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SPY → ES 11 Levels with Labels📌 Description for SPY → ES 11-Level Converter (with Labels) This script converts important SPY options-based levels into their equivalent ES futures prices and plots them directly on the ES chart. Because SPY trades at a different price scale than ES, each SPY level is multiplied by a customizable ES/SPY ratio to project accurate ES levels. It is designed for traders who use SpotGamma, GEXBot, MenthorQ, Vol-trigger levels, or their own gamma/oi/volume models. 🔍 Features ✅ Converts SPY → ES using custom or automatic ratio Option to manually enter a ratio (recommended for accuracy) Or automatically compute ES/SPY from live prices ✅ Plots 11 major levels on the ES chart Each level can be individually turned ON/OFF: Call Wall Put Wall Volume Trigger Spot Price +Gamma Level –Gamma Level Zero Gamma Positive OI Negative OI Positive Volume Negative Volume All levels are drawn as clean horizontal lines using the converted ES value.
Индикатор Pine Script®
от CarolClays
Crypto Signals & Overlays –29-11-2025Nebula Crypto Signals & Overlays Nebula is a multi-timeframe trend and momentum indicator designed for high-cap crypto pairs (BTC, ETH, SOL, DOGE, etc.). • Uses 21/50/200 EMAs + higher-timeframe EMA for trend filtering • RSI and Bollinger Bands for momentum and squeeze detection • Generates BUY/SELL labels on trend-side pullbacks • ATR line as a dynamic stop/target guide, plus pivot-based support/resistance zones • Background colors: green = bullish regime, red = bearish regime, yellow = low-volatility squeeze Not financial advice. Always backtest and use proper risk management before trading live.
Индикатор Pine Script®
от kamransheikh70670
🚀 Hull Squeeze + Money Flow Trinity - Ultimate Breakout Hunter🚀 Hull Squeeze + Money Flow Trinity - Ultimate Breakout HunterThis is a high-octane, multi-factor breakout hunter designed to capture explosive moves by identifying the rare confluence of extreme price compression, aligned trend, and confirmation from institutional money flow. It combines three best-in-class market analysis tools into a single, comprehensive signaling system.The indicator is engineered to filter out noisy, low-probability setups, focusing instead on high-conviction events like "MEGA SQUEEZE FIRE" and the elusive "GOD MODE SETUP".How the Trinity Works:📊 Hull Ribbon & Compression: Uses a ribbon of Hull Moving Averages (HMAs) to filter the underlying trend and, crucially, measure the compression of volatility relative to ATR. When the ribbon is highly compressed, it signals the market is coiled and ready for a major move—a Pre-Squeeze warning.💥 Squeeze Detection: Implements the classic Bollinger Band (BB) / Keltner Channel (KC) Squeeze logic to pinpoint the exact moment volatility is drained (Squeeze ON) and the moment the resulting energy is released (Squeeze FIRE).💰 Money Flow Trinity: Confirms the quality of the move by aggregating three volume-based indicators—Force Index, Chaikin Money Flow (CMF), and Accumulation/Distribution (A/D) Line. This generates a Money Flow Score ($\le 3$) that validates the directional pressure, ensuring the breakout is backed by genuine buying or selling.The Ultimate Edge:The indicator plots actionable signals directly on the chart and provides a real-time Dashboard displaying the status of each component and the final Signal Status. Use it to spot low-risk, high-reward opportunities on your favorite instruments.
