Quantum Trading MatrixThe Quantum Trading Matrix is a sophisticated Pine Script indicator designed for TradingView that offers a comprehensive trading dashboard by combining multiple market analysis techniques in one interface. The indicator integrates price action, volume, momentum, trend detection, institutional activity, and technical oscillators to provide traders a unified perspective on the market.
At its core, the script uses fundamental market data like price (open, high, low, close) and volume to calculate various metrics. The VWAP (Volume Weighted Average Price) is a key element that helps traders understand if the price is trading above or below the average price weighted by volume, indicating market strength or weakness. The distance of the current price from the VWAP is computed as a percentage to signal how far the price has diverged from this benchmark.
Momentum is measured through a "Quantum Momentum Oscillator" derived from the difference between fast and slow exponential moving averages of price. Positive momentum signals bullish conditions while negative momentum signals bearish ones. Volume flow analysis breaks down buying versus selling pressure on each bar by observing where the close price lies within the daily range combined with volume, generating an order flow ratio. This aids in identifying if buyers or sellers dominate the market at a given time.
Trend detection involves calculating EMAs of different lengths (8, 21, and 50) and aggregating their relationships into a trend score. Scores range from strong uptrend to downtrend, providing a clear directional bias. Institutional activity is inferred by detecting volume spikes significantly above the average volume, suggesting large players might be active. A dark pool estimate provides an approximate volume figure representing hidden or off-exchange trading.
The script also identifies market structure by detecting pivot highs and lows which act as resistance and support levels, respectively. These levels offer valuable insight into potential price reversals or breakouts. The RSI (Relative Strength Index) is incorporated, including a basic divergence detection to suggest potential bull or bear reversals. Volatility is measured using the Average True Range (ATR), classifying the current volatility from low to extreme, helping traders gauge the risk environment.
All these metrics are combined into a scoring system that awards points for positive indications such as price above VWAP, positive order flow, bullish momentum, and an uptrend in EMAs. The overall score ranges from 0 to 100 and is interpreted visually with emojis: a rocket for strong bullish setups, a chart up emoji for positive bias, a balanced scale for neutral, and a chart down emoji for bearish conditions.
The indicator issues alerts based on the combination of these signals, including bullish and bearish setups when multiple criteria align favorably, volume spike alerts when abnormal volume events occur, and institutional activity alerts for high volume surges.
To use this indicator effectively, traders should first assess the trend direction indicated by the EMA-based scoring. Positive momentum and price trading above the VWAP confirm bullish bias, while the opposite suggests bearishness. Volume flow and institutional activity provide additional confirmation. Support and resistance levels derived from pivots help in planning entries and exits. The RSI and volatility readings inform traders of potential overbought or oversold conditions and market risk levels. Alerts provide timely notifications to act on significant setups.
The indicator is highly customizable, allowing users to adjust the dashboard's position, size, and color theme to suit personal preferences. Parameters such as the momentum period, volume profile bars, trend multiplier, and signal sensitivity can be fine-tuned to adapt to different markets and trading styles.
This tool requires foundational knowledge of key technical concepts such as EMAs, VWAP, ATR, RSI, and volume analysis for best utilization. For traders interested in expanding their understanding, recommended resources include the TradingView Pine Script manual, technical analysis books by John J. Murphy and Dr. Alexander Elder, and practical video tutorials focusing on volume spread analysis and institutional order flow.
Overall, the Quantum Trading Matrix™ serves as a powerful control panel for active traders, providing a multi-dimensional view of the market through combined technical indicators, helping to identify high probability trade setups and manage risk effectively.
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⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
廣量指標
Buyside & Sellside Liquidity by Abu-sarahThe Liquidity Zones Indicator is built to automatically identify and visualize one of the core foundations of smart money trading: liquidity pools and levels.
These are areas on the chart where clusters of orders are typically positioned – such as stop losses above highs (buyside) or below lows (sellside). Recognizing these levels can help traders anticipate where price might gravitate to, reverse, or continue its movement.
🔶 SETTINGS
🔹 Liquidity Levels
Detection Length: Number of candles used to scan and define swing points.
Margin: Adjusts how sensitive the script is when confirming a liquidity level.
🔹 Liquidity Zones
Buyside Liquidity: Activates zones above repeated highs.
Sellside Liquidity: Activates zones below repeated lows.
Margin & Colors: Fully customizable width and color display for both buyside and sellside areas.
🔹 Liquidity Voids
Option to highlight imbalances (FVGs) both bullish and bearish.
Labels can be enabled to clearly tag voids for quick recognition.
🔹 Display Options
Mode: Choose between Present (last 500 bars focus) or Historical (full chart scan).
Visible Levels: Control how many liquidity areas are shown at once.
🔶 HOW IT WORKS
Liquidity, in simple terms, is the presence of pending orders at certain price levels.
Buyside Liquidity (BLIQ): typically above swing highs, where short sellers’ stops rest.
Sellside Liquidity (SLIQ): typically under swing lows, where long traders’ stops are placed.
When price sweeps through these pools, two common reactions occur:
Reversal: Price clears liquidity then snaps back in the opposite direction.
Continuation: Price breaks through, retests, and extends further in the same direction.
Additionally, Liquidity Voids (imbalances) appear as strong displacement candles with little to no wicks, signaling inefficient trading ranges. Such gaps are often revisited and filled later by price action.
🔶 DETAILS
Helps traders spot stop hunts & fakeouts.
Shows where institutions & smart money are likely targeting orders.
Zones can double as support/resistance and provide setups for entries/exits.
Fully customizable visuals for better chart readability.
تم تصميم هذا المؤشر ليكشف بشكل تلقائي ويعرض أحد أهم مفاهيم التداول بالمال الذكي: مناطق السيولة (Liquidity Pools & Levels).
هذه المناطق تمثل تجمعات أوامر السوق المخفية، مثل أوامر إيقاف الخسارة (Stops) المتمركزة غالبًا فوق القمم (سيولة شرائية) أو تحت القيعان (سيولة بيعية). معرفة أماكنها تمنح المتداول ميزة في توقّع الأماكن التي قد ينجذب إليها السعر ويحدث عندها اختراق أو ارتداد قوي.
🔶 الإعدادات
🔹 مستويات السيولة
طول الكشف (Detection Length): عدد الشموع المستخدمة لمسح وتحديد القمم والقيعان.
الهامش (Margin): يحدد مدى حساسية المؤشر عند تأكيد المستوى.
🔹 مناطق السيولة (Liquidity Zones)
سيولة شرائية (Buyside): تفعل إظهار المناطق أعلى القمم المتكررة.
سيولة بيعية (Sellside): تفعل إظهار المناطق أسفل القيعان المتكررة.
الهامش والألوان: تحكم كامل في عرض الحدود ولون المناطق.
🔹 فجوات السيولة (Liquidity Voids)
خيار تفعيل كشف الفجوات السعرية غير المتوازنة (FVG) الصاعدة والهابطة.
إمكانية إظهار ملصق (Label) لتوضيح أماكن الفجوات بشكل مباشر.
