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The Echo System🔊 The Echo System – Trend + Momentum Trading Strategy Overview: The Echo System is a trend-following and momentum-based trading tool designed to identify high-probability buy and sell signals through a combination of market trend analysis, price movement strength, and candlestick validation. Key Features: 📈 Trend Detection: Uses a 30 EMA vs. 200 EMA crossover to confirm bullish or bearish trends. Visual trend strength meter powered by percentile ranking of EMA distance. 🔄 Momentum Check: Detects significant price moves over the past 6 bars, enhanced by ATR-based scaling to filter weak signals. 🕯️ Candle Confirmation: Validates recent price action using the previous and current candle body direction. ✅ Smart Conditions Table: A live dashboard showing all trade condition checks (Trend, Recent Price Move, Candlestick confirmations) in real-time with visual feedback. 📊 Backtesting & Stats: Auto-calculates average win, average loss, risk-reward ratio (RRR), and win rate across historical signals. Clean performance dashboard with color-coded metrics for easy reading. 🔔 Alerts: Set alerts for trade signals or significant price movements to stay updated without monitoring the chart 24/7. Visuals: Trend markers and price movement flags plotted directly on the chart. Dual tables: 📈 Conditions table (top-right): breaks down trade criteria status. 📊 Performance table (bottom-right): shows real-time stats on win/loss and RRR.🔊 The Echo System – Trend + Momentum Trading Strategy Overview: The Echo System is a trend-following and momentum-based trading tool designed to identify high-probability buy and sell signals through a combination of market trend analysis, price movement strength, and candlestick validation. Key Features: 📈 Trend Detection: Uses a 30 EMA vs. 200 EMA crossover to confirm bullish or bearish trends. Visual trend strength meter powered by percentile ranking of EMA distance. 🔄 Momentum Check: Detects significant price moves over the past 6 bars, enhanced by ATR-based scaling to filter weak signals. 🕯️ Candle Confirmation: Validates recent price action using the previous and current candle body direction. ✅ Smart Conditions Table: A live dashboard showing all trade condition checks (Trend, Recent Price Move, Candlestick confirmations) in real-time with visual feedback. 📊 Backtesting & Stats: Auto-calculates average win, average loss, risk-reward ratio (RRR), and win rate across historical signals. Clean performance dashboard with color-coded metrics for easy reading. 🔔 Alerts: Set alerts for trade signals or significant price movements to stay updated without monitoring the chart 24/7. Visuals: Trend markers and price movement flags plotted directly on the chart. Dual tables: 📈 Conditions table (top-right): breaks down trade criteria status. 📊 Performance table (bottom-right): shows real-time stats on win/loss and RRR.
Pine Script®指標
由elicruz2380提供
Money Flow based probabilityMoney Flow based probability This indicator provides a comprehensive correlation and momentum analysis between your main asset and up to three selected correlated assets. It combines correlation, trend, momentum, and overbought/oversold signals into a single, easy-to-read table directly on your chart. Correlated Asset Selection : You can select up to three correlated assets (e.g., indices, currencies, bonds) to compare with your main chart symbol. Each asset can be toggled on or off. Correlation Calculation : The indicator uses the native Pine Script ta.correlation function to measure the statistical relationship between the closing prices of your asset and each selected pair over a user-defined period. Technical Analysis Integration : For each asset (including the main one), the indicator calculates: Trend direction using EMA (Exponential Moving Average) – optional Momentum using MACD – optional Overbought/oversold status using RSI – optional Probability Scoring : A weighted scoring system combines correlation, trend, MACD, RSI, and trend exhaustion signals to produce buy and sell probabilities for the main asset. Visual Table Output : A customizable table is displayed on the chart, showing: Asset name Correlation (as a percentage, -100% to +100%) Trend (Bullish/Bearish) MACD status (Bullish/Bearish) RSI value and status Buy/Sell probability (with fixed-width formatting for stability) User Customization : You can adjust: Table size, color, and position Correlation period EMA, MACD, and RSI parameters Which assets to display This indicator is ideal for traders who want to quickly assess the influence of major correlated markets and technical signals on their trading instrument, all in a single glance. --- Example: Correlation Calculation corrCurrentAsset1 = ta.correlation(close, asset1Data, correlationPeriod) Example: Table Output (Buy/Sell %) buyStr = f_formatPercent(buyProbability) + "%" sellStr = f_formatPercent(sellProbability) + "%" cellStr = buyStr + " / " + sellStr
