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VSA Super Candles 🎯 Overview This Pine Script was developed for VSA (Volume Spread Analysis) with a well-defined hierarchical priority system. The code identifies different types of market events based on volume, spread, and price behavior, painting candles with specific colors according to their importance. 🏗️ System Architecture Priority System (Hierarchical) 🔴 Climatic Event (Red) - Maximum Priority 🟠 Big Boss (Orange) - Second Priority 🟣 Compression (Purple) - Third Priority ⚫ Normal (Gray) - Lowest Priority 📊 Event Types 🔴 Climatic Event (Red) Characteristics: Ultra-high volume (default: 310% of average) Wide spread (above configured threshold) "Wrong" close (opposite to bar direction) Specific conditions: Up bar that closes at low (Selling Climax) Down bar that closes at high (Buying Climax) VSA Concept: Represents extreme exhaustion of one side of the market, usually marking important reversal points. 🟠 Big Boss (Orange) Characteristics: Ultra-high volume (default: 250% of average) Significant price displacement Wide spread with real movement of candle body Activated only when there's no Climatic Event VSA Concept: Massive volume generating real displacement, indicating entry/exit of large players. 🟣 Compression (Purple) Characteristics: Average volume (between normal and high) Signs of exhaustion or reversal Differential: Horizontal volume analysis Activation conditions: Upthrust (higher high, closes down) Minor selling climax (lower low, closes up) Horizontal volume spike + average volume VSA Concept: Support/resistance test with controlled volume, frequently precedes important movements. ⚫ Normal (Gray) Characteristics: Normal volume (default: 50% of average) Normal displacement or automatic price exhaustion Auto-activation: Detects exhaustion even with normal volume 🛠️ Technical Components Storage Buffers var bool buffer_climatico = array.new_bool() var bool buffer_big_boss = array.new_bool() var bool buffer_comprimido = array.new_bool() var bool buffer_normal = array.new_bool() Store event history Limited to 100 values for optimization Allow posterior statistical analysis Horizontal Volume Analysis Compares current volume with average of last 5 bars Configurable multiplier factor (default: 1.5x) Impact: Increases probability of identifying compressions Automatic Exhaustion System Up Exhaustion: Higher high + close lower than previous Down Exhaustion: Lower low + close higher than previous Works independently of volume ⚙️ Configurable Parameters Parameter Default Description Volume Average Length 60 Period for volume average % Climatic Event 310% Threshold for climatic volume % Big Boss 250% Threshold for Big Boss volume % Normal Volume 50% Threshold for normal volume Spread Threshold 0.7 Multiplier for wide spread Close Position Threshold 0.3 Limit for "edge closes" Horizontal Volume Factor 1.5 Multiplier for horizontal spike 📍 Visual Markers Chart Symbols 🔴 Climatic Event: Red circles above/below bars 🟠 Big Boss: Orange circles indicating direction ⬆⬇ Compression: Purple arrows for reversals H Horizontal Compression: Marks differentiated horizontal volume Statistics Table Position: Top right corner Content: Count of each event type (last 50 bars) Current volume vs. average ratio Update: Real-time on last bar 🎨 Color System final_color = evento_climatico ? color.red : big_boss ? color.orange : comprimido ? color.purple : vela_normal ? color.gray : color.gray Logic: The first true condition defines the color, respecting priorities. 🔄 Execution Flow Basic Calculations: Average volume, spread, close position Horizontal Analysis: Comparison with previous bars Exhaustion Detection: Identification of reversal patterns Priority Application: Sequential evaluation (Climatic → Normal) Storage: Buffer updates Visualization: Bar coloring and markers 📈 Implemented Improvements Code Organization Detailed comments in each section Descriptive variable names Clear and sequential IF/ELSE logic Separation by functionality Performance Buffers with automatic cleanup Optimized calculations Limited history control Advanced VSA Functionality Hierarchical priority system Horizontal volume analysis Automatic exhaustion detection Multiple types of climatic events Usability Configurable parameters Real-time visual feedback Performance statistics Intuitive markers 🎓 Applied VSA Concepts Volume Spread Analysis Principle: Relationship between Volume, Spread, and Close reveals market intentions Implementation: Each event type represents a specific VSA scenario Smart Money vs. Retail Climatic Event: Retail exhaustion, Smart Money entry Big Boss: Direct Smart Money movement Compression: Controlled testing/accumulation Wyckoff Method Absorption: Identified in compressions Distribution/Accumulation: In climatic events Mark-up/Mark-down: In Big Boss events 🚀 How to Use Add the script to your TradingView chart Configure parameters according to your timeframe and asset Observe bar colors to identify events Use markers for additional confirmation Monitor the table for real-time statistics 📝 Important Notes Script strictly respects priority hierarchy Higher priority events always prevail Horizontal analysis differentiates special compressions Automatic exhaustion system captures subtle reversals Performance optimized for real-time use 🔧 Installation Open TradingView Pine Editor Copy and paste the complete script Click "Add to Chart" Adjust parameters in the settings panel Save to your indicator library 📊 Trading Applications Entry Signals Climatic Events: Look for reversal confirmations Big Boss: Follow the displacement direction Compression: Watch for breakouts after testing Risk Management Use event hierarchy to gauge market strength Higher priority events suggest stronger moves Normal events may indicate consolidation periods Market Context Trending Markets: Big Boss events show continuation Range-bound Markets: Compressions at key levels Reversal Points: Climatic events at extremes 🤝 Contributing This script follows VSA principles and can be enhanced with: Additional timeframe analysis Alert system for key events Backtesting capabilities Custom color schemes Version: Pine Script v6 Compatibility: TradingView Author: Victor Eduardo Americo
