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Point of Control [BigBeluga]🔵 OVERVIEW Point of Control identifies the exact price level with the highest traded volume over a selected lookback period. This level—called the Point of Control (PoC) —marks where the greatest market participation occurred, representing a zone of highest volume. The indicator helps traders visualize dominant volume concentrations, fair-value levels, and structural balance within recent price action. 🔵 CONCEPTS Point of Control (PoC) — The single price level within the defined lookback range that has accumulated the most traded volume. Volume Distribution Bins — The price range is divided into 25 equal bins, and volume is aggregated per bin to locate the maximum concentration. Range Boundaries — The highest and lowest price within the lookback window are used to form the upper and lower reference limits. PoC Channel — Optional upper and lower bands plotted around the main PoC to visualize a fair-value corridor. Volume Intensity Mapping — Candle color dynamically shifts based on the candle’s position relative to the PoC channel, showing whether price is balanced or trending away from high-volume levels. 🔵 FEATURES Configurable Lookback Range — Adjust how many bars (10–400) are used for calculating the PoC. Precise PoC Calculation — Volume aggregation across 25 bins to identify the exact volume peak. Dynamic Channel Visualization — PoC bands above and below the central level to indicate equilibrium tolerance. Adaptive Candle Coloring — - Neutral → price inside PoC channel. Gray - Bullish → price above PoC channel. Blue 🔵 - Bearish → price below PoC channel. Orange 🟠 Automatic Volume Labeling — Displays total volume at the active PoC level for quick reference. Directional Indicators — 🔵 or 🟠 markers appear when price shifts above or below the PoC channel. Range Visualization — Plots the highest and lowest points of the active lookback window for contextual awareness. Live Updating Logic — PoC recalculates automatically every 15 bars for efficient chart performance and accuracy. 🔵 HOW TO USE Volume Anchoring — Use PoC as a reference for where the majority of volume occurred; price often reacts to or consolidates around this level. Trend Confirmation — Sustained price movement away from PoC channel may signal developing directional imbalance. Value Tracking — Watch the shifting of PoC across time to identify where fair value migrates during market evolution. Equilibrium Mapping — When price hovers around PoC, the market is balanced; when it departs, a new value zone may form. Combine With Volume Profiles — Use alongside profile tools for higher-resolution analysis of institutional activity. 🔵 CONCLUSION Point of Control provides a pure, volume-centric view of market balance by pinpointing where most transactions occurred within any chosen range. It delivers a clean and efficient visualization of fair value zones—helping traders track the heartbeat of market participation, recognize dominant liquidity areas, and stay aligned with where true market interest resides.
Penunjuk Pine Script®
oleh BigBeluga
14
Price Prediction Forecast ModelPrice Prediction Forecast Model This indicator projects future price ranges based on recent market volatility. It does not predict exact prices — instead, it shows where price is statistically likely to move over the next X bars. How It Works Price moves up and down by different amounts each bar. This indicator measures how large those moves have been recently (volatility) using the standard deviation of log returns. That volatility is then: Projected forward in time Scaled as time increases (uncertainty grows) Converted into future price ranges The further into the future you project, the wider the expected range becomes. Volatility Bands (Standard Deviation–Based) The indicator plots up to three projected volatility bands using standard deviation multipliers: SD1 (1.0×) → Typical expected price movement SD2 (1.25×) → Elevated volatility range SD3 (1.5×) → High-volatility / stress range These bands are based on standard deviation of volatility, not fixed probability guarantees. Optional Drift An optional drift term can be enabled to introduce a long-term directional bias (up or down). This is useful for markets with persistent trends.
Penunjuk Pine Script®
oleh followmytradingjournal
cd_VW_Cx IMPROVED - Quant VWAP System: Regime, Magnets & Z-ScoQuant VWAP System: Regime, Magnets & Z-Score Matrix This indicator is a comprehensive Quantitative Trading System designed to move beyond simple support and resistance. Instead of static lines, it uses Statistical Probability (Z-Score) and Standard Deviation to define the current market regime, identify institutional value zones, and project high-probability liquidity targets. It is engineered for Day Traders and Scalpers (Crypto & Futures) who need to know if the market is Trending, Ranging, or preparing for a Breakout. 1. The "Regime" System (Standard Deviation Bands) The core engine anchors a VWAP (Volume Weighted Average Price) to your chosen timeframe (Daily, Weekly, or Monthly) and projects volatility bands based on market variance. The Trend Zone (Inner Band / 1.0 SD): This is the "Fair Value" zone. In a healthy trend, price will pull back into this zone and hold. A hold here signals a high-probability continuation (Trend Following). The Reversion Zone (Outer Band / 2.0 SD): This represents a statistical extreme. Price rarely sustains movement beyond 2 Standard Deviations without a reversion. A touch of this band signals "Overbought" or "Oversold" conditions. 2. Liquidity Magnets (Virgin VWAPs) The script automatically tracks "Unvisited VWAPs" from previous sessions. These are price levels where significant volume occurred but have not yet been re-tested. The Logic: Algorithms often target these "open loops." The script visualizes them as Blue Dashed Lines with price tags. Smart Scaling (Anti-Scrunch): Includes a custom "Ghost Engine" that automatically hides or "ghosts" magnets that are too far away. This prevents your chart from being squashed (scrunched) on lower timeframes, keeping your candles perfectly readable while still tracking targets in the background. 3. The Quant Matrix (Dashboard) A real-time Heads-Up Display (HUD) that interprets the data for you: Regime: Detects Volatility Squeezes. If the bands compress, it signals "⚠ SQUEEZE", warning you to stop mean-reversion trading and prepare for an explosive breakout. Bias: Color-coded Trend Direction (Bullish/Bearish) based on VWAP slope. Signal: actionable text prompts such as "BUY DIP" (Trend Following), "FADE EXT" (Mean Reversion), or "PREP BREAK" (Squeeze). 4. Visual Intelligence Bold Day Separators: Clear, vertical dotted dividers with Date Stamps to instantly separate trading sessions. Dynamic Labels: Floating labels on the right axis identify exactly which deviation level is which, preventing chart confusion. How to Use Strategy A: The Trend Pullback (continuation) Check Matrix: Ensure Bias is BULLISH (Green). Wait: Allow price to pull back into the Inner Band (Dark Green Zone). Trigger: If price holds the Center VWAP or the -1.0 SD line, enter Long. Target: The next Liquidity Magnet above or the +2.0 SD band. Strategy B: The Reversion Fade (Counter-Trend) Check Matrix: Ensure price is labeled "EXTREME" or Signal says "FADE EXT". Trigger: Price touches or pierces the Outer Band (2.0 SD). Action: Enter counter-trend (Short) with a target back to the Center VWAP (Mean Reversion). Strategy C: The Magnet Target Identify a "MAGNET" line (Blue Dashed) near current price. These act as high-probability Take Profit levels. Price will often rush to these levels to "close the loop" before reversing. Settings Anchor: Daily (default), Weekly, or Monthly. Magnet Focus Range: Adjusts how aggressively the script hides distant magnets to fix chart scaling (Default: 2%). Visuals: Fully customizable colors, label sizes, and dashboard position.
