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TeeLek-BestPositionThis indicator is used to indicate the best buying and selling points. This indicator will calculate the best buying points (blue) and selling points (orange). The working principle is that the blue point is the point where the RSI is Over Sold, the orange point is the point where the RSI is Over Bought. After that, we will use the Highest Line 100 and Lowest Line 100 to filter the points another layer. And because when Over Bought/Over Sold occurs, there will be continuous signals that are repeated, causing confusion. Therefore, there is a feature to leave a time frame. Set the default value to 24 hours. If a signal occurs, it will be left out. The appropriate point for buying is: The point where Over Sold occurs and Closes lower than the Lowest Line 100. Leave a time frame for 24 hours before a new signal occurs. The appropriate point for selling is: The point where Over Bought occurs and Closes higher than the Highest Line 100. Leave a time frame for 24 hours before a new signal occurs. It helps us to gradually buy and collect/sell for profit easily without confusion. อินดิเคเตอร์นี้ใช้ สำหรับบอกจุดซื้อจุดขายที่ดีที่สุด อินดิเคเตอร์นี้ จะคำนวณจุดซื้อ (สีฟ้า) และจุดขาย (สีส้ม) ที่ดีที่สุดมาให้ โดยหลักการทำงาน คือ จุดสีฟ้า คือจุดที่ RSI Over Sold จุดสีส้ม คือจุดที่ RSI Over Bought หลังจากนั้นเราจะใช้เส้น Highest Line 100 และ Lowest Line 100 เพื่อกรองจุดอีกชั้นหนึ่ง และเนื่องจากเมื่อเกิด Over Bought/Over Sold แล้ว มันจะเกิดสัญญาณต่อเนื่องซ้ำๆ ทำให้สับสน จึงได้มีฟีเจอร์ในการเว้นระยะเวลา ตั้งค่าไว้เริ่มต้นที่ 24 ชั่วโมง ถ้าเกิดสัญญาณแล้วก็จะเว้นระยะออกไป จุดที่เหมาะสมกับการซื้อ คือ จุดที่เกิด Over Sold และ Close ต่ำกว่าเส้น Lowest Line 100 เว้นระยะไป 24 ชั่วโมงจึงจะเกิดสัญญาณใหม่อีกครั้ง จุดที่เหมาะสมกับการขาย คือ จุดที่เกิด Over Bought และ Close สูงกว่าเส้น Highest Line 100 เว้นระยะไป 24 ชั่วโมงจึงจะเกิดสัญญาณใหม่อีกครั้ง ช่วยให้เราสามารถ ทยอยซื้อเก็บสะสม/ทยอยขายทำกำไร ได้ง่ายไม่สับสน
Pine Script®指標
由TeeLek提供
Sylvain Zig-Zag [Mark804]> Overview: The Sylvain Zig-Zag is a premium trend-tracking and structural turning-point indicator designed to identify precise market reversals, swing points, and support/resistance zones using a dynamic ATR-based Zig-Zag logic. > Key Features: Dynamic Zig-Zag Algorithm powered by ATR, percentage moves, absolute and tick-based reversal logic. Support & Resistance Zones auto-drawn from key swing points for real-time structural mapping. New Trend & Continuation Icons highlight trend shifts and extended moves with visual clarity. Customizable Colors & Line Widths to match your chart’s style or branding. Live Bar Coloring based on bullish or bearish trend structure. Highly Configurable: Adjust ATR period, reversal %, tick distance, absolute threshold, and more. > Ideal For: Swing Traders looking for clean structural highs/lows Smart Money Concept (SMC) practitioners Price Action traders Support/Resistance zone mappers Those who value premium visuals and minimal clutter > How It Works: This Zig-Zag engine calculates new swing highs or lows using a hybrid logic combining: ATR-based price movement filter Reversal percentage confirmation Optional absolute price or tick-based padding It plots each pivot, draws connecting lines, and generates real-time support/resistance levels based on recent pivots. > Visual Enhancements: Multi-layer polylines for deep contrast and style Optional trend labels (e.g., "Up Trend", "Down Trend") Transparent multi-line S/R stacking Real-time continuation icons for ongoing strength > Note: This indicator is Pine Script v5 compatible and follows TradingView's latest visual architecture. Publishing-ready. Fully customizable
Pine Script®指標
由Mark804提供
4