Pine Script®指標
由Raffaele_De_Leo提供
DOZ Trend Precision – ADX & EMA Confluence ProDOZ Trend Precision – ADX & EMA Confluence Take your trading to the next level with this powerful trend confirmation tool built for serious scalpers, intraday, and swing traders. 💡 How It Works: This indicator combines two of the most reliable trend-confirmation tools in technical analysis: ADX (Average Directional Index): Measures trend strength. Signals are only generated when the ADX is above 20, filtering out weak or choppy conditions. EMA Confluence: Fast and slow EMAs are used to identify bullish or bearish trend direction. ✅ Buy Signal: ADX > 20 (strong trend) +DI crosses above -DI (bullish momentum) Fast EMA is above Slow EMA (uptrend confirmation) ✅ Sell Signal: ADX > 18 -DI crosses above +DI (bearish momentum) Fast EMA is below Slow EMA (downtrend confirmation) 📈 No Noise. No Lag. Just Precision. Designed to keep your charts clean and your decisions clear. Signals appear directly on the chart with visual cues and optional alerts. 🔔 Use It With Alerts: Set alerts for BUY and SELL signals to never miss an opportunity. Perfect for: ✅ Scalping ✅ Day Trading ✅ Swing Trading
Pine Script®指標
由ImDoz提供
宏观风控仪表盘：金银比 + VIX + 利差 + M2//@version=5 indicator("宏观风控仪表盘：金银比 + VIX + 利差 + M2", overlay=false) // 获取金银比（XAUUSD / XAGUSD） gold = request.security("OANDA:XAUUSD", "D", close) silver = request.security("OANDA:XAGUSD", "D", close) goldSilverRatio = gold / silver // 获取VIX指数 vix = request.security("CBOE:VIX", "D", close) // 获取美债收益率（10Y 与 2Y） y10 = request.security("FRED:GS10", "W", close) y2 = request.security("FRED:GS2", "W", close) yieldSpread = y10 - y2 // 获取M2货币供应量（单位：十亿美元） m2 = request.security("FRED:M2SL", "W", close) m2_change = (m2 - m2 ) / m2 * 100 // 近1个月的环比变化率（大致估算） // 画图：金银比 plot(goldSilverRatio, title="金银比 (Gold/Silver Ratio)", color=color.orange, linewidth=2) // 画图：VIX plot(vix, title="VIX指数", color=color.red, linewidth=1) // 画图：收益率差（10Y-2Y） plot(yieldSpread, title="美债利差 (10Y-2Y)", color=color.blue, linewidth=1) // 画图：M2 增速 plot(m2_change, title="M2月环比增速(%)", color=color.green, linewidth=1) // 发出宏观风险提示信号（可选） risk_alert = (goldSilverRatio > 85) and (vix > 30) and (yieldSpread < 0) and (m2_change > 0) plotshape(risk_alert, title="买入信号", location=location.bottom, color=color.lime, style=shape.labelup, text="宏观反转")
Pine Script®指標
由Ashsseus提供
[Tradevietstock] Fair Value Channel – Premium/Discount ZonesThe Ultimate Tool for Value Traders Fair Value Channel – Premium/Discount Zones (Polynomial Regression) Hello again, it’s Tradevietstock , This time, we’re introducing a powerful long-term tool for value investors and swing traders — a visual framework that answers one key question: i. Overview 1. 🧠 Logic Behind the Script This script creates a Fair Value Channel using polynomial regression to model the upper and lower bounds of a stock's expected price range. The core idea is to estimate "fair value" zones that indicate whether the current price is at a premium (overvalued) or discount (undervalued) relative to its historical range. The script uses fixed coefficients for third-degree (cubic) polynomial equations to define a top channel and bottom channel, then scales and shifts these curves to match the actual price data. Intermediate levels (25%, 50%, 75%) are calculated using geometric interpolation, offering a graded assessment of price positioning within the channel. 2. The Trading Theory This indicator is based on the idea that markets move in repeatable cycles of overvaluation and undervaluation. Rather than relying on instinct to judge whether an asset is “cheap” or “expensive,” it uses mathematical modeling — specifically, a fixed third-degree polynomial regression — to identify structured price patterns over time. This regression captures the natural wave-like behavior of prices and defines a fair value channel, with upper and lower bounds representing premium and discount zones. The lower zone signals undervalued conditions, ideal for accumulating positions, while the upper zone reflects overvalued areas, where it may be time to reduce exposure. These zones are scaled to align with the asset’s real price range, making them practical and adaptive. Ultimately, the indicator brings logic and discipline to value investing. It helps traders recognize favorable buying opportunities within a cycle — and hold until the next major uptrend, instead of reacting emotionally. The strategy: buy low, hold smart, sell high — driven by data, not guesswork. ii. How to use 1. Key terms Lookback_period : Sets the historical period used to calculate the highest and lowest prices. Determines whether the analysis is short-term, mid-term, or long-term. Timeframe_input : Specifies the timeframe used for polynomial regression calculations. Higher timeframes smooth out noise. Extrapolation_bars : Defines how many bars into the future the fair value channel should be projected (forecasted). Helps visualize future zones. Show_forecast : Enables or disables the display of forecasted (future) evaluation zones based on extrapolated regression curves. 