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ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use) Overview This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars. The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve. --- Why use logarithms? Price action is typically more meaningful in **percentage moves** than in absolute dollar moves. * A move from $100 → $200 is +100% * A move from $2000 → $2100 is only +5% By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes. So instead of modelling (P), the indicator models: --- The growth model: Power-law curve The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time: where (t) is the number of days (or bars) since the first data point. It then fits a straight-line model in log-log space: Substituting back in: Exponentiating both sides gives the curve in normal price units: This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports. --- What “expanding regression” means The model uses all data available from the beginning of the chart up to the current bar. That means: * Early in the asset’s history the curve can change more because there are fewer points. * Over time the curve becomes more stable as more history is included. Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in. --- Measuring “typical deviation” from the curve (residual volatility) Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it. At any time point: * Actual log price is (y = \ln(P)) * Predicted log price from the curve is (\hat{y} = a + b\ln(t)) The **residual** is: The indicator computes the standard deviation of these residuals: This (\sigma) is a measure of typical “distance from trend” in log terms. --- Building the bands (the key idea) The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down: Upper band (k): Lower band (k): Where: * (k) is the band number (1, 2, 3, …) * (s) is a user-chosen spacing factor (band spacing) * (\sigma) is the residual standard deviation Converting back to normal price: Upper band (k): Lower band (k): Why bands look like “translated copies” Because shifting by a constant in log space equals multiplying by a constant in price space: So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts. --- Optional curve shift (manual adjustment) A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower. Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor: * Positive shift → multiplies all bands upward * Negative shift → multiplies all bands downward --- How to interpret the zones The base curve represents a long-term “trend center” in log-growth terms. * Price near the base curve → near long-term trend * Price in upper bands → expensive relative to long-term trend * Price in lower bands → cheap relative to long-term trend Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels. --- Long-term buy zones (Lower 1 and Lower 2) **Lower 1** and **Lower 2** are intended as **long-term accumulation zones**. When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to: * deep bear markets, * high fear / capitulation phases, * long accumulation periods. A simple long-term framework many users apply: * **Accumulate gradually when price enters Lower 1** * **Accumulate more aggressively when price enters Lower 2** * Reduce risk / take profits progressively in higher upper bands These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions. --- ## Notes / limitations * This indicator is a **macro trend tool**, not an intraday trading system. * The curve is derived from historical behavior; it can shift slowly as new data arrives. * Extremely new market regimes or structural changes can reduce reliability. * Use alongside risk management and additional confirmation if trading. ---
Indicateur Pine Script®
par Giovanni_Ambrosio
Teemo Volume Delta & Market HUDTeemo Volume Delta & Market HUD Description: Teemo Volume Delta goes beyond simple volume indicators to provide expert-level analysis of Buy and Sell pressure within the market. It visualizes supply/demand imbalances inside candles and provides an immediate grasp of market control via a real-time HUD. With the v1.2.0 update, we have removed unnecessary overlays (like EMAs) to focus on Pure Delta Analysis and a flexible Smart Accumulation System, making the tool lighter and more powerful. 🚀 Key Features 1. Dual Calculation Modes Offers two calculation methods tailored to your trading environment and goals: Estimation: Rapidly estimates buy/sell volume based on candle shape (OHLC) and price range. It features fast loading times and works instantly on all assets. Intraday: Analyzes lower timeframe data (e.g., 1-minute bars) to calculate the precise delta of the current timeframe. (Loading time may vary depending on TradingView data limits.) 2. Smart Accumulation System Supports strategic analysis beyond simple summation with two distinct modes: Time Based: Resets the Cumulative Delta to 0 at specific intervals (e.g., every 4 hours, Daily). This is optimized for session-based analysis or day trading. Infinite: Continuously accumulates data without resetting, ideal for analyzing long-term Divergences between price and delta. 3. Intuitive HUD (Heads-Up Display) Displays critical market data on the chart for instant decision-making: Delta Panel: Shows real-time Buy/Sell volume and Net Delta for the current candle. Market HUD: Provides a comprehensive view of Trend Strength (ADX), Momentum (RSI), and the Cumulative Buy/Sell status for the current period. 4. Teemo Design System (v1.2) Provides optimized color themes for visual comfort during long trading sessions: Teemo Neon: High-contrast Mint/Purple theme optimized for dark backgrounds. Classic Soft: A calming Soft Green/Red theme designed to reduce eye strain (Recommended for all backgrounds). ⚙️ Settings Guide Calculation Mode: Choose between Estimation (Speed) or Intraday (Precision). Accumulation Mode: Choose Time Based (Periodic Reset) or Infinite (Continuous). Reset Period: Set the reset interval for Time Based mode (e.g., 1D = Daily Reset). Color Preset: Select between Teemo Neon or Classic Soft themes. 💡 Trading Tips Delta Divergence: If the price makes a higher high but the Cumulative Delta (HUD) makes a lower high, it signals weakening buying pressure and a potential reversal. Candle Coloring: A solid Mint (or Green) candle body indicates a price rise accompanied by strong actual buying volume, offering higher reliability than standard candles. HUD Confluence: Consider trend-following entries when the ADX is above 25 and the Delta is heavily skewed in one direction. This indicator is for informational purposes only and does not constitute financial advice. The Estimation mode provides approximations based on algorithms, and the Intraday mode's accuracy depends on the quality of the lower timeframe data provided by the exchange. Developed by Teemo Trading Systems ------------------------------------------------------------------------ Teemo Volume Delta & Market HUD 설명 본문: Teemo Volume Delta는 단순한 거래량 지표를 넘어, 시장 내부의 매수(Buy)와 매도(Sell) 압력을 정밀하게 분석하는 전문가용 도구입니다. 캔들 내부의 수급 불균형을 시각화하고, 실시간 HUD를 통해 시장의 주도권이 누구에게 있는지 즉각적으로 파악할 수 있도록 돕습니다. v1.2.0 업데이트를 통해 불필요한 보조지표(EMA)를 제거하고, 순수한 델타 분석과 유연한 누적(Accumulation) 시스템에 집중하여 더욱 가볍고 강력해졌습니다. 🚀 주요 기능 (Key Features) 1. 듀얼 계산 모드 (Dual Calculation Modes) 사용자의 환경과 목적에 맞춰 두 가지 계산 방식을 제공합니다. Estimation (추정 모드): 캔들의 형태(OHLC)와 가격 변동폭을 기반으로 매수/매도 볼륨을 빠르게 추정합니다. 로딩 속도가 빠르며 모든 자산에 즉시 적용 가능합니다. Intraday (정밀 분석 모드): 하위 타임프레임(예: 1분봉)의 데이터를 분석하여 상위 타임프레임의 델타를 정밀하게 계산합니다. (TradingView 데이터 제한에 따라 로딩 시간이 소요될 수 있습니다.) 2. 스마트 누적 시스템 (Smart Accumulation) 단순 누적을 넘어, 전략적 분석을 위한 두 가지 모드를 지원합니다. Time Based: 지정한 주기(예: 4시간, 1일)마다 누적 델타를 **0으로 초기화(Reset)**합니다. 세션별 수급 분석이나 데이 트레이딩에 최적화되어 있습니다. Infinite: 초기화 없이 데이터를 계속 누적하여, 장기적인 가격과 델타의 **다이버전스(Divergence)**를 분석하는 데 유용합니다. 3. 직관적인 HUD (Heads-Up Display) 차트 우측과 좌측에 핵심 정보를 요약하여 보여줍니다. Delta Panel: 현재 캔들의 매수/매도 거래량과 순매수(Net Delta) 상태를 실시간으로 표시합니다. Market HUD: ADX(추세 강도), RSI(모멘텀), 그리고 현재 구간의 누적 매수/매도 현황을 한눈에 볼 수 있습니다. 4. Teemo Design System (v1.2) 장시간 차트를 보는 트레이더를 위해 시인성이 뛰어난 컬러 테마를 제공합니다. Teemo Neon: 어두운 배경에 최적화된 고대비 민트/퍼플 테마. Classic Soft: 눈의 피로를 줄여주는 차분한 그린/레드 테마 (밝은/어두운 배경 모두 추천). ⚙️ 설정 가이드 (Settings) Calculation Mode: Estimation(속도 중심) 또는 Intraday(정확도 중심) 중 선택. Accumulation Mode: Time Based(주기별 리셋) 또는 Infinite(무한 누적) 선택. Reset Period: Time Based 모드 사용 시 리셋할 주기 설정 (예: 1D = 매일 리셋). Color Preset: Teemo Neon 또는 Classic Soft 테마 선택. 💡 활용 팁 (Trading Tips) 델타 다이버전스: 가격은 신고가를 갱신하지만 누적 델타(Cum Delta)는 낮아진다면, 매수세가 약화되고 있다는 강력한 반전 신호입니다. 캔들 컬러링: 캔들의 몸통 색상이 짙은 민트색(또는 그린)이라면 강력한 매수세가 동반된 상승을 의미하며, 신뢰도가 높습니다. HUD 활용: ADX가 25 이상이면서 델타가 한쪽 방향으로 쏠릴 때 추세 매매를 고려하세요. 이 지표는 정보 제공의 목적으로만 사용되며, 재정적 조언이 아닙니다. Estimation 모드는 근사치를 제공하며, Intraday 모드는 거래소에서 제공하는 하위 데이터의 품질에 따라 정확도가 달라질 수 있습니다.