CVDoogle (CVDoogle Indicator)This is a free simple line indicator that represents Cumulative Volume Delta. The script has been tuned specifically to most popular timeframes to be more accurate of the timeframe of the chart. This may make the line appear less smooth than other indicators, but should be more accurate to the current timeframe of the chart. This indicator was created to be used along with the following to create a Poor Man's Exochart: Use Volume Footprint instead of Candles on the TradingView chart Settings: Row Size - Auto (ATR) ATR Length - 9 Display - Cluster Type - Delta Add Open Interest Suite - By Leviathan indicator Timeframes covered by this indicator 15s 30s 1m 2m 3m 5m 6m 10m 12m 15m 24m 30m 45m 1H 2H 3H 4H 5H 6H 8H 12H 1D
Pine Script®指標
由DoogDog提供
Price Volume Trend [sgbpulse]1. Introduction: What is Price Volume Trend (PVT)? The Price Volume Trend (PVT) indicator is a powerful technical analysis tool designed to measure buying and selling pressure in the market based on price changes relative to trading volume. Unlike other indicators that focus solely on volume or price, PVT combines both components to provide a more comprehensive picture of trend strength. How is it Calculated? The PVT is calculated by adding or subtracting a proportional part of the daily volume from a cumulative total. When the closing price rises, a proportional part of the daily volume (based on the percentage price change) is added to the previous PVT value. When the closing price falls, a proportional part of the daily volume is subtracted from the previous PVT value. If there is no change in price, the PVT value remains unchanged. The result of this calculation is a cumulative line that rises when buying pressure is strong and falls when selling pressure dominates. 2. Why PVT? Comparison to Similar Indicators While other indicators measure volume-price pressure, PVT offers a unique advantage: PVT vs. On-Balance Volume (OBV): OBV simply adds or subtracts the entire day's volume based on the closing direction (up/down), regardless of the magnitude of the price change. This means a 0.1% price change is treated the same as a 10% change. PVT, on the other hand, gives proportional weight to volume based on the percentage price change. A trading day with a large price increase and high volume will impact the PVT significantly more than a small price increase with the same volume. This makes PVT more sensitive to trend strength and changes within it. PVT vs. Accumulation/Distribution Line (A/D Line): The A/D Line focuses on the relationship between the closing price and the bar's trading range (Close Location Value) and multiplies it by volume. It indicates whether the pressure is buying or selling within a single bar. PVT focuses on the change between closing prices of consecutive bars, multiplying this by volume. It better reflects the flow of money into or out of an asset over time. By combining volume with percentage price change, PVT provides deeper insights into trend confirmation, identifying divergences between price and volume, and spotting signs of weakness or strength in the current trend. 3. Indicator Settings (Inputs) The "Price Volume Trend " indicator offers great flexibility for customization to your specific needs through the following settings: Moving Average Type: Allows you to select the type of moving average used for the central line on the PVT. Your choice here will affect the line's responsiveness to PVT movements. - "None" : No moving average will be displayed on the PVT. - "SMA" (Simple Moving Average): A simple average, smoother, ideal for identifying longer-term trends in PVT. - "SMA + Bollinger Bands": This unique option not only displays a Simple Moving Average but also activates the Bollinger Bands around the PVT. This is the recommended option for analyzing volatility and ranges using Bollinger Bands. - "EMA" (Exponential Moving Average): An exponential average, giving more weight to recent data, responding faster to changes in PVT. - "SMMA (RMA)" (Smoothed Moving Average): A smoothed average, providing extra