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Vilantro Flux Capacitor (Waddah Attar Explosion (WAE))The Vilantro Flux Capacitor is a significant evolution of the classic Waddah Attar Explosion (WAE). While the original WAE is legendary, it was built for a slower era. Modern markets—especially Crypto and Gold (XAUUSD)—are faster, noisier, and more prone to "fake-outs." This indicator rebuilds the engine from the ground up to solve the two biggest problems traders face: Lag and Choppy Markets. Why Use This Indicator? Most trend indicators are too slow (getting you in late) or too sensitive (getting you killed in the chop). The Vilantro Flux solves this by combining Three Technologies: Speed (TEMA Engine): We replaced the standard MACD/EMA smoothing with TEMA (Triple Exponential Moving Average). This reduces lag significantly, giving you entries 1-2 bars earlier than standard indicators. Protection (ADX Chop Filter): This is the game-changer. If the trend strength (ADX) is below the threshold, the bars turn GRAY. This tells you to sit on your hands and avoid trading during low-momentum sideways chop. Validation (Volume Gate): A breakdown without volume is often a trap. This script automatically "dims" (fades) the signal bars if the volume is below the 20-period average. Key Features 🚦 Smart Color Coding: Neon Green/Red: Strong, valid trend. Gray: Market Chop (No Trade Zone). Faded/Transparent: Low Volume (Caution). ⚡ TEMA-Based MACD: Faster reaction to price reversals. 📊 Live InfoBox: A professional dashboard in the corner displaying real-time Trend status, Explosion power, and ADX strength. 🛡️ Hull DeadZone: Uses Hull Moving Average for the "Dead Zone" calculation, providing a smoother and more accurate baseline noise filter. How to Trade 🔹 The BUY Signal (Long) Bar Color: Must be Bright Green. Explosion: The bar must cross ABOVE the Gold Line (The Explosion Threshold). Confirmation: The bar must be outside the Blue DeadZone. No Chop: Ensure the bar is NOT Gray. 🔻 The SELL Signal (Short) Bar Color: Must be Bright Red. Explosion: The bar must cross ABOVE the Gold Line. Confirmation: The bar must be outside the Blue DeadZone. No Chop: Ensure the bar is NOT Gray. Settings Guide Sensitivity: Controls how sensitive the MACD impulse is. (Default: 150) Filter Low Volume: If enabled, bars with weak volume become transparent. ADX Threshold: The level below which the market is considered "Choppy." (Default: 10). Raise this to 20 or 25 for stricter filtering. DeadZone Length: Controls the baseline noise filter. Credits & Attribution Original Concept: Waddah Attar (WAE). Modernization & Code: Vilantro (www.vilantro.com). Disclaimer: This tool is for educational purposes. Always manage your risk.
Penunjuk Pine Script®
oleh Vilantro
CopyPipe Trading Dashboard - Multi-Indicator Signal Panel 🚀 CopyPipe Trading Dashboard A **free, all-in-one trading dashboard** that displays key indicators and market information in a clean, easy-to-read panel on your chart. #### ✨ Features: 📊 **Signal Summary Panel** - Overall market bias (Bullish/Bearish/Neutral) - Real-time indicator readings - Current trading session display - Daily high/low levels 📈 **RSI Analysis** - Customizable period (default 14) - Overbought/Oversold detection - Color-coded status 📉 **MACD Tracking** - Standard 12/26/9 settings (customizable) - Bullish/Bearish crossover detection 📏 **Moving Averages** - Fast & Slow MA with trend detection - Choose between SMA or EMA - Visual crossover on chart 🌍 **Trading Sessions** - London, New York, Asia, Sydney - Subtle background highlighting - Know when the big players are active 📐 **Key Levels** - Previous day's high/low - Previous close - Great for support/resistance #### 🔔 Built-in Alert Templates This indicator comes with **pre-configured alert conditions** formatted for webhook automation: - MA Bullish/Bearish Cross - RSI Overbought/Oversold - Strong Confluence Signals (multiple indicators aligned) Alert messages are formatted as **JSON** - perfect for connecting to trading automation platforms. --- #### ⚡ Want to Auto-Execute These Signals? **CopyPipe** connects your TradingView alerts directly to MetaTrader 4/5. ✅ Set up alerts on this indicator ✅ Signals execute automatically in MT4/MT5 ✅ No coding required ✅ Works with any broker **Learn more:** copypipe.io --- #### 📖 How to Use 1. Add the indicator to your chart 2. Customize settings in the indicator panel 3. Position the info panel where you prefer 4. Set up alerts using the built-in conditions 5. (Optional) Connect to CopyPipe for auto-execution #### ⚙️ Settings - **Dashboard Settings:** Panel position, size, visibility - **RSI Settings:** Length, overbought/oversold levels - **MACD Settings:** Fast, slow, signal periods - **Moving Averages:** Type (SMA/EMA), lengths - **Sessions:** Toggle which sessions to highlight - **Key Levels:** Daily high/low, previous close - **Colors:** Customize bullish/bearish colors --- Made with ❤️ by the CopyPipe team copypipe.io
Penunjuk Pine Script®
oleh cryptopicasso
Dual HTF RSI .88x Nanny v1.0Dual HTF RSI .88x Nanny 🦆🥒 English Description: The "Nanny" is a professional control tool designed for traders using deep retracement strategies like the .886 Sniper. This indicator monitors two different High-Timeframe (HTF) RSI values simultaneously to protect you from entering trades during high-risk market conditions such as overbought "FOMO" peaks or oversold "Crash" drops. Why use the Nanny? Even a perfect technical setup on lower timeframes can fail if the Daily or 4H RSI is at extreme levels. This indicator provides a clear visual safeguard, ensuring you only trade when the overarching market momentum is in a "Safe Zone." ⚠️ IMPORTANT NOTE: Asset volatility varies significantly between BTC, ETH, and Altcoins. Optimal RSI thresholds and Timeframes must be determined per asset via backtesting. Do not rely solely on default values; adjust them according to your specific asset analysis. 🎯 Key Features: 🛡️ Dual HTF Guard: Track two timeframes at once (e.g., 4H and Daily). 📊 Compact UI: Two-column vertical layout designed for maximum readability. 📏 UI Offset: Integrated spacer to prevent overlap with standard chart labels. 🦆/🥒 Visual Feedback: Simple Emoji-based status (Duck = Safe, Cucumber = Risk). 🦆/🥒 Symbolism: Duck (🦆): RSI is within your safe boundaries. Cucumber (🥒): Market is either overextended or crashing. ⚙️ Settings: Fully customizable RSI periods, thresholds, and timeframes. Text size is set to "Normal" for best compatibility across all devices. 🇩🇪 Deutsche Beschreibung: Die "Nanny" überwacht zwei High-Timeframe (HTF) RSIs gleichzeitig, um dich vor "Crash-Gefahr" oder "FOMO-Fallen" zu schützen. Ideal für Sniper-Strategien. ⚠️ WICHTIGER HINWEIS: Die Volatilität unterscheidet sich stark zwischen BTC und Altcoins. Bitte ermittelt eure optimalen RSI-Werte und Timeframes pro Asset durch Backtesting. 🎯 Features: 🛡️ Dual Guard: 2 Zeitrahmen gleichzeitig im Blick. 📊 UI: Platzsparendes 2-Spalten Layout mit Abstand zum oberen Rand. 🦆/🥒 Logik: Ente = Safe Zone, Gurke = Risiko. Support: Von Horsti mit viel 🦆 ❤️ für die VIP Crypto Community gemacht.