Индикатор Pine Script®
от Timmy741
ES-VIX Daily Price Bands - Inner bands (80% and 50%)ES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Low + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily High - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's extremes. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's low Lower band (red) contracts from the current day's high Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Shaded zone between bands for visual clarity Information table displaying: Current ES price and VIX level Running daily high and low Current upper and lower band values
Индикатор Pine Script®
от alanjeremiebarbe
ES-VIX Expected Daily MoveThis indicator calculates the expected daily price movement for ES futures based on current volatility levels as measured by the VIX (CBOE Volatility Index). Formula: Expected Daily Move = (ES Price × VIX Price) / √252 / 100 The calculation converts the annualized VIX volatility into an expected daily move by dividing by the square root of 252 (the approximate number of trading days per year). Features: Real-time calculation using current ES futures price and VIX level Histogram visualization in a separate pane for easy trend analysis Information table displaying: Current ES futures price Current VIX level Expected daily move in points Expected daily move as a percentage
Индикатор Pine Script®
от alanjeremiebarbe
Elite Energy Alpha MatrixThe Elite Energy Alpha Matrix indicator provides comprehensive analysis of the energy sector, focusing on the complex relationships between crude oil benchmarks, natural gas, energy-related ETFs, and the performance dynamics across various energy sub-sectors. The indicator tracks multiple energy price data sources including WTI crude oil, Brent crude, natural gas, and oil ETFs, enabling detailed monitoring of price relationships and divergences within the energy complex. Key analytical components include: • Correlation analysis between major energy benchmarks • Multi-timeframe examination of energy price relationships • Sector rotation detection within energy sub-sectors including integrated oil majors, exploration and production companies, oilfield services, refiners, pipelines, and renewable energy • Performance monitoring across different energy market segments The indicator provides a structured framework for analyzing the internal dynamics of the energy sector, identifying periods of alignment or divergence between different energy price instruments, and monitoring relative performance across energy sub-sectors. This approach enables users to assess the consistency of price movements across the energy complex and identify situations where different components of the energy market are exhibiting divergent behavior, which can provide insight into the underlying drivers affecting the sector.2.6s
Индикатор Pine Script®
от Timmy741
The Trade Plan 9 & 15 EMA⭐ What Are EMAs? An Exponential Moving Average (EMA) gives more weight to recent prices, making it more responsive than a simple moving average. 9-EMA = very fast, reacts quickly to price changes 15-EMA = slightly slower, smooths short-term noise Together they help identify momentum shifts. 📈 How the 9/15 EMA Strategy Works 1. Buy Signal (Bullish Crossover) You enter a long (buy) trade when: ➡ 9 EMA crosses above the 15 EMA This suggests momentum is shifting upward and a new uptrend may be forming. 2. Sell Signal (Bearish Crossover) You enter a short (sell) trade or exit long positions when: ➡ 9 EMA crosses below the 15 EMA This suggests momentum is turning downward. 🔧 How Traders Typically Use It Entry Wait for a clear crossover. Confirm with price closing on the same side of EMAs. Some traders add confirmation using RSI, MACD, or support/resistance. Exit Several options: Exit when the opposite crossover occurs. Exit at predetermined risk-reward levels (e.g., 1:2). Use trailing stop below/above EMAs. 👍 Strengths Easy to follow Good for fast-moving markets Works well on trending markets Minimal indicators needed 👎 Weaknesses Whipsaws in sideways markets Many false signals on very low timeframes Works best with additional filters 🕒 Common Timeframes Scalping: 1m, 5m Day trading: 5m, 15m Swing trading: 1H, 4H
Индикатор Pine Script®
от miyarajmahamad284
Trading Sessions Low and HighVisualize and analyze different trading sessions (Tokyo, London, New York) on your charts. Key Features: Colored Session Zones: Displays colored rectangles to visually identify each active trading session Smart High/Low Lines: Draws horizontal lines at the highest and lowest points of each session These lines automatically extend forward in time until a candle crosses them Helps identify support/resistance levels created during each session Detailed Session Information: Range (difference between highest and lowest points) Average price of the session Open and close lines Full Customization: Choose the number of historical sessions to display (e.g., last 10, 20 sessions) Line style and width for high/low lines Enable/disable each element independently Trading Benefits: Identify liquidity zones created during each session Spot key levels that continue to influence price after a session closes Analyze volatility and price behavior across different sessions Detect breakouts of important levels established during previous sessions
Индикатор Pine Script®
от Dirhvep