Indicateur Pine Script®
par TeemoBKK
srd786-Intraday VWAP Price Action IndicatorDISCLAIMER This Pine Script indicator does not constitute financial advice; it is just intended for educational and informational purposes. It functions as a tool for technical analysis that could help traders spot possible trading opportunities. It is crucial to remember that participating in financial markets has a number of risks that might result in large losses and are not suitable for all investors. Users are encouraged to conduct their own thorough investigation and analysis prior to using this indicator. Avoiding trading with money that one cannot afford to lose is essential. It is also advised to seek advice from a certified financial expert. Users must use suitable risk management techniques and recognize that past success does not guarantee future outcomes. Any losses, damages, or other consequences resulting from the usage of this indicator are not the author's responsibility. The user is ultimately responsible for all trading decisions, therefore using this tool is at their own risk. INTRODUCTION The “srd786-Intraday VWAP Price Action Indicator” is a sophisticated Pine Script (version 6) trading tool designed for intraday traders who focus on New York session trading hours. This indicator combines multiple technical analysis concepts including Volume Weighted Average Price (VWAP), Average True Range (ATR) for risk management, swing point detection for support/resistance identification, and momentum analysis through RSI. The primary objective is to generate high-probability long and short signals based on price action confluence with trend, momentum, and key structural levels. 1. VWAP (Volume Weighted Average Price): Shows the "fair" average price based on both price and trading volume. 2. ATR (Average True Range): Measures how much the price typically moves each day. 3. Trend Analysis: Identifies whether the market is going up, down, or sideways. 4. Momentum Indicators: Shows how strong the current price movement is. 5. Support & Resistance: Identifies key price levels where the price might stop or reverse. 6. Swing Points: Finds significant turning points in the price. This indicator is specifically optimized for the New York trading session (9:30 AM to 4:00 PM ET), making it particularly suitable for traders who focus on US market hours. It provides a complete trading framework that includes not only signal generation but also precise trade management levels including entry prices, stop-loss orders, and profit targets based on a configurable reward-to-risk ratio. The philosophy behind this indicator is confluence-based trading. Rather than relying on a single indicator or condition, it requires multiple factors to align before generating a trade signal. This approach filters out lower-probability setups and focuses only on high-quality opportunities where price action, trend direction, momentum, and key technical levels all point in the same direction. CORE CONCEPT AND METHODOLOGY Volume Weighted Average Price (VWAP) VWAP is the cornerstone of this indicator's trading methodology. Unlike a simple moving average that treats all price bars equally, VWAP incorporates volume data into its calculation, giving more weight to bars with higher trading volume. This makes VWAP a more accurate representation of the true average price where the most significant trading activity occurred. The calculation of VWAP is performed using the built-in 'ta.vwap()' function, which computes the cumulative volume-weighted average price from the beginning of the session. For intraday traders, VWAP serves as a critical reference point that indicates whether the current price is trading at a premium (above VWAP) or discount (below VWAP) relative to the session's volume-weighted average. In this indicator, the VWAP source is configurable through the 'vwapSource' parameter, with the default being HLC3 (High + Low + Close / 3). This source selection allows traders to experiment with different price types such as typical price, weighted close, or even custom sources to suit their trading style and market preferences. Average True Range (ATR) for Risk Management The Average True Range, calculated using 'ta.atr()', measures market volatility by decomposing the current range of price movement. ATR does not indicate price direction; instead, it quantifies the degree of price movement or volatility over a specified period. In this indicator, ATR serves dual purposes: determining the distance for limit orders and calculating stop-loss levels. The 'atrLength' parameter (default: 14) controls the lookback period for the ATR calculation. A shorter length makes the indicator more responsive to recent volatility, while a longer length provides a smoother average that may be more suitable for less volatile markets. The 'atrMultiplier' (default: 1.5) determines how many ATR units away the stop-loss is placed from the entry price, allowing traders to adjust their risk exposure based on current market conditions. Swing Detection and Support/Resistance Swing points represent significant turning points in price action where the market has temporarily exhausted its directional momentum. This indicator uses pivot high and pivot low calculations to identify swing highs and swing lows, which then form the basis for dynamic support and resistance levels. The 'swingLength' parameter (default: 5) defines how many bars to the left and right of a potential pivot point must be lower (for pivot highs) or higher (for pivot lows) to confirm the swing point. This lookback period helps filter out minor price fluctuations and focuses on more significant structural levels. Support and resistance levels are stored in arrays ('swingHighArray' and 'SwingLowArray'), with the most recent swing points serving as the primary reference levels. The 'srLookback' parameter (default: 20) controls the overall lookback window and also determines how many swing points to maintain in each array, ensuring that only relevant historical levels are considered. Breakout Detection When a price moves past a major support or resistance level, this is known as a price breakout. This price breakout suggests that there is a possibility of a new trend direction heading forward.Breakout detection eliminates noise, as little price fluctuations or volatility may momentarily drive prices past a threshold without authentic conviction.Detection of breakouts affirms robustness when the price above the threshold by 2%, indicating genuine market interest, and mitigates whipsaws to prevent placing trades based on transient price swings. The Breakout Tolerance parameter, set by default to 2%, regulates the breakout tolerance for the indicator. A price closure above the current high plus a minor tolerance buffer (usually 2%) indicates a potential continuation of upward movement, classified as a Bullish Breakout. Conversely, when the price closes below the recent low plus a minor tolerance buffer (usually 2%), it suggests that the price may continue to decline, which is classified as a