Penunjuk Pine Script®
oleh thorstmann83
ICT KillZones + ICT NY Midnight Open "YECHALALE"This powerful indicator combines: - Asia, London, NY AM, and NY PM sessions with configurable colors and kill zones. - Automatic alerts when price touches session kill zone highs or lows. - NY Midnight Open line, drawn both vertically and horizontally, DST-adjusted to always align with 00:00 New York time. - Ideal for traders following ICT/Smart Money Concepts, spotting liquidity sweeps, session overlaps, and potential reversal zones. - Fully customizable to match your trading style.
Penunjuk Pine Script®
oleh tradedil4u
Gabriel's RSI & MACD-BK⚔️📊 Gabriel’s RSI & MACD — BK Tactical Dashboard 📊⚔️ All glory to G-d — the true source of wisdom, restraint, and right timing. This work stands on the foundation built by GabrielAmadeusLau: www.tradingview.com The engine is his. The upgrade is mine: an institutional-grade dashboard/info-table with hover tooltips — a war-room briefing layer that makes the original outputs faster to read under pressure. This is not a “buy/sell generator.” It’s a discipline tool: it compresses multiple truths into one glance so you can confirm the environment, refuse noise, and execute clean. 🧠 What it is (big picture) Gabriel’s original framework is a multi-oscillator intelligence stack: • RSI with adaptive weighting options (volume/volatility toggles) • RSI smoothing with optional Bollinger structure • MACD normalization + histogram signals • Stochastic layer (Price / CVD / RSI source modes) • CCI and %R overlays • Optional divergence detection BK’s addition is a command-center interface: • A meter-based “Ultimate Dashboard” that summarizes the same underlying logic • Institutional-style tooltips that explain: state, velocity, thresholds, and an action plan • Faster decisions, less chart clutter — without changing the core engine 🎛️ What the BK Dashboard adds (without altering the core) 1) “One-glance” posture Bias, MTF alignment, volatility regime, institutional pressure, exhaustion, breakout context, smart-money detection, momentum, CVD divergence, and delta extremes. 2) Hover tooltips (the briefing) Each meter expands into: • The math context (what moved, by how much, and why) • The state machine (what condition you’re in) • A playbook (what to do, what not to do) 3) Preset system (optional) Market presets can override manual settings for quicker tuning across SPX / commodities / forex / crypto. 🧭 How to use it (doctrine) 1) Start with Bias + MTF If timeframes don’t agree, reduce size or stand down. Alignment is permission; mixed signals are a trap. 2) Treat Volatility as position sizing law High volatility isn’t “exciting” — it’s a tax on mistakes. Let the volatility meter decide your leverage, not your mood. 3) Use Institutional + Delta as confirmation When pressure and flow agree, the market is telling the truth. When they fight each other, it’s usually distribution/absorption — wait. 4) Exhaustion & Divergence are warnings, not entries They tell you “fuel is changing,” not “push the button.” Let price confirm before you commit. 5) Peaks/Valleys are context, not targets They mark zones where decisions cluster. Your job is to see whether the market accepts or rejects those zones. 🧱 Non-negotiable rule This tool doesn’t make you right. It makes you harder to fool. Respect to GabrielAmadeusLau — the originator. BK’s dashboard is a lens, not a takeover. 📜 Proverbs lens (placed at the end, as doctrine) • Proverbs 18:17 — “The first account sounds right… until it’s cross-examined.” That’s confluence. Don’t trade the first story your chart tells you. Let multiple meters testify before you move. • Proverbs 14:15 — The naive believes everything; the prudent gives thought to his steps. Tooltips exist for this: slow down, check the conditions, then step. • Proverbs 16:32 & 25:28 — Self-control is strength; a man without restraint is an exposed city. If you can’t size down in chop, you’re not trading — you’re leaking. • Proverbs 21:31 — The horse is prepared for the day of battle, but victory belongs to the Lord. Your job is preparation: alignment, confirmation, risk. Outcome is never owed — only earned in process. Read the meters like counsel, not like fortune-telling. Confirm. Wait. Strike clean.
