MNQ TopStep 50K | Ultra Quality v3.0MNQ TopStep 50K | Ultra Quality v3.0 - Publish Summary
📊 Overview
A professional-grade trading indicator designed specifically for MNQ futures traders using TopStep funded accounts. Combines 7 technical confirmations with 5 advanced safety filters to deliver high-quality trade signals while managing drawdown risk.
🎯 Key Features
Core Signal System
7-Point Confirmation: VWAP, EMA crossovers, 15-min HTF trend, MACD, RSI, ADX, and Volume
Signal Grading: Each signal is rated A+ through D based on 7 quality factors
Quality Threshold: Adjustable minimum grade requirement (A+, A, B, C, D)
Advanced Safety Filters (Customizable)
Mean Reversion Filter - Prevents chasing extended moves beyond VWAP bands
ATR Spike Filter - Avoids trading during extreme volatility events
EMA Spacing Filter - Ensures proper trend separation (optional)
Momentum Filter - Requires consecutive directional bars (optional)
Multi-Timeframe Confirmation - Aligns with 15-min trend (optional)
TopStep Risk Management
Real-time drawdown tracking
Position sizing calculator based on remaining cushion
Daily loss limit monitoring
Consecutive loss protection
Max trades per day limiter
Visual Components
VWAP with 1σ, 2σ, 3σ bands
EMA 9/21 with cloud fill
15-min EMA 50 for HTF trend
Comprehensive metrics dashboard
Risk management panel
Filter status panel
Detailed trade labels with entry, stops, and targets
⚙️ Default Settings (Balanced for Regular Signals)
Technical Indicators
Fast EMA: 9 | Slow EMA: 21 | HTF EMA: 50 (15-min)
MACD: 10/22/9
RSI: 14 period | Thresholds: 52 (buy) / 48 (sell)
ADX: 14 period | Minimum: 20
ATR: 14 period | Stop: 2x | TP1: 2x | TP2: 3x
Volume: 1.2x average required
Session Settings
Default: 9:30 AM - 11:30 AM ET (adjustable)
Avoids first 15 minutes after market open
Customizable trading hours
Safety Filters (Default Configuration)
✅ Mean Reversion: Enabled (2.5σ max from VWAP)
✅ ATR Spike: Enabled (2.0x threshold)
❌ EMA Spacing: Disabled (can enable for quality)
❌ Momentum: Disabled (can enable for quality)
❌ MTF Confirmation: Disabled (can enable for quality)
Risk Controls
Minimum Signal Quality: C (adjustable to A+ for fewer/better signals)
Min Bars Between Signals: 10
Max Trades Per Day: 5
Stop After Consecutive Losses: 2
📈 Expected Performance
With Default Settings:
Signals per week: 10-15 trades
Estimated win rate: 55-60%
Risk-Reward: 1:2 (TP1) and 1:3 (TP2)
With Aggressive Settings (Min Quality = D, All Filters Off):
Signals per week: 20-25 trades
Estimated win rate: 50-55%
With Conservative Settings (Min Quality = A, All Filters On):
Signals per week: 3-5 trades
Estimated win rate: 65-70%
🚀 How to Use
Basic Setup:
Add indicator to MNQ 5-minute chart
Adjust TopStep account settings in inputs
Set your risk per trade percentage (default: 0.5%)
Configure trading session hours
Set minimum signal quality (Start with C for balanced results)
Signal Interpretation:
Green Triangle (BUY): Long signal - all confirmations aligned
Red Triangle (SELL): Short signal - all confirmations aligned
Label Details: Shows entry, stop loss, take profit levels, position size, and signal grade
Signal Grade: A+ = Elite (6-7 points) | A = Strong (5) | B = Good (4) | C = Fair (3)
Dashboard Monitoring:
Top Right: Technical metrics and market conditions
Top Left: Filter status (which filters are passing/blocking)
Bottom Right: TopStep risk metrics and position sizing
⚡ Customization Tips
For More Signals:
Lower "Minimum Signal Quality" to D
Decrease ADX threshold to 18-20
Lower RSI thresholds to 50/50
Reduce Volume multiplier to 1.1x
Disable additional filters
For Higher Quality (Fewer Signals):
Raise "Minimum Signal Quality" to A or A+
Increase ADX threshold to 25-30
Enable all 5 advanced filters
Tighten VWAP distance to 2.0σ
Increase momentum requirement to 3-4 bars
For TopStep Compliance:
Adjust "Max Total Drawdown" and "Daily Loss Limit" to match your account
Update "Already Used Drawdown" daily
Monitor the Risk Panel for cushion remaining
Use recommended contract sizing
🛡️ Risk Disclaimer
IMPORTANT: This indicator is for educational and informational purposes only.
