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Opening Range Breakout Detector📈 Opening Range Breakout Detector (TF-Independent) Tracks breakouts with precision. No matter the chart, no matter the timeframe. This indicator monitors whether price breaks above or below the Opening Range across multiple key durations — 1m, 5m, 10m, 15m, 30m, 45m, and 60m — using 1-minute data under the hood, while you can work on higher timeframe charts (daily, etc.). Highlights: ✅ Status table shows which ORs broke UP or DOWN ⏱ Control which timeframes to track 🖼 Customizable table position, size and colors Crafted by @FunkyQuokka
Pine Script® indicator
by FunkyQuokka
JPMorgan G7 Volatility IndexThe JPMorgan G7 Volatility Index: Scientific Analysis and Professional Applications Introduction The JPMorgan G7 Volatility Index (G7VOL) represents a sophisticated metric for monitoring currency market volatility across major developed economies. This indicator functions as an approximation of JPMorgan's proprietary volatility indices, providing traders and investors with a normalized measurement of cross-currency volatility conditions (Clark, 2019). Theoretical Foundation Currency volatility is fundamentally defined as "the statistical measure of the dispersion of returns for a given security or market index" (Hull, 2018, p.127). In the context of G7 currencies, this volatility measurement becomes particularly significant due to the economic importance of these nations, which collectively represent more than 50% of global nominal GDP (IMF, 2022). According to Menkhoff et al. (2012, p.685), "currency volatility serves as a global risk factor that affects expected returns across different asset classes." This finding underscores the importance of monitoring G7 currency volatility as a proxy for global financial conditions. Methodology The G7VOL indicator employs a multi-step calculation process: Individual volatility calculation for seven major currency pairs using standard deviation normalized by price (Lo, 2002) - Weighted-average combination of these volatilities to form a composite index - Normalization against historical bands to create a standardized scale - Visual representation through dynamic coloring that reflects current market conditions The mathematical foundation follows the volatility calculation methodology proposed by Bollerslev et al. (2018): Volatility = σ(returns) / price × 100 Where σ represents standard deviation calculated over a specified timeframe, typically 20 periods as recommended by the Bank for International Settlements (BIS, 2020). Professional Applications Professional traders and institutional investors employ the G7VOL indicator in several key ways: 1. Risk Management Signaling According to research by Adrian and Brunnermeier (2016), elevated currency volatility often precedes broader market stress. When the G7VOL breaches its high volatility threshold (typically 1.5 times the 100-period average), portfolio managers frequently reduce risk exposure across asset classes. As noted by Borio (2019, p.17), "currency volatility spikes have historically preceded equity market corrections by 2-7 trading days." 2. Counter-Cyclical Investment Strategy Low G7 volatility periods (readings below the lower band) tend to coincide with what Shin (2017) describes as "risk-on" environments. Professional investors often use these signals to increase allocations to higher-beta assets and emerging markets. Campbell et al. (2021) found that G7 volatility in the lowest quintile historically preceded emerging market outperformance by an average of 3.7% over subsequent quarters. 3. Regime Identification The normalized volatility framework enables identification of distinct market regimes: - Readings above 1.0: Crisis/high volatility regime - Readings between -0.5 and 0.5: Normal volatility regime - Readings below -1.0: Unusually calm markets According to Rey (2015), these regimes have significant implications for global monetary policy transmission mechanisms and cross-border capital flows. Interpretation and Trading Applications G7 currency volatility serves as a barometer for global financial conditions due to these currencies' centrality in international trade and reserve status. As noted by Gagnon and Ihrig (2021, p.423), "G7 currency volatility captures both trade-related uncertainty and broader financial market risk appetites." Professional traders apply this indicator in multiple contexts: - Leading indicator: Research from the Federal Reserve Board (Powell, 2020) suggests G7 volatility often leads VIX movements by 1-3 days, providing advance warning of