Bearish Breakout Down. Trend Identification Trend determination is accomplished through an Exponential Moving Average (EMA) with a configurable length ('trendMaLength', default: 9). The indicator classifies trend into three states: BULLISH (price above EMA with confirmation from the previous bar), BEARISH (price below EMA with confirmation), and SIDEWAYS (price crossing or near the EMA). The EMA is chosen over simple moving averages because it responds more quickly to recent price changes while still providing enough smoothing to filter out noise. The confirmation requirement (both current and previous bar must be on the same side of the EMA) reduces false signals during periods of choppy price action. Momentum Analysis Momentum is measured using the Relative Strength Index (RSI) with a configurable length ('momentumLength', default: 9). RSI values are categorized into five states to provide nuanced momentum readings: STRONG BULL (RSI above 70), BUILDING (RSI between 55 and 70), NEUTRAL (RSI between 45 and 55), WEAKENING (RSI below 45), and STRONG BEAR (RSI below 30). This momentum categorization allows traders to distinguish between strong trending conditions (STRONG BULL/BEAR) and transitions (BUILDING/WEAKENING), providing context for trade signals and helping to avoid entering positions during momentum divergences. CONFIGURATION PARAMETERS VWAP Settings The 'vwapSource' parameter determines which price value is used in the VWAP calculation. The default value of 'hlc3' (High + Low + Close / 3) provides a balanced representation of each bar's price action. Traders can modify this to use typical price ('high + low + close / 3'), weighted close ('high + low + close + close / 4'), or other price types depending on their analytical preferences. ATR Settings The 'atrLength' parameter sets the lookback period for the Average True Range calculation. The default of 14 periods is standard across most trading platforms and timeframes, providing a good balance between responsiveness and smoothness. The 'atrMultiplier' parameter (default: 1.5) scales the ATR value to determine stop-loss distances. A multiplier of 1.5 means the stop-loss is placed 1.5 ATR units away from the entry price, providing enough buffer to accommodate normal volatility while limiting risk. Trade Settings The 'rrRatio' parameter (default: 3.0) establishes the reward-to-risk ratio for trade targets. A ratio of 2.0 means the profit target is twice the distance of the stop-loss from the entry price. The 'limitOrderDistance' parameter (default: 0.5) determines how far below (for long trades) or above (for short trades) the current close the limit order is placed, measured in ATR units. This allows traders to enter positions at better prices while waiting for pullbacks. Swing Detection Settings The 'swingLength' parameter (default: 5) controls pivot identification sensitivity. Higher values identify more significant swing points but may miss shorter-term opportunities. The 'showSwings' boolean parameter toggles the visual display of swing high and low points on the chart. Support & Resistance Settings The 'srLookback' parameter (default: 20) defines how many bars back to search for swing points and support/resistance levels. The 'breakoutTolerance' parameter (default: 0.02 or 2%) adds a small buffer to breakout detection to account for minor penetration of support/resistance levels due to price spikes or slippage. Trend & Momentum Settings The 'trendMaLength' parameter (default: 9) sets the EMA length for trend determination, while 'momentumLength' (default: 9) sets the RSI lookback period. Both should be at least 5 periods for meaningful calculations. Table Settings The 'showTable' parameter (default: true) enables the display of two information tables that provide real-time data on Indicator values and trade levels. SIGNAL GENERATION LOGIC Long Signal Conditions A long signal is generated when all the following conditions are simultaneously true: 1. Session Filter: The trade must occur during New York session hours (9:30 AM - 4:00 PM ET). 2. Trend Confirmation: The trend must be BULLISH (price above EMA with confirmation). 3. Price Position: Current price must be above VWAP, indicating bullish price action. 4. Breakout or No Resistance: Either price is breaking out above resistance level with tolerance, or there is no prior resistance level to overcome. 5. Momentum Alignment: Momentum must be either STRONG BULL or BUILDING. This confluence of conditions ensures that long trades are only taken when the market is trending higher, price is confirming strength by trading above VWAP, and momentum is supportive of continued upward movement. Short Signal Conditions A short signal is generated when all the following conditions are simultaneously true: 1. Session Filter: The trade must occur during New York session hours 2. Trend Confirmation: The trend must be BEARISH (price below EMA with confirmation) 3. Price Position: Current price must be below VWAP, indicating bearish price action 4. Breakout or No Support: Either price is breaking down below support level with tolerance, or there is no prior support level to overcome 5. Momentum Alignment: Momentum must be either STRONG BEAR or WEAKENING Similar to long signals, short trades require alignment across multiple timeframes and analytical approaches, filtering out counter-trend trades and focusing on high-probability setups. TRADE MANAGEMENT FRAMEWORK Entry Price Calculation For long trades, the limit order price is calculated as: 'Close - (ATR Value × Limit Order Distance)'. This places the entry price below the current close, allowing traders to buy on dips while maintaining a favorable entry price. For short trades, the limit order is placed above the current close: 'Close + (ATR Value × Limit Order Distance)'. The limit order distance is expressed in ATR units, making it adaptive to current volatility conditions. In more volatile markets, the limit order will be placed further from the current price, while in calmer markets, it will be closer. Stop-Loss Placement Stop-loss levels are calculated using the ATR multiplier to ensure adaptive risk management. For long trades: 'Entry Price - (ATR Value × ATR Multiplier)'. For short trades: 'Entry Price + (ATR Value × ATR Multiplier)'. This adaptive approach to stop-loss placement means that in volatile markets, stops are wider to avoid being stopped out by normal price fluctuations, while in quieter markets, stops are tighter to limit potential losses. The default multiplier of 1.5 provides approximately 1.5 times the average true range of protection. Target Price Calculation Profit targets are determined by the reward-to-risk ratio: 'Entry Price + (ATR Stop Distance × RR Ratio)' for long trades and 'Entry Price - (ATR Stop Distance × RR Ratio)' for short trades. The default ratio of 2.0 means the target is twice the distance of the stop-loss, providing a favorable risk-reward profile. New York Session Tracking The indicator includes specialized logic for tracking the New York session open price. When a new NY session begins (determined by the 'isNewNySession' variable), the current open price is recorded and maintained throughout the session. This provides a reference point for measuring intraday directional bias from the session's starting level. INFORMATION TABLES Indicators Table This table displays the current price, VWAP value, NY session open price, support level,resistance level, ATR, ATR-scaled stop distance, current trend classification, momentum state with RSI value, and breakout status. All values are color-coded based on their bullish or bearish implications. The VWAP cell is color-coded green if price is above VWAP (bullish) and red if below (bearish), providing instant visual confirmation of price's position relative to this critical level. Trade Levels Table This table shows current signal status (LONG, SHORT, or WAIT), limit order distance in ATR units, calculated limit order price, stop-loss level, and target price with the reward-to-risk ratio displayed. The signal cell is highlighted in green for long signals and red for short signals. ALERT CONDITIONS The indicator includes four alert conditions that can be configured in TradingView: 1. LONG Signal: Triggers when a long signal is generated, providing entry price, stop-loss, and target information. 