🔹 خيارات العرض
الوضع (Mode):
الحالي (Present): يركز على آخر 500 شمعة.
التاريخي (Historical): يفحص كامل البيانات المتوفرة على الشارت.
عدد المستويات المرئية: لتحديد كم منطقة سيولة تظهر على الرسم.
🔶 آلية عمل المؤشر
ببساطة، السيولة تعني وجود أوامر معلقة عند مستويات سعرية محددة.
سيولة شرائية (Buyside): غالبًا فوق القمم حيث يتمركز ستوبات البائعين.
سيولة بيعية (Sellside): غالبًا تحت القيعان حيث يتمركز ستوبات المشترين.
عند ضرب السعر لهذه المستويات قد يحدث:
انعكاس (Reversal): السعر يخترق المنطقة سريعًا ثم ينعكس بالاتجاه المعاكس.
استمرار (Continuation): المنطقة تنكسر ويعيد السعر اختبارها ثم يكمل بنفس الاتجاه.
أما فجوات السيولة (Voids/FVGs) فتظهر كشموع قوية متتالية دون ذيول واضحة، مما يشير إلى حركة غير متوازنة غالبًا يعود إليها السعر لاحقًا لملئها.
🔶 التفاصيل
يساعد على رصد الاختراقات الوهمية (Stop Hunt).
يكشف مناطق تجميع أو توزيع المؤسسات والبنوك.
المناطق المرسومة يمكن أن تعمل كـ دعم/مقاومة ذكية.
قابل للتخصيص من حيث الشكل والألوان لتوضيح القراءة على الشارت.
🔶 التنبيهات
يمكن ضبط المؤشر لإرسال تنبيه عند:
اكتشاف/تحديث مستوى سيولة جديد.
اختراق أو كسر منطقة سيولة قائمة.
📌 للمزيد من الشروحات والتحديثات اليومية:
👉 Radar Channel
🔖 هاشتاقات:
#السيولة #التداول #الفوليوم #المؤسسات #SMC #الفوركس #الاسهم #الكريبتو #Options #ICT #Radar
Pivot Matrix & Multi-Timeframe Support-Resistance Analytics________________________________________
📘 Study Material for Pivot Matrix & Multi Timeframe Support-Resistance Analytics
(By aiTrendview — Educational Use Only)
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🎯 Introduction
The Pivot Matrix & Multi Timeframe Support-Resistance Analytics indicator is designed to help traders visualize pivot points, support/resistance levels, VWAP, and volume flow analytics all in one place. Rather than giving explicit buy/sell calls, the dashboard provides reference insights so a learner may understand how different technical levels interact in real time.
This document explains its functionality step by step with formulas and usage guides.
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1️⃣ Pivot System Logic
Pivot points are classic tools for mapping market support and resistance levels.
✦ How Calculated?
Using the Traditional Method:
• Pivot Point (PP):
PP=Highprev+Lowprev+Closeprev3PP = \frac{High_{prev} + Low_{prev} + Close_{prev}}{3}PP=3Highprev+Lowprev+Closeprev
• First Support/Resistance:
R1=2×PP−Lowprev,S1=2×PP−HighprevR1 = 2 \times PP - Low_{prev}, \quad S1 = 2 \times PP - High_{prev}R1=2×PP−Lowprev,S1=2×PP−Highprev
• Second Support/Resistance:
R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev)R2 = PP + (High_{prev} - Low_{prev}), \quad S2 = PP - (High_{prev} - Low_{prev})R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev)
• Third Levels:
R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP)R3 = High_{prev} + 2 \times (PP - Low_{prev}), \quad S3 = Low_{prev} - 2 \times (High_{prev} - PP)R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP)
• Similarly, R4/R5 and S4/S5 are extrapolated from extended range multipliers.
✦ How Used?
• Price above PP → bullish control bias.
• Price below PP → bearish control bias.
• R1–R5 levels act as resistances; S1–S5 act as supports.
Learners should watch how candles behave when approaching R/S zones to spot breakout vs. rejection conditions.
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2️⃣ Multi Timeframe Logic
The indicator allows using daily-based pivot values (via request.security). This ensures alignment with institutional daily levels, not just intraday recalculations.
✦ Teaching Value
Understanding MTF pivots shows how markets respect higher timeframe levels (daily > intraday, weekly > daily). This helps learners grasp nested support-resistance structures.
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3️⃣ VWAP (Volume Weighted Average Price)
Formula:
VWAPt=∑(Pricei×Volumei)∑(Volumei),Pricei=High+Low+Close3VWAP_t = \frac{\sum (Price_i \times Volume_i)}{\sum (Volume_i)}, \quad Price_i = \frac{High + Low + Close}{3}VWAPt=∑(Volumei)∑(Pricei×Volumei),Pricei=3High+Low+Close
Usage:
• VWAP is used as an institutional benchmark of fair value.
• Above VWAP = bullish flow.
• Below VWAP = bearish flow.
Learners should check whether price respects VWAP as a magnet or uses it as support/resistance.
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4️⃣ Volume Flow Analysis
The script classifies buy volume, sell volume, and neutral volume.
• Buy Volume = if close > open.
• Sell Volume = if close < open.
• Neutral Volume = if close = open.
For daily tracking:
Buy%=DayBuyVolDayTotalVol×100,Sell%=DaySellVolDayTotalVol×100Buy\% = \frac{DayBuyVol}{DayTotalVol} \times 100, \quad Sell\% = \frac{DaySellVol}{DayTotalVol} \times 100Buy%=DayTotalVolDayBuyVol×100,Sell%=DayTotalVolDaySellVol×100
Usage for Learners:
• Dominant Buy% → accumulation/ bullish pressure.
• Dominant Sell% → distribution/ bearish pressure.
• Balanced → sideways liquidity building.
This teaches observation of order flow bias rather than relying only on price.
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5️⃣ Dashboard Progress Bars & Colors
The script uses visual progress bars and dynamic colors for clarity. For example:
• VWAP Backgrounds: Green shades when price strongly above VWAP, Red when below.
• Volume Bars: More green blocks mean buying dominance, red means selling pressure.
This visual design turns concepts into easy-to-digest cues, useful for training.
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6️⃣ Market Status Summary
Finally, the dashboard synthesizes all data points:
• Price vs Pivot (above or below).
• Price vs VWAP (above or below).
• Volume Pressure (buy side vs sell side).
Status Rule:
• If all three align bullish → Status box turns green.
• If mixed → Neutral grey.
• If bearish dominance → weaker tone.
Why Important?
This teaches learners that market conditions should align in confluence across indicators before confidence arises.
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⚠️ Strict Disclaimer (aiTrendview)
The Pivot Matrix & Multi Timeframe Support-Resistance Analytics tool is developed by aiTrendview for strictly educational and research purposes.
❌ It does NOT provide buy/sell recommendations.
❌ It does NOT guarantee profits.
❌ Unauthorized use, copying, or redistribution of this code is prohibited.
