ZTC Key Levels IndicatorPick the levels of your likely and set bias for and entry levels for your needs.อินดิเคเตอร์ Pine Script®โดย John_Kal35
Advanced Concept V4 Change your trading time zone to New York . To maximize readiness for institutional trading setups based on the prescribed models, traders should set alarms for specific times in the New York Time Zone (EST/EDT), which is generally 10.5 hours behind IST. Asian Stop Hunt Model The Stop Hunt Model is a liquidity-based strategy designed to exploit market stop-loss sweeps by aligning with the IPDA daily bias. The core idea is to wait for price to sweep the engineered liquidity of the Asian Session High or Low (after 10:30 AM IST). Once the sweep occurs, the trader confirms the market's true direction via a Change of Character (CHoCH) on the lower timeframe. The entry is then taken only on a retest of the resulting price inefficiency, specifically a Balanced Price Range (BPR) or imbalance, which represents the institutional entry point. By targeting the next major liquidity pool with a minimum 1:3 risk-to-reward ratio, the model prioritizes discipline and quality over frequent trading. The New York Open Model The New York Open Model is an index-focused strategy (SPX500, NAS100, US30) that trades solely during the New York Session (9:30 AM – 12:30 PM NYT). It establishes a Range Zone high and low from midnight until the open, treating these boundaries as institutional liquidity targets. Execution is triggered by a mandatory liquidity sweep of one side of this range, followed by a confirming Change of Character (CHoCH) on the 1-minute chart. Entry is taken precisely on the retest of a resulting price inefficiency (like an FVG), aiming for the opposite side of the session range, prioritizing simplicity, timing, and controlled risk over external biases like IPDA. The ATM Strategy The ATM Strategy is a high-precision, New York-session trading model designed to capture institutional liquidity moves using the IPDA directional bias. The strategy operates by first defining a Range Zone (00:00 to 8:30 AM NY time) where high and low boundaries act as liquidity targets. Execution is restricted to the Trading Zone (8:30AM to 12:30 PM NY time) and is only triggered when price executes a mandatory liquidity sweep of one range boundary that aligns with the IPDA bias. This sweep must then be confirmed on the 1-minute chart by a Change of Character (CHoCH). Final entry is taken on the retest of a resulting price inefficiency (like an FVG or BPR), with targets set at session highs or lows, ensuring institutional-style execution with high clarity and discipline. The Central Bank Dealer Range (CBDR) The Central Bank Dealer Range (CBDR) model is a disciplined, institutional trading strategy used on the 15-minute chart, primarily focusing on London Session liquidity for major currency pairs. The core idea is to align with Interbank Price Delivery Algorithm (IPDA) bias, which dictates a mandatory liquidity sweep (a false breakout of the previous day's high or low) must occur first. Following this sweep, a visible price imbalance (Fair Value Gap) must form within the London Session. Entry is strictly taken only on the retest of this imbalance zone, confirming institutional order flow, with a fixed target at the opposite boundary of the previous day's range. อินดิเคเตอร์ Pine Script®โดย jasiremailที่อัปเดต: 94
H1 Liquidity Sweep Tracker🇬🇧 English: H1 Liquidity Sweep Tracker Overview The H1 Liquidity Sweep Tracker is a technical analysis tool designed for TradingView (Pine Script v5). It identifies "Liquidity Sweeps"—market movements where the price briefly breaches a significant level to trigger stop-loss orders before reversing. Core Functions H1 Level Detection: Regardless of your current timeframe (e.g., 1m, 5m, or 15m), the script automatically fetches the High and Low of the previous 1-hour candle. Real-Time Monitoring: It tracks price action relative to these levels to identify failed breakouts. Visual Indicators: Horizontal Lines: Displays the H1 High (Red) and H1 Low (Green) from the previous hour. Sweep Shapes: A triangle appears above/below the candle when a sweep is detected. How it Works (The Logic) A "Sweep" is triggered when the current price moves beyond the H1 boundary but fails to maintain that position: Bullish Sweep: The price drops below the previous H1 Low (collecting sell-side liquidity) but closes back above it. This suggests a potential upward reversal. Bearish Sweep: The price rises above the previous H1 High (collecting buy-side liquidity) but closes back below it. This suggests a potential downward reversal. อินดิเคเตอร์ Pine Script®โดย ingoschloemer24
Support Resistance-Session Box Breakout Support Resistance-Session Box Breakout สามารถใช้แนวรับแนวต้านจากSupport Resistance-Session Box หาจุกลับตัวหรือหาจุดเข้าเทรดได้ อินดิเคเตอร์ Pine Script®โดย SwingTradeIndicator28
SPY 9EMA + Momentum + Patterns + PT (TF-aware)9ema crossover, candle shapes, call/put on 3m-5m-10-15min time framesอินดิเคเตอร์ Pine Script®โดย jazzyjax12
TG ChartOverview This indicator is a hybrid technical and fundamental analysis suite designed to identify high-probability trend setups. It combines a multi-timeframe moving average system with a "heads-up display" (dashboard) that streams real-time volatility, float rotation, and quarterly financial data directly onto your chart. How It Works For The Beginner (The "Traffic Light" Concept) Think of this indicator as a health check for the stock you are watching. The Chart: The candlesticks change color based on the "health" of the trend. Green/Yellow Candles: The stock is in a healthy uptrend. Standard Colors: The stock is consolidating or trending down. The Table: This is your dashboard. It looks at the company's "report card" (Earnings and Revenue) and how much the stock price moves on average (Volatility). If you see bright green numbers in the table, the company is growing fast and meeting specific targets. For The Technical Trader (The Logic) This script implements a Multi-Timeframe Trend Template combined with fundamental screening. Trend State Logic: The script calculates daily Moving Averages (EMA 10/21, SMA 50/150/200) regardless of the chart timeframe you are viewing. It confirms an uptrend only when specific criteria are met (e.g., Price > SMA50 > SMA150 > SMA200 and Price > 52-Week Low). Momentum Filter: It utilizes a proprietary "Strict" mode that analyzes the slope of the SMA200 and recent percentage performance to differentiate between an "Early Uptrend" and a "Confirmed Uptrend." Fundamental Overlay: It pulls non-price data (Earnings, Revenue, Float, Shares Outstanding) to validate if the technical breakout is supported by fundamental growth. Key Features & Visuals 1. Smart Candlestick Coloring Trend Coding: Bars are colored (e.g., Pale Green or Yellow) when the stock enters a defined trend stage. This helps you instantly recognize if a stock is in a "Stage 2" markup phase. Upside Reversals: Can optionally highlight specific reversal patterns where price undercuts a low but closes strong. Previous Close Coloring: Option to color bars based on relation to the previous close rather than the open (useful for gap analysis). 