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IV Rank as a Label (Top Right)IV Rank (HV Proxy) – Label Displays an IV Rank–style metric using Historical Volatility (HV) as a proxy, since TradingView Pine Script does not provide access to true per-strike implied volatility or IV Rank. The script: Calculates annualized Historical Volatility (HV) from price returns Ranks current HV relative to its lookback range (default 252 bars) Displays the result as a clean, color-coded label in the top-right corner Color logic: 🟢 Green: Low volatility regime (IV Rank < 20) 🟡 Yellow: Neutral volatility regime (20–50) 🔴 Red: High volatility regime (> 50) This tool is intended for options context awareness, risk framing, and volatility regime identification, not as a substitute for broker-provided IV Rank. Best used alongside: Options chain implied volatility Delta / extrinsic value Time-to-expiration analysis Note: This indicator does not use true implied volatility data.
Pine Script®指標
由NikoRojas提供
Long Short Trading System With TableSmart Trading System Pro is an advanced TradingView indicator designed for precision and clarity. It combines Order Blocks, Liquidity Zones, EMA trend alignment, MACD, RSI, Volume, and ATR-based risk management to generate high-quality LONG / SHORT signals. 🔹 Clear trade direction 🔹 Smart entry, stop-loss & multi-level take-profit 🔹 Automatic risk/reward & leverage calculation 🔹 Clean visual dashboard for fast decision-making Built for traders who value structure, confirmation, and risk control. Best suited for crypto, forex, and indices on all timeframes. Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. You are solely responsible for your trading decisions and outcomes.
Pine Script®指標
由Albay16提供
Universal Moving Average🙏🏻 UMA (Universal Moving Average) represents the most natural and prolly ‘the’ final general universal entity for calculating rolling typical value for any type of time-series. Simply via different weighting schemes applied together, it encodes: Location of each datapoint in corresponding fields (price, time, volume) Informational relevance of each datapoint via using windowing functions that are fundamental in nature and go beyond DSP inventions & approximations Innovation in state space (in our case = volatility) The real beauty of this development: being simply a weighting scheme that can be applied to anything: be it weighted median , weighted quantile regression, or weighted KDE , or a simple weighted mean (like in this script). As long as a method accepts weights, you can harness the power of this entity. It means that final algorithmic complexity will match your initial tool. As a moving ‘average’ it beats ALMA, KAMA, MAMA, VIDYA and all others because it is a simple and general entity, and all it does is encoding ‘all’ available information. I think that post might anger a lot of people, because lotta things will be realized as legacy and many paywalls gonna be ignored, specially for the followers of DSP cult, the ones who yet don’t understand that aggregated tick data is not a signal omg, it’s a completely different type of time series where your methods simply don’t fit even closely. I am also sorry to inform y’all, that spectral analysis is much closer to state-space methods in spirit than to DSP. But in fact DSP is cool and I love it, well for actual signals xD ... Weights explained & how to use them: as I already said, the whole thing is based on combining different set of weights, and you can turn them on/off in script settings. Btw I've set em up defaults so you can use the thing on price data out of the box right away. Price, Time, Volume weights: encode location of every datapoint in Price & TIme & Volume field Howtouse: u have to disable one weight that corresponds to the field you apply UMA to. E.g if you apply UMA to prices, you turn off price weighting And turn on time and volume weighting. Or if you apply UMA to volume delta, you turn off volume weighting And turn on price and time weighting. Higher prices are more important, this asymmetry is confirmed and even proved by the fact that prices can’t be negative (don’t even mention that incorrect rollover on CL contract in 2k20...). Signal weights: encode actuality/importance/relevance of datapoints. Howtouse: in DSP terms, it provides smoothing, but also compensates for the lag it introduces. This smoothness is useful if you use slope reversals for signal generation aka watching peaks and valleys in a moving average shape. It's also better to perturb smoothed outputs with this , this way you inject high freq content back, But in controlled way! Signal = information. The fundamental universal entity behind so-called “smoothing” in DSP has nothing to do with signals and goes eons beyond DSP. This is simply about measuring the relevance of data in time. First, new datapoints need some time to be “embedded” into the timeline, you can think of it as time proof, kinda stuff needs time to be proved, accepted; while earliest datapoints lose relevance in time. Second, along with the first notion, at the same time there’s the counter notion that simply weights new data more, acting as a counterweight from the down-weighting of the latest datapoints introduced by the first notion. The first part can be represented as PDF of beta(2, 2) window (a set of weights in our case). It’s actually well known as the Welch window, that lives in between so called statistical and DSP worlds, emerges in multiple contexts. Mainstream DSP users tho mostly don’t use this one, they use primitive legacy windowing function, you can find all kinds on this wiki page. Now the second part, where DSP adepts usually stop, is to introduce the second compensating windowing function. Instead they try to reduce window size, or introduce other kinds of volatility weights, do some tricks, but it ain’t provides obviously. The natural step here is to simply use the integral of the initial window; if the initial window is beta(2, 2) then what we simply need is CDF of beta(2, 2), in fact the vertically inverted shape of it aka survival function . That’s it bros. Simply as that. When both of these are applied you have smth magical, your output becomes smooth and yet not lagging. No arbitrary windowing functions, tricks with data modification etc Why beta(2, 2)? It naturally arises in many contexts, it’s based on