⚠️ Trading Risk Warning:
• Trading involves high risk of financial loss.
• You may lose more than your capital.
• Past levels and indicators do not predict future outcomes.
This tool must be viewed as a visual education aid to practice technical analysis skills, not as trading advice.
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✅ Now you have a step by step study guide:
• Pivot calculations explained
• VWAP with logic
• Volume breakdown
• Visual analytics
• Status confluence logic
• Disclaimer for compliance
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⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
DYNAMIC TRADING DASHBOARDStudy Material for the "Dynamic Trading Dashboard"
This Dynamic Trading Dashboard is designed as an educational tool within the TradingView environment. It compiles commonly used market indicators and analytical methods into one visual interface so that traders and learners can see relationships between indicators and price action. Understanding these indicators, step by step, can help traders develop discipline, improve technical analysis skills, and build strategies. Below is a detailed explanation of each module.
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1. Price and Daily Reference Points
The dashboard displays the current price, along with percentage change compared to the day’s opening price. It also highlights whether the price is moving upward or downward using directional symbols. Alongside, it tracks daily high, low, open, and daily range.
For traders, daily levels provide valuable reference points. The daily high and low are considered intraday support and resistance, while the median price of the day often acts as a pivot level for mean reversion traders. Monitoring these helps learners see how price oscillates within daily ranges.
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2. VWAP (Volume Weighted Average Price)
VWAP is calculated as a cumulative average price weighted by volume. The dashboard compares the current price with VWAP, showing whether the market is trading above or below it.
For traders, VWAP is often a guide for institutional order flow. Price trading above VWAP suggests bullish sentiment, while trading below VWAP indicates bearish sentiment. Learners can use VWAP as a training tool to recognize trend-following vs. mean reversion setups.
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3. Volume Analysis
The system distinguishes between buy volume (when the closing price is higher than the open) and sell volume (when the closing price is lower than the open). A progress bar highlights the ratio of buying vs. selling activity in percentage.
This is useful because volume confirms price action. For instance, if prices rise but sell volume dominates, it can signal weakness. New traders learning with this tool should focus on how volume often precedes price reversals and trends.
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4. RSI (Relative Strength Index)
RSI is a momentum oscillator that measures price strength on a scale from 0 to 100. The dashboard classifies RSI readings into overbought (>70), oversold (<30), or neutral zones and adds visual progress bars.
RSI helps learners understand momentum shifts. During training, one should notice how trending markets can keep RSI extended for longer periods (not immediate reversal signals), while range-bound markets react more sharply to RSI extremes. It is an excellent tool for practicing trend vs. range identification.
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5. MACD (Moving Average Convergence Divergence)
The MACD indicator involves a fast EMA, slow EMA, and signal line, with focus on crossovers. The dashboard shows whether a “bullish cross” (MACD above signal line) or “bearish cross” (MACD below signal line) has occurred.
MACD teaches traders to identify trend momentum shifts and divergence. During practice, traders can explore how MACD signals align with VWAP trends or RSI levels, which helps in building a structured multi-indicator analysis.
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6. Stochastic Oscillator
This indicator compares the current close relative to a range of highs and lows over a period. Displayed values oscillate between 0 and 100, marking zones of overbought (>80) and oversold (<20).
Stochastics are useful for students of trading to recognize short-term momentum changes. Unlike RSI, it reacts faster to price volatility, so false signals are common. Part of the training exercise can be to observe how stochastic “flips” can align with volume surges or daily range endpoints.
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7. Trend & Momentum Classification
The dashboard adds simple labels for trend (uptrend, downtrend, neutral) based on RSI thresholds. Additionally, it provides quick momentum classification (“bullish hold”, “bearish hold”, or neutral).
This is beneficial for beginners as it introduces structured thinking: differentiating long-term market bias (trend) from short-term directional momentum. By combining both, traders can practice filtering signals instead of trading randomly.
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8. Accumulation / Distribution Bias
Based on RSI levels, the script generates simplified tags such as “Accumulate Long”, “Accumulate Short”, or “Wait”.
This is purely an interpretive guide, helping learners think in terms of accumulation phases (when markets are low) and distribution phases (when markets are high). It reinforces the concept that trading is not only directional but also involves timing.
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9. Overall Market Status and Score
Finally, the dashboard compiles multiple indicators (VWAP position, RSI, MACD, Stochastics, and price vs. median levels) into a Market Score expressed as a percentage. It also labels the market as Overbought, Oversold, or Normal.
This scoring system isn’t a recommendation but a learning framework. Students can analyze how combining different indicators improves decision-making. The key training focus here is confluence: not depending on one indicator but observing when several conditions align.
Extended Study Material with Formulas
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1. Daily Reference Levels (High, Low, Open, Median, Range)
• Day High (H): Maximum price of the session.
DayHigh=max(Hightoday)DayHigh=max(Hightoday)
• Day Low (L): Minimum price of the session.
DayLow=min(Lowtoday)DayLow=min(Lowtoday)
• Day Open (O): Opening price of the session.
DayOpen=OpentodayDayOpen=Opentoday
• Day Range:
Range=DayHigh−DayLowRange=DayHigh−DayLow
• Median: Mid-point between high and low.
Median=DayHigh+DayLow2Median=2DayHigh+DayLow
These act as intraday guideposts for seeing how far the price has stretched from its key reference levels.
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2. VWAP (Volume Weighted Average Price)
VWAP considers both price and volume for a weighted average:
VWAPt=∑i=1t(Pricei×Volumei)∑i=1tVolumeiVWAPt=∑i=1tVolumei∑i=1t(Pricei×Volumei)
Here, Price_i can be the average price (High + Low + Close) ÷ 3, also known as hlc3.
• Interpretation: Price above VWAP = bullish bias; Price below = bearish bias.
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3. Volume Buy/Sell Analysis
The dashboard splits total volume into buy volume and sell volume based on candle type.
• Buy Volume:
BuyVol=Volumeif Close > Open, else 0BuyVol=Volumeif Close > Open, else 0
• Sell Volume:
SellVol=Volumeif Close < Open, else 0SellVol=Volumeif Close < Open, else 0
• Buy Ratio (%):
VolumeRatio=BuyVolBuyVol+SellVol×100VolumeRatio=BuyVol+SellVolBuyVol×100
This helps traders gauge who is in control during a session—buyers or sellers.
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4. RSI (Relative Strength Index)
RSI measures strength of momentum by comparing gains vs. losses.
Step 1: Compute average gains (AG) and losses (AL).
AG=Average of Upward Closes over N periodsAG=Average of Upward Closes over N periodsAL=Average of Downward Closes over N periodsAL=Average of Downward Closes over N periods
Step 2: Calculate relative strength (RS).
RS=AGALRS=ALAG
Step 3: RSI formula.
RSI=100−1001+RSRSI=100−1+RS100
• Used to detect overbought (>70), oversold (<30), or neutral momentum zones.