2. SHORT Signal: Triggers when a short signal is generated with corresponding trade details. 3. Breakout Up: Notifies when price breaks out above resistance level. 4. Breakout Down: Notifies when price breaks down below support level. These alerts enable traders to receive notifications via TradingView's alert system without continuously monitoring the charts. USAGE EXAMPLES AND TRADING SCENARIOS Strong Bullish Trend with VWAP Support In this scenario, price has been trading above the 9-period EMA for multiple bars, confirming a bullish trend. The current price is above VWAP, indicating buyers are willing to pay a premium. A recent swing low has established a support level, and RSI is reading 65, indicating building momentum without being overextended. When price breaks above the recent swing high resistance with a 2% tolerance, the indicator generates a long signal. The trader places a limit order below the current bar's close (0.5 ATR units) and sets the stop-loss 1.5 ATR units below the entry, with a target 2.0 times the stop distance away. Short Setup During Volatile Session During a particularly volatile NY session, price gaps down below VWAP early in the day. The 9-period EMA is declining, and both current and previous bars are below it, confirming a bearish trend. The RSI has dropped to 28, indicating strong bearish momentum. A recent swing high serves as resistance, and when price breaks below the swing low support level, the indicator generates a short signal. The trader enters on a limit order placed 0.5 ATR units above the current price, with the stop-loss 1.5 ATR units above the entry and the target at a 2.0 reward-to-risk ratio. Avoiding Counter-Trend Trades Consider a scenario where price is above VWAP and the RSI reads 72 (overbought), but the price is below the 9-period EMA and the previous bar was also below the EMA. In this case, the trend is classified as BEARISH (or SIDEWAYS) despite the bullish price position relative to VWAP. The indicator will not generate a long signal because the trend condition is not met, protecting the trader from what could be a bear trap or continuation pattern. No Prior Levels Scenario At the beginning of a trading session or after significant volatility has cleared prior swing points, there may be no established support or resistance levels in the lookback window. In this case, the breakout condition 'or na(resistanceLevel)' allows long signals to be generated without requiring a resistance level to be broken, enabling traders to participate in emerging trends without waiting for prior levels to form. BEST PRACTICES AND TIPS Timeframe Selection This indicator is optimized for intraday timeframes (1-minute to 60-minute charts) and specifically for NY session trading. Higher timeframes may produce more reliable signals but fewer opportunities, while lower timeframes will generate more signals but with potentially lower reliability. Traders should backtest on their preferred timeframe before trading live. Market Conditions The indicator performs best in trending markets with clear directional bias. During ranging or sideways markets, the trend condition may oscillate frequently, and VWAP may oscillate around price, reducing signal quality. Consider filtering signals or reducing position size during low-volatility, range-bound conditions. Parameter Optimization While the default parameters have been selected for general applicability, traders should consider optimizing certain parameters for specific markets or instruments. For highly volatile instruments like crude oil or natural gas, increasing the 'atrMultiplier' to 2.0 or 2.5 may provide more appropriate risk management. For less volatile instruments like certain forex pairs, reducing the multiplier to 1.0 or 1.2 may improve signal quality. Multiple Timeframe Analysis For enhanced performance, traders can analyze the trend on a higher timeframe (such as 15-minute or hourly) while taking signals on a lower timeframe (such as 5-minute or 1-minute). This multi-timeframe approach ensures that signals are aligned with the larger trend direction. Risk Management While the indicator provides calculated stop-loss levels, traders should consider their overall position sizing and portfolio risk. The ATR-based stops provide a market-adaptive approach, but individual risk tolerance and account size should ultimately determine position sizing. The 2.0 reward-to-risk ratio is fixed but can be adjusted based on personal preferences or the specific characteristics of the instrument being traded. INTEGRATION WITH TRADINGVIEW Adding the Indicator To add this indicator to a TradingView chart, paste the code into the Pine Script editor and click "Add to Chart." The indicator will appear in the chart's sidebar and begin calculating immediately once sufficient historical data is available. Configuring Alerts To set up alerts, right-click on any of the alert conditions in the indicator's settings panel (long signal, short signal, breakout up, or breakout down) and select "Add Alert." Configure the alert frequency and notification methods (push notification, email, webhook, etc.) according to your preferences. Customization All input parameters can be adjusted through the indicator's settings panel without modifying the source code. Traders can experiment with different VWAP sources, ATR lengths and multipliers, swing detection parameters, and table display options to suit their trading style and market preferences. LIMITATIONS AND CONSIDERATIONS Session Dependency The indicator is specifically designed for NY session trading and will not generate signals outside these hours. Traders focused on other sessions or 24-hour markets may need to modify the session string to match their trading hours. Historical Data Requirements The indicator requires sufficient historical data to accurately calculate swing points and support/resistance levels. On lower timeframe charts with limited history, the initial signals may be less reliable until adequate swing points are identified. Lag in Swing Detection By definition, swing points are confirmed after the price has moved away from them, introducing some lag into support/resistance identification. Traders should be aware that the most recent swing point may not be confirmed until several bars after it occurs. Not Financial Advice This indicator is a technical analysis tool and should not be construed as financial advice. Traders are responsible for their own research and risk management decisions. Past performance of any trading system does not guarantee future results. SUMMARY The code follows a logical flow: • Version and Declaration: Pine Script version 6 indicator declaration with overlay enabled • Input Parameters: All user-configurable settings grouped by category • Session Logic: New York session tracking and open price recording • Core Calculations: VWAP, ATR, EMA, RSI, swing points • Support/Resistance Logic: Array-based storage and retrieval of swing levels • Trend and Momentum Classification: Categorization of current market state • Signal Generation: Confluence-based long and short conditions • Trade Level Calculations: Entry, stop-loss, and target pricing • Visual Plots: Hidden plots for alert data access • Information Tables: Real-time display of key values • Alert Conditions: Four configurable alert triggers This structured approach ensures clarity, maintainability, and extensibility for future modifications or enhancements.