Penunjuk Pine Script®
oleh Ki11a_B
Entropy Divergence (No Repaint) [PhenLabs]📊 Entropy Divergence (No Repaint) Version: PineScript™ v6 📌 Description The Entropy Divergence Scalper (EDS) is a sophisticated trading indicator that applies information theory to market analysis. By calculating Shannon Entropy on price returns, it identifies periods when market behavior becomes more predictable and orderly—the ideal conditions for divergence-based trading. Traditional divergence indicators generate signals regardless of market conditions, leading to many false signals during chaotic, high-entropy periods. EDS solves this by acting as an intelligent filter: it only triggers signals when entropy drops below your specified threshold, indicating that the market has entered a more structured, tradeable state. This indicator is built with a strict non-repainting guarantee. All signals use barstate.isconfirmed and only appear after bar close, giving you reliable signals you can trust for live trading. 🚀 Points of Innovation Shannon Entropy integration measures market randomness using information theory mathematics Dual divergence engine detects both RSI and Volume divergences simultaneously Entropy-filtered signals eliminate noise by only triggering in low-entropy (predictable) market conditions 100% non-repainting architecture ensures all signals are confirmed and historically accurate Multi-layer confirmation combines entropy state, RSI divergence, and volume divergence for higher probability setups Dynamic color visualization provides instant visual feedback on current market entropy state 🔧 Core Components Shannon Entropy Calculator: Bins price returns into histograms and calculates entropy using H(X) = -Σ p(x) × log₂(p(x)) RSI Divergence Detector: Identifies when price makes lower lows while RSI makes higher lows (bullish) or price makes higher highs while RSI makes lower highs (bearish) Volume Divergence Detector: Spots increasing volume interest at price lows (bullish) or decreasing conviction at price highs (bearish) Pivot Detection System: Uses configurable lookback periods to identify and track price, RSI, and volume pivots Signal Classification Engine: Labels signals as RSI, VOL, or RSI+VOL based on which divergences triggered 🔥 Key Features Entropy Threshold Control: Set your preferred entropy level (default 2.5) to filter out signals during chaotic market periods Configurable Smoothing: EMA smoothing on entropy values reduces noise while maintaining signal responsiveness Flexible Pivot Detection: Adjust left/right lookback bars to tune sensitivity for different trading styles Divergence Search Range: Control how far back the indicator looks for divergence patterns (20-200 bars) Minimum Pivot Distance: Prevents false signals from pivots that are too close together Complete Alert System: Four alert conditions for bullish signals, bearish signals, any signal, and low entropy zone entry 🎨 Visualization Dynamic Entropy Line: Color gradient shifts from green (low entropy/tradeable) to orange (high entropy/chaotic) Entropy Threshold Line: Dashed reference line shows your configured entropy threshold Low Entropy Zone Fill: Background highlighting indicates when market is in tradeable low-entropy state Scaled RSI Plot: RSI overlay scaled to fit the entropy pane for easy correlation analysis Normalized Volume Bars: Volume displayed as columns normalized against 20-period average Signal Labels: Clear LONG/SHORT labels with divergence type (RSI, VOL, or RSI+VOL) Information Table: Real-time display of entropy value, state, RSI, and current signal status 📖 Usage Guidelines Entropy Lookback Period — Default: 20, Range: 5-100 — Controls how many bars are used for entropy calculation; higher values provide smoother readings but slower response Histogram Bins — Default: 10, Range: 5-50 — Number of bins for probability distribution; more bins provide finer granularity Low Entropy Threshold — Default: 2.5, Range: 0.5-4.0 — Signals only trigger when entropy drops below this value; lower settings are more selective Entropy Smoothing — Default: 3, Range: 1-10 — EMA smoothing applied to raw entropy values for noise reduction RSI Length — Default: 14, Range: 5-50 — Standard RSI calculation period Pivot Lookback Left — Default: 5, Range: 2-20 — Bars to the left for pivot detection Pivot Lookback Right — Default: 2, Range: 1-10 — Bars to the right for pivot confirmation; lower values produce faster signals Divergence Search Range — Default: 60, Range: 20-200 — Maximum bars to look back for divergence comparison Min Bars Between Pivots — Default: 5, Range: 3-30 — Minimum distance between pivots for valid divergence detection ✅ Best Use Cases Scalping during low-volatility consolidation periods when entropy drops and price becomes more predictable Swing trade entry timing by waiting for divergence signals in low-entropy market conditions Trend reversal identification when both RSI and Volume divergences align with low entropy readings Multi-timeframe confirmation by checking entropy state on higher timeframes before taking signals Filtering existing strategies by adding entropy as a confirmation layer to reduce false signals ⚠️ Limitations Signals appear with a delay due to pivot confirmation requirements (pivotLookbackRight bars after pivot forms) May generate fewer signals during strongly trending markets where entropy remains elevated Entropy threshold requires optimization for different instruments and timeframes Not designed for high-frequency trading due to bar-close confirmation requirement Divergences can fail in extremely strong trends where momentum overwhelms the signal 💡 What Makes This Unique First indicator to combine Shannon Entropy filtering with multi-factor divergence detection Information theory approach provides mathematical foundation for identifying tradeable market states Triple confirmation requirement (low entropy + divergence + bar close) significantly reduces false signals Non-repainting guarantee makes it suitable for strategy backtesting and live trading Open-source PineScript v6 code allows traders to understand and customize the methodology 🔬 How It Works Step 1 — Entropy Calculation: The indicator calculates logarithmic returns, bins them into a histogram, and computes Shannon Entropy to measure market randomness Step 2 — Entropy Filtering: When smoothed entropy drops below the threshold, the market is considered to be in a tradeable low-entropy state Step 3 — Pivot Detection: The system continuously tracks price, RSI, and volume pivots using configurable lookback parameters Step 4 — Divergence Analysis: When a new pivot is confirmed, the indicator compares it against previous pivots to detect bullish or bearish divergences Step 5 — Signal Generation: A final signal only triggers when low entropy conditions coincide with a confirmed divergence pattern on a closed bar 💡 Note: This indicator is designed for educational purposes and technical analysis. Always use proper risk management and never risk more than you can afford to lose. The non-repainting guarantee means signals will only appear after bar close—watch the indicator in real-time to verify this behavior. For optimal results, consider combining EDS signals with support/resistance levels and overall market context.
Penunjuk Pine Script®
oleh PhenLabs
DCA VIX Fear GaugeThis indicator displays the CBOE Volatility Index (VIX), known as the "fear gauge," in a separate pane below your chart, scaled to provide a comparable view to price movements. It assists in gauging market sentiment: elevated VIX levels often reflect heightened fear and volatility, while lower levels indicate complacency. The line dynamically changes color based on VIX thresholds (green for low volatility (<20), orange for moderate (20-30), and red for high fear (>30)) offering visual cues for potential market shifts or trading opportunities (e.g., high VIX may highlight panic-driven dips in equities). Usage : Suitable for indices like SPX or forex pairs. Optimal on daily/weekly timeframes; VIX updates during US market hours. Inputs : 'Scaling Lookback Period' fine-tunes alignment with price data (higher values for broader context). Limitations : VIX represents implied volatility for the S&P 500; data may hold steady on non-trading days. For informational use only (integrate with additional analysis). Tested on: SPX, NDX (scales automatically to fit the pane).
Penunjuk Pine Script®
oleh DCAChampion
bezgincan_the power of3( VVM)Universal Alpha Engine: The Power of 3 (VVM) Description: The market is not just about price. You need to see the "fuel" behind the price. Unlike traditional indicators, Universal Alpha Engine combines three different dimensions in a mathematical synthesis: Momentum: Measures the speed of price change using ROC. Fuel (Volume): Checks whether money is actually flowing in or out through Money Flow Index (MFI) integration. Pressure (Volatility): The standard deviation coefficient distinguishes whether the movement is "real" or "noise." Unique Features: Volatility Filter: If volatility is low (market is flat), the oscillator narrows, protecting you from false signals. Color-Coded Histogram: You can see not only the direction but also whether the momentum is increasing or decreasing from the color tones. Alpha Signals: Triangles below the histogram indicate reversal signals in extreme regions. Usage Recommendation: Green triangles below the zero line represent the start of a voluminous and strong recovery. Dark red areas above the 15 level are "fatigue" zones; profit taking may be necessary.
