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SALSA Multi-Framework Analysis SuiteThis indicator, SALSA (SALSA Multi-Framework Analysis Suite), is an original compilation designed to provide a multi-dimensional view of the market by integrating several distinct analytical frameworks into a single tool. It is not a simple aggregation of standard indicators without purpose. The core concept is to combine the analytical power of different technical methodologies: 1. Multi-Length Moving Averages (MAs):A customizable set of 6 MAs (with user-defined types and lengths) provides trend direction, potential support/resistance levels, and generates signals through crossovers. Their rainbow color scheme (Red to Violet) helps visualize different timeframes. 2. **Volume Profile (VP):** Displays the distribution of trading volume at different price levels over a defined lookback period. Key levels like the Point of Control (PoC), Value Area High (VAH), and Value Area Low (VAL) are highlighted with specific, user-adjustable colors (e.g., red PoC, orange VAH, blue VAL) to identify significant price zones where institutional interest may have occurred. 3. Divergence Detection: Implements an algorithm to identify regular and hidden bullish and bearish divergences between an internal oscillator (`sz`) and the asset's price action. This helps anticipate potential trend reversals before they are confirmed by price. 4. Trend & Volatility Indicators: Includes VWAP, Bollinger Bands, and Ichimoku Cloud, offering additional layers for trend confirmation, volatility assessment, and dynamic support/resistance levels. 5. Momentum Indicators:** Features an internal oscillator inspired by Koncorde concepts, using CMF, OBV, RSI, and Stochastic to provide momentum-based buy/sell shapes. 6. Trading Signals (SALSA System):Generates potential buy/sell signals based on the interaction between the `sz` oscillator and ADX values. 7. Whale Detector:Aims to identify potential large player activity based on specific volume and price action patterns. The primary goal is to allow traders to cross-reference signals from different analytical frameworks (trend, momentum, volume, volatility) simultaneously, increasing the potential for robust trade setups. The extensive input options allow for significant customization to fit various trading styles and preferences. This script is provided for educational purposes to demonstrate the integration of multiple technical analysis concepts in Pine Script.
Wskaźnik Pine Script®
od CARLOSVIZCARRA17
Divergences: Price × RSI × OBV The Triple Confirmation Divergence indicator is a sophisticated momentum and volume-based tool designed to identify high-probability trend exhaustion points and potential reversals. It moves beyond traditional single-indicator divergence analysis by synthesizing signals from three core pillars of technical analysis: Price Action, Momentum, and Volume Flow. This indicator works better on the time frames: 1H, 4H, 1D, 1W and 1M.
Wskaźnik Pine Script®
od gustavojeronimo
Friday’s Close – Futures Weekend AnchorPurpose: This indicator highlights the US futures weekend close price — the exact level where CME markets end trading on Friday at 4:00 PM CT / 5:00 PM ET. It’s designed primarily for crypto traders who want to compare weekend market behavior to the traditional finance (TradFi) close. Why it matters: Crypto trades 24/7, but global liquidity and sentiment still pivot around the Friday futures close. During the weekend, crypto can “drift” relative to traditional markets — this line shows exactly where the week ended for Wall Street, giving you a clean reference point until futures reopen on Sunday evening. Features Precise Friday close capture (CME weekend close minute, not just daily bar) Works on any ticker — especially useful for BTC, ETH, or other crypto assets Adjustable for time zone (New York / Chicago / custom) Option to select prior weeks with weekOffset Draws a single clean line from Friday’s close forward — no clutter, no vertical stitches Optional right-edge label with the close value and timestamp Usage Tips Keep the chart’s timezone in sync with your anchor (America/New_York = 5 PM ET, America/Chicago = 4 PM CT). Use weekOffset = 1 to view last week’s Friday close. Combine with volume, funding, or open interest indicators to see how weekend moves relate to the TradFi close. Ideal for weekend analysis — shows whether crypto is trading rich or cheap vs. the Friday benchmark before futures reopen. Recommended For Crypto traders, analysts, and quant enthusiasts who monitor TradFi–crypto decoupling or weekend premium behavior.
Wskaźnik Pine Script®
od GeoffGolder
ATR-Normalized MACD w/ Visual BackgroundChatGPT said: Absolutely! Let’s break down the YON MACD indicator in detail so you understand what it does, how it works, and how to use it. 1. Purpose The YON MACD is a volatility-adjusted version of the classic MACD. Instead of just using EMA differences, it normalizes the MACD by the Average True Range (ATR), which means: High-volatility markets → the MACD signal is scaled down. Low-volatility markets → the MACD signal is scaled up. This gives a more consistent momentum signal across different market conditions, avoiding false spikes during high volatility. 2. Components a. Fast and Slow EMAs fastEMA → Typically 12-period EMA of price. slowEMA → Typically 26-period EMA of price. The difference between them measures short-term momentum. b. ATR Normalization atr → Average True Range over a specified period (default 26). Formula: YON MACD=fastEMA - slowEMAATR×100 YON MACD= ATR fastEMA - slowEMA ​ ×100 This adjusts the MACD for market volatility. c. Signal Line EMA of the YON MACD (default 9 periods). Acts like a trigger line for crossovers. d. Histogram hist = YON MACD - Signal Line Visualizes divergence: how far the MACD is from the signal line. Positive histogram → bullish momentum, negative → bearish momentum. 3. Visual Features Plot Lines YON MACD → colored green (rising), red (falling), gray (unchanged). Signal line → always blue. Histogram → columns: green (positive), red (negative). Background Coloring Green → MACD rising + histogram positive (bullish momentum). Red → MACD falling + histogram negative (bearish momentum). Yellow/Orange → histogram flips (early momentum change). This makes trend and momentum immediately visible without having to study the panel in detail. 4. Alerts MACD Cross Alerts YON MACD crosses above the signal → potential buy. YON MACD crosses below the signal → potential sell. Histogram Flip Alerts Histogram flips from negative → positive → early bullish signal. Histogram flips from positive → negative → early bearish signal. This allows automation or notifications for momentum changes. 5. How to Use Trend Confirmation Green background + MACD above signal → trend is bullish. Red background + MACD below signal → trend is bearish. Entry/Exit Signals Buy: MACD crosses above signal or histogram flips positive. Sell: MACD crosses below signal or histogram flips negative. Volatility Adjustment Since the MACD is ATR-normalized, it avoids overreacting in volatile conditions and highlights true momentum shifts. Summary The YON MACD is a trend-following and momentum indicator with: Volatility normalization (ATR) MACD cross signals Histogram divergence visualization Background colors for instant momentum reading Alerts for crossovers and early momentum flips It’s a powerful all-in-one momentum tool that can work for day trading, swing trading, or even longer-term analysis.
