Empiece

Análisis fundamental

Peachain Asset Rotation System PeaChain Asset Rotation System is a rule-based framework designed to evaluate, rank, and rotate between multiple crypto assets based on relative strength and prevailing market conditions. The system continuously analyzes a predefined asset universe and assigns scores based on trend structure, momentum, and regime characteristics. The Asset Selection Table provides: – A comparative view of assets ranked by relative strength – Clear identification of the strongest and weakest candidates – Dynamic allocation signals based on score dominance – A systematic approach to capital rotation rather than static holding Instead of holding a fixed asset, the system reallocates exposure toward assets with the strongest conditions and reduces exposure when leadership deteriorates. This script is intended as a decision-support tool, helping traders understand where relative strength is concentrated at any given time. For analytical and educational purposes only. This script does not constitute financial advice.
Indicador Pine Script®
por peachchainsystems
Performance Table: Standard DCA | Last 6-12-24-48MThis indicator visualizes Standard Dollar-Cost Averaging (DCA) performance across multiple time horizons (6M, 12M, 24M, 48M). It summarizes invested capital, current portfolio value, net profit, and return percentage in a compact table, allowing quick comparison of short- and long-term DCA outcomes. Designed for long-term investors, it helps evaluate how consistent periodic investments perform over time without relying on market timing. The indicator is asset-agnostic and works on any symbol supported by TradingView. Key use cases: Long-term portfolio tracking DCA strategy validation Performance comparison across periods Educational and analytical purposes This tool focuses on clarity and realism, avoiding over-optimization and short-term noise. -- I hope this table helps investors better understand long-term DCA performance. Feedback and suggestions for improvement are always welcome.
Indicador Pine Script®
por sedatonat
Trappp's Advanced Multi-Timeframe Trading ToolkitTrappp's Advanced Multi-Timeframe Trading Toolkit This comprehensive trading script by Trappp provides a complete market analysis framework with multiple timeframe support and resistance levels. The indicator features: Key Levels: · Monthly (light blue dashed) and Weekly (gold dashed) levels for long-term context · Previous day high/low (yellow) with range display · Pivot-based support/resistance (pink dashed) · Premarket levels (blue) for pre-market activity Intraday Levels: · 1-minute opening candle (red) · 5-minute (white), 15-minute (green), and 30-minute (purple) session levels · All intraday levels extend right throughout the trading day Technical Features: · EMA 50/200 cross detection with alert labels · Candlestick pattern recognition near key levels · Smart proximity detection using ATR · Automatic daily/weekly/monthly updates Trappp's script is designed for traders who need immediate visual reference of critical price levels across multiple timeframes, helping identify potential breakouts, reversals, and pattern-based setups with clear, color-coded visuals for quick decision-making.
Indicador Pine Script®
por AntonioUA
NBS.v4old Precision Indicator An advanced gold trading indicator designed specifically for XAUUSD. It combines trend direction, smart momentum filtering, and key reaction zones to deliver high-probability buy and sell signals. The indicator helps traders avoid false entries during choppy markets and stay aligned with the dominant gold trend. Ideal for intraday and swing trading, with clear visual signals, adaptive behavior during news volatility, and strong performance on gold’s unique movements.