Indicateur Pine Script®
par srd786
Candle Countdown TimerCandle Countdown Timer - Real-Time Bar Close Indicator Stay ahead of the market with this elegant countdown timer that shows exactly how much time remains until the current candle closes. Perfect for scalpers, day traders, and anyone who needs precise timing for their trading decisions. ✨ Key Features: Universal Timeframe Support - Automatically adapts to any chart timeframe (1m, 5m, 15m, 1h, 4h, 1D, etc.) Smart Positioning - Choose between two display modes: Candle High/Low: Displays above bullish candles, below bearish candles Current Price: Shows at the closing price level for easy reference Color-Coded Display - Timer automatically matches your chart's candle colors (green for bullish, red for bearish) for instant visual clarity Fully Customizable - Adjust font size (8-50), opacity (0-100), and placement to match your trading style and chart setup Clean, Non-Intrusive Design - Minimal interface that provides critical information without cluttering your chart 📊 Perfect For : Timing precise entries and exits Scalping strategies requiring exact candle close timing Multi-timeframe analysis Managing time-sensitive trade setups Avoiding last-second candle close surprises 🎯 How to Use : Simply add the indicator to your chart and customize the settings to your preference. The countdown automatically updates in real-time, showing hours, minutes, and seconds remaining until the current bar closes. ⚙️ Settings: Font Size: Numeric input (8-50) for precise size control Text Opacity: Control visibility from 0 (solid) to 100 (invisible) Placement: Choose "Candle High/Low" or "Current Price" positioning 💡 Pro Tip: Use the "Current Price" placement mode when trading on multiple timeframes to keep the countdown at a consistent price level, making it easier to track across different chart configurations.
Indicateur Pine Script®
par mbayari
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version 1. Overview The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” around key levels from the previous trading day. Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks) Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts Trading Style: “Hunter” style — trades may not happen every day, but setups are high-probability Trade Frequency: Only first trade per day is taken for simplicity and high quality 2. Key Components a) Daily Levels Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior day’s bar. These are drawn as anchored horizontal lines, extending to the current day. PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped. b) Trap Concept The strategy is based on the “liquidity trap” principle: Buyer Trap (Short Entry): Price breaks above the previous day high (PDH) → buyers think price will continue higher. Price reverses immediately below PDH, trapping aggressive buyers above the key level. This creates selling pressure, giving an opportunity to enter short. Seller Trap (Long Entry): Price breaks below the previous day low (PDL) → sellers think price will continue lower. Price reverses immediately above PDL, trapping aggressive sellers below the key level. This creates buying pressure, giving an opportunity to enter long. The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves. c) Trade Execution Logic Buyer Trap / Short Entry: Condition: high > PDH AND close < PDH AND no trade taken yet today Entry: Short at the close of the trap candle Stop Loss: ATR-based above the trap candle high to avoid minor wick stops Take Profit: 2:1 Risk-to-Reward ratio Seller Trap / Long Entry: Condition: low < PDL AND close > PDL AND no trade taken yet today Entry: Long at the close of the trap candle Stop Loss: ATR-based below the trap candle low Take Profit: 2:1 Risk-to-Reward ratio Only the first trap trade of the day is allowed to avoid overtrading. d) Risk Management Stop-Loss (SL): ATR-based to account for market volatility Ensures the trade survives minor wick sweeps without being stopped out prematurely Take-Profit (TP): Fixed 2:1 R:R relative to SL Ensures each winning trade outweighs potential losses Trade Frequency: Only first trade per day is allowed, making it highly selective and reducing noise 3. Visual Features PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded: PDH → Green PDL → Red Trade Labels: Placed on the trap candle: Short → Red label “Short” Long → Green label “Long” The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered. 4. How the Strategy Works – Step by Step Example for Short (Buyer Trap): Market opens, PDH/PDL from yesterday are drawn. Price spikes above PDH → some buyers enter expecting breakout continuation. Price immediately closes back below PDH, trapping buyers. The strategy enters short at the close of the reversal candle. SL: placed above the trap candle using ATR to give room TP: calculated as 2x the risk (distance from entry to SL) Trade executes — first trade of the day. Any further trap signals today are ignored. Example for Long (Seller Trap): Price drops below PDL → some sellers enter. Price immediately closes back above PDL, trapping sellers. Strategy enters long at the close of the reversal candle. SL: below trap candle using ATR TP: 2:1 R:R Trade executes — only first trade of the day. 5. Why This Strategy Works Exploits liquidity zones: Markets often hunt stops above PDH or below PDL. High-probability reversals: Trapped traders create strong counter moves. ATR SL: avoids being stopped by minor market noise or wick spikes. Selective trading: Only first trade per day → reduces overtrading and noise. Clear visual markers: Makes manual observation and confirmation easy. 6. Key Tips for Traders Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity. Works well on 15m and 1H charts — 15m allows quicker signals, 1H filters noise. Avoid trading around major news releases — traps can behave differently during high volatility events. Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move. ✅ Summary: The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows. It uses ATR-adapted stops and 2:1 R:R TP. Only first trade per day is executed, reducing false signals. Anchored PDH/PDL lines and labels make trade opportunities clear. This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
Stratégie Pine Script®
par Danish7421
MRG Session High/LowMRG Session High/Low - Indicator Description 📊 Overview This Pine Script indicator automatically displays key levels from Asian and London trading sessions on your TradingView chart. It plots the high and low points of each completed session, allowing you to quickly identify important support and resistance zones for your trades. 🎯 Key Features Detected Sessions (New York Timezone) Asian Session: 18:00 - 03:00 (6pm - 3am) London Session: 03:00 - 09:00 (3am - 9.30am) Plotted Levels Session High: The highest point reached during the session Session Low: The lowest point reached during the session Start Lines: Vertical dashed lines marking the beginning of each session (optional) ⚙️ Customizable Settings Display Options ✅ Show/hide Asian Session ✅ Show/hide London Session ✅ Show/hide session start lines Style Options 🎨 Asian Color: Orange by default 🎨 London Color: Blue by default 🎨 Start lines color: Red by default 📏 Line thickness: Adjustable from 1 to 5 🔍 How It Works Automatic Detection: The indicator automatically detects when a new session begins Level Calculation: During each session, it continuously records highs and lows Line Plotting: At the end of each session, it draws two horizontal lines: One line at the session high level One line at the session low level Extension: Lines extend to the right for easy future identification 📈 Strategic Usage For Breakout Trading Trade breakouts of Asian and London session highs/lows Breakouts from these levels often signal the beginning of significant moves For Support and Resistance Use these levels as key support and resistance zones Prices often come back to test these levels during the New York session For Multi-Timeframe Analysis Identify consolidation during Asian/London sessions Anticipate volatility at New York open 💡 Advantages ✨ Clear and automatic visualization of session levels ⏱️ Time-saving: no need to manually draw levels 🎯 Precise levels based on actual highs/lows of each session 🔄 Automatically updates daily 📱 Compatible with all timeframes (recommended: M5, M15, H1) 🎓 Ideal For Forex traders (especially XAUUSD, EUR/USD, GBP/USD) Scalpers and day traders Session breakout strategies Trading around New York open Liquidity zone analysis 📌 Important Note The indicator uses New York timezone (America/New_York) to ensure session time accuracy, regardless of your local timezone.