Wskaźnik Pine Script®
od ykm4evr
3
ICT First Presented FVG with Volume Imbalance [1st P. FVG + VI]The indicator identifies and highlights the first presented Fair Value Gap (FVG) occurringthe morning (09:30–10:00) and afternoon (13:30–14:00) session's first 30 minutes. It includes an optional feature to extend FVG zones when a volume imbalance (V.I.) is detected, providing additional context for areas of potential price inefficiency. This powerful combination helps traders identify significant market structure gaps that often act as support/resistance zones and potential price targets. What is an FVG? A Fair Value Gap, often abbreviated as FVG, is a price range on a chart where there is an inefficiency or imbalance in trading. This typically happens when price moves rapidly in one direction, leaving a gap between the wicks or bodies of three consecutive candles. For example, in a bullish move, if the low of the third candle is higher than the high of the first candle, the space between them is the FVG. What is a Volume Imbalance? A volume imbalance is a smaller, more precise inefficiency within price action, often visible as a "crack" or thin area in the price delivery. It represents a spot where the volume traded was not balanced between buyers and sellers, often seen as a thin wick or a gap between candle bodies. FVG + Volume Imbalance: When you have a fair value gap that contains a volume imbalance, it becomes a more significant area of interest. ICT teaches that you should not ignore a volume imbalance if it’s part of an FVG. In fact, you should use the volume imbalance in conjunction with the FVG to define your trading range more accurately 📊 Volume Imbalance Integration Toggle Option: Enable/disable volume imbalance detection based on preference Extended Boundaries: When enabled, FVG boundaries expand to include volume imbalance zones Accurate Gap Sizing: Total gap calculation includes volume imbalance extensions Multi-Scenario Support: Handles volume imbalances at start, end, or both sides of FVG formations 📈 Multiple Display Modes Current Day: Shows only today's FVGs for clean chart analysis Current Week: Displays all weekly FVGs for broader context Forward Extension: Extends FVG boxes and CE, Upper/Lower Quadrant lines into the future 📊 Visualization Bullish FVGs appear in semi-transparent blue or purple zones (depending on session). Bearish FVGs appear in red or orange zones. Optional dotted lines mark the CE (midpoint) of each FVG for additional reference. Quadrant Division: Additional 25%/75% lines for large FVGs (configurable minimum gap size) 🎯 Smart Filtering First Presentation Only: Only displays the initial FVG in each session, avoiding clutter Minimum Gap Size: Configurable tick-based thresholds for AM and PM sessions Core FVG Validation: Ensures only valid Fair Value Gaps are displayed ⚙️ Configuration Options Display Settings Show Mode: Current Day or Current Week view Forward Extension: 1-500 bars projection Day Labels: Toggle weekday labels in weekly mode Text Color: Customizable label colors Volume Imbalance Settings Include Volume Imbalance: Master toggle for enhanced boundary calculation Automatic Detection: Identifies imbalance scenarios without additional input Session-Specific Settings AM Session (09:30-10:00): Enable/disable AM FVG detection Customizable bullish/bearish colors CE line visibility and coloring Minimum gap size in ticks PM Session (13:30-14:00): Enable/disable PM FVG detection Customizable bullish/bearish colors CE line visibility and coloring Minimum gap size in ticks Quadrant Settings Enable/Disable: Toggle quadrant line display Minimum Gap: Tick threshold for quadrant activation Line Style: Dotted, dashed, or solid Color: Customizable quadrant line color How It Works FVG Boundary Calculation Traditional FVG: High to Low (bullish) or Low to High (bearish) Enhanced FVG: Extended boundaries to include volume imbalance zones when enabled Total Gap Size: Calculated including any volume imbalance extensions Volume Imbalance Detection The indicator identifies volume imbalances by detecting bars where: Bullish Imbalance: Current bar's body is completely above previous bar's body Bearish Imbalance: Current bar's body is completely below previous bar's body ⚠️ Disclaimer This script is a technical visualization tool only. It does not provide financial advice, signals, or predictions. Always perform independent analysis and manage risk appropriately before making trading decisions.
