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Triple ATR Adaptive MAs + VWAP Option + Clouds + Candle Trend V2Another one of my experiences ... combining things... 📘 Indicator Description – Triple ATR Adaptive Moving Averages with VWAP Influence This indicator plots three adaptive moving averages whose behavior changes dynamically based on market volatility (ATR) and optionally VWAP deviation. Because they adapt in real time to both volatility and VWAP pressure, their movement, slope, and reaction speed differ significantly from traditional moving averages. 🔶 1. ATR-Adaptive Moving Averages Each of the three MAs uses a custom adaptive formula: ATR (Average True Range) is measured over a chosen period. Higher ATR → more volatility → the MA becomes more reactive and moves closer to price. Lower ATR → stable market → the MA becomes smoother and slower. This creates a volatility-aware smoothing factor, making the MA expand, contract, and respond to market conditions in ways a classic SMA, EMA, or HMA cannot. 🔷 2. Optional VWAP Influence Each MA has an independent toggle allowing it to be influenced by VWAP. When enabled: The MA is gently “pulled” toward VWAP. The strength of this attraction is determined by the VWAP Influence parameter (0–1). This causes the moving averages to behave differently from normal MAs: In trending markets, the ATR and price push the MA away from VWAP. In mean-reverting or balanced conditions, VWAP pulls the MA back toward fair value. The result is an MA that reflects both trend pressure and fair-value pressure. 🔶 3. Visual Behavior: Non-Traditional Movement Because each MA is simultaneously influenced by volatility, trend magnitude, and VWAP deviation, their shape is often very distinct from normal moving averages. They may: Respond faster during high volatility Flatten out earlier during consolidation Curve toward VWAP when price becomes extended Separate or compress depending on ATR strength This is intentional and essential, since the goal is to show: ✔ Volatility expansion ✔ Trend exhaustion ✔ Overextended price relative to VWAP ✔ Dynamic trend confirmation Rather than simply smoothing past price. 🔷 4. Three Independent Adaptive Lines Each of the three moving averages has: Its own ATR length Its own sensitivity multiplier Its own optional VWAP influence Its own color and trail This allows the user to combine: a fast volatility-adaptive trend line a mid-range adaptive baseline a slow adaptive long-trend MA All adapting independently to volatility and VWAP conditions. 🔶 5. Optional Candle Coloring The indicator can color candles according to trend strength derived from the fast/slow MAs. Stronger trends produce more vivid colors. Neutral or conflicting trends produce softer colors. This adds a visual layer to identify: Trend direction Trend strength Volatility state Market compression at a glance. 📌 Summary This indicator does not behave like standard SMAs or EMAs because each line dynamically adapts to: 🔸 ATR (volatility) 🔸 VWAP (fair value) This makes the indicator extremely responsive to market conditions while still reducing noise during stable phases. It provides a more realistic, context-aware, and intelligent representation of price behavior compared to traditional moving averages.
Indicador Pine Script®
por ueuito
Tamil | MTF DashboardThe Tamil | MTF Dashboard is a powerful multi-timeframe (MTF) market strength and trend-bias analyzer designed to give traders a fast, at-a-glance understanding of market conditions across 7 timeframes. This dashboard consolidates essential indicators into a clean table plus a dynamic bias label that updates live with the chart timeframe. ⸻ ✅ What This Dashboard Shows 1. RSI (Multi-Timeframe) • Uses custom color logic: • Green: RSI > 55 • Red: RSI < 45 • Gray: Neutral zone (45–55) • Quickly identifies momentum shifts across multiple timeframes. 2. Stochastic (Multi-Timeframe) • Values clamped to 0–100 • Color-coded: • Oversold (<20): Green • Overbought (>80): Red • Neutral: Gray 3. Supertrend Direction • Returns Buy / Sell / Neutral per timeframe • Color-coded trend bias for quick directional confirmation. 