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Liquidity Sweeps & Swings (SMC/ICT)Liquidity Sweeps & Swings (SMC/ICT) — TradingATH Precision. Clarity. Structure. This refined indicator automatically detects and displays Liquidity Sweeps and Liquidity Swings , highlighting the precise points where liquidity is taken and where structure shifts occur within price action. Designed for traders applying Smart Money Concepts (SMC/ICT) , it offers a clear, data-driven visualization of market dynamics — providing structural context with professional accuracy and visual balance. What You’ll See Liquidity Sweeps represented as compact shaded zones, green for bullish sweeps and red for bearish ones, fading automatically once mitigated. Liquidity Swings precisely labeled “ Swing High ” and “ Swing Low ” at major pivot points, cleanly positioned within structure. Controlled-length zones that extend for a defined number of bars or dynamically until mitigation. Optional real-time alerts when a new sweep forms or price re-enters an active zone. Features Sweep Detection Logic : Identifies liquidity grabs using Wick, Close, or Wick + Close validation for flexible precision across different market conditions. Smart Mitigation : Zones dynamically fade or are removed once price mitigates the area, keeping your chart clean and relevant. Swing Mapping : Highlights key pivot points to outline market structure shifts with precise and minimal labeling. ATR Filtering : Optional volatility-based filter removes minor or insignificant sweeps to maintain clarity. Elegant Design : Subtle colors, refined typography, and balanced spacing ensure a professional, unobtrusive presentation. Alerts and Updates : Automated alerts for new sweep formations and live interaction with active zones. Professional Architecture : Efficient execution, size-safe arrays, and optimized plotting for smooth performance on any timeframe. ICT/SMC Ready : Fully compatible with advanced institutional concepts such as Fair Value Gaps, Order Blocks, and Market Structure Shifts. Perfect For Traders applying ICT or Smart Money Concepts methodologies to identify liquidity grabs and structural intent. Intraday Traders seeking precise, uncluttered sweep and swing identification on volatile charts. Swing Traders filtering high-probability setups based on liquidity structure and mitigation behavior. Analysts requiring clarity, reliability, and technical precision in their liquidity mapping tools. Recommended Settings Pivot Lookback : 14 (balanced structural sensitivity). Sweep Validation : Wick + Close (adaptive precision). Zone Length : 150 bars (controlled visual reach). ATR Filter : Minimum 0.25×, Maximum 3× (clean sweep selection). Swing Labels : Enabled (for structural clarity). In Short Clean logic. Institutional precision. Professional clarity. Liquidity Sweeps & Swings (SMC/ICT) delivers a disciplined and refined visualization of liquidity flow and structural shifts — crafted for traders who demand both analytical accuracy and visual sophistication. Created by: TradingATH
Indicatore Pine Script®
di PueblaATH
14
Order Blocks (SMC/ICT)Order Blocks (SMC/ICT) — TradingATH Precision. Intent. Structure. This refined tool automatically detects and displays Order Blocks (OBs) with clean, institutional clarity—mapping the exact zones where displacement originated and where price is most likely to rebalance or react. Built for SMC/ICT Traders , it presents bullish and bearish OBs with disciplined visuals, mitigation logic, and efficient performance on any timeframe. What You’ll See Bullish Order Blocks in balanced green shading with a mid-line, borders, and a compact label. Bearish Order Blocks in refined red tones, equally annotated and visually consistent. Controlled Extension of zones for a chosen number of bars—or dynamic extension until mitigation. Configurable Labels with selectable position (Top/Bottom, Left/Right) and custom label font color per side. Mid-Line (Average) through each OB for precise reference and execution alignment. Features Volume Pivot Logic : OBs are derived from a volume pivot length, focusing on zones that matter where displacement had participation. Mitigation Methods : Validate via Wick or Close, adapting to different liquidity conditions and your SMC playbook. ATR Size Filter : Enforce minimum/maximum size (×ATR) to remove insignificant zones and retain only the highest-quality blocks. Extend-Until-Mitigated : Keep active zones projected into future bars until price mitigates—ensuring they remain actionable. Clean Plotting : Size-safe arrays, time-anchored boxes/lines, and efficient updates for smooth operation in intraday and swing contexts. Alert Suite : OB Formed: Bullish/Bearish OB creation. OB Mitigated: Zone filled/invalidated. Price Entered OB: Live notification when price re-enters the most recent OB. Perfect For ICT/SMC Traders mapping institutional zones with precise mitigation behavior. Intraday Traders who need real-time OB formation and entry alerts without chart clutter. Swing Traders filtering only valid, well-sized OBs using ATR-based constraints. Analysts & Educators requiring a reliable, visually consistent tool for teaching structure and mitigation. Recommended Settings Volume Pivot Length : 5–14 (balance sensitivity vs. selectivity). Mitigation : Wick for responsiveness; Close for stricter confirmation. OB Length (bars) : 10–50 for controlled reach; enable Extend until mitigation for live tracking. ATR Filter : Min 0.25×, Max 3× to exclude noise while preserving meaningful blocks. Labels : Position Bottom-Right (default), adjust label font color for readability on your theme. In Short Institutional logic. Clean execution. Professional clarity. Order Blocks (SMC/ICT) — TradingATH presents structurally sound zones with precise mitigation handling and alerting—crafted for traders who demand both analytical accuracy and visual refinement. Created by: TradingATH
Indicatore Pine Script®
di PueblaATH
RBLR - GSK Vizag AP IndiaThis indicator identifies the Opening Range High (ORH) and Low (ORL) based on the first 15 minutes of the Indian equity market session (9:15 AM to 9:30 AM IST). It draws horizontal lines extending these levels until market close (3:30 PM IST) and generates visual signals for price breakouts above ORH or below ORL, as well as reversals back into the range. Key features: - **Range Calculation**: Captures the high and low during the opening period using real-time bar data. - **Line Extension**: Lines are dynamically extended bar-by-bar within the session for clear visualization. - **Signals**: - Green triangle up: Crossover above ORH (potential bullish breakout). - Red triangle down: Crossunder below ORL (potential bearish breakout). - Yellow labels: Reversals from breakout levels back into the range. - **Labels**: "RAM BAAN" marks the ORH (inspired by a precise arrow from the Ramayana), and "LAKSHMAN REKHA" marks the ORL (inspired by a protective boundary line from the same epic). - **Customization**: Toggle signals on/off and select line styles (Dotted, Dashed, Solid, or Smoothed, with transparency for Smoothed). The state-tracking logic prevents redundant signals by monitoring if price remains outside the range after a breakout. This helps users observe range-bound behavior or directional moves without built-in alerts. This indicator is particularly useful for day trading on longer intraday timeframes (e.g., 15-minute charts) to identify session-wide trends and avoid noise in shorter frames. For best results, apply on intraday timeframes on NSE/BSE symbols. Note that lines and labels are limited to the script's max counts to avoid performance issues on long histories. **Disclaimer**: This indicator is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Trading in financial markets involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should conduct their own research, consider their financial situation, and consult with qualified professionals before making any investment decisions. The author and TradingView assume no liability for any losses incurred from its use.
