BGT+三合一+STEV6🎯 Bottom Line Recommendation
Core Value Proposition:
This is not an indicator that pursues signal quantity, but rather one that refines "numerous and messy" signals into "few but precise" high-probability entry points through a three-layer filtering mechanism, cost-priority principle, and quality scoring system.
Most Suitable for Traders Who:
✅ Want to reduce trading frequency and focus on high-quality opportunities
✅ Use batch position building/scaling-in strategies
✅ Emphasize risk management and cost control
✅ Need trading opportunities in both ranging and trending markets
One-Sentence Summary:
This is a comprehensive trading system with a "Quality > Quantity" design philosophy that uses strict filtering standards to help you avoid 80% of low-quality signals and concentrate on the most profitable 20% of opportunities.
지표 및 전략
ajish cci indexthis script is based on cci.this one is working good in index.you can use the indicator for finding the trend change.well working in 1 minite.
Adaptive Nexus LineAdaptive Nexus Line
Overview
The Adaptive Nexus Line is not just another moving average. It's a next-generation, composite indicator designed to provide a comprehensive and visually intuitive baseline for trend analysis and momentum.
At its core, the Adaptive Nexus Line synthesizes a "cluster" of multiple moving averages into a single, cohesive line. This "average of averages" approach reduces market noise and provides a more stable and reliable representation of the trend than a traditional, single MA. The name reflects its core strengths: "Adaptive" for its intelligent Kalman filter smoothing, and "Nexus" because it serves as a central point, bringing together a wide array of moving average types.
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Key Features
• Composite Engine: Instead of a single MA, the Adaptive Nexus Line averages a user-defined cluster of MAs (e.g., 20 MAs with lengths from 5 to 105). This significantly smooths out price action and reduces false signals.
• Universal MA Selection: The engine supports a comprehensive suite of moving average types, including SMA, EMA, WMA, HMA, VWMA, RMA, ZLMA, and ZMA.
• Momentum Gradient: The indicator's most unique feature is its visual momentum coloring. The line smoothly transitions from red (bearish momentum) through yellow (neutral/indecision) to green (bullish momentum) based on the real-time ratio of rising vs. falling MAs within the cluster.
• Change-Point Signals: A white dot is plotted at the very start of a color change, and a yellow dot is plotted at the end, providing clear signals of potential shifts in momentum.
• Multi-Timeframe (MTF) Support: View the Adaptive Nexus Line from any timeframe directly on your current chart (e.g., plot the 4H line on a 15m chart) to get a better perspective of the higher-level trend.
• Adaptive Kalman Filter: An optional, switchable Kalman filter is included to provide an additional layer of intelligent, adaptive smoothing to the final output line. Its sensitivity is fully adjustable.
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Settings Explained
• Moving Average Settings: Control the core engine. Choose your preferred MA Type, the Number of MAs in the cluster, the Start Length, and the Step between lengths.
• Time Frame: Set the indicator to a higher timeframe for a broader market view. Leave blank to use your chart's current timeframe.
• Kalman Filter Settings: Toggle the Use Kalman Filter on or off. Adjust the Kalman Smoothing Period (higher = smoother) to fine-tune the adaptive smoothing to your preference.
STR StrengthSTR Strength – CE/PE VWAP Deviation + Straddle Volatility Meter
💡 Key Features
🔹 Strength Calculation
Computes Call Strength (CE) and Put Strength (PE) as the deviation of close from intraday VWAP.
Positive strength → trading above VWAP (bullish bias).
Negative strength → trading below VWAP (bearish bias).
🔹 Smoothing Option
Optionally smooths the strength values using a simple moving average for better clarity and trend visibility.
🔹 Volatility Detection
Monitors straddle percentage change per bar (CE + PE combined).
When volatility exceeds your defined threshold, chart background highlights in yellow.
🔹 Live Data Table
Displays real-time metrics at the bottom of the chart:
CE Strength
PE Strength
Total Straddle Value
📊 How to Interpret
Lime Line (CE Strength): Bullish bias in the call option.
Red Line (PE Strength): Bearish bias in the put option.
Yellow Background: Indicates high volatility movement in straddle value.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not provide trading advice or buy/sell signals.
Use responsibly and in conjunction with your market analysis.