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Victoredbr tarafından
ICT ULT This indicator is for lazy people like me who want to automate the process of marking certain ICT key levels using the indicator's features, such as: Custom Killzone/Session Liquidity Levels in form of Highs and Lows Killzone Drawings (Boxes) Previous Day High/Low (PDH/PDL) Previous Day Equlibrium (PDEQ) Previous Week High/Low New Day/Week Opening Gaps (NDOG/NWOG) Custom Opening Prices (horizontal) (e.g. Midnight Open) Custom Timestamps (vertical) *Note: All features are completely customizable inspired by: @tradeforopp
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mats42 tarafından
1
MuLegend's NQ 1m Break & Retest Sniper (clean)This indicator will mos def alert you when on NQ 1 minute time frame, to ENTER, AFTER retest: 1) if its' a bullish retest: enter on the candle HIGHER than the retest candle, with the stop loss, under the retest candle, and target is the next structure point. 2) If it's a bearish retest candle: enter on the candle LOWER than the retest candle, with the stop lost above the retest candle, and your target is the next structure point. MuLegend Follow me on IG @ atltime2shine
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Mulegendrules370 tarafından
JL - Market HeatmapThis indicator plots a static table on your chart that displays any tickers you want and their % change on the day so far. It updates in real time, changes color as it updates, and has several custom functions available for you: 1. Plot up to 12 tickers of your choice 2. Choose a layout with 1-4 rows 3. Display % Change or Not 4. Choose your font size (Tiny, Small, Normal, Large) 5. Up/Down Cell Colors (% change dependent) 6. Up/Down Text Colors (high contrast to your color choices) The purpose of the indicator is to quickly measure a broad basket of market instruments to paint a more context-rich perspective of the chart you are looking at. I hope this indicator can help you (and me) accomplish this task in a simple, clean, and seamless manner. Thanks and enjoy - Jack
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JackDL92 tarafından
CM Indicator About Indicator:- 1) This is best Indicator for trend identification. 2) This is based on 42 EMA with Upper Band and Lower bands for trend identification. 3) This should be used for Line Bar chart only. 4) Line bar chart should be used at 1 hour for 15 line breaks. How to Use:- 1) To go with trend is best use of this indicator. 2) This is for stocks and options not for index. Indicator used for Stocks at one hour and options for 10-15 minutes line break. 3) There will be 5% profitability defined for each entry, 3 entries with profit are best posible in same continuous trend 4 and 5th entry is in riskier zone in continuous trend. 4) Loss will only happen if there is trend reversal. 5) Loss could only be one trade of profit out of three profitable trades. 6) Back tested on 200 stocks and 100 options.
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Chhagan_2021 tarafından
Justin's Bitcoin Power Law PredictorJustin's MSTR Powerlaw Price Predictor is a Pine Script v6 indicator for TradingView that adapts Giovanni Santostasi’s Bitcoin power law model to forecast MicroStrategy (MSTR) stock prices. Using the formula Price = A * (daysSinceGenesis)^B, it calculates fair, upper, and floor prices with constants A_fair = 1.16e-17, A_floor = 0.42e-17, and B = 5.82, starting from Bitcoin’s genesis (January 3, 2009). The script plots these prices, displays values in a table. Source: www.ccn.com
Pine Script® göstergesi
hodljb tarafından
BTC CME Gap – detector & single signals# BTC CME Gap — Detector & Single Signals (Pine v5) **What it does** This indicator finds the **weekend gap** on **CME Bitcoin futures** and turns it into a clean, tradable object: * Draws a **gap zone** (Friday close ↔ Monday open) as a right-extending box. * Fires **one-time signals** per gap: * **ENTER** – first touch of the gap zone by price. * **FILL** – gap is considered filled when price tags **Friday’s close**. It works on any BTC chart (spot or futures). The gap itself is calculated from **CME\:BTC1!** daily data. --- ## How it works 1. Pulls **daily** `open`/`close` from `CME:BTC1!` (`request.security`, no lookahead). 2. On **Monday**, compares Monday **open** with previous **Friday close**: * If different → a **gap** exists. 3. Defines the zone: * `gapTop = max(MonOpen, FriClose)` * `gapBot = min(MonOpen, FriClose)` 4. Renders a box + boundary lines, **extending right** until price action resolves it. 5. Signals: * **ENTER**: the first bar that **enters** the gap zone. * **FILL**: first bar that **touches Friday close** (gap completion). 6. Each new Monday gap **replaces** the previous box and signals. --- ## Inputs * **CME symbol** (default `CME:BTC1!`) * **Gap timeframe** (default `D`) * **Colors** for the box and edges --- ## Plot & Signals * **Box** = visual gap zone (transparent fill, outlined). * **ENTER** = triangle up below bar. * **FILL** = triangle down above bar. * Optional label prints **Top / Bottom / Fill** levels. --- ## Notes on behavior * Uses `barmerge.lookahead_off` and daily aggregation, so the gap definition **does not repaint** once Monday’s daily bar is confirmed. * Signals are **single-shot** per gap (no clutter). * Works on any chart timeframe; the gap logic always references **CME daily**. --- ## Practical use * Track obvious **“magnets”** for mean-reversion, stop-runs, or liquidity grabs. * Combine with your higher-timeframe bias (e.g., **1D trend filter**) and execution on **4H/1H**. * Typical outcomes: quick Monday fill, staged fill after partial rejection, or delayed fill during later consolidation. --- ## Customization ideas * Add `alertcondition(enterSignal, …)` / `alertcondition(fillSignal, …)` for automation. * Gate trades with trend filters (EMA/SMA, Kernel regression, ADX) or session tools (VWAP/POC). * Persist multiple historical gap boxes if you want to track **unfilled** gaps. --- **Credits**: Built for BTC CME weekend gaps; minimal, publication-ready visualization with single-event signals to keep charts clean.