Penunjuk Pine Script®
oleh CustomQuantLabs
2
NeuroPolynomial ChannelNeuroPolynomial Channel is a structure-oriented price channel designed to model price curvature, balance, and realized deviation using recursive non-linear smoothing. Rather than relying on standard moving averages or statistical volatility assumptions, the indicator separates structure estimation from deviation measurement, allowing each to adapt independently. Structural Core (Recursive Curvature Line) The centerline is generated using a recursive smoothing process with controlled curvature. By blending current price with historical estimates and introducing a curvature term, the line forms a non-linear structural path that adapts gradually to changing market conditions. This approach emphasizes: Structural continuity over short-term noise Gradual regime transitions instead of abrupt shifts User-controlled responsiveness via curvature and blending parameters The result is a centerline that reflects price structure, not just short-term averages. Deviation Field (Adaptive Bands) Channel width is derived from the observed absolute deviation between price and the structural core. Instead of assuming a normal distribution, deviation is measured directly from realized price behavior and expressed through multiple band layers: Inner structure boundary Intermediate deviation zone (optional) Outer deviation boundary (optional) As price behavior changes, the deviation field expands or contracts organically, providing a contextual view of compression, balance, and expansion. Interpretation Framework Balance & Control Persistent acceptance on one side of the structural core reflects directional control. Compression Narrow deviation bands signal reduced realized movement and potential energy buildup. Expansion Widening bands indicate increasing deviation and active range development. .................................................................................................................. The indicator is intended for contextual interpretation, not mechanical signal generation. Configuration Length – Structural memory depth Morph Factor – Degree of historical blending Flatten Factor – Curvature sensitivity control Deviation Multipliers – Band spacing Visual Controls – Theme and candle tinting Notes: Deviation is derived from realized price movement and adapts gradually. Recursive calculations initialize from available chart history. This tool does not forecast future prices. Disclaimer: This indicator is provided for analytical and educational purposes only. It does not constitute financial advice or a trading recommendation.
Penunjuk Pine Script®
oleh NeuralMarkets
VD FRFS PRO VD FRFS PRO This trader centric, multi-functional indicator built on **Pine Script™ v6** that seamlessly integrates four of the most critical price and volatility tools into a single overlay. Designed for day traders, swing traders, and institutional analysts, this tool provides a comprehensive view of volatility, trend, volume-based pricing, and structure, all without chart clutter. Overview & Concept The VD FRFS PRO is engineered for efficiency and clarity. Instead of layering four separate indicators, which can lead to performance issues and confusion, this script combines the calculations into one, allowing traders to execute complex technical analysis rapidly. It serves as a powerful foundation for strategies that require: 1. Volatility Assessment (Bollinger Bands) 2. Volume-Weighted Fair Value (VWAP) 3. Price Structure & Swings (Zig Zag) 4. Dynamic Trend Filtering (Configurable SMA) Customization & Settings All inputs are logically grouped for ease of use in the indicator's settings menu. Bollinger Bands BB Length: Period for the Basis SMA and StdDev calculation (default: 20). BB Source: Price series for the calculation (default: `close`). BB StdDev Multiplier: Multiplier for the Standard Deviation (default: 2.0). BB Offset: Shifts the bands horizontally (default: 0). VWAP Settings VWAP Source: Price series for the VWAP calculation (default: `hlc3`). Zig Zag Settings Zig Zag High/Low Length: Lookback period for determining swing points (default: 3). SMA Settings SMA Period: Lookback period for the configurable SMA (default: 20). Show SMA: Checkbox to toggle the visibility of this SMA (default: `true`). Disclaimer Feel free to reach out for suggestions and modification requests.