Past performance does not guarantee future results
All trading involves substantial risk of loss
Use proper risk management and position sizing
Test thoroughly in paper trading before live use
The indicator does not guarantee profitable trades
Adjust settings based on your risk tolerance and trading style
Always comply with your broker's and TopStep's rules
Temel Analiz
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.
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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)
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.
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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.
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.
Auto Hourly StatsCredit to wheresbing for the original version. Mine simply provides:
- automatically calculates retrace stats, no need to input anything.
- Also cleaned up the ui a bit
- ability to toggle between hourly data independent of chart timeframes
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.
Gaussian Filter [BigBeluga] Irshad KhanYou can create Alert on Long and short . you can easily get alert on trade .
“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.
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.
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.
Forex Session High/Low TrackerThis indicator maps out each Forex session along with their relative highs and lows.
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.
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.
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%...
MTF Trend Dashboard LITE (Daily & 4H)Overview
The MTF Trend Dashboard LITE by G.C provides instant directional clarity between the Daily and 4-Hour timeframes using refined EMA (9 / 21) logic.
It’s built for traders who want simple, accurate trend confirmation without switching between multiple charts.
Why It Matters
One of the biggest causes of trading errors is timeframe conflict — seeing a bullish setup on one chart and a bearish signal on another.
This tool solves that problem by showing both the Daily and 4H structure side-by-side, using objective EMA-based logic.
When both agree, bias is strong. When they conflict, it’s a signal to wait.
Core Features
• Two-timeframe dashboard ( Daily + 4H )
• Non-repainting EMA (9 / 21) logic
• Color-coded states ( Bullish / Bearish / Neutral )
• Lightweight and easy to read
• Adjustable panel position: Top Right / Top Left / Bottom Right / Bottom Left
How to Use
Add the indicator to any chart.
Wait for both timeframes to align before entering trades.
Mixed signals often indicate sideways or transitional markets.
Combine with your existing trading strategy for confirmation.
Trend Condition Glossary
▲ STRONG BULLISH – EMA(9) well above EMA(21) and both sloping upward. Strong upward momentum with price above both EMAs.
BULLISH – EMA(9) above EMA(21) but weaker slope or price confirmation. Moderate uptrend or early recovery.
NEUTRAL – EMAs crossing or flat. Market lacks structure — consolidation or indecision.
▼ BEARISH – EMA(9) below EMA(21) with limited slope. Mild correction or early reversal.
▼ STRONG BEARISH – EMA(9) below EMA(21), both sloping down, price below both. Strong downtrend, clear seller control.
Who It’s For
Traders who want a clean, no-noise confirmation tool to simplify directional bias decisions in swing and intraday setups.
Disclaimer
This indicator is for analytical and educational purposes only. Always trade with discipline, patience, and sound risk management.
BFM Yen Carry to Risk Ratio (Dynamic Rates)Shows risk of yen carry trade unwinding. Based on cost to borrow from Japan to buy us stocks compared to interest rate in USA.
r - g Oscillator | Norm + Sigma-BandsThe r–g Oscillator measures the macro-liquidity regime by tracking the gap between real interest rates (r) and nominal GDP growth (g).
It approximates real rate pressure using the 10-Year Treasury yield minus the 5-Year/5-Year forward inflation expectation, and compares that to either Real or Nominal U.S. GDP YoY growth.
Green (g > r): Expansionary backdrop — growth outpaces real yields; liquidity tailwinds.
Red (r > g): Contractionary backdrop — real rates restrictive; liquidity headwinds.
The σ-bands (standard-deviation envelopes) highlight statistically extreme expansions or contractions in the r–g spread.
The “sweet-spot” shading marks moments when r–g breaks strongly above/below zero — early-cycle thrusts or late-cycle stress.
Optional normalization rescales r–g between –1 and +1 to compare across cycles.
Use:
Track shifts in the macro tide rather than short-term waves. Sustained green phases typically align with bull-market environments; red phases often coincide with tightening cycles or recessions. Combine with faster liquidity or breadth measures (e.g., WRESBAL ROC) for tactical confirmation.
WRESBAL ROC Oscillator (Clean)This indicator tracks the rate of change in Federal Reserve reserve balances (WRESBAL) to visualize shifts in systemic liquidity. It measures how quickly reserves are expanding or contracting over a chosen lookback window (default 26 weeks), then smooths the result to highlight durable macro trends rather than short-term noise.
Green = expanding reserves → liquidity easing → risk-asset support
Red = contracting reserves → liquidity tightening → headwind for risk assets
The oscillator is designed for macro context rather than short-term trading. It correlates strongly with major equity and credit cycles, often leading inflection points in the S&P 500 and Nasdaq by several weeks.
Use it to identify transitions between QE (quantitative easing) and QT (quantitative tightening) regimes and to gauge the liquidity environment driving broad market behavior.