broader market volatility. - Correlation shifts: During periods of elevated G7 volatility, cross-asset correlations typically increase what Brunnermeier and Pedersen (2009) term "correlation breakdown during stress periods." This phenomenon informs portfolio diversification strategies. - Carry trade timing: Currency carry strategies perform best during low volatility regimes as documented by Lustig et al. (2011). The G7VOL indicator provides objective thresholds for initiating or exiting such positions. References Adrian, T. and Brunnermeier, M.K. (2016) 'CoVaR', American Economic Review, 106(7), pp.1705-1741. Bank for International Settlements (2020) Monitoring Volatility in Foreign Exchange Markets. BIS Quarterly Review, December 2020. Bollerslev, T., Patton, A.J. and Quaedvlieg, R. (2018) 'Modeling and forecasting (un)reliable realized volatilities', Journal of Econometrics, 204(1), pp.112-130. Borio, C. (2019) 'Monetary policy in the grip of a pincer movement', BIS Working Papers, No. 706. Brunnermeier, M.K. and Pedersen, L.H. (2009) 'Market liquidity and funding liquidity', Review of Financial Studies, 22(6), pp.2201-2238. Campbell, J.Y., Sunderam, A. and Viceira, L.M. (2021) 'Inflation Bets or Deflation Hedges? The Changing Risks of Nominal Bonds', Critical Finance Review, 10(2), pp.303-336. Clark, J. (2019) 'Currency Volatility and Macro Fundamentals', JPMorgan Global FX Research Quarterly, Fall 2019. Gagnon, J.E. and Ihrig, J. (2021) 'What drives foreign exchange markets?', International Finance, 24(3), pp.414-428. Hull, J.C. (2018) Options, Futures, and Other Derivatives. 10th edn. London: Pearson. International Monetary Fund (2022) World Economic Outlook Database. Washington, DC: IMF. Lo, A.W. (2002) 'The statistics of Sharpe ratios', Financial Analysts Journal, 58(4), pp.36-52. Lustig, H., Roussanov, N. and Verdelhan, A. (2011) 'Common risk factors in currency markets', Review of Financial Studies, 24(11), pp.3731-3777. Menkhoff, L., Sarno, L., Schmeling, M. and Schrimpf, A. (2012) 'Carry trades and global foreign exchange volatility', Journal of Finance, 67(2), pp.681-718. Powell, J. (2020) Monetary Policy and Price Stability. Speech at Jackson Hole Economic Symposium, August 27, 2020. Rey, H. (2015) 'Dilemma not trilemma: The global financial cycle and monetary policy independence', NBER Working Paper No. 21162. Shin, H.S. (2017) 'The bank/capital markets nexus goes global', Bank for International Settlements Speech, January 15, 2017.
Pine Script® indicator
by EdgeTools
Huntwood PVSRA Candles with 34 EMA WavePVSRA + Wave Indicator (Volume + Structure + Momentum) This custom indicator blends PVSRA (Price, Volume, S&R Analysis) with wave-based structure tracking to help identify smart money activity, volume surges, and wave patterns in real time. It highlights: Volume spikes at key zones Wave counts & structure shifts Potential market maker traps & trend setups Ideal for traders who want a visual edge combining volume-based clues with wave rhythm for better entry/exit decisions.
Pine Script® indicator
by huntwoodtrading
ADX Pro [Ryu_xp] - EnhancedADX Pro – Enhanced (Pine v6) A modernized ADX indicator built in Pine Script v6, combining customizable trend-strength thresholds with optional DI plotting, candle coloring, and a built-in label table for at-a-glance readings. Designed to give traders precise entry signals and market-condition awareness in one clean pane. Key Features: Fully Updated to Pine v6: Leverages the latest Pine Script features for speed and reliability. Adjustable Trend Levels: Define your own “Disinterest” (default 20) and “Strong Trend” (default 35) levels to suit any instrument or timeframe. Monocolor Mode: Override dynamic coloring and choose a single ADX line color for a minimalistic look. Optional +DI/–DI Plotting: Toggle directional indicators on or off without modifying the code. Candle Coloring: Barcolors reflect current ADX strength zone, making trend bias instantly visible on price. 45° Direction Arrow: Easily read whether ADX is rising (↗) or falling (↘) without needing to inspect values. Live Status Table: A compact, right-aligned table displays the current ADX value, arrow, and label “ADX” in a colored cell—fully resizable to your chart layout. Built-in Alerts: Strong Trend Alert when ADX ≥ trend level. Disinterest Alert when ADX < range level. Usage: Apply to any chart on a clean pane (no extra indicators). Configure “Disinterest” and “Trend” levels as desired. Enable monocolor or DI plots if needed. Watch live table and bar colors for quick decision-making. Set up alerts to automate your strategy triggers.