2. The Data Dashboard (HUD) A customizable table displaying critical data points: Market Cap & Industry: Categorizes the stock size and sector. VIX Comparison: Real-time monitoring of the Volatility Index (VIX) vs. the previous day's close to gauge broad market sentiment. Volatility (ADR/ATR): Displays Average Daily Range (ADR) and Average True Range (ATR). It highlights when volatility is contracting (tightening) or expanding. Float Rotation: Calculates the share float and estimates rotation (Volume / Float) to identify high-demand low-float runners. Financials: Displays the last 4 quarters of EPS and Revenue, calculating the QoQ (Quarter over Quarter) growth % to highlight accelerating fundamentals. 3. Multi-Timeframe MAs Plots Daily Moving Averages (10, 21, 50, 150, 200) on lower timeframes (like the 5m or 15m chart), allowing you to see major daily support/resistance levels without switching charts. Settings Guide Candlestick: Toggle body/border/wick colors for different trend states (Early vs. Confirmed). Uptrend Confirmation: Strict Mode: Requires the SMA200 to have a positive slope (consecutive up days). Trigger %: Defines the required price performance over a set lookback period to trigger the uptrend state. Moving Averages: Select which daily MAs to display (EMA vs. SMA) and adjust their lengths. Table Settings: Fully customizable targets. Set your thresholds for Market Cap, Target ADR %, and Earnings Growth % to control when the dashboard highlights data in green. Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Always verify data and manage risk independently.อินดิเคเตอร์ Pine Script®โดย tgorzneyที่อัปเดต: 0
Fed Balance Sheet (Candles)Fed Balance Sheet (Candles) - TradingView Description 📊 OVERVIEW Fed Balance Sheet (Candles) transforms the Federal Reserve's total assets into an intuitive candlestick visualization, allowing you to track monetary policy changes with the same visual language you use for price action. This indicator pulls real-time data directly from FRED (Federal Reserve Economic Data) and displays the Total Assets of All Federal Reserve Banks as dynamic candles on your chart, making it effortless to correlate central bank liquidity with market movements. 🎯 WHY THIS MATTERS The Federal Reserve's balance sheet is one of the most powerful leading indicators in global markets. When the Fed expands its balance sheet (Quantitative Easing), it injects liquidity into the financial system, historically correlating with: Rising asset prices (stocks, crypto, commodities) Lower volatility Risk-on sentiment Currency devaluation When the Fed contracts its balance sheet (Quantitative Tightening), liquidity drains from markets, often leading to: Asset price pressure Increased volatility Risk-off sentiment Dollar strength By visualizing this as candles, you can instantly see: The pace of change (candle size) The direction (green = expansion, red = contraction) Acceleration or deceleration (consecutive candles in same direction) Pivots in monetary policy (color changes from green to red or vice versa) 🔧 HOW IT WORKS Data Source Source: Federal Reserve Economic Data (FRED) Metric: Total Assets of All Federal Reserve Banks Unit: Displayed in Trillions of USD for easy reading Frequency: Weekly updates (every Wednesday) Candlestick Construction Since balance sheet data is reported as a single number each week (not traditional open-high-low-close), this indicator creates candles by comparing each period to the previous one: Open = Last week's balance sheet value Close = This week's balance sheet value High = The higher of the two values Low = The lower of the two values This captures directional movement and magnitude of change, making it intuitive for traders accustomed to candlestick analysis. Color Scheme 🟢 GREEN CANDLES (Expanding Balance Sheet) When this week's value is higher than last week's Interpretation: Fed is adding liquidity (Quantitative Easing) Historically bullish for risk assets 🔴 RED CANDLES (Contracting Balance Sheet) When this week's value is lower than last week's Interpretation: Fed is removing liquidity (Quantitative Tightening) Historically bearish or neutral for risk assets Value Label A floating label displays the current balance sheet value in trillions (e.g., "$8.75T") so you always know the exact figure at a glance. 📈 PRACTICAL APPLICATIONS 1. Market Regime Identification Strings of green candles = Liquidity-driven bull markets Strings of red candles = Tightening-induced bear markets or corrections Color transitions = Potential market inflection points 2. Correlation Analysis Overlay on stock indices (SPY, QQQ, IWM) Overlay on crypto (BTC, ETH) Overlay on commodities (Gold, Silver) Observe how asset prices react to Fed liquidity changes in real-time 3. Macro Timing Large green candles = Aggressive easing (crisis response) Large red candles = Aggressive tightening (inflation fighting) Small candles = Neutral policy (Fed on hold) 4. Risk Management Shift portfolio allocation based on liquidity environment Reduce leverage during red candle trends Increase exposure during green candle trends Use as confirmation for other technical signals 5. Multi-Timeframe Context Daily charts: See how daily price action relates to weekly Fed data Weekly charts: Perfect alignment with data release frequency Monthly charts: Visualize long-term monetary cycles spanning years ⚙️ SETTINGS Zero configuration needed. Simply add the indicator to any chart and it works immediately. The indicator automatically: Overlays on your main chart Uses the left price scale (won't interfere with asset prices) Updates with the latest Fed data Displays values in trillions for clean readability 🎨 VISUAL DESIGN PHILOSOPHY The indicator uses semi-transparent candle bodies with vibrant borders to maintain visibility without obscuring your price action. The color scheme follows universal chart conventions where green represents growth/expansion and red represents decline/contraction. It's designed to blend seamlessly into any chart theme while providing immediate visual clarity about the Fed's monetary stance. 