Omega Correlation [OmegaTools]Omega Correlation (Ω CRR) is a cross-asset analytics tool designed to quantify both the strength of the relationship between two instruments and the tendency of one to move ahead of the other. It is intended for traders who work with indices, futures, FX, commodities, equities and ETFs, and who require something more robust than a simple linear correlation line. The indicator operates in two distinct modes, selected via the “Show” parameter: Correlation and Anticipation. In Correlation mode, the script focuses on how tightly the current chart and the chosen second asset move together. In Anticipation mode, it shifts to a lead–lag perspective and estimates whether the second asset tends to behave as a leader or a follower relative to the symbol on the chart. In both modes, the core inputs are the chart symbol and a user-selected second symbol. Internally, both assets are transformed into normalized log-returns: the script computes logarithmic returns, removes short-term mean and scales by realized volatility, then clips extreme values. This normalisation allows the tool to compare behaviour across assets with different price levels and volatility profiles. In Correlation mode, the indicator computes a composite correlation score that typically ranges between –1 and +1. Values near +1 indicate strong and persistent positive co-movement, values near zero indicate an unstable or weak link, and values near –1 indicate a stable anti-correlation regime. The composite score is constructed from three components. The first component is a normalized return co-movement measure. After transforming both instruments into normalized returns, the script evaluates how similar those returns are bar by bar. When the two assets consistently deliver returns of similar sign and magnitude, this component is high and positive. When they frequently diverge or move in opposite directions, it becomes negative. This captures short-term co-movement in a volatility-adjusted way. The second component focuses on high–low swing alignment. Rather than looking only at closes, it examines the direction of changes in highs and lows for each bar. If both instruments are printing higher highs and higher lows together, or lower highs and lower lows together, the swing structure is considered aligned. Persistent alignment contributes positively to the correlation score, while repeated mismatches between the swing directions reduce it. This helps differentiate between superficial price noise and structural similarity in trend behaviour. The third component is a classical Pearson correlation on closing prices, computed over a longer lookback. This serves as a stabilising backbone that summarises general co-movement over a broader window. By combining normalized return co-movement, swing alignment and standard price correlation with calibrated weights, the Correlation mode provides a richer view than a single linear measure, capturing both short-term dynamic interaction and longer-term structural linkage. In Anticipation mode, Omega Correlation estimates whether the second asset tends to lead or lag the current chart. The output is again a continuous score around the range. Positive values suggest that the second asset is acting more as a leader, with its past moves bearing informative value for subsequent moves of the chart symbol. Negative values indicate that the second asset behaves more like a laggard or follower. Values near zero suggest that no stable lead–lag structure can be identified. The anticipation score is built from four elements inspired by quantitative lead–lag and price discovery analysis. The first element is a residual lead correlation, conceptually similar to Granger-style logic. The script first measures how much of the chart symbol’s normalized returns can be explained by its own lagged values. It then removes that component and studies the correlation between the residuals and lagged returns of the second asset. If the second asset’s past returns consistently explain what the chart symbol does beyond its own autoregressive behaviour, this residual correlation becomes significantly positive. The second element is an asymmetric lead–lag structure measure. It compares the strength of relationships in both directions across multiple lags: the correlation of the current symbol with lagged versions of the second asset (candidate leader) versus the correlation of lagged values of the current symbol with the present values of the second asset. If the forward direction (second asset leading the first) is systematically stronger than the backward direction, the structure is skewed toward genuine leadership of the second asset. The third element is a relative price discovery score, constructed by building a dynamic hedge ratio between the two prices and defining a spread. The indicator looks at how changes in each asset contribute to correcting deviations in this spread over time. When the chart symbol tends to do most of the adjustment while the second asset remains relatively stable, it suggests that the second asset is taking a greater role in determining the equilibrium price and the chart symbol is adjusting to it. The difference in adjustment intensity between the two instruments is summarised into a single score. The fourth element is a breakout follow-through causality component. The script scans for breakout events on the second