Indicador Pine Script®
por Iamtraderom
Key Levels ICT📊 ICT Sessions • Opens • HTF FVG Levels (EST) A complete ICT-style market structure toolkit designed for precision session trading and higher-timeframe confluence. This indicator plots key institutional reference levels used by ICT / Smart Money traders, all aligned in New York (EST) time, with automatic management, sweep logic, and clean visual structure. 🔹 Sessions High & Low Asia London New York Features: Exact session High & Low Lines extend dynamically to the present price Automatic sweep detection Line stops extending once liquidity is taken Adjustable number of previous sessions displayed Clean right-side labels 🔹 Market Opens True Day Open (00:00 EST) New York 8:30 Open Features: Dotted horizontal lines Only the latest open is displayed Automatically extended to the right Centered labels aligned with price 🔹 HTF Fair Value Gap Levels Supported timeframes: 15m 1h 4h Daily Features: HTF FVG detection using candle imbalance logic Line plotted from the exact HTF candle start time Level drawn at the closest price edge (not 50%) Lines extend forward in real time Automatic handling of mitigation: < 50% fill → line remains active ≥ 50% fill → level is fully removed Sweep logic cuts the line when liquidity is taken Optional stacking of labels when multiple HTF FVGs align Adjustable number of historical FVG levels kept on chart 🔧 Customization Timezone fixed to America/New_York (EST) Adjustable right-side extension length (candles) Custom colors & line thickness Optional session visibility Label positioning optimized for sweep visibility 🎯 Designed For ICT / Smart Money Concepts traders Session-based trading Liquidity sweep models HTF–LTF confluence execution Futures, Forex, Indices & Crypto
Indicador Pine Script®
por jss2020
@traderbinj ict essentialsHere is a professional, feature-rich description ready for you to copy and paste into the TradingView publishing window. I have structured it to highlight the unique behaviors (like the "Sweep" logic and the "Chart Precision" for gaps) so users understand why this script is superior to basic session indicators. Title: ICT Sessions, Liquidity & Gaps Description: This is a comprehensive, all-in-one toolkit designed specifically for ICT (Inner Circle Trader) and SMC (Smart Money Concepts) traders. It consolidates Session Timing, Liquidity Targets, High Timeframe Levels, and Opening Gaps into a single, clean, and highly customizable indicator. Unlike standard session indicators, this script focuses on chart cleanliness and price action logic. It features "Smart Labels" that move out of the way of price, "Sweep Logic" that cuts lines once liquidity is taken, and "WYSIWYG" precision for opening gaps. 🚀 Key Features 1. Smart Session Highs & Lows (with Sweep Logic) Automatically marks the Asia, London, and New York AM sessions. Sweep Logic: Session High/Low lines extend to the right as liquidity targets. However, the moment price sweeps (touches) a level, the line stops extending and "cuts" exactly at that candle. This keeps your chart clean and shows you exactly where liquidity was taken. Smart Labels: Labels float to the right of current price. When a sweep occurs, the label jumps to the left of the sweep candle so it never obscures the wick. Auto-Hide: Session boxes and lines automatically hide on timeframes higher than 1 Hour to prevent clutter. Box Toggle: You can now toggle the colored background boxes ON/OFF individually while keeping the High/Low lines active. 2. High Timeframe (HTF) Context PDH / PDL: Previous Day High & Low. PWH / PWL: Previous Week High & Low. Customizable: You can now change the line style (Solid, Dashed, Dotted) for these levels in the settings to match your preferred chart aesthetic. Note: These levels remain visible on ALL timeframes. 3. Opening Gaps (NWOG & NDOG) NWOG (New Week Opening Gap): Marks the gap between the previous week's close and the current week's open. Tracks the last 3 NWOGs (NWOG 1, 2, and 3). Includes settings to toggle NWOG 2 or 3 on/off individually. NDOG (New Day Opening Gap): Marks the gap between yesterday's close and today's open (shows latest only). Chart Precision: Uses visual chart data rather than HTF security calls to ensure lines anchor exactly to the candle bodies you see on your screen (Futures/Crypto friendly). Visuals: Displays clean lines for the Gap High and Low (no intrusive boxes). 4. Midnight Open (MNO) & Dividers MNO: Marks the exact Opening Price at 00:00 New York time. Logic ensures only the current day's MNO is shown (auto-deletes history). Daily Divider: A customizable vertical line drawn at 00:00 NY time to visually separate trading days. ⚙️ Settings & Customization Times: All times are hardcoded to UTC-5 (New York), so the indicator works correctly regardless of your local chart timezone. Visuals: Every color, line width, line style (Solid/Dashed/Dotted), and label size is fully customizable. Label Offset: Adjust how far the text labels sit from the lines to prevent overlapping. 🛠 How to Use Add the indicator to your chart (Works best on M1, M5, M15). Use the Session High/Low lines as immediate liquidity targets. Watch for Sweeps: If a line stops extending, that liquidity has been purged. Use NWOG/NDOG lines as key support/resistance zones or draw-on-liquidity. Reference PDH/PWH for higher timeframe bias. Disclaimer: This tool is for educational and informational purposes only and does not constitute financial advice.