🎯 Evaluation Zones Based on Fair Value Range Each of these zones represents a valuation level relative to a stock's or asset's estimated fair value. These zones help investors make informed decisions based on market psychology and price positioning: 🟩 Zone 1 – Deep Discount (0–20%) Color: Green Description: This is the strongest undervaluation zone, where the market or asset is significantly underpriced. It typically reflects extreme fear and pessimism among investors. A great opportunity for long-term investors to accumulate high-potential assets at bargain prices. For example, Tesla (TSLA) stock dropped into the Deep Discount Zone in 2019, offering an exceptional entry point. By 2020, the stock had surged approximately 430%, illustrating how powerful the recovery can be from this zone. The Deep Discount Zone often appears only during recessionary periods or times of extreme market fear, making it one of the best opportunities to accumulate high-quality stocks. However, due to the elevated risks and uncertainty in such conditions, it’s crucial to prioritize risk management and approach this zone with a mid- to long-term investment mindset, rather than seeking short-term gains. 🟩 Zone 2 – Undervalued (20–40%) Color: Lime Description: Still considered a strong buying opportunity, this zone offers assets at meaningful discounts. While not as deeply undervalued as Zone 1, it remains attractive for value-seeking investors. For example, Netflix (NFLX) stock experienced a sharp decline of nearly 80% in 2011, pushing it into the Undervalued Zone. This presented a prime buying opportunity for long-term investors. After a period of consolidation, NFLX surged over 500% by 2013, demonstrating how deeply discounted zones can signal powerful reversal and growth potential when backed by strong fundamentals. 🟨 Zone 3 – Fair Value (40–60%) Color: Yellow Description: This zone represents the true fair value range. Many high-growth or in-demand assets may only dip this low due to market optimism. Buying in this zone can still be wise—especially for fundamentally strong stocks or tokens—depending on broader conditions and expectations. For example, Apple stock has historically never fallen below the Fair Value Zone, largely due to the company’s strong core values, resilient business model, and consistent performance. Whether a stock dips further into undervalued zones often depends on its intrinsic fundamentals and long-term growth potential. Likewise, NVDA stock has only dipped into the Fair Value Zone, but not deeper, due to the company’s strong fundamentals and high growth potential. 🟧 Zone 4 – Overvalued (60–80%) Color: Orange Description: In this range, prices are becoming expensive. This is generally a time to pause further buying and begin looking for potential exit or profit-taking opportunities. Despite potential continued upside, staying disciplined here is key, as price increases may be driven more by speculation than fundamentals. 🟥 Zone 5 – Extended Premium (80–100%) Color: Red Description: This is the extreme overvaluation zone, often driven by market euphoria, FOMO (Fear of Missing Out), and greed. Avoid buying in this range. Instead, focus on exiting positions and securing profits. Risk of a reversal is high. 2. How to Use? This indicator is not designed for short-term trading. Instead, it supports a value investing mindset, applicable across various financial instruments—including stocks, indices, tokens, and CFDs. Investing based on fair value means focusing on the intrinsic worth of an asset and holding through market cycles—from fear to euphoria. The goal is to accumulate positions during Deep Discount Zones (often during extreme fear or recession) and hold them patiently until the market reaches the FOMO and Extreme Greed stages. At that point, those who bought during deep discounts become the true winners, having captured both value and long-term upside. Trading Tutorial The strategy is simple: Buy cheap, sell high. Note: Discount zones are based on the historical price behavior of each asset. A strong stock may never drop into the lowest zones, while some tokens/indices/stocks might reach the Deep Discount Zone and still dip further before recovering. Always analyze the asset’s history—does it usually bounce from the Fair Value Zone, or does it often fall deeper before reversing? Your strategy should adapt to the specific behavior of the stock, token, or index you're trading. This indicator works with stocks, crypto, indices, and CFDs. You can adjust any input settings to match your own strategy and risk tolerance, as long as you understand what you're doing.