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5. MACD (Moving Average Convergence Divergence)
• Fast EMA:
EMAfast=EMA(Close,length=fast)EMAfast=EMA(Close,length=fast)
• Slow EMA:
EMAslow=EMA(Close,length=slow)EMAslow=EMA(Close,length=slow)
• MACD Line:
MACD=EMAfast−EMAslowMACD=EMAfast−EMAslow
• Signal Line:
Signal=EMA(MACD,length=signal)Signal=EMA(MACD,length=signal)
• Histogram:
Histogram=MACD−SignalHistogram=MACD−Signal
Crossovers between MACD and Signal are used in studying bullish/bearish phases.
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6. Stochastic Oscillator
Stochastic compares the current close against a range of highs and lows.
%K=Close−LowestLowHighestHigh−LowestLow×100%K=HighestHigh−LowestLowClose−LowestLow×100
Where LowestLow and HighestHigh are the lowest and highest values over N periods.
The %D line is a smooth version of %K (using a moving average).
%D=SMA(%K,smooth)%D=SMA(%K,smooth)
• Values above 80 = overbought; below 20 = oversold.
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7. Trend and Momentum Classification
This dashboard generates simplified trend/momentum logic using RSI.
• Trend:
• RSI < 40 → Downtrend
• RSI > 60 → Uptrend
• In Between → Neutral
• Momentum Bias:
• RSI > 70 → Bullish Hold
• RSI < 30 → Bearish Hold
• Otherwise Neutral
This is not predictive, only a classification framework for educational use.
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8. Accumulation/Distribution Bias
Based on extreme RSI values:
• RSI < 25 → Accumulate Long Bias
• RSI > 80 → Accumulate Short Bias
• Else → Wait/No Action
This helps learners understand the idea of accumulation at lows (strength building) and distribution at highs (profit booking).
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9. Overall Market Status and Score
The tool adds up 5 bullish conditions:
1. Price above VWAP
2. RSI > 50
3. MACD > Signal
4. Stochastic > 50
5. Price above Daily Median
BullishScore=ConditionsMet5×100BullishScore=5ConditionsMet×100
Then it categorizes the market:
• RSI > 70 or Stoch > 80 → Overbought
• RSI < 30 or Stoch < 20 → Oversold
• Else → Normal
This encourages learners to think in terms of probabilistic conditions instead of single-indicator signals.
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⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Marcus Donchian + Volume Divergence — Indicator v2//@version=5
indicator("Marcus Donchian + Volume Divergence — Indicator v2", shorttitle="Marcus DV-Ind v2", overlay=true)
// ── Inputs
trendTF = input.timeframe("60", "Trend TF for EMA (상위TF)")
emaLen = input.int(200, "Trend EMA Length", minval=1)
emaSlopeBars = input.int(3, "EMA slope bars (HTF)", minval=1)
breakLen = input.int(50, "Donchian Lookback", minval=2)
sweepLen = input.int(30, "Sweep lookback (Reversal)", minval=3)
atrLen = input.int(14, "ATR Length", minval=1)
breakBufATR = input.float(0.30, "ATR buffer for channel (+/−)", step=0.05)
useADX = input.bool(true, "Use ADX filter?")
adxLen = input.int(14, "ADX Length", minval=1)
adxTrendThr = input.int(28, "Trend ADX ≥", minval=1, maxval=100)
adxRangeMax = input.int(22, "Range ADX ≤", minval=1, maxval=100)
useVolFilter = input.bool(true, "Use volatility filter (ATR%)")
atrMinPct = input.float(0.18, "Min ATR% of price", step=0.01)
useDivFilter = input.bool(true, "Use Volume Divergence filter/confirm?")
pvLen = input.int(5, "Pivot L/R bars (divergence)", minval=2)
divConfirmBars = input.int(30, "Divergence confirm window (bars)", minval=5)
volLen = input.int(20, "Volume MA length")
volExpMult = input.float(1.5, "Volume expansion ×MA", step=0.1)
distZLimitBO = input.float(1.5, "Max |Z| for Trend breakout (ATR)", step=0.1) // 과열 돌파 금지
distZRev = input.float(2.0, "Min |Z| for Reversal (ATR)", step=0.1) // 충분한 할인/프리미엄
allowLongs = input.bool(true, "Enable Longs", inline="SIDE")
allowShorts = input.bool(true, "Enable Shorts", inline="SIDE")
enableTrend = input.bool(true, "Enable Trend (breakout)")
enableRev = input.bool(true, "Enable Reversal (sweep+reclaim)")
// ── Wilder ADX (ta.adx 미탑재 방어)
adxWilder(len) =>
up = ta.change(high)
down = -ta.change(low)
plusDM = (up > down and up > 0) ? up : 0.0
minusDM = (down > up and down > 0) ? down : 0.0
tr_ = math.max(high - low, math.max(math.abs(high - close ), math.abs(low - close )))
smTR = ta.rma(tr_, len)
smPDM = ta.rma(plusDM, len)
smMDM = ta.rma(minusDM, len)
plusDI = 100 * smPDM / smTR
minusDI = 100 * smMDM / smTR
dx = 100 * math.abs(plusDI - minusDI) / math.max(plusDI + minusDI, 1e-10)
ta.rma(dx, len)
// ── Calculations
trendEMA = request.security(syminfo.tickerid, trendTF, ta.ema(close, emaLen))
emaSlope = trendEMA - trendEMA
upper = ta.highest(high, breakLen)
lower = ta.lowest(low, breakLen)
atr = ta.atr(atrLen)
buf = atr * breakBufATR
atrPct = (atr / close) * 100.0
adxVal = adxWilder(adxLen)
Z = (close - trendEMA) / math.max(atr, 1e-10)
// ── OBV & Volume expansion
obvStep = close > close ? volume : close < close ? -volume : 0.0
obv = ta.cum(obvStep)
volMA = ta.sma(volume, volLen)
volExp = volume >= volExpMult * volMA
// ── Pivot-based divergence (모든 상태변수 단일 선언: 재발 방지)
ph = ta.pivothigh(high, pvLen, pvLen) // 확정되면 pvLen 바 전에 찍힘
pl = ta.pivotlow(low, pvLen, pvLen)
var float ph_price_last = na
var float ph_price_prev = na
var float ph_obv_last = na
var float ph_obv_prev = na
var float pl_price_last = na
var float pl_price_prev = na
var float pl_obv_last = na
var float pl_obv_prev = na
if not na(ph)
ph_price_prev := ph_price_last
ph_obv_prev := ph_obv_last
ph_price_last := ph
ph_obv_last := obv // 피벗 바의 OBV
if not na(pl)
pl_price_prev := pl_price_last
pl_obv_prev := pl_obv_last
pl_price_last := pl
pl_obv_last := obv
// 다이버전스 정의
bearDiv = not na(ph_price_prev) and not na(ph_price_last) and (ph_price_last > ph_price_prev) and (ph_obv_last < ph_obv_prev)
bullDiv = not na(pl_price_prev) and not na(pl_price_last) and (pl_price_last < pl_price_prev) and (pl_obv_last > pl_obv_prev)
// 최근 N봉 내 다이버전스 존재?