Indicador Pine Script®
por maltcoinx
Cloud Matrix [CongTrader]Cloud Matrix – Ichimoku Confluence System Cloud Matrix is a rule-based Ichimoku confluence framework, designed to filter noise and low-probability setups by requiring multi-condition confirmation instead of single signals. Unlike traditional Ichimoku usage (visual interpretation), this script converts Ichimoku states into a matrix scoring model. Each setup is validated using 5 structural dimensions: • Tenkan–Kijun relationship • Price position vs Kumo • Kumo polarity (Span A vs Span B) • Chikou Span confirmation • Price vs Kijun acceptance Only when ≥ 3 conditions align, signals are allowed. 🔹 Signal Logic Cloud Matrix generates two validated signal types: • TK Cross Signals – Tenkan/Kijun crosses filtered by matrix confirmation • Kumo Break Signals – Breakouts confirmed by cloud structure and momentum context All signals can be configured to trigger on candle close to reduce noise and repainting. 🔹 Trend Alignment (Optional) An optional Higher Timeframe EMA200 filter is included: • Long signals only in HTF uptrend • Short signals only in HTF downtrend This improves consistency by preventing counter-trend trades. 🔹 Presets Built-in presets allow fast adaptation: • Traditional Ichimoku • Crypto Fast • Crypto Medium • Custom mode 🔹 Usage Use Cloud Matrix as a decision filter, not a buy/sell machine: identify trend → wait for TK cross or Kumo break → confirm matrix alignment → execute with price action and structure-based risk management...
Indicador Pine Script®
por CongTrader_
Ethe Pro - Liquidity & Whales v2🎯 Indicator Objective: To help you identify entry and exit opportunities more easily and clearly with direct visual signals. 📊 Indicator Components: 1. Core Indicators: PSI (Strength Indicator): · Based on RSI · 🟢 40-80: Safe buying zone · 🔴 Below 30 or above 70: Danger zone MXCD (Trend Indicator): · Based on CCI · 🟢 Positive = Bullish trend · 🔴 Negative = Bearish trend Momentum: · Speed of price movement · 🟢 Positive = Upward acceleration · 🔴 Negative = Downward acceleration 2. Visual Signals: 🔺 Buy Signals: · Strong Buy 🟢 (Large Green Label): · PSI between 45-65 ✅ · Positive MXCD ✅ · High trading volume ✅ · Regular Buy △ (Small Triangle): · Any of the above conditions 🔻 Sell Signals: · Strong Sell 🔴 (Large Red Label): · PSI below 25 or above 75 ✅ · Negative MXCD ✅ · High trading volume ✅ · Regular Sell ▽ (Small Triangle): · Any of the above conditions 3. Auxiliary Tools: Moving Averages: · Orange (EMA 9): Fast average · Blue (EMA 21): Slow average · Trend: Determines if market is bullish or bearish Support & Resistance: · Resistance 🔴: Highest price in 10 candles · Support 🟢: Lowest price in 10 candles 🎮 How to Use the Indicator: Step by Step: 1. Look for signals on the chart: · 🔺 Green triangle = Possible buy entry · 🔻 Red triangle = Possible sell entry 2. Check the table: · Confirm indicator alignment · Check overall market trend 3. Make a decision: · If strong signal + confirmed trend = Enter · If conflicting indicators = Wait Practical Examples: Example 1: Good Buy · 🔺 Strong buy signal · PSI: 55 🟢 · MXCD: 0.4 🟢 · Trend: Bullish 🟢 · Momentum: +2% 🟢 Example 2: Good Sell · 🔻 Strong sell signal · PSI: 80 🔴 · MXCD: -0.5 🔴 · Trend: Bearish 🔴 · Momentum: -3% 🔴 Example 3: Wait · No clear signal · PSI: 70 ⚠️ (on the edge) · MXCD: 0.1 ⚠️ (weak) · Trend: Sideways ⚠️ 💡 Usage Tips: Use the indicator with: · ✅ Candlestick analysis · ✅ Fundamental news · ✅ Capital management Avoid: · ❌ Relying on the indicator alone · ❌ Entering without stop loss · ❌ Trading against the overall trend ⚙️ Optimal Settings: For Sideways Markets: · Use regular signals △ ▽ · Focus on support & resistance areas For Trending Markets: · Use strong signals 🟢 🔴 · Follow moving average direction 🎯 New Features: 1. Clearer signals - Visible directly on the chart 2. Simpler conditions - More signals appear 3. Auxiliary indicators - Help with confirmation 4. Alerts - Notify you of strong signals The indicator is now more effective and easier to use! 