one of the most fundamental functions in the universe: x^2. It has finite support. I can talk more bout it on request, but I am absolutely sure this is it. ^^ impulse response of the resulting weighs together (green) compared with uniform weights aka boxcar (red). Made with this script . Weighing by state: encodes state-space innovation of each datapoint, basically magnitude of changes, strength of these changes, aka volatility. Howtouse: this makes your moving average volatility aware in proper math ways. The influence of datapoints will be stronger when changes are stronger. This is weighting by innovations, or weighting by volatility by using squared returns. Why squared returns? They encode state‑space innovations properly because the innovation of any continuous‑time semimartingale is about its quadratic variation, and quadratic variation is built from squared increments, not absolute increments. Adaptive length is not the right way to introduce adaptivity by volatility xD. When you weight datapoints by squared returns you’re already dynamically varying ‘effective’ data size, you don’t need anything else. ... It’s all good, progress happens, that’s how the Universe works, that's how Universal Moving Average works. Time to evolve. I might update other scripts with this complete weighting scheme, either by my own desire or your request. ... ∞
Pine Script®指標
由gorx1提供
5
Supply-Demand Dominance & Energy RibbonOverview: This indicator is specifically fine-tuned for the Nasdaq (NAS100) market. It combines volume-based Delta analysis (Supply-Demand) with price kinetic energy (Slope) to identify high-probability reversal points and trend strength. Key Features & Usage: Supply-Demand Dominance (Top-Right Label): Analyzes volume spikes over a 50-period lookback to determine market control. Displays "매수 우위" (Bullish Dominance) or "매도 우위" (Bearish Dominance) in real-time. Energy Ribbon (Bottom Visualization): Calculates the slope of the TCI oscillator to visualize momentum intensity. Solid Green/Red: Strong momentum. Faded Green/Red: Weakening momentum or minor trend. Momentum Combo Signals (Circle Shapes): Triggered when WaveTrend and TCI oscillators cross in extreme zones (Overbought 70 / Oversold 30). Smart Filter: Signals are only shown when they align with the current Supply-Demand dominance, reducing "market noise." Volume Spikes (Arrow Symbols): Indicates abnormal volume activity (1.5x average delta). These arrows (↑/↓) help identify potential breakout points or the climax of a move even when a full combo signal isn't present.
Pine Script®指標
由eorneovy提供
SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events. 🔶 Advanced SMA-MAD Band Construction Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations. // Core SMA-MAD Framework SMA_Value = ta.sma(close, SMA_Length) Mean = ta.sma(close, MAD_Length) Abs_Deviation = abs(close - Mean) MAD_Value = ta.sma(Abs_Deviation, MAD_Length) // Adaptive Bands Upper_Band = SMA_Value + MAD_Factor * MAD_Value Lower_Band = SMA_Value - MAD_Factor * MAD_Value 🔶 Intelligent Dual-Filter System Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations. 🔶 Dynamic Trend Strength Engine Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements. 🔶 Super Trend-Style Direction Logic Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility. 🔶 ATR-Based Ribbon Visualization Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions. 🔶 Multi-Dimensional Visual Architecture Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components. 🔶 Slope Strength Validation Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position. 🔶 Signal Generation Framework Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates. This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
Pine Script®指標
由AlphaExtract提供
10
ATR + Moving AverageThis indicator shows a manually calculated Average True Range (ATR) along with a moving average of the ATR. The ATR measures current candle volatility. The ATR Moving Average shows the average candle size over the selected period. Both can use different smoothing types (RMA, SMA, EMA, WMA) for flexibility. It’s useful for seeing when price is stretched, volatility is expanding or contracting, and for higher-timeframe mean-reversion analysis.
Pine Script®指標
由seeyeahslater提供
Kijun Sen Standard Deviation | QuantLapse SystemsOverview The Kijun Sen Standard Deviation indicator by QuantLapse Systems is a volatility-aware trend-following framework that combines the structural equilibrium of the Kijun Sen (基準線) with statistically adaptive standard deviation bands. By anchoring trend detection to market structure and confirming direction through volatility expansion, the indicator delivers a cleaner, more reliable regime classification across varying market conditions. Rather than reacting to short-term noise, the system focuses on identifying statistically justified trend phases , making it well-suited for disciplined, rule-based trading. Technical Composition, Calculation, Key Components & Features 📌 Kijun Sen (基準線) – Structural Trend Baseline Calculated as the midpoint between the highest high and lowest low over a user-defined period. Represents market equilibrium and structural balance rather than short-term momentum. Naturally adapts to expanding and contracting price ranges. Provides a stable baseline for regime detection and volatility validation. Acts as the anchor for deviation bands and persistent trend-state logic. Unlike fast or reactive moving averages, the Kijun Sen emphasizes price structure and equilibrium , making it especially effective for higher-quality trend confirmation. 📌 Volatility Adjustment – Standard Deviation Bands Standard deviation is calculated over a configurable lookback to measure current price dispersion. Upper and lower envelopes are formed by applying a deviation multiplier to the Kijun Sen. Band width expands during volatility surges and contracts during consolidation. Creates proportional, volatility-aware thresholds instead of static offsets. Visually represents market energy through expanding and compressing channels. These adaptive bands ensure that trend signals only occur when volatility supports directional movement. 