Indicateur Pine Script®
par marmugi
SMA Reversal Sequential MTF - FinalSMA Reversal Sequential MTF - Final Edition Here is the direct English translation of the description, maintaining the professional and factual tone without excessive ornamentation. SMA Reversal Sequential MTF - Final Edition 1. Overview This script is the final edition of "SMA Reversal Sequential MTF," featuring a proprietary logic that identifies market pivot points based on the structural changes of Simple Moving Averages (SMA). It integrates multi-timeframe (MTF) analysis covering from 1-minute to monthly scales, visualizing trend status, synchronization, and consolidations (squeezes) directly on the chart. 2. Core Logic SMA Reversal Logic: Identifies points where the SMA shifts in a "V-shape" or "Inverted V-shape" based on the positional relationship of the three most recent MA points. The algorithm maintains strictly precise calculations consistent since the initial version. Breakout Detection: Displays a "BREAK" label when the price closes beyond the most recent high or low established by a pivot point. Multi-Timeframe (MTF): Projects signals from higher timeframes (e.g., 1D, 4H, 1H) onto the current chart. 3. Input Settings The settings menu is configured with bilingual labels (Japanese and English). ■ Main Settings Use Short Period Settings (5, 3, 7) OFF (Default): SMA 20, Offset 6, Lookback 20 ON: SMA 5, Offset 3, Lookback 7 ■ Timeframe Visibility Show Timeframes (1M to 1m) Individually toggle the visibility of each timeframe. The settings are organized in descending order from higher to lower timeframes. Hide Lower Timeframes When ON, automatically hides signals from timeframes lower than the one currently displayed on the chart. ■ Drawing Options Show Only Current TF Labels Hides MTF labels and displays only the pivot points corresponding to the current chart timeframe. Show Trendlines & Channels Automatically plots lines connecting recent highs/lows and their parallel channels for the current timeframe. Show Sequential Labels Displays labels (e.g., 1H) at SMA reversal points to indicate the source timeframe. Show Break Lines Displays horizontal lines at un-breached highs/lows along with breakout labels. ■ Additional Alert Settings Alert 1: 3-TF Sync Triggers when the current timeframe and the two immediate higher timeframes align in the same trend direction. Alert 2: 4-TF Sync Triggers when four timeframes synchronize in the same trend direction. Alert 3: Squeeze (Green ●) Detects "Triangle Squeezes" (lower highs and higher lows) and displays a "●" on the chart with a notification. 4. Dashboard The dashboard in the top-right corner displays the real-time trend status of five major timeframes (1D, 4H, 1H, 15M, 5M). Blue: Bullish (Price has broken the recent high) Red: Bearish (Price has broken the recent low) Gray: Neutral 5. Trading Application Market Context: Identify directional bias when dashboard colors align. Entry Alignment: Utilize "Sync Alerts" on lower timeframes as signals when they align with the higher timeframe trend. Volatility Contraction: The appearance of a green "●" (Squeeze) indicates energy consolidation, suggesting a potential breakout. SMA Reversal Sequential MTF - Final Edition 1. 概要 (Overview) 本スクリプトは、SMA（単純移動平均線）の形状変化から相場の転換点（ピボット）を特定する独自ロジックを用いた「SMA Reversal Sequential MTF」の最終盤です。1分足から月足までを網羅するマルチタイムフレーム（MTF）分析を統合しており、上位足のトレンド状態、同期、三角保合い（スクイーズ）をチャート上に可視化します。 2. ロジック解説 (Core Logic) SMA Reversal Logic: 指定期間のSMAが「V字」または「逆V字」に転換したポイントを、直近のMA3点の位置関係から算出します。アルゴリズムは初版から変わらぬ厳密な計算を維持しています。 Breakout Detection: 転換点で作られた直近の高値・安値を終値でブレイクした際に「BREAK」ラベルを表示します。 Multi-Timeframe (MTF): 現在のチャート上に上位足（1D, 4H, 1H等）のシグナルを投影します。 3. インプット項目の詳細 (Input Settings) 設定画面は、日本語と英語の併記構成となっています。 ■ 基本設定 / Main Settings 短期設定を使用 (5, 3, 7) / Use Short Period Settings OFF (デフォルト)：SMA 20, Offset 6, Lookback 20 ON：SMA 5, Offset 3, Lookback 7 ■ 時間足表示設定 / Timeframe Visibility 1M表示 ～ 1m表示 / Show Timeframes 各時間足の表示を個別に切り替えます。設定画面では大きな足から順に並んでいます。 現在足より短い時間足の設定を非表示 / Hide Lower Timeframes ONにすると、現在表示しているチャートより短い時間足のシグナルを自動で非表示にします。 ■ 表示オプション / Drawing Options 現在足のラベルのみ表示 / Show Only Current TF Labels 現在の時間足の転換点のみを表示し、MTFラベルを非表示にします。 トレンドライン＆チャネルを表示 / Show Trendlines & Channels 現在足の安値同士・高値同士を結んだラインと、平行チャネルを自動描画します。 転換点ラベル表示 / Show Sequential Labels SMAの反転箇所に、該当する時間足のラベル（例：1H）を表示します。 ブレイクライン表示 / Show Break Lines 未更新の高値・安値ラインと、ブレイク時のラベルを表示します。 ■ 追加アラート設定 / Additional Alert Settings アラート1: 現在・上位2つ同調 / Alert 1: 3-TF Sync 現在足＋上位2つの時間足のトレンドが同一方向になった際に通知します。 アラート2: 表示足を含む4足同調 / Alert 2: 4-TF Sync 4つの時間足のトレンドが同期した際に通知します。 アラート3: 三角保合い発生 (緑●) / Alert 3: Squeeze 高値切り下がり、安値切り上がりの「三角保合い」形成を検知し、チャート上に「●」を表示・通知します。 4. ダッシュボード (Dashboard) チャート右上に主要5足（1D, 4H, 1H, 15M, 5M）のトレンド状況をリアルタイム表示します。 青色（Blue）： 強気（直近高値をブレイク中） 赤色（Red）： 弱気（直近安値をブレイク中） 灰色（Gray）： ニュートラル 5. トレードへの活用 環境認識: ダッシュボードの色が揃っている方向への優位性を確認します。 エントリー判断: 上位足のトレンド方向に、下位足で同期アラートが発生したポイントをシグナルとして活用します。 ボラティリティの収束: 緑の「●（Squeeze）」が表示された際は、エネルギーが収束している状態を示唆します。