Wskaźnik Pine Script®
od flasi
2
Elite_Pro_SignalsA sophisticated trading indicator that combines 8 powerful technical factors into a single confidence score to identify high-probability reversal signals. 8-Factor Confidence Scoring - Weighted analysis of multiple technical aspects Smart Trend Alignment - Multi-timeframe EMA convergence Advanced Pattern Recognition - Pin Bars, Engulfing, Inside Bars, Hammer/Shooting Star Supply/Demand Zones - Automatic key level detection Support/Resistance Confluence - Price action at significant levels ⚡ Smart Filters Market Regime Detection - Avoid choppy/low-volatility conditions Volume Confirmation - Ensure institutional participation Liquidity Sweep Validation - Smart money movement detection Candle Quality Filter - Eliminate false signals from tiny candles 🔧 How It Works Confidence Scoring System (0-100%) text Wick Strength (30%) + Trend Alignment (25%) + Pattern Recognition (15%) + Supply/Demand Zones (12%) + Support/Resistance (10%) + RSI Momentum (5%) + Volume & Liquidity (5%) Signal Generation 🟢 BUY Signals - Bullish rejection + Uptrend + High confidence 🔴 SELL Signals - Bearish rejection + Downtrend + High confidence 🎨 Visual Features Clear Buy/Sell Arrows - Easy-to-spot signals Confidence Background - Color-coded confidence levels Info Table - Real-time metrics and analysis Multi-Timeframe EMAs - Trend direction visualization Professional Alerts - Real-time notifications ⚙️ Customization Confidence Weights Adjust the importance of each factor to match your trading style Strategy Parameters EMA periods (Fast: 20, Slow: 50) RSI levels (Oversold: 25, Overbought: 80) Minimum confidence threshold (70% recommended) Advanced Filters Volume multiplier settings Liquidity sweep sensitivity Market regime filters Zone detection parameters 📈 Recommended Usage Timeframes Primary: 5-minute to 1-hour charts Best Results: 15-minute with 1-hour trend alignment Markets Forex Pairs (EURUSD, GBPUSD, XAUUSD) Indices (US30, NAS100, DE40) Commodities (Gold, Oil) Trading Sessions London & New York overlap (Highest volatility) Avoid Asian session (Low signal quality) 🔍 Signal Interpretation High-Confidence Signals (80%+) Strong trend alignment Clear rejection patterns Volume confirmation Multiple confluence factors Medium-Confidence Signals (60-80%) Good setup but missing 1-2 factors Requires additional confirmation Low-Confidence Signals (<60%) Avoid trading Wait for better setups
Wskaźnik Pine Script®
od trader1292
Scalper Pro Pattern Recognition & Price ActionOVERVIEW Scalper Pro is a comprehensive multi-timeframe trading indicator that combines Smart Money Concepts (SMC) with traditional technical analysis to provide scalpers and day traders with high-probability entry and exit signals. This indicator integrates multiple analytical frameworks into a unified visual system designed specifically for short-term trading strategies. ORIGINALITY & PURPOSE What Makes This Script Original This script is not a simple mashup of existing indicators. Instead, it represents a carefully orchestrated integration of complementary analytical methods that work together to solve a specific problem: identifying high-probability scalping opportunities in volatile markets. The unique value proposition: Adaptive Trend Filtering System - Combines a customized SuperTrend algorithm with dual-period range filters (Cirrus Cloud) and Hull Moving Average trend cloud to create a three-layer trend confirmation system Smart Money Concepts Integration - Incorporates institutional trading concepts (Order Blocks, Fair Value Gaps, Break of Structure) with retail technical indicators for a complete market structure view Dynamic Risk Management - Automatically calculates stop-loss and take-profit levels based on ATR volatility, providing objective position sizing ADX-Based Market Regime Detection - Identifies ranging vs. trending markets through ADX analysis with visual bar coloring to prevent whipsaws during consolidation Why Combine These Specific Components Each component addresses a specific weakness in scalping: SuperTrend provides the primary directional bias but can generate false signals in ranging markets Range Filters smooth out noise and confirm trend direction, reducing SuperTrend false positives ADX Analysis prevents trading during low-volatility consolidation when most indicators fail SMC Elements identify institutional activity zones where price is likely to react strongly ATR-Based Risk Management adapts position sizing to current volatility conditions The synergy creates a system where signals are only generated when multiple confirmation layers align, significantly reducing false signals common in single-indicator approaches. HOW IT WORKS Core Calculation Methodology 1. SuperTrend Signal Generation The script uses a modified SuperTrend algorithm with the following calculation: ATR = Average True Range (default: 10 periods) Factor = 7 (default sensitivity multiplier) Upper Band = Source + (Factor × ATR) Lower Band = Source - (Factor × ATR) Directional Logic: When price crosses above SuperTrend → Bullish signal When price crosses below SuperTrend → Bearish signal SuperTrend value is plotted as dynamic support/resistance Key Modification: The sensitivity parameter (nsensitivity * 7) allows users to adjust the aggressiveness of trend detection without changing the core ATR calculation. 2. Range Filter System (Cirrus Cloud) The Range Filter uses a smoothed range calculation to filter out market noise: Smooth Range Calculation: WPER = (Period × 2) - 1 AVRNG = EMA(|Price - Price |, Period) Smooth Range = EMA(AVRNG, WPER) × Multiplier Two-Layer System: Layer 1: 22-period with 6x multiplier (broader trend) Layer 2: 15-period with 5x multiplier (tighter price action) Visual Output: The space between these two filters is colored: Green fill = Bullish trend (Layer 1 > Layer 2) Red fill = Bearish trend (Layer 1 < Layer 2) This creates a "cloud" that expands during strong trends and contracts during consolidation. 