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Greg_deVril tarafından
Price Heat Meter [ChartPrime]⯁ OVERVIEW Price Heat Meter visualizes where price sits inside its recent range and turns that into an intuitive “temperature” read. Using rolling extremes, candles fade from ❄️ aqua (cold) near the lower bound to 🔥 red (hot) near the upper bound. The tool also trails recent extreme levels, tags unusually persistent extremes with a % “heat” label, and shows a bottom gauge (0–100%) with a live arrow so you can read market heat at a glance. ⯁ KEY FEATURES Rolling Heat Map (0–100%): The script measures where the close sits between the current Lowest Low and Highest High over the chosen Length (default 50). Candles use a two-stage gradient: aqua → yellow (0–50%), then yellow → red (50–100%). This makes “how stretched are we?” instantly visible. Dynamic Extremes with Time Decay: When a new rolling High or Low is set, the script starts a faint horizontal trail at that price. Each bar that passes without a new extreme increases a counter; the line’s color gradually fades over time and fully disappears after ~100 bars, keeping the chart clean. Persistent-Extreme Tags (Reversal Hints): If an extreme persists for 40 bars (i.e., price hasn’t reclaimed or surpassed it), the tool stamps the original extreme pivot with its recorded Heat% at the moment the extreme formed. • Upper extremes print a red % label (possible exhaustion/resistance context). • Lower extremes print an aqua % label (possible exhaustion/support context). Bottom Heat Gauge (0–100% Scale): A compact, gradient bar renders at the bottom center showing the current Heat% with an arrow/label. ❄️ anchors the left (0%), 🔥 anchors the right (100%). The arrow adopts the same candle heat color for consistency. Minimal Inputs, Clear Theme: • Length (lookback window for H/L) • Heat Color set (Cold / Mid / Hot) The defaults give a balanced, legible gradient on most assets/timeframes. Signal Hygiene by Design: The meter doesn’t “call” reversals. Instead, it contextualizes price within its range and highlights the aging of extremes. That keeps it robust across regimes and assets, and ideal as a confluence layer with your existing triggers. ⯁ HOW IT WORKS (UNDER THE HOOD) Range Model: H = Highest(High, Length), L = Lowest(Low, Length). Heat% = 100 × (Close − L) / (H − L). Extreme Tracking & Fade: When High == H , we record/update the current upper extreme; same for Low == L on the lower side. If the extreme doesn’t change on the next bar, a counter increments and the plotted line’s opacity shifts along a 0→100 fade scale (visual decay). 40-Bar Persistence Labels: On the bar after the extreme forms, the code stores the bar_index and the contemporaneous Heat% . If the extreme survives 40 bars, it places a % label at the original pivot price and index—flagging levels that were meaningfully “tested by time.” Unified Color Logic: Both candles and the gauge use the same two-stage gradient (Cold→Mid, then Mid→Hot), so your eye reads “heat” consistently across all elements. ⯁ USAGE Treat >80% as “hot” and <20% as “cold” context; combine with your trigger (e.g., structure, OB, div, breakouts) instead of acting on heat alone. Watch persistent extreme labels (40-bar marks) as reference zones for reaction or liquidity grabs. Use the fading extreme lines as a memory map of where price last stretched—levels that slowly matter less as they decay. Tighten Length for intraday sensitivity or increase it for swing stability. ⯁ WHY IT’S UNIQUE Rather than another oscillator, Price Heat Meter translates simple market geometry (rolling extremes) into a readable temperature layer with time-aware extremes and a synchronized gauge . You get a continuously updated sense of stretch, persistence, and potential reversal context—without clutter or overfitting.
Pine Script® göstergesi
ChartPrime tarafından
6
Pasrsifal.RegressionTrendStateSummary The Parsifal.Regression.Trend.State Indicator analyzes the leading coefficients of linear and quadratic regressions of price (against time). It also considers their first- and second-order changes. These features are aggregated into a Trend-State background, shown as a gradient color. In addition, the indicator generates fast and slow signals that can be used as potential entry- or exit triggers. This tool is designed for advanced trend-following strategies, leveraging information from multiple trendline features. Background Trendlines provide insight into the state of a trend or the “trendiness” of a price process. While moving averages or pivot-based lines can serve as envelopes and breakout levels, they are often too lagging for swing traders, who need tools that adapt more closely to price swings, ideally using trendlines, around which the price process swings continuously. Regression lines address this by cutting directly through the data, making them a natural anchor for observing how price winds around a central trendline within a chosen lookback period. Regression Trendlines • Linear Regression: o Minimizes distance to all closing values over the lookback period. o The slope represents the short-term linear trend. o The change of slope indicates trend acceleration or deceleration. o Linear regression lags during phases of rapid market shifts. • Quadratic Regression: o Fits a second-degree polynomial to minimize deviation from closing prices. o The convexity term (leading coefficient) reflects curvature:  Positive convexity → accelerating uptrend or fading downtrend.  Negative convexity → accelerating downtrend or fading uptrend. o The change of convexity detects early shifts in momentum and often reacts faster than slope features. Features Extracted The indicator evaluates six features: • Linear features: slope, first derivative of slope, second derivative of slope. • Quadratic features: convexity term, first derivative of the convexity term, second derivative of the convexity term. • Linear features: capture broad, background trend behavior. • Quadratic features: detect deviations, accelerations, and smaller-scale dynamics. Quadratic terms generally react first to market changes, while linear terms provide stability and context. Dynamics of Market Moves as seen by linear and quadratic regressions • At the start of a rapid move: The change of convexity reacts first, capturing the shift in dynamics before other features. The convexity term then follows, while linear slope features lag further behind. Because convexity measures deviation from linearity, it reflects accelerating momentum more effectively than slope. • At the end of a rapid move: Again, the change of convexity responds first to fading momentum, signaling the transition from above-linear to below-linear dynamics. Even while a strong trend persists, the change of convexity may flip sign early, offering a warning of weakening strength. The convexity term itself adjusts more slowly but may still turn before the price process does. Linear features lag the most, typically only flipping after price has already reversed, thereby smoothing out the rapid, more sensitive reactions of quadratic terms. ________________________________________ Parsifal Regression.Trend.State Method 1. Feature Mapping: Each feature is mapped to a range between -1 and 1, preserving zero-crossings (critical for sign interpretation). 2. Aggregation: A heuristic linear combination*) produces a background information value, visualized as a gradient color scale: o Deep green → strong positive trend. o Deep red → strong negative trend. o Yellow → neutral or transitional states. 3. Signals: o Fast signal (oscillator): ranges from -1 to 1, reflecting short-term trend state. o Slow signal (smoothed): moving average of the fast signal. o Their interactions (crossovers, zero-crossings) provide actionable trading triggers. How to Use The Trend-State background gradient provides intuitive visual feedback on the aggregated regression features (slope, convexity, and their changes). Because these features reflect not only current trend strength but also their acceleration or deceleration, the color transitions help anticipate evolving market states: • Solid Green: All features near their highs. Indicates a strong, accelerating uptrend. May also reflect explosive or hyperbolic upside moves (including gaps). • Fading Solid Green: A recently strong uptrend is losing momentum. Price may shift into a slower uptrend, consolidation, or even a reversal. • Fading Green → Yellow: Often appears as a dirty yellow or a rapidly mixing pattern of green and red. Signals that the uptrend is weakening toward neutrality or beginning to turn negative. • Yellow → Deepening Red: Two possible scenarios: o Coming from a strong uptrend → suggests a sharp fade, though the trend may still technically be up. o Coming from a weaker uptrend or sideways market → suggests the start of an accelerating downtrend. • Solid Red: All features near their lows. Indicates a strong, accelerating downtrend. May also reflect crash-type conditions or downside gaps. • Fading Solid Red: A recently strong downtrend is losing strength. Market may move into a slower decline, consolidation, or early reversal upward. • Fading Red → Yellow : The downtrend is weakening toward neutral, with potential for a bullish shift. • Yellow → Increasing Green: Two possible scenarios: o Coming from a strong downtrend, it reflects a sharp fade of bearish momentum, though the market may still technically be trending down. o Coming from a weaker downtrend or sideways movement, it suggests the start of an accelerating uptrend. Note: Market evolution does not always follow this neat “color cycle.” It may jump between states, skip stages, or reverse abruptly depending on market conditions. This makes the background coloring particularly valuable as a contextual map of current and evolving price dynamics. Signal Crossovers: Although the fast signal is very similar (but not identical) to the background coloring, it provides a numerical representation indicating a bullish interpretation for rising values and bearish for falling. o High-confidence entries:  Fast signal rising from < -0.7 and crossing above the slow signal → potential long entry.  