Penunjuk Pine Script®
oleh mehmetbezgincan
Institutional RSI Decision EngineInstitutional RSI Decision Engine (IRDE) The Institutional RSI Decision Engine (IRDE) is a decision-support indicator, not a trading strategy and not a signal generator.It is designed to help discretionary traders assess market readiness, pressure dynamics, and contextual alignment before considering execution.This tool does not predict price, place trades, or provide buy/sell signals. 🔍 What IRDE Evaluates IRDE combines multiple institutional-style filters to classify the quality of the current market environment: • RSI Pressure Exhaustion Uses a multi-speed RSI ensemble (5 / 9 / 14) to measure exhaustion strength, not single overbought/oversold signals. • Pressure State Identifies whether pressure is BUILDING, FADING, or NEUTRAL to avoid late reactions. • Trend Context Validates exhaustion direction using EMA-based structural alignment. • Institutional Location Checks proximity to: Daily High Daily Low VWAP using ATR-based tolerance. • Volatility Regime Classifies market conditions as ACTIVE, NORMAL, or DEAD using ATR expansion/contraction. • Higher-Timeframe Confirmation Re-evaluates the same RSI pressure logic on a user-defined higher timeframe. 🧩 Readiness vs Signals (Important) IRDE does NOT generate entries. Instead, it answers questions such as: Is the market structurally prepared? Is exhaustion pressure meaningful or weak? Is price reacting at a relevant location? Is volatility supportive or suppressive? READY dots indicate structural preparedness only — not trade entries. 📊 Setup Quality Scoring IRDE produces a Setup Quality Score (A / B / C) based on: Pressure strength Trend alignment Location validity HTF alignment Volatility regime Pressure behavior (building vs fading) This score represents contextual quality, not probability. 🖥️ User Interface The on-chart table provides full transparency, displaying: RSI pressure and direction HTF alignment Volatility regime Setup grade and score Reasoning behind the grade Market readiness state A compact UI mode is included for cleaner charts. ⚠️ Important Disclaimers • This is not a trading strategy • This script does not place trades • READY conditions are not entry signals • No indicator guarantees profitability • Always apply independent risk management Designed for traders who understand market structure and discretionary execution.
Penunjuk Pine Script®
oleh Market_Logic_India
Directional Movement Index - DMIThis Pine Script is a Directional Movement Index (DMI) indicator for TradingView that provides a comprehensive visualization of trend direction and strength with several enhanced visual features. 📊 Core Indicator Components: 1. Directional Indicators: +DI (Green line): Measures upward trend momentum -DI (Red line): Measures downward trend momentum ADX (Blue line, optional): Measures overall trend strength (can be toggled on/off) 2. Key Calculations: Uses built-in ta.dmi() function to calculate all three components isBull condition: Determines current bias based on which DI line is higher Bull signal: When +DI crosses above -DI Bear signal: When +DI crosses below -DI 🎨 Visual Design Features: 1. Chart Plotting: Thick lines (width=3) for +DI and -DI for better visibility Color-coded plots: Green (+DI), Red (-DI), Blue (ADX) 2. Background Highlighting: Light green background on bullish crossovers Light red background on bearish crossovers Uses 60% transparency for subtle visual cues 3. Real-time Status Panel: Fixed table in the middle-right of the chart Displays "↑ Bullish" (green) or "↓ Bearish" (red) in huge text Updates on every bar to show current market bias 4. Line Labels: Text labels at the right edge identifying each line Color-matched to their respective indicators ADX label only appears when ADX is enabled ⚙️ User Controls: ADX toggle: Show/hide the ADX line DI Length: Adjust calculation period (default 17) ADX Smoothing: Fine-tune ADX smoothing (default 1) 📈 Trading Application: Trend Identification: Which direction has stronger momentum Signal Generation: Crossovers indicate potential trend changes Trend Strength: ADX (when shown) indicates if a trend is strong (>25) or weak Visual Clarity: Multiple visual cues make signals easy to spot 🖥️ Display Logic: The script intelligently handles what to display based on user settings When ADX is disabled, it plots na (not available) to avoid scale distortion All visual elements update dynamically with each new bar 🎯 Unique Aspects: Multi-layered visualization: Combines lines, background colors, labels, and a status table Clean separation: Uses box-drawing characters to organize code sections Right-edge labeling: Makes indicator identification clear even on crowded charts Immediate bias recognition: The large text table provides instant market bias assessment This indicator is particularly useful for traders who want a clear, visually rich representation of trend direction without needing to interpret multiple lines simultaneously. The color-coded background and status panel provide quick visual confirmation of market conditions.
Penunjuk Pine Script®
oleh Tiagorocha1989
CMO Checklist (MHM)CMO Checklist is a manual trading checklist indicator designed to help traders confirm market conditions step by step. This tool is fully manual and does NOT generate signals. It is intended for discretionary traders who follow structured setups such as ICT / CMO-style execution models. Features: • Clean and compact checklist table • Manual check / uncheck via inputs • Fixed position (top-right) • No repaint • Pine Script v6 compatible This indicator does not generate trading signals. It is a visual checklist only. • Manual • Checklist • No signals • Educational / Trading tool
Penunjuk Pine Script®
oleh Mohammad_MarketMavericks
GCM Apex Predator AlgoTitle: GCM Apex Predator Algo Overview The GCM Apex Predator is a high-performance, multi-engine trading system designed for traders who demand precision and clarity. Whether you are a fast-paced scalper or a patient swing trader, this algorithm adapts to market conditions using a sophisticated "Apex Score" momentum engine combined with institutional-grade volume and trend filters. Key Features • Triple Engine Logic: Switch seamlessly between Scalper Mode (Fast), Trend Mode (Swing), or a Hybrid setup that captures both micro-moves and macro-trends. • Apex Score Momentum: A proprietary loop-based engine that calculates the "persistence" of price action. It filters out "fake" moves by ensuring momentum is backed by structural strength. • Institutional Filters: Includes built-in ADX Trend Power and Relative Volume filters to keep you out of "chop" and only in high-probability trades. • Dynamic Risk Management: Automatically calculates and draws Entry, Stop Loss (SL), and Take Profit (TP) zones using ATR-based volatility, giving you a professional "desk" feel. • Corporate Dashboard: A real-time HUD (Heads-Up Display) that monitors Trend Bias, ADX Power, Apex Momentum, and VWAP positioning at a glance. How to Use 1. Select Your Mode: Use the "Scalper Mode" for lower timeframes (1m, 5m) or "Trend Mode" for higher timeframes (1h, 4h). 2. The "Sniper" Signal: Look for the Gold Circle symbols. These represent "Sniper" entries where all engines (Trend, Volume, and Apex) align for a high-conviction move. 3. Market Structure: Pay attention to the dashed reversal lines. These project potential structural shifts based on fast-reversal HMA logic. Alerts This indicator is fully optimized for Any alert() function call. You can set one single alert to receive detailed notifications like: • 🎯 SNIPER LONG: BTCUSD @ 65000 • ⚡ SCALP BUY: EURUSD @ 1.0850 Disclaimer Trading involves significant risk. This tool is for educational and technical analysis purposes. Past performance does not guarantee future results.
