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Crypto ETFs AUM📘 Description: BTC ETFs AUM Tracker This indicator tracks the Assets Under Management (AUM) and daily inflows/outflows of the main U.S.-listed Bitcoin ETFs, allowing you to visualize institutional capital movement into Bitcoin products over time. It helps traders correlate institutional capital movement with Bitcoin price behavior. 🧩 Overview The script adds up the daily AUM changes from selected Bitcoin ETFs to estimate the total net inflow/outflow of capital into spot BTC funds. It also accumulates those flows over time to display the total aggregated AUM balance, giving you a clearer sense of market direction and institutional sentiment. Two display modes are available: Balance view: plots the cumulative sum of net inflows (total ETF AUM). Inflows view: shows daily inflows (green) and outflows (red) as histogram columns, together with a smoothed moving average line. ⚙️ Inputs Explained Base Settings Base Multiplier (base_multi) – Scaling factor applied to all AUM values. Leave at 1 for USD units, or adjust to display values in millions (1e6) or billions (1e9). Smoothing (c_smoothing) – Period length for the simple moving average used to calculate the smoothed mean inflow/outflow line. Show Balance (showBalance) – When enabled, displays the total cumulative AUM balance (sum of all net inflows over time). Show Inflows (showInflows) – When enabled, displays the daily inflows/outflows as colored columns. ETF Selection You can toggle which ETFs are included in the calculation: BIT (BlackRock) GBTC (Grayscale) FBTC (Fidelity) ARKB (ARK/21Shares) BITB (Bitwise) EZBC (Franklin Templeton) BTCW (WisdomTree) BTCO (Invesco Galaxy) BRRR (Valkyrie) HODL (VanEck) Each switch determines whether the ETF’s AUM and daily flow data are included in the total calculation. 📊 Displayed Values Green Columns → Positive daily net inflows (AUM increased). Red Columns → Negative daily net outflows (AUM decreased). Orange Line → Smoothed moving average of net flows, used to identify persistent inflow/outflow trends. Blue Line (if enabled) → Total cumulative AUM balance (sum of all historical flows). 💡 Usage Notes Works best on daily timeframe, since ETF data is typically updated once per trading day. Not all ETFs have identical data history; missing data points are automatically skipped. The indicator doesn’t represent official fund NAV or guarantee data accuracy — it visualizes TradingView’s public financial feed. You can combine this tool with price action or on-chain metrics to analyze institutional Bitcoin flows. Note: Some ETF data may not be available to all users depending on their TradingView data subscription or market access. Missing values are automatically skipped. 🧠 Disclaimer This script is for educational and analytical purposes only. It is not financial advice, and no investment decisions should be based solely on this indicator. Data accuracy depends on TradingView’s financial data sources and exchange reporting frequency.
אינדיקטור Pine Script®
מאת ‎mks17‎
1
Global Risk Terminal – Multi-Asset Macro Sentiment IndicatorDescription: The Global Risk Terminal is a sophisticated macro sentiment indicator that synthesizes signals from three key cross-asset relationships to produce a single, actionable risk appetite score. It is designed to help traders and investors identify whether global markets are in a risk-on (growth-seeking) or risk-off (defensive) regime. The indicator analyzes the behavior of commodities, equities, bonds, and currencies to generate a comprehensive view of market conditions. Indicator Output: The Global Risk Terminal produces a normalized risk score ranging from -1 to +1: Positive values indicate risk-on conditions (growth assets favored) Negative values indicate risk-off conditions (safe-haven assets favored) Core Components: Growth Pulse (Copper to Gold Ratio, HG/GC) Purpose: Measures investor preference for industrial growth versus safe-haven assets. Interpretation: Rising ratio → Copper outperforming gold → Risk-on environment Falling ratio → Gold outperforming copper → Risk-off environment Flat ratio → Transitional market phase Technical Implementation: Dual moving average slope method (fast MA default 20, slow MA default 40). Positive slope = +1, negative slope = -1, flat slope = 0 Equity Rotation (Russell 2000 to S&P 500 Ratio, RTY/ES) Purpose: Tracks rotation between small-cap and large-cap equities, revealing market risk appetite. Interpretation: Rising ratio → Small-caps outperforming → Strong risk-on Falling ratio → Large-caps outperforming → Defensive positioning Technical Implementation: Dual moving average slope method (same as Growth Pulse) Flow Gauge (10-Year Treasury to US Dollar Index, ZN/DXY) Purpose: Captures liquidity conditions and cross-asset capital flows. Interpretation: Rising ratio → Treasury prices rising or USD weakening → Liquidity expansion, risk-on environment Falling ratio → Treasury prices falling or USD strengthening → Liquidity contraction, risk-off environment Technical Implementation: Dual moving average slope method Composite Risk Score Calculation: Analyze each component for trend using dual moving averages Assign signal values: +1 (risk-on), -1 (risk-off), 0 (neutral) Average the three signals: Risk Score = (Growth Pulse + Equity Rotation + Flow Gauge) / 3 Optional smoothing with exponential moving average (default 3 periods) to reduce noise Interpreting the Risk Score: +0.66 to +1.0: Full risk-on – favor cyclical sectors, small-caps, growth strategies +0.33 to +0.66: Moderate risk-on – mostly bullish environment, watch for fading momentum -0.33 to +0.33: Neutral/transition – markets in flux, signals mixed, exercise caution -0.66 to -0.33: Cautious risk-off – favor defensive sectors, reduce high-beta exposure -1.0 to -0.66: Full risk-off – strong defensive positioning, prioritize safe-haven assets How to Use the Global Risk Terminal to Frame Trades: Aligning Trades with Market Regime Risk-On (+0.33 and above): Look for buying opportunities in cyclical stocks, high-beta equities, commodities, and emerging markets. Use long entries for swing trades or intraday positions, following confirmed price action. Risk-Off (-0.33 and below): Shift focus to defensive sectors, large-cap quality stocks, U.S. Treasuries, and safe-haven currencies. Prefer short entries or reduced exposure in risky assets. Entry and Exit Framing Use the risk score as a macro filter before executing trades: Example: The risk score is +0.7 (strong risk-on). Prefer long positions in equities or commodities that are showing bullish confirmation on your regular chart. Conversely, if the risk score is -0.7 (strong risk-off), avoid aggressive longs and consider short or defensive trades. Watch for threshold crossings (+/-0.33, +/-0.66) as potential inflection points for adjusting position size, stop-loss levels, or sector rotation. Confirming Trade Decisions Combine the Global Risk Terminal with price action, volume, and trend indicators: If equities rally but the risk score is declining, this may indicate a fragile rally driven by few leaders—trade cautiously. If equities fall but the risk score is rising, consider counter-trend entries or buying dips. Risk Management and Position Sizing Strong alignment across components → increase position size and hold with wider stops Mixed or neutral signals → reduce exposure, tighten stops, or avoid new trades Defensive regimes → rotate into stable, low-volatility assets and increase cash buffer Framing Trades Across Timeframes Use the indicator as a strategic guide rather than a precise timing tool. Even without the MTF table: Daily trend alignment → Guide swing trade bias Shorter timeframe price action → Refine entry points and stop placement Example: Daily chart shows +0.6 risk score → identify high-probability long setups using intraday technical patterns (breakouts, trend continuation). Sector and Asset Rotation Risk-On: Focus on cyclical sectors (financials, industrials, materials, energy), small-caps, high-beta instruments Risk-Off: Focus on defensive sectors (utilities, consumer staples, healthcare), large-caps, safe-haven instruments Alert Integration Set alerts on the risk score to notify you when markets move from neutral to risk-on or risk-off regimes. Use these alerts to plan entries, exits, or portfolio adjustments in advance. Customization Options: Moving Average Length (5–100): Adjust sensitivity of trend detection Score Smoothing (1–10): Reduce noise or see raw risk score Visual Themes: Six preset themes (Cyber, Ocean, Sunset, Monochrome, Matrix, Custom) Display Options: Show or hide component dashboards, main header, risk level lines, gradient fill, and component signals Label Size: Tiny, Small, Normal, Large Alert Conditions: Risk score crosses above +0.66 → Strong risk-on Risk score crosses below -0.66 → Strong risk-off Risk score crosses zero → Neutral line Risk score crosses above +0.33 → Moderate risk-on Risk score crosses below -0.33 → Moderate risk-off Data Sources: HG1! – Copper Futures (COMEX) GC1! – Gold Futures (COMEX) RTY1! – Russell 2000 E-mini Futures (CME) ES1! – S&P 500 E-mini Futures (CME) ZN1! – 10-Year U.S. Treasury Note Futures (CBOT) DXY – U.S. Dollar Index (ICE) Notes and Limitations: Works best during clear macro regimes and aligned trends Use with price action, volume, and other technical tools Not a standalone trading system; serves as a macro context filter Equal weighting assumes all three components are equally important, but market conditions may vary Past performance does not guarantee future results Conclusion: The Global Risk Terminal consolidates complex cross-asset signals into a simple, actionable score that informs market regime, portfolio positioning, sector rotation, and trading decisions. Its user-friendly layout and extensive customization options make it suitable for traders of all experience levels seeking macro-driven insights. By framing trades around risk score thresholds and combining macro context with tactical execution, traders can identify higher-probability opportunities and optimize position sizing, entries, and exits across a wide range of market conditions.
אינדיקטור Pine Script®
מאת ‎joeljohnrussell‎
ZTCRYPTOLAB - LiquidityZTCRYPTOLAB — Liquidation See the market’s likely liquidation pockets as clean, readable “heat bars.” The script groups nearby levels into a single bar, sizes the bar by strength, shows a compact value label (K/M/B/T) inside the bar, and automatically fades levels once price takes them out. snapshot What it does (plain-English) Finds likely liquidation zones above and below current price at three “tiers” (roughly like 25× / 50× / 100×). Groups nearby levels into one clear bar so your chart doesn’t turn into spaghetti. Makes stronger zones look wider (more eye-catching) and prints a value pill in K/M/B/T so you can compare strength at a glance. Fades levels once they’re hit so you instantly see what’s still in play vs. what was already taken. Quick start (how to use) Add to chart on the symbol/timeframe you trade. In the settings, the only control most traders touch is “Max live levels (Top-N)”. Lower = cleaner, only the best zones. Higher = more detail. Zoom out to view big cluster magnets. Zoom in to see them split into more precise lines. Use wide, nearby bars as targets, magnets, or caution zones. Combine with your entries, stop placement, and risk rules. Tip: For very busy charts, start with Top-N around 80–100 on intraday, 40–80 on swing. Raise only if you need more context. Inputs you’ll actually use Max live levels (Top-N): Caps how many live bars can appear after pruning. Everything else is tuned for clarity out-of-the-box. (Pre-tuned so you don’t have to fiddle) Reference price: HLCC4 (balanced) Density: Fine (crisper separation) Tier-1 (25×) sensitivity slightly boosted so you see more actionable near-term zones How to read the chart Bar color = Tier (25× / 50× / 100×). Bar width = Relative strength (wider = stronger). Value pill = Strength in K/M/B/T. Faded bar = That pocket was taken by price—left for context, no longer active. Suggested setups by timeframe Scalping (1–5m): Top-N 80–120. Expect bars to merge more when zoomed out; zoom in for fine detail. Intraday (15–60m): Top-N 80–100. Balanced view of magnets around current session. Swing (4H–1D): Top-N 40–80. Use the longest-standing wide clusters as swing targets/areas of interest. Best practices Treat bars as areas, not razor-thin lines. Look for confluence (e.g., HTF levels, fair value gaps, session highs/lows). Use wide nearby bars to scale out or tighten risk, not as the only reason to trade. FOR MORE PREMIUM INDICATORS VISIT OUR WHOP : whop.com/ztcryptolab