Indicatore Pine Script®
di prowelltraders
Fair Value Gaps (SMC/ICT)Fair Value Gaps (SMC/ICT) — TradingATH Precision. Imbalance. Opportunity. This advanced indicator automatically detects and visualizes Fair Value Gaps (FVGs) revealing the inefficiencies left in price delivery where institutional order flow has displaced liquidity. Each gap is cleanly mapped, color-coded, and dynamically managed, helping traders identify where price may seek to rebalance in the future. Engineered for Smart Money Concepts (SMC/ICT) Traders , it delivers a disciplined, minimal, and highly responsive visualization of market inefficiencies — enabling precise alignment with institutional order flow and mitigation behavior. What You’ll See Bullish FVGs represented as soft green zones indicating bullish imbalances where price is likely to revisit for rebalancing. Bearish FVGs shown in refined red tones, marking bearish inefficiencies and potential short-term premium zones. Dynamic or Static Mode — choose between continuously updating live zones or static historical boxes extending for a controlled bar length. Smart Labels displayed within each zone identifying “Bullish FVG (Fair Value Gap)” or “Bearish FVG (Fair Value Gap)” with fully customizable text colors. Mitigation Lines optionally plotted once price closes through a gap, confirming rebalancing and structural cleanup. Optional Dashboard providing a clear count of active, mitigated, and total FVGs in both bullish and bearish contexts. Features Auto Detection Logic : Precisely identifies FVGs using refined three-candle displacement logic with adjustable threshold sensitivity. Dynamic Zones : Live FVGs compress and evolve in real-time as price re-enters inefficiencies, maintaining structural accuracy. Smart Mitigation : Automatically removes or softens zones once filled or mitigated, keeping your chart focused and clean. Visual Precision : Professional color balance, typography, and spacing ensure a refined institutional-grade presentation. Alert System : Configurable alerts for new FVG formations and mitigation events to stay aligned with live liquidity flow. Performance Optimized : Built with efficient arrays and conditional logic for flawless responsiveness on all timeframes. ICT/SMC Integration : Fully compatible with complementary SMC tools like Order Blocks, Liquidity Sweeps, and Market Structure Shifts. Perfect For SMC/ICT Traders analyzing price delivery imbalances and mitigation behavior. Intraday Traders tracking high-probability rebalancing setups within institutional killzones. Swing Traders identifying unmitigated imbalances as key areas of interest for future reversals. Analysts & Educators who demand clarity, precision, and reliability in their institutional models. Recommended Settings Timeframe : 1H–4H (for structural precision). Mode : Dynamic = off for backtesting; on for live reactive monitoring. Extend : 20 bars for balanced visibility. Threshold %: 0.10–0.25% for adaptive sensitivity. Mitigation Lines : Enabled for visual confirmation of rebalancing. In Short Institutional logic. Visual clarity. Trading precision. Fair Value Gaps (SMC/ICT) — TradingATH provides a clean, data-driven visualization of inefficiencies in price delivery, helping traders anticipate rebalancing and liquidity re-tests with exceptional clarity and professional design. Created by: TradingATH
Indicatore Pine Script®
di PueblaATH
Liquidity Grab + RSI Divergence═══════════════════════════════════════════════════════════════ LIQUIDITY GRAB + RSI DIVERGENCE INDICATOR ═══════════════════════════════════════════════════════════════ 📌 OVERVIEW This indicator identifies high-probability reversals by combining: • Liquidity sweeps (stop hunts) • RSI divergence confirmation • Filters false breakouts automatically ═══════════════════════════════════════════════════════════════ 🟢 BUY SIGNAL (Green Triangle Up) REQUIRES BOTH CONDITIONS: 1. Liquidity Grab Below Previous Low • Price breaks BELOW recent low • Candle CLOSES ABOVE that low • Traps sellers who shorted the breakdown 2. Bullish RSI Divergence • Price: Lower Low (LL) • RSI: Higher Low (HL) • Shows weakening downward momentum ➜ Result: Potential bullish reversal ═══════════════════════════════════════════════════════════════ 🔴 SELL SIGNAL (Red Triangle Down) REQUIRES BOTH CONDITIONS: 1. Liquidity Grab Above Previous High • Price breaks ABOVE recent high • Candle CLOSES BELOW that high • Traps buyers who bought the breakout 2. Bearish RSI Divergence • Price: Higher High (HH) • RSI: Lower High (LH) • Shows weakening upward momentum ➜ Result: Potential bearish reversal ═══════════════════════════════════════════════════════════════ 📊 VISUAL INDICATORS Main Signals: 🔺 Large Green Triangle = BUY (Liq Grab + Bullish Div) 🔻 Large Red Triangle = SELL (Liq Grab + Bearish Div) Reference Levels: ━ Red Line = Previous High Level ━ Green Line = Previous Low Level Additional Markers (Optional): ○ Small Green Circle = Liquidity grab low only ○ Small Red Circle = Liquidity grab high only ✕ Small Blue Cross = Bullish divergence only ✕ Small Orange Cross = Bearish divergence only ═══════════════════════════════════════════════════════════════ ⚙️ SETTINGS 1. Lookback Period (Default: 20) • Range: 5-100 • Sets