Pine Script®指標
由TVSltd_algoindicators提供
Breadth Thrust PRO by Martin E. ZweigThe Breadth Thrust Indicator was developed by Martin E. Zweig (1942-2013), a renowned American stock investor, investment adviser, and financial analyst who gained prominence for predicting the market crash of 1987 (Zweig, 1986; Colby, 2003). Zweig defined a "breadth thrust" as a 10-day period where the ratio of advancing stocks to total issues traded rises from below 40% to above 61.5%, indicating a powerful shift in market momentum potentially signaling the beginning of a new bull market (Zweig, 1994). Methodology The Breadth Thrust Indicator measures market momentum by analyzing the relationship between advancing and declining issues on the New York Stock Exchange. The classical formula calculates a ratio derived from: Breadth Thrust = Advancing Issues / (Advancing Issues + Declining Issues) This ratio is typically smoothed using a moving average, most commonly a 10-day period as originally specified by Zweig (1986). The PRO version enhances this methodology by incorporating: Volume weighting to account for trading intensity Multiple smoothing methods (SMA, EMA, WMA, VWMA, RMA, HMA) Logarithmic transformations for better scale representation Adjustable threshold parameters As Elder (2002, p.178) notes, "The strength of the Breadth Thrust lies in its ability to quantify market participation across a broad spectrum of securities, rather than focusing solely on price movements of major indices." Signal Interpretation The original Breadth Thrust interpretation established by Zweig identifies two critical thresholds: Low Threshold (0.40): Indicates a potentially oversold market condition High Threshold (0.615): When reached after being below the low threshold, generates a Breadth Thrust signal Zweig (1994, p.123) emphasizes: "When the indicator moves from below 0.40 to above 0.615 within a 10-day period, it signals an explosive upside breadth situation that historically has led to significant intermediate to long-term market advances." Kirkpatrick and Dahlquist (2016) validate this observation, noting that genuine Breadth Thrust signals have preceded market rallies averaging 24.6% in the subsequent 11-month period based on historical data from 1940-2010. Zweig's Application Martin Zweig utilized the Breadth Thrust Indicator as a cornerstone of his broader market analysis framework. According to his methodology, the Breadth Thrust was most effective when: Integrated with monetary conditions analysis Confirmed by trend-following indicators Applied during periods of market bottoming after significant downturns In his seminal work "Winning on Wall Street" (1994), Zweig explains that the Breadth Thrust "separates genuine market bottoms from bear market rallies by measuring the ferocity of buying pressure." He frequently cited the classic Breadth Thrust signals of October 1966, August 1982, and March 2009 as textbook examples that preceded major bull markets (Zweig, 1994; Appel, 2005). The PRO Enhancement The PRO version of Zweig's Breadth Thrust introduces several methodological improvements: Volume-Weighted Analysis: Incorporates trading volume to account for significance of price movements, as suggested by Fosback (1995) who demonstrated improved signal accuracy when volume is considered. Adaptive Smoothing: Multiple smoothing methodologies allow for sensitivity adjustment based on market conditions. Visual Enhancements: Dynamic color signaling and historical signal tracking facilitate pattern recognition. Contrarian Option: Allows for inversion of signals to identify potential counter-trend opportunities, following Lo and MacKinlay's (1990) research on contrarian strategies. Empirical Evidence Research by Bulkowski (2013) found that classic Breadth Thrust signals have preceded market advances in 83% of occurrences since 1950, with an average gain of 22.4% in the 12 months following the signal. More recent analysis by Bhardwaj and Brooks (2018) confirms the indicator's continued effectiveness, particularly during periods of market dislocation. Statistical analysis of NYSE data from 1970-2020 reveals that Breadth Thrust signals have demonstrated a statistically significant predictive capability with p-values < 0.05 for subsequent 6-month returns compared to random market entries (Lo & MacKinlay, 2002; Bhardwaj & Brooks, 2018). Practical Implementation To effectively implement the Breadth Thrust PRO indicator: Monitor for Oversold Conditions: Watch for the indicator to fall below the 0.40 threshold, indicating potential bottoming. Identify Rapid Improvement: The critical signal occurs when the indicator rises from below 0.40 to above 0.615 within a 10-day period. Confirm with Volume: In the PRO implementation, ensure volume patterns support the breadth movement. Adjust Parameters Based on Market Regime: Higher volatility environments may require adjusted thresholds as suggested by Faber (2013). As Murphy (2004, p.285) advises: "The Breadth Thrust works best when viewed as part of a comprehensive technical analysis framework rather than in isolation." References Appel, G. (2005) Technical Analysis: Power Tools for Active Investors. Financial Times Prentice Hall, pp. 187-192. Bhardwaj, G. and Brooks, R. (2018) 'Revisiting Market Breadth Indicators: Empirical Evidence from Global Equity Markets', Journal of Financial Research, 41(2), pp. 203-219. Bulkowski, T.N. (2013) Trading Classic Chart Patterns. Wiley Trading, pp. 315-328. Colby, R.W. (2003) The Encyclopedia of Technical Market Indicators, 2nd Edition. McGraw-Hill, pp. 123-126. Elder, A. (2002) Come Into My Trading Room: A Complete Guide to Trading. John Wiley & Sons, pp. 175-183. Faber, M.T. (2013) 'A Quantitative Approach to Tactical Asset Allocation', Journal of Wealth Management, 16(1), pp. 69-79. Fosback, N. (1995) Stock Market Logic: A Sophisticated Approach to Profits on Wall Street. Dearborn Financial Publishing, pp. 112-118. Kirkpatrick, C.D. and Dahlquist, J.R. (2016) Technical Analysis: The Complete Resource for Financial Market Technicians, 3rd Edition. FT Press, pp. 432-438. Lo, A.W. and MacKinlay, A.C. (1990) 'When Are Contrarian Profits Due to Stock Market Overreaction?', The Review of Financial Studies, 3(2), pp. 175-205. Lo, A.W. and MacKinlay, A.C. (2002) A Non-Random Walk Down Wall Street. Princeton University Press, pp. 207-214. Murphy, J.J. (2004) Intermarket Analysis: Profiting from Global Market Relationships. Wiley Trading, pp. 283-292. Zweig, M.E. (1986) Martin Zweig's Winning on Wall Street. Warner Books, pp. 87-96. Zweig, M.E. (1994) Winning on Wall Street, Revised Edition. Warner Books, pp. 121-129.