אינדיקטור Pine Script®
מאת ‎ZTCRYPTOLAB‎
Piotroski F-Score المنهج العلمي: ما هو نموذج بيوتروسكي F-Score؟ نموذج F-Score هو نظام تصنيف رقمي تم تطويره في عام 2000 من قبل جوزيف بيوتروسكي (Joseph Piotroski)، أستاذ المحاسبة في جامعة ستانفورد. الهدف من هذا النموذج هو قياس القوة المالية للشركات ذات القيمة (Value Stocks)، وتحديداً تلك التي لديها نسبة "القيمة الدفترية إلى القيمة السوقية" (Book-to-Market) مرتفعة. الفكرة الأساسية هي فرز الشركات "الرخيصة" ظاهرياً، والتمييز بين تلك التي تتحسن أساسياتها المالية (الرابحون) وتلك التي تتدهور (الخاسرون). يعتمد النموذج على تسعة معايير بسيطة، مقسمة إلى ثلاث فئات رئيسية. تحصل الشركة على نقطة واحدة عن كل معيار تحققه، ولا تحصل على شيء إذا لم تحققه. النتيجة النهائية هي مجموع هذه النقاط، وتتراوح من 0 (الأسوأ) إلى 9 (الأفضل). المعايير التسعة (كيف يتم حساب النقاط): أ) الربحية (Profitability) - (4 نقاط محتملة) صافي الدخل إيجابي (ROA > 0): هل حققت الشركة ربحاً في العام الأخير؟ (نقطة واحدة) التدفق النقدي التشغيلي إيجابي: هل ولّدت الشركة نقداً من عملياتها الأساسية؟ (نقطة واحدة) جودة الأرباح (التدفق النقدي > صافي الدخل): هل التدفق النقدي التشغيلي أعلى من صافي الدخل؟ هذا يشير إلى أن الأرباح ليست مجرد قيود محاسبية. (نقطة واحدة) تحسن العائد على الأصول (ROA): هل العائد على الأصول هذا العام أفضل من العام الماضي؟ (نقطة واحدة) ب) الرافعة المالية والسيولة (Leverage & Liquidity) - (3 نقاط محتملة) 5. انخفاض الرافعة المالية: هل انخفضت نسبة الدين طويل الأجل إلى الأصول هذا العام مقارنة بالعام الماضي؟ (نقطة واحدة) 6. تحسن النسبة الحالية (Current Ratio): هل تحسنت سيولة الشركة قصيرة الأجل هذا العام؟ (نقطة واحدة) 7. عدم إصدار أسهم جديدة: هل قامت الشركة بتخفيف ملكية المساهمين الحاليين عن طريق إصدار أسهم جديدة خلال العام؟ (تحصل على نقطة إذا لم تصدر أسهماً جديدة). ج) الكفاءة التشغيلية (Operating Efficiency) - (2 نقطة محتملة) 8. تحسن هامش الربح الإجمالي: هل زاد هامش الربح الإجمالي هذا العام مقارنة بالعام الماضي؟ (نقطة واحدة) 9. تحسن معدل دوران الأصول: هل زادت كفاءة الشركة في استخدام أصولها لتوليد المبيعات هذا العام؟ (نقطة واحدة) تفسير النتائج: نتيجة قوية (8-9 نقاط): تشير إلى أن الشركة في وضع مالي قوي جداً وأساسياتها تتحسن بشكل ملحوظ. نتيجة محايدة (3-7 نقاط): وضع الشركة مستقر ولكن لا توجد إشارات قوية على تحسن أو تدهور كبير. نتيجة ضعيفة (0-2 نقاط): تشير إلى أن أساسيات الشركة المالية ضعيفة وقد تكون في مسار تدهور. 2. كيفية استخدام المؤشر على TradingView الكود الذي قدمته يجعل من السهل تطبيق هذا التحليل المعقد بنقرة زر. التطبيق على الرسم البياني: أضف المؤشر إلى الرسم البياني. سيظهر في نافذة منفصلة أسفله، ويعرض خطاً يمثل قيمة F-Score عبر الزمن. فهم المدخلات (الإعدادات): Symbol (الرمز): كما في المؤشر السابق، اتركه فارغاً لتحليل السهم الحالي، أو أدخل رمز سهم آخر للمقارنة. Period (الفترة): يتيح لك اختيار الفترة المالية التي يتم على أساسها حساب المعايير التسعة. FY (سنوي) هو الخيار الأكثر شيوعاً لأنه يقارن أداء الشركة على أساس سنوي، وهو ما يتوافق مع تصميم النموذج الأصلي. قراءة المخرجات البصرية: خط F-Score: يوضح قيمة المؤشر تاريخياً. هل كانت الشركة قوية مالياً في الماضي؟ هل تحسنت مؤخراً؟ الخطوط المتقطعة: الخط الأخضر عند 8 والخط الأحمر عند 2 يمثلان حدود المناطق القوية والضعيفة. الخلفية الملونة: تقدم ملخصاً بصرياً سريعاً: أخضر: الشركة قوية جداً (F-Score ≥ 8). أحمر: الشركة ضعيفة (F-Score ≤ 2). بدون لون: الشركة في المنطقة المحايدة. الاستخدام العملي في التحليل: فلترة الأسهم القيمة: الاستخدام الأساسي للنموذج هو فلترة الأسهم التي تبدو "رخيصة" (مثلاً، لديها نسبة سعر إلى ربح منخفضة). سهم رخيص مع F-Score مرتفع (8 أو 9) هو مرشح استثماري واعد. سهم رخيص مع F-Score منخفض (0-2) هو على الأرجح "فخ قيمة" (value trap) يجب تجنبه. تتبع التحولات: راقب الشركات التي ينتقل مؤشرها من المنطقة الضعيفة إلى المنطقة المحايدة أو القوية. هذا قد يكون مؤشراً مبكراً على تحول إيجابي في أداء الشركة. تجنب المخاطر: الشركات التي لديها F-Score منخفض باستمرار هي شركات يجب التعامل معها بحذر شديد، حتى لو بدت أسعارها مغرية. أداة تكميلية: F-Score هو أداة كمية ممتازة، لكن يجب دمجها دائماً مع تحليل نوعي (فهم نموذج عمل الشركة، إدارتها، وميزتها التنافسية). In English 1. The Scientific Method: What is the Piotroski F-Score? The F-Score is a numerical scoring system developed in 2000 by Joseph Piotroski, an accounting professor at Stanford University. The model's purpose is to measure the financial strength of value stocks, specifically those with a high book-to-market ratio. The core idea is to sift through seemingly "cheap" companies and distinguish between those whose financial fundamentals are improving (the "winners") and those whose fundamentals are deteriorating (the "losers"). The model is based on nine simple criteria, divided into three main categories. A company earns one point for each criterion it meets and zero if it doesn't. The final score is the sum of these points, ranging from 0 (worst) to 9 (best). The Nine Criteria (How Points are Scored): A) Profitability (4 possible points) Positive Net Income (ROA > 0): Did the company make a profit in the last year? (1 point) Positive Operating Cash Flow: Did the company generate cash from its core operations? (1 point) Quality of Earnings (Cash Flow > Net Income): Is operating cash flow higher than net income? This suggests earnings are not just accounting-driven. (1 point) Improving Return on Assets (ROA): Is this year's ROA better than last year's? (1 point) B) Leverage & Liquidity (3 possible points) 5. Lower Leverage: Did the long-term debt-to-assets ratio decrease this year compared to last year? (1 point) 6. Improving Current Ratio: Has the company's short-term liquidity improved this year? (1 point) 7. No New Share Issuance: Did the company dilute existing shareholders by issuing new shares during the year? (1 point is awarded if it did not issue new shares). C) Operating Efficiency (2 possible points) 8. Improving Gross Margin: Did the gross profit margin increase this year compared to last year? (1 point) 9. Improving Asset Turnover: Did the company's efficiency in using its assets to generate sales improve this year? (1 point) Interpreting the Score: Strong Score (8-9 points): Indicates the company is in a very strong financial position and its