smoothing, less sensitive to noise. - "WMA" (Weighted Moving Average): A weighted average, giving progressively more weight to recent data, responding very quickly to changes in PVT. Moving Average Length: Defines the number of bars used to calculate the moving average (and, if applicable, the standard deviation for the Bollinger Bands). A lower value will make the line more responsive, while a higher value will smooth it out. PVT BB StdDev (Bollinger Bands Standard Deviation): Determines the width of the Bollinger Bands. A higher value will result in wider bands, making it less likely for the PVT to cross them. The standard value is 2.0. 4. Visual Aid: Current PVT Level Line This indicator includes a unique and highly useful visual feature: a dynamic horizontal line displayed on the PVT graph. Purpose: This line marks the exact level of the PVT on the most recent trading bar. It extends across the entire chart, allowing for a quick and intuitive comparison of the current level to past levels. Why is it Important? - Identifying Divergences: Often, an asset's price may be lower or higher than past levels, but the PVT level might be different. This auxiliary line makes it easy to spot situations where PVT is at a higher level when the price is lower, or vice-versa, which can signal potential trend changes (e.g., higher PVT than in the past while price is low could indicate strong accumulation). - Quick Direction Indication: The line's color changes dynamically: it will be green if the PVT value on the last bar has increased (or remained the same) relative to the previous bar (indicating positive buying pressure), and red if the PVT value has decreased relative to the previous bar (indicating selling pressure). This provides an immediate visual cue about the direction of the cumulative momentum. 5. Important Note: Trading Risk This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever. Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Pine Script®指標
由sgbpulse提供
PCR tableOverview This indicator displays a multi-period table of forward-looking price projections. It combines normalized directional momentum (Positive Change Ratio, PCR) with volatility (ATR) and presents a forecast for upcoming time intervals, adjusted for your local UTC offset. Concepts & Calculations Positive Change Ratio (PCR): ((total positive change)/(total change)-0.5)*2, producing a value between –100 and +100. Synthetic ATR: Calculates average true range over the same lookbacks to capture volatility. PCR × ATR: Forms a volatility-weighted directional forecast, indicating expected move magnitude. Future Price Projection: Adds PCR × ATR value to current close to estimate future price at each lookahead interval. Table Layout There are 12 forecast horizons—1× to 12× the chart timeframe (e.g., minutes, hours, days). Each row displays: 1. Future Time: Timestamp of each projection (adjustable via UTC offset) 2. PCR: Directional bias per period (–1 to +1) 3. PCR × ATR: E xpected move magnitude 4. Future Price: Close + (PCR × ATR) High and low PCR×ATR rows are highlighted green for minimum value in the price forecast (buy signal) or red for maximum value in the price forecast (sell signal). How to Use 1. Set UTC offset to your time zone for accurate future timestamps. 2. View PCR to assess bullish (positive) or bearish (negative) momentum. 3. Use PCR × ATR to estimate move strength and direction. 4. Reference Future Price for potential levels over upcoming intervals, and for buy and sell signals. Limitations & Disclaimers * This model uses linear extrapolation based on recent price behavior. It does not guarantee future prices. * It uses only current bar data and no lookahead logic—compliant with Pine Script rules. * Designed for analytical insight, not as an automated signal or trade executor. * Best used on standard bar/candle charts (avoid non-standard types like Heikin‑Ashi or Renko).