Gold Total Market Cap By Wave Trader Gold Total Market Cap (Updated 2025)
Overview
This indicator calculates and visualizes the total market capitalization of gold in real-time, based on the current XAUUSD spot price and the estimated above-ground gold supply. It transforms the raw gold price into a scaled "market cap" view (in trillions USD), helping traders contextualize gold's global value—often compared to stocks, crypto, or fiat reserves. As of October 2025, gold's cap hovers around $26–27T, underscoring its status as a premier safe-haven asset.
How It Works
Core Formula: Market Cap = Gold Price (USD/oz) × Total Supply (troy oz), scaled to trillions for chart readability.
Supply Data: Defaults to the World Gold Council (WGC) mid-2025 estimate of ~218,000 metric tonnes (~7.01B troy oz), but customizable for scenarios like historical or projected figures.
Plotted as a smooth yellow line below the price pane, mirroring gold's price movements but in cap terms.
Key Features
Dynamic Label: A real-time label on the yellow line displays the exact market cap (e.g., "26.8") for instant reference, styled like popular TradingView cap indicators.
Reference Line: Horizontal dashed line at 25T USD to highlight key thresholds (e.g., surpassing Bitcoin's cap).
Info Table: Top-right panel shows current gold price and full market cap (e.g., "26.8T USD") for quick stats.
Overlay-Free: Designed for a separate pane to avoid cluttering your main XAUUSD chart.
Data Sources & Customization
Relies on live XAUUSD close prices from TradingView.
Supply input: Switch between "WGC Mid-2025" (default) or custom values—ideal for sensitivity analysis (e.g., adding future mining output).
No external API calls; fully self-contained for fast performance.
Usage Tips
For Gold Traders: Spot divergences between price momentum and cap growth to gauge overbought/oversold conditions.
Portfolio Context: Compare to S&P 500 cap (~$50T) or BTC (~$2T) by adding multi-symbol alerts.
Timeframes: Best on daily/weekly for long-term trends; works on 1H+ for intraday macro views.
Alerts: Set notifications for cap milestones (e.g., "Gold Cap > 28T") via TradingView's alert system.
Track gold's "infinite market cap" evolution—because unlike stocks, gold's supply grows slowly, amplifying price impact. Updated for 2025 data; feedback welcome! 🚀
Chart-prepFxxDanny Chart-Prep
A practical multi-tool script for clean and structured chart preparation.
✨ Features
Weekly Close Levels
Automatically plots the previous week’s close and the week before that, with clear styling to distinguish current and past levels.
Trading Sessions
Colored session boxes for the three key market sessions:
Asia (20:00–23:00 UTC-4)
Europe (02:00–05:00 UTC-4)
New York (08:00–11:00 UTC-4)
Each session box automatically adapts to the session’s high/low range and only keeps the last 5 visible to avoid clutter.
Previous Day’s High & Low
Plots the prior day’s high and low with lines that extend into the current session. Up to 10 days are kept on the chart.
Daily & Weekly Separators
Vertical lines to visually separate days (dotted) and weeks (solid, colored).
Anchored to a rolling price window so the Y-axis scaling stays clean and unaffected.
✅ Benefits
Stay focused with key price levels and session ranges marked automatically.
No need for manual drawing or constant adjustments.
Optimized performance – old objects are automatically removed.
No axis distortion from “infinite” lines or boxes.
CoT Bias Tracker [DOSALGO]Unlock a powerful new dimension in your market analysis with the CoT Bias Tracker . This advanced tool goes beyond price charts to reveal the positioning of the market's largest players, allowing you to track the "smart money" and make more informed trading decisions.
By harnessing the weekly Commitment of Traders (CoT) report, this indicator automatically fetches, processes, and displays the net positioning of Commercials (Hedgers), Non-Commercials (Large Speculators), and Retail traders. Its standout feature is the unique dual-asset analysis for Forex pairs, which automatically breaks down a pair like EURUSD into its Base (EUR) and Quote (USD) components, giving you a crystal-clear view of the capital flows driving the market.
Stop guessing the trend and start tracking the institutional bias that truly matters.
Key Features
📈 Complete CoT Data Analysis: Automatically fetches and displays the latest weekly net positions for three key market participants: Commercials, Non-Commercials, and Retail Traders.
🌍 Unique Forex Pair Analysis: The only tool you'll need for Forex. It intelligently separates pairs (e.g., AUDJPY) into their Base (AUD) and Quote (JPY) currencies and displays a full CoT analysis for each, revealing which currency is truly in demand.
📊 Advanced Bias Dashboard: A comprehensive and fully customizable dashboard provides an at-a-glance summary of the market's sentiment, including current positions, weekly changes, and both short-term and long-term bias readings.