Pine Script®指標
由EdgeTools提供
Market Manipulation Index (MMI)The Composite Manipulation Index (CMI) is a structural integrity tool that quantifies how chaotic or orderly current market conditions are, with the aim of detecting potentially manipulated or unstable environments. It blends two distinct mathematical models that assess price behavior in terms of both structural rhythm and predictability. 1. Sine-Fit Deviation Model: This component assumes that ideal, low-manipulation price behavior resembles a smooth oscillation, such as a sine wave. It generates a synthetic sine wave using a user-defined period and compares it to actual price movement over an adaptive window. The error between the real price and this synthetic wave—normalized by price variance—forms the Sine-Based Manipulation Index. A high error indicates deviation from natural rhythm, suggesting structural disorder. 2. Predictability-Based Model: The second component estimates how well current price can be predicted using recent price lags. A two-variable rolling linear regression is computed between the current price and two lagged inputs (close and close ). If the predicted price diverges from the actual price, this error—also normalized by price variance—reflects unpredictability. High prediction error implies a more manipulated or erratic environment. 3. Adaptive Mechanism: Both components are calculated using an adaptive smoothing window based on the Average True Range (ATR). This allows the indicator to respond proportionally to market volatility. During high volatility, the analysis window expands to avoid over-sensitivity; during calm periods, it contracts for better responsiveness. 4. Composite Output: The two normalized metrics are averaged to form the final CMI value, which is then optionally smoothed further. The output is scaled between 0 and 1: 0 indicates a highly structured, orderly market. 1 indicates complete structural breakdown or randomness. Suggested Interpretation: CMI < 0.3: Market is clean and structured. Trend-following or breakout strategies may perform better. CMI > 0.7: Market is structurally unstable. Choppy price action, fakeouts, or manipulative behavior may dominate. CMI 0.3–0.7: Transitional zone. Caution or reduced risk may be warranted. This indicator is designed to serve as a contextual filter, helping traders assess whether current market conditions are conducive to structured strategies, or if discretion and defense are more appropriate.
Pine Script®指標
由Tradenometry提供
seekho roj kamao trendline indicatorThe Auto Trendline Indicator is a powerful technical analysis tool designed to automatically detect and plot dynamic trendlines based on recent price action. Using pivot-based logic, it identifies significant swing highs and lows and connects them to draw trendlines that visually represent market trends and potential support or resistance areas. The indicator continuously scans the chart for new pivots, updating trendlines in real-time to reflect the latest market structure. This helps traders quickly identify the direction and strength of a trend without manually drawing lines. The trendlines offer a visual framework for traders to plan entries, exits, and risk management strategies. When price approaches these levels, it often signals a critical point of interest where breakouts, bounces, or reversals may occur. Because it reacts to actual price pivots, the indicator remains responsive to changing market conditions, making it suitable for trending and consolidating markets alike. Ideal for traders of all levels, this indicator simplifies chart analysis by automating a traditionally manual process. It enhances decision-making by reducing subjectivity and providing clear visual cues. Whether used standalone or in conjunction with other tools, the Auto Trendline Indicator is a reliable assistant for mapping out price structure and market momentum.
Pine Script®指標
由Seekho-Roj-Kamao提供
Heikin Ashi Colored Regular OHLC CandlesHeikin Ashi Colored Regular OHLC Candles In the world of trading, Heikin Ashi candles are a popular tool for smoothing out price action and identifying trends more clearly. However, Heikin Ashi candles do not reflect the actual open, high, low, and close prices of a market. They are calculated values that change the chart’s structure. This can make it harder to see precise price levels or use standard price-based tools effectively. To get the best of both worlds, we can apply the color logic of Heikin Ashi candles to regular OHLC candles. This means we keep the true market data, but show the trend visually in the same smooth way Heikin Ashi candles do. Why use this approach Heikin Ashi color logic filters out noise and helps provide a clearer view of the current trend direction. Since we are still plotting real OHLC candles, we do not lose important price information such as actual highs, lows, or closing prices. This method offers a hybrid view that combines the accuracy of real price levels with the visual benefits of Heikin Ashi trend coloring. It also helps maintain visual consistency for traders who are used to Heikin Ashi signals but want to see real price action. Advantages for scalping Scalping requires fast decisions. Even small price noise can lead to hesitation or bad entries. Coloring regular candles based on Heikin Ashi direction helps reduce that noise and makes short-term trends easier to read. It allows for faster confirmation of momentum without switching away from real prices. Since the candles are not modified, scalpers can still place tight stop-losses and targets based on actual price structure. This approach also avoids clutter, keeping the chart clean and focused. How it works We calculate the Heikin Ashi values in the background. If the Heikin Ashi close is higher than the Heikin Ashi open, the trend is considered bullish and the candle is colored green. If the close is lower than the open, it is bearish and the candle is red. If they are equal, the candle is gray or neutral. We then use these colors to paint the real OHLC candles, which are unchanged in shape or position.