🚀 👀 Visual Signals on the Chart: 🐋 Whale Buy: · Color: Gold · Shape: Large label · Text: 🐋 · Location: Below candle 🦈 Whale Sell: · Color: Purple · Shape: Large label · Text: 🦈 · Location: Above candle 📊 Alert Display in Table: In the table you'll see: · 🐋 Whale Buy: Yes/No · 🦈 Whale Sell: Yes/No · Whale Activity: 🔥 Very Active / ⚡ Active / 💡 Moderate / 💤 Calm 🎯 Whale Signal Conditions: For Whale Buy 🐋: · Trading volume 3x average ✅ · MXCD > 0.3 ✅ · PSI > 55 ✅ · Close price > Open price ✅ For Whale Sell 🦈: · Trading volume 3x average ✅ · MXCD < -0.3 ✅ · PSI < 45 ✅ · Close price < Open price ✅ 💡 Tips for Maximizing Alerts: For Instant Alerts: · Enable notifications on mobile · Use distinctive tone for whale alerts · Apply indicator to your important assets For Continuous Monitoring: · Regularly check the table · Watch whale activity levels · Monitor volume changes 🚨 When to Trust Whale Signals: Trust when: · ✅ Volume is huge (200%+) · ✅ Coincides with key levels · ✅ Confirmed by other indicators · ✅ Clear market trend Be cautious when: · ❌ Single signal without confirmation · ❌ During major news events · ❌ Against general trend ⚙️ To Activate Alerts: 1. Right-click on chart 2. Select "Add Alert" 3. In "Condition" section: · Select indicator name · Choose "Whale Buy" or "Whale Sell" 4. Set preferred alert method Now you'll receive alerts when whales move! 🎯
Indicador Pine Script®
por taiger18
TruTrend Market Bias PRO+ (Responsive)TruTrend Pro+ — Advanced Market Bias & Signal System TruTrend Pro+ is a premium, real-time trading system built to identify market bias, momentum shifts, and high-probability buy/sell opportunities with clarity and precision. Pro+ analyzes trend structure, momentum strength, volatility, and higher-timeframe alignment to filter out noise and highlight only the most meaningful moves. Signals update live and are designed to appear early enough to capture the move, while still maintaining confirmation to avoid chop. This is not a repainting indicator. Signals are generated in real time and adapt as price evolves. What Pro+ Helps You Do • Identify bullish vs bearish market bias • Catch momentum shifts and reversals • Stay aligned with the dominant trend • Avoid low-quality, sideways conditions • Enter with structure instead of emotion Designed For • Stocks • Crypto • Futures • Options • Forex Works across scalping, day trading, and swing trading on any timeframe. Access This script is Public & Invite-Only. To use Pro+, you must subscribe via the official access link below and enter your TradingView username to receive instant access. 🔐 Subscribe here: whop.com
Indicador Pine Script®
por TruTrendTV
Credit Cycle IndexThe Credit Cycle Index represents a systematic approach to measuring financial market conditions through the aggregation of multiple credit and risk metrics. This indicator draws conceptual inspiration from academic research on credit cycles and their relationship to asset returns, building on the work of Gilchrist and Zakrajsek (2012) who demonstrated that credit spreads contain significant predictive information about economic activity and equity market performance. The indicator synthesizes publicly available market data into a unified framework that captures shifts in financial conditions before they become apparent in price action. The theoretical foundation of credit cycle analysis rests on decades of research documenting the relationship between credit market conditions and asset returns. Bernanke and Gertler (1995) established the credit channel of monetary policy transmission, demonstrating how financial conditions amplify and propagate economic shocks through the broader economy. Schularick and Taylor (2012) documented how credit growth and credit conditions historically preceded major market dislocations, while Krishnamurthy and Muir (2017) showed that credit market variables exhibit predictable cyclical patterns that correlate with subsequent equity returns. These empirical findings suggest that monitoring credit conditions provides valuable information about the risk environment facing investors. Unlike sentiment indicators that employ contrarian logic based on the assumption that crowd psychology overshoots at extremes, the Credit Cycle Index operates on regime-based principles. Credit market conditions tend to persist rather than mean-revert quickly. Favorable credit conditions typically support continued risk asset performance, while deteriorating conditions often precede extended periods of weakness. This approach recognizes that credit cycles operate on different timescales than sentiment cycles and require different strategic responses. Methodology and calculation framework The methodology underlying the Credit Cycle Index incorporates statistical normalization techniques that transform raw market data into comparable standardized scores. Each component factor undergoes robust calculation using median absolute deviation to reduce sensitivity to outliers, a technique that proves particularly valuable during market stress when traditional standard deviation measures become unreliable. These normalized components aggregate using a