Meeting Point TrackerDescription
This script — Options – Meeting Point — visually combines Call (CE) and Put (PE) option candles of the same strike into a single layout, designed for intraday option traders who monitor both legs simultaneously.
💡 Key Features
🔹 Dual Candle Display
Plots CE candles in green/red and PE candles in blue/magenta.
Both legs appear on the same panel — perfect for straddle/strangle monitoring.
🔹 Automatic Symbol Builder
Auto-constructs CE/PE symbols from spot index, expiry, and strike.
Manual override supported for custom inputs.
🔹 Live BEP & Levels(Under testing)
Displays intraday CE/PE highs & lows with dotted lines.
Shows Live Break-Even Points (BEP) for the straddle — updated tick-by-tick.
Optional manual price line for quick visual references.
🔹 VWAP Support
Plots VWAP for both CE and PE options individually (toggleable).
Helps compare momentum and strength between both sides.
🔹 Point of Control (POC)
Calculates dynamic intraday POC using 1-minute price–volume density.
Updates automatically as new data streams in.
🔹 Trade Blocks (Per-Leg)
Define trade details for CALL and PUT independently:
Entry, SL, Target, Quantity, Side (Buy/Sell).
Calculates Live P&L and Status (“Target Hit”, “SL Hit”, or “Live”).(Under testing)
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
It does not constitute financial advice or trade recommendations.
Past performance is not indicative of future results.
YM Sniper Overlay (Bias, Levels, VWAP) — Sweeps + R:RPDH/PDL/ONH/ONL that notifies you when breaking or retest
POC Ghost LevelsPOC Ghost Levels
Disclaimer
IMPORTANT: This indicator is for educational and informational purposes only. It is NOT investment advice, financial advice, trading advice, or a recommendation to buy or sell any security or financial instrument.
Overview
Point of Control (POC) represents the price level with the highest traded volume within a period, developed by J. Peter Steidlmayer at the Chicago Board of Trade (1981-1983). POC shows where institutional traders accumulated their largest positions, acting as strong support/resistance because institutions defend these levels.
Visual Elements
POC Lines (Horizontal): Teal/green lines show active POCs; orange lines indicate mitigated (revisited) levels. The line shows institutional accumulation zones.
"✕" Symbol (Period End): Marks when the calculation period ends (daily/weekly/monthly/yearly). POCs become valid trading reference points only after period completion—the X confirms this transition.
"●" Dot (Mitigation Point): Appears when price retests a POC level (High ≥ POC ≥ Low, or close within 10% of bar range). Virgin POCs (VPCs)—POCs not yet revisited—are even stronger price attractors than regular POCs, acting like gravitational pull that increases as price approaches.
"Ghost Effect": Extended lines represent market memory. POCs act as magnets where price gravitates toward in the future, representing "fair price" where most volume traded.
Trading Theory
All markets are auction processes seeking to maximize volume. Volume is the truest indicator of the market's ability to facilitate trade. Markets not facilitating trade at a given price will move to levels that better facilitate trade. Big institutions cannot enter positions instantly—they accumulate over time. POCs reveal where these positions formed.
Trade the first POC test for highest probability success. In trending markets, POCs confirm trend legs; in ranging markets, POCs act as central magnets.
Key Literature
Steidlmayer, J.P. & Hawkins, S.B. (2003). Steidlmayer on Markets: Trading with Market Profile (2nd ed.). Wiley.
Dalton, J.F., Jones, E.T., & Dalton, R.B. (2012). Mind Over Markets: Power Trading with Market Generated Information. Wiley.
Dalton, J.F., Dalton, R.B., & Jones, E.T. (2007). Markets in Profile: Profiting from the Auction Process. Wiley.
Jardine, M. (2012). Just a Trade a Day: Simple Ways to Profit from Predictable Market Moves. Wiley Trading.
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)
PsyExpansionPanel_v5_KohlhaasThe PsyExpansionPanel measures the energy in the market, combining volatility, momentum, and volume into one composite signal.
It helps identify when a move is genuine and powerful — not just visually strong but backed by volatility and participation.
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⚙️ Core Idea
When the blue line (Expansion Score) rises above the orange line (Threshold),
the market enters an expansion phase — volatility, speed, and participation all increase together.
This is the moment when a move becomes serious and emotionally charged.