📚 WHAT YOU NEED TO KNOW Data Availability Historical data available from December 2002 (over 20 years of Fed policy) Updates every Wednesday (Federal Reserve's reporting schedule) Typically published with a 1-week lag How the Data Appears On weekdays: Shows the most recent Wednesday's data On weekends: Shows Friday's data (which is the prior Wednesday's figure) Updates automatically when new data is released Scale Considerations The Fed's balance sheet is measured in trillions, while most assets are priced much lower. The indicator uses the left price scale by default to avoid conflicts with your main asset's price scale. You can easily move it to a separate pane if you prefer. 🧠 INTERPRETATION GUIDE Historical QE Phases (Green Candles) 2008-2014: Financial Crisis Response The Fed's balance sheet expanded from under $1T to ~$4.5T to stabilize markets after the mortgage crisis. 2020: COVID-19 Response Rapid expansion to ~$7T as the Fed stepped in during pandemic lockdowns. 2020-2022: Extended Support Balance sheet reached historic peak of ~$9T. Historical QT Phases (Red Candles) 2017-2019: First Modern QT Attempt The Fed tried to normalize its balance sheet, reducing it from ~$4.5T to ~$3.8T before pivoting. 2022-Present: Inflation-Fighting QT The Fed began shrinking its balance sheet to combat inflation, letting bonds mature without replacement. Key Insights Size matters, but rate of change matters MORE. A $9T balance sheet growing slowly has different implications than a $5T balance sheet growing rapidly. Watch for acceleration. Increasingly large candles (up or down) signal a policy shift that markets will notice. Plateaus mean "wait and see." Tiny candles indicate the Fed is holding steady and watching economic data. Reversals are major events. When candles switch from green to red (or vice versa), the Fed has changed course—these are critical market turning points. 🎓 EDUCATIONAL VALUE This indicator helps you understand: The mechanics of monetary policy through visual learning The lag between Fed actions and market reactions by observing temporal correlation The scale of modern central banking (trillions put into perspective) The relationship between liquidity and asset prices (cause and effect in action) Many traders talk about "don't fight the Fed" but never actually track what the Fed is doing. Now you can see it as clearly as you see price action. 🔗 RELATED CONCEPTS For comprehensive macro analysis, consider also tracking: Fed Funds Rate (short-term interest rates) M2 Money Supply (broader measure of money in circulation) Treasury Yield Curves (bond market expectations) Dollar Index (DXY) (currency strength) VIX (market fear/volatility) The Fed's balance sheet is just one piece of the puzzle, but it's arguably the most important one for understanding liquidity conditions. ⚠️ DISCLAIMER This indicator displays publicly available economic data from the Federal Reserve. It is for informational and educational purposes only and does not constitute financial advice. Important considerations: Past monetary policy does not guarantee future market outcomes Correlation does not equal causation Asset prices are influenced by many factors beyond Fed liquidity Always use proper risk management Consult with qualified financial professionals before making investment decisions Trading involves substantial risk of loss and is not suitable for everyone. 📜 VERSION HISTORY Version 1.0 - Initial Release Fed balance sheet visualized as candlesticks Real-time FRED data integration Automatic display in trillions Dynamic color coding (green/red) Current value label with exact figure 💡 WHY CANDLES? You might wonder: "Why show the Fed's balance sheet as candles instead of a line?" Because candles tell stories that lines can't. A line shows you where we are Candles show you how we got here, how fast we're moving, and what momentum looks like Candles make the Fed's actions feel immediate and tangible Candles connect macro data to the chart language you already speak When you see three big green candles in a row on the Fed balance sheet while your crypto or stock portfolio is rallying, you feel the connection. When you see the candles turn red and shrink, you understand the headwinds forming. It transforms dry economic data into actionable market intelligence. 📞 SUPPORT & FEEDBACK If you find this indicator valuable: ⭐ Like and favorite to help others discover it 📝 Comment with your use cases and insights 🔔 Follow for updates and new macro indicators Your feedback drives improvements and helps build better tools for the trading community. 🚀 THE BOTTOM LINE The Fed's balance sheet is the tide that lifts or lowers all boats. Whether you're trading stocks, crypto, forex, or commodities—whether you're a day trader or long-term investor—understanding the Fed's liquidity operations gives you an edge. This indicator makes that understanding visual, immediate, and actionable. Stop guessing about macro conditions. Start seeing them. "Don't fight the Fed" - Wall Street Wisdom Now you can see exactly what they're doing—in the same language you use to read price action. May your trades ride the tide of liquidity. 🌊📈อินดิเคเตอร์ Pine Script®โดย KevinSvenson_51
Fair Value Gap [CT TRADERS]What does a Fair Value Gap do? 👉 It marks areas where price moved too fast, creating an imbalance between buyers and sellers. This usually happens when institutional money enters the market aggressively. Why is it important? Because the market tends to revisit these areas to “rebalance” or fill the gap. When price returns to an FVG, one of these usually happens: 🔼 Bounce (continuation of the move) 🔽 Rejection (price reversal) Types of Fair Value Gaps 🔹 Bullish FVG Created during a strong upward move Acts as a support zone Price often returns to it before continuing higher 🔹 Bearish FVG Created during a strong downward move Acts as a resistance zone Price often returns to it before continuing lower How traders use FVGs ✔️ Identify key price zones ✔️ Improve entry precision ✔️ Avoid chasing price ✔️ Understand institutional market behaviorอินดิเคเตอร์ Pine Script®โดย cryptonyoficial8
COT Net Positions -TFF, LEGACY, DISAGGREGATED ReportsShow Net Positions, Long, Short for the CoT Reportsอินดิเคเตอร์ Pine Script®โดย AWinTrading12