📌 Trend Signal & Regime Calculation Bullish Trend is confirmed when price closes above the upper deviation band. Bearish Trend is confirmed when price closes below the lower deviation band. Once established, the trend state persists until an opposing volatility break occurs. This persistence reduces whipsaws and improves regime stability. Trend state is reinforced with color-coded lines, envelopes, and background shading. This volatility-confirmed persistence model is visible in the chart, where trends remain intact through minor pullbacks and only flip on decisive expansion. How It Works in Trading ✅ Volatility-Confirmed Trend Detection – Requires expansion beyond deviation bands. ✅ Noise Suppression – Filters low-energy price movement within volatility envelopes. ✅ Regime Persistence – Maintains trend state until statistical invalidation. ✅ Immediate Visual Context – Direction, strength, and transitions are clear at a glance. Visual Representation Trend signals are displayed directly on price using both line and background context: 🟢 Green / Teal Kijun & Envelope → Confirmed bullish regime. 🔴 Red / Pink Kijun & Envelope → Confirmed bearish regime. Semi-transparent band fill visualizes volatility expansion and compression. Buy and Sell labels appear only on confirmed regime transitions. The lower panel includes: Strategy equity curve based on trend exposure. Buy & Hold equity for performance comparison. Background regime shading synchronized with trend state. Features and User Inputs The Kijun Sen Standard Deviation framework offers a focused yet powerful set of configurable inputs: Kijun Sen Length – Controls structural trend sensitivity. Standard Deviation Controls – Adjust lookback length and multiplier for regime strictness. Backtesting & Date Filters – Define evaluation periods and starting conditions. Display Options – Toggle labels, equity curves, and background shading. Color Customization – Fully configurable buy/sell colors for trends and equity curves. These controls allow users to balance responsiveness, stability, and clarity without overfitting. Practical Applications The Kijun Sen Standard Deviation indicator is designed for traders who prioritize structure, volatility confirmation, and regime awareness. Primary Trend Filtering – Identify and stay aligned with dominant market direction. Volatility-Aware Trend Following – Participate only when price expansion confirms intent. Risk-Managed Exposure – Avoid chop during compression and transitional phases. Systematic Strategy Development – Use as a regime engine or higher-timeframe filter. Performance Evaluation – Compare trend-following equity against buy-and-hold benchmarks. This framework bridges classical Ichimoku structure with modern statistical validation. Conclusion The Kijun Sen Standard Deviation indicator by QuantLapse Systems represents a refined evolution of Ichimoku-based trend analysis. By integrating the structural equilibrium of the Kijun Sen with adaptive standard deviation confirmation, the system delivers clearer regime classification, reduced noise, and more reliable trend participation. Rather than attempting to predict price, it focuses on confirming when trends are statistically justified . Who should use Kijun Sen Standard Deviation: 📊 Trend-Following Traders – Stay aligned with dominant market structure. ⚡ Momentum & Swing Traders – Enter only on volatility-backed expansions. 🤖 Systematic & Algorithmic Traders – Ideal as a regime filter or trend-state engine. Past performance is not indicative of future results. Disclaimer: All trading involves risk, and no indicator can guarantee profitability. Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your timeframe, asset class, and risk tolerance before live deployment.
Pine Script®指標
由QuantLapse提供
Trend Consensus Engine [TCE]The Trend Consensus Engine (TCE) is a comprehensive market analysis system designed to filter out noise and provide a quantifiable "Trend Score" (0-100). Instead of relying on a single indicator, this script aggregates data from multiple market factors—volatility, momentum, and trend structure—to generate high-probability entry signals based on a consensus logic. This tool is particularly optimized for Crypto (with specific time-gated logic) and BIST (Borsa Istanbul) markets, allowing traders to see the overall health of the trend at a glance via a dashboard. How It Works The engine calculates a composite "Total Score" (0-100) derived from four weighted components: Trend Structure (AlphaTrend & Guppy): Analyzes the slope and position relative to the AlphaTrend (Credit to @KivancOzbilgic) and Guppy Multiple Moving Averages (GMMA). Positive slopes and price action above key levels add points to the score. Volatility & Momentum (Squeeze & ADX): Incorporates the Squeeze Momentum logic (Credit to @LazyBear) to detect explosive moves. ADX Filter: Filters out chopping/ranging markets. If the ADX is too low, the score is penalized or the signal is blocked. Dynamic Resistance (MA Channels): Uses a combination of Donchian Mid-Lines and SMAs to determine if the price is in a "safe zone" or hitting resistance. Price Action Filters (Pinbar Veto): Automatically detects bearish "Shooting Star" or weak candles at highs. If a bearish pinbar is detected, the entry signal is vetoed regardless of the trend score. Features & Settings Smart Scoring Dashboard: Displays the realtime Score, Instant Decision, and confirmed Close Decision on the chart. Market Profiles: Crypto Mode: Includes a "Time Gate" feature (07:00 UTC+3 check) to prevent fakeouts during low-liquidity hours. BIST Mode: Optimized parameters for the Turkish stock market logic (14:00 session checks). Score Threshold: Users can adjust the minimum score required (Default: 70) to trigger a "BUY" signal. Visual Guidance: The background of the dashboard changes color (Green/Red/Yellow) based on the consensus. How to Use Check the Dashboard: Look at the "SONUÇ" (Result) row. GİRİŞ ✅ (ENTRY): The Score is above 70, Momentum is positive, and no Bearish Pinbars are present. BEKLE ⏳ (WAIT): The trend is weak, or a filter (like ADX or Squeeze) is blocking the trade. Confirm with Price Action: Use the AlphaTrend lines (Blue/Red) as dynamic support/stop-loss levels. Credits: AlphaTrend by KivancOzbilgic Squeeze Momentum Indicator by LazyBear VuManChu Cipher concepts for inspiration. Custom Logic: Scoring algorithm and Time-Gating mechanisms are original custom developments. Disclaimer: This tool is for educational purposes only and does not constitute financial advice.