Penunjuk Pine Script®
oleh uniGram
Trend Targets Oscillator- Webhooks v1.8.3Trend Targets Oscillator - Webhooks v1.8.3 Overview This technical indicator combines a momentum-based oscillator with statistical analysis of historical price behavior to generate trading signals and calculate position management levels. The indicator analyzes past price patterns to establish data-driven thresholds for entries, exits, and stop placement. Key Components: • Weighted momentum oscillator with trend-following characteristics • Statistical percentile analysis for take profit level calculation • Dynamic stop loss placement based on price structure and volatility • Adaptive ranges (ATR-based) for dynamic support/resistance visualization • Real-time performance tracking and historical signal analysis Critical Disclaimer: This indicator performs technical analysis on historical data. Past patterns, statistics, and performance do not predict, indicate, or guarantee future results. All trading carries substantial risk of loss. This tool does not provide investment advice or trading recommendations. Important Note: Calculations use standard OHLC data; results may differ on non-standard chart types (Heikin Ashi, Renko, Kagi, Point & Figure, Range). Technical Methodology 1. Momentum Oscillator Core Approach: The oscillator employs a weighted Relative Strength Index (RSI) methodology combined with Quantitative Qualitative Estimation (QQE) trailing stop concepts. This creates a momentum indicator that adapts to trending conditions while maintaining sensitivity to reversals. How It Functions: • Calculates directional price momentum using weighted price changes • Applies directional bias to amplify movements aligned with the prevailing trend direction • Uses a dynamic trailing stop mechanism adapted from QQE methodology to identify potential trend reversals • Applies exponential moving average smoothing to reduce market noise • Operates within configurable overbought/oversold threshold zones (default: 70/30) Signal Generation Process: • BUY signals occur when the oscillator line crosses above its trailing stop level • SELL signals occur when the oscillator line crosses below its trailing stop level • All signals confirm only at bar close, eliminating mid-bar fluctuations and repainting Technical Parameters (All Configurable): • RSI Length (default: 100 bars) - Controls the period for momentum calculation • Stop Multiplier (default: 2.5) - Adjusts the sensitivity of the trailing stop mechanism • Smoothing Length (default: 6 bars) - Reduces noise through exponential smoothing • Directional Weight (default: 6.4) - Amplifies trend-aligned price movements • Overbought/Oversold Levels (default: 70/30) - Defines momentum extreme zones What This Component Does: This component identifies potential trend changes through momentum analysis, generates entry signals based on the interaction between an oscillator and a trailing stop, filters those signals using overbought and oversold zones, and confirms all signals at bar close to help prevent repainting. What This Component Does Not Do: This component does not predict future price direction or guarantee signal accuracy or profitability, it cannot eliminate false signals entirely, and it will not perform equally well across all market conditions. 2. Statistical Take Profit Calculation Methodology: Rather than using fixed risk-reward ratios, this indicator analyzes the Maximum Favorable Excursion (MFE) from historical signals to establish statistically-derived take profit levels using percentile (quantile) analysis. Maximum Favorable Excursion (MFE) Concept: MFE measures how far price moved in the favorable direction after each historical signal before either reversing or hitting the stop loss. This creates a dataset of historical "best case" price movements for each direction. Statistical Process: • Maintains separate historical datasets for LONG signals and SHORT signals (markets behave differently in uptrends vs downtrends) • Tracks MFE data from the last N signals (configurable, default: 20 signals per direction) • Calculates percentiles (quantiles) from this historical MFE dataset • Uses these percentiles to determine take profit distance from entry Three Statistical Thresholds: TP1: • Default: 66th percentile of historical MFE data • Meaning: Based on historical analysis, approximately 66% of similar past signals moved at least this far in the favorable direction • Note: This is a statistical observation of past behavior, not a prediction that 66% of future signals will reach this level TP2: • Default: 50th percentile (median) of historical MFE data • Meaning: Represents the middle point of historical favorable price movements • Note: Past median values do not indicate future median performance TP3: • Default: 30th percentile of historical MFE data • Meaning: Based on historical analysis, approximately 30% of similar past signals moved at least this far Important Technical Notes: • Percentile thresholds are fully configurable in settings (you can adjust 66/50/30 to any values) • Requires minimum historical data (20+ signals per direction) for statistical relevance • Falls back to configurable risk-reward ratio (default 1.5R) when insufficient historical data exists • Recalculates dynamically as new signals complete and add to the historical dataset • "R" represents Risk units (distance from entry to stop loss) What This Component Does: This component analyzes historical price behavior patterns and calculates statistical percentiles from past favorable movements to establish take-profit levels based on observed historical data. It adapts to the specific instrument and timeframe being analyzed, and it separates its analysis for long versus short signals. What This Component Does Not Do: This component does not predict where future price will reach or guarantee any specific hit rate or success percentage, and it cannot ensure profits on any individual trade. It also does not account for changing market conditions or regime shifts, and it does not replace the need for proper risk management and position sizing. 3. Dynamic Stop Loss Placement Methodology: Stop loss calculation combines Donchian Channel logic with Average True Range (ATR) volatility adjustment to create stops that respect recent price structure while accounting for normal market fluctuations. How It Functions: Donchian Channel Component: • Identifies the highest high and lowest low over a specified lookback period (default: 20 bars) • For LONG signals: Uses the lowest low as the base for stop placement • For SHORT signals: Uses the highest high as the base for stop placement • This respects recent price structure and support/resistance levels ATR Volatility Buffer: • Calculates the Average True Range over 14 periods to measure current volatility • Adds a configurable buffer (default: 1.0 × ATR) beyond the Donchian extreme • For LONG signals: Stop = Donchian Low - (ATR × Buffer Multiplier) • For SHORT signals: Stop = Donchian High + (ATR × Buffer Multiplier) • This prevents premature stop-outs from normal price volatility Technical Parameters (All Configurable): • Donchian Length (default: 20 bars) - Period for identifying recent price extremes • SL Buffer Multiplier (default: 1.0 × ATR) - Distance beyond Donchian extreme (0.0 to 5.0) What This Component Does: This component places stops based on recent price structure using Donchian extremes, adjusts them to reflect current volatility via an ATR-based offset, and adapts dynamically as conditions change. It includes a configurable buffer to suit different trading styles and is designed to respect key technical support and resistance levels. What This Component Does Not Do: This component does not guarantee that a stop loss will not be hit, nor can it prevent slippage, gaps, or other execution-related risks. It does not ensure a favorable risk-reward outcome on every trade, does not account for fundamental events or news releases, and it does not replace the need for proper position sizing and overall capital management. 