverage, protecting the position balance using the candle’s stop loss.
Actual profit will still depend on market movement, but the stop loss is already defined and secure.
Main benefits:
Maximize trade potential with known stop loss
Plan entries and position sizing safely
Clearly visualize safe leverage per candle
Simple, efficient, and educational
Disclaimer:
The indicator does not execute trades automatically and is not a full trading system. It is intended solely for educational purposes and safe leverage management.
Linear Regression CVDHere is the complete user manual and introduction for the Linear Regression CVD indicator in English. You can save this as your documentation for your trading system.
📊 Linear Regression CVD – Trader’s Manual
1. Introduction
Core Concept:
Standard Cumulative Volume Delta (CVD) indicators are often noisy and jagged, making it difficult to decipher the true direction of capital flow. This indicator applies a Linear Regression algorithm to smooth out the CVD data and adds a Standard Deviation Channel. It is designed to answer two critical questions:
What is the "True Trend" of the money flow? (Filtering out noise)
Is the market sentiment currently overheated? (Using the channel to spot extremes)
Best Markets:
Crypto Perpetual Futures (e.g., BTCUSDT.P) — Highly Recommended.
Stocks & Forex (Must have volume data).
Timeframes:
Scalping: 1m, 5m, 15m (To catch rapid capital inflows/outflows).
Swing Trading: 1H, 4H (To identify the dominant direction of "Smart Money").
2. Visual Guide
When you load the indicator, you will see the following elements:
A. The Main Line (Linear Regression)
Appearance: A smooth, thick line.
Meaning: The average trend of capital flow.
Color Logic:
🟢 Green: Money flow is trending UP (Buyers are dominant).
🔴 Red: Money flow is trending DOWN (Sellers are dominant).
B. The Raw Line (Gray Hairline)
Appearance: A thin, jagged gray line fluctuating around the main line.
Meaning: The Raw, Real-time CVD. It calculates the volume delta (Close vs. Open) for every single candle without smoothing.
C. The Channel (Blue Background)
Appearance: A blue shaded area around the main line.
Meaning: The "Normal Volatility Range."
Calculated based on 2 Standard Deviations (2σ) from the Linear Regression.
If the Gray Line stays inside this channel, the market is stable/balanced.
D. The Signal Dots
🟢 Green Dot (Upside Extension): The Raw CVD has broken above the upper channel.
Meaning: Extreme Greed / Aggressive Buying / FOMO.
🔴 Red Dot (Downside Extension): The Raw CVD has broken below the lower channel.
Meaning: Extreme Fear / Panic Selling / Capitulation.
3. Trading Strategies
Strategy 1: Trend Confirmation
The basic "Follow the Money" approach.
Bullish Signal (Long):
Price is making Higher Highs.
CVD Main Line turns Green and slopes upward.
Action: Confirms that the price rise is backed by real volume. Hold or Add to Longs.
Bearish Signal (Short):
Price is making Lower Lows.
CVD Main Line turns Red and slopes downward.
Action: Confirms that sellers are in control. Hold Shorts.
Strategy 2: Divergence (High Win Rate)
Finding disagreements between "Price" and "Money Flow".
Bearish Divergence (Top Signal):
Price makes a Higher High.
CVD Main Line makes a Lower High (or fails to break out).
Meaning: Price is rising, but buying effort is fading (Exhaustion) or Limit Sellers are absorbing the buy orders (Absorption).
Action: Look for Short entries.
Bullish Divergence (Bottom Signal):
Price makes a Lower Low.
CVD Main Line makes a Higher Low.
Meaning: Price is dropping, but selling pressure is drying up, or Smart Money is absorbing sell orders via limit buy orders.
Action: Look for Long entries.
Strategy 3: Mean Reversion (Extreme Extensions)
Using the Red/Green dots to fade extremes.
Long Opportunity (Bounce):
Price crashes rapidly.
Cluster of Red Dots appears at the bottom.
Meaning: Panic selling has peaked (Capitulation). The market is oversold on a volume basis.
Action: Wait for a candle reversal pattern, then Long for a bounce.