weighting scheme that adjusts dynamically based on prevailing market conditions, with stress-sensitive components receiving increased weight during periods of elevated market vulnerability. The model produces values on a scale from zero to one hundred, where higher readings indicate favorable financial conditions and lower readings signal deteriorating conditions. Readings above seventy suggest healthy credit environments where risk assets typically perform well. The zone between forty and seventy represents normal conditions without strong directional bias. Readings below forty indicate meaningful stress, with values below twenty signaling crisis-level conditions across multiple components. The model incorporates quality filters designed to enhance signal reliability. A consensus filter examines whether multiple underlying components align in the same direction, adding weight to signals when broad agreement exists across different market factors. A momentum filter requires positive index momentum to persist for a minimum duration before confirming entry signals, preventing premature positioning during temporary rebounds within deteriorating environments. These refinements reduce the probability of acting on spurious readings. Professional application and portfolio integration Professional portfolio managers recognize the value of credit condition indicators as tools for risk management and tactical allocation. The fundamental insight underlying credit-based strategies is empirically robust: favorable credit conditions create supportive environments for risk assets, while deteriorating conditions warrant defensive positioning. Lopez-Salido, Stein and Zakrajsek (2017) found that credit market sentiment significantly predicts economic activity and asset returns, with their research suggesting that credit conditions lead equity market performance by several months. For institutional investors operating with fiduciary responsibilities, the Credit Cycle Index serves as one input in risk management frameworks. Asset managers might use deteriorating readings to trigger portfolio review processes, stress testing exercises, or adjustments to tactical allocation overlays. The indicator proves valuable when it diverges from prevailing market narratives, as such divergences often precede meaningful market inflections. Systematic investors can incorporate the index as a conditioning variable that adjusts position sizing based on the prevailing credit environment. The integration of credit analysis into investment practice finds support in the concept that credit markets often lead equity markets in recognizing fundamental shifts. Credit market participants including bond investors and lenders frequently possess informational advantages regarding corporate financial health and economic conditions. When credit conditions deteriorate, this often reflects information that has not yet fully incorporated into equity prices, creating opportunities for investors who monitor these signals systematically. Practical implementation for individual investors The practical implementation of the indicator follows straightforward principles. When the index rises into the favorable zone above seventy with quality filter confirmation, this suggests credit conditions support risk asset exposure. When the index falls below the caution threshold of forty, defensive positioning becomes appropriate. This could manifest as reducing equity allocations, increasing cash reserves, or implementing protective strategies. The zone between these thresholds suggests balanced conditions where other analytical frameworks should take precedence. Individual investors can derive benefit from the indicator by treating readings as alerts warranting examination of portfolio positioning. A reading in the favorable zone might prompt consideration of whether current equity exposure aligns with target allocations. A reading in the stress zone could trigger review of whether risk reduction measures merit consideration. The indicator should inform rather than dictate investment decisions, serving as one perspective within a broader analytical framework. The decision to implement a credit condition indicator within an investment process requires consideration of how it complements existing approaches. Fundamental investors can use credit readings to assess whether the risk environment supports their positioning. Technical analysts may find that credit conditions help contextualize price patterns, with favorable conditions adding conviction to bullish setups and deteriorating conditions