3. ADX Market Regime Detection Calculation: +DM = Positive Directional Movement -DM = Negative Directional Movement True Range = RMA of True Range (15 periods) +DI = 100 × RMA(+DM, 15) / True Range -DI = 100 × RMA(-DM, 15) / True Range ADX = 100 × RMA(|+DI - -DI| / (+DI + -DI), 15) Threshold System: ADX < Threshold (default 15) = Ranging market → Bar color changes to purple ADX > Threshold = Trending market → Normal bar coloring applies Purpose: This prevents taking trend-following signals during sideways markets where most indicators produce whipsaws. 4. Smart Money Concepts (SMC) Integration Order Blocks (OB): Identified using swing high/low detection with customizable pivot length Bullish OB: Last down-close candle before bullish Break of Structure (BOS) Bearish OB: Last up-close candle before bearish BOS Extended forward until price breaks through them Fair Value Gaps (FVG): Detected when a three-candle gap exists: Bullish FVG: Low > High Bearish FVG: High < Low Filtered by price delta percentage to ensure significant gaps Displayed as boxes that delete when price fills the gap Break of Structure (BOS) vs. Change of Character (CHoCH): BOS = Price breaks the previous structural high/low in the current trend direction CHoCH = Price breaks structure in the opposite direction (potential trend reversal) Both internal (minor) and swing (major) structures are tracked Equal Highs/Lows (EQH/EQL): Detected when consecutive swing highs/lows are within ATR threshold Often indicates liquidity pools that price may sweep before reversing 5. ATR-Based Risk Management Calculation: ATR Band = ATR(14) × Risk Multiplier (default 3%) Stop Loss = Entry - ATR Band (for longs) or Entry + ATR Band (for shorts) Take Profit Levels: TP1 = Entry + (Entry - Stop Loss) × 1 TP2 = Entry + (Entry - Stop Loss) × 2 TP3 = Entry + (Entry - Stop Loss) × 3 Dynamic Labels: Stop loss and take profit levels are automatically calculated and displayed as labels on the chart when new signals trigger. 6. Hull Moving Average Trend Cloud HMA = WMA(2 × WMA(Close, Period/2) - WMA(Close, Period), sqrt(Period)) Period = 600 bars (long-term trend) The HMA provides a smoothed long-term trend reference that's more responsive than traditional moving averages while filtering out short-term noise. HOW TO USE THE INDICATOR Entry Signals Primary Buy Signal: SuperTrend changes to green (price crosses above) ADX shows market is NOT ranging (bars are NOT purple) Price is within or near a bullish Order Block OR bullish FVG Cirrus Cloud shows green fill (Layer 1 > Layer 2) Primary Sell Signal: SuperTrend changes to red (price crosses below) ADX shows market is NOT ranging Price is within or near a bearish Order Block OR bearish FVG Cirrus Cloud shows red fill (Layer 1 < Layer 2) Confirmation Layers Higher Probability Trades Include: Bullish/Bearish BOS in the same direction as signal Equal highs/lows being swept before entry Price respecting premium/discount zones (above/below equilibrium) Multiple timeframe alignment (use MTF settings) Exit Strategy The indicator provides three take-profit levels: TP1: Conservative target (1:1 risk-reward) TP2: Moderate target (2:1 risk-reward) TP3: Aggressive target (3:1 risk-reward) Suggested Exit Approach: Close 1/3 position at TP1 Move stop to breakeven Close 1/3 position at TP2 Trail remaining position or exit at TP3 Risk Management Stop Loss: Use the ATR-based stop loss level displayed on chart Alternatively, use percentage-based stop (adjustable in settings) Never risk more than 1-2% of account per trade Position Sizing: Position Size = (Account Risk $) / (Entry Price - Stop Loss Price) CUSTOMIZABLE SETTINGS Core Parameters Buy/Sell Signals: Toggle signals on/off Adjust SuperTrend sensitivity (0.5 - 2.0) Risk Management: Show/hide TP/SL levels ATR period (default: 14) Risk percentage (default: 3%) Number of decimal places for price labels Trend Features: Cirrus Cloud display toggle Range filter periods (x1, x2, x3, x4) Hull MA length for trend cloud Smart Money Concepts: Order Block settings (swing length, display count) Fair Value Gap parameters (auto-threshold, extend length) Structure detection (internal vs swing) EQH/EQL threshold ADX Settings: ADX length (default: 15) Sideways threshold (10-30, default: 15) Bar color toggle Display Options: Previous day/week/month high/low levels Premium/Discount/Equilibrium zones Trend candle coloring (colored or monochrome) BEST PRACTICES & TRADING TIPS Optimal Use Cases Scalping on lower timeframes (1m, 5m, 15m) Rapid entry/exit with clear TP levels ADX filter prevents choppy market entries Day trading on medium timeframes (30m, 1H) Stronger trend confirmation Better risk-reward ratios Swing trading entries on higher timeframes (4H, Daily) Higher-probability structural setups Larger ATR-based stops accommodate volatility Market Conditions Best Performance: Trending markets with clear directional bias Post-news volatility with defined structure Markets respecting support/resistance levels Avoid Trading When: ADX indicator shows purple bars (ranging market) Multiple conflicting signals across timeframes Major news events without clear price structure Low volume periods (market open/close) Common Mistakes to Avoid Ignoring the ADX filter - Taking signals during ranging markets leads to whipsaws Not waiting for confirmation - Enter only when multiple layers align Overtrading - Fewer high-quality setups outperform many mediocre ones Ignoring risk management - Always use the calculated stop losses Fighting the trend - Trade WITH the SuperTrend and Cirrus Cloud direction TECHNICAL SPECIFICATIONS Indicator Type: Overlay (plots on price chart) Calculation Resources: Max labels: 500 Max lines: 500 Max boxes: 500 Max bars back: 500 Pine Script Version: 5 Compatible Timeframes: All timeframes (optimized for 1m to 1D) Compatible Instruments: Forex pairs Crypto assets Stock indices Individual stocks Commodities THEORETICAL FOUNDATION Trend-Following Concepts This indicator is based on the principle that markets trend more often than they range, and that trends tend to persist. The SuperTrend component captures this momentum while the range filters prevent premature entries during pullbacks. Smart Money Theory The SMC elements are based on the concept that institutional traders (banks, hedge funds) leave footprints in the form of: Order Blocks: Areas where large orders were placed Fair Value Gaps: Inefficient price movements that may be revisited Liquidity Sweeps: Stop hunts before continuation (EQH/EQL) Volatility-Based Position Sizing Using ATR for stop-loss placement ensures that stop distances adapt to current market conditions: Tight stops in low volatility (avoids excessive risk) Wider stops in high volatility (avoids premature stop-outs) PERFORMANCE EXPECTATIONS Realistic Expectations Win Rate: Expected: 45-55% (trend-following systems rarely exceed 60%) Higher win rates on trending days Lower win rates during consolidation (even with ADX filter) Risk-Reward Ratio: Target: 1.5:1 minimum (TP2) Achievable: 2:1 to 3:1 on strong trends Drawdowns: Normal: 10-15% of account during choppy periods Maximum: Should not exceed 20% with proper risk management Optimization Tips Backtesting Recommendations: Test on at least 1 year of historical data Include different market conditions (trending, ranging, volatile) Adjust SuperTrend sensitivity per instrument Optimize ADX threshold for your specific market Record trades to identify personal execution errors FREQUENTLY ASKED QUESTIONS Q: Can I use this for automated trading? A: The indicator provides signals, but you'll need to code a strategy script separately for automation. The signals can trigger alerts that connect to trading bots. Q: Why do I see conflicting signals? A: This is normal during transition periods. Wait for all confirmation layers to align before entering. Q: How often should I expect signals? A: Depends on timeframe and market conditions. On 5m charts during trending markets: 3-7 quality setups per session. Q: Can I use only some features? A: Yes, all components can be toggled on/off. However, the system works best with all confirmations active. Q: What's the difference between internal and swing structures? A: Internal = minor price structures (smaller pivots). Swing = major price structures (larger pivots). Both provide different levels of confirmation. DISCLAIMER This indicator is a tool for technical analysis and should not be the sole basis for trading decisions. Past performance does not guarantee future results. Always: Use proper risk management Test on demo accounts first Never risk more than you can afford to lose Combine with fundamental analysis when applicable Understand that no indicator is 100% accurate License: Mozilla Public License 2.0 Author: DrFXGOD VERSION HISTORY & UPDATES Initial Release - Version 1.0 Integrated SuperTrend, Range Filters, ADX, SMC concepts ATR-based risk management Multi-timeframe support Customizable visual elements SUPPORT & DOCUMENTATION For questions, suggestions, or bug reports, please comment on the script page or contact the author through TradingView. Additional Resources: Smart Money Concepts: Research ICT (Inner Circle Trader) materials ATR and Volatility: Refer to Wilder's original ATR documentation SuperTrend Indicator: Study original SuperTrend strategy papers
Wskaźnik Pine Script®
od Heuchache
9
Directional Momentum VisualizerDescription This script provides a color-coded column visualization of a classic momentum oscillator that measures relative strength and weakness. Instead of a single line, it uses conditional coloring to make directional changes easier to identify at a glance. The tool is designed for clarity and adaptability, offering both column and line displays, with optional overbought, oversold, and midpoint guides. How It Works The script evaluates the oscillator’s value relative to a midpoint and its previous reading. Depending on whether it’s above or below the midpoint — and whether it’s rising or falling — each column changes color: Strong upward momentum (above midpoint and rising) → bright green Fading upward momentum (above midpoint but falling) → pale green Strong downward momentum (below midpoint and falling) → bright red Fading downward momentum (below midpoint but rising) → pale red Unchanged from the previous value → gray This structure makes momentum shifts instantly visible without relying on line crossings or alerts. Key Features Color-coded momentum columns for instant visual interpretation Adjustable midpoint, overbought, and oversold levels Optional line overlay for smoother reference Dynamic background highlighting in extreme zones Works on any symbol or timeframe Inputs Overview Length: Controls the sensitivity of the oscillator calculation. Source: Selects the price source (Close, HL2, etc.). Midpoint Level: Defines the central reference level separating bullish and bearish momentum. Show Line: Toggles visibility of the traditional line overlay. Overbought / Oversold Levels: Define upper and lower boundaries for potential exhaustion zones. How to Use Add the script to your chart from the Indicators tab. Adjust the midpoint and level settings to fit your preferred configuration. Observe how column colors shift to reflect strength or weakness in momentum. Use these transitions as visual context, not as trade signals. How it Helps This visual approach offers a clearer perspective on momentum dynamics by replacing the traditional single-line display with color-coded columns. The conditional coloring instantly reveals whether momentum is strengthening or weakening around a chosen midpoint, making trend shifts and fading pressure easier to interpret at a glance. It helps reduce visual noise and allows for quicker, more intuitive analysis of market behavior. This tool is intended purely as a visual aid to help identify changing momentum conditions at a glance. It is not a buy or sell signal generator and should be used in combination with other forms of analysis and sound risk management. ⚠️ Disclaimer: This script is provided for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for every investor. Users should perform their own due diligence and consult with a licensed financial advisor before making any trading decisions. The author does not guarantee any profits or results from using this script, and assumes no liability for any losses incurred. Use this script at your own risk.