Pine Script®指標
由scofield89提供
Liquidity Void and Repair EngineLiquidity Void & Repair Engine OVERVIEW The Liquidity Void & Repair Engine is a high-fidelity institutional order flow tool designed to identify and track "Market Imbalances" or "Fair Value Gaps" (FVG). Unlike standard gap indicators that clutter the chart with every minor price jump, this engine uses Volatility-Adjusted Range Mapping to isolate high-conviction voids where price moved so rapidly that liquidity was left "unfilled." The standout feature of this tool is its Active Repair Logic. The engine doesn't just draw static boxes; it monitors price action in real-time to determine when an imbalance has been "healed" by subsequent trading volume, providing a dynamic look at where the market has "unfinished business." TECHNICAL LOGIC & ORIGINALITY This script is published Open Source to contribute to the Pine Script community’s understanding of dynamic object management and order flow visualization. ATR-Relative Filtering: To ensure only significant voids are plotted, the script uses a user-defined ATR (Average True Range) multiplier. This filters out market noise and focuses on institutional "impulse" moves. Dynamic Box Management: Utilizing the Pine Script box array system, the script manages memory efficiently by updating existing objects rather than creating redundant ones. The "Repair" Algorithm: The script tracks the high and low of every active void. When price action fully traverses the coordinates of a void, the script "seals" the box, visually marking the moment of liquidity equilibrium. HOW TO USE 1. Identifying the "Magnet" (The Void) When price moves aggressively, it leaves a "hole" in the auction. Bullish Voids (Green): These represent areas where price surged so fast that buyers may still have unfilled orders sitting below. These act as Magnets for pullbacks. Bearish Voids (Red): These represent areas where price plummeted, leaving a vacuum of selling pressure. These act as Magnets for relief rallies. 2. Trading the "Repair" Process The Engine tracks how the market "repairs" these holes: Partial Fill: If price enters a box but doesn't cross it, the "Magnet" is still active. Full Repair: When a box is "sealed" (stops extending right), it indicates the imbalance is gone. If price "Seals" a green box and then bounces, it confirms the zone as Valid Institutional Support. 3. Confluence with the Trend Continuation: In a strong uptrend, look for price to drop into a Green Bullish Void and find support. This is often the "Golden Entry" for trend followers. Reversal Confirmation: If price ignores a Red Bearish Void and blasts right through it (sealing it instantly), it signals a massive shift in market regime and extreme bullish conviction. USER SETTINGS Lookback Period: How far back the engine searches for un-repaired gaps. Min Gap Size (ATR %): Increase this to see only the "Major" institutional gaps; decrease it for a more granular intraday look. Visual Styles: Fully customizable colors and transparency to match any chart theme (Dark/Light). NOTES & DISCLAIMER This script is a visualization of historical price imbalances and is intended for educational purposes only. It does not provide trade signals, entry/exit points, or financial advice. All trading involves risk.
Pine Script®指標
由GammaBulldog提供
2
Rainbow Road [kingthies]Rainbow Road Rainbow Road is a trend-structure and momentum visualization tool built around a cascading chain of smoothed simple moving averages. Instead of plotting independent moving averages on price, each line is progressively smoothed from the prior one using the same length, creating a layered “road” that reveals trend strength, direction, and transition with exceptional clarity. OVERVIEW Rainbow Road visualizes trend quality using a spectrum of fast-to-slow moving averages derived from one another. Because each average is smoothed from the prior line, the indicator forms a continuous structure rather than a collection of unrelated signals. This makes trend alignment, momentum expansion, and compression immediately visible. HOW IT WORKS The first average is a Simple Moving Average of price Each subsequent average is an SMA of the previous average using the same length This creates a cascading chain of averages with increasing smoothness Colors progress from red (fastest) to purple (slowest) to represent trend hierarchy HOW TO READ IT Strong Trend : All averages are aligned and expanding in the same direction Acceleration : Spacing between averages increases Deceleration : Spacing narrows while direction remains intact Consolidation : Averages converge and overlap Reversal Risk : Faster averages cross back through the slowest average TREND CONTEXT The optional fill between the fastest and slowest averages visualizes overall trend pressure. Expanding fill suggests strengthening momentum, while contracting fill highlights compression and potential regime change. USE CASES Trend confirmation and directional bias Momentum expansion vs compression analysis Identifying trend exhaustion and early reversal zones Contextual filtering for entries and exits WHY RAINBOW ROAD Traditional moving average stacks often produce clutter and redundant signals. Rainbow Road focuses on structure and flow, helping traders evaluate the quality of a trend rather than reacting to individual crossovers. BEST USED WITH Price action and market structure Support and resistance Volatility or range-based tools Higher-timeframe trend bias Rainbow Road is designed to sit quietly on your chart and clearly communicate whether the market is flowing, stalling, or preparing to turn.
Pine Script®指標
由kingthies提供
RSI Monitor (High/Low) + MTF & Time FilterDual-Source RSI: Calculates RSI on the candle High (to detect selling pressure/overbought) and Candle Low (to detect buying pressure/oversold) rather than just the Close. Multi-Timeframe (MTF) Dashboard: An on-screen table displays the Real-Time RSI High and Low values for your current chart plus two user-defined higher timeframes (e.g., 1H, 4H). Session-Based Alerts: A built-in time filter restricts alerts to a specific trading window (e.g., 09:30–16:00), effectively blocking signals during low-volume overnight sessions. Independent Alert Timeframe: You can configure alerts to monitor a specific timeframe (e.g., 60-min) regardless of the timeframe you are currently viewing. Real-Time Execution: Alerts trigger immediately when levels are crossed (no bar-close confirmation required), ensuring you catch moves as they happen.