Fast signal falling from > +0.7 and crossing below the slow signal → potential short entry. o Low-confidence entries:  Crossovers near zero may still provide a valid trigger but may be noisy and should be confirmed with other signals. o Zero-crossings:  Indicate broader state changes, useful for conservative positioning or option strategies. For confirmation of a Fast signal 0-crossing, wait for the Slow signal to cross as well. ________________________________________ *) Note on Aggregation While the indicator currently uses a heuristic linear combination of features, alternatives such as Principal Component Analysis (PCA) could provide a more formal aggregation. However, while in the absence of matrix algebra, the required eigenvalue decomposition can be approximated, its computational expense does not justify the marginal higher insight in this case. The current heuristic approach offers a practical balance of clarity, speed, and accuracy.
Pine Script® göstergesi
parsifaltrading tarafından
Polynomial Regression HeatmapPolynomial Regression Heatmap – Advanced Trend & Volatility Visualizer Overview The Polynomial Regression Heatmap is a sophisticated trading tool designed for traders who require a clear and precise understanding of market trends and volatility. By applying a second-degree polynomial regression to price data, the indicator generates a smooth trend curve, augmented with adaptive volatility bands and a dynamic heatmap. This framework allows users to instantly recognize trend direction, potential reversals, and areas of market strength or weakness, translating complex price action into a visually intuitive map. Unlike static trend indicators, the Polynomial Regression Heatmap adapts to changing market conditions. Its visual design—including color-coded candles, regression bands, optional polynomial channels, and breakout markers—ensures that price behavior is easy to interpret. This makes it suitable for scalping, swing trading, and longer-term strategies across multiple asset classes. How It Works The core of the indicator relies on fitting a second-degree polynomial to a defined lookback period of price data. This regression curve captures the non-linear nature of market movements, revealing the true trajectory of price beyond the distortions of noise or short-term volatility. Adaptive upper and lower bands are constructed using ATR-based scaling, surrounding the regression line to reflect periods of high and low volatility. When price moves toward or beyond these bands, it signals areas of potential overextension or support/resistance. The heatmap colors each candle based on its relative position within the bands. Green shades indicate proximity to the upper band, red shades indicate proximity to the lower band, and neutral tones represent mid-range positioning. This continuous gradient visualization provides immediate feedback on trend strength, market balance, and potential turning points. Optional polynomial channels can be overlaid around the regression curve. These three-line channels are based on regression residuals and a fixed width multiplier, offering additional reference points for analyzing price deviations, trend continuation, and reversion zones. Signals and Breakouts The Polynomial Regression Heatmap includes statistical pivot-based signals to highlight actionable price movements: Buy Signals – A triangular marker appears below the candle when a pivot low occurs below the lower regression band. Sell Signals – A triangular marker appears above the candle when a pivot high occurs above the upper regression band. These markers identify significant deviations from the regression curve while accounting for volatility, providing high-quality visual cues for potential entry points. The indicator ensures clarity by spacing markers vertically using ATR-based calculations, preventing overlap during periods of high volatility. Users can rely on these signals in combination with heatmap intensity and regression slope for contextual confirmation. Interpretation Trend Analysis : The slope of the polynomial regression line represents trend direction. A rising curve indicates bullish bias, a falling curve indicates bearish bias, and a flat curve indicates consolidation. Steeper slopes suggest stronger momentum, while gradual slopes indicate more moderate trend conditions. Volatility Assessment : Band width provides an instant visual measure of market volatility. Narrow bands correspond to low volatility and potential consolidation, whereas wide bands indicate higher volatility and significant price swings. Heatmap Coloring : Candle colors visually represent price position within the bands. This allows traders to quickly identify zones of bullish or bearish pressure without performing complex calculations. Channel Analysis (Optional) : The polynomial channel defines zones for evaluating potential overextensions or retracements. Price interacting with these lines may suggest areas where mean-reversion or trend continuation is likely. Breakout Signals : Buy and Sell markers highlight pivot points relative to the regression and volatility bands. These are statistical signals, not arbitrary triggers, and should be interpreted in context with trend slope, band width, and heatmap intensity. Strategy Integration The Polynomial Regression Heatmap supports multiple trading approaches: Trend Following – Enter trades in the direction of the regression slope while using the heatmap for momentum confirmation. Pullback Entries – Use breakouts or deviations from the regression bands as low-risk entry points during trend continuation. Mean Reversion – Price reaching outer channel boundaries can indicate potential reversal or retracement opportunities. Multi-Timeframe Alignment – Overlay on higher and lower timeframes to filter noise and improve entry timing. Stop-loss levels can be set just beyond the opposing regression band, while take-profit targets can be informed by the distance between the bands or the curvature of the polynomial line. Advanced Techniques For traders seeking greater precision: Combine the Polynomial Regression Heatmap with volume, momentum, or volatility indicators to validate signals. Observe the width and slope of the regression bands over time to anticipate expanding or contracting volatility. Track sequences of breakout signals in conjunction with heatmap intensity for systematic trade management. Adjusting regression length allows customization for different assets or timeframes, balancing responsiveness and smoothing. The combination of polynomial curve, adaptive bands, heatmap, and optional channels provides a comprehensive statistical framework for informed decision-making. Inputs and Customization Regression Length – Determines the number of bars used for polynomial fitting. Shorter lengths increase responsiveness; longer lengths improve smoothing. Show Bands – Toggle visibility of the ATR-based regression bands. Show Channel – Enable or disable the polynomial channel overlay. Color Settings – Customize bullish, bearish, neutral, and accent colors for clarity and visual preference. All other internal parameters are fixed to ensure consistent statistical behavior and minimize potential misconfiguration. Why Use Polynomial Regression Heatmap The Polynomial Regression Heatmap transforms complex price action into a clear, actionable visual framework. By combining non-linear trend mapping, adaptive volatility bands, heatmap visualization, and breakout signals, it provides a multi-dimensional perspective that is both quantitative and intuitive. This indicator allows traders to focus on execution, interpret market structure at a glance, and evaluate trend strength, overextensions, and potential reversals in real time. Its design is compatible with scalping, swing trading, and long-term strategies, providing a robust tool for disciplined, data-driven trading.