Pine Script®指標
由Tradenometry提供
Hybrid Strategy with Position Control & Breakout Filter//@version=6 indicator('Hybrid Strategy with Position Control & Breakout Filter', overlay=true) // === INPUTS === emaFastLen = input.int(8, 'Fast EMA') emaSlowLen = input.int(21, 'Slow EMA') rsiLen = input.int(14, 'RSI Length') rsiOverbought = input.int(70, 'RSI Overbought') rsiOversold = input.int(30, 'RSI Oversold') macdFast = input.int(12, 'MACD Fast') macdSlow = input.int(26, 'MACD Slow') macdSignal = input.int(9, 'MACD Signal') volatilityMultiplier = input.float(1.0, 'ATR Multiplier for Volatility Filter') // === CALCULATIONS === emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) rsi = ta.rsi(close, rsiLen) = ta.macd(close, macdFast, macdSlow, macdSignal) atr = ta.atr(14) // === VOLATILITY FILTER === volatilityThreshold = ta.sma(atr, 14) * volatilityMultiplier isVolatile = atr > volatilityThreshold // === OPENING SPIKE LOGIC (first 15 mins of session only) === sessionStart = timestamp("America/New_York", year, month, dayofmonth, 9, 30) first15Min = time >= sessionStart and time < sessionStart + 15 * 60 * 1000 openingBreakout = first15Min and close > open and ta.change(close) > atr * 1.5 // === POSITION TRACKING === var int position = 0 // 0 = no position, 1 = long, -1 = short // === ENTRY CONDITIONS === longCondition = ((ta.crossover(emaFast, emaSlow) and rsi < rsiOverbought and macdLine > signalLine and isVolatile) or openingBreakout) and position != 1 shortCondition = ta.crossunder(emaFast, emaSlow) and rsi > rsiOversold and macdLine < signalLine and isVolatile and position != -1 // === EXIT CONDITIONS === exitLong = ta.crossunder(emaFast, emaSlow) exitShort = ta.crossover(emaFast, emaSlow) // === SIGNAL PLOTS === buySignal = longCondition sellSignal = shortCondition plotshape(buySignal, title='Buy Signal', location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text='BUY') plotshape(sellSignal, title='Sell Signal', location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text='SELL') // === STATE MANAGEMENT === if (longCondition) position := 1 if (shortCondition) position := -1 if (exitLong and position == 1) position := 0 if (exitShort and position == -1) position := 0 // === PLOT EMAs === plot(emaFast, color=color.orange, title='Fast EMA') plot(emaSlow, color=color.blue, title='Slow EMA')
Pine Script®指標
由srikanthreddyinvst提供
🧭 Harmonic Pressure Grid v1.0Purpose: The Harmonic Pressure Grid helps traders visually identify hidden pressure zones formed by harmonic swing ratios, filtered through RSI momentum and volume surges. These zones often act as powerful support or resistance levels, marking areas of potential price exhaustion or reversal. 🧩 Core Features: ✅ Automatic Swing Detection – Uses pivot highs/lows to map market structure ✅ Harmonic Ratio Matching – Highlights areas where price swings match common harmonic ratios (0.618, 1.0, 1.272, 1.618) ✅ RSI Slope Filter – Confirms upward or downward momentum during pressure formation ✅ Volume Spike Confluence – Validates the strength of pressure using abnormal volume ✅ Background Pressure Zones – Color intensity reflects confluence strength (green for potential support, red for resistance) 📈 How to Use: Look for green or red background zones on the chart. Green = Bullish pressure (potential support) Red = Bearish pressure (potential resistance) Zone strength is based on RSI direction + volume spike. Stronger zones = more likely to influence price Use zones for: Entry timing: Watch for reversal behavior or confirmation candles inside zones Exit planning: Use as target areas for partial or full take profit Confluence stacking: Combine with trendlines, Fibonacci, or your own price action logic 🔍 Tips: Works best in swing or positional setups, not scalping Can be combined with other indicators for added confirmation Use on any timeframe to reveal hidden structural pressure Tweak swing length or ratio tolerance for more or fewer zones
Pine Script®指標
由JasonHyde提供
SCPEM - Socionomic Crypto Peak Model (0-85 Scale)SCPEM Indicator Overview The SCPEM (Socionomic Crypto Peak Evaluation Model) indicator is a TradingView tool designed to approximate cycle peaks in cryptocurrency markets using socionomic theory, which links market behavior to collective social mood. It generates a score from 0-85 (where 85 signals extreme euphoria and high reversal risk) and plots it as a blue line on the chart for visual backtesting and real-time analysis. #### How It Works The indicator uses technical proxies to estimate social mood factors, as Pine Script cannot fetch external data like sentiment indices or social media directly. It calculates a weighted composite score on each bar: - Proxies derive from price, volume, and volatility data. - The raw sum of factor scores (max ~28) is normalized to 0-85. - The score updates historically for backtesting, showing mood progression over time. - Alerts trigger if the score exceeds 60, indicating high peak probability. Users can adjust inputs (e.g., lengths for RSI or pivots) to fine-tune for different assets or timeframes. Metrics Used (Technical Proxies) Crypto-Specific Sentiment Approximated by RSI (overbought levels indicate greed). Social Media Euphoria Based on volume relative to its SMA (spikes suggest herding/FOMO). Broader Social Mood Proxies Derived from ATR volatility (high values signal uncertain/mixed mood). Search and Cultural Interest Proxied by OBV trend (rising accumulation implies growing interest). Socionomic Wildcard Uses Bollinger Band width (expansion for positive mood, contraction for negative). Elliott Wave Position Counts recent price pivots (more swings indicate later wave stages and exhaustion).
