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.
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⚠️ 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.
頻帶和通道
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.
MTF Target Prediction LiteMTF Target Prediction Enhanced Lite
Description:
MTF Target Prediction Enhanced is an advanced multi-timeframe technical analysis indicator that identifies and clusters target price levels based on trendline breakouts across multiple timeframes. The indicator uses sophisticated clustering algorithms to group similar price targets and provides visual feedback through dynamic arrows, cluster boxes, and detailed statistics.
Key Features:
Multi-Timeframe Analysis: Simultaneously analyzes up to 8 different timeframes to identify convergence zones
Smart Clustering: Groups nearby target prices into clusters with quality scoring
Predictive Arrows: Dynamic arrows that track price movement toward cluster targets
Grace Period System: Prevents false cluster loss signals with configurable waiting period
Enhanced Quality Scoring: 5-component quality assessment (Density, Consistency, Reachability, Size, Momentum)
Real-time Statistics: Track performance with win rate, P&L, and success metrics
Adaptive Performance Modes: Optimize for speed or accuracy based on your needs
How It Works:
The indicator identifies pivot points and trendlines on each selected timeframe
When a trendline breakout occurs, it calculates a target price based on the measured move
Multiple targets from different timeframes are grouped into clusters when they converge
Each cluster receives a quality score based on multiple factors
High-quality clusters generate prediction arrows showing potential price targets
The system tracks whether targets are reached or clusters are lost
Settings Guide:
⚡ Performance
Performance Mode: Choose between Fast (200 bars), Balanced (500 bars), Full (1000 bars), or Unlimited processing
🎯 Clustering
Max Cluster Distance (%): Maximum price difference to group targets (default: 1.5%)
Min Cluster Size: Minimum number of targets to form a cluster (default: 2)
One Direction per TF: Allow only one direction signal per timeframe
Cluster Grace Period: Bars to wait before considering cluster lost (default: 10)
➡️ Prediction Arrows
Min Quality for Arrow: Minimum cluster quality to create arrow (0.1-1.0)
Quality Weights: Adjust importance of each quality component
Close Previous Arrows: Auto-close arrows when new ones appear
Use Trend Filter: Create arrows only in trend direction
Trend Filter Intensity: Sensitivity of trend detection (High/Medium/Low)
📅 Timeframes
Pivot Length: Bars for pivot calculation (default: 3)
Timeframes 1-8: Select up to 8 timeframes for analysis
Visualize
Show Cluster Analysis: Display cluster boxes and labels
Show Cluster Boxes: Rectangle visualization around clusters
Show TP Lines: Display individual target price lines
Show Trend Filter: Visualize trend cloud
Show Prediction Arrows: Display directional arrows to targets
Show Statistics Table: Performance metrics display
Visual Elements:
Green/Red Boxes: Cluster zones with transparency based on quality
Arrows: Diagonal lines pointing to cluster targets
Green/Red: Active and tracking
Orange: In grace period
Gray: Cluster lost
Labels: Detailed cluster information including:
Timeframes involved
Center price (C)
Quality score (Q)
Component scores (D,C,R,S,M)
Distance from current price
Result Markers:
✓ Green: Target reached successfully
✗ Red/Gray: Cluster lost
Quality Components Explained:
D (Density): How tightly packed the TPs are relative to ATR
C (Consistency): How close the timeframes are to each other
R (Reachability): Likelihood of reaching target based on distance and trend
S (Size): Number of TPs in cluster (with diminishing returns)
M (Momentum): Alignment with current price momentum
Best Practices:
Start with Balanced performance mode and default settings
Use higher timeframes (D, W) for more reliable clusters
Look for clusters with quality scores above 0.7
Enable trend filter to reduce false signals
Adjust grace period based on your timeframe (higher TF = longer grace)
Monitor the statistics table to track indicator performance
Alerts Available:
High-quality cluster formation (UP/DOWN)
Target reached notifications
Cluster lost warnings
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MTF Target Prediction Enhanced Lite
Описание:
MTF Target Prediction Enhanced - это продвинутый мультитаймфреймовый индикатор технического анализа, который идентифицирует и кластеризует целевые уровни цен на основе пробоев трендовых линий на нескольких таймфреймах. Индикатор использует сложные алгоритмы кластеризации для группировки схожих ценовых целей и предоставляет визуальную обратную связь через динамические стрелки, кластерные боксы и детальную статистику.