🧠 Conviction Analysis: This indicator goes deeper than just net positions. By analyzing the relationship between positioning changes and Open Interest, it gauges the conviction behind a move, distinguishing between a "Strong Long" (new money entering) and a "Weak Long" (short covering).
🚀 POIV Metric: Includes the Position x Open Interest Volume (POIV) metric, an advanced tool for measuring the cumulative force behind positioning changes over time.
📉 Historical Data Plotting: Visualize the net positioning data and its moving average directly on your chart's indicator pane. This is perfect for identifying historical extremes, divergences, and long-term trends in positioning.
⚙️ Automatic Symbol Recognition: The indicator intelligently detects the asset on your chart—from Forex pairs to indices like the S&P 500 and commodities like Gold—and automatically fetches the correct CoT data.
🎨 Full Customization: Tailor the entire tool to your workspace. Control the dashboard's position, size, and colors. Toggle the visibility of any data row or plot to focus only on what matters to you.
The Dashboard Explained
The dashboard gives you a complete, multi-faceted view of the market's positioning.
Participant Groups:
Commercials: Often considered the "smart money." They use futures to hedge their business operations and typically fade trends, buying into lows and selling into highs.
Non-Commercials: Large speculators like hedge funds and institutions. They are typically trend-followers, and their positioning is a powerful indicator of the current dominant trend.
Retail Traders: Small, non-reportable speculators. They are often seen as a contrarian indicator.
Net Positions & Change: See the raw net long or short positions from the current and previous week's report, along with the net change to understand the weekly capital flow.
S-Term Bias (Short-Term): Based on the weekly net change, this tells you who was buying and who was selling since the last report.
L-Term Bias (Long-Term): Compares the current net position to its moving average to define the dominant positioning trend. (Note: This reading is most effective on the Weekly chart timeframe.)
Conviction (via Open Interest): Found in the "Open Interest" row under the L-Term Bias column, this powerful metric tells you how positions are changing:
Strong Long: New buyers are entering the market with conviction.
Weak Long: Existing shorts are covering their positions.
Strong Short: New sellers are entering the market with conviction.
Weak Short: Existing longs are closing their positions.
Use Cases & Strategy
Trend Confirmation: Use the positioning of Non-Commercials to confirm the strength and direction of a trend you've identified with technical analysis.
Reversal Signals: Look for extreme net positioning levels or divergences between Commercial and Non-Commercial sentiment, which can often precede major market reversals.
Forex Strength Analysis: When trading a pair like GBPJPY, use the dashboard to see if Non-Commercials are strongly bullish on GBP while being bearish on JPY. This "double confirmation" can highlight high-probability trade setups.
Important Notes
Understanding CoT Data: The Commitment of Traders report is released by the CFTC every Friday afternoon (~3:30 PM ET). Crucially, it reflects the positions that were held on the preceding Tuesday. It is a tool for gauging medium- to long-term sentiment, not for intraday signals.
Disclaimer: This tool is for analytical and educational purposes only and should not be considered financial advice. All forms of trading involve risk. Always conduct your own research and apply robust risk management.
MARA / mNAV=1 (x)What it does
This script overlays two signals on the MARA chart:
mNAV=1 fair-value line — the MARA price implied by Bitcoin NAV:
mNAV1 = (BTC price × BTC holdings) / MARA shares
Premium/Discount ratio — how far MARA trades vs. its NAV fair value:
Ratio = Close / mNAV1 (1.00 = fair; >1 = premium; <1 = discount)
Inputs
Shares outstanding (default: 370,460,000)
BTC holdings (official or estimated; you can roll forward +25 BTC/day if you want)
BTC symbol used for pricing (e.g., BTCUSD, BTCUSDT, BTCUSDTPERP)
How to use
When Price < mNAV=1 and Ratio < 1.00 → MARA trades at a discount to BTC NAV (potential mean-reversion if BTC is stable).
When Price > mNAV=1 and Ratio > 1.00 → premium (premium often compresses during BTC chop/weakness).
Rule of thumb (with ~53k BTC and 370.46M shares): +$1,000 BTC ≈ +$0.14 on the mNAV=1 line.
Visuals
Blue line = mNAV=1 (fair value) plotted directly on the MARA chart.
Purple line = Ratio (×) on a separate right-hand scale centered around 1.00.
Optional shading: green when Ratio > 1.05 (+5% premium), red when Ratio < 0.95 (−5% discount).
Alerts (suggested)
Premium > +5%: Ratio > 1.05
Discount < −5%: Ratio < 0.95
Notes
This is a proxy for NAV parity; it assumes your BTC holdings input is correct (official last report or your estimate).
Choice of BTC symbol matters; use the feed that best matches your workflow (spot, perp, or index).
The ratio is most informative when BTC is range-bound; during fast BTC moves MARA can overshoot temporarily.