bearDivRecent = not useDivFilter ? true : (nz(ta.barssince(bearDiv), 1e9) <= divConfirmBars)
bullDivRecent = not useDivFilter ? true : (nz(ta.barssince(bullDiv), 1e9) <= divConfirmBars)
// ── Regime predicates (원자 변수화)
trendStrong = (not useADX) or (adxVal >= adxTrendThr)
rangeLike = (not useADX) or (adxVal <= adxRangeMax)
volOK = (not useVolFilter) or (atrPct >= atrMinPct)
slopeUp = emaSlope > 0
slopeDn = emaSlope < 0
// ── Donchian Breakout (Trend) + 과열(Z) + 거래량 확장 + 역다이버전스 차단
boLong_raw = enableTrend and allowLongs and trendStrong and slopeUp and (Z < distZLimitBO) and ta.crossover(close, upper + buf)
boShort_raw = enableTrend and allowShorts and trendStrong and slopeDn and (Z > -distZLimitBO) and ta.crossunder(close, lower - buf)
boLong = boLong_raw and (not useDivFilter or (volExp and not bearDivRecent))
boShort = boShort_raw and (not useDivFilter or (volExp and not bullDivRecent))
// ── Reversal: sweep & reclaim + Z 임계 + 저 ADX + 다이버전스 확증
sweptLow = low < ta.lowest(low, sweepLen)
sweptHigh = high > ta.highest(high, sweepLen)
reclaimL = close > (lower + buf)
reclaimS = close < (upper - buf)
discOK = Z <= -distZRev
premOK = Z >= distZRev
revLong = enableRev and allowLongs and rangeLike and discOK and sweptLow and reclaimL and (not useDivFilter or bullDivRecent)
revShort = enableRev and allowShorts and rangeLike and premOK and sweptHigh and reclaimS and (not useDivFilter or bearDivRecent)
// ── Final Signals + 변동성 필터
openLongTrend = volOK and boLong
openShortTrend = volOK and boShort
openLongRev = volOK and revLong
openShortRev = volOK and revShort
// ── Alert conditions (웹훅 없음)
alertcondition(openLongTrend, "Open Long (Trend)", "Open Long (Trend breakout)")
alertcondition(openShortTrend, "Open Short (Trend)", "Open Short (Trend breakout)")
alertcondition(openLongRev, "Open Long (Reversal)", "Open Long (Reversal reclaim)")
alertcondition(openShortRev, "Open Short (Reversal)","Open Short (Reversal reject)")
// ── Plots
plot(trendEMA, "Trend EMA (HTF)", color=color.new(color.orange, 0), linewidth=2)
plot(upper, "Donchian Upper", color=color.new(color.blue, 0))
plot(lower, "Donchian Lower", color=color.new(color.blue, 0))
plotshape(boLong, title="BO Long", style=shape.triangleup, location=location.belowbar, color=color.new(color.lime,0), size=size.tiny, text="BO L")
plotshape(boShort, title="BO Short", style=shape.triangledown, location=location.abovebar, color=color.new(color.red ,0), size=size.tiny, text="BO S")
plotshape(revLong, title="REV Long", style=shape.circle, location=location.belowbar, color=color.new(color.teal,0), size=size.tiny, text="REV L")
plotshape(revShort, title="REV Short",style=shape.circle, location=location.abovebar, color=color.new(color.purple,0), size=size.tiny, text="REV S")
plotshape(bullDiv, title="Bull Div", style=shape.labelup, location=location.belowbar, color=color.new(color.green,70), size=size.tiny, text="▲Div")
plotshape(bearDiv, title="Bear Div", style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 70), size=size.tiny, text="▼Div")
Option Buying Trend StrategyIdeally meant for Option Buys when the market is in good trend. It avoids choppy market.
TRADE ORBIT:-Coppock Curve –BULL MARKET BOTTOM TRADE ORBIT: Coppock Curve – Bull Market Start
The Coppock Curve is a long-term momentum indicator originally designed to identify the beginning of major bull markets. This version adds enhancements for clarity and trading usability:
🔹 Coppock Curve – Calculated as a weighted moving average of two Rate-of-Change (ROC) values (default 11 & 14).
🔹 Signal Line – A short moving average of the Coppock, used for early confirmation.
🔹 Zero Line – A reference line; moves above zero are considered bullish by classic Coppock theory.
🚀 Features:
Zero-Line Crossovers: Green triangle signals when Coppock crosses above 0 (long-term bullish confirmation).
Signal-Line Crossovers: Green circle signals when Coppock crosses above its short MA (early bullish entry).
Background Highlight: Subtle green shading when bullish signals trigger.
Customizable Inputs: ROC lengths, WMA length, and Signal MA length.
📊 How to Use:
Bullish Confirmation: Coppock crossing above zero often marks the start of a major uptrend.
Early Signals: Coppock crossing its signal MA provides earlier trend-change detection.
Works best on weekly charts, but can be applied to other timeframes.
⚠️ Note: This indicator is for educational purposes only and not financial advice. Always combine with your own research and risk management.
Tick Ratio Simulator - Advanced Market Sentiment IndicatorOverview
The Tick Ratio Simulator is a sophisticated market sentiment indicator that provides real-time insights into buying and selling pressure dynamics. This proprietary indicator transforms complex market microstructure data into actionable trading signals.
Key Features
Real-Time Sentiment Analysis: Captures instantaneous shifts in market momentum
Multi-Timeframe Adaptability: Customizable calculation periods for any trading style
Visual Clarity: Color-coded histogram with dynamic zone highlighting
Integrated Alert System: Pre-configured alerts for key market transitions
Performance Dashboard: Live metrics display for informed decision-making
Trading Applications
✓ Trend Confirmation: Validate existing trends with momentum analysis
✓ Reversal Detection: Identify potential turning points at extreme readings
✓ Entry/Exit Timing: Optimize trade execution with overbought/oversold zones
✓ Risk Management: Clear visual boundaries for position sizing decisions
Signal Interpretation
Extreme Zones (±75): High probability reversal areas
Standard Thresholds (±50): Traditional overbought/oversold levels
Zero Line Crossings: Momentum shift confirmations
Histogram Expansion/Contraction: Strength of directional bias
Customization Options
Adjustable calculation and smoothing periods
Fully customizable color schemes
Toggle histogram and reference lines
Real-time information table positioning
Alert Conditions
Four pre-built alert templates for automated notifications:
Momentum threshold breaches
Directional changes
Extreme zone entries
Custom level crossovers
Best Practices
Works exceptionally well when combined with:
Volume analysis
Support/resistance levels
Price action patterns
Other momentum oscillators
Note: This indicator uses proprietary calculations to simulate institutional-grade tick analysis without requiring actual tick data feeds. Results are optimized for liquid markets with consistent volume profiles.
For optimal results, adjust parameters based on your specific instrument and timeframe. Past performance does not guarantee future results.