Pine Script®指標
由toxfx提供
MarketMind LITEM🜁rketMind LITE ──────────────────── Essential Market Awareness, Reduced to Its Core M🜁rketMind LITE is a lightweight market awareness tool designed to display essential situational context . It provides basic orientation and movement awareness without interpretation, risk framing, diagnostics, or decision guidance. This script is designed as a standalone awareness layer. It does not evaluate trade quality, issue signals, or influence decision-making. WHAT IT DOES ──────────────────── M🜁rketMind LITE presents a minimal, static view of current market conditions focused entirely on awareness rather than analysis. The system displays only essential context, allowing traders to stay oriented without introducing judgment, noise, or implied direction. The script provides visibility into: Time-of-day session context Basic market regime classification (trending, range-bound, mixed) Short-term momentum direction only (up, down, neutral) A clean, static HUD display M🜁rketMind LITE also includes a minimal visual state indicator that reflects recent price responsiveness, intended to be observed over time alongside the trader’s own experience. The goal is to support awareness without influence . HOW TO USE IT ──────────────────── M🜁rketMind LITE is not a signal generator. It is designed to remain visible in the background of any chart, offering quiet orientation while traders rely entirely on their own process for analysis and execution. Common use cases include: Maintaining session awareness Preserving context during focused trading periods Reducing cognitive load while monitoring markets M🜁rketMind LITE does not evaluate risk, alignment, or opportunity. It simply shows what is happening. DESIGN PHILOSOPHY ──────────────────── M🜁rketMind LITE is intentionally minimal. It includes only essential awareness elements and excludes all interpretive or evaluative logic: Situational context only Directional momentum (up / down / neutral) No diagnostics, confidence, or conviction framing No process, risk, or quality assessment Presentation controls only (HUD on/off, size, position) Nothing is inferred. Nothing is suggested. This script shows market state without interpretation. WHO IT IS FOR ──────────────────── M🜁rketMind LITE is suited for traders who: Want passive situational awareness Prefer minimal on-chart information Already operate with a defined decision process It is not designed for: Analytical or diagnostic use Risk evaluation or context synthesis Traders seeking guidance or confirmation IMPORTANT NOTES ──────────────────── M🜁rketMind LITE does not provide financial advice No system can predict future price behavior This tool is designed for awareness only Used appropriately, M🜁rketMind LITE helps traders stay oriented without interference.
Pine Script®指標
由nedra-codes提供
Apex Trend & Liquidity Master V2.1The Apex Trend & Liquidity Master is a hybrid trading system designed to align traders with the dominant market trend while identifying key structural price levels. Unlike simple moving average crossovers or standalone support/resistance tools, this script integrates a volatility-adaptive "Trend Cloud" with a "Smart Liquidity" engine. This integration allows the script to offer unique filtering capabilities, such as hiding counter-trend liquidity zones to reduce chart noise and focus on high-probability continuations. How It Works Adaptive Trend Cloud The backbone of the system is the Trend Cloud, calculated using a Hull Moving Average (HMA) base with ATR bands. The cloud expands and contracts based on market volatility. Green Cloud: Bullish Regime. The market is trending up; look for long opportunities. Red Cloud: Bearish Regime. The market is trending down; look for short opportunities. Smart Liquidity Zones (with Integration) The script automatically detects Pivot Highs and Lows to draw Supply (Resistance) and Demand (Support) zones. These zones persist until price breaks through them (mitigation). Integration Feature: A "Filter Zones by Trend" option is included in the settings. When enabled, this feature connects the Trend Cloud to the Liquidity Engine: It will only display Demand zones when the Trend Cloud is Bullish. It will only display Supply zones when the Trend Cloud is Bearish. Note on Lag: Zones are based on pivots (default lookback: 10). A zone appears on the chart 10 bars after the pivot forms. These are historical structural levels. Signal Filters Buy and Sell labels are generated when the Trend Cloud changes color, but they are filtered to ensure quality: Volume Filter: Signals only appear if the current volume is higher than the 20-period average. RSI Filter: Prevents buying when RSI is overbought (>70) or selling when oversold (<30). Live HUD An on-chart dashboard provides real-time data on: Trend Bias: Direction of the cloud. Momentum: RSI strength (Weak/Neutral/Strong). Volume: High vs. Low activity. Usage Guide Identify the Trend: Use the background fill color to determine if you should be looking for longs (Green) or shorts (Red). Wait for Structure: Look for price to pull back into a "Smart Liquidity" zone. For example, in a Green Trend, wait for price to touch a Green Demand box. Confirm with Momentum: Check the Dashboard. Ideally, you want to see "Strong" momentum aligning with your trade direction. Settings: If the chart is too cluttered, enable "Filter Zones by Trend" in the settings menu to hide counter-trend boxes. Credits & Attribution This script combines original integration logic with adapted open-source concepts: Smart Liquidity Logic: The method for generating Supply/Demand boxes via Pivot Highs/Lows and array management is adapted from open-source logic commonly used in Smart Money Concepts (SMC) indicators, notably popularized by LuxAlgo and the broader Pine community. Trend Logic: The volatility cloud utilizes standard Hull Moving Average (HMA) and ATR formulas. Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance of pivot levels or trend signals does not guarantee future results.