Pine Script® indicator
by ProfitXbtc
15-min Break of Structure (BoS)//@version=5 indicator("15-min Break of Structure (BoS)", overlay=true) // Timeframe and swing detection tf = input.timeframe("15", title="Timeframe for BoS") len = input.int(5, title="Swing Length") // Get higher timeframe OHLC = request.security(syminfo.tickerid, tf, ) // Detect swing highs and lows swingHigh = ta.highestbars(highHTF, len) == 0 ? highHTF : na swingLow = ta.lowestbars(lowHTF, len) == 0 ? lowHTF : na // Persistent lines var float prevHigh = na var float prevLow = na // Store last valid swing if not na(swingHigh) prevHigh := swingHigh if not na(swingLow) prevLow := swingLow // Check BoS bosUp = close > prevHigh and not na(prevHigh) bosDown = close < prevLow and not na(prevLow) plotshape(bosUp, title="BoS Up", location=location.belowbar, color=color.green, style=shape.labelup, text="BoS ↑") plotshape(bosDown, title="BoS Down", location=location.abovebar, color=color.red, style=shape.labeldown, text="BoS ↓") // Show previous structure levels plot(prevHigh, title="Previous Swing High", color=color.green, linewidth=1, style=plot.style_linebr) plot(prevLow, title="Previous Swing Low", color=color.red, linewidth=1, style=plot.style_linebr)
Pine Script® indicator
by psanskar0012
🐳 펭기 ETH 고래 매집 감지기//@version=5 indicator("🐳 펭기 ETH 고래 매집 감지기", overlay=true) // OBV 계산 obv = 0.0 obv := nz(obv ) + (close > close ? volume : close < close ? -volume : 0) obv_rising = obv > ta.sma(obv, 5) // CMF 수동 계산 length = 20 mfv = ((close - low) - (high - close)) / (high - low) * volume cmf = ta.sma(mfv, length) / ta.sma(volume, length) cmf_positive = cmf > 0 // 거래량 급증 여부 vol_avg = ta.sma(volume, 5) vol_surge = volume > vol_avg * 1.5 // 실체 양봉 조건 real_body = math.abs(close - open) upper_wick = high - math.max(close, open) candle_bullish = close > open and upper_wick < real_body * 0.3 // 고래 매집 트리거 trigger = obv_rising and cmf_positive and vol_surge and candle_bullish // 시각화 및 알림 plotshape(trigger, title="ETH 고래 매집 신호", location=location.belowbar, color=color.teal, style=shape.labelup, text="🐳") alertcondition(trigger, title="📢 ETH 고래 매집 감지!", message="ETH에서 고래 매집 조건 충족!")
Pine Script® indicator
by qr0201
Momentum TrackerDescription To screen for momentum movers, one can filter for stocks that have made a noticeable move over a set period. This initial move defines the momentum or swing move. From this list of candidates, we can create a watchlist by selecting those showing a momentum pause, such as a pullback or consolidation, which later could set up for a continuation. Momentum = Magnitude × Time This Momentum Tracker indicator serves as a study tool to visualize when stocks historically met these momentum conditions. It marks on the chart where a stock would have appeared on the screener, allowing us to review past momentum patterns and screener requirements. The indicator measures momentum in three different ways: Normalized Momentum Identifies when the current price reaches a new high or low compared to a historical window. This is the most standardized measurement and adapts well across markets. Normalized = Current Price ≥ Maximum Price in Lookback Normalized = Current Price ≤ Minimum Price in Lookback Relative Momentum Measures the percentage difference between a fast and a slow moving average. This method helps capture acceleration, the rate at which momentum is building over time. Relative = |Fast MA − Slow MA| ÷ Slow MA × 100 Absolute Momentum Measures how far price has moved from the highest or lowest point within a defined lookback period. Absolute = (Current Price − Lowest Price) ÷ Lowest Price × 100 Absolute = (Highest Price − Current Price) ÷ Highest Price × 100 Customization The tool is customizable in terms of lookback period and thresholds to accommodate different trading styles and timeframes, allowing users to set criteria that align with specific hold times and momentum requirements. While the various calculations can be enabled, the tool is best used in isolation of each to visualize different momentum conditions.