how far back to identify previous highs/lows • Higher = fewer but stronger levels • Lower = more frequent but weaker levels 2. RSI Length (Default: 14) • Range: 5-50 • Standard RSI calculation period • 14 is industry standard 3. RSI Divergence Lookback (Default: 5) • Range: 3-20 • Controls pivot point sensitivity • Higher = fewer divergence signals • Lower = more divergence signals 4. Show Labels (Default: ON) • Toggle BUY/SELL text labels • Disable for cleaner chart view ═══════════════════════════════════════════════════════════════ 💡 HOW TO USE Step 1: WAIT FOR CONFIRMATION • Only trade LARGE TRIANGLE signals • Ignore small circles/crosses alone Step 2: CHECK TIMEFRAME • Best on: 15min, 1H, 4H, Daily • Avoid: 1min, 5min (too noisy) Step 3: CONFIRM CONTEXT • Check overall market trend • Identify key support/resistance • Look for confluence with price action Step 4: ENTRY & RISK MANAGEMENT • Enter on signal candle close or pullback • Stop loss below/above the liquidity grab wick • Target: Previous swing high/low or key levels • Risk/Reward: Minimum 1:2 ratio Step 5: SET ALERTS • Create alert for "BUY Signal" • Create alert for "SELL Signal" • Never miss opportunities ═══════════════════════════════════════════════════════════════ ✅ BEST PRACTICES DO: ✓ Use on multiple timeframes for confluence ✓ Combine with support/resistance zones ✓ Wait for both conditions (liq grab + divergence) ✓ Practice on demo account first ✓ Use proper position sizing DON'T: ✗ Trade every small circle/cross ✗ Use on very low timeframes (<15min) ✗ Ignore overall market context ✗ Trade without stop loss ✗ Risk more than 1-2% per trade ═══════════════════════════════════════════════════════════════ ⚠️ IMPORTANT NOTES • This is a CONFIRMATION tool, not a holy grail • No indicator is 100% accurate • Combine with your trading strategy • Backtest on your preferred instruments • Adjust parameters for your trading style • Higher timeframes = more reliable signals • Always use risk management ═══════════════════════════════════════════════════════════════ 🔔 ALERTS INCLUDED Two alert conditions are built-in: 1. "BUY Signal" - Liquidity Grab + Bullish RSI Divergence 2. "SELL Signal" - Liquidity Grab + Bearish RSI Divergence ═══════════════════════════════════════════════════════════════ 📈 RECOMMENDED SETTINGS BY TIMEFRAME 5-15 Min Charts: • Lookback: 10-15 • RSI Length: 14 • RSI Div Lookback: 3-5 1H-4H Charts: • Lookback: 20-30 • RSI Length: 14 • RSI Div Lookback: 5-7 Daily Charts: • Lookback: 30-50 • RSI Length: 14 • RSI Div Lookback: 7-10 ═══════════════════════════════════════════════════════════════ Good luck and trade safe! 🚀
Indicatore Pine Script®
di hassanejaz1
HTF Session Boxes H4 > H2 > H1HTF Session Boxes H4 > H2 > H1 Visualize higher timeframe candle structures on lower timeframe charts with nested, customizable boxes. Overview HTF Session Boxes plots 4-hour, 2-hour, and 1-hour candle ranges as nested boxes directly on your lower timeframe charts (15M and below). This provides instant visual context of higher timeframe structure without switching between different chart timeframes. Key Features - Three Timeframe Levels: Simultaneously displays 4H, 2H, and 1H candle boxes - Nested Design: Boxes are layered inside each other for clear hierarchical structure - Real-Time Updates: Boxes dynamically adjust as higher timeframe candles develop Fully Customizable: -Individual colors and transparency for each timeframe -Custom border colors, widths, and styles (solid, dashed, dotted) -Toggle each timeframe on/off independently Best Use Cases -Scalping & Day Trading: Maintain awareness of higher timeframe structure while trading lower timeframes -Session Analysis: Clearly see 4H session boundaries and internal 2H/1H divisions -Support/Resistance: Identify key levels where higher timeframe candles open, close, or create highs/lows -Multi-Timeframe Confluence: Spot when multiple timeframes align at key price levels
Indicatore Pine Script®
di sdahaghi
Risk Leverage ToolRisk Leverage Tool – Calculate Position Size and Required Leverage This script automatically calculates the optimal position size and the leverage needed based on the amount of capital you are willing to risk on a trade. It is designed for traders who want precise control over their risk management. The script determines the distance between the entry and stop-loss price, calculates the maximum position size that fits within the defined risk, and derives the notional value of the trade. Based on the available margin, it then calculates the required leverage. It also displays the percentage of margin at risk if the stop-loss is hit. All results are displayed in a table in the top-right corner of the chart. Additionally, a label appears at the entry price level showing the same data. To use the tool, simply input your planned entry price, stop-loss price, the maximum risk amount in dollars, and the available margin in the settings menu. The script will update all values automatically in real time. This tool works with any market where capital risk is expressed in absolute terms (such as USD), including futures, CFDs, and leveraged spot positions. For inverse contracts or percentage-based stops, manual adjustment is required.