Pine Script®指標
由DarkPoolCrypto提供
9
Market Pressure Regime [Interakktive]The Market Pressure Regime (MPR) is a 4-state market classifier that models how structural forces create "pressure zones" — regions where price movement is either supported (Release) or suppressed (Pinned) by market microstructure. It combines compression analysis, follow-through efficiency, and stress detection into a composite pressure score, classifying markets into Release, Suppressed, Transition, or Trap states — helping traders understand WHY price is moving (or not moving) in the current environment. █ USAGE MPR addresses a core question traders face: Is the market in a regime where directional moves are likely to follow through, or is it structurally pinned? For swing traders, MPR identifies Release phases where momentum strategies work best, and Suppressed phases where mean reversion dominates. For day traders, it highlights Trap conditions — high effort with no follow-through — where reversals are probable and trend entries fail. 🔹 The 4-State Model The indicator classifies markets into four distinct regimes: • Release (Teal): Pressure score ≥ +5. Directional flow dominates. Price moves efficiently with follow-through. Favor trend continuation. • Suppressed (Grey): Pressure score ≤ -5. Compression dominates. Price is range-bound or pinned. Fade extremes, expect reversion. • Transition (Amber): Score between thresholds OR instability detected. Regime is uncertain — wait for confirmation before committing. • Trap (Magenta): High stress + low follow-through. Effort without result. Expect reversals. 🔹 Reading the Pressure Histogram The histogram displays the composite Pressure Score (range approximately -100 to +100): • Positive values: Follow-through exceeds compression. Market is "releasing" — directional moves are supported. • Negative values: Compression exceeds follow-through. Market is "suppressed" — price movement is constrained. • Color reflects confirmed state: The histogram uses persistence filtering — a state must hold for N bars before the color changes, preventing false signals from noise. 🔹 The 5-Stage Calculation MPR synthesizes five analytical stages into the final state: 1. Compression Score: Measures how tight the current range is relative to ATR. High compression suggests structural forces are pinning price. 2. Follow-Through Score: Measures price path efficiency (MER-style). Efficient moves indicate genuine directional flow, not chop. 3. Stress Score: Detects effort-without-result (ERD-style). High volume or range with no price progress = absorption. 4. Composite Pressure: Combines follow-through and compression into a single directional score. 5. Persistence Filter: Requires states to hold for configurable bars before confirming, eliminating flickering. █ SETTINGS Core Settings • ATR Length: Period for volatility normalization. Default 14. • Baseline Lookback: Period for compression and efficiency baselines. Default 20. • Volume Average Length: Period for stress calculation baseline. Default 20. State Classification • Release Threshold: Pressure score above this = Release. Default +5. • Suppressed Threshold: Pressure score below this = Suppressed. Default -5. • Trap Threshold: Stress score above this (with low follow-through) = Trap. Default 30. • Persistence Bars: Bars required to confirm state change. Default 3. • Stability Lookback: Period for stability calculation. Default 20. • Stability Threshold: Below this = forced Transition state. Default 0.5. Visual Settings • Show Pressure Histogram: Display the main pressure score histogram. • Show Zero Line: Display the zero reference line. • Show Background Tint: Subtle background color by state (default OFF). Data Window • Show Data Window Values: Export all calculated scores for analysis. █ INTERPRETATION GUIDE When to Use Trend Strategies (Release): • Histogram tall and positive • Teal coloring confirmed • Price making efficient higher highs or lower lows When to Use Mean Reversion (Suppressed): • Histogram flat or negative • Grey coloring confirmed • Price oscillating without follow-through When to Wait (Transition): • Amber coloring • Mixed signals — don't force trades • Wait for state to resolve When to Expect Reversals (Trap): • Magenta coloring • High volume moves that don't stick • Often occurs at structural inflection points █ COMPLEMENTARY TOOLS MPR pairs well with: • Volatility State Index (VSI) — Confirms whether volatility is expanding into the pressure regime • Effort-Result Divergence (ERD) — Provides bar-by-bar absorption/vacuum detection • Market Efficiency Ratio (MER) — Validates follow-through quality █ SUITABLE MARKETS Works across all liquid markets: • Equities: SPY, QQQ, liquid single stocks • Futures: ES, NQ, CL, GC • Crypto: BTC, ETH • Forex: Major pairs Works on any timeframe, but 1H–Daily provides cleanest regime classification. Intraday (5m–15m) useful for session-level tactical decisions. █ OPEN SOURCE This indicator is open-source for educational purposes. Review the code to understand the full calculation methodology. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
Pine Script®指標
由Interakktive提供
1
GC1 Orderflow Engine - sudoTLDR This indicator measures relative buying and selling pressure by comparing GC1! futures returns against XAU price returns, normalized by their own volatility and weighted by GC1! volume. The result is a pressure histogram and line that show whether futures orderflow is leading, lagging, or diverging from spot gold in real time. What this indicator does The Orderflow Engine is designed to answer one core question: Is GC1! futures orderflow applying net pressure in the same direction as XAU, or pushing against it? It does this by isolating relative strength and weakness between futures and spot, rather than looking at price direction alone. How the pressure calculation works 1. GC1! futures returns and XAU returns are calculated bar by bar 2. Each return is normalized by its own recent volatility 3. The normalized XAU return is subtracted from the normalized GC1! return This creates a relative pressure value: Positive pressure - GC1! futures are outperforming XAU Negative pressure - GC1! futures are underperforming XAU Near zero - futures and spot are moving in balance To emphasize meaningful activity: GC1! volume is converted into a normalized score Higher-than-normal futures volume increases the weight of the pressure Low-volume pressure is naturally dampened The final output is clamped to keep the scale stable across different market conditions. Visual