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📊 What Each Line Means
• Blue line → Expansion Score (combined energy from ATR%, ROC, and Volume)
• Orange line → Threshold (e.g. 0.75) — when crossed, expansion is active
• Gray line → Neutral zone — calm market, low activity
When the blue line crosses above the orange threshold,
the background turns orange, signaling: Expansion Active.
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🧠 Market Psychology Behind It
During expansion, three things happen at once:
1. Volatility (ATR%) increases → traders become emotional (fear or greed rises)
2. Momentum (ROC) accelerates → price moves faster than usual
3. Volume rises above average → more participants join the move
This combination signals a transition from equilibrium to collective emotional action —
a moment when trends or reversals often begin.
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.
EMA 9, 21 & 50 Indicator with Floating Labels🟢 EMA 9, 21 & 50 Indicator with Floating Labels
📘 Overview
This indicator plots three exponential moving averages (EMAs) to visualize short-, medium-, and longer-term trend structure on any timeframe:
EMA 9 – Bright Green (short-term momentum)
EMA 21 – Bright Yellow (medium-term trend)
EMA 50 – Red (broader trend confirmation)
Each EMA has a floating label on the right edge of the chart, so line identities remain visible as new candles form.
🪶 Features
Clear, fixed colors for easy recognition (Green 9 / Yellow 21 / Red 50)
Floating labels that stay visible off the right edge
Clean overlay compatible with any chart style
Lightweight and fast to render
📈 How to Use
Trend Filter:
Price above 21 & 50 → bullish bias; look for long setups or pullbacks toward the 9/21.
Price below 21 & 50 → bearish bias; look for short setups or rallies into 9/21.
Momentum vs. Structure:
9 EMA = momentum guide for quick swings.
21 EMA = primary trend line for swing entries/exits.
50 EMA = confirmation of broader direction.
🔧 Tips
Analyze trend on Daily or 4H; fine-tune entries on 1H/15m near the 9 or 21 EMA.
Pair with volume or RSI/MACD for extra confirmation at EMA touches/crosses.
Crypto Sessions v1.0This indicator is designed to visualize and track the four major trading sessions. It highlights the Pacific (Sydney), Asia (Tokyo), EU (London) and USA (New York) sessions each with its own distinct color for easy idenitifition.
At the start of each session the script draws a vertical dashed line in the session's color to mark the beggining, with a simple label floating above. As the session progresses it dynamically creates a semi-transparent box that spans the session's duration. The boxes overlap where sessions coincide.
Commodity Pulse Matrix (CPM) [WavesUnchained]Commodity Pulse Matrix (CPM) is a professional multi-timeframe analysis suite built for commodity trading. It compresses dozens of signals into one color-coded matrix to show directional bias and quality across three user-set timeframes, plus optional chart TF. Non-repainting design: HTF values use confirmed bars; rendering is optimized.
Categories:
Flow = MFI, OBV, volume trend, smart-money bias. Momentum = RSI (dynamic zones), MACD histo, CCI, WaveCycle Momentum (adaptive, ATR-normalized). Trend = EMA stack (20/50/100/200), ADX+DI, VWAP positioning. Volatility = ATR%, Williams Vix Fix spikes, squeeze (Bollinger inside Keltner). Structure = price vs key EMAs, pivot S/R alignment. Divergence = regular/hidden on RSI via RDZ, optional MACD, cluster strength; zone-gated and bar-confirmed.
Oscillators:
WCM detects momentum swings with dead-zone filtering and dynamic OB/OS. RDZ finds divergences only in RSI 70/30 zones with optional volume/MFI gate. WVF highlights volatility-shock exhaustion (bottom/top mode) and can feed the exhaustion filter.
Exhaustion module:
Strict 5-point check (RSI extreme, ATR range expansion, volume spike, wick ratio, compressed body) with Watch → Confirmed logic and optional reversal-zone boxes from pivots. Squeeze detector flags contraction and first expansion.
Matrix and visuals:
Compact or detailed grid; 4-layer heat gradient; ▲/▼/• symbols; action badges (Setup/Neutral); optional VWAP cross markers (session, anchored high/low, clusters). Overlay options: EMA gradient fill, AVWAP (session/week/month), S/R lines, divergence diamonds (teal/amber), exhaustion triangles, squeeze dots. Performance friendly (updates on last bar).