fundamentals are improving significantly. Neutral Score (3-7 points): The company's situation is stable, but there are no strong signals of major improvement or deterioration. Weak Score (0-2 points): Indicates the company's financial fundamentals are weak and may be on a deteriorating path. 2. How to Use the Indicator on TradingView The code you provided makes applying this complex analysis as simple as a click. Applying to the Chart: Add the indicator to a chart. It will appear in a separate pane below, displaying a line representing the F-Score's value over time. Understanding the Inputs (Settings): Symbol: As with the previous indicator, leave it blank to analyze the current stock, or enter another ticker for comparison. Period: This allows you to select the fiscal period on which the nine criteria are based. FY (Fiscal Year) is the most common choice as it compares the company's performance on a year-over-year basis, which aligns with the model's original design. Reading the Visual Outputs: F-Score Line: Shows the historical value of the score. Was the company financially strong in the past? Has it improved recently? Dashed Lines: The green line at 8 and the red line at 2 mark the thresholds for the strong and weak zones. Colored Background: Provides a quick visual summary: Green: The company is very strong (F-Score ≥ 8). Red: The company is weak (F-Score ≤ 2). No Color: The company is in the neutral zone. Practical Use in Analysis: Filtering Value Stocks: The model's primary use is to filter stocks that appear "cheap" (e.g., have a low P/E ratio). A cheap stock with a high F-Score (8 or 9) is a promising investment candidate. A cheap stock with a low F-Score (0-2) is likely a "value trap" and should be avoided. Tracking Turnarounds: Keep an eye on companies whose score moves from the weak zone into the neutral or strong zone. This could be an early indicator of a positive turnaround in the company's performance. Risk Avoidance: Companies with a persistently low F-Score are ones to be very cautious about, even if their prices look tempting. A Complementary Tool: The F-Score is an excellent quantitative tool, but it should always be combined with qualitative analysis (understanding the business model, management, and competitive landscape)
אינדיקטור Pine Script®
מאת ‎AhmedAminTC‎
Altman Z-Score Indicator 1. المنهج العلمي: ما هو نموذج ألتمان Z-Score؟ نموذج Z-Score هو صيغة إحصائية متعددة المتغيرات تم تطويرها في عام 1968 من قبل البروفيسور إدوارد ألتمان (Edward Altman)، أستاذ التمويل في جامعة نيويورك. الهدف الأساسي للنموذج هو التنبؤ باحتمالية إفلاس شركة مساهمة عامة خلال العامين التاليين. يعتمد النموذج على دمج خمس نسب مالية أساسية، يتم استخلاصها من القوائم المالية للشركة (قائمة الدخل والميزانية العمومية). يتم ضرب كل نسبة في معامل (وزن) محدد، ثم يتم جمع النتائج للحصول على قيمة واحدة هي "Z-Score". المعادلة الأساسية للشركات الصناعية العامة (وهي التي يطبقها الكود): `Z = 1.2 X₁ + 1.4 X₂ + 3.3 X₃ + 0.6 X₄ + 1.0 X₅` حيث أن: X₁ = (رأس المال العامل / إجمالي الأصول): يقيس سيولة الشركة على المدى القصير. رأس المال العامل المرتفع يعني أن الشركة لديها أصول متداولة كافية لتغطية التزاماتها قصيرة الأجل. X₂ = (الأرباح المحتجزة / إجمالي الأصول): يقيس الربحية التراكمية للشركة وقدرتها على تمويل أصولها من أرباحها الخاصة بدلاً من الديون. X₃ = (الأرباح قبل الفوائد والضرائب (EBIT) / إجمالي الأصول): يقيس كفاءة الشركة في تحقيق أرباح من أصولها قبل احتساب تكاليف التمويل والضرائب. إنها مؤشر قوي على الربحية التشغيلية. X₄ = (القيمة السوقية لحقوق الملكية / إجمالي الالتزامات): يقيس الرافعة المالية للشركة. كلما انخفضت قيمة الشركة السوقية مقارنة بديونها، زاد خطر الإفلاس. X₅ = (إجمالي الإيرادات (المبيعات) / إجمالي الأصول): يعرف بـ "معدل دوران الأصول". يقيس مدى كفاءة الشركة في استخدام أصولها لتوليد المبيعات. تفسير النتائج (مناطق التصنيف): قام ألتمان بتحديد ثلاث مناطق لتصنيف الشركات بناءً على قيمة Z-Score: 1. منطقة الخطر (Distress Zone) | Z < 1.81: الشركات التي تقع في هذه المنطقة لديها احتمالية عالية جداً لمواجهة صعوبات مالية قد تؤدي إلى الإفلاس. 2. المنطقة الرمادية (Grey Zone) | 1.81 ≤ Z ≤ 2.99: الشركات في هذه المنطقة تقع في وضع غير مؤكد. لا يمكن تصنيفها بأنها آمنة أو في خطر وشيك، وتتطلب تحليلاً أعمق. 3. المنطقة الآمنة (Safe Zone) | Z > 2.99: الشركات التي تحقق نتيجة في هذه المنطقة تعتبر في وضع مالي سليم ومستقر، واحتمالية إفلاسها منخفضة جداً. 2. كيفية استخدام المؤشر على TradingView الكود الذي قمت بتطويره يجعل استخدام هذا النموذج سهلاً للغاية. إليك كيفية استخدامه بفعالية: 1. التطبيق على الرسم البياني: أضف المؤشر إلى الرسم البياني لأي سهم ترغب في تحليله. سيظهر المؤشر في نافذة منفصلة أسفل الرسم البياني للسعر. 2. فهم المدخلات (الإعدادات): Symbol (الرمز): يمكنك ترك هذا الحقل فارغاً ليقوم المؤشر بتحليل السهم الحالي على الرسم البياني تلقائياً. أو يمكنك إدخال رمز سهم آخر (مثلاً `AAPL` أو `MSFT`) لتحليل تلك الشركة ومقارنتها بالشركة الحالية. Fiscal Period (الفترة المالية): هذا هو أهم إعداد. يتيح لك اختيار البيانات التي سيعتمد عليها التحليل: `FY` (سنوي): يستخدم بيانات آخر سنة مالية كاملة. هذا هو الخيار الأكثر شيوعاً واستقراراً. `FQ` (ربع سنوي): يستخدم بيانات آخر ربع مالي. هذا الخيار أكثر حساسية للتغيرات قصيرة المدى. `TTM` (آخر 12 شهراً): يستخدم البيانات المجمعة لآخر 12 شهراً. يوفر نظرة حديثة ومستمرة. 3. قراءة المخرجات البصرية: خط Z-Score: هو الخط الرئيسي للمؤشر. حركته عبر الزمن توضح كيف يتغير الوضع المالي للشركة. هل يتحسن (الخط يرتفع) أم يتدهور (الخط ينخفض)؟ الخطوط المتقطعة: الخط الأخضر عند `2.99` والخط الأحمر عند `1.81` يمثلان حدود المناطق (الآمنة والخطر). عبور خط Z-Score لهذه الحدود يعتبر إشارة هامة. الخلفية الملونة: هي أسرع طريقة لمعرفة وضع الشركة الحالي: أخضر: الشركة في المنطقة الآمنة. أصفر (رمادي): الشركة في المنطقة الرمادية. أحمر: الشركة في منطقة الخطر. 4. الاستخدام العملي في التحليل: التحليل الاتجاهي: لا تنظر فقط إلى القيمة الحالية. راقب اتجاه خط Z-Score على مدى عدة سنوات. شركة يرتفع مؤشرها باستمرار من 1.5 إلى 2.5 هي في مسار تحسن، بينما شركة ينخفض مؤشرها من 4.0 إلى 3.1 قد تكون في بداية مسار تدهور. إشارات الإنذار المبكر: إذا انخفض Z-Score لشركة ما تحت 2.99 ودخل المنطقة الرمادية، فهذه دعوة للبدء في تحليل أعمق لأسباب هذا الانخفاض. إذا انخفض تحت 1.81، فهذه إشارة خطر واضحة يجب أخذها على محمل الجد. المقارنة بين الشركات: استخدم حقل `Symbol` لمقارنة الصحة المالية لشركتين في نفس القطاع. أي منهما لديها Z-Score أعلى وأكثر استقراراً؟ تأكيد التحليل الأساسي: استخدم هذا المؤشر كأداة مساعدة بجانب تحليلاتك الأخرى، وليس كأداة وحيدة لاتخاذ القرار. فهو لا يأخذ في الاعتبار عوامل مثل الإدارة، الميزة التنافسية، أو ظروف السوق الكلية. --- In English 1. The Scientific Method: What is the Altman Z-Score Model? The Z-Score model is a multivariate statistical formula developed in 1968 by Dr. Edward Altman, a Professor of Finance at New York University. The primary objective of the model is to predict the probability of a publicly traded company going bankrupt within the next two years. The model works by combining five key financial ratios derived from a company's financial statements (the income statement and balance sheet). Each ratio is multiplied by a specific coefficient (weight), and the results are summed up to produce a single value: the "Z-Score." The Original Formula for Public Manufacturing Companies (which your code implements): `Z = 1.2 X₁ + 1.4 X₂ + 3.3 X₃ + 0.6 X₄ + 1.0 X₅` Where: X₁ = (Working Capital / Total Assets): Measures the company's short-term liquidity. High working capital indicates the company has sufficient current assets to cover its short-term liabilities. X₂ = (Retained Earnings / Total Assets): Measures the company's cumulative profitability and its ability to finance its assets with its own profits instead of debt. X₃ = (Earnings Before Interest and Taxes (EBIT) / Total Assets): Measures the company's efficiency in generating profits from its assets before accounting for financing costs and taxes. It's a strong indicator of operational profitability. X₄ = (Market Value of Equity / Total Liabilities): Measures the company's financial leverage. The more a company's market value declines relative to its debt, the higher the bankruptcy risk. X₅ = (Total Revenue (Sales) / Total Assets): Known as "Asset Turnover." It measures how efficiently the company is using its assets to generate sales. Interpreting the Score (The Zones of Discrimination): Altman identified three zones to classify companies based on their Z-Score: 1. Distress Zone | Z < 1.81: Companies in this zone have a very high probability of facing financial distress that could lead to bankruptcy. 2. Grey Zone | 1.81 ≤ Z ≤ 2.99: Companies here are in an uncertain position. They cannot be classified as either safe or in imminent danger and require deeper analysis. 3. Safe Zone | Z > 2.99: Companies with a score in this zone are considered to be in a sound and stable financial position, with a very low probability of bankruptcy. 2. How to Use the Indicator on TradingView The code you've developed makes using this model incredibly easy. Here is how to use it effectively: 1. Applying to the Chart: Add the indicator to the chart of any stock you wish to analyze. The indicator will appear in a separate pane below the price chart. 2. Understanding the Inputs (Settings): Symbol: You can leave this blank for the indicator to automatically analyze the current stock on the chart. Alternatively, you can enter another stock ticker (e.g., `AAPL` or `MSFT`) to analyze that company and compare it to the current one. Fiscal Period: This is the most important setting. It lets you choose the data on which the analysis is based: `FY` (Fiscal Year): Uses data from the last full fiscal year. This is the most common and stable option. `FQ` (Fiscal Quarter): Uses data from the last fiscal quarter. This option is more sensitive to short-term changes. `TTM` (Trailing Twelve Months): Uses aggregated data from the last 12 months, providing a recent and rolling view. 3. Reading the Visual Outputs: Z-Score Line: This is the main plot of the indicator. Its movement over time shows how the company's financial health is evolving. Is it improving (line goes up) or deteriorating (line goes down)? Dashed Lines: The green line at `2.99` and the red line at `1.81` represent the thresholds for the Safe and Distress zones. The Z-Score line crossing these thresholds is a significant signal. Colored Background: This is the quickest way to see the company's current status: Green: The company is in the Safe Zone. Yellow (Grey): The company is in the Grey Zone. Red: The company is in the Distress Zone. 4. Practical Use in Analysis: Trend Analysis: Don't just look at the current value. Observe the trend of the Z-Score line over several years. A company whose score is consistently rising from 1.5 to 2.5 is on an improving path, whereas a company whose score is falling from 4.0 to 3.1 may be at the beginning of a deteriorating path. Early Warning Signals: If a company's Z-Score drops below 2.99 into the Grey Zone, it's a call to start a deeper analysis into the reasons for this decline. If it drops below 1.81, it is a clear danger signal that must be taken seriously. Peer Comparison: Use the `Symbol` input field to compare the financial health of two companies in the same sector. Which one has a higher and more stable Z-Score? Fundamental Analysis Confirmation: Use this indicator as a supplementary tool alongside your other analyses, not as a sole decision-making tool. It does not account for factors like management quality, competitive advantage, or macroeconomic conditions.
אינדיקטור Pine Script®
מאת ‎AhmedAminTC‎
ICT Kill-Zones / SessionsICT Kill-Zones / Sessions — TheDTCEdu Edition This indicator visually maps out ICT Killzones and key market sessions (New York, London, Tokyo/Asian, and London Close) directly on your chart — making it easy to identify high-probability trading windows and liquidity shifts. Each session is displayed with a shaded range to help you quickly spot: Time-based confluences between sessions Intraday reversals and continuation zones Market maker manipulation windows Daily range structure and potential setups 🔹 Sessions Included: New York (07:00–10:00) London (02:00–05:00) Tokyo/Asian (19:30–24:00) London Close (10:00–12:00) 🔹 Features: Adjustable sessions and colors Optional range overlays and dividers Daily separators with weekday labels Clean, minimal design for ICT-style price action traders ⚙️ Important: To ensure your killzones align correctly, set your chart timezone (bottom-right corner of the chart) to New York . 📈 Ideal for traders studying ICT concepts, time-based confluences, or session-volume correlations across FX, indices, or commodities.