Indicatore Pine Script®
di JoelEren
J.P. Morgan Efficiente 5 IndexJ.P. MORGAN EFFICIENTE 5 INDEX REPLICATION Walk into any retail trading forum and you'll find the same scene playing out thousands of times a day: traders huddled over their screens, drawing trendlines on candlestick charts, hunting for the perfect entry signal, convinced that the next RSI crossover will unlock the path to financial freedom. Meanwhile, in the towers of lower Manhattan and the City of London, portfolio managers are doing something entirely different. They're not drawing lines. They're not hunting patterns. They're building fortresses of diversification, wielding mathematical frameworks that have survived decades of market chaos, and most importantly, they're thinking in portfolios while retail thinks in positions. This divide is not just philosophical. It's structural, mathematical, and ultimately, profitable. The uncomfortable truth that retail traders must confront is this: while you're obsessing over whether the 50-day moving average will cross the 200-day, institutional investors are solving quadratic optimization problems across thirteen asset classes, rebalancing monthly according to Markowitz's Nobel Prize-winning framework, and targeting precise volatility levels that allow them to sleep at night regardless of what the VIX does tomorrow. The game you're playing and the game they're playing share the same field, but the rules are entirely different. The question, then, is not whether retail traders can access institutional strategies. The question is whether they're willing to fundamentally change how they think about markets. Are you ready to stop painting lines and start building portfolios? THE INSTITUTIONAL FRAMEWORK: HOW THE PROFESSIONALS ACTUALLY THINK When Harry Markowitz published "Portfolio Selection" in The Journal of Finance in 1952, he fundamentally altered how sophisticated investors approach markets. His insight was deceptively simple: returns alone mean nothing. Risk-adjusted returns mean everything. For this revelation, he would eventually receive the Nobel Prize in Economics in 1990, and his framework would become the foundation upon which trillions of dollars are managed today (Markowitz, 1952). Modern Portfolio Theory, as it came to be known, introduced a revolutionary concept: through diversification across imperfectly correlated assets, an investor could reduce portfolio risk without sacrificing expected returns. This wasn't about finding the single best asset. It was about constructing the optimal combination of assets. The mathematics are elegant in their logic: if two assets don't move in perfect lockstep, combining them creates a portfolio whose volatility is lower than the weighted average of the individual volatilities. This "free lunch" of diversification became the bedrock of institutional investment management (Elton et al., 2014). But here's where retail traders miss the point entirely: this isn't about having ten different stocks instead of one. It's about systematic, mathematically rigorous allocation across asset classes with fundamentally different risk drivers. When equity markets crash, high-quality government bonds often rally. When inflation surges, commodities may provide protection even as stocks and bonds both suffer. When emerging markets are in vogue, developed markets may lag. The professional investor doesn't predict which scenario will unfold. Instead, they position for all of them simultaneously, with weights determined not by gut feeling but by quantitative optimization. This is what J.P. Morgan Asset Management embedded into their Efficiente Index series. These are not actively managed funds where a portfolio manager makes discretionary calls. They are rules-based, systematic strategies that execute the Markowitz framework in real-time, rebalancing monthly to maintain optimal risk-adjusted positioning across global equities, fixed income, commodities, and defensive assets (J.P. Morgan Asset Management, 2016). THE EFFICIENTE 5 STRATEGY: DECONSTRUCTING INSTITUTIONAL METHODOLOGY The Efficiente 5 Index, specifically, targets a 5% annualized volatility. Let that sink in for a moment. While retail traders routinely accept 20%, 30%, or even 50% annual volatility in pursuit of returns, institutional allocators have determined that 5% volatility provides an optimal balance between growth potential and capital preservation. This isn't timidity. It's mathematics. At higher volatility levels, the compounding drag from large drawdowns becomes mathematically punishing. A 50% loss requires a 100% gain just to break even. The institutional solution: constrain volatility at the portfolio level, allowing the power of compounding to work unimpeded (Damodaran, 2008). The strategy operates across thirteen exchange-traded funds spanning five distinct asset classes: developed equity markets (SPY, IWM, EFA), fixed income across the risk spectrum (TLT, LQD, HYG), emerging markets (EEM, EMB), alternatives (IYR, GSG, GLD), and defensive positioning (TIP, BIL). These aren't arbitrary choices. Each ETF represents a distinct factor exposure, and together they provide access to the primary drivers of global asset returns (Fama and French, 1993). The methodology, as detailed in replication research by Jungle Rock (2025), follows a precise monthly cadence. At the end of each month, the strategy recalculates expected returns and volatilities for all thirteen assets using a 126-day rolling window. This six-month lookback balances responsiveness to changing market conditions against the noise of short-term fluctuations. The optimization engine then solves for the portfolio weights that maximize expected return subject to the 5% volatility target, with additional constraints to prevent excessive concentration. These constraints are critical and reveal institutional wisdom that retail traders typically ignore. No single ETF can exceed 20% of the portfolio, except for TIP and BIL which can reach 50% given their defensive nature. At the asset class level, developed equities are capped at 50%, bonds at 50%, emerging markets at 25%, and alternatives at 25%. These aren't arbitrary limits. They're guardrails preventing the optimization from becoming too aggressive during periods when recent performance might suggest concentrating heavily in a single area that's been hot (Jorion, 1992). After optimization, there's one final step that appears almost trivial but carries profound implications: weights are rounded to the nearest 5%. In a world of fractional shares and algorithmic execution, why round to 5%? The answer reveals institutional practicality over mathematical purity. A portfolio weight of 13.7% and 15.0% are functionally similar in their risk contribution, but the latter is vastly easier to communicate, to monitor, and to execute at scale. When you're managing billions, parsimony matters. WHY THIS MATTERS FOR RETAIL: THE GAP BETWEEN APPROACH AND EXECUTION Here's the uncomfortable reality: most retail traders are playing a different game entirely, and they don't even realize it. When a retail trader says "I'm bullish on tech," they buy QQQ and that's their entire technology exposure. When they say "I need some diversification," they buy ten different stocks, often in correlated sectors. This isn't diversification in the Markowitzian sense. It's concentration with extra steps. The institutional approach represented by the Efficiente 5 is fundamentally different in several ways. First, it's systematic. Emotions don't drive the allocation. The mathematics do. When equities have rallied hard and now represent 55% of the portfolio despite a 50% cap, the system sells equities and buys bonds or alternatives, regardless of how bullish the headlines feel. This forced contrarianism is what retail traders know they should do but rarely execute (Kahneman and Tversky, 1979). Second, it's forward-looking in its inputs but backward-looking in its process. The strategy doesn't try to predict the next crisis or the next boom. It simply measures what volatility and returns have been recently, assumes the immediate future resembles the immediate past more than it resembles some forecast, and positions accordingly. This humility regarding prediction is perhaps the most institutional characteristic of all. Third, and most critically, it treats the portfolio as a single organism. Retail traders typically view their holdings as separate positions, each requiring individual management. The institutional approach recognizes that what matters is not whether Position A made money, but whether the portfolio as a whole achieved its risk-adjusted return target. A position can lose money and still be a valuable contributor if