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BOSWaves tarafından
Low Volatility Breakout in Trend █ OVERVIEW "Low Volatility Breakout in Trend" is a technical analysis tool that identifies periods of low-volatility consolidation within an ongoing trend and signals potential breakouts aligned with the trend's direction. The indicator detects trends using a simple moving average (SMA) of price, identifies consolidation zones based on the size of candle bodies, and displays the percentage change in volume (volume delta) at the breakout moment. █ CONCEPTS The core idea of the indicator is to pinpoint moments where traders can join an ongoing trend by capitalizing on breakouts from consolidation zones, supported by additional information such as volume delta. It provides clear visualizations of trends, consolidation zones, and breakout signals to facilitate trading decisions. Why Use It? * Breakout Identification: The indicator locates low-volatility consolidation zones (measured by the size of individual candle bodies, not the price range of the consolidation) and signals breakouts, enabling traders to join the trend at key moments. * Volume Analysis: Displays the percentage change in volume (delta) relative to its simple moving average, providing insight into market activity rather than acting as a signal filter. * Visual Clarity: Colored trend lines, consolidation boxes (drawn only after the breakout candle closes, not on subsequent candles), and volume delta labels enable quick chart analysis. * Flexibility: Adjustable parameters, such as the volatility window length or SMA period, allow customization for various trading strategies and markets. How It Works * Trend Detection: The indicator calculates a simple moving average (SMA) of price (default: based on the midpoint of high/low) and creates dynamic trend bands, offset by a percentage of the average candle height (band scaling). A price above the upper band signals an uptrend, while a price below the lower band indicates a downtrend. Trend changes occur not when the price crosses the SMA but when it crosses above the upper band or below the lower band (offset by the average candle height multiplied by the scaling factor). * Consolidation Identification: Identifies low-volatility zones when the candle body size is smaller than the average body size over a specified period (default: 20 candles) multiplied by a volatility threshold — the maximum allowable body size as a percentage of the average body (e.g., 2 means the candle body must be less than twice the average body to be considered low-volatility). * Breakout Signals: A breakout occurs when the candle body exceeds the volatility threshold, is larger than the maximum body in the consolidation, and aligns with the trend direction (bullish in an uptrend, bearish in a downtrend). * Visualization: Draws a trend line with a gradient, consolidation boxes (appearing only after the breakout candle closes, marking the consolidation zone), and volume delta labels. Optionally displays breakout signal arrows. * Signals and Alerts: The indicator generates signals for bullish and bearish breakouts, including the volume delta percentage. Alerts are an additional feature that can be enabled for notifications. Settings and Customization * Volatility Window: Length of the period for calculating the average candle body size (default: 20). * Volatility Threshold: Maximum candle body size as a percentage of the average body (default: 2). * Minimum Consolidation Bars: Number of candles required for a consolidation (default: 10). * SMA Length for Trend: Period of the SMA for trend detection (default: 100). * Band Scaling: Offset of trend bands as a percentage of the average candle height (default: 250%), determining the distance from the SMA. * Visualization Options: Enable/disable consolidation boxes (Show Consolidation Boxes, drawn after the breakout candle closes), volume delta labels (Show Volume Delta Labels), and breakout signals (Show Breakout Signals, e.g., triangles). * Colors: Customize colors for the trend line, consolidation boxes, and volume delta labels. █ OTHER SECTIONS Usage Examples * Joining an Uptrend: When the price breaks out of a consolidation in an uptrend with a volume delta of +50%, open a long position; the signal is stronger if the breakout candle surpasses a local high. * Avoiding False Breakouts: Ignore breakout signals with low volume delta (e.g., below 0%) and combine the indicator with other tools (e.g., support/resistance levels or oscillators) to confirm moves in low-activity zones. Notes for Users * On markets that do not provide volume data, the indicator will not display volume delta — disable volume labels and enable breakout signals (e.g., triangles) instead. * Adjust parameters to suit the market's characteristics to minimize noise. * Combine with other tools, such as Fibonacci levels or oscillators, for greater precision.
Pine Script® göstergesi
Uncle_the_shooter tarafından
Zones + Trendlines (raphii7)Here you go — in English, simple and clear: Designed for a clear read of worked zones and trend paths on any timeframe. -Zones: rectangles where price has touched multiple times = support/resistance zones. -Trendlines: lines that connect two highs (H–H) or two lows (B–B), with a dotted extension. Settings Zones -Minimum candles between highs/lows (minSepBars): minimum spacing between pivots. Larger = cleaner pivots. -Show highs/lows (showHBZones): shows small H/B labels on the chart. -Max highs/lows used (maxPivotsUsed): cap on stored pivots. -Minimum contacts in the zone (minContacts): minimum touches required to draw a zone. -Zone size unit (sizeMode): -Pips = fixed thickness. -ATR = thickness adapts to volatility. -Zone size (zoneSize): zone thickness (in Pips or ATR). -Max candles back (lookbackBars): how far back to scan. -Max zones to draw (maxZonesDraw): prevents too many rectangles. -Border / fill color (borderCol / fillCol): zone styling. Trendlines -Pivot Length (pivotLen): “size” of the pivot. Higher = more reliable lines, fewer of them. -Pivot Type (pivotType): Normal = cleaner, slower. Fast = very reactive, can move more.