4. Moving Average Trend (SMA or EMA) • Choose between SMA or EMA • Shows whether price is above/below MA • Above MA → Bullish (Buy) • Below MA → Bearish (Sell) 5. Combined Score (-4 to +4) A powerful numeric sentiment summarizing 4 trend components: • RSI score • Stochastic score • Supertrend score • MA trend score Each indicator contributes -1, 0, or +1, giving a total score: • +2 to +4 = Bullish • -2 to -4 = Bearish • Between -1 and +1 = Neutral Includes Trend Strength: • Very Weak • Weak • Moderate • Strong All shown inside the Score cell per timeframe. ⸻ 📌 Bias Label (Chart Timeframe Only) Displays real-time information for the active chart timeframe: • Bias (Bullish / Bearish / Neutral) • Combined Score • ATR value • ADX value (0–100, DI-based calculation) Perfect for gauging trend strength without cluttering the chart. ⸻ 🧩 Supported Timeframes The dashboard updates the following timeframes simultaneously: • 1m, 3m, 5m, 15m, 1H, 4H, 1D ⸻ 🎯 Designed For • Intraday traders • Swing traders • Scalpers • Multi-timeframe analysts • Traders who want instant visual confirmation of market strength ⸻ ⭐ Why This Dashboard Is Unique • True multi-timeframe aggregation • Custom, realistic scoring engine • Accurate ADX (0–100) matching textbook DI calculation • Clean color logic for fast interpretation • Zero repainting (uses standard indicators + request.security) • Works on any market: Stocks, Crypto, Forex, Futures
Indicador Pine Script®
por haimpts
Vassago & Tesla Ex-Machina 197 45 21 [Hakan Yorganci]Vassago & Tesla Ex-Machina 197 45 21 "Any sufficiently advanced technology is indistinguishable from magic." — Arthur C. Clarke 🌑 The Genesis: Algorithmic Esotericism This script is not merely a technical indicator; it is a digital artifact born from the convergence of Software Engineering and Hermetic Tradition. As a developer and researcher dedicated to "Technomancy"—the study of applying esoteric logic to computational systems—I designed this algorithm using a custom, experimental programming environment I am currently developing. My goal was to move beyond standard, arbitrary financial inputs (like the default 200 SMA or 14 RSI) and instead derive parameters based on Universal Harmonics and Historical Archetypes. This indicator, Ex-Machina, is the result of that transmutation. It applies ancient numeric precision to modern market chaos. 🔢 Decoding the Protocol: 197 - 45 - 21 Why these specific numbers? They were not chosen randomly; they were calculated through specific harmonic reductions to filter out market noise. 1. The Harmonic Trend (Tesla Protocol) * The Logic: Standard analysis uses the 200-period Moving Average simply out of habit. However, applying Nikola Tesla’s 3-6-9 vibrational principles, the engine reduced the period to 197. * The Numerology: 1+9+7 = 17 \rightarrow 1+7 = \mathbf{8}. In esoteric numerology, 8 represents infinite power, authority, and financial flow. This creates a baseline that aligns more organically with market accumulation than the static 200. 2. The Hidden Dip (Solomonic Sight) * The Archetype: Based on the attributes of Vassago, the archetype of discovering "hidden things," the algorithm identified 45 as the precise threshold for a "Sniper Entry." * The Function: Unlike the standard 30 RSI, this level identifies the exact moment a correction matures within a bullish trend—catching the dip before the crowd returns. 3. The Prophetic Vision * The Logic: Using the Fibonacci Sequence, the indicator projects the support line 21 bars into the future. * The Utility: This allows you to visualize where the support will be, granting you foresight before price action arrives. ⚖️ The Dual Mode Engine: Sealed vs. Living Respecting the user's will, I have engineered this script as a Hybrid System. You can choose how the "spirit" of the code interacts with the market via the settings menu. 1. The Sealed Ritual (Default - Unchecked) * Philosophy: "Trust in the Constants." * Behavior: Strictly adheres to the 197 SMA and 45 RSI. * Visual: Displays a Blue Trend Line. * Best For: Traders who value stability, long-term trends, and the unyielding nature of harmonic mathematics. 2. The Living Spirit (Adaptive Mode - Checked) * Philosophy: "As the market breathes, so does the code." * Behavior: * Transmutation: The trend line shifts from a Simple Moving Average (SMA) to an Exponential Moving Average (EMA 197) for faster reaction. * Adaptive Volatility: The RSI entry level (45) becomes dynamic. It expands and contracts based on ATR (Average True Range). In high volatility, it demands a deeper dip to trigger a signal, protecting you from fake-outs. * Visual: Displays a Fuchsia (Pink) Trend Line. * Best For: Volatile markets (Crypto/Forex) and traders who want the algorithm to "sense" the fear and greed in the air. ⚙️ How to Trade * Timeframe: Optimized for 4H (The Builder) and 1D (The Architect). * The Signal: Wait for the "EX-MACHINA ENTRY" label. This signal manifests ONLY when: * Price is holding above the 197 Harmonic Trend. * Momentum crosses the Optimized Threshold (45 or Adaptive). * Trend Strength is confirmed via ADX. Author's Note: I built this tool for those who understand that code is the modern spellbook. Use it wisely, risk responsibly, and let the harmonics guide your entries. — Hakan Yorganci Technomancer & Full Stack Developer
Indicador Pine Script®
por hknyrgnc