Omega Stock Evaluation [OmegaTools]Omega Stock Evaluation is a comprehensive, institutional-grade equity analysis framework designed to synthesize fundamental valuation, technical context, relative performance, risk metrics, volume behavior, and analyst sentiment into a single decision-support system. It is not a “signal generator” in the traditional sense: it is a multi-dimensional evaluation engine built to answer one question—how a stock is positioned in terms of value, trend, risk, and market behavior. Purpose This script is designed to provide structured, repeatable stock evaluation for investors and analysts who want more than isolated indicators. It consolidates multiple independent valuation models, long-horizon technical equilibrium measures, market-relative valuation (multiple normalization), risk diagnostics, and behavioral proxies into a single output that can be monitored over time. What the indicator delivers • A blended Fair Price derived from fundamentals, market multiples, and technical equilibrium • A volatility-normalized Oscillator that expresses discount/premium positioning vs fair value • A multi-factor Rating (Strong Sell → Strong Buy) designed for strategic positioning • A real-time Dashboard with: Rating, VaR, Beta, Trend, Location, Fundamental status, Performance status, Institutional bias, and Analysts consensus • Optional overlays: Fundamental fair value, Technical fair value, PE-adjusted fair value, individual fundamental models, and analyst target price bands Data and robustness logic The script uses TradingView Financial datasets and includes normalization / cleaning steps to keep metrics realistic across different sources and reporting formats. Percent-like fields are automatically converted when needed, missing values are handled gracefully, and extreme or unstable multiples (e.g., implausible EV/Sales or EV/EBITDA) are filtered out. Risk-adjusted discount rate and growth constraints A core design choice is to avoid “fantasy valuations.” The script defines a bounded required return r , adjusted by credit/financial risk using the Altman Z-Score when available. Growth assumptions are also bounded and constrained so that terminal growth remains below the discount rate, preventing mathematically explosive valuations and improving stability across sectors. Fundamental valuation engine (multi-model) The indicator computes up to seven independent fair value estimates, each based on a distinct valuation philosophy. These estimates are then aggregated into a robust fundamental fair price using filtering and averaging logic to reduce outlier impact. Fundamental models included M1 – Discounted Cash Flow (FCF) Projects Free Cash Flow for a fixed horizon and discounts it using the required return, then converts enterprise value to equity value by adjusting for net debt and shares outstanding. M2 – Peter Lynch / PEG-style implied price Derives an implied target P/E from growth and dividend yield (bounded), then estimates fair price as EPS(TTM) × target P/E. M3 – Economic Value Added (EVA) Estimates firm value as invested capital plus the present value of EVA streams, where EVA is NOPAT minus the capital charge (r × invested capital). M4 – EV/Sales normalized valuation Uses the historical median EV/Sales multiple as a target and values the company using TTM revenue, adjusted to equity value. M5 – Residual Income valuation (ROE fade) Builds a residual income model where ROE advantage fades toward the required return over the horizon, adding the present value of residual income to book value. M6 – EV/EBITDA normalized valuation Uses the historical median EV/EBITDA multiple as a target and values the company using TTM EBITDA, adjusted to equity value. M7 – Justified P/B (closed-form residual income) Computes a justified price-to-book estimate from ROE, growth, and required return and derives a fair price from BVPS. Fundamental fair price aggregation Only valid, positive model outputs are used. The script sorts the valuation set, discards extreme tails when enough models are available, and computes a robust average to produce a stable Fundamental Fair Price suitable for continuous monitoring. Technical fair value To avoid relying solely on accounting-driven valuations, the script computes a Technical Fair Price from long-horizon market structure: it blends the 252-day high/low range with a long-term VWMA equilibrium. This acts as a market-derived anchor representing where price tends to revert across cycles. Market multiple normalization (PE-adjusted valuation) The script calculates a PE-Adjusted Fair Price by comparing the stock’s current P/E (from EPS TTM) to the S&P 500 average P/E series. This provides an immediate market-relative valuation signal: “what would this stock’s price be if it traded at the index multiple?” Blended fair price The final Fair Price is a composite average of: • Fundamental fair price (multi-model) • PE-adjusted fair price (market-relative) • Technical fair price (market equilibrium) This blend reduces single-model bias and improves usability across sectors and regimes. Oscillator and location logic Deviation from fair price is normalized by long-horizon volatility (standard deviation), producing a valuation oscillator that expresses where price sits relative to fair value in standardized units. The script defines three regimes: • Discount (deep undervaluation vs fair price) • Neutral • Premium (overvaluation vs fair price) Color gradients adapt dynamically to the oscillator level for fast visual interpretation. Trend health and structural direction Instead of using only price moving averages, trend is assessed using the slope of fair value itself (a structural measure). Rising fair price implies improving fundamentals/conditions; declining fair price implies deterioration. This supports a more “business-like” view of trend. Performance and institutional behavior Performance is evaluated relative to the PE-adjusted reference using ATR-scaled thresholds, classifying the stock as underperforming/overperforming vs market-normalized expectations. Institutional activity is approximated using statistically significant volume expansions and short-term price direction during those expansions, producing a Buying / Selling / Neutral institutional bias proxy. Composite rating system The indicator converts multiple components into a unified Rating score: trend, valuation location, fundamental mispricing, relative performance, institutional bias, long-term MA regime, and RSI extremes. The rating is scaled by a volume factor so that high-conviction volume environments receive greater weight. Final categories are mapped as: Strong Sell , Sell , Hold , Buy , Strong Buy , displayed both numerically and textually. Risk metrics: VaR and Beta The dashboard includes: • Historical VaR (percentile-based on daily log returns) for downside risk awareness • Beta computed from