Pine Script® indicator
by StockLeave
Cointegration Heatmap & Spread Table [EdgeTerminal]The Cointegration Heatmap is a powerful visual and quantitative tool designed to uncover deep, statistically meaningful relationships between assets. Unlike traditional indicators that react to price movement, this tool analyzes the underlying statistical relationship between two time series and tracks when they diverge from their long-term equilibrium — offering actionable signals for mean-reversion trades . What Is Cointegration? Most traders are familiar with correlation, which measures how two assets move together in the short term. But correlation is shallow — it doesn’t imply a stable or predictable relationship over time. Cointegration, however, is a deeper statistical concept: Two assets are cointegrated if a linear combination of their prices or returns is stationary , even if the individual series themselves are non-stationary. Cointegration is a foundational concept in time series analysis, widely used by hedge funds, proprietary trading firms, and quantitative researchers. This indicator brings that institutional-grade concept into an easy-to-use and fully visual TradingView indicator. This tool helps answer key questions like: “Which stocks tend to move in sync over the long term?” “When are two assets diverging beyond statistical norms?” “Is now the right time to short one and long the other?” Using a combination of regression analysis, residual modeling, and Z-score evaluation, this indicator surfaces opportunities where price relationships are stretched and likely to snap back — making it ideal for building low-risk, high-probability trade setups. In simple terms: Cointegrated assets drift apart temporarily, but always come back together over time. This behavior is the foundation of successful pairs trading. How the Indicator Works Cointegration Heatmap indicator works across any market supported on TradingView — from stocks and ETFs to cryptocurrencies and forex pairs. You enter your list of symbols, choose a timeframe, and the indicator updates every bar with live cointegration scores, spread signals, and trade-ready insights. Indicator Settings: Symbol list: a customizable list of symbols separated by commas Returns timeframe: time frame selection for return sampling (Weekly or Monthly) Max periods: max periods to limit the data to a certain time and to control indicator performance This indicator accomplishes three major goals in one streamlined package: Identifies stable long-term relationships (cointegration) between assets, using a heatmap visualization. Tracks the spread — the difference between actual prices and the predicted linear relationship — between each pair. Generates trade signals based on Z-score deviations from the mean spread, helping traders know when a pair is statistically overextended and likely to mean revert. The math: Returns are calculated using spread tickers to ensure alignment in time and adjust for dividends, splits, and other inconsistencies. For each unique pair of symbols, we perform a linear regression Yt​=α+βXt​+ε Then we compute the residuals (errors from the regression): Spreadt​=Yt​−(α+βXt​) Calculate the standard deviation of the spread over a moving window (default: 100 samples) and finally, define the Cointegration Score: S=1/Standard Deviation of Residuals This means, the lower the deviation, the tighter the relationship, so higher scores indicate stronger cointegration. Always remember that cointegration can break down so monitor the asset over time and over multiple different timeframes before making a decision. How to use the indicator The heatmap table: The indicator displays 2 very important tables, one in the middle and one on the right side. After entering your symbols, the first table to pay attention to is the middle heatmap table. Any assets with a cointegration value of 25% is something to pay attention to and have a strong and stable relationship. Anything below is weak and not tradable. Additionally, the 40% level is another important line to cross. Assets that have a cointegration score of over 40% will most likely have an extremely strong relationship. Think about it this way, the higher the percentage, the tighter and more statistically reliable the relationship is. The spread table: After finding a good asset pair using heatmap, locate the same pair in the spread table (right side). Here’s what you’ll see on the table: Spread: Current difference between the two symbols based on the regression fit Mean: Historical average of that spread Z-score: How far current spread is from the mean in standard deviations Signal: Trade suggestion: Short, Long, or Neutral Since you’re expecting mean reversion, the idea is that the spread will return to the average. You want to take a trade when the z-score is either over +2 or below -2 and exit when z-score returns to near 0. You will usually see the trade suggestion on the spread chart but you can make your own decision based on your risk level. Keep in mind that the Z-score for each pair refers to how off the first asset is from the mean compared to the second one, so for example if you see STOCKA vs STOCKB with a Z-score of -1.55, we are regressing STOCKB (Y) on STOCKA (X). In this case, STOCKB is the quoted asset and STOCKA is the base asset. In this case, this means that STOCKB is much lower than expected relative to STOCKA, so the trade would be a long position on stock B and short position on stock A.