Pine Script®指標
由gtvsteve提供
Tension Squeeze Clock v1.0🔥 Tension Squeeze Clock v1.0 Forecast explosive market moves before they happen. The Tension Squeeze Clock is a cyclical compression detector that identifies when the market is storing energy across multiple dimensions — and signals when that energy is about to uncoil. This indicator combines three critical components: 🔹 RSI Contraction – Detects when momentum is balanced and compressed 🔹 Volatility Squeeze – Measures low standard deviation in price movement 🔹 Range Tension – Flags tight candle ranges relative to average volatility When all three compressions align, the indicator prints a clear “Squeeze Ready” signal. When the pressure breaks, it signals “Squeeze Uncoiling” — a prime moment to watch for volatility surges or directional breakouts. 📈 Recommended Usage 🔍 This tool works especially well on the Daily timeframe, where coiled conditions often lead to significant price expansions. Use it to: Anticipate breakout setups Confirm coiled consolidation zones Add timing precision to your volume or divergence-based strategies 📊 Display Options Panel view with bar colors to reflect compression strength On-chart labels for squeeze signals Optional alerts when a squeeze begins or breaks Whether you're swing trading, trend riding, or timing reversals, the Tension Squeeze Clock helps you see what most indicators miss: the calm before the storm.
Pine Script®指標
由JasonHyde提供
D15 Precision IndicatorD15 Precision Indicator The D15 Precision Indicator is a high-accuracy intraday trading tool optimized for 15-minute charts. It identifies precise BUY and SELL signals only when all key conditions align: ✅ Price above/below EMA 21 & EMA 50 ✅ Price above/below VWAP ✅ Price within predefined support/resistance zones ✅ Break of Structure (BOS) confirmed by pivot levels ✅ High-volume breakout candle ✅ Optional confirmation from previous candles for added precision The script includes: Clear visual arrows (BUY/SELL) Dynamic background highlights for signals Support/Resistance zone boxes All key indicators plotted (EMA, VWAP, zones) Ideal for disciplined traders aiming for 80%+ win rate through strict signal filtering and visual clarity.
Pine Script®指標
由ozan_ksmz提供
Orthogonal Projections to Latent Structures (O-PLS)Version 0.1 Orthogonal Projections to Latent Structures (O-PLS) Indicator for TradingView This indicator, named "Orthogonal Projections to Latent Structures (O-PLS)", is designed to help traders understand the relevance or predictive power of various market variables on the future close price of the asset it's applied to. Unlike standard correlation coefficients that show a simple linear relationship, O-PLS aims to separate variables into "predictive" (relevant to Y) and "orthogonal" (irrelevant noise) components. This Pine Script indicator provides a simplified proxy of the relevance score derived from O-PLS principles. Purpose of the Indicator The primary purpose of this indicator is to identify which technical factors (such as price, volume, and other indicators) have the strongest relationship with the future price movement of the current trading instrument. By providing a "relevance score" for each input variable, it helps traders focus on the most influential data points, potentially leading to more informed trading decisions. Inputs The indicator offers the following user-definable inputs: * **Lookback Period:** This integer input (default: 100, min: 10, max: 500) determines the number of past bars used to calculate the relevance scores for each variable. A longer lookback period considers more historical data, which can lead to smoother, less reactive scores but might miss recent shifts in variable importance. * **External Asset Symbol:** This symbol input (default: `BINANCE:BTCUSDT`) allows you to specify an external asset (e.g., `BINANCE:ETHUSDT`, `NASDAQ:TSLA`) whose close price will be included in the analysis as an additional variable. This is useful for cross-market analysis to see how other assets influence the current chart. * **Plot Visibility Checkboxes (e.g., "Plot: Open Price Relevance", "Plot: Volume Relevance", etc.):** These boolean checkboxes allow you to toggle the visibility of individual relevance score plots on the chart, helping to declutter the display and focus on specific variables. Outputs The indicator provides two main types of output: Relevance Score Plots: These are lines plotted in a separate pane below the main price chart. Each line corresponds to a specific market variable (Open Price, Close Price, High Price, Low Price, Volume, various RSIs, SMAs, MFI, and the External Asset Close). The value of each line represents the calculated "relevance score" for that variable, typically scaled between 0 and 10. A higher score indicates a stronger predictive relationship with the future close price. Sorted Relevance Table : A table displayed in the top-right corner of the chart provides a clear, sorted list of all analyzed variables and their corresponding relevance scores. The table is sorted in descending order of relevance, making it easy to identify the most influential factors at a glance. Each variable name in the table is colored according to its plot color, and the external asset's name is dynamically displayed without the "BINANCE:" prefix. How to Use the Indicator 1. **Add to Chart:** Apply the "Orthogonal Projections to Latent Structures (O-PLS)" indicator to your desired trading chart (e.g., ETH/USDT). 