warranting caution. Quantitative investors might incorporate credit factors into multi-factor models or use them to adjust position sizing. Trading behavior and strategy characteristics The Credit Cycle Index employs a regime-following methodology that differs from both trend following and contrarian approaches. The trading logic accumulates positions when credit conditions indicate favorable environments and reduces exposure when conditions deteriorate. This approach positions with prevailing credit market signals rather than against them, recognizing that credit conditions exhibit persistence. The observation that the indicator may signal favorable conditions while price volatility continues represents an inherent characteristic of regime-based strategies. When the indicator signals favorable conditions, this indicates that underlying credit metrics remain supportive despite surface-level price fluctuations. The indicator identifies phases where credit fundamentals support risk positioning, though short-term price movements may deviate from this underlying support. Potential users should understand this behavioral characteristic before implementation. The strategy will maintain risk exposure during favorable credit conditions even when equity prices experience temporary weakness. It will advocate defensive positioning during credit deterioration even when equity prices appear stable. Success requires trust in the underlying credit signals and willingness to accept that price action and credit conditions may temporarily diverge. Suitability and implementation requirements The Credit Cycle Index aligns appropriately with investors possessing specific characteristics. First, a medium to long term investment horizon proves essential. Credit cycles operate over weeks to months rather than days, and the strategy requires patience to capture regime shifts. Second, a risk management orientation that prioritizes avoiding large drawdowns suits the defensive nature of the indicator during stress periods. Third, comfort with systematic decision making helps maintain discipline when credit signals conflict with prevailing market narratives. The indicator proves less suitable for day traders seeking intraday signals, investors who prefer purely contrarian approaches, those requiring constant market exposure regardless of conditions, and individuals unable to tolerate periods when the indicator conflicts with price momentum. Institutional investors with strict benchmark tracking requirements may find the strategy incompatible with their mandates despite its risk management merits. For appropriate investors, the Credit Cycle Index offers a systematic framework for monitoring financial conditions and adjusting risk exposure accordingly. By providing an objective assessment of credit market health, the indicator helps investors recognize environment shifts and consider positioning adjustments when conditions warrant. The strategy demands patience and discipline but rewards those characteristics with the potential for improved risk-adjusted returns through drawdown reduction during stress periods. References Ang, A. and Timmermann, A. (2012) Regime changes and financial markets. Annual Review of Financial Economics, 4, pp. 313 to 337. Bernanke, B.S. and Gertler, M. (1995) Inside the black box: The credit channel of monetary policy transmission. Journal of Economic Perspectives, 9(4), pp. 27 to 48. Campbell, J.Y. and Thompson, S.B. (2008) Predicting excess stock returns out of sample: Can anything beat the historical average? The Review of Financial Studies, 21(4), pp. 1509 to 1531. Collin-Dufresne, P., Goldstein, R.S. and Martin, J.S. (2001) The determinants of credit spread changes. The Journal of Finance, 56(6), pp. 2177 to 2207. Gilchrist, S. and Zakrajsek, E. (2012) Credit spreads and business cycle fluctuations. American Economic Review, 102(4), pp. 1692 to 1720. Hamilton, J.D. (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), pp. 357 to 384. Krishnamurthy, A. and Muir, T. (2017) How credit cycles across a financial crisis. NBER Working Paper No. 23850. Lopez-Salido, D., Stein, J.C. and Zakrajsek, E. (2017) Credit-market sentiment and the business cycle. The Quarterly Journal of Economics, 132(3), pp. 1373 to 1426. Merton, R.C. (1974) On the pricing of corporate debt: The risk structure of interest rates. The Journal of Finance, 29(2), pp. 449 to 470. Schularick, M. and Taylor, A.M. (2012) Credit booms gone bust: Monetary policy, leverage cycles, and financial crises, 1870 to 2008. American Economic Review, 102(2), pp. 1029 to 1061.