Penunjuk Pine Script®
oleh vishaldhawan82
Keltner Hull Suite [QuantAlgo]🟢 Overview The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes. 🟢 How It Works The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness: hullMA = ta.hma(priceSource, hullPeriod) The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process: tr = ta.tr(true) smoothTR = ta.ema(tr, keltnerPeriod) doubleSmooth = ta.ema(smoothTR, keltnerPeriod) deviation = doubleSmooth * keltnerMultiplier Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation: upperBound = hullMA + deviation lowerBound = hullMA - deviation The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound: if upperBound < trendLine trendLine := upperBound if lowerBound > trendLine trendLine := lowerBound Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction: trendUp = trendLine > trendLine trendDown = trendLine < trendLine longSignal = trendState == 1 and trendState != 1 shortSignal = trendState == -1 and trendState != -1 The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction. 🟢 How to Use This Indicator ▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment. ▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions. ▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration. ▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring. ▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
Penunjuk Pine Script®
oleh QuantAlgo
10
NQ-VIX Expected Move LevelsNQ -VIX Daily Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Open + (NQ Price × VIX ÷ √252 ÷ 100) Lower Band = Daily Open - (NQ Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's open Lower band (red) contracts from the current day's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current NQ price and VIX level Daily Open Expected move
Penunjuk Pine Script®
oleh alanjeremiebarbe
NQ-VIX Expected Move LTF LevelsNQ -VIX LTF Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current NQ price and VIX level Current input TF Open Expected move
Penunjuk Pine Script®
oleh alanjeremiebarbe
ES-VIX Expected Move LTF LevelsES-VIX LTF Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current ES price and VIX level Current input TF Open Expected move
Penunjuk Pine Script®
oleh alanjeremiebarbe
ES-VIX Expected Move - Open basedES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Open + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily Open - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's open Lower band (red) contracts from the current day's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current ES price and VIX level Daily Open Expected move
Penunjuk Pine Script®
oleh alanjeremiebarbe
Buy/Sell Signals [WynTrader]Hello dear Friend Here is a new version ( B-S_251121_wt ) of my Buy/Sell Signals indicator. Some calculation updates and useful enhancements have been applied. Concepts This Buy/Sell Signals indicator generates Buy/Sell signals as accurately as possible, identifying trend changes. Compared to other tools that detect trend shifts, this one is simple, easy to use, and demonstrates its efficiency on its own. - Its features are carefully designed to minimize false signals while ensuring optimal signal placement. - The Table results allow you to quickly evaluate signal performance, both on their own and compared to a Buy & Hold strategy. - The Table calculations are fully synchronized with the visible chart (WYSIWYG – What You See Is What You Get). You can also scroll the chart across different date ranges to see how a stock or product performs under various market conditions. - Seeing Buy/Sell signals on a chart is appealing, but assessing their performance in a Table makes it even more convincing. And without running a full backtest, you can get a clear overview of overall performance immediately. Features This indicator generates Buy/Sell signals using: - Fast and Slow Moving Averages (adjustable). - Bollinger Bands (adjustable). - Filters (optional, adjustable) to refine signals, including : Bollinger Bands Lookback Trend Filter; High-Low vs Candle Range Threshold %; Distance from Fast and Slow MAs Threshold %. - Results are displayed in a Table on the chart, based on the currently visible start and end dates. Functionality - The indicator aims to confirm trend changes through timely Buy/Sell signals. - It uses two Moving Averages and Bollinger Bands, combined with filters such as BB Lookback, -- The variable settings have been tested with a mix of manual and AI testing to find the optimal configuration. You can adjust the variables to suit your goals. - The design is simple, with clear parameters and instant readability of Buy/Sell Signals on the chart and in the Table results, without complex interpretation needed. - It works effectively by requiring both trend confirmation and volatility control management. - Signals are timed to be as accurate as possible, avoiding futile weak or false ones. - A Table shows the effectiveness of the signals on the current visible chart, providing immediate, realistic feedback. The Buy & Hold strategy results are also included for comparison with the Buy/Sell swing strategy. The Buy & Hold results start from the first Buy signal to ensure a fair comparison. - Changing the parameters instantly updates the Table, giving a quick, at-a-glance performance check. Caution - No technical tool is perfect; it cannot predict disasters, wars, or the actions of large fund managers or short sellers. - After testing thousands of TradingView indicators over 24 years, I’ve found none to be 100% accurate all the time. - This Buy/Sell Signals indicator may outperform some others but is still not perfect. So, just be aware, and don’t be fooled by this tool.
Penunjuk Pine Script®
oleh Wyn-Trader
Bollinger Band Width Oscillator %🧠 Bollinger Band Width Oscillator % The Bollinger Band Width Oscillator % is a volatility-focused tool that measures the relative width of Bollinger Bands and transforms it into an oscillator format. It helps traders visualize volatility expansions and contractions directly in an indicator pane — a powerful way to anticipate breakout or consolidation phases. 🔍 How It Works Band Width %: Calculates the percentage distance between the upper and lower Bollinger Bands relative to the basis (SMA). Smoothed Output: The raw bandwidth is smoothed using a moving average for cleaner, more stable signals. Dynamic Volatility Zones: The script automatically computes average, high, and low volatility thresholds — each dynamically adapting to market conditions. User-Adjustable Multipliers: Control how sensitive your high/low zones are with the High Zone Multiplier and Low Zone Multiplier inputs. ⚙️ Key Features 📊 Oscillator Format – Easy-to-read visualization of volatility compression and expansion. 🔥 High/Low Volatility Detection – Automatic labeling and color-coded alerts for shifts in volatility. 🧩 Dynamic Thresholds – Zones adjust automatically with market activity for adaptive sensitivity. 🧠 Hysteresis Logic – Prevents rapid signal flipping, improving clarity and reliability. 🎨 Custom Visuals – Adjustable smoothing and background highlights for quick interpretation. 📈 Trading Applications Identify Breakouts: Rising bandwidth often precedes price breakouts. Spot Consolidations: Low bandwidth indicates tightening volatility and potential range trades. Volatility Regime Analysis: Understand market rhythm and adapt strategies accordingly. ⚡ Inputs Parameter Description Band Length Period for Bollinger Band calculation Band Multiplier Standard deviation multiplier for the bands Source Price source (default: close) Smoothing Period for smoothing the oscillator line High Zone Multiplier Adjusts the high-volatility threshold Low Zone Multiplier Adjusts the low-volatility threshold Highlight Volatility Zones Optional background color overlay 🧊 Usage Tip Combine this indicator with momentum tools or price action analysis to confirm trade setups. Watch for transitions from low to high volatility zones — these often signal the beginning of major market moves.