relative volatility and correlation vs SPY across a long window These metrics provide critical context for comparing opportunities across different risk profiles. Analyst consensus Sell-side recommendations are aggregated into: • A dominant consensus label (Strong Buy → Strong Sell) • A weighted average recommendation score (%) This allows you to identify alignment or divergence between market valuation, price behavior, and analyst positioning. Visual options and overlays The indicator is designed to be clean, modular, and presentation-ready. You can choose to display: • Blended Fair Price • Technical, Fundamental, and PE-Adjusted fair prices • All individual fundamental model lines (M1–M7) • Analyst target price bands (High/Low/Average), plotted forward from the official target price date A compact, professional table summarizes the entire evaluation in one glance. Recommended workflow This tool is best used for: • Long-term screening and rotation • Valuation + trend confluence analysis • Portfolio construction and risk-aware allocation • Identifying discounted stocks with improving structure (or expensive stocks with weakening structure) It is not intended as a standalone entry/exit trigger for short-term trading. Disclaimer Omega Stock Evaluation is an analytical tool and does not constitute financial advice. Financial datasets may vary in availability and update timing across tickers and exchanges. Always validate with primary sources before making investment decisions. Omega Stock Evaluation does not try to predict. It tries to quantify context—value, trend, risk, and behavior—in one coherent system. อินดิเคเตอร์ Pine Script®โดย OmegaTools24
EPS 4SMAThis indicator displays the quarterly EPS as a 4SMA. This allows for a visual judgment of whether the EPS has increased or decreased compared to the same period last year. Additionally, if it has increased, the SMA changes to red. Furthermore, it shows a label indicating the percentage increase or decrease compared to the same period last year.อินดิเคเตอร์ Pine Script®โดย tanukitsune1
total_revenue 4SMAThis indicator displays quarterly sales as a 4SMA. This allows for a visual assessment of whether sales have increased or decreased compared to the same period last year. Additionally, if sales have increased, the SMA changes to red. Furthermore, it shows the percentage increase or decrease compared to the same period last year as a label.อินดิเคเตอร์ Pine Script®โดย tanukitsune2
Skewness Indicator偏態分佈指標Skewness Indicator 核心功能 偏度計算 - 測量價格分佈的不對稱性 正偏度:價格傾向於右偏,可能表示上漲趨勢 負偏度:價格傾向於左偏,可能表示下跌趨勢 可自定義參數 計算週期(預設20) 數據源(收盤價、開盤價等) 正負偏態閾值 視覺化元素 藍色線:即時偏度值 橙色線:偏度移動平均(平滑訊號) 背景顏色:綠色表示強正偏態,紅色表示強負偏態 信號標記:三角形標示潛在的交易機會 交易信號 看漲信號:當偏度向上突破負閾值 看跌信號:當偏度向下跌破正閾值 資訊面板 - 右上角顯示當前偏度值和狀態 功能 多時間週期(HTF) - 可選擇在更高時間框架上計算偏度(例如在5分鐘圖上顯示日線的偏度) 交易信號 - 三角形標記顯示潛在的交易機會 資訊面板 - 右上角顯示當前偏度值和市場狀態 視覺提示 - 閾值線和背景顏色提示極端狀態 使用建議 在參數中勾選「使用高時間週期」 選擇你想要的時間週期(如 D=日線, W=週線, 240=4小時) 這樣可以在短週期圖表上看到長週期的偏態趨勢 Core functions Skewness calculation-Measuring the asymmetry of price distribution Positive bias: The price tends to the right, which may indicate an upward trend Negative bias: The price tends to the left, which may indicate a downward trend Customizable parameters Calculation cycle (default 20) Data source (closing price, opening price, etc.) Positive and negative bias threshold Visual elements Blue line: instant skewness value Orange line: skewed moving average (smooth signal) Background color: green indicates a strong positive bias, red indicates a strong negative bias Signal mark: Triangle marks potential trading opportunities Trading signals Bullish signal: when the skewness breaks through the negative threshold upward Bearish signal: when the bias falls below the positive threshold Information panel-the upper right corner displays the current skewness value and status function Multi-time period (HTF)-you can choose to calculate the skewness on a higher time frame (for example, display the skewness of the daily line on a 5-minute chart) Trading signals-Triangle marks show potential trading opportunities Information panel-the upper right corner displays the current skewness value and market status Visual cues-threshold lines and background colors indicate extreme states Recommendations for use Check "Use high time period" in the parameters Choose the time period you want (e.g. D= daily, W= weekly, 240= 4 hours) In this way, you can see the long-cycle bias trend on the short-cycle chartอินดิเคเตอร์ Pine Script®โดย YOWYI8
Historical PEPlease use weekly chart so the those EMAs represent 1 yr, 3 yr and 10 yr.อินดิเคเตอร์ Pine Script®โดย KENWWW4
Vilantro SMC, Sessions, FRVP Master Algo V2.3Vilantro SMC, Sessions, FRVP Master Algo (V2.3) Overview The Vilantro SMC Master Algo is a comprehensive institutional trading toolkit designed for Smart Money Concepts (SMC) and ICT traders. It combines Time, Price, Volume, and Structure into a single, high-performance indicator. Instead of cluttering your chart with multiple indicators, this tool provides a "mechanical" framework to identify high-probability setups by visualizing Liquidity Sweeps, Order Blocks, Fair Value Gaps, and Session Kill Zones automatically. Key Features 1. Advanced Session & Kill Zones Time is the most critical element in ICT trading. This module highlights key trading windows to help you catch volatility. • Asia Range: Visualizes the accumulation phase (Default: 20:00 - 00:00 NY). • London Kill Zone: Captures the "Judas Swing" or initial breakout (Default: 02:00 - 05:00 NY). • New York Kill Zone: The primary session for trend continuation or reversals (Default: 07:00 - 10:00 NY). • Custom Session: A user-defined window (e.g., Close, Lunch) for added flexibility. • Feature: Toggle any session ON/OFF individually. 2. Smart Money Concepts (PD Arrays) The core engine automatically detects institutional reference points: • Order Blocks (OB): Highlights the last candle before a strong move. Green for Bullish, Red for Bearish. • Fair Value Gaps (FVG): Detects imbalances where price moved too quickly. • Breaker Blocks (BB): Advanced Logic. Automatically identifies Failed Order Blocks (e.g., a Bullish OB that got smashed through) and marks them as Breakers for retests. • Inversion FVGs (IFVG): Advanced Logic. Marks Failed FVGs that flip from support to resistance (or vice versa). 3. Market Structure & Swings • Swing Points: Automatically labels HH (Higher High), LL (Lower Low), LH , and HL to visualize the trend. • Break of Structure (BOS): Draws lines when trend continuation occurs. • Change of Character (CHoCH): Draws lines when the trend potentially reverses. • Customization: You can toggle the Labels and Lines independently to keep charts clean. 