Scoring:
Each category scores −3…+3, weighted by importance (default: Flow 1.2, Momentum 1.0, Trend 1.0, Volatility 0.6, Structure 1.0, Divergence 1.4). Confluence bands: ≥ +8 strong bull, ≥ +4 moderate bull, ≤ −4 moderate bear, ≤ −8 strong bear; otherwise neutral. Heat score (0–1) blends magnitude, TF alignment, divergence strength, and volume confirmation.
Configuration:
Presets Intraday/Swing/Carry or full Custom. Adjustable weights, thresholds, oscillator params (WCM, RDZ, WVF), HTF-confirmed mode, matrix layout, alert conditions. Works on commodities, FX, indices; 1m to Monthly.
How to use:
Wait for TF alignment and high confluence; use reversal zones and divergence/exhaustion for timing. Trend follow: all TFs green, pullback to EMA20, stop below EMA50. Divergence: diamond appears, matrix flips, enter with confirmation. Squeeze: contraction then expansion in matrix direction.
Notes:
Pine v6. Non-repainting by design. Optimized security calls and UI throttling. Alert-ready. Backtest before live trading; manage risk; news context matters.
Disclaimer:
Educational only. Not financial advice. Past performance is not indicative of future results.
BMSB Watchlist Alert - Daily w/ 1% Proximity# Bull Market Support Band - Daily Updates with Proximity Alerts
## Overview
This indicator tracks the Bull Market Support Band (20-week SMA and 21-week EMA) with daily resolution updates and proximity warnings. The weekly moving averages update every day on your chart, giving you more frequent signals than traditional weekly-only scripts.
## What It Does
The script monitors price action relative to the BMSB and generates alerts for:
- Price crossing above or below either the 20W SMA or 21W EMA
- Price coming within 1% of either moving average (early warning system)
This proximity feature is useful for catching potential support/resistance tests before they actually happen, giving you advance notice to prepare for entries or exits.
## Key Features
- Weekly MAs that update daily for more responsive monitoring
- Configurable proximity threshold (default 1%, adjustable from 0.1% to 5%)
- Visual proximity zones shown as dotted lines around each MA
- Color-coded background highlighting (green when above both MAs, red when below both, orange when in proximity zone)
- On-chart labels for crosses and proximity warnings
- Status table showing current position relative to the band
## Setup for Watchlist Alerts
1. Add the indicator to any chart
2. Create alerts using these conditions:
- "BMSB Cross Alert" - fires on actual crosses
- "BMSB Proximity Alert" - fires when entering the 1% zone
3. Set interval to 1 day (recommended) or 4 hour for more frequent checks
4. Use "Once Per Bar Close" for the trigger option
5. Apply the same alert to your entire watchlist
## Settings
You can toggle on/off:
- Cross above alerts
- Cross below alerts
- Proximity alerts
- Proximity percentage adjustment
- Visual elements (labels, MA lines, proximity zones)
## Notes
The BMSB is commonly used in crypto markets to identify bull market pullback support levels. This implementation adds the proximity warning system to help you anticipate potential tests of these key levels rather than waiting for confirmed crosses.
Works on any timeframe but designed for daily monitoring of weekly moving averages.
RSI Zones + Swing Divergences + OB/OS zones By HappyRsi with + divergences/ convergences + OB/OS zones
hidden bull/bear
Wyckoff Effort vs. Result📌 Wyckoff Effort vs. Result (E/R) – Visualizing Supply & Demand Imbalance with Volume Confirmation
📖 Overview
The Wyckoff Effort vs. Result (E/R) indicator is designed to help traders interpret market behavior through the lens of volume vs. price movement — a foundational concept in Richard Wyckoff’s methodology.
This tool aims to highlight moments where the “effort” (volume) is not in proportion to the “result” (price movement) — giving insight into potential accumulation or distribution events.
By detecting high-volume candles and classifying them based on their price direction, the indicator visualizes zones where smart money might be active .
⚙️ How It Works
1. Effort Accumulation (High Volume Down Bar):
• When a candle closes lower than it opens (down bar) and has above-average volume , it’s marked as potential absorption of selling pressure (effort to push down met by buying).
• These candles are colored red and the open level is plotted, acting as a potential support or re-test zone.
2. Effort Distribution (High Volume Up Bar):
• When a candle closes higher than it opens (up bar) and has above-average volume , it’s marked as potential distribution (effort to push up absorbed by sellers).