Indicateur Pine Script®
par hmp5below
Hash Ember StackOverview Hash Ember Stack is a multi-period momentum visualizer that displays a structured view of market pressure across ten different lookback windows. It is designed to help operators assess how momentum behaves across short-term, intermediate, and long-term horizons using a unified ribbon-stack format. The tool does not generate trading entries by itself; instead, it organizes momentum data so traders can better understand how multiple timeframes align or diverge. Conceptual Framework The indicator calculates momentum using one of three oscillator families: RSI – measures velocity and magnitude of price movement Stochastic – compares close relative to recent range CCI – measures deviation from the average price Each oscillator is normalized into a comparable 0–100 scale so all periods can share the same heatmap color logic. This creates a consistent visual framework regardless of which momentum type is selected. The ten lookback periods range from very short (fast response) to very long (structural regime). Displaying them together helps illustrate momentum compression, expansion, clustering, or divergence across timeframes. Ribbon Structure & Visual System Each period is represented as a horizontal band (“ribbon”) with: A fixed vertical height for readability A heat-mapped color derived from momentum value Optional spacing between ribbons to improve separation The color system transitions from green (momentum weakness), through neutral tones, into red (momentum strength). These colors do not predict price direction; they simply map oscillator values into a standardized visual gradient. Labels may be shown on the right side to indicate each ribbon’s lookback period. Extreme Condition Detection (Optional) The indicator can highlight situations where several momentum periods reach extreme conditions at the same time. Oversold status is defined by user-selected thresholds Overbought status uses an upper threshold A fluorescent cross is plotted when a minimum number of ribbons meet these definitions These markers do not produce trading signals; they are intended only to highlight statistically uncommon clustering of extreme momentum readings. Inputs & Controls Momentum Type – Selects which oscillator family is used Smoothing – Applies an SMA to reduce noise Ten customizable lookback periods – Short to macro momentum Ribbon Height & Gap – Adjusts layout density Period Labels – Enables lookback annotations Extreme Signal Settings – Thresholds and minimum ribbon count Signal Position – Above or below the ribbon stack Intended Use Hash Ember Stack is suitable for: Identifying how different time horizons align Visualizing periods of momentum compression and expansion Contextualizing reversals or trend continuation environments Supporting discretionary or systematic analysis workflows The indicator is not a strategy and does not perform backtesting or place trades. It provides structured momentum context that operators can integrate into their own decision-making frameworks.
Indicateur Pine Script®
par Hash_Capital
SIV Trading LightSmartInVisions Trading Light (SIV Trading Light) is an open-source, multi-factor market regime and trade bias indicator developed by SmartInVisions GmbH. The indicator combines: - trend structure (fast/slow MAs + slope) - momentum (RSI) - choppiness (ADX) - volatility risk (ATR%) - volume participation - optional higher-timeframe market regime filtering into a single, easy-to-interpret LONG / NEUTRAL / SHORT bias score. Built-in Presets - Day-Trading (USA / Europe) - Swing-Trading (USA / Europe) - Investing (USA / Europe) - Custom mode for advanced experimentation Key Features Multi-timeframe regime filter Two MA overlays (Fast / Slow) with independent EMA / SMA selection Clear on-chart badge and optional detailed breakdown table Alert-ready score output Usage Notes For stable alerts, use “Once per bar close” Presets override effective weights and thresholds; timeframes and MA settings remain manual Credits - Publisher: SmartInVisions GmbH - Concept & design: Reiner Ernst (Founder & Managing Director, SmartInVisions GmbH) - Implementation & iterative development: SmartInVisions GmbH + ChatGPT (OpenAI) License Mozilla Public License 2.0 (MPL-2.0) This indicator is provided for research and educational purposes only. No financial advice. Use at your own risk.