Pine Script® indicator
by EdgeTerminal
Resistance Breakout LevelsResistance Breakout Levels An advanced TradingView indicator that detects significant resistance pivots and marks confirmed breakouts. Description: This Pine Script automatically identifies swing-high pivot points as potential resistance levels. It confirms a breakout only after a configurable number of consecutive closes above the pivot, reducing noise and avoiding false signals. Once validated, it draws a horizontal breakout line at the pivot price and adds a label with the breakout value. Traders can choose to display all breakout lines or only the single highest breakout within a specified lookback period. Additionally, a dynamic current price line spans the chart for quick reference. Features: • Pivot High Detection for Resistance Levels • N-Consecutive Close Breakout Confirmation • Toggle Between All Breakouts or Highest Breakout with Lookback Window • Full-Width Live Current Price Line • Customizable Line Colors, Widths, and Extension Direction • Price Labels Directly on Breakout Lines User Inputs: • Pivot Bars (Left/Right): Number of bars used to detect pivot highs • Consecutive Closes Above: Closes required above pivot to confirm breakout • Show All Breakouts: Option to plot every confirmed breakout line • Highest Lookback Bars: Lookback window for retaining only the highest breakout • Breakout Line Color & Width: Customize breakout line appearance • Price Line Color & Width: Customize live current price line appearance
Pine Script® indicator
by gilad1987
Leverage Liquidation LevelsThis indicator visualizes static leverage liquidation levels calculated from a user-defined base price. It helps traders understand potential price impacts at different leverage ratios by displaying multiple thresholds (x2, x5, x10, x20, x50, x75, x100) for both long and short positions. 🔹 What This Indicator Shows The indicator creates horizontal lines representing price levels where liquidations might occur for traders using various leverage multiples. Lines above the base price show potential short liquidation levels, while lines below show potential long liquidation levels. 🔹 How To Use 1. Set your base price parameter (default: 27319) 2. The indicator will display color-coded lines for each leverage level 3. Use these visual references to better understand risk when trading with leverage 🔹 Key Features - Color-coded lines for easy identification of different leverage levels - Visual distinction between long and short liquidation zones - Customizable base price to adapt to any asset or price range 🔹 Disclaimer This indicator provides static reference points based on mathematical calculations only. It does not use real-time liquidation data from exchanges and should be used for educational purposes and risk visualization only. Actual liquidation levels depend on multiple factors including exchange-specific parameters, funding rates, and market conditions. For educational purposes only. Not financial advice.