אינדיקטור Pine Script®
מאת ‎TheDTCEduOfficial‎
Trend DashboardTrend Dashboard Indicator The Trend Dashboard is a custom TradingView Pine Script v5 indicator designed to provide a comprehensive analysis of Bitcoin (BTCUSD) market trends across multiple timeframes. It evaluates eight popular technical indicators—RSI, MACD, EMA, Bollinger Bands, ADX, Aroon, Volume, and Ichimoku Cloud—and displays their bullish, bearish, or neutral status in a clear, color-coded table in the bottom-right corner of the chart. Additionally, it calculates an overall trend assessment based on the collective signals of these indicators, making it a valuable tool for traders seeking a quick, at-a-glance view of market conditions.
אינדיקטור Pine Script®
מאת ‎linyejia‎
London Midpoint Raid [Plazo Sullivan Roche Capital]London Midpoint BOS AI™ – User Manual By Plazo Sullivan Roche Capital Core Strategy in a Nutshell The London Midpoint BOS AI™ is a precision intraday tool built on ICT and Smart Money Concepts (SMC) principles. It identifies London session reversal-to-continuation setups that align with higher-timeframe (HTF) bias and true market intent. In essence: When the Daily and 4H structure is bullish, the market often dips below equilibrium during London’s early volatility to grab liquidity before resuming upward. Conversely, in a bearish structure, it typically spikes above equilibrium before continuing downward. The tool automatically detects: HTF Bias (Daily + H4) via EMA or structure logic Yesterday’s mid-range (equilibrium) Intraday Break of Structure (BOS) on your 2–5-minute chart Volume expansion, confirming institutional displacement Optional VWAP confluence for extra precision When all filters align, the script marks BUY or SELL signals during the London Killzone (02:30–04:30 NY time) — when 70% of the day’s institutional liquidity is set. What’s in It for You Benefit Description 🎯 Ultra-High Precision Entries Trades only when price sweeps the prior day’s equilibrium and confirms BOS with real volume expansion. 🧩 Institutional Logic, Simplified Combines ICT, SMC, and Goldbach bias confirmation without clutter — showing only signals that matter. ⚙️ Adaptive Multi-Timeframe Bias Auto-syncs with your Daily & H4 direction, ensuring you only trade with macro momentum. 🔔 Alert-Ready for Automation BUY and SELL alert conditions are pre-built for webhook integration with cTrader or brokers. 📊 Clean Dashboard Interface Real-time HTF bias panel keeps you aligned with the larger market context. ⏱ Session-Specific Smart Filtering Restricts signals to the London Killzone for maximum precision and volatility efficiency. Best Usage Guide ✅ Recommended Chart & Assets Chart timeframe 2-minute to 5-minute Higher timeframes monitored 4H and Daily Pairs & Assets EURUSD, GBPUSD, XAUUSD (Gold), DXY, NAS100 Session London Killzone – 02:30 to 04:30 New York time Ideal Market Conditions Asian session forms a narrow, defined range (low volatility). Price sweeps below or above yesterday’s midpoint during early London volatility. HTF bias is clear and unconflicted (both Daily and 4H agree). A strong BOS candle with volume expansion appears immediately after sweep. VWAP alignment supports the intended direction. Avoid trading: Mixed HTF signals (Daily bullish, H4 bearish). Large fundamental days (CPI, NFP, FOMC). Markets already heavily trending with no retracement. Tool Settings Breakdown Session Control Limit to London Killzone Filters signals only between 02:30–04:30 NY time. HTF Bias Method EMA or Structure Choose how Daily/H4 bias is determined. Midpoint Logic Require Sweep of Yesterday’s Midpoint Only triggers signals after liquidity sweep around yesterday’s mid-level. Volume Confirmation Volume SMA Length, Volume Expansion ≥ Confirms BOS with a spike in relative volume. VWAP Confluence Require VWAP alignment Adds institutional volume reference for more accurate trades. Display Options Show Dashboard, Show Midpoint, Show Labels Customize visibility of components for clarity. How to Interpret Signals BUY Signal (Bullish Setup) HTF (Daily & H4) bias = Bullish Price sweeps below yesterday’s midpoint A BOS up forms on the 2–5m chart Volume expansion confirms displacement Optional VWAP confluence: Price above VWAP deal Entry: Buy on retracement to the BOS candle midpoint or a micro Fair Value Gap (FVG). Target: First partial at 1R or prior high Final target near London session high or daily liquidity level SELL Signal (Bearish Setup) HTF (Daily & H4) bias = Bearish Price sweeps above yesterday’s midpoint A BOS down forms on the 2–5m chart Volume expansion confirms displacement Optinal VWAP confluence: Price below VWAP Ideal Entry: Sell on retracement to BOS candle midpoint or micro FVG fill. 🎯 Target: First partial at 1R or session equilibrium Final target at London low or key liquidity pocket Best Setup Configuration Parameter Recommended Value Timeframe 2-minute or 3-minute HTF Bias Method EMA (20) Require Sweep of Midpoint ✅ Enabled Volume Expansion ≥ 1.5x to 2.0x average VWAP Filter ✅ Enabled Session Limit ✅ London Killzone (02:30–04:30 NY) Display Dashboard ON, Midpoint ON, Labels ON This configuration yields an excellent balance of signal clarity, precision, and frequency — typically 2–4 valid trades per week per pair, with average R:R of 2.5–4.0. Pro Tips for Maximum Edge Bias Confirmation: Always double-check that Daily and H4 structure are aligned before entering. Session Timing: Wait for the London open (02:30–03:00 NY). Avoid early pre-London signals. Volume Clues: The best trades come when BOS candles show clear displacement — wide-range, high-volume bars. Liquidity Targets: Focus on previous day’s high/low, session highs/lows, or obvious liquidity pools. Psychological Precision: Don’t chase; let the tool print the signal after the sweep, then wait for confirmation. 🔔 Alerts & Automation Pre-built alert conditions: BUY: London Midpoint BOS SELL: London Midpoint BOS Use them for: Webhook connections (e.g., cTrader, MT5, or Discord alerts). External trade execution bots or journaling tools. 🏁 Summary The London Midpoint BOS AI™ distills institutional concepts into a clean, actionable framework for traders who want to: Trade only high-probability London setups Filter out noise and fake reversals Align entries with HTF direction and real liquidity intent It’s your daily edge to capture the most profitable 90-minute window in global forex — the London Killzone, where precision beats volume every time.