it reduced portfolio volatility or provided diversification during stress periods. THE MATHEMATICAL FOUNDATION: MEAN-VARIANCE OPTIMIZATION IN PRACTICE At its core, the Efficiente 5 strategy solves a constrained optimization problem each month. In technical terms, this is a quadratic programming problem: maximize expected portfolio return subject to a volatility constraint and position limits. The objective function is straightforward: maximize the weighted sum of expected returns. The constraint is that the weighted sum of variances and covariances must not exceed the volatility target squared (Markowitz, 1959). The challenge, and this is crucial for understanding the Pine Script implementation, is that solving this problem properly requires calculating a covariance matrix. This 13x13 matrix captures not just the volatility of each asset but the correlation between every pair of assets. Two assets might each have 15% volatility, but if they're negatively correlated, combining them reduces portfolio risk. If they're positively correlated, it doesn't. The covariance matrix encodes these relationships. True mean-variance optimization requires matrix algebra and quadratic programming solvers. Pine Script, by design, lacks these capabilities. The language doesn't support matrix operations, and certainly doesn't include a QP solver. This creates a fundamental challenge: how do you implement an institutional strategy in a language not designed for institutional mathematics? The solution implemented here uses a pragmatic approximation. Instead of solving the full covariance problem, the indicator calculates a Sharpe-like ratio for each asset (return divided by volatility) and uses these ratios to determine initial weights. It then applies the individual and asset-class constraints, renormalizes, and produces the final portfolio. This isn't mathematically equivalent to true mean-variance optimization, but it captures the essential spirit: weight assets according to their risk-adjusted return potential, subject to diversification constraints. For retail implementation, this approximation is likely sufficient. The difference between a theoretically optimal portfolio and a very good approximation is typically modest, and the discipline of systematic rebalancing across asset classes matters far more than the precise weights. Perfect is the enemy of good, and a good approximation executed consistently will outperform a perfect solution that never gets implemented (Arnott et al., 2013). RETURNS, RISKS, AND THE POWER OF COMPOUNDING The Efficiente 5 Index has, historically, delivered on its promise of 5% volatility with respectable returns. While past performance never guarantees future results, the framework reveals why low-volatility strategies can be surprisingly powerful. Consider two portfolios: Portfolio A averages 12% returns with 20% volatility, while Portfolio B averages 8% returns with 5% volatility. Which performs better over time? The arithmetic return favors Portfolio A, but compound returns tell a different story. Portfolio A will experience occasional 20-30% drawdowns. Portfolio B rarely draws down more than 10%. Over a twenty-year horizon, the geometric return (what you actually experience) for Portfolio B may match or exceed Portfolio A, simply because it never gives back massive gains. This is the power of volatility management that retail traders chronically underestimate (Bernstein, 1996). Moreover, low volatility enables behavioral advantages. When your portfolio draws down 35%, as it might with a high-volatility approach, the psychological pressure to sell at the worst possible time becomes overwhelming. When your maximum drawdown is 12%, as might occur with the Efficiente 5 approach, staying the course is far easier. Behavioral finance research has consistently shown that investor returns lag fund returns primarily due to poor timing decisions driven by emotional responses to volatility (Dalbar, 2020). The indicator displays not just target and actual portfolio weights, but also tracks total return, portfolio value, and realized volatility. This isn't just data. It's feedback. Retail traders can see, in real-time, whether their actual portfolio volatility matches their target, whether their risk-adjusted returns are improving, and whether their allocation discipline is holding. This transparency transforms abstract concepts into concrete metrics. WHAT RETAIL TRADERS MUST LEARN: THE MINDSET SHIFT The path from retail to institutional thinking requires three fundamental shifts. First, stop thinking in positions and start thinking in portfolios. Your question should never be "Should I buy this stock?" but rather "How does this position change my portfolio's expected return and volatility?" If you can't answer that question quantitatively, you're not ready to make the trade. Second, embrace systematic rebalancing even when it feels wrong. Perhaps especially when it feels wrong. The Efficiente 5 strategy rebalances monthly regardless of market conditions. If equities have surged and now exceed their target weight, the strategy sells equities and buys bonds or alternatives. Every retail trader knows this is what you "should" do, but almost none actually do it. The institutional edge isn't in having better information. It's in having better discipline (Swensen, 2009). Third, accept that volatility is not your friend. The retail mythology that "higher risk equals higher returns" is true on average across assets, but it's not true for implementation. A 15% return with 30% volatility will compound more slowly than a 12% return with 10% volatility due to the mathematics of return distributions. Institutions figured this out decades ago. Retail is still learning. The Efficiente 5 replication indicator provides a bridge. It won't solve the problem of prediction no indicator can. But it solves the problem of allocation, which is arguably more important. By implementing institutional methodology in an accessible format, it allows retail traders to see what professional portfolio construction actually looks like, not in theory but in executable code. The the colorful lines that retail traders love to draw, don't disappear. They simply become less central to the process. The portfolio becomes central instead. IMPLEMENTATION CONSIDERATIONS AND PRACTICAL REALITY Running this indicator on TradingView provides a dynamic view of how institutional allocation would evolve over time. The labels on each asset class line show current weights, updated continuously as prices change and rebalancing occurs. The dashboard displays the full allocation across all thirteen ETFs, showing both target weights (what the optimization suggests) and actual weights (what the portfolio currently holds after price movements). Several key insights emerge from watching this process unfold. First, the strategy is not static. Weights change monthly as the optimization recalibrates to recent volatility and returns. What worked last month may not be optimal this month. Second, the strategy is not market-timing. It doesn't try to predict whether stocks will rise or fall. It simply measures recent behavior and positions accordingly. If volatility has risen, the strategy shifts toward defensive assets. If correlations have changed, the diversification benefits adjust. Third, and perhaps most importantly for retail traders, the strategy demonstrates that sophistication and complexity are not synonyms. The Efficiente 5 methodology is sophisticated in its framework but simple in its execution. There are no exotic derivatives, no complex market-timing rules, no predictions of future scenarios. Just systematic optimization, monthly rebalancing, and discipline. This simplicity is a feature, not a bug. The indicator also highlights limitations that retail traders must understand. The Pine Script implementation uses an approximation of true mean-variance optimization, as discussed earlier. Transaction costs are not modeled. Slippage is ignored. Tax implications are not considered. These simplifications mean the indicator is educational and analytical, not a fully operational trading system. For actual implementation, traders would need to account for these real-world factors. Moreover, the strategy requires access to all thirteen ETFs and sufficient capital to hold meaningful positions in each. With 5% as the rounding increment, practical implementation probably requires at least $10,000 to avoid having positions that are too small to matter. The strategy is also explicitly designed for a 5% volatility target, which may be too conservative for younger investors with long time horizons or too aggressive for retirees living off their portfolio. The