Pine Script® indicator
by SpecialOpinion
Moving Average Convergence Divergenceindicator(title="Moving Average Convergence Divergence", shorttitle="MACD+", timeframe="", timeframe_gaps=true) // === Input Parameters === fast_length = input(title = "Fast Length", defval = 12) slow_length = input(title = "Slow Length", defval = 26) src = input(title = "Source", defval = close) signal_length = input.int(title = "Signal Smoothing", minval = 1, maxval = 50, defval = 9, display = display.data_window) sma_source = input.string(title = "Oscillator MA Type", defval = "EMA", options = , display = display.data_window) sma_signal = input.string(title = "Signal Line MA Type", defval = "EMA", options = , display = display.data_window) // === MACD Calculation === fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length) slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length) macd = fast_ma - slow_ma signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length) hist = macd - signal // === Alerts === alertcondition(hist >= 0 and hist < 0, title = 'Rising to falling', message = 'The MACD histogram switched from a rising to falling state') alertcondition(hist <= 0 and hist > 0, title = 'Falling to rising', message = 'The MACD histogram switched from a falling to rising state') // === Plots === hline(0, "Zero Line", color = color.new(#787B86, 50)) plot(hist, title = "Histogram", style = plot.style_columns, color = (hist >= 0 ? (hist < hist ? #26A69A : #B2DFDB) : (hist < hist ? #FFCDD2 : #FF5252))) // MACD 線顏色根據是否高於 0 自動切換 macd_color = macd >= 0 ? color.green : color.red plot(macd, title = "MACD", color = macd_color) plot(signal, title = "Signal", color = #FF6D00)
Pine Script® indicator
by bonniestock2020
EMA CCI SSL Buy Sell Signal [THANHCONG]📘 Full Description 🔍 Overview This indicator combines three key technical elements to generate trend-based buy/sell signals: EMA (Exponential Moving Averages), CCI (Commodity Channel Index), and the SSL Channel. 📊 Key Features: ✅ Multi-timeframe EMA alignment (8, 21, 89) to confirm trend direction ✅ CCI to detect short-term momentum shifts ✅ Higher Time Frame (HTF) SSL Channel integration for trend filtering ✅ Automatic HTF detection (Auto Mode) or manual timeframe selection ✅ On-chart visual signals with labels and clear color cues ✅ Signal info panel displaying real-time profit/loss percentage since entry ⚙️ Signal Logic Buy Signal: EMA 8 > EMA 21 > EMA 89 (strong uptrend) Turbo CCI > 50 (bullish momentum) Price crosses above HTF SSL upper band Sell Signal: EMA 8 < EMA 21 < EMA 89 (strong downtrend) Turbo CCI < -50 (bearish momentum) Price crosses below HTF SSL lower band 💡 Highlights: Early signals: Displayed immediately once conditions are met (no candle close required) Flexible HTF filtering (Auto/Manual option) Optimized for use on 15-minute to 4-hour or daily charts 📌 How to Use: Apply the indicator on charts from 15-minute timeframe and above Watch for "Buy Signal" or "Sell Signal" labels to appear on the chart Combine with your own analysis and trade management strategy Optional: backtest on historical data for confirmation ⚠️ Disclaimer (as per TradingView policy): This tool does not constitute financial advice or guarantee profits. Users should test thoroughly and manage risk appropriately. Past performance does not guarantee future results. This script is original and manually coded, inspired by well-known methods, without direct copying from any other public or private source. ✅ Author & License: Author: @ThanhCong_ License: Mozilla Public License 2.0 🙏 Thank you for using this indicator! If you find it helpful, feel free to leave a comment, share it with others, or follow me for future updates and tools. Happy and safe trading! 🚀📈..
Pine Script® indicator
by ThanhCong_
Q Impulse EntryQ Impulse Entry A directional entry system combining impulse breakouts, Elder's momentum confirmation, and ADX trend validation. Designed for clean trade setups with multi-step filtering, entry markers, and real-time alerts. 🔧 Core Logic This is not a basic mashup — each filter plays a distinct technical role: 1. Impulse Breakout Engine  • Detects sharp directional price breaks using ATR-adjusted dynamic zones  • Impulse window controls sensitivity to local highs/lows 2. Elder Momentum Filter  • Confirms signal using MACD histogram and EMA alignment  • Blocks entries when internal momentum contradicts price move 3. ADX Trend Strength Filter  • Uses threshold-based ADX logic to validate trend power  • Filters out noise in flat or weak markets The system requires all three filters to agree before confirming an entry. 📈 Visual Feedback • ⇑ / ⇓ arrows mark confirmed entry signals • Colored entry dots plotted at signal price help confirm timing and aid in multi-position layering • Impulse breakout zones and EMA are displayed for directional context • Clean layout, no repainting, designed for real-time use ⚙️ Configurable Inputs • Impulse Window — controls breakout signal sensitivity • ATR Multiplier — defines width of impulse breakout zones (Elder and ADX filters are embedded and fine-tuned) ✨ Highlights • Triple-filter signal logic = fewer false positives • Entry dots + arrows for visual clarity and scaling in • Lightweight, non-repainting, and alert-ready • Best suited for Forex and all timeframes • Ideal for breakout, trend-following, or hybrid systems • Built-in alerts and customizable zones • Always apply risk management suited to your capital and strategy Trade with clarity — stay for quality.
Pine Script® indicator
by Quantora