Wskaźnik Pine Script®
od IndicatorEliteFlow
Triple EMA strategy by kingtraderthis strategy is purely based on moving everages, ema5, ema50 and ema200, avoid ranging market. in 1 mint your tp should 15-20pips, in 3mint tp should be 25pips, in 5mint tp should not above 50pips, in 15mints make tp 60 to 80 pips, in 30 mints tp 150 and 1h and h4 ur tp above 200pips, when target achieves have partial closing and keep ur trade breakeven. this indicator is for educational purpose only any loss by using this indicator, the author will not be responsible.
Wskaźnik Pine Script®
od epicreadshub
Mythical EMAs + Dynamic VWAP BandThis indicator titled "Mythical EMAs + Dynamic VWAP Band." It overlays several volatility-adjusted Exponential Moving Averages (EMAs) on the chart, along with a Volume Weighted Average Price (VWAP) line and a dynamic band around it. Additionally, it uses background coloring (clouds) to visualize bullish or bearish trends, with intensity modulated by the price's position relative to the VWAP. The EMAs are themed with mythical names (e.g., Hermes for the 9-period EMA), but this is just stylistic flavoring and doesn't affect functionality. I'll break it down section by section, explaining what each part does, how it works, and its purpose in the context of technical analysis. This indicator is designed for traders to identify trends, momentum, and price fairness relative to volume-weighted averages, with volatility adjustments to make the EMAs more responsive in volatile markets. ### 1. **Volatility Calculation (ATR)** ```pine atrLength = 14 volatility = ta.atr(atrLength) ``` - **What it does**: Calculates the Average True Range (ATR) over 14 periods (a common default). ATR measures market volatility by averaging the true range (the greatest of: high-low, |high-previous close|, |low-previous close|). - **Purpose**: This volatility value is used later to dynamically adjust the EMAs, making them more sensitive in high-volatility conditions (e.g., during market swings) and smoother in low-volatility periods. It helps the indicator adapt to changing market environments rather than using static EMAs. ### 2. **Custom Mythical EMA Function** ```pine mythical_ema(src, length, base_alpha, vol_factor) => alpha = (2 / (length + 1)) * base_alpha * (1 + vol_factor * (volatility / src)) ema = 0.0 ema := na(ema ) ? src : alpha * src + (1 - alpha) * ema ema ``` - **What it does**: Defines a custom function to compute a modified EMA. - It starts with the standard EMA smoothing factor formula: `2 / (length + 1)`. - Multiplies it by a `base_alpha` (a user-defined multiplier to tweak responsiveness). - Adjusts further for volatility: Adds a term `(1 + vol_factor * (volatility / src))`, where `vol_factor` scales the impact, and `volatility / src` normalizes ATR relative to the source price (making it scale-invariant). - The EMA is then calculated recursively: If the previous EMA is NA (e.g., at the start), it uses the current source value; otherwise, it weights the current source by `alpha` and the prior EMA by `(1 - alpha)`. - **Purpose**: This creates "adaptive" EMAs that react faster in volatile markets (higher alpha when volatility is high relative to price) without overreacting in calm periods. It's an enhancement over standard EMAs, which use fixed alphas and can lag in choppy conditions. The mythical theme is just naming—functionally, it's a volatility-weighted EMA. ### 3. **Calculating the EMAs** ```pine ema9 = mythical_ema(close, 9, 1.2, 0.5) // Hermes - quick & nimble ema20 = mythical_ema(close, 20, 1.0, 0.3) // Apollo - short-term foresight ema50 = mythical_ema(close, 50, 0.9, 0.2) // Athena - wise strategist ema100 = mythical_ema(close, 100, 0.8, 0.1) // Zeus - powerful oversight ema200 = mythical_ema(close, 200, 0.7, 0.05) // Kronos - long-term patience ``` - **What it does**: Applies the custom EMA function to the close price with varying lengths (9, 20, 50, 100, 200 periods), base alphas (decreasing from 1.2 to 0.7 for longer periods to make shorter ones more responsive), and volatility factors (decreasing from 0.5 to 0.05 to reduce volatility influence on longer-term EMAs). - **Purpose**: These form a multi-timeframe EMA ribbon: - Shorter EMAs (e.g., 9 and 20) capture short-term momentum. - Longer ones (e.g., 200) show long-term trends. - Crossovers (e.g., short EMA crossing above long EMA) can signal buy/sell opportunities. The volatility adjustment makes them "mythical" by adding dynamism, potentially improving signal quality in real markets. ### 4. **VWAP Calculation** ```pine vwap_val = ta.vwap(close) // VWAP based on close price ``` - **What it does**: Computes the Volume Weighted Average Price (VWAP) using the built-in `ta.vwap` function, anchored to