4. Adaptive Ranges (ATR-Based) Methodology: The indicator includes an optional overlay that displays adaptive support and resistance zones based on Average True Range (ATR) volatility measurements. These ranges adjust dynamically as price moves beyond volatility thresholds. How It Functions: • Calculates an adaptive moving average that shifts when price moves beyond ATR-based thresholds • Displays five levels: Upper Resistance 2 (R2), Upper Resistance 1 (R1), Middle (AVG), Lower Support 1 (S1), Lower Support 2 (S2) • Zones are created using ATR multiples above and below the adaptive average • When price breaches the outer boundaries significantly, the entire range structure recalculates and repositions Technical Parameters (All Configurable): • Length (default: 50 bars) - Period for ATR calculation • Factor (default: 6.0) - Multiplier for ATR to set zone width • Source (default: close) - Price data used for calculations • Show (default: ON) - Toggle visibility Purpose and Use: • Provides context for potential reversal or consolidation areas • Can complement the statistical TP levels by showing additional resistance/support • Helps visualize market volatility expansion and contraction • Creates dynamic zones that adapt to changing volatility conditions What This Component Does: This component displays volatility-adjusted support and resistance zones, adapt dynamically to price movement and changing volatility, providing visual context for potential reversal areas. The segments update when price moves beyond defined threshold boundaries. What This Component Does Not Do: This component does not predict future support or resistance levels, does not guarantee that reversals will occur at zone boundaries, or replace traditional support and resistance analysis. It also does not account for fundamental catalysts or news-driven events that can override technical behavior. Visual Components and Displays Oscillator Panel (Lower Pane) The oscillator displays in a separate pane below the price chart with the following elements: • Main Oscillator Line (teal/green): Shows current momentum state • Trailing Stop Line (purple): Dynamic support/resistance level that triggers signals • Overbought/Oversold Zones: Horizontal threshold lines (default 70/30) • Historical Signal Markers: BUY (green triangles up) and SELL (red triangles down) where signals occurred Reading the Display: - When oscillator crosses above trailing stop = BUY signal generated - When oscillator crosses below trailing stop = SELL signal generated - Oscillator in upper zone (>70) = momentum in overbought territory - Oscillator in lower zone (<30) = momentum in oversold territory On-Chart Overlays (Price Chart) For each historical signal, the indicator displays visual overlays on the main price chart: Entry Line (Yellow): - Horizontal line showing the price level where the signal was generated - Helps identify the actual entry point Stop Loss Line (Red): - Horizontal line showing the calculated stop loss level - Based on Donchian + ATR methodology described above Three Take Profit Zones (Green for LONG / Red for SHORT): - TP1 Zone: Lightest shade - conservative percentile target - TP2 Zone: Medium shade - moderate percentile target - TP3 Zone: Darkest shade - aggressive percentile target - Zones displayed as shaded rectangular areas extending forward from signal Visual historical overlays: This provides visual feedback on historical signal performance and helps assess whether the statistical methodology is appropriate for the current instrument and timeframe. These visual overlays allow you to see: These visual overlays allow you to see where historical signals occurred and at what price, where stops were placed according to the methodology, and where statistical take-profit levels were calculated. They also show which targets were reached versus not reached, how price behaved relative to the statistical projections, and the adaptive support/resistance context that frames overall market structure. Statistics Table (Real-Time Analysis) The indicator displays a comprehensive statistics table (typically in the upper-right corner) showing performance metrics for historical signals. Table Header: "Historical stats (not predictive) under current settings" Performance Metrics (Separate rows for BUY and SELL): For the Last N Signals (default: last 20 BUY and last 20 SELL separately): Column Headers: • Signal: Direction (BUY or SELL) • Win: Count of signals where at least one take profit was reached before stop loss • Loss: Count of signals where stop loss was hit before any take profit was reached • TP1 Hit: Percentage of signals that reached the first take profit level • Δ1%: Average percentage distance from entry to TP1, calculated only for signals that actually reached TP1 • TP2 Hit: Percentage of signals that reached the second take profit level • Δ2%: Average percentage distance from entry to TP2, calculated only for signals that actually reached TP2 • TP3 Hit: Percentage of signals that reached the third take profit level • Δ3%: Average percentage distance from entry to TP3, calculated only for signals that actually reached TP3 Understanding the Distance Metrics: The "Dist%" columns show the average percentage gain (from entry price to TP level) for only those trades that successfully reached that specific TP level. This helps you understand the typical profit magnitude when that target is hit. Footer Message (Historical Performance Evaluation): The table displays one of three messages based on historical loss percentage: ✅ "Historical performance threshold met. Based on past data under current settings. Not a recommendation." - Displayed when both LONG and SHORT directions show less than 40% losses on past historical data on this specific instrument and timeframe - indicates the loss-rate is below the configured threshold (40% losses) for both directions over the last N historical observations (descriptive only). 🛑 "Historical performance below threshold. Based on past data under current settings. Not a recommendation." - Displayed when both LONG and SHORT directions show more than 40% losses on past historical data on this specific instrument and timeframe - indicates the loss-rate is above the configured threshold (40% losses) for both directions over the last N historical observations (descriptive only). ⚠️ "Historical performance: Mixed / higher risk. Based on past data under current settings. Not a recommendation." - Displayed when one direction is <40% loss and one is >40% loss on past historical data on this specific instrument and timeframe - indicates a mixed result: one direction is above and the other is below the threshold over the last N historical observations (descriptive only). These statistics and messages are descriptive of past historical performance for the specific instrument and timeframe being analyzed, and they are provided purely as informational tools to help you understand how the indicator behaved historically. They are based solely on historical data analysis and can change over time as new signals complete and the underlying dataset updates. These statistics and messages are not predictions of future performance, trading recommendations or advice, or guarantees of profitability. They do not indicate that past results will repeat, and they should not be interpreted as suggestions to enter trades or to avoid them. The footer message helps you understand whether the current settings and statistical thresholds have shown historically favorable or unfavorable results on this particular market. However, past favorable statistics do not ensure future favorable results, and past unfavorable statistics do not ensure future unfavorable results. Configuration Options All parameters are fully adjustable in the indicator settings. Default values are provided as starting points and may require optimization for different instruments and timeframes. Oscillator Parameters • RSI Length (default: 100) Controls the period used for momentum calculation. Higher values = smoother, slower momentum readings. Lower values = more responsive, potentially noisier readings. • Stop Multiplier / QQE Factor (default: 2.5) Controls sensitivity of the trailing stop mechanism. Higher values = wider trailing stop, fewer signals, more trend-following. Lower values = tighter trailing stop, more signals, more sensitive to reversals. • Smoothing Length (default: 6) EMA smoothing applied to reduce noise. Higher values = smoother oscillator line. Lower values = more responsive to price changes. • Directional Weight (default: 6.4) Amplification factor for trend-aligned movements. Higher values = stronger bias toward current trend direction. Lower values = more balanced, less trend-biased. • Source (default: close) Price data used for calculations (close, open, high, low, hl2, hlc3, ohlc4). Threshold Parameters • Overbought Level (default: 70) Oscillator level considered overbought. Range: 0-100. Used for signal filtering and visual reference. • Oversold Level (default: 30) Oscillator level considered oversold. Range: 0-100. Used for signal filtering and visual reference. Statistical Analysis Parameters (Historical Percentile Targets) • Lookback N Trades (default: 20) Number of historical signals to include in statistical analysis. Analyzed separately for LONG and SHORT. Higher values = more stable statistics, slower adaptation. Lower values = more adaptive, potentially less stable statistics. Minimum: 5 signals. • TP1 Target Percentile (default: 66) Percentile of historical MFE data used for first take profit. Range: 1-99. 