Penunjuk Pine Script®
oleh Bmaloney
Blue Dot Red DotInspired by Dr Wish This script is a confluence indicator designed to identify potential trend reversals or "mean reversion" trade setups. It plots buy (blue) and sell (red) dots directly on your price chart. The core strategy is to find moments where price is overextended (using Bollinger Bands) and momentum is simultaneously reversing (using the Stochastic Oscillator). A signal is only generated when both of these conditions are met. Core Components The script combines two classic technical indicators: Bollinger Bands (BB): These create a "channel" around the price based on a simple moving average (the basis) and a standard deviation (dev). Upper Band: Basis + (2.0 * StdDev) Lower Band: Basis - (2.0 * StdDev) In this script, the bands are used to identify when the price has moved significantly far from its recent average, suggesting it's "overbought" (at the upper band) or "oversold" (at the lower band) and may be due for a pullback. Stochastic Oscillator: This is a momentum oscillator that compares a closing price to its price range over a certain period. It consists of two lines: %K (the main, faster line) and %D (a moving average of %K, the slower signal line). It's used to identify overbought and oversold momentum conditions and, more importantly, momentum shifts, which are signaled by the %K and %D lines crossing. Signal Logic: How the Dots Are Generated This script's "secret sauce" is that it demands three specific conditions to be true at the same time before plotting a dot. 🔵 Blue Dot (Buy Signal) A blue dot will appear below a price bar if all three of these conditions are met: Stochastic Crossover: The faster %K line crosses above the slower %D line (ta.crossover(k, d)). This signals that short-term momentum is starting to turn bullish. Was Oversold: On the previous bar, the %K line was below the "Oversold Threshold" (was_oversold = k < oversold). This ensures the bullish crossover is happening from an oversold (or at least bearish) momentum state. Note: The default oversold threshold is set to 50. This is a key detail. It means the script is looking for a bullish crossover that originates from anywhere in the bottom half of the Stochastic range, not just the traditional "extreme" oversold area (like 20). Price Extension: Within the last 3 bars (the current bar or the two before it), the price's low must have touched or gone below the lower Bollinger Band (bb_touch_lower). This confirms that the price itself is in an "oversold" or overextended area. In plain English: A blue dot appears when the price has recently dipped to an extreme low (touching the lower BB) and its underlying momentum has just started to turn back up (Stoch cross from the lower half). 🔴 Red Dot (Sell Signal) A red dot will appear above a price bar if all three of these conditions are met: Stochastic Crossunder: The faster %K line crosses below the slower %D line (ta.crossunder(k, d)). This signals that short-term momentum is starting to turn bearish. Was Overbought: On the previous bar, the %K line was above the "Overbought Threshold" (was_overbought = k > overbought). The default for this is 80, which is a traditional overbought level. Price Extension: Within the last 3 bars (the current bar or the two before it), the price's high must have touched or gone above the upper Bollinger Band (bb_touch_upper). This confirms that the price itself is in an "overbought" or overextended area. A red dot appears when the price has recently spiked to an extreme high (touching the upper BB) and its underlying momentum has just started to roll over and turn back down (Stoch cross from the overbought zone).
Penunjuk Pine Script®
oleh tommyttcat
2
CloudShiftCloudShift + Bollinger Bands This version of CloudShift now includes fully optimized Bollinger Bands with all three dynamic lines: Upper Band: Highlights expansion during volatility spikes. Lower Band: Identifies compression and accumulation zones. Centerline (Basis): A smooth reference of the moving average, providing better visual balance and directional context. The bands are drawn with thin, clean lime lines, designed to integrate perfectly with the cloud logic — keeping your chart minimalist yet powerful. This update enhances the CloudShift indicator by providing a clear visual framework of market volatility and structure without altering its original logic. Recommended for use on: NASDAQ, S&P 500, and other high-volatility futures. Recommended timeframe: 5–15 minutes.