the close price. VWAP is the average price weighted by volume over the session (resets daily by default in Pine Script). - **Purpose**: VWAP acts as a benchmark for "fair value." Prices above VWAP suggest bullishness (buyers in control), below indicate bearishness (sellers dominant). It's commonly used by institutional traders to assess entry/exit points. ### 5. **Plotting EMAs and VWAP** ```pine plot(ema9, color=color.fuchsia, title='EMA 9 (Hermes)') plot(ema20, color=color.red, title='EMA 20 (Apollo)') plot(ema50, color=color.orange, title='EMA 50 (Athena)') plot(ema100, color=color.aqua, title='EMA 100 (Zeus)') plot(ema200, color=color.blue, title='EMA 200 (Kronos)') plot(vwap_val, color=color.yellow, linewidth=2, title='VWAP') ``` - **What it does**: Overlays the EMAs and VWAP on the chart with distinct colors and titles for easy identification in TradingView's legend. - **Purpose**: Visualizes the EMA ribbon and VWAP line. Traders can watch for EMA alignments (e.g., all sloping up for uptrend) or price interactions with VWAP. ### 6. **Dynamic VWAP Band** ```pine band_pct = 0.005 vwap_upper = vwap_val * (1 + band_pct) vwap_lower = vwap_val * (1 - band_pct) p1 = plot(vwap_upper, color=color.new(color.yellow, 0), title="VWAP Upper Band") p2 = plot(vwap_lower, color=color.new(color.yellow, 0), title="VWAP Lower Band") fill_color = close >= vwap_val ? color.new(color.green, 80) : color.new(color.red, 80) fill(p1, p2, color=fill_color, title="Dynamic VWAP Band") ``` - **What it does**: Creates a band ±0.5% around the VWAP. - Plots the upper/lower bands with full transparency (color opacity 0, so lines are invisible). - Fills the area between them dynamically: Semi-transparent green (opacity 80) if close ≥ VWAP (bullish bias), red if below (bearish bias). - **Purpose**: Highlights deviations from VWAP visually. The color change provides an at-a-glance sentiment indicator—green for "above fair value" (potential strength), red for "below" (potential weakness). The narrow band (0.5%) focuses on short-term fairness, and the fill makes it easier to spot than just the line. ### 7. **Trend Clouds with VWAP Interaction** ```pine bullish = ema9 > ema20 and ema20 > ema50 bearish = ema9 < ema20 and ema20 < ema50 bullish_above_vwap = bullish and close > vwap_val bullish_below_vwap = bullish and close <= vwap_val bearish_below_vwap = bearish and close < vwap_val bearish_above_vwap = bearish and close >= vwap_val bgcolor(bullish_above_vwap ? color.new(color.green, 50) : na, title="Bullish Above VWAP") bgcolor(bullish_below_vwap ? color.new(color.green, 80) : na, title="Bullish Below VWAP") bgcolor(bearish_below_vwap ? color.new(color.red, 50) : na, title="Bearish Below VWAP") bgcolor(bearish_above_vwap ? color.new(color.red, 80) : na, title="Bearish Above VWAP") ``` - **What it does**: Defines trend conditions based on EMA alignments: - Bullish: Shorter EMAs stacked above longer ones (9 > 20 > 50, indicating upward momentum). - Bearish: The opposite (downward momentum). - Sub-conditions combine with VWAP: E.g., bullish_above_vwap is true only if bullish and price > VWAP. - Applies background colors (bgcolor) to the entire chart pane: - Strong bullish (above VWAP): Green with opacity 50 (less transparent, more intense). - Weak bullish (below VWAP): Green with opacity 80 (more transparent, less intense). - Strong bearish (below VWAP): Red with opacity 50. - Weak bearish (above VWAP): Red with opacity 80. - If no condition matches, no color (na). - **Purpose**: Creates "clouds" for trend visualization, enhanced by VWAP context. This helps traders confirm trends—e.g., a strong bullish cloud (darker green) suggests a high-conviction uptrend when price is above VWAP. The varying opacity differentiates signal strength: Darker for aligned conditions (trend + VWAP agreement), lighter for misaligned (potential weakening or reversal). ### Overall Indicator Usage and Limitations - **How to use it**: Add this to a TradingView chart (e.g., stocks, crypto, forex). Look for EMA crossovers, price bouncing off EMAs/VWAP, or cloud color changes as signals. Bullish clouds with price above VWAP might signal buys; bearish below for sells. - **Strengths**: Combines momentum (EMAs), volume (VWAP), and volatility adaptation for a multi-layered view. Dynamic colors make it intuitive. - **Limitations**: - EMAs lag in ranging markets; volatility adjustment helps but doesn't eliminate whipsaws. - VWAP resets daily (standard behavior), so it's best for intraday/session trading. - No alerts or inputs for customization (e.g., changeable lengths)—it's hardcoded. - Performance depends on the asset/timeframe; backtest before using. - **License**: Mozilla Public License 2.0, so it's open-source and modifiable.