2. **Adjust Inputs:** * **Lookback Period:** Experiment with different lookback periods to see how the relevance scores change. A shorter period might highlight recent correlations, while a longer one might show more fundamental relationships. * **External Asset Symbol:** If you trade BTC/USDT, you might add ETH/USDT or SPX as an external asset to see its influence. 3. **Analyze Relevance Scores:** * **Plots:** Observe the individual relevance score plots over time. Are certain variables consistently high? Do scores change before significant price moves? * **Table:** Refer to the sorted table on the latest confirmed bar to quickly identify the top-ranked variables. 4. **Incorporate into Strategy:** Use the insights from the relevance scores to: * Prioritize certain indicators or price actions in your trading strategy. For example, if "Volume" has a high relevance score, it suggests volume confirmation is critical for future price moves. * Understand the influence of inter-market relationships (via the External Asset Close). How the Indicator Works The indicator works by performing the following steps on each bar: 1. **Data Fetching:** It gathers historical data for various price components (open, high, low, close), volume, and calculated technical indicators (SMA, RSI, MFI) for the specified `lookback` period. It also fetches the close price of an `External Asset Symbol` . 2. **Standardization (Z-scoring):** All collected raw data series are standardized by converting them into Z-scores. This involves subtracting the mean of each series and dividing by its standard deviation . Standardization is crucial because it brings all variables to a common scale, preventing variables with larger absolute values from disproportionately influencing the correlation calculations. 3. **Correlation Calculation (Proxy for O-PLS Relevance):** The indicator then calculates a simplified form of correlation between each standardized input variable and the standardized future close price (Y variable) . This correlation is a proxy for the relevance that O-PLS would identify. A high absolute correlation indicates a strong linear relationship. 4. **Relevance Scaling:** The calculated correlation values are then scaled to a range of 0 to 10 to provide an easily interpretable "relevance score" . 5. **Output Display:** The relevance scores are presented both as time-series plots (allowing observation of changes over time) and in a real-time sorted table (for quick identification of top factors on the current bar) . How it Differs from Full O-PLS This indicator provides a *simplified proxy* of O-PLS principles rather than a full, mathematically rigorous O-PLS model. Here's why and how it differs: * **Dimensionality Reduction:** A full O-PLS model would involve complex matrix factorization techniques to decompose the independent variables (X) into components that are predictive of Y and components that are orthogonal (unrelated) to Y but still describe X's variance. Pine Script's array capabilities and computational limits make direct implementation of these matrix operations challenging. * **Orthogonal Components:** A true O-PLS model explicitly identifies and removes orthogonal components (noise) from the X data that are unrelated to Y. This indicator, in its simplified form, primarily focuses on the direct correlation (relevance) between each X variable and Y after standardization, without explicitly modeling and separating these orthogonal variations. * **Predictive Model:** A full O-PLS model is ultimately a predictive model that can be used for regression (predicting Y). This indicator, however, focuses solely on **identifying the relevance/correlation of inputs to Y**, rather than building a predictive model for Y itself. It's more of an analytical tool for feature importance than a direct prediction engine. * **Computational Intensity:** Full O-PLS involves Singular Value Decomposition (SVD) or Partial Least Squares (PLS) algorithms, which are computationally intensive. The indicator uses simpler statistical measures (mean, standard deviation, and direct correlation calculation over a lookback window) that are feasible within Pine Script's execution limits. In essence, this Pine Script indicator serves as a practical tool for gaining insights into variable relevance, inspired by the spirit of O-PLS, but adapted for the constraints and common use cases of a TradingView environment.