Penunjuk Pine Script®
oleh THEGREATNAPLESTRADERX
Squeeze Momentum Regression Clouds [SciQua]╭──────────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ☁️ Squeeze Momentum Regression Clouds ╰──────────────────────────────────────────────╯ 🔍 Overview The Squeeze Momentum Regression Clouds (SMRC) indicator is a powerful visual tool for identifying price compression , trend strength , and slope momentum using multiple layers of linear regression Clouds. Designed to extend the classic squeeze framework, this indicator captures the behavior of price through dynamic slope detection, percentile-based spread analytics, and an optional UI for trend inspection — across up to four customizable regression Clouds . ──────────────────────────────────────────────────────────── ╭────────────────╮ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ⚙️ Core Features ╰────────────────╯ Up to 4 Regression Clouds – Each Cloud is created from a top and bottom linear regression line over a configurable lookback window. Slope Detection Engine – Identifies whether each band is rising, falling, or flat based on slope-to-ATR thresholds. Spread Compression Heatmap – Highlights compressed zones using yellow intensity, derived from historical spread analysis. Composite Trend Scoring – Aggregates directional signals from each Cloud using your chosen weighting model. Color-Coded Candles – Optional candle coloring reflects the real-time composite score. UI Table – A toggleable info table shows slopes, compression levels, percentile ranks, and direction scores for each Cloud. Gradient Cloud Styling – Apply gradient coloring from Cloud 1 to Cloud 4 for visual slope intensity. Weight Aggregation Options – Use equal weighting, inverse-length weighting, or max pooling across Clouds to determine composite trend strength. ──────────────────────────────────────────────────────────── ╭──────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ 🧪 How to Use the Indicator ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎ ‎ 1. Understand Trend Bias with Cloud Colors ╰──────────────────────────────────────────╯ Each Cloud changes color based on its current slope: Green indicates a rising trend. Red indicates a falling trend. Gray indicates a flat slope — often seen during chop or transitions. Cloud 1 typically reflects short-term structure, while Cloud 4 represents long-term directional bias. Watch for multi-Cloud alignment — when all Clouds are green or red, the trend is strong. Divergence among Clouds often signals a potential shift. ──────────────────────────────────────────────────────────── ╭───────────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ 2. Use Compression Heat to Anticipate Breakouts ╰───────────────────────────────────────────────╯ The space between each Cloud’s top and bottom regression lines is measured, normalized, and analyzed over time. When this spread tightens relative to its history, the script highlights the band with a yellow compression glow . This visual cue helps identify squeeze zones before volatility expands. If you see compression paired with a changing slope color (e.g., gray to green), this may indicate an impending breakout. ──────────────────────────────────────────────────────────── ╭─────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ 3. Leverage the Optional Table UI ╰─────────────────────────────────╯ The indicator includes a dynamic, floating table that displays real-time metrics per Cloud. These include: Slope direction and value , with historical Min/Max reference. Top and Bottom percentile ranks , showing how price sits within the Cloud range. Current spread width , compared to its historical norms. Composite score , which blends trend, slope, and compression for that Cloud. You can customize the table’s position, theme, transparency, and whether to show a combined summary score in the header. ──────────────────────────────────────────────────────────── ╭─────────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ 4. Analyze Candle Color for Composite Signals ╰─────────────────────────────────────────────╯ When enabled, the indicator colors candles based on a weighted composite score. This score factors in: The signed slope of each Cloud (up, down, or flat) The percentile pressure from the top and bottom bands The degree of spread compression Expect green candles in bullish trend phases, red candles during bearish regimes, and gray candles in mixed or low-conviction zones. Candle coloring provides a visual shorthand for market conditions , useful for intraday scanning or historical backtesting. ──────────────────────────────────────────────────────────── ╭────────────────────────╮ ‎ ‎ ‎ ‎ ‎‎ ‎‎‎ ‎ ‎ ‎ 🧰 Configuration Guidance ╰────────────────────────╯ To tailor the indicator to your strategy: Use Cloud lengths like 21, 34, 55, and 89 for a balanced multi-timeframe view. Adjust the slope threshold (default 0.05) to control how sensitive the trend coloring is. Set the spread floor (e.g., 0.15) to tune when compression is detected and visualized. Choose your weighting style : Inverse Length (favor faster bands), Equal, or Max Pooling (most aggressive). Set composite weights to emphasize trend slope, percentile bias, or compression—depending on your market edge. ──────────────────────────────────────────────────────────── ╭────────────────╮ ‎ ‎ ‎ ‎‎ ‎‎‎ ‎ ‎ ‎ ✅ Best Practices ╰────────────────╯ Use aligned Cloud colors across all bands to confirm trend conviction. Combine slope direction with compression glow for early breakout entry setups. In choppy markets, watch for Clouds 1 and 2 turning flat while Clouds 3 and 4 remain directional — a sign of potential trend exhaustion or consolidation. Keep the table enabled during backtesting to manually evaluate how each Cloud behaved during price turns and consolidations. ──────────────────────────────────────────────────────────── ╭───────────────────────╮ ‎ ‎ ‎ ‎‎ ‎ ‎ ‎‎ ‎‎ ‎ 📌 License & Usage Terms ╰───────────────────────╯ This script is provided under the Creative Commons Attribution-NonCommercial 4.0 International License . ✅ You are allowed to: Use this script for personal or educational purposes Study, learn, and adapt it for your own non-commercial strategies ❌ You are not allowed to: Resell or redistribute the script without permission Use it inside any paid product or service Republish without giving clear attribution to the original author For commercial licensing , private customization, or collaborations, please contact Joshua Danford directly.