BTC vs USDT Dominance + Info//@version=5
indicator("BTC vs USDT Dominance + Info", overlay=false)
// Ambil data BTCUSDT (Bybit)
btc = request.security("BYBIT:BTCUSDT", timeframe.period, close)
// Ambil data USDT Dominance (USDT.D)
usdtDom = request.security("CRYPTOCAP:USDT.D", timeframe.period, close)
// Normalisasi biar skalanya sama
btcNorm = (btc - ta.lowest(btc, 200)) / (ta.highest(btc, 200) - ta.lowest(btc, 200)) * 100
usdtNorm = (usdtDom - ta.lowest(usdtDom, 200)) / (ta.highest(usdtDom, 200) - ta.lowest(usdtDom, 200)) * 100
// Plot garis
plot(btcNorm, color=color.green, title="BTC (Normalized)", linewidth=2)
plot(usdtNorm, color=color.red, title="USDT Dominance (Normalized)", linewidth=2)
// Deteksi arah candle terakhir
btcUp = ta.change(btc) > 0
btcDown = ta.change(btc) < 0
// Label info otomatis
if btcUp
label.new(bar_index, btcNorm, "BTC Naik → USDT Dominance Turun",
color=color.green, textcolor=color.white, style=label.style_label_up)
if btcDown
label.new(bar_index, btcNorm, "BTC Turun → USDT Dominance Naik",
color=color.red, textcolor=color.white, style=label.style_label_down)
EMA + Dynamic Fib TradeNestDescription:
This custom indicator combines Exponential Moving Averages (EMA) and Ichimoku to provide a momentum and trend-based framework for day trading.
9 EMA and 21 EMA are used to identify short-term momentum shifts. A bullish signal occurs when the 9 EMA crosses above the 21 EMA, suggesting potential call opportunities, while a bearish signal occurs when the 9 EMA crosses below the 21 EMA, suggesting potential put opportunities.
50 EMA is included as an additional trend filter to help confirm overall market direction.
Ichimoku is plotted as a forward-looking dynamic support/resistance level. It behaves similarly to a Fibonacci retracement level, offering context for where price may find support or rejection. Ichimoku also helps determine whether current price action is aligned with a bullish or bearish trend environment.
By combining EMA crossovers with Ichimoku levels, this indicator provides a simple yet powerful method for identifying momentum entries and gauging the strength of price action relative to dynamic support/resistance.
9, 21, 50 EMA TN
This indicator plots three exponential moving averages (EMAs) on the chart:
9 EMA (purple) – short-term trend and momentum
21 EMA (yellow) – medium-term trend
50 EMA (cyan) – long-term trend and overall market direction
How it’s used:
Traders look for the 9 EMA to cross above the 21 EMA as a potential bullish signal. This suggests upward momentum and may be used as confirmation for call entries.
Conversely, when the 9 EMA crosses below the 21 EMA, it can indicate bearish momentum, often used as confirmation for put entries.
The 50 EMA acts as a higher timeframe filter: when price and the shorter EMAs are above the 50 EMA, it confirms bullish bias; when they’re below, it confirms bearish bias.
This tool helps identify short-term momentum shifts while staying aligned with the larger market trend.
Narrow Range Marker (Multi-TF)Marks bars with a circle when the selected timeframe’s range (high–low) is below a user-defined threshold. Supports 15m, 1H, Daily, Weekly, and Monthly timeframes, each with its own adjustable threshold.
Instant Breakout Strategy with RSI & VWAPInstant Breakout Strategy with RSI & VWAP
This TradingView strategy (Pine Script v6) trades breakouts using pivot points, with optional filters for volume, momentum, RSI, and VWAP. It’s optimized for the 1-second timeframe.
Overview
The strategy identifies breakouts when price crosses above resistance (pivot highs) or below support (pivot lows). It can use basic pivot breakouts or add filters for stronger signals. Take-profit and stop-loss levels are set using ATR, and signals are shown on the chart.
Inputs
Left/Right Pivot Bars: Bars to detect pivots (default: 3). Lower values increase sensitivity.
Volume Surge Multiplier: Volume threshold vs. 20-period average (default: 1.5).
Momentum Threshold: Minimum % price change from bar open (default: 1%).
Take-Profit ATR Multiplier: ATR multiplier for take-profit (default: 9.0).
Stop-Loss ATR Multiplier: ATR multiplier for stop-loss (default: 1.0).
Use Filters: Enable/disable volume, momentum, RSI, and VWAP filters (default: off).
How It Works
1. Pivot Detection
Finds pivot highs (resistance) and lows (support) using ta.pivothigh and ta.pivotlow.
Tracks the latest pivot levels.
2. Volume Surge
Compares current volume to a 20-period volume average.
A surge occurs if volume exceeds the average times the multiplier.
3. Momentum
Measures price change from the bar’s open.
Bullish: Price rises >1% from open.
Bearish: Price falls >1% from open.
4. RSI and VWAP
RSI: 3-period RSI. Above 50 is bullish; below 50 is bearish.
VWAP: Price above VWAP is bullish; below is bearish.
5. ATR
14-period ATR sets take-profit (close ± atr * 9.0) and stop-loss (close ± atr * 1.0).
Trading Rules
Breakout Conditions
Bullish Breakout:
Price crosses above the latest pivot high.
With filters: Volume surge, bullish momentum, RSI > 50, price > VWAP.
Without filters: Only the crossover is needed.
Bearish Breakout:
Price crosses below the latest pivot low.
With filters: Volume surge, bearish momentum, RSI < 50, price < VWAP.
Without filters: Only the crossunder is needed.
Entries and Exits
Long: Enter on bullish breakout. Set take-profit and stop-loss. Close any short position.
Short: Enter on bearish breakout. Set take-profit and stop-loss. Close any long position.
Visuals
Signals: Green triangles (bullish) below bars, red triangles (bearish) above bars.
Pivot Levels: Green line (resistance), red line (support).
Indicators: RSI (blue, separate pane), VWAP (purple, on chart).
How to Use
Apply to a 1-second chart in TradingView for best results.
Adjust inputs (e.g., pivot bars, multipliers). Enable filters for stricter signals.
Watch for buy/sell triangles and monitor RSI/VWAP.
Use ATR-based take-profit/stop-loss for risk management.
Notes
Best on 1-second timeframe due to fast RSI and responsiveness.
Disable filters for more signals (less confirmation).
Backtest before live trading to check performance.
This strategy uses pivots, volume, momentum, RSI, and VWAP for clear breakout trades on the 1-second timeframe.
AI A++ Liquidity Sweep FVGThat is a critical question. For the "AI A++ Liqu-idity Sweep FVG" indicator to work exactly as designed, you must have your chart set to the:
1-Minute (1m) Timeframe
The Reason:
The logic of the script is built to analyze the very specific, rapid price action that occurs in the first few minutes of the New York session open.
FVG Detection: A Fair Value Gap is a three-candle pattern. On the 1-minute chart, this allows us to see the rapid imbalances created by the opening burst of volume. On a higher timeframe like the 5-minute or 15-minute, these subtle but powerful gaps would be smoothed over and might not even be visible.