output Histogram Green bars - positive futures pressure Red bars - negative futures pressure Gray bars - neutral or minimal pressure Pressure line A smoother view of the same pressure data Useful for spotting momentum shifts and divergence Zero line Represents balance between futures and spot Crosses often mark changes in orderflow control Optional annotations Regime shift markers based on futures participation Optional percent-change labels for studying pressure acceleration How to use it -Confirm whether price moves are supported by futures orderflow -Spot early divergence between GC1! and XAU -Identify absorption , distribution , or initiative behavior -Filter entries by trading only when pressure aligns with your bias -This tool is best used as confirmation and context, not as a standalone signal generator. Design philosophy -Self-normalizing across sessions and volatility regimes -No fixed thresholds that break over time -Focused on relative behavior, not prediction -Built to pair naturally with the Participation Regime indicator
Pine Script®指標
由hondacivic2002提供
GC1 Participation Regime - sudoThis indicator analyzes COMEX GC1! futures activity and maps it directly onto your XAU price chart, allowing you to see when gold futures participation meaningfully increases or fades - without cluttering your workflow. Here is the TLDR version of the description (below): The "regime" is calculated by measuring how active GC1! futures are, compared to their own recent history. On each bar, the indicator looks at two things - volume (how much trading occurred) and true range (how much price actually moved). Each of these is compared to its recent average using a normalized score, which simply answers whether today’s activity is higher, normal, or lower than usual. Those two normalized values are then combined into a single participation score , optionally smoothed to reduce noise. That score is compared against user-defined thresholds and classified into one of four regimes - Low, Normal, High, or Extreme participation . In short, the regime shows whether current GC1! futures activity is unusually quiet or unusually active relative to its own recent behavior , without making any directional assumptions. What this indicator does -Measures GC1! futures volume and true range relative to their own historical behavior using z-scores -Combines those metrics into a single participation score -Classifies the market into four participation regimes Low Normal High Extreme Projects those regimes directly onto the XAU price chart Visual elements Background shading -Gray - Low participation -Blue - Normal participation -Green - High participation -Orange - Extreme participation Regime shift markers -Upward triangle below price when participation increases -Downward triangle above price when participation decreases Volume-informed candle coloring (optional) -High GC volume + bullish candle -High GC volume + bearish candle -Low GC volume + bullish candle -Low GC volume + bearish candle These visuals help you instantly identify whether price movement is occurring with real futures participation or during thinner conditions. How to use it -Identify high-quality environments for execution when participation is elevated -Filter breakouts, trends, and reversals based on whether GC futures are involved -Avoid overconfidence during low-participation regimes, where price moves are more prone to failure -Use regime transitions as context , not signals!! -This indicator is designed to be contextual , not predictive . Customization -Adjustable lookback lengths for volume and range -Fully tunable regime thresholds -Optional background shading -Optional regime shift markers -Optional candle recoloring based on GC volume behavior Everything can be dialed up or down depending on how visually minimal you want your chart to be. Notes -Built specifically around COMEX GC1! futures -Designed to disappear if GC data is unavailable -Works on all intraday and higher timeframes
Pine Script®指標
由hondacivic2002提供
Friday Statistical Zones - Last 30 Fridays Only BTC 📊 Friday Statistical Zones (Pre / Dump / After) This indicator highlights statistical risk zones for Fridays, based on the last 30 completed Fridays. It analyzes historical price and volume behavior to determine: • When a Pre-Dump phase typically starts • When selling pressure statistically peaks • When the After-Dump phase usually occurs The result is a time-based overlay with three zones: 🟡 Pre-Dump · 🔴 Dump · 🟡 After-Dump ⚠️ This is not a signal indicator. It does not predict price direction. It provides risk-timing context only. Best used for risk management and situational awareness on Fridays, not as a standalone trading strategy.
Pine Script®指標
由Astroji_bera提供
Volatility State Index [Interakktive]The Volatility State Index (VSI) classifies market volatility into three behavioral states: Expansion, Decay, and Transition. It answers one question visually: Is volatility supporting price movement, withdrawing, or unstable? Unlike traditional volatility indicators that show levels or bands, VSI diagnoses the current volatility regime so traders can adapt their approach accordingly. █ WHAT IT DOES • Classifies volatility into three states: Expansion (teal), Decay (grey), Transition (amber) • Measures volatility momentum as a percentage rate-of-change • Applies stability filtering to detect unstable/choppy conditions • Uses persistence logic to prevent state flickering • Exports state data for use in alerts and strategies █ WHAT IT DOES NOT DO • NO buy/sell signals • NO entry/exit recommendations • NO alerts (v1 is diagnostic only) • NO performance claims This is a volatility diagnostic tool, not a trading system. █ HOW IT WORKS The VSI processes volatility through a five-stage pipeline: STAGE 1 — Base Volatility Calculates ATR as the foundation for volatility measurement. STAGE 2 — Smoothing Applies EMA smoothing to reduce noise in the volatility series. STAGE 3 — Volatility Momentum Computes the percentage rate-of-change of smoothed volatility: Volatility Momentum (%) = ((Current ATR - Previous ATR) / Previous ATR) × 100 Positive values indicate expanding volatility; negative values indicate contracting volatility. STAGE 4 — Stability Filter Tracks how frequently volatility momentum changes direction. Frequent sign changes indicate unstable, choppy conditions. Stability Score = 1 - (Average Flip Rate) Low stability forces the Transition state regardless of momentum level. STAGE 5 — State Classification Combines momentum thresholds and