Pine Script®指標
由VolatilityRob提供
HA + HMA + VWAP🔍 Script Overview This indicator blends Heikin-Ashi smoothing, Hull Moving Average (HMA), and Volume Weighted Average Price (VWAP) to help traders identify trend direction and potential trade setups. The script provides buy/sell signals based on price action relative to HMA while anchoring the view to volume with VWAP. 📈 What It Does and How - Heikin-Ashi Calculations: Reduces noise by averaging candle structure, revealing clearer trend direction. - Hull Moving Average (HMA): A fast, smooth-moving average applied to Heikin-Ashi close prices, tuned to respond quickly to shifts in momentum. - VWAP Line: Acts as a dynamic fair-value reference, balancing price against volume over time. - Signal Logic: Generates visual Buy/Sell signals when the Heikin-Ashi close crosses the HMA. 🧠 Recommended Enhancements Using RSI + ATR For more refined entries and exits, use this indicator alongside Relative Strength Index (RSI) and Average True Range (ATR): - RSI for Momentum Confirmation: Ensure the buy signals align with upward momentum—RSI climbing from oversold zones adds conviction. - ATR for Volatility Awareness: Use ATR to size stops and evaluate risk. Avoid trades during volatility spikes or when ATR exceeds typical thresholds. - Three-Leg Alignment: When HA/HMA signal agrees with RSI momentum and ATR shows stable conditions, you get high-quality trade setups with better timing and risk control. This fusion helps discretionary traders filter noise and make confident decisions rooted in price action, volume, momentum, and volatility. ⚙️ Chart Display - HMA: red line - VWAP: gray line - Buy/Sell labels: green below bars for buys, red above bars for sells - Clean layout optimized for visual clarity This script is open-source and does not use future data or issue caution warnings. It’s designed to assist manual trading strategies, not provide automated trading decisions.
Pine Script®指標
由peasantzed提供
Z-Score Multi-Model ClusteringA price/volume clustering framework combining three market behavior models into a single indicator. Designed to help identify emerging trend strength, turning points, and volatility-driven entries or exits. 🔍 How It Works This indicator classifies market states by comparing normalized price/volume behavior (via Z-Score) to different types of statistical or geometric "cluster centers." You can choose from three clustering approaches: 🧠 Clustering Models 1. Percentile (Z+CVD) – Trend Momentum Bias Uses volume Z-Score + Cumulative Volume Delta (CVD). Detects institutional pressure by clustering volume surges with directional delta. Best for: Breakouts, momentum trades, volume-led reversals. Cluster Colors: 🔹 Green triangle = Strong bullish confluence 🔻 Red triangle = Bearish divergence (bull trap risk) ⚪ Gray = Neutral/low conviction 2. Euclidean (Z+Slope) – Swing Mean-Reversion Measures the angle of recent Z-score slope and compares it to directional cluster centers. Helps detect early directional shifts or exhaustion. Best for: Swing entries, pullback setups, exit timing 3. Hilbert Phase – Turn Detection via Signal Phase Applies Hilbert Transform to the Z-Score, measuring the phase difference between trend and oscillator components. Ideal for anticipating turns or detecting cyclical inflection points. Useful for: Scalping, top/bottom spotting, volatility fades ✅ Features Auto-updating cluster logic based on current data Tooltips and clean user interface Optional cluster bar coloring (can be toggled off) Signal-only plotting keeps candlesticks readable Clear entry/exit logic with triangle markers Supports trend, swing, and oscillation-based systems 🛠️ Suggested Use Cases Combine with VWAP, Session High/Low, or Liquidity Zones to confirm entry conditions. Use Cluster 2 (strong bullish) on pullbacks to trend structure for add-on entries. Use Cluster 1 in strong trends to watch for potential traps or exits. Toggle models based on your strategy: e.g., Hilbert for scalping, Percentile for macro trend breaks. 🧪 Best Timeframes Works across all markets and timeframes For Percentile (Z+CVD), use intraday TF with 1m–5m CVD source Hilbert and Euclidean preferred on 5m–1h for accurate slope/phase signals ⚠️ Notes Clusters do not generate trade signals alone; use them in context with structure, VWAP, or trend filters. Marker signals are filtered with a magnitude threshold to reduce noise.