Indicador Pine Script®Script de pago
por EdgeTools
Smart Money Sector RotationSTOP MISTAKING INFLATION FOR PERFORMANCE. Your PnL might look green in nominal terms, but are you actually generating wealth, or just floating on a rising tide of liquidity? The "Smart Money Sector Rotation" indicator is an institutional-grade dashboard designed to answer that single, critical question. It strips away the noise of nominal price action and benchmarks major assets against the "Honest Hurdle"—a dynamic baseline derived from M2 Money Supply, Inflation Breakevens, and Treasury Yields. If an asset isn't beating the Hurdle, you aren't generating real wealth—you're just keeping pace with debasement. THE HONEST FRAMEWORK Most screeners rank assets by simple percentage gain. This tool is different. It calculates a "Required Rate of Return" (Min Return) based on live Federal Reserve data (FRED). 1. Quantify the Debasement. We automatically fetch M2 Money Supply Growth and Inflation expectations to set the "floor." 2. Calculate Real Alpha. We measure how far an asset is trading above or below that floor. 3. Classify the Trend. Using RRG-style logic (Relative Rotation Graph), we categorize assets into four actionable phases based on their Real Yield and Momentum. THE 4 MARKET PHASES Instead of vague signals, get a clear read on the asset's lifecycle: ZONE 1: ELITE / LEADING (Cyan/Green) -- The State: Expansion. -- The Logic: The asset is generating positive Real Yields (beating the money printer) and has strong momentum relative to its peers. ZONE 2: IMPROVING (Gold) -- The State: Recovery. -- The Logic: The asset may be below the Hurdle, but momentum is shifting positively. It is "waking up." ZONE 3: LAGGING / WEAKENING (Orange/Red) -- The State: Contraction. -- The Logic: The asset is failing to keep up with debasement or is actively losing relative strength. KEY FEATURES -- Auto-Macro Data: Connects directly to FRED for M2 (WM2NS), 10Y Inflation (T10YIE), and Yields (DGS10). No manual entry required. -- Trend Visualization: Tickers are marked with Green/Red indicators based on their 200-day Moving Average status. -- Prestige Color System: A dark-mode optimized, high-contrast palette designed for professional clarity. -- Multi-Asset Universe: Tracks Equities (XLK, XLE, etc.), Commodities (Gold, Silver, Oil), and Rates (TLT, HYG) in a single view. HOW TO USE 1. Check the Header: Look at the "Min Ret" (Minimum Return). This is your beat-to-profit line. 2. Scan the Status: Focus on assets in the Elite or Leading zones for trend continuation. Watch Improving assets for potential reversals. 3. Respect the Trend: Use the SMA200 indicator as a final filter. A "Leading" status with a Red trend mark may indicate a trend that is rolling over. DISCLAIMER This tool is for informational and educational purposes only. It visualizes macroeconomic data and does not constitute financial advice or a recommendation to buy/sell.
Indicador Pine Script®
por TrendMatrix_Labs
Mismatch Strategy | Madrimov tradeTitle Mismatch Strategy by Madrimov trade – Gold vs DXY Impulse and Compression Description Concept This indicator is based on a cross-market mismatch principle between Gold (XAUUSD) and the US Dollar Index (DXY). It looks for situations where DXY expands aggressively while Gold temporarily fails to respond, creating a build-up of directional pressure that is often released once Gold breaks its short-term range. Methodology (High-Level Overview) The script evaluates three conditions on the same chart timeframe: DXY Impulse Detection A directional impulse on DXY is detected when the candle’s range exceeds a multiple of its ATR, indicating unusually strong participation rather than normal fluctuation. Gold Compression Filter At the same time, Gold must remain compressed, defined as a candle range significantly smaller than its own ATR. This represents under-reaction or absorption despite external pressure. Delayed Breakout Confirmation Trades are triggered only after the mismatch occurs and Gold subsequently breaks its recent high or low over a configurable lookback period. This delay avoids chasing impulses and focuses on release after compression. Why This Is Different Unlike traditional trend or correlation indicators, this script does not trade direction directly. Instead, it evaluates effort versus response across two related markets, filtering out low-quality momentum and false breakouts. The strategy focuses on: Cross-asset pressure imbalance Volatility-normalized conditions Sequential confirmation rather than instant signals How to Use Designed primarily for XAUUSD charts Works best on intraday timeframes (5m–15m) Signals are strongest when aligned with higher-timeframe bias Buy and sell signals are plotted directly on candles Optional RR visualization can be enabled for reference Limitations Not predictive; signals are generated after candle close Performance degrades during extremely low-liquidity or news-driven spikes Intended as a decision-support tool, not a standalone trading system
Indicador Pine Script®
por Madrimov_trade