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Market Internals Dashboard: Trend, Breadth, Volume PressureOverview The Market Internals Dashboard Pro is a professional-grade toolkit modeled after what prop firms and institutional desks use to understand real intraday market conditions. Instead of relying solely on price, this indicator analyzes three critical internal forces: USI:TICK : Microstructure buying/selling pressure USI:ADD : Market breadth participation (advancers vs decliners proxy) USI:VOLD : Volume pressure (buying vs selling volume) These internals determine whether the market is: Trending or ranging Bullish or bearish Likely to follow through or mean-revert Favoring continuation trades or fade setups The script also produces a Market Environment Score (–3 to +3) and a real-time Trade Recommendation Table that updates every bar. This helps answer the single most important question in intraday trading: “What type of trades should I be taking right now given current market conditions?” 1. TICK Proxy: Microstructure Pressure Measures buying vs. selling aggressiveness across the market This proxy simulates the NYSE TICK index by evaluating whether bars close above or below the prior bar. Positive TICK → Buyers lifting offers Negative TICK → Sellers hitting bids Neutral TICK → No microstructure conviction Why it matters: Strong TICK is often the earliest sign of: Trend initiation Algorithmic buy/sell programs Shifts in short‑term sentiment Weak or choppy TICK often signals: Range conditions Failed breakouts Low‑quality trend attempts 2. ADD Proxy: Market Breadth Strength Shows how many stocks are participating in a move Because real USI:ADD data isn't available for all users, this script uses a self-contained breadth approximation built from: Price slope Volatility expansion Volume‑weighted directional pressure Why it matters? Breadth reveals whether the move is: Broad and healthy → likely to continue Narrow and weak → vulnerable to reversal Strong trends require strong breadth. Weak breadth often precedes: Failed breakouts Reversal setups Chop (ewww) 3. VOLD Proxy: Volume Pressure The most important internal of all. This proxy measures whether trading volume is flowing into up bars or down bars. Positive VOLD → Net buying pressure Negative VOLD → Net selling pressure Why it matters: VOLD is considered the "truth serum" of the tape: Strong VOLD drives trend days Negative VOLD kills long setups Mixed VOLD creates chop You should rarely trend trade against VOLD. 4. Market Environment Score (–3 to +3) The Environment Score combines the three internals into a single view: || Score || Interpretation || Market Type || | +3 | Strong Bull | Trend Day (Long) | | +2 | Bull | Pullback Buys / Breakout Continuation | | +1 | Mild Bull | Conservative Long Scalps | | 0 | Neutral | CHOP – VWAP Reversions / Fades | | -1 | Mild Bear | Short Failed Breakouts | | -2 | Bear | Trend Shorts / Breakdown Continuation | | -3 | Strong Bear | Trend Day (Short) | Why it matters: The market behaves differently depending on internal alignment. This score prevents traders from: Forcing trend trades on chop days Chasing breakouts when breadth is weak Fading strong directional days It tells you in real time whether conditions favor: Trend following Mean reversion Breakout continuation Liquidity grabs Or sitting out 5. Trade Recommendation Engine Based on the Environment Score, the indicator outputs a real-time playbook recommending which trade types have the highest probability of success right now. Examples: Score = 0 (Neutral) VWAP Reversions Liquidity Grabs Failed Breakouts Quick Scalps Score = +2/+3 (Strong Bull) Pullback Buys Breakout Continuation Trend Longs Score = -2/-3 (Strong Bear) Pullback Shorts Breakdown Continuation Trend Shorts Only This turns the internals into a trade selection engine, not just a data display. Why Market Internals Matter Most indicators look only at price, but price is the result, not the cause. Market internals show: Where volume is flowing Whether buying is aggressive or passive How many stocks are participating Whether algorithms are supporting or fighting the move This dashboard helps traders: Avoid chop Stay out of low‑quality setups Time entries with institutional flows Improve win rate by trading the right setups at the right times Final Notes Works on any symbol or timeframe Fully customizable colors Two clean visual tables: Internals + Trade Playbook Ideal for futures, ETFs, and options day traders If you enjoy this tool, please like, comment, or follow. More enhancements are coming. Trade smart.