Short Opportunity (Pullback):
Price pumps vertically.
Cluster of Green Dots appears at the bottom.
Meaning: Retail traders are chasing the pump (FOMO). Buying power is overextended.
Action: Wait for momentum to stall, then Short.
4. Important Limitations & Notes
Data Source Accuracy:
TradingView Standard Volume is an approximation (Close vs. Open logic).
It is not perfect "Tick Data" (like professional Orderflow software), but it is 90% accurate for trend analysis on 1H/4H charts.
Tip: Always use Perpetual Contract charts (e.g., BTCUSDT.P) for Crypto, not Spot charts, to get the correct volume data.
The "Extension" Trap:
Do not Short just because you see a Green Dot. In a strong parabolic bull run, you will see many Green Dots in a row while price keeps flying.
These dots indicate velocity, not necessarily a reversal. Always look for resistance levels or divergence before fading the move.
Settings:
Default Length: 20.
For faster signals: Try 10 or 14.
For smoother trends: Try 50.
5. Pre-Trade Checklist
Before entering a trade, check the Linear CVD:
Color: Is the CVD Line Green or Red? Does it match my trade direction?
Slope: Is the CVD accelerating or flattening out?
Divergence: Did price break a level, but CVD failed to follow? (Fakeout warning).
Extremes: Are there Red/Green dots appearing? If yes, am I chasing a trade too late?
这是一套完整的线性回归 CVD (Linear Regression CVD) 指标的使用说明书和简介。你可以把它保存下来，作为你的交易系统参考文档。
📊 线性回归 CVD (Linear Regression CVD) —— 交易员手册
1. 指标简介 (Introduction)
核心理念：
普通的 CVD（累积成交量差）往往噪音很大，线条锯齿状严重，导致交易者难以看清真正的资金流向趋势。本指标通过线性回归算法 (Linear Regression) 对 CVD 进行平滑处理，并结合标准差通道 (Standard Deviation Channel)，试图解决两个核心问题：
资金流向的真实趋势是什么？（排除噪音）
当前的情绪是否过热？（通过通道判定）
适用市场：
加密货币合约 (BTC, ETH 等永续合约) —— 效果最佳
股票、外汇 (需有成交量数据)
适用周期：
日内短线：1分钟、5分钟、15分钟（捕捉快速的资金进出）。
趋势波段：1小时、4小时（判断主力资金的大方向）。
2. 视觉元素说明 (Visual Guide)
当你加载指标后，你会看到以下几个部分：
A. 彩色主线 (The LinReg Line)
形态：一条平滑的粗线。
含义：资金流向的**“平均趋势”**。
颜色：
🟢 绿色：资金流向趋势向上（买盘主导）。
🔴 红色：资金流向趋势向下（卖盘主导）。
B. 灰色背景细线 (Raw CVD)
形态：一条充满锯齿的灰色细线，在主线周围波动。
含义：原始的、实时的累积成交量。它反应了当下的每一根K线的实际买卖差额。
C. 蓝色背景通道 (The Channel)
形态：包裹在主线周围的深蓝色带状区域。
含义：“正常波动范围”。
基于线性回归的 2倍标准差计算。
如果灰色细线在通道内运行，说明市场情绪稳定，多空力量均衡。
D. 信号点 (The Dots)
🟢 绿点 (底部出现)：原始 CVD 向上突破了通道上轨。代表极度贪婪 / 抢筹。
🔴 红点 (底部出现)：原始 CVD 向下跌破了通道下轨。代表极度恐慌 / 抛售。
3. 实战交易策略 (Trading Strategies)
策略一：趋势确认 (Trend Following)
这是最基础的顺势用法。
做多信号：
价格处于上升趋势（如在均线之上）。
CVD 主线由红变绿，且持续向上倾斜。
操作：这确认了价格的上涨有真金白银的买盘支持，可以持有或加仓。
做空信号：
价格处于下降趋势。
CVD 主线由绿变红，且持续向下倾斜。
操作：确认卖盘主导，价格下跌是健康的。