Pine Script® göstergesi
raphii7 tarafından
Volumetric Support and Resistance [BackQuant]Volumetric Support and Resistance What this is This Overlay locates price levels where both structure and participation have been meaningful. It combines classical swing points with a volume filter, then manages those levels on the chart as price evolves. Each level carries: • A reference price (support or resistance) • An estimate of the volume that traded around that price • A touch counter that updates when price retests it • A visual box whose thickness is scaled by volatility The result is a concise map of candidate support and resistance that is informed by both price location and how much trading occurred there. How levels are built Find structural pivots uses ta.pivothigh and ta.pivotlow with a user set sensitivity. Larger sensitivity looks for broader swings. Smaller sensitivity captures tighter turns. Require meaningful volume computes an average volume over a lookback period and forms a volume ratio for the current bar. A pivot only becomes a level when the ratio is at least the volume significance multiplier. Avoid clustering checks a minimum level distance (as a percent of price). If a candidate is too close to an existing level, it is skipped to keep the map readable. Attach a volume strength to the level estimates volume strength by averaging the volume of recent bars whose high to low range spans that price. Levels with unusually high strength are flagged as high volume. Store and draw levels are kept in an array with fields for price, type, volume, touches, creation bar, and a box handle. On the last bar, each level is drawn as a horizontal box centered at the price with a vertical thickness scaled by ATR. Borders are thicker when the level is marked high volume. Boxes can extend into the future. How levels evolve over time • Aging and pruning : levels are removed if they are too old relative to the lookback or if you exceed the maximum active levels. • Break detection : a level can be removed when price closes through it by more than a break threshold set as a fraction of ATR. Toggle with Remove Broken Levels. • Touches : when price approaches within the break threshold, the level’s touch counter increments. Visual encoding • Boxes : support boxes are green, resistance boxes are red. Box height uses an ATR based thickness so tolerance scales with volatility. Transparency is fixed in this version. Borders are thicker on high volume levels. • Volume annotation : show the estimated volume inside the box or as a label at the right. If a level has more than one touch, a suffix like “(2x)” is appended. • Extension : boxes can extend a fixed number of bars into the future and can be set to extend right. • High volume bar tint : bars with volume above average × multiplier are tinted green if up and red if down. Inputs at a glance Core Settings • Level Detection Sensitivity — pivot window for swing detection • Volume Significance Multiplier — minimum volume ratio to accept a pivot • Lookback Period — window for average volume and maintenance rules Level Management • Maximum Active Levels — cap on concurrently drawn levels • Minimum Level Distance (%) — required spacing between level prices Visual Settings • Remove Broken Levels — drop a level once price closes decisively through it • Show Volume Information on Levels — annotate volume and touches • Extend Levels to Right — carry boxes forward Enhanced Visual Settings • Show Volume Text Inside Box — text placement option • Volume Based Transparency and Volume Based Border Thickness — helper logic provided; current draw block fixes transparency and increases border width on high volume levels Colors • Separate colors for support, resistance, and their high volume variants How it can be used • Trade planning : use the most recent support and resistance as reference zones for entries, profit taking, or stop placement. ATR scaled thickness provides a practical buffer. • Context for patterns : combine with breakouts, pullbacks, or candle patterns. A breakout through a high volume resistance carries more informational weight than one through a thin level. • Prioritization : when multiple levels are nearby, prefer high volume or higher touch counts. • Regime adaptation : widen sensitivity and increase minimum distance in fast regimes to avoid clutter. Tighten them in calm regimes to capture more granularity. Why volume support and resistance is used in trading Support and resistance relate to willingness to transact at certain prices. Volume measures participation. When many contracts change hands near a price: • More market players hold inventory there, often creating responsive behavior on retests • Order flow can concentrate again to defend or to exit • Breaks can be cleaner as trapped inventory rebalances Conditioning level detection on above average activity focuses attention on prices that mattered to more participants. Alerts • New Support Level Created • New Resistance Level Created • Level Touch Alert • Level Break Alert Strengths • Dual filter of structure and participation, reducing trivial swing points • Self cleaning map that retires old or invalid levels • Volatility aware presentation using ATR based thickness • Touch counting for persistence assessment • Tunable inputs for instrument and timeframe Limitations and caveats • Volume strength is an approximation based on bars spanning the price, not true per price volume • Pivots confirm after the sensitivity window completes, so new levels appear with a delay • Narrow ranges can still cluster levels unless minimum distance is increased • Large gaps may jump past levels and immediately trigger break conditions Practical tuning guide • If the chart is crowded: increase sensitivity, increase minimum level distance, or reduce maximum active levels • If useful levels are missed: reduce volume multiplier or sensitivity • If you want stricter break removal: increase the ATR based break threshold in code • For instruments with session patterns: tailor the lookback period to a representative window Interpreting touches and breaks • First touch after creation is a validation test • Multiple shallow touches suggest absorption; a later break may then travel farther • Breaks on high current volume merit extra attention Multi timeframe usage Levels are computed on the active chart timeframe. A common workflow is to keep a higher timeframe instance for structure and a lower timeframe instance for execution. Align trades with higher timeframe levels where possible. Final Thoughts This indicator builds a lightweight, self updating map of support and resistance grounded in swings and participation. It is not a full market profile, but it captures much of the practical benefit with modest complexity. Treat levels as context and decision zones, not guarantees. Combine with your entry logic and risk controls.