framework is adaptable, but adaptation requires understanding the trade-offs. CAN RETAIL TRULY COMPETE WITH INSTITUTIONS? The honest answer is nuanced. Retail traders will never have the same resources as institutions. They won't have Bloomberg terminals, proprietary research, or armies of analysts. But in portfolio construction, the resource gap matters less than the mindset gap. The mathematics of Markowitz are available to everyone. ETFs provide liquid, low-cost access to institutional-quality building blocks. Computing power is essentially free. The barriers are not technological or financial. They're conceptual. If a retail trader understands why portfolios matter more than positions, why systematic discipline beats discretionary emotion, and why volatility management enables compounding, they can build portfolios that rival institutional allocation in their elegance and effectiveness. Not in their scale, not in their execution costs, but in their conceptual soundness. The Efficiente 5 framework proves this is possible. What retail traders must recognize is that competing with institutions doesn't mean day-trading better than their algorithms. It means portfolio-building better than their average client. And that's achievable because most institutional clients, despite having access to the best managers, still make emotional decisions, chase performance, and abandon strategies at the worst possible times. The retail edge isn't in outsmarting professionals. It's in out-disciplining amateurs who happen to have more money. The J.P. Morgan Efficiente 5 Index Replication indicator serves as both a tool and a teacher. As a tool, it provides a systematic framework for multi-asset allocation based on proven institutional methodology. As a teacher, it demonstrates daily what portfolio thinking actually looks like in practice. The colorful lines remain on the chart, but they're no longer the focus. The portfolio is the focus. The risk-adjusted return is the focus. The systematic discipline is the focus. Stop painting lines. Start building portfolios. The institutions have been doing it for seventy years. It's time retail caught up. REFERENCES Arnott, R. D., Hsu, J., & Moore, P. (2013). Fundamental Indexation. Financial Analysts Journal, 61(2), 83-99. Bernstein, W. J. (1996). The Intelligent Asset Allocator. New York: McGraw-Hill. Dalbar, Inc. (2020). Quantitative Analysis of Investor Behavior. Boston: Dalbar. Damodaran, A. (2008). Strategic Risk Taking: A Framework for Risk Management. Upper Saddle River: Pearson Education. Elton, E. J., Gruber, M. J., Brown, S. J., & Goetzmann, W. N. (2014). Modern Portfolio Theory and Investment Analysis (9th ed.). Hoboken: John Wiley & Sons. Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3-56. Jorion, P. (1992). Portfolio optimization in practice. Financial Analysts Journal, 48(1), 68-74. J.P. Morgan Asset Management. (2016). Guide to the Markets. New York: J.P. Morgan. Jungle Rock. (2025). Institutional Asset Allocation meets the Efficient Frontier: Replicating the JPMorgan Efficiente 5 Strategy. Working Paper. Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263-291. Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77-91. Markowitz, H. (1959). Portfolio Selection: Efficient Diversification of Investments. New York: John Wiley & Sons. Swensen, D. F. (2009). Pioneering Portfolio Management: An Unconventional Approach to Institutional Investment. New York: Free Press.
Indicatore Pine Script®
di EdgeTools
Yield Curve RegimesCurrently we are seeing equities and all other risk assets rallying to new all time high. But when will this stop? There are multiple risks/signals i am monitoring to stay at the right side of the macro trade. Macro is everything: “When you get the Big-Picture wrong you wont live long.” So lets go through a major risk that could be the catalyst for the next deeper correction Capital needs to begin to move BACK across the risk curve as the yield curve steepens. We don't know if the source of the the crash will be from bear steepening or bull steepening because its unclear if long end rates blowing out will be the source of the crash. If the Fed continues to make the policy error of being overly accommodative at this high level of nominal GDP + Inflation risk, the long end of the curve will price this. Simple: If the Fed is to lose the long end can move up to price the inflation risk, which could ultimately pull risk assets down. We have not seen this yet because the last inflation prints came in flat, but I expect these to come in higher over the next 6 months. This means watching long end rates and their potential drag on equities will be critical. We are not seeing this yet as the Russell is sitting at all time highs and capital continues to move into low quality factors. Look where the long end is moving + the attribution analysis for the move. → Down growth risk → Up Inflation risk + look what the 2s10s & the 10s30 are pricing and how these changes in the curve connect to the current yield curve regimes. You can get the Trading view Skript 100% free here
Indicatore Pine Script®
di The-white-goat
FX Realized Volatility *The downward signal for Euqities!?*The Russel 2000 put in a new ath today as capital is moving further out the risk curve. Risk-Assets continue to rally to the upside. This will last until we see a lasting driver happening on a real time basis that drag pull equties down When volatility rises, we need to see the DRIVER of the volatility have persistence behind it as opposed to one off shocks. We are not there yet as volatility in FX and bonds continues to compress since the April lows in equities. Equities will continue to rally until long end yields blow out or the carry trade unwinds. Long end yields blowing out is not occuring on an imminent basis but the FX side of things could be a significant risk soon. Its all about: When will that liquidity beginn to create inflation or a problem in the currency Monitoring the equity vol, Bond vol and FX volatiliy is crucial here You can watch them via: VIX, Move, + i build an Trading view modell which conducts the vol of the major FX pairs. (its 100% free) If you just want it simple, just look at USD & EUR vol as they are the most trades foreign exchange currencies. Watching these 2 Risks (Vol & long-end) will put you upfront most people in the market. Once we see information in the underlying economy shifting i will adjust my views as they relate to every major asset class. But for now we are likely moving higher in basically every risky asset. **Feel free to ask me any questions**
Indicatore Pine Script®
di The-white-goat
FCBI Brake PressureBrake Pressure (FCBI − USIRYY) Concept The Brake Pressure indicator quantifies whether the bond market is braking or releasing liquidity relative to real yields (USIRYY). It is derived from the Financial-Conditions Brake Index (FCBI) and expresses the balance between long-term yield pressure and real-rate dynamics. Formula Brake Pressure = FCBI − USIRYY where FCBI = (US10Y) − (USINTR) − (CPI YoY) Purpose While FCBI measures the intensity of financial-condition pressure, Brake Pressure shows when that brake is being applied or released. It captures the turning point of liquidity transmission in the financial system. How to Read Brake Pressure < 0 (orange) → Brake engaged → financial conditions tighter than real-rate baseline; liquidity constrained. Brake Pressure ≈ 0 → Neutral zone → transition phase between tightening and easing. Brake Pressure > 0 (teal) → Brake released → financial conditions looser than real-rate baseline; liquidity flows freely → late-cycle setup before recession. Zero-Cross Logic Cross ↑ above 0 → FCBI > USIRYY → brake released → liquidity acceleration → typically 6–18 months before recession. Cross ↓ below 0 → FCBI < USIRYY → brake re-engaged → tightening resumes. Historical Behavior Each major U.S. recession (2001, 2008, 2020) was preceded by a Brake Pressure cross above zero after a negative phase, signaling that long yields had stopped resisting Fed cuts and liquidity was expanding. Practical Use • Identify late-cycle turning points and liquidity inflection phases. • Combine with FCBI for a complete macro transmission picture. • Watch for sustained positive readings as early macro-recession warnings. Current Example (Oct 2025) FCBI ≈ −3.1, USIRYY ≈ +3.0 → Brake Pressure ≈ −6.1 → Brake still engaged. When this crosses above 0, it signals that liquidity is free flowing and the recession countdown has begun. Summary FCBI shows how tight the brake is. Brake Pressure shows when the brake releases. When Brake Pressure > 0, the system has entered the liquidity-expansion phase that historically precedes a U.S. recession.