Ключевые особенности:
Мультитаймфреймовый анализ: Одновременный анализ до 8 различных таймфреймов для определения зон схождения
Умная кластеризация: Группировка близких целевых цен в кластеры с оценкой качества
Прогнозные стрелки: Динамические стрелки, отслеживающие движение цены к целям кластера
Система Grace Period: Предотвращение ложных сигналов потери кластера с настраиваемым периодом ожидания
Улучшенная оценка качества: 5-компонентная оценка (Плотность, Согласованность, Достижимость, Размер, Импульс)
Статистика в реальном времени: Отслеживание эффективности с винрейтом, P&L и метриками успеха
Адаптивные режимы производительности: Оптимизация скорости или точности по вашим потребностям
Как это работает:
Индикатор определяет опорные точки и трендовые линии на каждом выбранном таймфрейме
При пробое трендовой линии рассчитывается целевая цена на основе измеренного движения
Множественные цели с разных таймфреймов группируются в кластеры при схождении
Каждый кластер получает оценку качества на основе нескольких факторов
Высококачественные кластеры генерируют стрелки прогноза, показывающие потенциальные цели
Система отслеживает достижение целей или потерю кластеров
Руководство по настройкам:
⚡ Производительность
Performance Mode: Выбор между Fast (200 баров), Balanced (500), Full (1000) или Unlimited
🎯 Кластеризация
Max Cluster Distance (%): Максимальная разница цен для группировки (по умолчанию: 1.5%)
Min Cluster Size: Минимальное количество целей для формирования кластера (по умолчанию: 2)
One Direction per TF: Разрешить только один сигнал направления на таймфрейм
Cluster Grace Period: Бары ожидания перед потерей кластера (по умолчанию: 10)
➡️ Стрелки прогноза
Min Quality for Arrow: Минимальное качество кластера для создания стрелки (0.1-1.0)
Quality Weights: Настройка важности каждого компонента качества
Close Previous Arrows: Автозакрытие стрелок при появлении новых
Use Trend Filter: Создавать стрелки только в направлении тренда
Trend Filter Intensity: Чувствительность определения тренда (Высокая/Средняя/Низкая)
📅 Таймфреймы
Pivot Length: Бары для расчета пивота (по умолчанию: 3)
Timeframes 1-8: Выбор до 8 таймфреймов для анализа
Визуализация
Show Cluster Analysis: Отображение боксов и меток кластеров
Show Cluster Boxes: Визуализация прямоугольников вокруг кластеров
Show TP Lines: Отображение линий целевых цен
Show Trend Filter: Визуализация облака тренда
Show Prediction Arrows: Отображение направленных стрелок к целям
Show Statistics Table: Отображение метрик эффективности
Визуальные элементы:
Зеленые/Красные боксы: Зоны кластеров с прозрачностью на основе качества
Стрелки: Диагональные линии, указывающие на цели кластера
Зеленые/Красные: Активные и отслеживающие
Оранжевые: В периоде ожидания
Серые: Кластер потерян
Метки: Детальная информация о кластере:
Задействованные таймфреймы
Центральная цена (C)
Оценка качества (Q)
Оценки компонентов (D,C,R,S,M)
Расстояние от текущей цены
Маркеры результата:
✓ Зеленый: Цель успешно достигнута
✗ Красный/Серый: Кластер потерян
Объяснение компонентов качества:
D (Density/Плотность): Насколько плотно расположены TP относительно ATR
C (Consistency/Согласованность): Насколько близки таймфреймы друг к другу
R (Reachability/Достижимость): Вероятность достижения цели с учетом расстояния и тренда
S (Size/Размер): Количество TP в кластере (с убывающей отдачей)
M (Momentum/Импульс): Соответствие текущему импульсу цены
Лучшие практики:
Начните с режима Balanced и настроек по умолчанию
Используйте старшие таймфреймы (D, W) для более надежных кластеров
Ищите кластеры с оценкой качества выше 0.7
Включите фильтр тренда для уменьшения ложных сигналов
Настройте grace period в зависимости от вашего таймфрейма (старший TF = дольше grace)
Следите за таблицей статистики для отслеживания эффективности индикатора
Доступные алерты:
Формирование высококачественного кластера (ВВЕРХ/ВНИЗ)
Уведомления о достижении цели
Предупреждения о потере кластера
Disclaimer / Отказ от ответственности:
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management.
Данный индикатор предназначен только для образовательных и информационных целей. Прошлые результаты не гарантируют будущих результатов. Всегда проводите собственный анализ и управление рисками.
Daryl Guppy's Multiple Moving Averages - GMMAThe Guppy EMAs indicator (Daryl Guppy’s method) displays two groups of exponential moving averages (EMAs) on the chart:
Fast EMA group: 3, 5, 8, 10, 12, 15 periods (thinner, more responsive lines)
Slow EMA group: 30, 35, 40, 45, 50, 60 periods (thicker, smoother lines)
Color Logic:
Fast EMAs turn AQUA if all fast EMAs are in bullish alignment and slow EMAs are in bullish alignment.
Fast EMAs turn ORANGE if all fast EMAs are in bearish alignment and slow EMAs are in bearish alignment.