Wskaźnik Pine Script®
od Panos1389
VWAP Entry Assistant (v1.0)Description: Anchored VWAP with a lightweight assistant for VWAP reversion trades. It shows the distance to VWAP, an estimated hit probability for the current bar, the expected number of bars to reach VWAP, and a recommended entry price. If the chance of touching VWAP is low, the script suggests an adjusted limit using a fraction of ATR. The VWAP line is white by default, and a compact summary table appears at the bottom-left. Educational tool. Not financial advice. Not affiliated with TradingView or any exchange. Always backtest before use.
Wskaźnik Pine Script®
od Seaman88
Multi-Timeframe SFP (Swing Failure Pattern)How to Use 1. Set Pivot Timeframe: Choose the timeframe for identifying major swing points (e.g., 'D' for Daily pivots). 2. Set SFP Timeframe: Choose the timeframe to find the SFP candle (e.g., '240' for the 4-Hour chart). 3. Set Confirmation Bars: Set how many SFP Timeframe bars must pass without invalidating the level. A value of '0' confirms immediately on the SFP bar's close. A value of '1' waits for one more bar to close. 4. Adjust Filters (Optional): Enable the 'Wick % Filter' to add a quality check for strong rejections. 5. Watch & Wait: The indicator will draw lines and labels and fire alerts for fully confirmed signals. In-Depth Explanation 1. Overview The Dynamic Pivot SFP Engine is a multi-timeframe tool designed to identify and validate Swing Failure Patterns (SFPs) at significant price levels. An SFP is a common price action pattern where price briefly trades beyond a previous swing high or low (sweeping liquidity) but then fails to hold those new prices, closing back inside the previous range. This "failure" often signals a reversal. This indicator enhances SFP detection by separating the Pivot (Liquidity) from the SFP (Rejection), allowing you to monitor them on different timeframes. 2. The Core Multi-Timeframe Logic The indicator's power comes from two key inputs: • Pivot Timeframe (Pivot Timeframe) This is the "high timeframe" used to establish significant support and resistance levels. The script finds standard pivots (swing highs and lows) on this timeframe based on the Pivot Left Strength and Pivot Right Strength inputs. These pivots are the "liquidity" levels the SFP will target. The Pivot Lookback input controls how long (in Pivot Timeframe bars) a pivot remains active and monitored. • SFP Timeframe (SFP Timeframe) This is the "execution timeframe" where the script looks for the actual SFP. On every new bar of this timeframe, the script checks if price has swept and rejected any of the active pivots. Example Setup: You might set Pivot Timeframe to 'D' (Daily) to find major daily swing points. You then set SFP Timeframe to '240' (4-Hour) to find a 4-hour candle that sweeps a daily pivot and closes back below/above it. 3. The SFP Confirmation Process An SFP is not confirmed instantly. It must pass a rigorous, multi-step validation process. Step 1: The SFP Candle (The Sweep) A potential SFP is identified when an SFP Timeframe bar does the following: • Bearish SFP: The bar's high trades above an active pivot high, but the bar closes below that same pivot high. • Bullish SFP: The bar's low trades below an active pivot low, but the bar closes above that same pivot low. Step 2: The Wick Filter (Optional Quality Check) If Enable Wick % Filter is checked, the SFP candle from Step 1 is also measured. • For a bearish SFP, the upper wick (from the high to the open/close) must be at least Min. Wick % of the entire candle's range (high-to-low). • For a bullish SFP, the lower wick (from the low to the open/close) must meet the same percentage requirement. If the SFP candle fails this test, it is discarded, even if it met the sweep/close criteria. Step 3: The Validation Window (The Confirmation) This is the most critical feature, controlled by Confirmation Bars. • If Confirmation Bars = 0: The SFP is confirmed immediately on the SFP candle's close (assuming it passed the optional wick check). The label, line, and alert are triggered at this moment. • If Confirmation Bars > 0: The SFP enters a "pending" state. The script will wait for $N$ more SFP Timeframe bars to close. o Invalidation: If, during this waiting period, any bar closes back across the pivot (e.g., a close above the pivot for a bearish SFP), the SFP is considered failed and invalidated. All pending plots are deleted. o Confirmation: If the $N$ confirmation bars all complete without invalidating the level, the SFP is finally confirmed. The label, line, and alert are only triggered after this entire process is complete. This adds a significant layer of robustness, ensuring the rejection holds for a period of time. 4. Visuals & Alerts • Lines: A horizontal line is drawn from the original pivot to the SFP bar, showing which level was targeted. Note: These lines will only be drawn on chart timeframes equal to or lower than the 'SFP Timeframe'. • Labels: A label is placed at the SFP's extreme (the high/low of the SFP bar). The label text conveniently includes the Ticker, Pivot TF, SFP TF, and Confirmation bar settings (e.g., "Bearish SFP BTCUSD / Pivot: 1D / SFP: 4H | Conf: 1"). • MTF Boxes (Show SFP Box, Show Conf. Boxes): These boxes highlight the SFP and confirmation bars. Crucially, they are only visible when your chart timeframe is lower than the SFP Timeframe. For example, if your SFP Timeframe is '240' (4H), you will only see these boxes on the 1H, 15M, 5M, etc., charts. This allows you to see the higher-timeframe SFP unfolding on your lower-timeframe chart. • Alerts (Enable Alerts): An alert is fired only when an SFP is fully confirmed (i.e., after the Confirmation Bars have passed successfully). For efficient, real-time monitoring, it is highly recommended to run this indicator server-side by creating an alert on TradingView set to trigger on "Any alert() function call".
Wskaźnik Pine Script®
od nickbonenkamp