אינדיקטור Pine Script®
מאת ‎PlazoSullivanRocheCapital‎
DCA with the Money Supply Index DCA with the Money Supply Index (MSI) by zdmre This strategy is based on the Money Supply Index (MSI) by zdmre and enhances it with two functional options for users: a DCA (Dollar-Cost Averaging) approach and a signal-based buy/sell mode. It’s designed to help traders and investors make data-driven, disciplined entry decisions based on monetary supply trends. 🧠 Concept Overview The Money Supply Index (MSI) provides insight into how liquidity (money supply) influences market movements. This strategy builds upon that foundation by allowing users to either: Accumulate positions over time using DCA, based on favorable MSI conditions. Execute a single buy and sell trade, optimized for bull market conditions. ⚙️ Inputs Explained General Parameters Start Bar Index / Stop Bar Index Defines the range of bars (historical data) for backtesting or strategy visualization. Long DCA Activates the DCA mode. If unchecked, the strategy operates in single-entry/single-exit signal mode. Trading Signal Enables signal-based entries and exits when the MSI reaches predefined thresholds. DCA Parameters Entry Value The MSI value that triggers a DCA buy event. When the MSI crosses below this value, the strategy considers it a favorable moment to deploy the saved capital. Saved Amount The amount of money set aside regularly (e.g., monthly) for investment. This simulates the DCA effect by accumulating capital and deploying it when conditions are optimal. Data Inputs Money Supply The data source for the Money Supply Index (default: ECONOMICS:USM2). Relational Symbol The market instrument to compare against the money supply (default: NASDAQ_DLY:NDX). This allows the strategy to measure liquidity impact on a specific market. Chart Display Options You can toggle these metrics on the chart for better visualization: Entry Price (green) – The price level of executed buys. Cash Balance (yellow) – Remaining uninvested capital. Invested Capital (red) – Total amount currently invested. Current Value (blue) – The current valuation of the investment. Profit (purple) – The total realized and unrealized profit. Trades on Chart / Signal Labels / Quantity – Enables trade markers, signal text, and position size visualization. 📈 How the Strategy Works 1️⃣ DCA Mode In DCA mode, the strategy simulates periodic savings and only invests when the MSI indicates favorable liquidity conditions (based on the Entry Value). This approach aims to achieve the best possible average entry price over time — a powerful strategy for long-term investors seeking stable accumulation with reduced emotional bias. 2️⃣ Signal-Based Mode In signal mode (with DCA disabled), the strategy performs one buy and one sell trade based on MSI turning points. It’s most effective during bull markets, where liquidity expansion supports upward momentum. This mode helps identify high-probability entry and exit zones rather than averaging in continuously. 💡 Additional Notes This strategy includes helpful metrics to monitor your personal investment performance — showing invested capital, cash reserves, and profit in real-time. The goal is to combine macroeconomic insight (money supply) with disciplined execution and capital management. ⚠️ Disclaimer This strategy is for educational and research purposes only. It does not constitute financial advice. Always conduct your own analysis before making investment decisions.
אסטרטגיית Pine Script®
מאת ‎MightyCologne‎
“VWAP Precision Suite — EMA Cloud + RTH Anchored Zones”🧠 “VWAP Precision Suite — EMA Cloud + RTH Anchored Zones” (Alternative titles for testing engagement) “VWAP Zone Pro — EMA Cloud + RTH Levels” “VWAP Fusion System — EMA Bias & Daily Anchors” “Session Flow Pro — VWAP + EMA Trend Matrix” 📜 Description 🔹 Overview The VWAP Precision Suite is an all-in-one market structure indicator built for intra-day precision and trend confirmation. It combines institutional-grade tools — VWAP bands, EMA trend zones, and RTH high/low anchors — to help traders identify momentum shifts, session extremes, and volume-weighted fair value zones in real time. Whether you’re a scalper, swing trader, or futures/day trader, this tool adapts to any trading style with fully customizable inputs. ⚙️ Core Features ✅ Dynamic VWAP Bands — plots ±1/2 ATR deviation zones around the VWAP for intraday fair-value mean reversion and trend extension tracking. ✅ EMA Cloud Zone (9/21 by default) — identifies short-term bias shifts using a color-coded cloud between EMAs. ✅ RTH High/Low Mapping — tracks live session high/low levels plus the previous day’s anchors. ✅ Anchored VWAP (Daily Reset) — plots rolling session VWAP using volume-weighted price action for precision mean tracking. ✅ Trend Color Background — visually highlights bias direction for quick momentum reads. ✅ Customizable Everything — modify EMA lengths, VWAP ATR multipliers, visibility toggles, and background colors to fit your playbook. 🧩 Suggested Starter Settings Use these settings to begin, then fine-tune to your strategy: Setting Recommended Description VWAP Bands ✅ On ±1×ATR for precision zones EMA Zone ✅ On Fast EMA: 9 / Slow EMA: 21 Anchored VWAP ✅ On Daily reset for new session RTH High/Low ✅ On Shows live and prior session levels Trend Background ✅ On Visual bias filter Color Scheme Green = Bullish Bias / Red = Bearish Bias 💡 Tip: Scalpers can tighten ATR multipliers (0.8–1.2). Swing traders can widen ATR multipliers (1.5–2.0). Adjust EMA 9/21 to faster (5/13) or slower (20/50) based on volatility. 📊 Use Case Examples 📈 Fade the VWAP deviation band and ride back to mean. 🔁 Trade reversals using EMA cloud color flips. 🕒 Mark confluence between Anchored VWAP + RTH highs/lows for breakout zones. 💹 Combine with order-flow or volume profile for higher conviction. ⚠️ Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk and may result in losses. The author is not responsible for any financial decisions made using this tool. Always use sound risk management and back test before trading live. © 2025. All rights reserved. Redistribution or resale of this indicator, in full or in part, is strictly prohibited without the author’s written consent.