• These candles are colored green and the open level is plotted , acting as a potential resistance or rejection zone.
3. Average Volume Calculation:
• The script calculates a simple moving average (SMA) of volume over a user-defined lookback period.
• If current volume exceeds the average multiplied by a set threshold, it’s treated as a high-effort bar .
🧪 Inputs
Input Description
Average Volume Lookback - Number of bars used to calculate the volume average
High Volume Multiplier. - Multiplier to define what qualifies as “high volume”
🖥️ Visual Output
• 🔴 Red candles = High volume on a down bar → possible accumulation
• 🟢 Green candles = High volume on an up bar → possible distribution
• 📉 Horizontal lines at bar open price mark the potential zones where effort occurred
These zones can serve as:
• Areas of support/resistance
• Trap zones where smart money absorbs liquidity
• Entry/exit filters when combined with price action
🧠 How to Use
• Use in combination with price structure, support/resistance, and volume profile tools
• Watch how price reacts when it revisits the plotted lines
• Look for effort bars that fail to lead to continuation, signaling potential reversal
• Can be used in scalping, swing trading, or Wyckoff-style phase analysis
🔒 Technical Notes
• ✅ Does not repaint
• ✅ Built with Pine Script v6
• ✅ Lightweight and customizable
• ❌ Does not generate buy/sell signals — it provides context, not predictions
KKF RangeIts a very unique range indicator that uses stochastics and volume bookmap and radp to view current trend to identify potential entries.
CISD & OB [BLAZ]Version 1.0 – Published October 2025: Initial release
1. Overview & Purpose
The CISD & OB indicator identifies and plots Order Blocks (OB) and Changes in State of Delivery (CISD) on price charts using a strict rule-based approach designed to highlight structural turning points and continuation zones in price action. It automatically detects these formations when price creates confirmed swing highs or lows, followed by opposing directional moves that break predefined structural levels.
Detection logic is consistently applied across all market conditions, allowing the indicator to identify areas where notable price reactions or liquidity shifts have occurred. These levels are plotted as horizontal lines on the chart and are updated in real time to reflect the latest structural developments, helping traders visualise potential reversal or continuation zones.
The methodology used in this indicator represents the author's specific approach to Order Block and CISD identification, incorporating custom criteria for swing validation and confirmation logic that differ from standard implementations. Detection operates entirely mechanically, without discretionary intervention, to ensure consistency and objectivity across use cases. This indicator functions on all standard timeframes and supports multiple asset classes, including Forex, Stocks, Cryptocurrencies, Futures, and Commodities.
The indicator is unique in its ability to apply detection logic to a custom timeframe, enabling multi-timeframe structural analysis without switching charts. Let’s begin by explaining key terminologies based on the author’s perception to aid in understanding the functionality of the indicator.
2. Order Block (OB)
An Order Block is identified when price creates a swing high or swing low followed by a directional move that closes beyond the open of the opposing candle(s) structure.
2.1. For bearish Order Blocks:
Price must form a confirmed swing high (higher than surrounding candles).
A subsequent bearish candle must close below the open of the bullish candle(s) that created the swing high.
2.2. For bullish Order Blocks:
Price must form a confirmed swing low (lower than surrounding candles).
A subsequent bullish candle must close above the open of the bearish candle(s) that created the swing low.
The indicator only validates Order Blocks where the structural formation meets minimum swing criteria and the confirming move demonstrates sufficient momentum beyond the identified level.
3. Change in State of Delivery (CISD)
A CISD occurs when a valid Order Block forms in the opposite direction to the previously confirmed Order Block, indicating a potential shift in market structure.
3.1. Formation criteria:
A bullish CISD forms when a valid bullish Order Block is detected after the most recent confirmed structure was a bearish Order Block.
A bearish CISD forms when a valid bearish Order Block is detected after the most recent confirmed structure was a bullish Order Block.
Each CISD represents the first opposing Order Block in a sequence, distinguishing it from continuation Order Blocks that follow in the same direction.
The indicator tracks the sequence of Order Block formations to automatically classify each new structure as either a CISD (directional change) or continuation Order Block based on the preceding confirmed structure.