策略二：背离交易 (Divergence) —— 胜率最高的用法
寻找“主力资金”与“价格”不一致的地方。
顶背离 (看跌)：
价格创出了新高 (Higher High)。
CVD 主线却没有创新高，或者形成更低的高点 (Lower High)。
含义：价格在涨，但买入的资金在减少。这通常是主力在通过限价单悄悄出货，或者是买盘枯竭。
操作：准备做空，或多单止盈。
底背离 (看涨)：
价格创出了新低 (Lower Low)。
CVD 主线却形成了更高的低点 (Higher Low)。
含义：价格在跌，但卖出的资金在减少，或者有大资金在底部通过挂单吸筹 (Absorption)。
操作：准备做多，或空单止盈。
策略三：极端情绪反转 (Mean Reversion)
利用红绿点判断短期的超买超卖。
做多机会 (反弹)：
价格快速下跌，甚至暴跌。
指标底部出现密集的红点 (Downside Extension)。
含义：恐慌盘被杀出来了 (Capitulation)，市场短期内无可再卖。
操作：等待K线出现反转形态（如长下影线）后尝试博反弹。
做空机会 (回调)：
价格快速拉升（垂直上涨）。
指标底部出现密集的绿点 (Upside Extension)。
含义：大量的散户在追涨 (FOMO)，透支了买盘动能。
操作：等待上涨停滞后尝试做空。
4. 关键注意事项 (Limitations)
数据源区别：
TradingView 的普通 Volume 是基于 K 线的近似计算（Close > Open 算买，Close < Open 算卖）。
这与专业的 Orderflow 软件（如 Exocharts）使用的逐笔 Tick 数据有一定误差，但在 1小时/4小时 级别上，趋势方向基本一致。
建议：如果你是做合约，请务必加载 合约图表（如 BTCUSDT.P），不要用现货图表看 CVD。
红绿点的陷阱：
不要一看到绿点就做空！ 在超级大单边行情（比如牛市主升浪）中，绿点会连续出现，价格会一直涨。
红绿点必须配合 关键支撑/阻力位 使用。如果在“半空中”出现绿点，往往意味着趋势加速，而不是反转。
参数调整：
默认 LinReg Length = 20。
如果你觉得反应太慢，可以改为 10 或 14。
如果你觉得假信号太多，可以改为 50，但这会牺牲灵敏度。
5. 快速检查清单 (Checklist)
在开单前，看一眼 CVD：
颜色：CVD 是绿的还是红的？和我想做的方向一致吗？
斜率：CVD 是在加速上升/下降，还是开始变平了？
背离：价格破位了，CVD 跟着破位了吗？如果没跟，就是假突破。
极值：有没有出现红点/绿点？如果出现了，是不是应该等回调再进场？
All Macro LevelsA comprehensive overlay indicator that displays key macro-level support and resistance zones using widely-followed moving averages across multiple timeframes.
Features
Bull Market Support Band (BMSB)
- Weekly 20 SMA and 21 EMA with customizable fill
- A popular indicator for identifying bull market trends - price holding above the band typically signals strength
Daily 12/21/25 EMA Bands
- Three daily EMAs (12, 21, 25) with fill between the outer bands
- Useful for tracking short-term momentum and trend direction
Long-Term Weekly Moving Averages
- 100-Week MA - Intermediate cycle support
- 200-Week MA - Major cycle support level
- 300-Week MA - Deep value zone
- Each MA can be configured as SMA or EMA
Customization
- Toggle each indicator group on/off independently
- Full color customization for lines, fills, and labels
- Adjustable line widths
- Optional custom symbol input to display levels from a different asset
- Real-time labels showing current values at chart edge
Use Cases
- Identify macro support/resistance levels
- Spot potential buy zones during corrections
- Confirm bull/bear market conditions
- Multi-timeframe analysis on a single chart
WolfgateThe Wolfpack Framework is my core intraday execution overlay for SPY and index futures.