Indicador Pine Script®
por HighTightFlags
Industry Group Strength (Custom ETFs)This script is a modified version of the 'Industry Group Strength' indicator. It enhances the 'Investment Trusts/Mutual Funds' category by incorporating a curated list of key Sector and Thematic ETFs (e.g., SMH, XBI, BLOK) for top-down market analysis. This allows traders to track broad sector rotation while retaining the original functionality of ranking individual stocks within their specific industries based on Relative Strength.
Indicador Pine Script®
por Randomnessfool
Quantrader📊 Overview This custom indicator combines intraday session analysis with multi-timeframe trend confirmation to identify high-probability trading opportunities. It features: Custom intraday session tracking (GMT+7 timezone) Multi-level moving average confluence (SMA 20, 100, 200) Bollinger Bands mean reversion signals Key intraday reference levels ⚙️ Core Components 1. Custom Intraday Session Tracking Session Start: 7:00 AM GMT+7 (Vietnamese market open) Calculates per session: Intraday High/Low (resets at 7:00 AM daily) Intraday Midline = (Session High + Session Low) / 2 Pre-Day Center = Previous day's midline (carried forward) Open Day = First 15-minute candle's open price 2. Trend Analysis Framework SMA 20 (Short-term momentum) SMA 100 (Medium-term trend) SMA 200 (Long-term trend direction) Bollinger Bands (20-period, 2 standard deviations) 3. Signal Detection Logic Bullish Mean Reversion Setup: javascript Condition 1: Green candle closes ABOVE Upper Bollinger Band Condition 2: Following candle is ALSO green → Triggers: Green highlight + Triangle below bar Bearish Mean Reversion Setup: javascript Condition 1: Red candle closes BELOW Lower Bollinger Band Condition 2: Following candle is ALSO red → Triggers: Red highlight + Triangle above bar 🎯 Visual Elements Element Color Description Intraday Midline Blue Real-time session midpoint Pre-Day Center Yellow Yesterday's midline (reference) Open Day Purple (dashed) Day's opening price SMA 20 Red Short-term trend SMA 100 Green Medium-term trend SMA 200 Orange Long-term trend Bollinger Bands Red/Green/Blue Volatility boundaries Bull Signal Green triangle ↓ Oversold bounce potential Bear Signal Red triangle ↑ Overbought rejection potential 📈 Trading Applications 1. Trend Confirmation Bullish Alignment: Price > All SMAs + Above Intraday Midline Bearish Alignment: Price < All SMAs + Below Intraday Midline 2. Mean Reversion Opportunities Overbought Scenario: Consecutive green candles above Upper BB → Potential reversal Oversold Scenario: Consecutive red candles below Lower BB → Potential bounce 3. Intraday Level Trading Intraday Midline: Dynamic support/resistance Pre-Day Center: Psychological reference level Open Day: Key opening price level ⚡ Key Features Automatic Session Reset: Daily at 7:00 AM GMT+7 Multi-Timeframe Confluence: Combines intraday, daily, and trend analysis Clean Visual Design: Non-cluttered, focused on key levels Real-Time Calculation: All levels update with each new candle 🛠️ Recommended Settings Timeframe: 15-minute to 1-hour charts Markets: Forex, Indices, Commodities Best Pairs: EURUSD, XAUUSD, VN30, USDJPY Trading Style: Swing trading, Day trading 📖 Usage Tips Trend Trading: Enter in direction of SMA alignment (20 > 100 > 200 for bullish) Mean Reversion: Use BB signals at key intraday levels (Midline, Pre-Day Center) Confirmation: Wait for candle close above/below key levels Risk Management: Place stops beyond opposite intraday extreme 🎨 Customization Options Users can modify: Session start time (line 6) Bollinger Band parameters (length, multiplier) SMA periods Color schemes
Indicador Pine Script®
por quan100796
SUPER TREND + RSI FILTER PRO@version=5 indicator("SUPER TREND + RSI FILTER PRO", overlay=true, timeframe="", timeframe_gaps=true) //--------------------------- // INPUTS //--------------------------- factor = input.float(3.0, "SuperTrend Factor") atr_len = input.int(10, "ATR Length") rsi_len = input.int(14, "RSI Length") rsi_buy = input.int(50, "RSI Buy Level") rsi_sell = input.int(50, "RSI Sell Level") //--------------------------- // SUPERTREND CALCULATION //--------------------------- atr = ta.atr(atr_len) upperBand = close + factor * atr lowerBand = close - factor * atr trend = 0.0 trend := close > nz(trend ) ? math.max(lowerBand, nz(trend )) : math.min(upperBand, nz(trend )) // Coloration bull = close > trend bear = close < trend //--------------------------- // RSI FILTER //--------------------------- rsi = ta.rsi(close, rsi_len) //--------------------------- // BUY & SELL SIGNALS //--------------------------- buySignal = bull and rsi > rsi_buy and close > trend sellSignal = bear and rsi < rsi_sell and close < trend //--------------------------- // PLOT SUPERTREND //--------------------------- plot(trend, color=bull ? color.green : color.red, linewidth=2, title="SuperTrend") //--------------------------- // BUY / SELL MARKERS //--------------------------- plotshape(buySignal, title="Buy", style=shape.labelup, color=color.green, size=size.small, text="BUY") plotshape(sellSignal, title="Sell", style=shape.labeldown, color=color.red, size=size.small, text="SELL") //--------------------------- // ALERTS //--------------------------- alertcondition(buySignal, title="Buy Signal", message="BUY Signal - SuperTrend + RSI Filter") alertcondition(sellSignal, title="Sell Signal", message="SELL Signal - SuperTrend + RSI Filter")
Indicador Pine Script®
por chinellelynda
BTC Price Prediction Model [Global PMI]🇨🇳 中文说明 (Chinese Version) 1. 简介 本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力，将复杂的宏观经济模型重构为可执行的交易工具。 2. 致谢 特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础，揭示了比特币价格与宏观经济因素之间的深层联系。 3. 模型原理与公式 该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。 模型公式 $$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$ 全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量（折算为美元）。代表可流入资产的法币资金池。 网络安全性 (Hashrate): 比特币全网算力，代表网络的物理安全性和实用价值。 风险偏好 (S&P 500): 作为全球风险情绪的代理指标。 经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期（扩张 vs 收缩）来放大或抑制估值。 4. 指标用法 指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。 情绪区间 🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。 ⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲，但需谨慎。 ⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。 😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。 💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。 情绪评分 (0-100) 100: 极度贪婪 (顶部) 50: 公允价值 0: 极度恐惧 (底部) 5. 使用建议 周期: 仅限日线 (1D) 或周线 (1W)。 原因: 底层数据源（M2, PMI）是月度更新的。标普500和算力是日度更新的。在日内图表（如15分钟、1小时、4小时）上使用此指标没有任何意义，因为基本面数据不会变化得那么快。 长期视角: 这是一个宏观周期指标，旨在识别数月甚至数年的周期顶部和底部，而非用于日内交易。 6. 免责声明 本指标仅供教育和参考使用，不构成任何财务建议。该模型依赖于历史相关性，未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。 🇺🇸 English Guide (英文说明) 1. Introduction This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools. 2. Credits Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm. 3. Model Principles & Formula This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle. The Formula $$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$ Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets. Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network. Risk Appetite (S&P 500): Used as a proxy for global risk sentiment. Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction). 4. How to Use The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score). Sentiment Zones 🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment. ⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised. ⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data. 😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory. 💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity. Sentiment Score (0-100) 100: Maximum Greed (Top) 50: Fair Value 0: Maximum Fear (Bottom) 5. Usage Recommendations Timeframe: Daily (1D) or Weekly (1W) ONLY. Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast. Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading. 6. Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
Indicador Pine Script®
por GinsTradingRoom
ADX_RDADX_RD - Average Directional Index (Ryan DeBraal) This script plots a refined version of the **ADX (Average Directional Index)**, used to measure trend strength regardless of trend direction. It includes custom smoothing, modified DM (Directional Movement) logic, dynamic coloring, and a built-in 20-level threshold. FEATURES - Calculates +DI, –DI, and ADX using standard Wilder smoothing (RMA). - Signal color turns **white** when ADX < 20 (low-trend or choppy conditions). - Signal color turns **blue** when ADX >= 20 (trend strengthening). - Horizontal dotted reference line at **20**, a widely used threshold: ADX < 20 → weak or ranging market ADX > 20 → strengthening trend - Works on all timeframes, supports custom smoothing lengths. PURPOSE This indicator helps identify when a market is trending vs when it is flat. It does not indicate direction by itself — only the strength of the move — making it ideal for confirming breakout setups, trend-following entries, and filtering out low-probability trades during chop.