66 means ~66% of historical signals reached at least this distance. Higher percentile = more conservative target (closer to entry). Lower percentile = more aggressive target (farther from entry). • TP2 Target Percentile (default: 50) Percentile of historical MFE data used for second take profit. 50 = median of historical favorable movements. Adjust based on desired risk-reward profile. • TP3 Target Percentile (default: 30) Percentile of historical MFE data used for third take profit. 30 means ~30% of historical signals reached at least this distance. More aggressive, historically reached less frequently. • Fallback TP (default: 1.50 R) Risk-reward ratio used when insufficient historical data exists. "R" = Risk units (distance from entry to stop loss). 1.50 R = take profit placed at 1.5× the distance to stop loss. Used until enough signals accumulate for statistical calculation. Note on Percentile Configuration: You can customize these percentiles to match your trading style: - Conservative approach: Use higher percentiles (e.g., 80/60/40) for closer, more frequently reached targets - Aggressive approach: Use lower percentiles (e.g., 50/30/15) for extended targets with lower historical hit rates - Balanced approach: Default values (66/50/30) provide middle ground Stop Loss Parameters • Donchian Length (default: 20) Lookback period for identifying recent price extremes. Higher values = stops based on longer-term structure. Lower values = stops based on shorter-term swings. • SL Buffer (× ATR) (default: 1.00) Multiplier for ATR-based volatility buffer. Range: 0.0-5.0. 1.0 = stop placed one ATR beyond Donchian extreme. Higher values = wider stops, less risk of premature stop-out. Lower values = tighter stops, higher risk of normal volatility hitting stop. Adaptive Ranges (ATR-Based) Parameters • Length (default: 50) Period for ATR calculation used in adaptive range zones. Higher values = zones based on longer-term volatility. Lower values = zones more responsive to recent volatility changes. • Factor (default: 6.0) Multiplier applied to ATR for determining zone width. Higher values = wider zones, farther from average. Lower values = tighter zones, closer to average. • Source (default: close) Price data used for adaptive average calculation. • Show (default: ON) Toggle visibility of adaptive range overlays on chart. Turn OFF for cleaner chart if you only want oscillator signals. Visual Display Parameters • Show Historical B/S Markers (Pane) (default: ON): Displays BUY/SELL triangles in oscillator panel. • Show B/S on Price Chart (default: ON): Displays BUY/SELL markers on main price chart. • Show History TP/SL Overlays (default: ON): Displays entry lines, stop lines, and TP zones on price chart. Turn OFF for cleaner chart if you only want the oscillator signals. • History Segment Length (Bars) (default: 20): How many bars forward the TP/SL overlays extend from signal. Range: 5-200 bars. Does not affect calculations, only visual display duration. Initial Setup and Learning Period 1. Adding Indicator to Chart The indicator can be applied to any instrument and timeframe. Default settings are provided as a starting point. 2. Data Collection Period The statistical analysis requires historical signals to function. Typically 20+ bars provide initial data, while 50-100+ bars may produce more robust statistics. The table displays "Not enough data yet to evaluate" until sufficient signals exist. 3. Observing Initial Performance Signals develop over time. The calculated TP levels appear relative to actual price movement. Historical statistics show which direction (LONG vs SHORT) has performed differently. The statistics table displays historical behavior patterns. 4. Statistical Data Accumulation The indicator accumulates historical data over time. Some traders choose to observe performance in paper trading or demo environments before live use. Understanding the methodology involves reviewing how calculations work on historical data. Webhook Integration and Alerts The indicator includes alert functionality for integration with automated trading systems and notification services. Alert Characteristics: • Alerts trigger only when signals confirm at bar close (no mid-bar alerts) • Respects the historical performance evaluation footer status • Includes symbol, timeframe, and direction information in alert message • Provides JSON-formatted data for easy parsing by automated systems • Separate alert events for: Entry, TP1, TP2, TP3, Stop Loss, Early Close (Win/Loss) Alert Events Available: - Entry: When a new signal is generated - TP1/TP2/TP3: When each take profit level is reached - SL: When stop loss is hit - Early Close Win: When position closes early in profit (without hitting TP or SL) - Early Close Loss: When position closes early at a loss (without hitting TP or SL) JSON Data Structure: Each alert contains structured data including: • Event type (Entry, TP1, TP2, TP3, SL, etc.) • Direction (long/short) • Symbol and timeframe • Price levels (entry, stop, take profits) • Timestamps (entry time, event time) • Duration (milliseconds and minutes from entry to event) Compatible With: • Third-party webhook automation platforms and tools that support TradingView webhooks • Custom trading bot implementations via webhook endpoints • Notification systems that can receive TradingView alerts • Any service supporting webhook integration through TradingView's alert system The author and indicator provider assume no responsibility for losses incurred through automated trading, alert-based systems, webhook implementations, or any third-party integrations. Users are solely responsible for their trading decisions, automation setup, risk management, and system monitoring. What This Indicator Is and Is Not What This Indicator Is: This indicator is a technical analysis tool that combines momentum oscillation with statistical analysis, using a signal-generation methodology built on weighted RSI and QQE concepts. It calculates take-profit levels through historical percentile analysis, places stop losses based on both price structure and volatility, and displays adaptive support/resistance zones derived from ATR. In addition, it tracks and presents historical signal performance and serves as an educational resource for understanding statistical approaches to trading. For accurate results, it requires standard OHLC chart data. What This Indicator Is Not: This indicator is not a prediction system or “fortune-telling” tool, nor is it a guaranteed profit generator or a “holy grail” trading system. It does not provide investment advice or financial recommendations, and it is not a substitute for proper education and solid risk management. It may not be suitable for every trader, market, chart type, or market condition, and it is not a replacement for human judgment and decision-making. It also cannot eliminate the possibility of losses, drawdowns, or periods of underperformance, and it is not designed for or tested on non-standard