Pine Script®指標
由immediatePerso44773提供
📊 TREND Indicator by Yogesh Mandloi 📊This custom-built TradingView indicator provides a visual and logic-based trend analysis dashboard using 4-hour RSI and EMA/SMA conditions, combined with entry/exit signals, alerts, and a toggle-controlled condition table. 🔍 Core Logic The strategy uses 4-hour timeframe data to identify potential bullish or bearish trends based on: RSI (14): Buy: RSI > 48 Sell: RSI < 52 EMA/SMA (Trend Filters): Buy: EMA 21 > SMA 55 High → uptrend confirmation Sell: EMA 21 < SMA 55 Low → downtrend confirmation Buy Signal = RSI > 48 AND EMA21 > SMA55 High Sell Signal = RSI < 52 AND EMA21 < SMA55 Low It only signals on first bar of condition (no repetitive signals) and gives exit alerts when the condition ends. 📈 Features ✅ Signal Plotting Green "BUY" arrows below bars when buy setup forms Red "SELL" arrows above bars when sell setup forms Gray "EXIT" markers when the trend condition invalidates ✅ Real-Time Alerts Entry alerts for both BUY and SELL signals Exit alerts to close positions ✅ Dynamic Visual Table An on-screen signal table shows the live status of each condition with color-coded clarity: ✅ Green: Condition met ❌ Red: Condition not met 🟧 Orange: Warning (bearish potential forming) ✅ Toggle Switches for Sections Users can control the visibility of each table section: Buy Conditions ✔️ Sell Conditions 🔻 Signal Summary 📌 Indicator Values 📊 This makes it easier to focus on relevant sections or declutter the chart view. ✅ Customizable Table Position You can change the table location: top_left, top_right, bottom_left, bottom_right ✅ Background Highlights Light Green background when buy conditions are active Light Red background when sell conditions are active
Pine Script®指標
由Trade_With_Trend_提供
10/20 MA Coil: Progressive Colors & Multi-Day BreakoutThis indicator detects price “coil” setups and highlights potential breakout or breakdown opportunities using moving average alignment and volatility compression. Features: • Coil Detection: • Identifies consolidation when: • The 10 and 20 MAs are tightly aligned (within user-defined tolerance) • Price is above both MAs and within 1.5x ADR of them • The 50 MA is rising • Progressive Coil Coloring: • Coil candles are colored in progressively darker orange as the streak continues • Bullish Breakout Signal: • Triggers when a green candle follows a coiled bar • The candle’s body must be greater than or equal to 1 ATR • Colored lime green • Bearish Breakdown Signal: • Triggers when a red candle follows a coiled bar • The candle’s body must be greater than or equal to 1 ATR to the downside • Colored black • Custom Candle Rendering: • Candle body color represents coil or breakout state • Wick and border are red or green to reflect price direction • Optional Debug Tools: • Coil streak, ATR, and distance from MAs can be plotted for deeper analysis This script is designed for traders looking to spot price compression and prepare for high-probability moves following low-volatility setups.
Pine Script®指標
由suresh789提供