Penunjuk Pine Script®
oleh JoshuaDanford
1
Volatility-Adjusted Momentum Score (VAMS) [QuantAlgo]🟢 Overview The Volatility-Adjusted Momentum Score (VAMS) measures price momentum relative to current volatility conditions, creating a normalized indicator that identifies significant directional moves while filtering out market noise. It divides annualized momentum by annualized volatility to produce scores that remain comparable across different market environments and asset classes. The indicator displays a smoothed VAMS Z-Score line with adaptive standard deviation bands and an information table showing real-time metrics. This dual-purpose design enables traders and investors to identify strong trend continuation signals when momentum persistently exceeds normal levels, while also spotting potential mean reversion opportunities when readings reach statistical extremes. 🟢 How It Works The indicator calculates annualized momentum using a simple moving average of logarithmic returns over a specified period, then measures annualized volatility through the standard deviation of those same returns over a longer timeframe. The raw VAMS score divides momentum by volatility, creating a risk-adjusted measure where high volatility reduces scores and low volatility amplifies them. This raw VAMS value undergoes Z-Score normalization using rolling statistical parameters, converting absolute readings into standardized deviations that show how current conditions compare to recent history. The normalized Z-Score receives exponential moving average smoothing to create the final VAMS line, reducing false signals while preserving sensitivity to meaningful momentum changes. The visualization includes dynamically calculated standard deviation bands that adjust to recent VAMS behavior, creating statistical reference zones. The information table provides real-time numerical values for VAMS Z-Score, underlying momentum percentages, and current volatility readings with trend indicators. 🟢 How to Use 1. VAMS Z-Score Bands and Signal Interpretation Above Mean Line: Momentum exceeds historical averages adjusted for volatility, indicating bullish conditions suitable for trend following Below Mean Line: Momentum falls below statistical norms, suggesting bearish conditions or downward pressure Mean Line Crossovers: Primary transition signals between bullish and bearish momentum regimes 1 Standard Deviation Breaks: Strong momentum conditions indicating statistically significant directional moves worth following 2 Standard Deviation Extremes: Rare momentum readings that often signal either powerful breakouts or exhaustion points 2. Information Table and Market Context Z-Score Values: Current VAMS reading displayed in standard deviations (σ), showing how far momentum deviates from its statistical norm Momentum Percentage: Underlying annualized momentum displayed as percentage return, quantifying the directional strength Volatility Context: Current annualized volatility levels help interpret whether VAMS readings occur in high or low volatility environments Trend Indicators: Directional arrows and change values provide immediate feedback on momentum shifts and market transitions 3. Strategy Applications and Alert System Trend Following: Use sustained readings beyond the mean line and 1σ band penetrations for directional trades, especially when VAMS maintains position in upper or lower statistical zones Mean Reversion: Focus on 2σ extreme readings for contrarian opportunities, particularly effective in sideways markets where momentum tends to revert to statistical norms Alert Notifications: Built-in alerts for mean crossovers (regime changes), 1σ breaks (strong signals), and 2σ touches (extreme conditions) help monitor multiple instruments for both continuation and reversal setups
Penunjuk Pine Script®
oleh QuantAlgo
10
Quantum Reversal# 🧠 Quantum Reversal ## **Quantitative Mean Reversion Framework** This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**. --- ## ⚡ **Core Technical Architecture** ### 📊 **Statistical Foundation** - **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals - **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns - **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions ### 🔬 **Momentum Analysis Layer** - **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45 - **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals - **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings ### ⚙️ **Entry Logic Architecture** ``` Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45) ``` - **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry - **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity - **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure ### 🎯 **Exit Strategy Optimization** - **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L - **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion - **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels --- ## 📈 **Statistical Properties** ### **Risk Management Framework** - **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets - **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves - **Position Management**: Single position limit prevents over-leveraging ### **Signal Processing Characteristics** - **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations - **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility - **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment --- ## 🔧 **Parameter Configuration** | Technical Parameter | Value | Statistical Significance | |-------------------|-------|-------------------------| | Bollinger Period | 20 | Standard statistical lookback for volatility calculation | | Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) | | RSI Period | 14 | Traditional momentum oscillator period | | RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics | | Smoothing Period | 5 | Noise reduction filter for momentum signals | --- ## 📊 **Algorithmic Advantages** ✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets ✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions ✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives ✅ **Momentum Integration**: RSI smoothing improves signal quality and timing ✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias --- ## 🔬 **Mathematical Foundation** The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal. **Statistical Basis:** - Mean reversion follows the principle that extreme price deviations from the moving average are temporary - The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution - RSI momentum smoothing reduces noise inherent in oscillator calculations --- ## ⚠️ **Risk Considerations** This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential. --- ## 🎯 **Implementation Notes** - **Market Regime Awareness**: Most effective in ranging/consolidating markets - **Volatility Sensitivity**: Performance may vary during extreme volatility events - **Backtesting Recommended**: Historical performance analysis advised before live implementation - **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach --- **Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
Strategi Pine Script®
oleh ArganaBridgeCapital
7