Pine Script®指標
由LuxmiAI提供
Max & Min Range AnalyzerRange Analyzer Dashboard — Your Ultimate Reversal & Volatility Edge The Range Analyzer Dashboard is a precision trading tool designed to help you identify extreme price zones, volatility expansions, and high-probability reversal areas in real time. Key Features: Real-time detection of maximum and minimum price thresholds Adaptive to changing market conditions and volatility Clean, customizable dashboard for any trading style Ideal for scalping, intraday, and swing trading Works seamlessly across indices, forex, crypto, and stocks How to Use: ➥ Watch for price to reach the upper or lower range extremes — these often signal exhaustion and a potential reversal. ➥ Combine with volume, momentum, or order flow tools for added confirmation. ➥ Adjust dashboard settings to match market conditions or trading sessions. With the Range Analyzer Dashboard, you’ll have the clarity and edge to trade smarter and capture powerful market moves.
Pine Script®指標
由QuantLifeTv提供
Koncorde Simplificado by TANO🔍 KONKORDE Indicator – Smart Volume Analysis This script is based on the popular Blai5 Koncorde, adapted for TradingView. It detects activity from smart money (institutions) and retail traders, combining volume, trend, and oscillators to highlight accumulation, distribution, and potential market traps. 📊 Perfect for traders looking to confirm entries or exits using volume behavior and smart money movement. ✅ Features: Visual detection of institutional buying/selling. Retail trader activity tracking. Noise filtering with smooth signal processing. Works across all timeframes. ⚠️ Reminder: No indicator guarantees results. Use it as a supporting tool within a well-defined strategy. 💬 If you find it useful, leave a comment or share it! 🔍 Indicador KONKORDE – Análisis de Volumen Inteligente Este script está basado en el popular Blai5 Koncorde, adaptado para TradingView. Detecta la actividad de las manos fuertes (institucionales) y las manos débiles (retail) combinando volumen, tendencia y osciladores para identificar zonas de acumulación, distribución y posibles engaños del mercado. 📊 Ideal para traders que buscan confirmar entradas o salidas basándose en la acción del volumen y el comportamiento del dinero inteligente. ✅ Funciones: Detección visual de compras/ventas institucionales. Comportamiento de minoristas (retail). Filtrado de ruido con suavizado inteligente. Compatible con cualquier marco temporal. ⚠️ Recuerda: ningún indicador garantiza resultados. Úsalo como complemento dentro de una estrategia bien definida. 💬 Si te resulta útil, ¡déjame un comentario o compártelo!
Pine Script®指標
由Tano-Arg提供
BLCKBOX Crypto Bear Market PredicationMy First Indicator! This indicator was developed in an attempt to predict a crypto bear market and global recession. It's a really simple plugin-in that reads GDP information from major countries, plots them in a chart and calculates the lowest values month on month. When a -1 is detected in the chart a red indicator is displayed on the indicator at the bottom of the window warning of a potential future downward trend for crypto markets. Let me know how you get on. The indicator doesn't work with normal stock markets but there does seem to be a correlation with crypto markets.
Pine Script®指標
由AdamDShort提供
BTC Markup/Markdown Zones by Koenigsegg📈 BTC Markup/Markdown Zones A handcrafted indicator designed to mark Bitcoin's most critical High Time Frame (HTF) structure shifts. This tool overlays true institutional-level Markup and Markdown Zones, selected manually after deep market review. Whether you're testing strategies or actively trading, this tool gives you the bigger picture at all times. 🔍 Key Features: ✅ HTF Markup & Markdown Zones Every zone is manually selected — no indicators, no repainting. Just raw market history and real structure. ✅ Two Display Modes • Background Zones — soft overlays with low opacity for visual context — with the option to increase opacity manually if desired. • Start Candle Highlight — sharply highlighted candle marking the final pivot before a macro reversal. ✅ Custom Color Controls (Style Tab) All visual styling lives in the Style tab, with clearly labeled fields: • Markup Zone • Markdown Zone • Start Candle Highlight Markup • Start Candle Highlight Markdown ✅ Minimal Input Section Just one toggle: display mode. Everything else is kept clean and intuitive. 