אינדיקטור Pine Script®
מאת ‎TradeswithB‎
Reversal Nexus Pro Suite — Smart Scalper/Swing Trader/Hybrid 📝 Description The Reversal Suite (5–15m) is a dynamic price-action-driven indicator built for scalpers and intraday traders who want to catch high-probability reversals with precision. This system combines SFP (Swing Failure Patterns), Volume Climax filters, EMA bias, and momentum confirmation logic — all customizable to match your personal trading style. The default configuration is tuned for NASDAQ futures (NQ1!) and similar indices on 5–15-minute charts, but it can adapt seamlessly to crypto, forex, and equities. ⚙️ How It Works The indicator looks for exhaustion points in price where: Volume Climax confirms liquidity sweeps, EMA bias determines directional filters (single or dual-EMA), Reclaim and rejection mechanics confirm structure shifts, Momentum thrust ensures strength on reversal confirmation. Each setup requires multi-factor alignment to reduce noise and increase signal precision. 🧩 Default Custom Settings (Recommended Start) Setting Value Description Mode Custom Enables full manual control Signals must align within N bars 6 Forces confluence across recent bars TP1 / TP2 (R-Multiples) 1.5 / 2.5 Default reward zones RSI Divergence Enabled Adds secondary reversal confirmation Volume Climax Enabled Detects high-volume exhaustion Vol SMA Length 21 Volume baseline calculation Climax ≥ k × SMA 7 Strength multiplier for volume spikes EMA Length 200 Trend bias reference Bias Both Allows both long and short setups Dual EMA Bias Enabled Uses fast (21) vs slow (100) bias tracking Min Distance from EMA Bias 2.55% Filter to avoid signals too close to MAs Reclaim Buffer After Sweep 0.22% Ensures valid break-and-reclaim setups Max Bars for Retest 1 Tight retest condition Momentum Thrust Confirm Enabled Ensures volume and price thrust Body ≥ ATR -6 Controls candle thrust sizing TR SMA Length 20 Measures dynamic volatility Body ≥ k × TR-SMA -4.4 Confirms structure-based rejection Opposite-Signal Exit Enabled Auto-clears opposite signals Opposite Signal Window 5 bars Short-term conflict filter Swing Lookback (SFP) 2 Finds recent liquidity highs/lows Cooldown Bars After Signal 8 Prevents over-triggering 🟢 Inputs are fully adjustable, so traders can optimize for: Scalping (lower EMA, smaller swing lookback) Swing trading (higher EMA, larger retest window) Aggressive vs conservative confirmations 🧭 Recommended Use Works best on 5m–15m timeframes Pair with VWAP or EMA cloud overlays for directional context Use Trend Guard to align only with higher-timeframe trend Ideal for indices, forex majors, and large-cap stocks 🚀 Highlights ✅ Smart confluence-based reversal detection ✅ Built-in retest and rejection logic ✅ Dual EMA and volume climax filters ✅ Customizable momentum thrust confirmation ✅ Optimized for scalpers and intraday swing traders 🧱 Suggested Layout Chart type: Candlestick Timeframe: 5m or 15m Overlay: VWAP / EMA Cloud / ORB Zone Optional filters: ATR Bands, Volume Profile (VPVR), Session Boxes ⚠️ Disclaimer The Reversal Nexus Pro indicator is provided for educational and informational purposes only. It is not financial advice and should not be interpreted as a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risk and may not be suitable for all investors. Past performance does not guarantee future results. Always perform your own analysis and use proper risk management before placing any trades. The author of this script is not responsible for any financial losses or decisions made based on the use of this tool. By using this indicator, you acknowledge that you understand these terms and accept full responsibility for your own trading results. © 2025. All rights reserved. Redistribution or resale of this indicator, in full or in part, is strictly prohibited without the author’s written consent.
אינדיקטור Pine Script®
מאת ‎TradeswithB‎
CloudShiftCloudShift + Bollinger Bands This version of CloudShift now includes fully optimized Bollinger Bands with all three dynamic lines: Upper Band: Highlights expansion during volatility spikes. Lower Band: Identifies compression and accumulation zones. Centerline (Basis): A smooth reference of the moving average, providing better visual balance and directional context. The bands are drawn with thin, clean lime lines, designed to integrate perfectly with the cloud logic — keeping your chart minimalist yet powerful. This update enhances the CloudShift indicator by providing a clear visual framework of market volatility and structure without altering its original logic. Recommended for use on: NASDAQ, S&P 500, and other high-volatility futures. Recommended timeframe: 5–15 minutes.
אינדיקטור Pine Script®
מאת ‎THEGREATNAPLESTRADERX‎
COT Raw Net Positions📊 What the COT Raw Data Shows — and Why It’s So Valuable The COT Raw view displays the actual net positions of each trader group (Commercials, Large Speculators, and Retail/Small Traders) as reported weekly by the CFTC. Instead of normalizing or smoothing the data, it shows the real contract numbers — how many futures contracts each group is long or short. This raw form of the data offers pure transparency into market positioning. It allows traders to: See the true scale of institutional buying or selling pressure. Understand how different market participants are behaving week to week. Spot early accumulation or distribution phases long before they become visible on price charts. Compare multiple assets side by side to gauge relative strength across markets. While the COT Index simplifies things by showing where current positions sit relative to history, the COT Raw view provides context and depth — helping experienced traders understand why those extremes are forming. In essence: 📈 COT Raw = the foundation of the data — it shows what’s really happening under the surface. It’s a must-have for traders who want to study institutional flows, analyze correlations, and confirm macro sentiment shifts directly from the source. ⚠️ Note: As with all COT-based tools, the data updates weekly and is best interpreted on weekly or higher timeframes.
אינדיקטור Pine Script®
מאת ‎SDprof‎
COT INDEX🧠 What the COT (Commitment of Traders) Report Tells Us The COT report is one of the most powerful tools for understanding what’s happening behind the price. Published weekly by the CFTC (Commodity Futures Trading Commission), it shows how different groups of market participants — mainly Commercials (hedgers), Large Speculators (funds), and Retail/Small Traders — are positioned in the futures markets. In simple terms: Commercials (like producers and large corporations) usually trade against the trend to hedge risk. Large Speculators (like hedge funds and institutions) often drive the trend. Retail traders tend to follow late and are often positioned on the wrong side at turning points. By tracking these positions, traders can spot extreme sentiment levels — moments when big players are heavily long or short. Such extremes often precede major market reversals or trend continuations. That’s why the COT indicator is so valuable: It reveals the real market positioning of institutions versus retail. It helps identify contrarian opportunities when the crowd is overexposed. It provides a macro-level confirmation for swing or position trades. ⚠️ Note: Because the COT data is released once per week, this indicator is designed to work only on weekly charts — it’s a long-term sentiment and positioning tool, not a short-term timing signal.
אינדיקטור Pine Script®
מאת ‎SDprof‎
BTC Price Spread Heatmap (Coinbase vs Binance (chart symbol))Observation was made about price spread varying among exchanges. Original event took place Oct 4-5th. BIN/BTC was about 1K lower than COIN/BTC. Implemented a visualization to capture specifically Binance and coinbase spread comparison. This may lend as a tool to help build a case if there is a correlation. At this time Binance holds 43.1% of the market share and coinbase a mear 5.5%...
אינדיקטור Pine Script®
מאת ‎HyptoCrypto_‎