Liquidity Sweep Precision: The script is looking for a quick "stop hunt" that pierces the pre-market high or low and then immediately reverses. This action is most clearly and accurately seen on the 1-minute chart.
Using any other timeframe will cause the indicator to analyze the market incorrectly and either miss valid setups or provide false signals.
So, to confirm your setup for Monday morning:
Instrument: MNQ (Micro E-mini Nasdaq-100 Futures)
Timeframe: 1-Minute
Indicator: "AI A++ Liquidity Sweep FVG" active on the chart.
Alert: Alert set up for the indicator.
You are now perfectly set up to catch the exact A++ setup we are waiting for.
권재용AI 업데이트 버전한 줄 압축: ‘추세,수급,변동성의 교집합에서만 거래하게 강제하는 보조지표 만듦
-슈퍼트렌드에 다중TF·수급·레짐 합의점수 얹어 재도색 없이 ‘자리 좋은’ 신호만 뽑는 엔진 만듦
-Flip·Pullback을 켈트너·RSI·OBV/MFI·ADX로 교차검증해 노이즈 싹 걷어내는 NRP 신호 설계함
-추세판단→엔트리→S/R·VWAP 컨텍스트→TP/SL·알림까지 지표 하나로 풀스택 자동화함
-상위TF 확정봉+ATR 레짐+EMA 정렬로 허접 및 가짜 신호 전부 필터링하고 남은 것만 화살표로 뽑게 만듦
-트렌드·수급·변동성 3요소를 점수화해 신호 질·빈도 동시에 컨트롤하는 합의형 엔진 제작함
-NRP ST에 S/R 존과 앵커 VWAP 붙여 ‘보이는 자리만’ 눌러 담게 만드는 실전형 지표임
-알고리즘이 허락하고 사람은 자리만 고르게 만드는 엔트리 시스템으로 구조 갈아엎음
-Flip+Pullback을 ‘의미 있는 눌림/돌파’만 통과시키는 확률적 알고리즘임
-신호 뜨면 TP/SL/시간청산까지 경로가 자동 깔리는 엔드투엔드 트레이딩 레일 만들었음
-케이스 바이 케이스를 규칙으로 압축해 클릭 전에 이미 선별 끝내는 지표임
-빈도는 살리고(Flip+PB) 질은 점수로 묶은, 레버리지 장에서도 버티는 엔진임
0) 보조지표 구분
초록 굵은 선 = 상승 추세(롱 바이어스)
빨강 굵은 선 = 하락 추세(숏 바이어스)
청록 채움 = 지지 존(S1~S3)
적갈 채움 = 저항 존(R1~R3)
주황 실선 + 연한 띠 = 앵커 VWAP + 밴드
파랑/보라 얇은 선 = 전일/전주 고저
초록/빨강 라벨 = 권재용 B/S 신호
회색 선 = TP1/TP2, 검정 선 = SL 가이드
옅은 노랑 배경 = 신호 직후 경계 구간
1) 사용법(초보→중급→고급)
A) 초보자(그대로 따라 하기)
보는 법:
ST 색 먼저 봄(초록=롱, 빨강=숏). 상위TF(4H) 같은 방향인지 확인함.
화살표 뜨면 후보. 바로 위/아래 S/R 존·앵커 VWAP 있는지 확인.
저항 겹치면 롱 지연/축소, 지지 겹치면 숏 지연/축소.
진입:
Flip 신호면 추세 시작 자리.
Pullback 신호면 눌림/반등 자리(켈트너+RSI 재진입 충족).
청산:
TP1에서 절반, TP2에서 나머지(취향).
SL은 가이드 라인 참조하되 실제 손절은 주문으로 확정함.
알림: BUY/SELL만 봉 마감으로 켜두면 충분함.
B) 중급자(필터/점수로 빈도·질 조절)
빈도 늘리고 싶음: preset=공격적 또는 scoreExtra=-0.5, cooldownBars=0~1, minDistATR=0~0.2, adxMin=18~20, atrZmin=0.0/atrZmax=1.0
질 올리고 싶음: preset=보수적, scoreExtra=+0.5~+1.0, cooldownBars≥3, minDistATR=0.3~0.5, adxMin=22~25, chopMax=50
주의: OBV/MFI 끄면 최대점수 1점임. 중립(3)/보수(4)로 두면 신호 안 뜸 → 프리셋 낮추거나 OBV/MFI 켬.
C) 고급자(레짐·TF·자금관리)
레짐 매핑:
추세장: adxMin↑, chopMax↓, minDistATR↑(추격 줄임)
박스장: useCHOP=OFF 고려, kelMult↑로 밴드 넓혀 과매수/과매도만 노림
TF 분리 운용:
엔트리 5/15m + confTF=60m(1H)로 더 타이트하게 확정
스윙이면 res="", confTF="D" / confirmBars=1~2
앵커 VWAP: Flip마다 리셋됨. 추세 추종이면 VWAP 위 롱/아래 숏 기본. 역추세는 밴드 터치→재관통만 부분 진입.
3) 목적별 프리셋(붙여 쓰기)
스캘핑(신호 많게, 1~5m)
entryMode=Flip+Pullback
preset=공격적 또는 중립 + scoreExtra=-0.5
adxMin=18~20, cooldownBars=0~1, minDistATR=0~0.2
atrZmin=0.0 / atrZmax=1.0, chopMax=58~60
청산: tp1ATR=0.6~0.8, tp2ATR=1.2~1.6, timeExit=20~30
데이(균형, 5~15m)
초기 기본값 세트 그대로
손절 좁히려면 slATR=0.8~1.0, 리스크 허용 크면 tp2ATR=2.2~2.5
스윙(정확도 우선, 1H~4H/Day)
entryMode=Flip only
preset=보수적, scoreExtra=+0.5~+1.0
adxMin=22~25, cooldownBars=3~5, minDistATR=0.3~0.5
confTF="D"(혹은 W), confirmBars=1~2
청산: tp1ATR=1.5, tp2ATR=3.0, timeExit=0~20(장세 따라)
돌파 전문(Flip만, 저항 상단 체결 줄임)
entryMode=Flip only
minDistATR=0.4~0.6, cooldownBars=2~3, chopMax=48~52
눌림 전문(Pullback만, VWAP/지지부근)
entryMode=Pullback only
kelMult=1.6~1.8, rsiBand=6~8(더 확실한 재진입만)
tp1ATR 살짝 낮춤(0.8~1.2) → 빈도 대비 체결·수익 확보
2) 차트 읽는 법(초간단)
색: 초록=롱 바이어스, 빨강=숏 바이어스
화살표: “권재용 B/S” 뜨면 후보. 상위TF도 같은 방향이어야 유효
존: 청록=S(지지), 적갈=R(저항). 존 위는 저항라인, 아래는 지지라인
주황선: 앵커 VWAP(마지막 Flip 기준 평균가).