Pine Script® göstergesi
BackQuant tarafından
Dual Stochastic with Trend FilterThe "Dual Stochastic with Trend Filter" is an oscillator indicator designed to provide clearer, trend-aligned trading signals. It uses two distinct stochastic oscillators to identify potential entry points and incorporates an optional EMA-based trend filter to ensure that you are trading in the direction of the broader market momentum. How It Works and How to Use It This indicator combines two key technical analysis concepts: momentum (via stochastics) and trend (via moving averages). Core Components: Dual Stochastic Oscillators: Signal Line 1 (Blue): A standard stochastic oscillator. Signal Line 2 (Red): A second stochastic oscillator, often using a different source (like hlcc4) to provide a smoother, more reliable signal. A buy signal is generated when the Blue Line (d1) crosses above the Red Line (d2). A sell signal is generated when the Blue Line (d1) crosses below the Red Line (d2). Trend Filter (Optional): This feature uses a fast and a slow Exponential Moving Average (EMA) to determine the overall market trend. When the fast EMA is above the slow EMA, the background will turn green, indicating an uptrend. When the fast EMA is below the slow EMA, the background will turn red, indicating a downtrend. This filter can be toggled on or off in the indicator settings. How to Use: With Trend Filter Enabled (Recommended): Long (Buy) Entry: Look for a green triangle buy signal (▲). This signal only appears when: The Blue Signal Line crosses above the Red Signal Line. The market is in a confirmed uptrend (green background). Short (Sell) Entry: Look for a red triangle sell signal (▼). This signal only appears when: The Blue Signal Line crosses below the Red Signal Line. The market is in a confirmed downtrend (red background). Exit Signal: A yellow circle (●) appears to suggest closing an open trade. This signal is triggered for a long position if either the stochastics have a bearish cross or the trend flips to a downtrend. Conversely, for a short position, it's triggered by a bullish stochastic cross or a trend flip to an uptrend. With Trend Filter Disabled: If you turn off the "Use Trend Filter" option, the indicator will function as a simple dual stochastic crossover system. A green triangle (▲) will appear every time the Blue Line crosses above the Red Line. A red triangle (▼) will appear every time the Blue Line crosses below the Red Line. The background coloring and exit signals based on trend flips will be deactivated. This mode is more sensitive but may produce more false signals in choppy markets. Key Visuals: Blue Line: The primary signal line. Red Line: The secondary, often smoother, signal line. Green Triangle (▲): Bullish entry signal. Red Triangle (▼): Bearish entry signal. Yellow Circle (●): Suggested trade exit/stop. Green/Red Background: Visual confirmation of the current uptrend or downtrend. By filtering stochastic signals with the dominant trend, this indicator helps traders avoid common pitfalls like entering short positions during a strong uptrend or buying into a bearish market. This alignment of momentum and trend is key to improving signal quality. Disclaimer This indicator is provided for educational and informational purposes only and should not be considered as financial advice or a recommendation to buy or sell any asset. All trading and investment decisions are your own sole responsibility. Trading financial markets involves a high level of risk, and you may lose more than your initial investment. Past performance is not indicative of future results. The signals generated by this indicator are not guaranteed to be accurate, and you should always use this tool in conjunction with other forms of analysis and sound risk management practices. Before using this indicator in a live trading environment, it is strongly recommended that you backtest it thoroughly and practice with it on a demo account. The author is not responsible for any financial losses you may incur from using this script.
Pine Script® göstergesi
EkaSanatani tarafından
1
DM Impulse Enhanced [BackQuant]DM Impulse Enhanced What this is (and what it isn’t) DM Impulse Enhanced is a signal-driven overlay that classifies market action into two practical regimes: Long (risk-on) and Cash (risk-off). It’s built around a proprietary impulse model from the directional-movement family, wrapped in a persistence test and a state machine. Because this script is private, the core mechanics are intentionally abstracted here; what follows explains how to read and use it without revealing the protected calculation. Why traders use it Many tools oscillate or describe “how stretched” price is; fewer make a firm, operational call that you can automate. DM Impulse Enhanced aims to do exactly that declare when upside pressure is broad and durable enough to justify a long bias, and when deterioration is strong enough to stand aside (cash/short discretion). The emphasis is on impulse persistence rather than one-off spikes. What you see on the chart • Long / Cash markers – Green up-triangles (Long) and red down-triangles (Cash) plot at the bar where the regime changes. • Regime-tinted bars (optional) – Candles can be softly shaded green during Long and red during Cash for at-a-glance context. • Trend ribbon (context only) – A narrow ribbon (fast/slow moving averages) is tinted by the current regime to show trend alignment; it does not generate signals on its own. • No separate sub-pane – Signals are intended to sit directly on price for immediate decision-making. How the logic behaves (high-level) Impulse core – A directional-movement–based engine estimates the strength of buying vs. selling pressure over a user-defined horizon. Persistence gate – Instead of reacting to a single reading, the model evaluates how consistently that impulse dominates across a configurable lookback range. State machine – When persistence clears (or fails) a pair of thresholds, the model flips and stays in that regime until evidence justifies a change. This “stickiness” is intentional; it reduces whipsaws in choppy tape. Inputs & controls Calculation Settings • DM Length – The base horizon for the impulse engine. Longer = smoother/steadier; shorter = quicker/more reactive. • Start / End – Defines the span of the persistence check. Expanding the span asks the market to prove itself against more history before changing regime. Signal Settings • Long Threshold – The persistence level required to promote the model into Long. • Short Threshold – The level that, once crossed to the downside, demotes the model into Cash. Using a cross-under event for risk-off helps avoid premature exits on noise. Visual Settings • Long / Short colours – Customize marker and shading hues. • Color Bars? – Toggle candle tinting by regime (off if you prefer a clean chart). Reading the signals • Long prints only when the model observes sustained upside pressure across the configured span. Treat this as permission to engage with pullbacks, breakouts, or your preferred setups in the direction of the trend. • Cash prints when downside deterioration is strong enough to invalidate the prior regime. It’s a risk-off directive—flatten, hedge, or switch to short strategies according to your plan. • Regime persistence is a feature: once Long, the model won’t flip on minor dips; once Cash, it won’t re-arm on minor bounces. If you want more flips, shorten the spans and relax thresholds; if you want fewer, do the opposite. Practical tuning guide Match DM Length to your timeframe   – Intraday: smaller length for timely response.   – Swing/Position: larger length to filter desk-noise and track higher-timeframe flows. Size the persistence span to your goal   – Narrow span: faster regime changes, more trades, more noise.   – Wide span: fewer, higher-conviction calls, longer holds. Set realistic thresholds   – The Long threshold should be reachable with your chosen span; the Short threshold should be low enough to catch genuine deterioration but not so tight that it flips on every dip. Decide on cosmetics   – Turn on bar tinting for discretionary reading, or keep it off when exporting screenshots or running other overlays. Suggested workflows • Trend-following with discipline – Trade only in the Long regime; use structure (higher lows, anchored VWAP, or pullbacks to your MA stack) for entries and the Cash flip as a portfolio-level exit. • Risk overlay – Keep your normal strategy, but: reduce size when Cash appears; re-enable full risk only after Long reasserts. • Multi-timeframe gating – Require Long on a higher timeframe (e.g., 4H or 1D), then take entries on a lower one. If the high-TF posts Cash, stand down. How the ribbon fits in The ribbon visualizes short- vs. intermediate-term trend in the same colour as the regime. It’s deliberately “dumb”: it does not change the signal, it just helps you see when price action and regime are in harmony (e.g., pullbacks during Long that hold above the ribbon). Alerts included • DM Impulse LONG – Triggers as the persistence measure clears the Long threshold. • DM Impulse CASH – Triggers when deterioration crosses the Short threshold from above. Configure alerts to fire on bar close if you want final (non-intrabar) decisions. Strengths • Actionable binary output – Long/Cash is unambiguous and easy to automate. • Persistence-aware – Focuses on runs that endure, not one-bar excitement. • Asset/timeframe agnostic – Works anywhere you trust directional-movement concepts (equities, futures, crypto, FX). Limitations & cautions • Not a reversal caller – It’s a regime classifier. If you need early bottoms/tops, pair it with your own exhaustion or liquidity tools. • Parameter feasibility matters – If your thresholds are set beyond what your span can reasonably achieve, signals may rarely (or never) trigger. • Chop happens – In mean-reverting or news-driven tape, expect more frequent flips unless you widen spans and thresholds. • Intrabar movement – Like any responsive model, provisional intrabar states can appear before the bar closes. Use “bar close” alerts for finality. Getting started (safe defaults you can adapt) • Intraday bias – Shorter DM Length, modest span, moderately tight thresholds. • Swing filter – Longer DM Length, wider span, stricter Long and sufficiently low Short. • Conservative overlay – Keep thresholds firm and spans wide; use signals to scale risk rather than flip directions frequently. Summary DM Impulse Enhanced is a persistence-focused regime classifier built on directional-movement concepts. It answers a narrow question clearly “Risk-on or risk-off?” and stays with that answer until the evidence meaningfully changes. Use it as a bias switch, a portfolio risk overlay, or a gate for your existing entry logic, and size its spans/thresholds to the cadence of the market you trade.