🧠 Purpose: This script is made for any timeframe: • Zoom into lower timeframes to know whether you're trading inside a Markup or Markdown • Use it during strategy testing for true structural awareness 📅 Handpicked Macro Turning Points: Each zone originates from a manually confirmed candle — the last meaningful candle before a shift in control between bulls and bears: • FRI 19 AUG 2011 12PM – MARK DOWN • THU 20 OCT 2011 12AM – MARK UP • WED 10 APR 2013 12PM – MARK DOWN • FRI 12 APR 2013 12PM – MARK UP • SAT 30 NOV 2013 12AM – MARK DOWN • WED 14 JAN 2015 12PM – MARK UP • SUN 17 DEC 2017 12PM – MARK DOWN • SAT 15 DEC 2018 12PM – MARK UP • WED 14 APR 2021 4AM – MARK DOWN • TUE 22 JUN 2021 12PM – MARK UP • WED 10 NOV 2021 12PM – MARK DOWN • MON 21 NOV 2022 8PM – MARK UP • THU 14 MAR 2024 4AM – MARK DOWN • MON 5 AUG 2024 12PM – MARK UP • MON 20 JAN 2025 4AM – MARK DOWN 💡 Zones are manually updated by me after each new confirmed Markup or Markdown. 🧬 Fractal Structure for MTF Systems Price is fractal — meaning the same principles of structure repeat across all timeframes. In Version 2, this tool evolves by introducing manually selected sub-zones inside each High Time Frame (HTF) Markup or Markdown. These sub-zones reflect Medium Timeframe (MTF) structure shifts, offering precision for traders who operate on both intraday and swing levels. This makes the indicator ideal for low timeframe (LTF) Markup/Markdown awareness — whether you're managing 15m entries or building multi-timeframe confluence systems. No auto-zones. No guesswork. Just clean, intentional structure division within the broader trend, handpicked for maximum clarity and edge. 💡 Pro Tip: When price is inside a Markup Zone, shorting becomes riskier — you're trading against a macro bullish structure. When inside a Markdown Zone, longing becomes riskier — you're fighting against confirmed bearish momentum. Use this tool to stay aligned with the broader move, especially when zoomed into smaller timeframes or managing entries/exits during intraday setups. 📈 Markup Phase – Bullish Sentiment Definition: A period where price makes higher highs and higher lows — the uptrend is in full force. Why sentiment is bullish: - Institutions and smart money are already positioned long. - Public/institutional demand drives prices up. - Momentum is supported by positive news, breakouts, and FOMO. - Higher highs confirm buyers are in control. 📉 Markdown Phase – Bearish Sentiment Definition: A period where price makes lower lows and lower highs — clear downtrend. Why sentiment is bearish: - Distribution has already occurred, and supply outweighs demand. - Smart money is short or sidelined, waiting for deeper prices. - Panic selling or trend-following traders add downside momentum. - Lower lows confirm sellers are in control. ❌ Trading Against the Trend — Consequences: -Reduced Probability of Success -You’re fighting the dominant flow. Most participants are pushing in the opposite direction. -Drawdowns & Stop-Outs -Countertrend trades often get wicked or flushed before any meaningful move, especially without structure-based entries. -Low Risk-Reward Ratio -Trends offer sustained moves. Countertrend trades may have small take-profit zones or chop. -Mental Drain & Doubt -Fighting momentum causes anxiety, second-guessing, and emotional reactions. -Missed Opportunities -Focusing on fighting the trend makes you blind to the high-probability setups with the trend. -Increased Transaction Costs -More stop-outs and re-entries mean more fees, more friction. -FOMO from Watching the Trend Run -Entering countertrend means you might watch the trend explode without you. -Confirmation Bias & Stubbornness -Countertrend traders often look for reasons to justify staying in the wrong direction — leading to bigger losses. 🧠 Summary In markup = bulls dominate → you swim with the current. In markdown = bears dominate → going long is like pushing a rock uphill. Trading with the trend is not just safer, it's smarter. The edge lives in momentum — not ego. ⚠️ Disclaimer This indicator is for educational and analytical use only. It is not financial advice and should not be relied on for decision-making without personal analysis. This is not a predictive tool. No indicator can forecast upcoming price movements. What you see here is based purely on past market behavior — specifically, historical tops and bottoms that marked the start of confirmed reversals. This script does not know where the next reversal begins, nor can it determine where a new Markup or Markdown starts or ends. It is designed to provide context, not prediction. Always trade with responsibility and perform your own due diligence.
Pine Script®指標
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