Dynamic Flow Ribbons [BigBeluga]🔵 OVERVIEW A dynamic multi-band trend visualization system that adapts to market volatility and reveals trend momentum with layered ribbon channels. Dynamic Flow Ribbons transforms price action into flowing trend bands that expand and contract with volatility. It not only shows the active directional bias but also visualizes how strong or weak the trend is through layered ribbons, making it easier to assess trend quality and structure. 🔵 CONCEPTS Uses an adaptive trend detection system built on a volatility envelope derived from an EMA of the average price (HLC3). Measures volatility using a long-period average of the high-low range, which scales the envelope width dynamically. Trend direction flips when the average price crosses above or below these envelopes. Ribbons form around the trend line to show how far price is stretching or compressing relative to the mean. 🔵 FEATURES Volatility-Based Trend Line: A thick, color-coded line tracks the current trend with smoother transitions between phases. Multi-Layered Flow Ribbons: Up to 10 bands (5 above and 5 below) radiate outward from the upper and lower envelopes, reflecting volatility strength and direction. Trend Coloring & Transitions: Ribbons and candles are dynamically colored based on trend direction— green for bullish , orange for bearish . Transparency fades with distance from the core trend band. Real-Time Responsiveness: Ribbon structure and trend shifts update in real time, adapting instantly to fast market changes. 🔵 HOW TO USE Use the color and thickness of the core trend line to follow directional bias. When ribbons widen symmetrically, it signals strong trend momentum . Narrowing or overlapping ribbons can suggest consolidation or transition zones . Combine with breakout systems or volume tools to confirm impulsive or corrective phases . Adjust the “Length” (factor) input to tune sensitivity—higher values smooth trends more. 🔵 CONCLUSION Dynamic Flow Ribbons offers a sleek and insightful view into trend strength and structure. By visualizing volatility expansion with directional flow, it becomes a powerful overlay for momentum traders, swing strategists, and trend followers who want to stay ahead of evolving market flows
Penunjuk Pine Script®
oleh BigBeluga
5
Trend Impulse Channels (Zeiierman)█ Overview Trend Impulse Channels (Zeiierman) is a precision-engineered trend-following system that visualizes discrete trend progression using volatility-scaled step logic. It replaces traditional slope-based tracking with clearly defined “trend steps,” capturing directional momentum only when price action decisively confirms a shift through an ATR-based trigger. This tool is ideal for traders who prefer structured, stair-step progression over fluid curves, and value the clarity of momentum-based bands that reveal breakout conviction, pullback retests, and consolidation zones. The channel width adapts automatically to market volatility, while the step logic filters out noise and false flips. ⚪ The Structural Assumption This indicator is built on a core market structure observation: After each strong trend impulse, the market typically enters a “cooling-off” phase as profit-taking occurs and counter-trend participants enter. This often results in a shallow pullback or stall, creating a slight negative slope in an uptrend (or a positive slope in a downtrend). These “cooling-off” phases don’t reverse the trend — they signal temporary pressure before the next leg continues. By tracking trend steps discretely and filtering for this behavior, Trend Impulse Channels helps traders align with the rhythm of impulse → pause → impulse. █ How It Works ⚪ Step-Based Trend Engine At the heart of this tool is a dynamic step engine that progresses only when price crosses a predefined ATR-scaled trigger level: Trigger Threshold (× ATR) – Defines how far price must break beyond the current trend state to register a new trend step. Step Size (Volatility-Guided) – Each trend continuation moves the trend line in discrete units, scaling with ATR and trend persistence. Trend Direction State – Maintains a +1/-1 internal bias to support directional filters and step tracking. ⚪ Volatility-Adaptive Channel Each step is wrapped inside a dynamic envelope scaled to current volatility: Upper and Lower Bands – Derived from ATR and band multipliers to expand/contract as volatility changes. ⚪ Retest Signal System Optional signal markers show when price re-tests the upper or lower band: Upper Retest → Pullback into resistance during a bearish trend. Lower Retest → Pullback into support during a bullish trend. ⚪ Trend Step Signals Circular markers can be shown to mark each time the trend steps forward, making it easy to identify structurally significant moments of continuation within a larger trend. █ How to Use ⚪ Trend Alignment Use the Trend Line and Step Markers to visually confirm the direction of momentum. If multiple trend steps occur in sequence without reversal, this typically signals strong conviction and trend persistence. ⚪ Retest-Based Entries Wait for pullbacks into the channel and monitor for triangle retest signals. When used in confluence with trend direction, these offer high-quality continuation setups. ⚪ Breakouts Look for breakouts beyond the upper or lower band after a longer period of pause. For higher likelihood of success, look for breakouts in the direction of the trend. █ Settings Trigger Threshold (× ATR) - Defines how far price must move to register a new trend step. Controls sensitivity to trend flips. Max Step Size (× ATR) - Caps how far each trend step can extend. Prevents runaway step expansion in high volatility. Band Multiplier (× ATR) - Expands the upper and lower channels. Controls how much breathing room the bands allow. Trend Hold (bars) - Minimum number of bars the trend must remain active before allowing a flip. Helps reduce noise. Filter by Trend - Restrict retest signals to those aligned with the current trend direction. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Penunjuk Pine Script®
oleh Zeiierman
19
BK AK-9I am incredibly proud to introduce my fourth indicator to the TradingView community: BK AK-9 — a next-level momentum-volatility hybrid, built for traders who demand precision. 🔥 Why “AK-9”? The Meaning Behind the Name This indicator is deeply personal to me. The “AK” in the name represents the initials of my mentor — the man whose guidance shaped my journey in trading, discipline, and strategy. His wisdom is woven into every line of code, every design choice, and every purpose behind this tool. The “9” holds its own powerful meaning: 9 is the number of completion and breakthrough — the moment where preparation meets opportunity. The AK-9 weapon itself is a suppressed variant of the legendary AK platform, built for stealth, precision, and maximum impact in close-quarters combat. It’s quiet, adaptive, and deadly effective — just like this indicator cuts through market noise, adapts to volatility, and pinpoints moments of maximum opportunity. ✨ About the BK AK-9 Indicator The BK AK-9 is not just an oscillator. It’s a multi-layered trading weapon combining: ✅ RSI → Stochastic → Bollinger Bands on Stoch RSI → momentum measured inside volatility. ✅ Dynamic or Static Background Flash → when extremes hit, you get instant visual alerts. ✅ Color-coded %K zones → 🔴 Red: oversold 🟢 Green: overbought 🔵 Blue: neutral ✅ Volatility-adaptive bands → instead of relying on static levels, the bands expand and contract dynamically using standard deviation. 