Otherwise, fast EMAs appear GRAY.
Slow EMAs turn LIME when in bullish order, RED when bearish, and remain GRAY otherwise.
The area between the outermost fast EMAs and slow EMAs is filled with a semi-transparent silver color for visual emphasis.
RSI Bands With RSI - ATR Trend StrategyRSI Bands With RSI-ATR Trend Line Strategy
Overview
A trend-following strategy that combines RSI regime detection with a smoothed baseline and ATR bands. Works similar to Supertrend: the line flips bullish or bearish only when price closes beyond the band, aiming to filter noise and catch clean moves.
How It Works
RSI above 50 = bullish bias, below 50 = bearish bias
A dynamic baseline is calculated from RSI and price range, then smoothed
ATR bands expand/contract with volatility
Close above the upper band → bullish flip → long entry
Close below the lower band → bearish flip → short entry
Between bands → prior trend continues
Features
Automatic Buy/Sell entries on confirmed flips
Configurable RSI, Smoothing, ATR, and Multiplier inputs
Visual trend line (green = bull, red = bear)
Backtest ready with initial capital and commission settings
Best Use Cases
Trending markets across Forex, Crypto, Indices, Commodities
Works on multiple timeframes (higher TFs = cleaner flips)
Flexible settings for conservative swing trading or aggressive scalping
⚠️ For testing/education only. Always manage risk and confirm with higher-timeframe or structure filters.
Alpha Spread Indicator Panel - [AlphaGroup.Live]Alpha Spread Indicator Panel –
This sub-panel plots the OLS spread between two assets, normalized into percent .
• Green area = spread above zero (Buy Leg1 / Sell Leg2)
• Red area = spread below zero (Sell Leg1 / Buy Leg2)
• The white line shows the exact % deviation of the spread from its fitted baseline
• Optional ±1% and ±2% guides give clear statistical thresholds
Because it’s expressed in percent relative to midprice , the scale remains consistent even if absolute prices change over years.
⚠️ Important: This panel is designed to be used together with the overlay chart:
👉 Alpha Spread Indicator Chart –
Pre-selected asset pairs included:
EURUSD / GBPUSD
AUDUSD / NZDUSD
USDJPY / USDCHF
USDCAD / USDNOK
EURJPY / GBPJPY
AUDJPY / NZDJPY
XAUUSD / XAGUSD
WTI (USOIL) / Brent (UKOIL)
NatGas / Crude
HeatingOil / RBOB
Corn / Wheat
Platinum / Palladium
XOM / CVX
KO / PEP
V / MA
JPM / BAC
NVDA / AMD
BHP / RIO
SHEL / BP
SPY / QQQ
Want more institutional-grade setups? Get our 100 Trading Strategies eBook free at:
alphagroup.live
Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Alpha Spread Indicator Chart - [AlphaGroup.Live]Alpha Spread Indicator Chart –
This overlay plots the two legs of a pair trade directly on the price chart .
• Leg1 is shown in teal
• Leg2 (fitted) is shown in orange
• The green/red filled area shows the distance (spread) between the two
The spread is calculated using OLS regression fitting , which keeps Leg2 scaled to Leg1 so the overlay always sticks to the chart’s price axis. When the fill turns green , the model suggests Buy Leg1 / Sell Leg2; when it turns red , it suggests Sell Leg1 / Buy Leg2.
Optional Z-Score bands help visualize statistical stretch from the mean.
⚠️ Important: To use this tool properly, you also need to install the companion script:
👉 Alpha Spread Indicator Panel –
Pre-selected asset pairs included:
EURUSD / GBPUSD
AUDUSD / NZDUSD
USDJPY / USDCHF
USDCAD / USDNOK
EURJPY / GBPJPY
AUDJPY / NZDJPY
XAUUSD / XAGUSD
WTI (USOIL) / Brent (UKOIL)
NatGas / Crude
HeatingOil / RBOB
Corn / Wheat
Platinum / Palladium
XOM / CVX
KO / PEP
V / MA
JPM / BAC
NVDA / AMD
BHP / RIO
SHEL / BP
SPY / QQQ
Ready to take your trading further? Download our free eBook with 100 trading strategies at:
alphagroup.live
Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Circuit Indicator Gives Circuit Limit of Indian Stocks
No Band is No Circuit Limit (F&O) Stock
2%
5%
10%
20%
Circuit Limit Indicator (parsed input)Shows the circuit Limit if NSE Stocks
No Circuit Limit: FnO Stock
2%
5%
10%
20%
Circuit Limit Indicator (Final)Gives Circuit Limit of Indian Stocks
No Band is No Circuit Limit (F&O) Stock
2%
5%
10%
20%
VWAP Executor — v6 (VWAP fix)tarek helishPractical scalping plan with high-rate (sometimes reaching 70–85% in a quiet market)
Concept: “VWAP bounce with a clear trend.”