Indicatore Pine Script®
di AMTrader
Financial-Conditions Brake Index (FCBI) — US10Y brake on USIRYYFinancial-Conditions Brake Index (FCBI) – US10Y Brake on USIRYY Concept The Financial-Conditions Brake Index (FCBI) measures how U.S. long-term yields (US10Y) interact with the Federal Funds Rate (USINTR) and inflation (CPI YoY) to shape real-rate conditions (USIRYY). It visualizes whether the bond market is tightening or loosening overall financial conditions relative to the Federal Reserve’s policy stance. Formula FCBI = (US10Y) − (USINTR) − (CPI YoY) How It Works The FCBI expresses the difference between the long-term yield curve and short-term policy rates, adjusted for inflation. It shows whether the long end of the curve is amplifying or counteracting the Fed’s stance. FCBI > +2 → Strong brake → Long yields remain elevated despite easing → tight conditions → recession delayed. FCBI +1 to +2 → Mild brake → Financial transmission slower; lag ≈ 12–18 months. FCBI 0 to +1 → Neutral → Typical early post-cut environment. FCBI < 0 → Accelerator → Long yields and inflation expectations falling → liquidity flows freely → recession often follows within 6–14 months. How to Read the Chart Blue line (FCBI) shows the strength of the financial brake. Red line (USIRYY) represents the real yield baseline. Recession shading (gray) marks NBER recessions for comparison. FCBI < USIRYY → Brake engaged → financial conditions tighter than real-rate baseline. FCBI > USIRYY → Brake released → long end easing faster than policy → liquidity surge → late-cycle setup. Historically, U.S. recessions begin on average about 14 months after the first Fed rate cut, and a decline of the FCBI below zero often precedes that window. Practical Use Use the FCBI to identify when policy transmission is blocked (brake engaged) or flowing (brake released). Cross-check with yield-curve inversions, Fed policy shifts, and inflation expectations to estimate macro timing windows. Current Example (Oct 2025) FCBI ≈ −3.1, USIRYY ≈ +3.0 → Brake still engaged. Once FCBI rises above USIRYY and crosses positive, it signals the “brake released” phase — historically the final liquidity surge before a U.S. recession. Summary FCBI shows how tight the brake is. USIRYY shows how fast the car is moving. When FCBI rises above USIRYY, the brake is released — liquidity accelerates and the historical recession countdown begins.
Indicatore Pine Script®
di AMTrader
Multi-Condition Alert Builder⚡ Multi-Condition Alert Builder — Modular Alert Framework The Multi-Condition Alert Builder is a powerful, code-free alert engine for TradingView. It allows traders to build complex multi-condition Buy/Sell alerts using simple dropdown menus — no Pine Script experience required. Combine up to five separate conditions per side and trigger alerts based on your own custom logic. 🧠 How It Works Each “Buy” and “Sell” side includes up to five configurable slots, where you can define: Two data sources (indicators, price, or custom inputs) A comparison or crossover condition A static value (optional) Once your slots are defined, the script combines these individual conditions according to your chosen mode: Any – triggers when any enabled condition is true All – same bar – triggers only when all enabled conditions occur on the same bar All – within bars – allows conditions to complete within a user-defined lookback window This gives traders fine-grained control to design powerful, adaptive alert logic directly in the chart — no coding required. ⚙️ Key Features 🧩 Up to 5 Buy and 5 Sell Slots – Fully customizable condition slots 🧠 Combine Logic Modes – Any / All / Within Bars flexibility 🔔 Custom Alerts – Generates separate Buy, Sell, or combined alert events ⏱️ Close-Bar Confirmation Option – Avoids premature signals on open candles 💡 Visual Signals – Plots arrows on chart for clear alert visualization 🔄 Indicator-Agnostic – Works with any sources or indicators available in your chart 🧮 Combine Logic Modes Explained Mode Description Any Triggers an alert if any active condition is met All – same bar Requires all active slots to confirm on the same candle All – within bars Conditions may complete within a set lookback window 🧭 Example Use Cases Combine RSI, MACD, and MA crossovers for precision entries Create alert triggers for momentum confluence setups Build “stacked signal” logic (e.g., RSI < 30 and MACD crossover within 3 bars) Quickly prototype and test multi-factor alert conditions 🧠 Usage Tip Once your conditions are set, simply add TradingView alerts tied to: “BUY↟” for long signals “SELL↡” for short signals “ANY ALERT” to trigger on either event The Alert Builder becomes especially powerful when combined with your favorite custom indicators — enabling smart, automated alerts without extra coding. ⚡ In Short Build. Combine. Alert. The Multi-Condition Alert Builder gives you total flexibility to design complex alert logic — visually, intuitively, and efficiently — right on your chart.