4. Detection Logic & Visual Management
The indicator continuously scans price action in real time, validating only those patterns that meet predefined technical thresholds. Once a structure is confirmed, it is plotted as a horizontal line extending from the origin candle’s open to the confirming close.
To maintain chart clarity, the script integrates automatic display management, limiting the number of plotted lines according to user-defined settings. Independent styling options are available for bullish and bearish structures, including colour, width, and line thickness. CISD and OB structures are styled separately to provide a clear distinction between reversal and continuation events.
Developing structures appear as dotted potential horizontal lines until they are validated, at which point they transition to solid lines. The indicator also allows users to restrict visibility of plotted lines above a selected timeframe, ensuring that higher timeframe charts remain clean and readable.
If configuration settings conflict, such as incompatible timeframe or visibility filters, the indicator displays on-chart warning messages to guide users in adjusting their setup appropriately.
The indicator supports multi-timeframe plotting capability, allowing structures identified on higher timeframes to be visualised directly on the active lower timeframe chart. This feature allows traders to observe how market structures align across multiple timeframes, providing greater confirmation of overall trend direction, reinforcing analytical confidence through cross‑timeframe confluence, and ensuring short‑term decisions remain aligned with the prevailing market context.
Traders can configure alerts to receive notifications when new CISD or OB structures are confirmed. Alerts are fully customisable via the indicator input settings and can be defined by direction (bullish/bearish) and pattern type (OB or CISD).
5. Usage Instructions
5.1. Alert Setup:
Enable "Set Alert?" toggle in indicator settings.
Configure alert preferences for specific pattern types.
On the chart, click the three dots menu beside the indicator's name or press Alt + A.
Select "Add Alert" and click “Create” to activate the alert.
Alerts trigger when new patterns are confirmed.
5.2. Display Controls:
Use "Bullish Lines" and "Bearish Lines" toggles to show/hide patterns by direction.
Adjust line quantity settings (1-25) to control how many patterns display simultaneously.
Enable “Timeframe” to apply detection logic to a higher timeframe of choice, displaying CISD and OB patterns directly on the active chart.
5.3. Visibility Filter:
Use “Show below” to limit indicator visibility to specific timeframes. When enabled, the indicator hides automatically on any timeframe equal to or higher than the selected setting.
5.4. Appearance Customisation:
Toggle “CISD” or “OB” on/off to show or hide individual pattern types.
Modify colours and line widths independently for bullish and bearish structures.
The “Show potential line” option displays developing patterns as dotted horizontal lines until confirmed.
5.5. Warning Message:
Enable “Show warning messages” to display on‑chart guidance for conflicting or invalid configurations.
Choose the preferred message box position and colour styling for readability.
6. Protected Logic & Original Design
This indicator has been developed from the ground up using proprietary algorithms and a custom structural classification logic derived from original research into Order Block and CISD identification methods. The internal mechanics, including real-time pre-confirmation logic, multi-timeframe adaptation, directional classification sequencing, and automated display management, are not based on any publicly available script or third-party resource.
7. Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice, investment recommendations, or trading signals. All trading and investment decisions remain solely the responsibility of the user.
Trading financial instruments involves substantial risk of loss. Past performance of any trading methodology or indicator does not guarantee future results. Users should conduct their own research and consider consulting with qualified financial professionals before making trading decisions.
The indicator's pattern detection is based on technical analysis principles and should be used as part of a comprehensive trading approach. No trading tool can guarantee profitable outcomes or eliminate market risk.
By using this indicator, users acknowledge they understand these risks and accept full responsibility for their trading decisions and outcomes.
BTS_ORB_V1.0Description
This indicator displays Opening Range Breakouts (ORB) based on a fully customizable time window — for example, 15, 30, or 60 minutes after the market open.
All parameters can be adjusted: start time, end time, range display, and chart visualization.
Additionally, alerts can be triggered on closed candles, both for breakouts above and below the defined range.
Perfect for traders who rely on precise breakout signals after the opening phase and want to automate their strategies with smart alerts.
With this ORB indicator you can:
• Customize the opening range window
• Set automatic breakout alerts on candle close
• Test different timeframes (e.g. 15 min / 60 min / custom)
• Visualize clean long and short breakout zones
Short Only Bot (3Commas Webhook Uyumlu)Short işlem açmaya ce 3commans ile uyumlu hacim odaklı indikatör. halka açık herkes kullanabilir.