This script plots:
9 EMA (white) – short-term momentum and micro pullback engine
21 EMA (yellow, dotted) – intraday trend backbone and bias filter
200 SMA (purple, dotted) – primary higher-timeframe trend reference
400 SMA (red, dotted) – macro trend and extreme mean-reversion anchor
VWAP (bright blue, thick) – institutional fair value for the current session
No auto-drawn ORB, no auto levels – traders mark those manually using their own playbook to keep the chart clean and intentional.
Pair this with a separate “Volume” indicator (standard volume columns) in the lower pane for full context.
Built for 0DTE / intraday options traders who want a fast, uncluttered framework they can execute from without thinking.
Linda Raschke 5 SMA Reversal [LuciTech]How This Indicator Works:
-5 SMA Tracking: Calculates a 5-period simple moving average and plots it on the chart.
-Extension Counter: Counts consecutive bars where price closes above or below the 5 SMA.
-BUY Signals (Green Up Arrow): Triggers when price closes BELOW the 5 SMA after 7+ consecutive closes ABOVE it—indicates a reversal opportunity into dynamic support.
-SELL Signals (Red Down Arrow): Triggers when price closes ABOVE the 5 SMA after 7+ consecutive closes BELOW it—indicates a reversal bounce setup.
-No Repainting: Signals only plot on confirmed bar closes; no repainting issues.
Linda Raschke's Core Principles:
-Extended Run = Imbalance: When price stays above/below the 5 SMA for 7+ bars, it's a one-sided market; mean reversion is likely.
-First Cross = Trigger: The first close back across the SMA after an extension is the reversal signal, not every touch.
-No Setup? No Trade: Without a prior extension or "three-bar balance" filter, a 5 SMA tag is noise. The model requires the prior momentum condition.
-Uptrend Buys: In uptrends, buy dips to the SMA (dynamic support) as long as the weekly/monthly trend is intact.
-Downtrend Fades: In downtrends, treat first rallies above the SMA as bounce fades into lower lows (especially after 14+ bars below).
EMA/SMA Crossover Signals📊 EMA/SMA Crossover Signals
A professional trading indicator that identifies golden and death crosses between a customizable EMA and SMA with clear BUY/SELL labels displayed directly on your chart.
🎯 Key Features:
✅ Customizable Moving Averages - Adjust both EMA and SMA periods to match your trading strategy
✅ Clear Signal Labels - Large, color-coded "BUY" and "SELL" labels that are impossible to miss
✅ Adjustable Label Positioning - Control the vertical distance of signal labels from price action
✅ Professional Color Customization - Change colors for both moving averages and signals to match your theme
✅ Label Size Options - Choose from 4 different sizes (Tiny, Small, Normal, Large)
✅ Audio Alerts - Get notified instantly when crossovers occur
✅ Overlay Display - Signals appear directly on your price chart for better context
📈 How It Works:
🟢 BUY Signal: Triggered when the EMA crosses above the SMA (bullish crossover)
🔴 SELL Signal: Triggered when the EMA crosses below the SMA (bearish crossover)
⚙️ Customizable Settings:
Moving Averages:
- EMA Period (Default: 8)
- SMA Period (Default: 200)
Colors:
- EMA Color
- SMA Color
- Buy Signal Color
- Sell Signal Color
Signal Settings:
- Signal Vertical Offset
- Label Vertical Offset
- Label Size
💡 Best For:
- Day Trading (1-5 min timeframes)
- Swing Trading (4H-Daily)
- Trend Following Strategies
- Identifying momentum shifts
- Confirming market structure changes
🔔 Perfect for traders using ICT, Wyckoff, and institutional trading methodologies
Use this indicator as part of your complete trading system. Always combine with proper risk management and additional confluence factors.
Multi EMA (10)Allows you to add and configure up to 10 EMAs to your chart with a single indicator. Enjoy.
All of MAsCustom indicator with my favorite multiple MAs.
Can switch to different timeframe source.
Default SMAs:
9
20
50
50 @ 2min
200
200 @ 2min
400 @ 2min
800
Aydan ScalperBy when EMA 8 cross EMA 21 from Below to Abouve and SELL when EMA 21 cross EMA 8 from Abouve to Belove