asset, where its price breaks out of a recent high or low range while the chart symbol has not yet done so. It then evaluates whether the chart symbol subsequently confirms the breakout direction, remains neutral, or moves against it. Events where the second asset breaks and the first asset later follows in the same direction add positive contribution, while failed or contrarian follow-through reduce this component. The contribution is also lightly modulated by the strength of the breakout, via the underlying normalized return. The four elements of the Anticipation mode are combined into a single leading correlation score, providing a compact and interpretable measure of whether the second asset currently behaves as an effective early signal for the symbol you trade. To aid interpretation, Omega Correlation builds dynamic bands around the active series (correlation or anticipation). It estimates a long-term central tendency and a typical deviation around it, plotting upper and lower bands that highlight unusually high or low values relative to recent history. These bands can be used to distinguish routine fluctuations from genuinely extreme regimes. The script also computes percentile-based levels for the correlation series and uses them to track two special price levels on the main chart: lost correlation levels and gained correlation levels. When the correlation drops below an upper percentile threshold, the current price is stored as a lost correlation level and plotted as a horizontal line. When the correlation rises above a lower percentile threshold, the current price is stored as a gained correlation level. These levels mark zones where a historically strong relationship between the two markets broke down or re-emerged, and can be used to frame divergence, convergence and spread opportunities. An information panel summarises, in real time, whether the second asset is behaving more as a leading, lagging or independent instrument according to the anticipation score, and suggests whether the current environment is more conducive to de-alignment, re-alignment or classic spread behaviour based on the correlation regime. This makes the tool directly interpretable even for users who are not familiar with all the underlying statistical details. Typical applications for Omega Correlation include intermarket analysis (for example, index vs index, commodity vs related equity sector, FX vs bonds), dynamic hedge sizing, regime detection for algorithmic strategies, and the identification of lead–lag structures where a macro driver or benchmark can be monitored as an early signal for the instrument actually traded. The indicator can be applied across intraday and higher timeframes, with the understanding that the strength and nature of relationships will differ across horizons. Omega Correlation is designed as an advanced analytical framework, not as a standalone trading system. Correlation and lead–lag relationships are statistical in nature and can change abruptly, especially around macro events, regime shifts or liquidity shocks. A positive anticipation reading does not guarantee that the second asset will always move first, and a high correlation regime can break without warning. All outputs of this tool should be combined with independent analysis, sound risk management and, when appropriate, backtesting or forward testing on the user’s specific instruments and timeframes. The intention behind Omega Correlation is to bring techniques inspired by quantitative research, such as normalized return analysis, residual correlation, asymmetric lead–lag structure, price discovery logic and breakout event studies, into an accessible TradingView indicator. It is intended for traders who want a structured, professional way to understand how markets interact and to incorporate that information into their discretionary or systematic decision-making processes.
Индикатор Pine Script®
от OmegaTools
SuperTrend Zone Rejection [STRZ] CONCEPT - This indicator identifies trend-continuation setups by combining the Super Trend with dynamic Average True Range (ATR) value zones. It highlights specific price action behaviour's—specifically wick rejections and momentum closes—that occur during pullbacks into the trend baseline. HOW IT WORKS - The script operates on three logic gates: >> Trend Filter: Uses a standard Super Trend (Factor 3, Period 10 default) to define market direction. >> Dynamic Zones: Projects a volatility-based zone (default 2.0x ATR) above or below the Super Trend line to define a valid pullback area. >> Signal Detection: Identifies specific candle geometries occurring within these zones. >> Rejection: Candles with significant wicks testing the zone support/resistance. >> Momentum: Candles that open within the zone and close in the upper/lower quartile of their range. FEATURES - >> Dynamic Channel: Visualizes the active buy/sell zone using a continuous, non-repainting box. >> Volatile Filtering: Filters out low-volatility candles (doji's/noise) based on minimum ATR size. >> Visuals: Color-coded trend visualization with distinct signal markers for qualified entries. SETTINGS - >> Super Trend: Adjustable Factor and ATR Period. >> Zone Multiplier: Controls the width of the pullback zone relative to ATR. >> Visuals: Customizable colours for zones and signals to fit light/dark themes.
Индикатор Pine Script®
от siddarth_banakar3