chart types—so results may differ when used outside standard charts. Who This Indicator Is Designed For May Be Suitable For: This indicator may be suitable for traders who prefer systematic, rules-based approaches and want to incorporate statistical analysis into their trading, especially if they’re looking for a methodology that adapts to historical price behavior. It’s best for users who are comfortable with technical analysis concepts, can manage risk and position sizing properly, and are willing to invest time in testing and optimization. It also fits those who understand that past results don’t guarantee future performance and who use standard OHLC charts for their analysis. May Not Be Suitable For: This indicator may not be suitable for absolute beginners with no trading experience, or for traders looking for guaranteed profits and “get rich quick” systems. It’s also not ideal for those who are uncomfortable with technical analysis or statistical concepts, who cannot tolerate losses or drawdown periods, or who are unwilling to spend time learning, testing, and refining the methodology. Additionally, it may not fit users seeking a fully automated “set and forget” solution, traders who don’t follow proper risk management principles, or those who primarily work with non-standard chart types. Important Limitations and Considerations Technical Limitations: This indicator has several technical limitations: it requires sufficient historical data for its statistical calculations to work properly, and its performance can vary significantly across different instruments and timeframes. It may perform poorly in ranging, choppy, or low-liquidity markets, and the statistical percentiles it uses are derived from past data that may not reflect future behavior. Depending on market conditions, signals can cluster or become sparse, and no technical system performs equally well across all regimes. Results may also differ on non-standard chart types (such as Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts), and while the adaptive ranges adjust to volatility, they cannot predict regime changes. Market Limitations: This indicator has market-related limitations because it cannot account for fundamental events, news, or black swan scenarios, and it does not incorporate market sentiment, positioning, or order flow. Historical statistical patterns can break down during regime shifts, and as market structure evolves, past behaviors may not persist. External drivers such as geopolitical developments or policy changes are also outside its scope, and risks from gaps as well as weekend or overnight moves are not explicitly factored into its calculations. Execution Limitations: This indicator has execution limitations because it does not account for slippage, spread, or execution delays, and it cannot guarantee fills at the calculated levels. It also does not explicitly factor in gap risk or overnight holding risk, and it assumes there is sufficient liquidity to execute orders as intended. In addition, it cannot account for exchange outages or other technical failures, and webhook or alert delivery can fail due to connectivity problems or third-party system issues. User Limitations: This indicator also has user-related limitations: it requires the discipline to follow signals consistently rather than overriding them emotionally, along with proper position sizing and risk management. Users need the psychological resilience to handle losing streaks and the time to monitor performance and evaluate results on an ongoing basis, especially if using alerts or automation. It also assumes sufficient capital and emotional reserves to withstand drawdowns, as well as a clear understanding of the constraints of standard OHLC charts. Risk Warnings and Disclaimers Please Read This Section Carefully General Trading Risks: Trading and investing involve substantial risk of loss, and you can lose some or even all of your invested capital. Past performance does not indicate, predict, or guarantee future results, and no trading system, indicator, or methodology can eliminate risk. Markets are inherently unpredictable and uncertain, so outcomes can vary widely even when using a consistent approach. Specific Risks Related to This Indicator: Its historical statistics and percentile calculations are inherently backward-looking, not forward-looking, and past favorable results do not ensure future favorable results. Market conditions can change, historical patterns may stop working or fail to repeat, and statistical analysis cannot predict future price movements. As a result, the indicator can generate losing signals and experience unprofitable periods, with no guarantee of any particular win rate, profit level, or overall performance. Metrics such as “Dist%” reflect historical averages and should not be interpreted as future profit guarantees, while adaptive ranges reflect historical volatility behavior not future support or resistance. Results may also differ significantly when used on non-standard chart types. What This Indicator Does Not Guarantee: This indicator does not guarantee profitable trades or positive returns, any specific win percentage, success rate, or profit distance, or protection from losses and drawdowns. It also cannot guarantee that historical statistics will persist into the future, that it will be suitable for your specific financial situation, or that it will match your risk tolerance or trading goals. In addition, it does not guarantee reliable operation when used with automated trading systems, nor does it guarantee consistent results across different chart types. Regulatory Disclaimer: This indicator is a technical analysis tool for educational and informational purposes only. It does not constitute: Investment advice or recommendations, Financial planning or wealth management services, A solicitation to buy or sell any securities or instruments, A guarantee or warranty of any kind regarding performance, Professional advice tailored to your specific situation Legal Liability: By using this indicator, users acknowledge and agree that they are solely responsible for all trading decisions and outcomes, and that the author and indicator provider assume no liability for any losses or damages. Users confirm that they have read and understood all stated risks and disclaimers, agree not to hold the author or provider responsible for any results, and recognize that trading can result in the total loss of capital. They also understand the limitations related to chart types and the indicator’s calculation methods, which may affect how results are produced and interpreted. Geographic Restrictions: This indicator may not be suitable or legal in all jurisdictions. It is your responsibility to ensure compliance with local laws and regulations regarding trading and financial markets. Final Statement This indicator represents a systematic approach to technical analysis that combines momentum oscillation with statistical analysis of historical price behavior and adaptive volatility-based ranges. It is designed to provide a structured framework for visualizing historical market conditions and statistical behavior under the selected settings. Access and Support Information This is an invite-only indicator. For access requests, detailed documentation, setup guides, and ongoing support, please refer to the author's signature field displayed below this publication. Thank you for taking the time to read this complete description. Understanding the methodology, limitations, and proper usage is essential for anyone considering using this indicator. Trade safely and responsibly.
Penunjuk Pine Script®
oleh CryptogenixClub
MACD RSI EMA AGGRESSIVE + ATR SLTPThis indicator is designed for aggressive scalping and intraday trading, especially on crypto futures. It combines: - MACD crossover for momentum direction - RSI filter to avoid weak signals - EMA trend filter to follow market bias - Volume confirmation to reduce false signals - ATR-based SL/TP visualization for risk management The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes. Best used on lower timeframes (1m–5m) with proper risk management.
Penunjuk Pine Script®
oleh allegraclift5