EMA Crossover CandlesEMA Crossover Candles This indicator colors your chart candles based on the relationship between two Exponential Moving Averages (EMAs). How It Works Green Candles - When the Fast EMA is above the Slow EMA, indicating bullish momentum Red Candles - When the Fast EMA is below the Slow EMA, indicating bearish momentum Settings Source - The price data used for EMA calculations (default: close) Fast Length - Period for the fast EMA (default: 5) Slow Length - Period for the slow EMA (default: 10) How To Use This indicator provides a quick visual reference for trend direction. Green candles suggest the short-term trend is bullish, while red candles suggest bearish conditions. This can help you: Identify trend direction at a glance Filter trades in the direction of the trend Spot potential trend changes when candle colors shift Tips Adjust the Fast and Slow Length settings to match your trading timeframe Shorter periods = more responsive but more false signals Longer periods = smoother but slower to react to trend changes Consider hiding default candles in Chart Settings for a cleaner look Note: This indicator is for informational purposes only and should not be used as the sole basis for trading decisions. Always use proper risk management and consider combining with other forms of analysis. Feel free to modify this to match your style or add any additional details you'd like to include.Claude is AI and can make mistakes. Please double-check responses. Opus 4.5
Indicador Pine Script®
por GraCB
Magic Moving AveragesThis indicator plots up to three adaptive “Magic MAs” plus a weighted combo line, with optional traditional SMAs for comparison. Instead of averaging only closes, each Magic MA: looks at the midpoints of highs/lows and opens/closes decides whether recent behaviour favours the highs or the lows builds a series of either highs or lows, then smooths it over your chosen length You can run: Short / Medium / Long Magic MAs A weighted combo line (using 1–10 weights) Optional traditional short/long SMAs on close How I use it: Price above the combo line → bullish bias Price below the combo line → bearish bias Short/medium/long Magic MAs together → dynamic support/resistance and trend structure Traditional SMAs on for comparison with “classic” moving average behaviour Inputs: Magic MA lengths control how reactive vs smooth each regime is Weights (1–10) let you emphasise short, medium or long regimes in the combo This is a free / educational version of the Magic MAs. It’s not financial advice – always manage your own risk.
Indicador Pine Script®
por pc75
Gemini Hibrit Avcı (Supertrend + StochRSI)SupertrendOption 1: Natural & Conversational (Best Match for Original Tone) This version captures the explanatory, "speaking to a friend" vibe of your Turkish text. Supertrend: When you look at the chart, you'll see Green or Red clouds in the background. This basically tells you, "Should you only be thinking about buying right now, or selling?" Stoch RSI: You know how the price sometimes makes a correction (drops slightly) even when the Supertrend is green? This indicator catches the exact moment that correction ends and the price starts heading back up (the K and D crossover). EMA 200 Filter: This comes enabled by default in your settings. It means: "If the price is below the 200-day average, do not—under any circumstances—enter a trade, even if the Supertrend gives a BUY signal." This protects you from fake rallies (bull traps) during a bear market.
Indicador Pine Script®
por tlg13ts
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.
Indicador Pine Script®
por ApexLegion
6
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. ━━━━━━━━━━━━━━━━━━━━━━ HOW IT WORKS ━━━━━━━━━━━━━━━━━━━━━━ 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 ━━━━━━━━━━━━━━━━━━━━━━ FEATURES ━━━━━━━━━━━━━━━━━━━━━━ - 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 ━━━━━━━━━━━━━━━━━━━━━━ ALERTS ━━━━━━━━━━━━━━━━━━━━━━ - 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 ━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━ 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 ━━━━━━━━━━━━━━━━━━━━━━ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━ - 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.
Indicador Pine Script®
por TSA_TimeSpaceAlgorithm
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. --- 🔬 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). --- ### 🛠 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.
Estratégia Pine Script®
por waranyutrkm
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
Indicador Pine Script®
por zeche13
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.
Indicador Pine Script®
por Capitalwithluke
1
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
Indicador Pine Script®
por torotrap