Indicador Pine Script®
por ryandebraal
，，，//@version=5 indicator(title='Moving Average Exponential', shorttitle='EMA', overlay=true, timeframe='') len = input.int(6, minval=1, title='Length') len1 = input.int(13, minval=1, title='Length') len2 = input.int(24, minval=1, title='Length') len3 = input.int(55, minval=1, title='Length') src = input(close, title='Source') offset = input.int(title='Offset', defval=0, minval=-500, maxval=500) out = ta.ema(src, len) out1 = ta.ema(src, len1) out2 = ta.ema(src, len2) out3 = ta.ema(src, len3) plot(out, title='EMA', color=color.new(color.yellow, 0), offset=offset) plot(out1, title='EMA1', color=color.new(color.blue, 0), offset=offset) plot(out2, title='EMA2', color=color.new(color.red, 0), offset=offset) plot(out3, title='EMA2', color=color.new(#19e82a, 0), offset=offset)
Indicador Pine Script®
por c61165
Buffett Quality Filter (TTM)//@version=6 indicator("Buffett Quality Filter (TTM)", overlay = true, max_labels_count = 500) // 1. Get financial data (TTM / FY / FQ) // EPS (TTM) for P/E eps = request.financial(syminfo.tickerid, "EARNINGS_PER_SHARE_BASIC", "TTM") // Profitability & moat (annual stats) roe = request.financial(syminfo.tickerid, "RETURN_ON_EQUITY", "FY") roic = request.financial(syminfo.tickerid, "RETURN_ON_INVESTED_CAPITAL", "FY") // Margins (TTM – rolling 12 months) grossMargin = request.financial(syminfo.tickerid, "GROSS_MARGIN", "TTM") netMargin = request.financial(syminfo.tickerid, "NET_MARGIN", "TTM") // Balance sheet safety (quarterly) deRatio = request.financial(syminfo.tickerid, "DEBT_TO_EQUITY", "FQ") currentRat = request.financial(syminfo.tickerid, "CURRENT_RATIO", "FQ") // Growth (1-year change, TTM) epsGrowth1Y = request.financial(syminfo.tickerid, "EARNINGS_PER_SHARE_BASIC_ONE_YEAR_GROWTH", "TTM") revGrowth1Y = request.financial(syminfo.tickerid, "REVENUE_ONE_YEAR_GROWTH", "TTM") // Free cash flow (TTM) and shares to build FCF per share for P/FCF fcf = request.financial(syminfo.tickerid, "FREE_CASH_FLOW", "TTM") sharesOut = request.financial(syminfo.tickerid, "TOTAL_SHARES_OUTSTANDING", "FQ") fcfPerShare = (not na(fcf) and not na(sharesOut) and sharesOut != 0) ? fcf / sharesOut : na // 2. Valuation ratios from price pe = (not na(eps) and eps != 0) ? close / eps : na pFcf = (not na(fcfPerShare) and fcfPerShare > 0) ? close / fcfPerShare : na // 3. Thresholds (Buffett-style, adjustable) minROE = input.float(15.0, "Min ROE %") minROIC = input.float(12.0, "Min ROIC %") minGM = input.float(30.0, "Min Gross Margin %") minNM = input.float(8.0, "Min Net Margin %") maxDE = input.float(0.7, "Max Debt / Equity") minCurr = input.float(1.3, "Min Current Ratio") minEPSG = input.float(8.0, "Min EPS Growth 1Y %") minREVG = input.float(5.0, "Min Revenue Growth 1Y %") maxPE = input.float(20.0, "Max P/E") maxPFCF = input.float(20.0, "Max P/FCF") // 4. Individual conditions cROE = not na(roe) and roe > minROE cROIC = not na(roic) and roic > minROIC cGM = not na(grossMargin) and grossMargin > minGM cNM = not na(netMargin) and netMargin > minNM cDE = not na(deRatio) and deRatio < maxDE cCurr = not na(currentRat) and currentRat > minCurr cEPSG = not na(epsGrowth1Y) and epsGrowth1Y > minEPSG cREVG = not na(revGrowth1Y) and revGrowth1Y > minREVG cPE = not na(pe) and pe < maxPE cPFCF = not na(pFcf) and pFcf < maxPFCF // 5. Composite “Buffett Score” (0–10) – keep it on ONE line to avoid line-continuation errors score = (cROE ? 1 : 0) + (cROIC ? 1 : 0) + (cGM ? 1 : 0) + (cNM ? 1 : 0) + (cDE ? 1 : 0) + (cCurr ? 1 : 0) + (cEPSG ? 1 : 0) + (cREVG ? 1 : 0) + (cPE ? 1 : 0) + (cPFCF ? 1 : 0) // Strictness minScoreForPass = input.int(7, "Min score to pass (0–10)", minval = 1, maxval = 10) passes = score >= minScoreForPass // 6. Visuals bgcolor(passes ? color.new(color.green, 80) : na) plot(score, "Buffett Score (0–10)", color = color.new(color.blue, 0)) // Info label on last bar var label infoLabel = na if barstate.islast if not na(infoLabel) label.delete(infoLabel) infoText = str.format( "Buffett score: {0} ROE: {1,number,#.0}% | ROIC: {2,number,#.0}% GM: {3,number,#.0}% | NM: {4,number,#.0}% P/E: {5,number,#.0} | P/FCF: {6,number,#.0} D/E: {7,number,#.00} | Curr: {8,number,#.00}", score, roe, roic, grossMargin, netMargin, pe, pFcf, deRatio, currentRat) infoLabel := label.new(bar_index, high, infoText, style = label.style_label_right, color = color.new(color.black, 0), textcolor = color.white, size = size.small)
Indicador Pine Script®
por kgdholu
67 2.0Major Market Trading Hours New York Stock Exchange (NYSE) Open: 9:30 AM (ET) Close: 4:00 PM (ET) Pre-Market: 4:00 AM – 9:30 AM (ET) After Hours: 4:00 PM – 8:00 PM (ET) Nasdaq Open: 9:30 AM (ET) Close: 4:00 PM (ET) Pre-Market: 4:00 AM – 9:30 AM (ET) After Hours: 4:00 PM – 8:00 PM (ET) London Stock Exchange (LSE) Open: 8:00 AM (GMT) Close: 4:30 PM (GMT) Tokyo Stock Exchange (TSE) Open: 9:00 AM (JST) Lunch Break: 11:30 AM – 12:30 PM (JST) Close: 3:00 PM (JST) Hong Kong Stock Exchange (HKEX) Open: 9:30 AM (HKT) Lunch Break: 12:00 PM – 1:00 PM (HKT) Close: 4:00 PM (HKT)
Indicador Pine Script®
por nyzilakos