Pine Script® göstergesi
BackQuant tarafından
11
TEEREX COUNTDOWN BY N' TEEREX HOONJONGPANG Features: Price Flip Detection – identifies initial buy/sell setups based on close price comparisons to previous bars. Setup Phase (1–9) – counts consecutive bars fulfilling Teerex number conditions; plots numbers on each candle. Cd Phase (1–13) – continues counting after Setup 9; highlights potential reversal points. Signals – marks Setup 9 and Countdown 13 with clear labels and arrows (“LONG” / “SELL”). TDST Lines – draws dynamic support (Buy TDST) or resistance (Sell TDST) lines based on Setup 9 highs/lows. These lines help identify potential breakout or bounce zones. Customizable Display – options to show/hide numbers, signals, and TDST lines; color-coded for clarity. Usage: Monitor Setup 9 and Countdown 13 labels for strong buy/sell signals. Use TDST lines as reference for support/resistance, target levels, or confirmation of trend continuation. Visuals: Numbers 1–9/1–13 appear on the chart for precise counting. Arrows and labels indicate Setup 9 completion and Cd 13 completion. TDST lines extend to the right, updating with each new Setup 9.
Pine Script® göstergesi
hoonjongpang tarafından
Erendev - Sessions for SweepsDescription: This indicator is designed for intraday traders who focus on liquidity sweeps and session-based market structure. It automatically draws session boxes for Asia, London, New York, and New York PM and highlights the highs and lows of each session. These levels act as important liquidity reference points. How it works: Session Boxes: Visualizes each trading session (Asia, London, New York, NY PM) with adjustable colors and transparency. Highs/Lows: At the close of each session, the indicator projects horizontal rays of the high/low until touched by price or until the day ends. Daily Separators: Optional background stripes or vertical lines mark new trading days, helping traders distinguish daily cycles. Day-of-Week Markers: Marks weekdays at the bottom of the chart to help align intraday patterns. Alerts: Alerts trigger when price interacts with session highs/lows, allowing traders to track liquidity sweeps in real time. Unique Concept: Unlike generic session indicators, this script integrates session-based liquidity sweeps directly into the workflow. It’s not only showing the sessions but also tracks untouched highs/lows as liquidity pools—a key ICT-inspired concept. By combining session timing, liquidity sweeps, and visual clarity, the tool provides a structured intraday map for traders. Usage: Works best on intraday timeframes (1m–60m). Above 2H, visuals are automatically disabled to keep charts clean. Traders can hide/show sessions individually and customize line styles, widths, and colors. Can be used across Forex, Futures, and Indices for scalping or day trading.
Pine Script® göstergesi
erendev tarafından
KML ALGO V6 – Elite Trading Bot🚀 KML ALGO - Professional Trading Bot by Ahmad Shoaib Kamal 💎 PREMIUM FEATURES: • Advanced ATR Trailing Stop Algorithm • Multi-Filter Smart System (RSI, MACD, Stochastic, Volume, Trend) • Intelligent Scoring System for High-Quality Signals • Universal: Works on ALL Markets & Timeframes • Live Information Dashboard • Professional Alert System ⚡️ WHAT MAKES IT SPECIAL: ✅ Eliminates False Signals with 5-Filter Validation ✅ Adaptive to Market Conditions ✅ Clean Visual Interface with Color-Coded Signals ✅ Real-time Performance Metrics ✅ Fully Customizable Parameters ✅ Works on Crypto, Forex, Stocks, Indices... 🎯 PERFECT FOR: • Day Traders seeking precise entries/exits • Swing Traders looking for trend confirmation • Automated Trading Systems • Professional Portfolio Management ⚙️ CUSTOMIZABLE SETTINGS: • Key Value (Signal Sensitivity) • ATR Period Configuration • Enable/Disable Any Filter • Fine-tune All Parameters • Heikin Ashi Support 🎨 PROFESSIONAL DISPLAY: • Dynamic Trailing Stop Line • Clear BUY/SELL Labels • Weak Signal Indicators • Live Stats Table • Smart Alerts ⭐️ DEVELOPED BY: Ahmad Shoaib Kamal 🔥 BATTLE-TESTED ALGORITHM 💰 INVITE-ONLY ACCESS 👉 “Exclusive Access – Apply Now to Unlock Premium Features” Perfect for Crypto, Forex, Stocks & Indices traders seeking high-accuracy signals with ATR, RSI, MACD, Stochastic, Volume & Trend analysis.
Pine Script® göstergesi
MT072 tarafından