Indicateur Pine Script®
par richie_ryna
Anchored PVI + NVIAnchored PVI + NVI is a single-pane indicator that allows the Positive Volume Index (PVI) and Negative Volume Index (NVI) to be plotted together using a period-anchored approach. Crucially, the EMAs for each series are included and remain analytically valid under the anchoring process. PVI and NVI are cumulative, path dependent indicators. Over long histories, their absolute values become arbitrary and often incomparable when plotted side-by-side . This script addresses that limitation by anchoring each indicator to a user-defined period (daily, weekly, monthly, etc.) and plotting their relative change from that baseline rather than their raw values. The result is a clean, comparable view that preserves each indicator’s internal structure (trends, inflections, divergences, and EMA relationships) while minimizing scale conflicts. **What Are PVI and NVI? (Quick Explanation)** PVI and NVI separate price behavior based on changes in participation, not raw volume flow. - Positive Volume Index (PVI) updates only on bars where volume increases relative to the prior bar. It tracks price movement during expanding participation, often associated with broad market involvement. - Negative Volume Index (NVI) updates only on bars where volume decreases relative to the prior bar. It tracks price movement during contracting participation, often associated with quieter or more selective activity. Both indicators accumulate percentage price changes, but only under their respective volume conditions. Rather than asking “Is volume high or low?” , they ask: "How does price behave when participation expands versus when it contracts?" More detailed guidance and interpretation can be found further down the publication description for users unfamiliar with the practical uses of PVI and NVI. **How The Script Works** At the start of each selected anchor period, the script records the current PVI and NVI values as baselines. All subsequent values within that period are plotted as changes relative to those baselines: - Percent mode plots the percentage change from the baseline. - Absolute mode plots the absolute change from the baseline. This is not normalization or rescaling. The time-based shape of each series is preserved within the anchor window. The EMAs are calculated on the original, full-history PVI and NVI series, then transformed using the same anchored reference frame. This faithfully preserves relative positioning between each index and its EMA, EMA slope behavior, and EMA crossover timing. Optional anchor markers and a zero line help visualize resets and behavior relative to the period’s starting point. **Advantages vs Using PVI and NVI Separately** - Faster visual assessment: Participation-conditioned price behavior can be evaluated at a glance without mentally reconciling separate scales or panes. - Potential for Extended Interpretation: A shared baseline introduces a form of relative comparability that does not exist when the indicators are plotted independently. - Cleaner workflow: One indicator, one pane, and less chart clutter. **Conventional Interpretation and Guidance** Anchored PVI and NVI should be interpreted relative to the zero line, their own EMAs, and each other, always within the context of the current anchor period - NOT across periods. Values above zero indicate net positive price movement since the anchor began under the indicator’s respective volume condition. Values below zero indicate net negative movement. Because PVI and NVI update under different participation regimes, their behavior provides complementary context rather than redundant confirmation. When PVI is rising, price progress within the period is occurring primarily during higher-participation sessions. This suggests that movement is being supported by expanding activity. Weakness or flattening in PVI indicates that price is losing traction during high-volume conditions. When NVI is rising, price persistence is occurring during quieter sessions as participation contracts. This often reflects continuation or structural stability that does not rely on broad engagement. Weakness in NVI indicates that price struggles to hold together as activity declines. Comparing the two provides insight into participation balance. - Both rising: broad support across participation regimes - PVI rising while NVI lags: movement concentrated in higher-participation sessions - NVI rising while PVI lags: price persistence despite reduced participation Each index is most commonly interpreted relative to its own 255-period EMA. Holding above the EMA suggests strengthening behavior within that participation regime, while sustained movement below the EMA indicates weakening momentum or transition. NVI in particular is often interpreted such that above-EMA behavior is supportive and below-EMA behavior is cautionary. Divergence between price and PVI or NVI can highlight changes in participation dynamics that may not yet be reflected in price alone. Divergence between PVI and NVI themselves highlights shifts in how price behaves under expanding versus contracting participation. These relationships are best used as contextual confirmation rather than as standalone trading signals. **Extended Interpretation (Exploratory)** This section is exploratory and should not be interpreted as conventional or widely-accepted guidance. Anchoring PVI and NVI to a shared baseline introduces a form of relative comparability that does not exist when the indicators are plotted independently. Within a single anchor period, both PVI and NVI are now expressed as relative change from a common reference point. This makes it possible to observe how the two series interact directly in time. Index Crossovers (PVI vs. NVI) Crossovers between anchored PVI and anchored NVI may be interpreted as shifts in dominance between participation regimes within the anchor period. - PVI crossing above NVI suggests that price progress under expanding participation has overtaken progress under contracting participation since the anchor began. - NVI crossing above PVI suggests that price persistence during quieter participation has become the dominant contributor within the period. EMA-to-EMA Structure (PVI EMA vs. NVI EMA) EMA-to-EMA relationships can further highlight smoother, regime-level tendencies in participation balance. When one EMA persistently leads the other after sufficient post-anchor price action has accumulated, it reflects a sustained bias toward that participation regime within the anchor window. Similarly, EMA crossovers that develop after sufficient post-anchor data may imply a transition in participation balance rather than a reset artifact. Important Context and Limitations of Extended Interpretation This form of interpretation is only valid within a single anchor period. Because each anchor resets the baseline, no continuity or meaning should be inferred across different periods. These interactions should be treated as descriptive of participation balance, not as standalone trade signals. Their value lies in clarifying how price movement is being carried within a defined window, not in predicting future direction. **Combined Practical Use** Altogether, this indicator allows participation dynamics to be evaluated at three levels: 1) Instantaneous behavior via the anchored PVI and NVI themselves 2) Structural persistence via each index relative to its own EMA 3) Regime balance via the relative positioning of PVI, NVI, and their EMAs **Warnings!** - Percent mode can become visually unstable when baseline PVI or NVI values are near zero due to division effects inherent in percent-change calculations. **Other Similar Indicators** My Anchored OBV + A/D script applies the same anchored-period framework to other volume-based indicators. **Credits** This script is inspired by Multi-Ticker Anchored Candles (MTAC) by @SamRecio . MTAC's anchored-baseline concept and open-source nature provided an important conceptual foundation for adapting the same idea to PVI and NVI.
Indicateur Pine Script®
par Zeallot
MAGIC TRADER RANGE BOX 2.0//@version=6 indicator("MAGIC TRADER RANGE BOX 2.0", overlay=false // ===== PARAMÈTRES ===== rangeLen = input.int(20, "Longueur Range H1", minval=5) atrLen = input.int(14, "ATR H1") atrFactor = input.float(1.0, "Facteur ATR", step=0.1) maLen = input.int(20, "MA H1") slopeLimit = input.float(0.05, "Tolérance direction", step=0.01) // 🎨 STYLE BOÎTE boxColor = input.color(color.gray, "Couleur de la boîte") opacity = input.int(85, "Opacité (0-100)", minval=0, maxval=100) borderColor = input.color(color.gray, "Couleur du contour") // ===== DONNÉES H1 ===== = request.security( syminfo.tickerid, "60", ) h1HH = request.security(syminfo.tickerid, "60", ta.highest(high, rangeLen)) h1LL = request.security(syminfo.tickerid, "60", ta.lowest(low, rangeLen)) h1ATR = request.security(syminfo.tickerid, "60", ta.atr(atrLen)) h1MA = request.security(syminfo.tickerid, "60", ta.sma(close, maLen)) h1Slope = math.abs(h1MA - h1MA ) // ===== CONDITIONS RANGE H1 ===== lowVol = (h1HH - h1LL) < h1ATR * atrFactor noDir = h1Slope < slopeLimit isH1Range = lowVol and noDir // ===== BOÎTE ===== var box h1Box = na if isH1Range and na(h1Box) h1Box := box.new( left = bar_index, right = bar_index, top = h1HH, bottom = h1LL, bgcolor = color.new(boxColor, opacity), border_color = borderColor ) if isH1Range and not na(h1Box) box.set_right(h1Box, bar_index) box.set_top(h1Box, h1HH) box.set_bottom(h1Box, h1LL) if not isH1Range and not na(h1Box) h1Box := na // ===== ALERTES ===== alertcondition(isH1Range, title="Range H1 détecté", message="📦 RANGE H1 détecté sur {{ticker}}") alertcondition(close > h1HH, title="Breakout H1 Haussier", message="🚀 Breakout HAUSSIER du range H1 sur {{ticker}}") alertcondition(close < h1LL, title="Breakout H1 Baissier", message="🔻 Breakout BAISSIER du range H1 sur {{ticker}}")
Indicateur Pine Script®
par Quantomfx