🛡️ Why This Indicator Matters Pinpoints exhaustion zones statistically, not emotionally. Confirms breakouts with volatility evidence, not just price action. Filters noise and helps you wait for high-probability setups. Gives you visual edge with color-coded momentum and background flash. Perfect for: 🔹 Breakout traders confirming momentum surges. 🔹 Mean-reversion traders catching exhaustion pivots. 🔹 Swing traders using multi-layered momentum analysis. 🔹 Momentum traders hunting volatility-backed entries. 💥 How to Use BK AK-9 Breakout Confirmation → when Stoch RSI breaks above upper Bollinger Band (green zone, flash ON), ride the trend. Mean Reversion Trades → when Stoch RSI drops below lower Bollinger Band (red zone, flash ON), look for reversals. Noise Filtering → stay patient inside the blue zone, wait for extremes. Advanced Sync → align it with Gann levels, harmonic patterns, Fibonacci clusters, or Elliott waves for maximum edge. 🙏 Final Thoughts This isn’t just another tool — it’s a weapon in your trading arsenal. 🔹 Dedicated to my mentor, A.K., whose wisdom and legacy guide my work. 🔹 Designed around the number 9, the number of completion, transition, and breakthrough. 🔹 Built to help traders act with precision, discipline, and clarity. But above all, I give praise and glory to Gd — the true source of wisdom, insight, and success. Markets will test your patience and your skill, but faith tests your soul. Through every challenge, every victory, and every setback, Gd remains the constant. This tool is simply another way to use the gifts He has given — to help others rise. ⚡ Stay Ready, Stay Sharp The markets are a battlefield. But with the right tools, the right strategy, and the right mindset — you will always stay 10 steps ahead. 🔥 Stay locked. Stay loaded. Trade with precision. 🔥 Gd bless, and may He guide us all to wisdom and success. 🙏
Penunjuk Pine Script®
oleh Ki11a_B
2
Bollinger Free BarsIdentify Extreme Price Actions with Non-Overlay Visualization Core Functionality
This indicator detects two types of Bollinger Band breakout patterns without cluttering your chart:
1 ️⃣ Half Breakout Bar (Blue Triangles) - Triggers when both open & close prices are outside the Bollinger Bands - Suggests strong directional momentum continuation 2 ️⃣ Complete Breakout Bar (Red Flags) - Activates when entire price action (including wicks) stays outside the bands - Signals extreme volatility exhaustion points Feature Highlights
◾ Smart Band Display
Translucent bands (#2196F3 & #FF9800 with 70% transparency) maintain chart clarity while showing dynamic volatility ranges ◾ Parameter Customization - Adjustable period (default 20) & deviation multiplier (default 2.0) - Selectable price source (close/open/high/low) ◾ Statistical Validation
Based on Bollinger Band's 95.4% price containment principle, signals filter out 4.6% extreme market conditions for high-probability scenarios. Recommended Usage 1. Combine with volume analysis (significant breakout with high volume increases signal reliability) 2. Confirm with trend lines or RSI divergence 3. Adjust transparency via "Style" tab for multi-indicator layouts Code Safety - No repainting: All calculations use historical price data only - No external network requests - Open-source logic compliant with Pine Script v6 standards Disclaimer
This tool is for technical analysis education only. Past performance doesn't guarantee future results. Always validate signals with fundamental analysis and proper risk management.
Penunjuk Pine Script®
oleh pkuliyi
Keltner Channel Strategy by Kevin DaveyKeltner Channel Strategy Description The Keltner Channel Strategy is a volatility-based trading approach that uses the Keltner Channel, a technical indicator derived from the Exponential Moving Average (EMA) and Average True Range (ATR). The strategy helps identify potential breakout or mean-reversion opportunities in the market by plotting upper and lower bands around a central EMA, with the channel width determined by a multiplier of the ATR. Components: 1. Exponential Moving Average (EMA): The EMA smooths price data by placing greater weight on recent prices, allowing traders to track the market’s underlying trend more effectively than a simple moving average (SMA). In this strategy, a 20-period EMA is used as the midline of the Keltner Channel. 2. Average True Range (ATR): The ATR measures market volatility over a 14-period lookback. By calculating the average of the true ranges (the greatest of the current high minus the current low, the absolute value of the current high minus the previous close, or the absolute value of the current low minus the previous close), the ATR captures how much an asset typically moves over a given period. 3. Keltner Channel: The upper and lower boundaries are set by adding or subtracting 1.5 times the ATR from the EMA. These boundaries create a dynamic range that adjusts with market volatility. Trading Logic: • Long Entry Condition: The strategy enters a long position when the closing price falls below the lower Keltner Channel, indicating a potential buying opportunity at a support level. • Short Entry Condition: The strategy enters a short position when the closing price exceeds the upper Keltner Channel, signaling a potential selling opportunity at a resistance level. The strategy plots the upper and lower Keltner Channels and the EMA on the chart, providing a visual representation of support and resistance levels based on market volatility. Scientific Support for Volatility-Based Strategies: The use of volatility-based indicators like the Keltner Channel is supported by numerous studies on price momentum and volatility trading. Research has shown that breakout strategies, particularly those leveraging volatility bands such as the Keltner Channel or Bollinger Bands, can be effective in capturing trends and reversals in both trending and mean-reverting markets  . Who is Kevin Davey? Kevin Davey is a highly respected algorithmic trader, author, and educator, known for his systematic approach to building and optimizing trading strategies. With over 25 years of experience in the markets, Davey has earned a reputation as an expert in quantitative and rule-based trading. He is particularly well-known for winning several World Cup Trading Championships, where he consistently demonstrated high returns with low risk.
Strategi Pine Script®
oleh EdgeTools
United HUN CityPurpose and Usage The purpose of this strategy is to create a composite indicator that combines the signals from the MFI, Fisher Transform, and Bollinger Bands %b indicators. By normalizing and averaging these indicators, the script aims to provide a smoother and more comprehensive signal that can be used to make trading decisions. MFI (Money Flow Index): Measures buying and selling pressure based on price and volume. Fisher Transform: Highlights potential reversal points by transforming price data to a Gaussian normal distribution. Bollinger Bands %b: Indicates where the price is relative to the Bollinger Bands, helping to identify overbought or oversold conditions. The combined indicator can be used to identify potential buy or sell signals based on the smoothed composite value. For instance, a high combined indicator value might indicate overbought conditions, while a low value might indicate oversold conditions.
Penunjuk Pine Script®
oleh sellcandle
3