4. Fixed Range Volume Profile (FRVP) - Gap Logic Unlike standard indicators, this calculates the Volume Profile specifically for the "Gap" periods between sessions (e.g., Pre-London or Pre-NY). • POC (Point of Control): The price level with the highest volume traded during the gap. • VAH / VAL: Volume Area High and Low lines. • Usage: Helps identify where price is likely to magnetize before the next session opens. 5. Liquidity & Sweeps • Equal Highs/Lows (EQH/EQL): Automatically spots "Double Top/Bottom" formations where retail stops are hiding. • Sweep Signals: Provides real-time BUY/SELL signals when a session high/low is swept (liquidity raid) and price reverses back into the range. 6. Daily Premium & Discount • Calculates the Daily High , Daily Low , and Equilibrium (50%) level. • Helps you avoid buying in "Premium" (expensive) or selling in "Discount" (cheap) zones. Settings Guide Kill Zones • Show : Toggle visibility for Asia, London, NY, or Custom boxes. • Time Inputs: Set start/end times (Format: HHmm-HHmm in NY time). Visuals • Colors: Customize the background colors and opacity for each session. Premium / Discount • Calculate P/D: Enables the Daily Range calculation. • Show BG/Lines: Toggles the background shading or the High/Low/Eq lines. Volume Profile • POC / VAH / VAL: Customize the color, width, and style (Solid/Dash) of volume lines. SMC • Show FVG / OB: Toggles standard Order Blocks and Fair Value Gaps. • Req FVG?: Filter: Only shows OBs that created a Fair Value Gap (High Quality). • Show Breakers / IFVG: Toggles advanced "flipped" zones (Breaker Blocks & Inversion FVGs). Structure • Show Swings: Toggles HH/LL labels on pivots. • Show Structure Lines: Toggles BOS/CHoCH horizontal lines. Liquidity • Thresh: Sensitivity for detecting Equal Highs/Lows. Trade Mgmt • Show Signals: Toggles the Buy/Sell labels on the chart. How to Trade (Strategy Examples) Strategy A: The "Session Sweep" (Reversal) Wait for a Session Box (e.g., Asia) to form. Look for price to break out above the Session High (Sweep). Wait for a "SELL (Sweep)" signal. This confirms price grabbed liquidity and closed back inside. Target: The opposing side of the session (Asia Low) or the Session POC. Strategy B: The "Unicorn" (Breaker + FVG) Identify a Breaker Block (BB) (a failed OB that flipped). Look for a Fair Value Gap (FVG) overlapping with that Breaker. Entry: Limit order at the overlap of the BB and FVG. Stop Loss: Just outside the Breaker structure. Disclaimer: This tool is for educational and analytical purposes only. Trading involves significant risk. Always combine these signals with your own analysis and risk management rules.อินดิเคเตอร์ Pine Script®โดย Vilantroที่อัปเดต: 1135
Growth DashboardThe Multi-Year Growth Dashboard provides a high-level snapshot of an asset’s historical performance directly on your chart. It calculates the total percentage growth for 1-year, 3-year, and 5-year periods based on exact calendar dates. Unlike simple bar-counting scripts, this indicator uses a "Time-Capsule" logic: - Calendar Precision: It calculates specific timestamps for 365, 1,095, and 1,825 days ago. - Persistent Memory: Using the var keyword, the script scans historical bars and "captures" the closing price as it crosses those specific dates. - Dividend Adjustment: It respects the chart's ADJ (Adjusted for Dividends) toggle, ensuring your total return figures are accurate for stocks like AAPL or MSFT.อินดิเคเตอร์ Pine Script®โดย BigH573
Adaptive Score Pro - Trade Intelligence ⚠️ IMPORTANT RISK DISCLAIMER This script, "Adaptive Score Pro - Trade Intelligence" is published for informational and educational purposes only. It is a technical analysis tool that automates calculations based on market data. 1. Not Investment Advice The information generated by this script does not constitute financial, investment, or trading advice of any kind . It is not a recommendation to buy, sell, or hold any security or other financial product. You should not rely on this script as a substitute for independent research or professional financial advice . 2. Trading is High Risk Trading financial instruments carries a high degree of risk. You can lose more than your initial investment, especially when using leverage . Past performance, including any hypothetical or backtested results shown, is not indicative of future results. 3. No Warranties or Liability The script and its outputs are provided "as is" without any guarantees of accuracy, reliability, or profitability . By using this script, you agree that the author and TradingView, Inc. are not liable for any trading decisions you make, or for any losses or damages that may arise from your use of or reliance on this script . 4. Your Responsibility You are solely and fully responsible for evaluating the risks of any trade and for your own trading decisions . Ensure you understand the risks involved and only trade with capital you can afford to lose . By using this script, you acknowledge that you have read, understood, and agree to this disclaimer. 📈 Indicator Overview & Purpose "Adaptive Score Pro - Trade Intelligence MFE_MAE4" is a comprehensive, all-in-one trading system designed for systematic traders. It goes beyond basic signal generation by integrating real-time trade management, detailed performance analytics, and advanced market regime detection into a single, visually intuitive dashboard. The core philosophy is to provide trade intelligence—not just entry signals. It analyzes market conditions, assigns a quality grade to every signal, and actively monitors open positions to suggest management adjustments, helping traders move from guesswork to data-driven decisions. 