stability to determine the final state: • Expansion: Momentum ≥ +5% (default threshold) • Decay: Momentum ≤ -5% (default threshold) • Transition: Between thresholds OR low stability A persistence filter requires states to hold for multiple bars before confirming, preventing visual noise. █ INTERPRETATION EXPANSION (Teal) Volatility is increasing in a sustained way. Price moves are becoming larger. What it suggests: • Breakouts are more likely to follow through • Stops may need wider placement • Trend-following approaches tend to work better • Mean-reversion weakens DECAY (Grey) Volatility is decreasing. Price is compressing into tighter ranges. What it suggests: • Breakouts are more likely to fail • Ranges tend to hold • Trend-following underperforms • Mean-reversion strengthens TRANSITION (Amber) Volatility behavior is unclear or unstable. This is NOT neutral — it is uncertainty. What it suggests: • Mixed signals — one bar huge, next bar dead • Higher whipsaw risk • Reduced conviction in either direction • Consider waiting for clarity The key insight: Amber is a warning, not a middle ground. It appears when volatility cannot decide what it wants to do. █ VISUAL DESIGN The indicator uses a state-first histogram design: • Histogram height shows volatility momentum percentage • Histogram color shows the classified state • Zero line provides visual anchor • Optional momentum line for confirmation • Optional background tint (default OFF for clean charts) The visual hierarchy prioritizes instant state recognition. A trader should understand the volatility environment in under one second without reading numbers. █ INPUTS Core Settings • ATR Length: Base volatility measurement period (default: 14) • Smoothing Length: EMA smoothing applied to ATR (default: 10) • Momentum Length: Rate-of-change lookback (default: 10) State Classification • Expansion Threshold (%): Momentum above this = Expansion (default: 5.0) • Decay Threshold (%): Momentum below this = Decay (default: -5.0) • Persistence Bars: Bars required to confirm state change (default: 3) • Stability Lookback: Window for stability calculation (default: 20) • Stability Threshold: Below this = forced Transition (default: 0.5) Visual Settings • Show State Histogram: Toggle main display (default: ON) • Show Momentum Line: Thin confirmation line (default: OFF) • Show Zero Line: Baseline reference (default: ON) • Show Background Tint: Subtle state coloring (default: OFF) █ DATA WINDOW EXPORTS When enabled, the following values are exported: • ATR (Raw) • ATR (Smoothed) • Volatility Momentum (%) • Stability Score (0-1) • State (-1/0/1): Decay = -1, Transition = 0, Expansion = 1 • Is Expansion (0/1) • Is Decay (0/1) • Is Transition (0/1) These exports allow VSI to be used as a filter in Pine Script strategies or alert conditions. █ ORIGINALITY While ATR and volatility indicators are common, VSI is original because it: 1. Classifies volatility into behavioral states rather than showing raw levels 2. Applies momentum analysis to volatility itself (rate-of-change of ATR) 3. Uses stability filtering to detect genuinely unstable conditions 4. Implements persistence logic to prevent state flickering 5. Provides a state-first visual design optimized for instant recognition VSI is state-first: it classifies volatility regimes (Expansion/Decay/Transition) rather than plotting volatility level alone, using momentum and stability to reduce false regime reads. This is not a modified ATR or Bollinger Band — it is a volatility regime classifier. █ SUITABLE MARKETS Works on: Stocks, Futures, Forex, Crypto Timeframes: All timeframes — state classification adapts accordingly Best on: Instruments with consistent volatility patterns █ RELATED • Market Efficiency Ratio — measures price path efficiency • Effort-Result Divergence — compares volume effort to price result █ DISCLAIMER This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
Pine Script®指標
由Interakktive提供
1
CVD & Big Trade Detector By HKOverview The CVD & Big Trade Detector By HK offers a unique perspective on Cumulative Volume Delta (CVD). This indicator utilizes Floating Bars (Candles) to visualize the cumulative buying and selling pressure. This design allows you to clearly see the net delta of each specific candle relative to the cumulative trend. Additionally, it integrates the "Big Trade" algorithm to highlight statistically significant volume anomalies (Whale activity) directly on the CVD bars. How it Works Since standard volume data does not always provide buy/sell splitting, this script estimates intrabar pressure using price action logic: Buying Pressure: Calculated based on the push from the Low to the Close. Selling Pressure: Calculated based on the push from the High to the Close. The indicator then calculates the Delta (Buy Vol - Sell Vol) and accumulates it. Floating Bars: Instead of plotting from the zero-line, each bar opens at the previous CVD value and closes at the new cumulative value. Teal/Green Bar: Net buying in the current period (CVD increased). Maroon/Red Bar: Net selling in the current period (CVD decreased). Key Features Floating CVD Structure: Prevents the "barcode effect" common in histogram CVDs. It provides a clean, candle-like view of momentum accumulation. Whale Detection: The script calculates the moving average and standard deviation (Sigma) of the buying/selling volume. Green Dots: Appear when buying volume exceeds the statistical threshold (Signifying a "Big Buy"). Red Dots: Appear when selling volume exceeds the statistical threshold (Signifying a "Big Sell"). Precise Positioning: Whale markers are plotted exactly at the closing value of the CVD bar, showing you exactly where the volume spike impacted the delta. How to Use Divergences: Look for situations where Price makes a Higher High, but the CVD Bars fail to make a new high (bearish divergence). Absorption: If you see a Large Whale Dot on a very small CVD bar (doji-like), it indicates massive volume fighting for direction with little net result—often a sign of absorption or a pending reversal. Trend Confirmation: Strong floating bars in the direction of the trend, accompanied by Whale Dots, confirm smart money participation. Settings Lookback Period: Defines the baseline for the statistical volume calculation (default: 50). Sensitivity (Sigma): Adjusts how strict the "Whale" detection is (default: 3.0). Higher values = fewer, more significant signals. Colors: Fully customizable colors for Up/Down bars and Buy/Sell markers. Built with Pine Script™ v6
Pine Script®指標
由colacorn提供
2