3) 진입법(딱 두 개만 기억)
Flip 진입: 색이 바뀌는 순간 화살표 → 바로 위/아래 R/S 겹침 있나 보고 들어감
Pullback 진입: 추세 진행 중, 켈트너 밴드 꼬리 터치 + 중선 재관통 + RSI 재진입 → 들어감
4) 청산/손절(기본값 그대로)
TP1/TP2: 회색 라인 목표. 반절/전량 취향대로
SL: 검정 라인(가이드). ST 라인과 ATR 기준 중 더 보수적으로 잡힘
시간청산: 오래 끌리면 자동 신호(TIME_EXIT). 트렌딩장엔 꺼도 됨
5) 목적별 빠른 프리셋
스캘핑(신호 많이)
entryMode = Flip+Pullback
preset = 공격적 또는 중립 + scoreExtra = -0.5
cooldownBars = 0~1, minDistATR = 0~0.2, adxMin = 18~20
필요하면 useCHOP = OFF, atrZmin=0.0/atrZmax=1.0
데이(균형형)
위 “3분 설정” 그대로 쓰면 됨
스윙(정확도 우선)
entryMode = Flip only
preset = 보수적, scoreExtra = +0.5~+1.0
cooldownBars ≥ 3, minDistATR = 0.3~0.5, adxMin = 22~25
필터 전부 ON 유지
6) 자리 고르는 요령
롱이면 VWAP 위, 아래서 위로 재관통 시 더 좋음
바로 위 R1/R2/R3 겹치면 대기 or 사이즈 축소
Pullback은 S1~S3 근처 눌림 + 재관통 조합이 질 높음
7) 신호 안 뜰 때 체크리스트
OBV/MFI 끄고 preset=중립/보수적 → 점수 모자람
상위TF 불일치 or confirmBars 너무 큼
cooldownBars 때문에 막힘
minDistATR 너무 큼(가격이 ST와 너무 가까워야 함)
atrZ 범위 과도(레짐 필터 너무 빡셈)
EMA 정렬(20/50) 안 맞음
res로 다른 TF 계산 중인데 까먹음
8) 초간단 용어
ST(슈퍼트렌드): 추세선. 색이 바이어스
Flip: ST 색 전환
Pullback: 추세 중 되돌림 진입(켈트너+RSI 재진입)
S/R 존: 지지/저항 영역(청록/적갈 채움)
앵커 VWAP: 마지막 Flip부터 계산한 평균가
9) 안전수칙
알림은 봉 마감만 신뢰
지표는 허락장치, 자리는 S/R·VWAP로 판단
레버리지/사이즈는 따로 규칙 만들고 지킬 것
What it is (in plain English)
This is a non-repainting Supertrend system. It gives you two kinds of entries (trend flip and pullback), checks a bunch of sanity filters so you don’t click junk, confirms with a higher timeframe, draws nearby support/resistance zones, anchors a VWAP at the last regime change, and shows simple TP/SL guides. It also pushes JSON alerts you can feed to a bot.
How I’d read it on a chart
Trend first
The thick Supertrend line is the boss: green = long bias, red = short bias.
Signals only count when the higher TF agrees for a few confirmed candles.
Entries
Flip: the Supertrend flips color. That’s your fresh trend start.
Pullback: in an existing trend, price wicks to the Keltner band, then closes back through the midline, and RSI snaps back through its mid level. That’s your “buy the dip / sell the pop”.
Where you are
Teal filled zones = supports (S1–S3). Maroon filled zones = resistances (R1–R3).
Blue/purple lines are yesterday/last week high/low.
Orange line is the anchored VWAP from the last flip (with a soft band). If price hugs it, you’re near “fair”.
Getting out
After a signal, it paints TP1/TP2 by ATR and a guide SL (it respects Supertrend so it doesn’t sit unrealistically tight). There’s also an optional “time exit” if a trade drags on.
What keeps signals honest (filters)
EMA alignment: longs want EMA20 > EMA50 and price above the fast EMA (mirror for shorts).
ADX: wants trend strength above a floor and rising.
Choppiness: avoids heavy range conditions.
Distance to Supertrend: blocks entries that fire right on top of the line.
ATR regime: ignores dead volatility and panic volatility.
OBV/MFI: quick check that flow isn’t fighting you.
Cooldown: don’t fire twice in a row.
There’s also a tiny score: EMA(1pt) + OBV(1) + MFI(1). Your preset sets how many points you demand (Aggressive=2, Neutral=3, Conservative=4). If you turn OBV/MFI off but keep a high demand, you’ll get no signals—easy to forget.
Two ways I’d run it
More trades (scalpy):
Mode: Flip+Pullback
Preset: Aggressive (or Neutral with scoreExtra = -0.5)
Cooldown: 0–1 bars
Min distance to ST: 0–0.2 ATR
ADX min: ~18–20
ATR regime: loosen it if you feel filtered out
Optional: turn off Choppiness if you’re okay with rangy action
Pickier (day/swing):
Mode: Flip only (or Pullback only if you like mean-revert entries)
Preset: Conservative (+ scoreExtra +0.5 to +1.0 if needed)
Cooldown: ≥3 bars
Min distance to ST: 0.3–0.5 ATR
Keep CHOP/ADX/RSI/Keltner/OBV/MFI on
ADX min: ~22–25
Small habits that help
Set alerts on bar close to match the non-repainting logic.
Treat S/R zones and anchored VWAP as context, not hard rules. If a Flip long triggers into stacked resistances and above VWAP, size lighter or wait for a pullback signal.
Don’t forget the score vs. enabled filters. If OBV/MFI are off, max score is 1.
Quick checklist before you click
Higher TF lined up and confirmed?
Entry is Flip or valid Pullback (wick → midline re-cross + RSI re-entry)?
EMA/ADX/CHOP pass? Not sitting on the ST line?
Score meets the preset? ATR regime okay?
Any nasty R1/R2/R3 right in front of you? Where’s anchored VWAP?
TP/SL sensible for the timeframe you’re trading?
Scott's DBOthis is a unique version of a daily breakout strategy, using custom signals, special handling of trading logic, and built to work with traders post for actual trading. Credit to: for the base indicator
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Señal Emocional 9:30 NY [Smart Money Pro+]9:30 NY Signal Strategy with Recovery Logic
A precision-based strategy that triggers one trade daily at 9:30 AM NY. Combines trend, volume, RSI, fractals, VWAP, and emotional bias to generate high-probability BUY/SELL signals. Includes smart recovery mode to manage losses and maintain risk/reward integrity.
Author: Nelson Joaquin Contact: nelsonadames10@gmail.com
Señal V1 9:30 NY [Smart Money Pro+]9:30 NY Signal Strategy with Recovery Logic
A precision-based strategy that triggers one trade daily at 9:30 AM NY. Combines trend, volume, RSI, fractals, VWAP, and emotional bias to generate high-probability BUY/SELL signals. Includes smart recovery mode to manage losses and maintain risk/reward integrity.
Author: Nelson Joaquin Contact: nelsonadames10@gmail.com