🎯 Unique Selling Points & Key Features Your script's depth sets it apart. Here are its standout features presented in a table for clarity: Feature Category What It Does Why It's Valuable Open Trade Intelligence Monitor Replaces simple signal panels with a dynamic dashboard for each open trade. It compares entry vs. current conditions (score, grade, confidence, regime) and suggests specific actions (HOLD, ADD, DEF, EXIT, TP) and adjustments to stops/targets. Provides actionable, real-time management suggestions, turning a static indicator into an active trading assistant. Expanded MFE/MAE & High/Low Analysis Tracks the Maximum Favorable and Adverse Excursion in ATR terms and records price highs/lows at strategic intervals (Bars 1, 2, 3, 5, 7, 10, 15) after entry for both long and short trades. Offers deep, standardized post-trade analytics to evaluate entry quality and trade behavior, helping refine future strategy. Adaptive Signal Engine Generates a composite score from trend, momentum, and volume components, with weights that adapt to market regime (e.g., STRONG TREND, ACTIVE RANGE). Each signal receives a quality grade (A+ to F) and confidence score. Filters out low-probability setups, ensuring you focus on high-quality, regime-appropriate trades. Holistic Performance Suite Displays complete trade history and detailed statistics (Win Rate, Profit Factor, Sharpe/Sortino Ratios, Max Drawdown). Includes a Threshold Analysis table showing historical win rates for specific score bands. Enables continuous strategy validation and optimization based on your actual historical performance. Integrated Risk & Portfolio Management Features multi-position risk control, position sizing (with optional Kelly Criterion), and tracks total portfolio equity and drawdown. It enforces maximum open positions and position-size limits. Manages portfolio-level risk, a critical feature often missing from standalone indicators. 🛠️ How to Use the Indicator Signal Generation: The indicator plots signals on the chart. Focus on trades with a B- grade or higher and high confidence for best results. Trade Management: Once in a trade, the Open Trade Monitor (top of the table) becomes your control center. Use the suggested "ACT" (action) and adjust stops/targets based on the "NewS" and "NewT" columns. Post-Trade Analysis: Review the "Recent Trades" section and "Performance" statistics to understand what's working. Use the "Threshold Analysis" to see which score ranges are most profitable for your asset. 💡 Ideal User & Best Practices This script is ideal for traders who employ a systematic, discretionary approach and want a unified tool for signal filtering, trade management, and performance tracking. Recommended Timeframes: 1-hour charts and above for reliable regime detection and to avoid excessive noise. Initial Setup: Start with the default settings. After 20-30 trades, use the Threshold Analysis to see if adjusting the buy/sell thresholds (default 56/44) could improve your edge. Core Philosophy: Use the A/B-grade signals as high-probatility alerts, not automated orders. The intelligence is in the context it provides—always apply your own final judgment. ⚠️ Important Considerations Learning Curve: The indicator is feature-rich and may be overwhelming for complete beginners. Not a "Set-and-Forget" System: It is a sophisticated decision-support tool. Successful use requires understanding its outputs and integrating them into a complete trading plan. Historical Data: The statistical models and threshold analysis become more reliable as more trade history is accumulated. In summary, "Adaptive Score Pro" packages the tools of a professional trading desk—from signal generation and quality grading to active trade management and detailed analytics—into a single TradingView indicator. Its standout Open Trade Intelligence Monitor and expanded trade analytics make it a powerful platform for traders aiming to systematize and improve their process.อินดิเคเตอร์ Pine Script®โดย cliffordsmarshที่อัปเดต: 117
Tori-Style Trend PullbackA rule-based 4H trend pullback system using the 200 MA regime filter, 50 MA pullbacks, strong-candle confirmation, fixed risk, and transparent performance stats. Designed for calls & puts, no discretion. This indicator implements a strict, non-discretionary 4H trend-pullback model. CORE LOGIC • 200 MA defines the trend regime • 50 MA defines the pullback zone • Entries require strong candles (body % based) • Optional volume confirmation • Stops are locked at entry • Exits are rules-based (trend failure, stop, or TP) TIMEFRAME • All trade logic is calculated on 4H (forced or native) • Lower timeframes are for visual reference only DASHBOARDS • Top-right: Regime + multi-timeframe bias (1D / 4H / 15m / 5m) • Bottom-right: Trade statistics (calls, puts, stops, trend exits, TP) WHAT THIS IS • A systematic trend-continuation model • Designed for consistency and repeatability • Suitable for options (calls & puts) or directional trading WHAT THIS IS NOT • Not a liquidity / ICT / MSS engine • Not predictive • Not a scalping strategy • No discretionary signals Best used on trending markets. Avoid sideways conditions around the 200 MA. อินดิเคเตอร์ Pine Script®โดย cole97088
Fundamentals [AletheiaTradeLab]This indicator adds a fundamentals layer to your chart around earning events: 1. EPS YoY % and Sales YoY % On earnings dates you’ll see two percentages: - EPS YoY % = how much this quarter’s earnings per share changed vs the same quarter last year - Sales YoY % = how much this quarter’s revenue changed vs the same quarter last year 2. Acceleration highlight A visual highlight appears when YoY results have been improving for several events in a row (you decide how many). 3. Next earnings countdown The indicator marks the next earnings date on the chart and shows: Countdown = days remaining (Today if it’s the current day) Use it to quickly see how close the next earnings catalyst is while you’re charting. 4. Fundamentals table (ratings + quality metrics + pass/fail). Ratings are computed using formulas I built and run locally. The values displayed here are updated weekly (and may be updated more frequently during earnings season). They are independent interpretations inspired by publicly available concepts from Mike Webster, William O’Neil, and IBD, and are not official IBD ratings. A table on-chart that can show (you choose the rows): - Market cap - EPS Rating (1–99) A percentile-style score that ranks a stock’s earnings strength versus the tracked universe. It blends four components: EPS YoY (Last quarter) EPS YoY (Prior quarter) EPS growth rate (5Y, fallback to 3Y if 5Y is missing) Earnings Stability (lower volatility scores better) Higher is better. A stock with 90 is roughly stronger than ~90% of the universe on this composite. - Sales Rating (1–99) Same idea as EPS Rating, but focused on revenue growth quality. It blends: Sales YoY (Last quarter) Sales YoY (Prior quarter) Sales growth rate (5Y, fallback to 3Y) Sales Stability (lower volatility scores better) - SMR Rating (1–99) A profitability + quality rating inspired by the classic “SMR” concept. It combines four pillars: Sales growth (avg of last 3 quarters) + whether sales are accelerating After-tax margin (recent/avg) + whether margins are improving Pre-tax margin (FY) + whether it’s improving ROE (FY) + whether it’s improving - Earnings / Sales stability - EPS / Sales growth rates (3Y / 5Y) - Profit margins and ROE - Optional pass/fail dots based on thresholds you set. อินดิเคเตอร์ Pine Script®โดย aletheiatradelabที่อัปเดต: 7