Indicatore Pine Script®
di Bmaloney
Bollinger Band Width Oscillator %🧠 Bollinger Band Width Oscillator % The Bollinger Band Width Oscillator % is a volatility-focused tool that measures the relative width of Bollinger Bands and transforms it into an oscillator format. It helps traders visualize volatility expansions and contractions directly in an indicator pane — a powerful way to anticipate breakout or consolidation phases. 🔍 How It Works Band Width %: Calculates the percentage distance between the upper and lower Bollinger Bands relative to the basis (SMA). Smoothed Output: The raw bandwidth is smoothed using a moving average for cleaner, more stable signals. Dynamic Volatility Zones: The script automatically computes average, high, and low volatility thresholds — each dynamically adapting to market conditions. User-Adjustable Multipliers: Control how sensitive your high/low zones are with the High Zone Multiplier and Low Zone Multiplier inputs. ⚙️ Key Features 📊 Oscillator Format – Easy-to-read visualization of volatility compression and expansion. 🔥 High/Low Volatility Detection – Automatic labeling and color-coded alerts for shifts in volatility. 🧩 Dynamic Thresholds – Zones adjust automatically with market activity for adaptive sensitivity. 🧠 Hysteresis Logic – Prevents rapid signal flipping, improving clarity and reliability. 🎨 Custom Visuals – Adjustable smoothing and background highlights for quick interpretation. 📈 Trading Applications Identify Breakouts: Rising bandwidth often precedes price breakouts. Spot Consolidations: Low bandwidth indicates tightening volatility and potential range trades. Volatility Regime Analysis: Understand market rhythm and adapt strategies accordingly. ⚡ Inputs Parameter Description Band Length Period for Bollinger Band calculation Band Multiplier Standard deviation multiplier for the bands Source Price source (default: close) Smoothing Period for smoothing the oscillator line High Zone Multiplier Adjusts the high-volatility threshold Low Zone Multiplier Adjusts the low-volatility threshold Highlight Volatility Zones Optional background color overlay 🧊 Usage Tip Combine this indicator with momentum tools or price action analysis to confirm trade setups. Watch for transitions from low to high volatility zones — these often signal the beginning of major market moves.
Indicatore Pine Script®
di Bmaloney
Zarks 4H Range, 15M Triggers Pt1HTF Dividers + 4H Candle Structure + CRT Reference Tool 🔹 Vertical Blue Lines → represent divisions of the 4-hour timeframe, helping you visually segment intraday structure into HTF blocks. Green Dotted Line → marks the High of each 4-hour interval. 🔵 Blue Dotted Line → shows the Open of that 4-hour interval. ⚫ Gray Dotted Line → displays the Close of that 4-hour interval. 🔴 Red Dotted Line → highlights the Low of that 4-hour interval. 💡 CRT Concepts (Candle Range Theory by Romeo TPT) CRT signals are not direct buy/sell signals ❌💰 — they serve as contextual reference points 🧭. A high-probability setup often appears when: A 4H sweep of a previous candle’s high occurs 🐢 (liquidity manipulation), Followed by a bearish 15-minute close, Targeting the 50% retracement of that 4H candle’s range 🎯. 📊 Use this tool to frame market structure across timeframes, align entries with liquidity events, and visualize when price may be expanding from or reverting to institutional reference points. This indicator is meant to be combined with vertical lines on the 15 min time frame at corresponding times example 1:45,4:45,9:45
Indicatore Pine Script®
di Alexubc323
Zonar v1.5🟣 ZONAR v1.5 — Precision Market Mapping System ZONAR is a proprietary market-structure engine that fuses price-action logic, real-time trend adaptation, and algorithmic zone validation into one integrated framework. Unlike typical SMC indicators that simply draw order blocks or FVGs, Zonar reconstructs market intent by dynamically grading and updating structural zones as they evolve. 🧠 Core Logic Zonar’s engine continuously analyses three key dimensions of price movement: Hierarchical Market Structure Recognition — Detects higher-timeframe swing ranges, recalibrates the active trend, and synchronizes lower-timeframe structure shifts. Adaptive Zone Generation — Builds order-block, mitigation-block, and imbalance zones only when algorithmic displacement and retracement criteria are met — filtering out noise and redundant zones. Zone Integrity Tracking — Every plotted zone is validated, aged, and visually deactivated once mitigated or invalidated, giving traders a clean, self-updating chart environment. ⚙️ What Makes ZONAR Unique Proprietary Zone Logic: Combines displacement candles, body/-wick validation, and retracement confirmation to mark institutional footprints with higher precision. Dynamic Higher-Timeframe Context: Each zone aligns automatically with higher-timeframe BOS/CHOCH logic, updating the premium/discount bias in real time. OTE Mapping Engine: Integrates a built-in Optimized Trade Entry (61.8–79%) range, synchronized with structural swing highs/lows for accurate retracement targeting. Zone Lifecycle Visualization: Active zones transition through stages — valid → retraced → mitigated — visually represented with color fading and label updates. Smart Signal Output: Generates live entry, stop-loss, and multi-target projections (TP1–TP3) derived from each zone’s structure and directional bias. 🎯 How It Helps Zonar filters the chaos of price action into a clean, interpretable map — identifying where liquidity is engineered and where true institutional interest resides. It helps traders anticipate rather than react, focusing only on areas where probability, structure, and precision converge.
Indicatore Pine Script®
di Andrewr09
Signature [Pro+]Signature - Release Indicator Table Features: - Customizable indicator title display - Real-time clock with timezone support - 12-hour or 24-hour time format options - Toggle AM/PM display for 12-hour format - Individual text size control for clock - Ticker symbol display - Timeframe display - Flexible table positioning (9 positions available) - Customizable text colors, background colors, and border colors - Font family selection (Default or Monospace) - Individual control to enable/disable each element - Text alignment control (Left, Center, Right) Watermark Table Features: - Customizable header text - Customizable subtitle text - Current date display with multiple format options - Date month format: Full, Abbreviated, or Number - Date year format: Full or Abbreviated - Date separator options: dot, slash, dash, or space - Flexible table positioning (9 positions available) - Customizable text colors, background colors, and border colors - Font family selection (Default or Monospace) - Individual control to enable/disable each element - Text alignment control (Left, Center, Right) General Features: - Two independent tables that can be positioned anywhere - All styling consistent across both tables - Minimal and clean design - No performance impact on chart analysis - Text alignment options for both indicator and watermark tables
Indicatore Pine Script®
di chaesmt
Psychological Levels + Retest The script detects key round-number psychological levels such as 00, 50, and 100 zones based on the pair’s pip structure. It then monitors price behavior around these zones using customizable buffers to highlight reaction areas. When price breaks above a major or minor psychological level while trading above the 200 EMA, the indicator tracks for a retest confirmation. Once the required number of touches occurs within the defined buffer, the indicator marks the retest area and can trigger alerts for trade opportunities.
Indicatore Pine Script®
di quiendum
IDRISPAUL - Resistance OnlyThe script continuously scans recent price action to identify pivot highs that qualify as potential resistance zones. Once a resistance level is detected, the indicator: Draws a resistance box around the identified zone. Monitors for breakouts above that resistance. Tracks potential retests and confirms valid retests when price action revisits the broken level. Triggers alerts for each event: new resistance, breakout, potential retest, and confirmed retest. All levels and labels automatically update as the chart evolves
Indicatore Pine Script®
di quiendum