PIT Zone IndicatorPOC Levels , Supply & Demand Zones and Institutions buying (Blue ) and Selling (Black ) Activity POC shows where institutions traded the most. 4Hr , Day , Weekly POC. Support is a price zone where buying interest is strong enough to stop or slow down a decline, often causing price to bounce upward. Resistance is a price zone where selling pressure tends to overpower buying, frequently preventing price from moving higher and causing pullbacks. Institutions buying (Blue ) and Selling (Black ) Activity - Institutions buy by absorbing selling at key support zones and sell by absorbing buying at resistance, clear footprints in volume, structure, and price behavior.อินดิเคเตอร์ Pine Script®โดย pradumn25sharma1
Tradix COR Report Index📊 Tradix COT Report Index The Tradix COT Report Index is an advanced market sentiment and positioning tool built on official Commitment of Traders (COT) Report data, designed to reveal how major market participants are truly positioned, beyond what price alone can show. Instead of focusing on short-term price movements, the COT Report Index analyzes real futures positioning reported to the CFTC and categorizes it into three key groups: Commercials – hedgers and so-called smart money Non-Commercials – institutions, funds, and large speculators Retail / Non-Reportables – small traders and crowd positioning Raw positioning data (Long − Short) is transformed into a normalized 0–100 index, allowing traders to instantly identify extreme market sentiment, structural imbalances, and potential turning points — without manually interpreting complex COT tables. 🧠 How the Tradix COT Index Works The index evaluates current net positions within a historical range (typically the last 52 weeks). This contextual approach makes it easy to see: when Commercials are at extreme long or short levels when speculative positioning becomes overcrowded when the market reaches structural imbalance, increasing the probability of a mean-reversion or trend shift By standardizing positioning data, the Tradix COT Index allows cross-market comparison, making it equally useful for indices, commodities, currencies, and futures-based CFDs. 🎯 How Traders Use It The Tradix COT Report Index is not an entry signal tool. Instead, it acts as a high-timeframe confirmation and market context indicator, commonly used for: identifying long-term market bias spotting divergences between price and positioning confirming trend exhaustion or accumulation phases filtering trades to align with institutional positioning When combined with technical analysis, seasonality, and risk management, the COT Index provides a statistical edge rooted in real positioning data, not opinions or lagging indicators. ⚠️ Important Notes COT data is updated weekly, not in real time Best used on higher timeframes (Daily, Weekly) Designed to enhance decision-making, not to replace trading systemsอินดิเคเตอร์ Pine Script®โดย Tomas_Vanek4
PIT Magic Pro IndicatorPOC Levels , Support & Resistance and Magic Level POC shows where institutions traded the most, Support & Resistance show where price previously reacted, and Magic Levels reveal psychological & algorithmic zones — together they create high-probability trading setups.อินดิเคเตอร์ Pine Script®โดย pradumn25sharma2
Asian Stop Hunt ModelSTOP HUNT MODEL – STRATEGY DESCRIPTION The Stop Hunt Model is designed to capture high-probability trades by targeting stop-loss liquidity from retail traders at buy-side and sell-side liquidity zones. The strategy focuses on identifying where liquidity is taken during the Asian session, waiting for a Change of Character (CHoCH), and then entering from unfilled orders (Balanced Price Range / Imbalance) in the direction of the dominant IPDA bias. The objective is to trade from engineered liquidity sweeps toward the next logical liquidity pool, while maintaining strict risk control. The model operates primarily on the 5-minute chart, with early confirmation on the 3-minute chart. The Asian Killzone is used to define the initial range, plotting its high and low. Higher-timeframe liquidity from Daily, 4H, and 1H charts is marked in advance to provide directional context. IPDA direction is determined using macro alignment such as global interest rate bias and long-term trend behavior. Once the Asian session concludes, price is expected to sweep either the high or low of the Asian range or the previous day’s high/low. After the liquidity sweep, the market must show a valid CHoCH, confirming a shift in internal structure. Entries are taken only after the formation and retest of a Balanced Price Range (BPR) created by overlapping imbalances. Trades are executed from these imbalance zones, targeting the next liquidity area, with stop loss placed at the most recent swing high or low. This model prioritizes precision over frequency, aiming for fewer trades with higher reward-to-risk ratios, typically 1:3 or better, and a strict daily risk cap. CHECKLIST – STOP HUNT MODEL 1.Mark Asian Killzone High and Low 2.Identify IPDA directional bias for the pair 3.Mark Buy-side and Sell-side liquidity from Daily, 4H, and 1H 4.Wait for a liquidity sweep (Asian High/Low or Previous Day High/Low) 5.Confirm a valid CHoCH 6.Identify a valid BPR (overlapping imbalance) 7.Enter trade from the BPR zone 8.Target the next liquidity pool 9.Place stop loss at the last swing high or low RULES – STOP HUNT MODEL STRATEGY > Always pre-mark Buy-side and Sell-side liquidity on 1D, 4H, and 1H > Asian Killzone must complete by 10:30 AM IST > After Asian close, mark 15-minute timeframe liquidity > Trade only after the market sweeps the Asian session high or low > Align trades with IPDA direction: > Bullish IPDA → Prefer sweep of Asian Low > Bearish IPDA → Prefer sweep of Asian High > CHoCH confirmation is mandatory: > Green CHoCH for bullish setups > Red CHoCH for bearish setups Setup conditions: 1. Bullish: CHoCH above price + BPR below price 2. Bearish: CHoCH below price + BPR above price 3.BPR must be formed by overlapping imbalances: 4.Red → Green for bullish 5.Green → Red for bearish 6.Look for V-shaped (bullish) or A-shaped (bearish) candle behavior 7.Entry only on imbalance retest — no chase entries 8.Targets must be killzone extremes or next liquidity zone 9.Stop loss must always be at the last swing high or low 10.No manual exits if aiming for 1:3 RR 11.If price sweeps both sides or no clean sweep occurs → No Trade 12.Trade less, execute cleaner setups 13.Daily target: 1% maximum อินดิเคเตอร์ Pine Script®โดย jasiremailที่อัปเดต: 39