Tools: 1–3-minute chart for entry, 5-minute trend filter, VWAP, EMA(50) on 5M, ATR(14) on 1M, volume.
When to trade: London session or early New York session; avoid 10–15 minutes before/after high-impact news.
Entry rules (buy for example):
Trend: Price is above the EMA(50) on 5M and has an upward trend.
Entry zone: First bounce to VWAP (or a ±1 standard deviation channel around it).
Signal: Bullish rejection/engulfing candle on 1M with increasing volume, and RSI(2) has exited oversold territory (optional).
Order: Entry after the confirmation candle closes or a limit close to VWAP.
Trade Management:
Stop: Below the bounce low or 0.6xATR(1M) (strongest).
Target: 0.4–0.7xATR(1M) or the previous micro-high (small return to increase success rate).
Trigger: Move the stop to breakeven after +0.25R; close manually if the 1M candle closes strongly against you.
Filter: Do not trade if the spread widens, or the price "saws" around VWAP without a trend.
Sell against the rules in a downtrend.
Why this plan raises the heat-rate? You buy a "small discount" within an existing trend and near the institutional average price (VWAP), with a small target price.
مواقعي شركة الماسة للخدمات المنزلية
شركة تنظيف بالرياض
نقل عفش بالرياض
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?
Trading HUB V001Entry Logic:
Trades are triggered when the strategy conditions (like breakouts or retests) occur.
Random Trade Filter:
To simulate randomness, the robot only allows a limited number of trades per day. Each trade has a chance to be taken or skipped, ensuring not every signal becomes a trade. This creates a probabilistic, randomized execution style.
Max Trades per Day:
You can define a daily cap (e.g., 30 trades per day). Once this number is reached, no further trades are opened until the next day.
Wrong Direction Exit:
If the price moves too far against the trade (measured by stop-loss distance or deviation threshold), the robot can close the position early instead of holding through large drawdowns.
Backtesting-Friendly:
The random logic is deterministic, meaning that backtests remain consistent and repeatable instead of changing each run.
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
Stella EdgeStella Edge — Quick Guide (EN)
1. What It Does
Stella Edge provides a stellar advantage in the markets by visualizing a key gravitational price level (EMA) and an upper resistance zone based on higher-timeframe volatility (ATR). The system delivers sharp entry signals (▲▼), confirms take-profit targets with a shining star (⭐️), and warns of high-risk "black hole" events (💀), helping you trade with a clear edge.
2. Choosing the Best Markets & Timeframes
This indicator works best in markets that exhibit clear trending and consolidation phases, such as major FX pairs, indices, and cryptocurrencies, especially for scalping and day trading.
Recommended timeframes: 1 minute to 30 minutes.
For high-volatility assets (e.g., BTC, Gold), consider using the higher end of the range (5m to 30m) to focus on more stable zones.
For lower-volatility assets (e.g., major FX pairs), 1m–15m charts can effectively capture shorter-term opportunities.
Tip : Adjust the Higher TF for EMA/ATR setting to match your trading style. A higher TF provides broader, more stable zones, while a lower TF reacts more quickly to price.
3. Building Your Trade Plan
Entry Signals: Look for buy signals (▲) as the price crosses the invisible lower volatility boundary. Look for sell signals (▼) as the price pushes into or crosses the visible upper resistance zone.
Take-Profit Target : The central EMA line is your primary target. The indicator will automatically plot a ⭐️ sign when the price touches this line after an entry signal, indicating a successful exit point.
Stop-Loss Placement : A logical Stop Loss can be placed using a multiple of the ATR or at a recent swing high/low outside the entry band.
Danger Signal (💀): A 💀 icon warns of extreme, news-driven volatility. It is strongly advised to avoid new entries and protect existing positions when this signal appears.
4. Key Parameters
Higher TF for EMA/ATR: The most important setting. This determines the timeframe from which the core EMA/ATR channel is calculated.
ATR Multiplier : Controls the width of the resistance zone and the invisible lower band. Increase for wider zones (fewer signals), decrease for narrower zones (more signals).
Enable Extreme Volatility Filter? : Toggles the 💀 danger signal feature on or off.
ATR & Volume Spike Multiplier : Adjusts the sensitivity of the danger signal. Lower values make the filter more sensitive to spikes.
5. Important Disclaimer
This tool suggests potential trade setups and risk areas; it does not guarantee profit or prevent loss. News shocks, thin liquidity, or abnormal volatility can negate any signal. All trading decisions and resulting P&L are entirely your responsibility. Leveraged trading can exceed your initial deposit—use only risk capital you can afford to lose. We accept no liability for losses or damages arising from the use of this tool.
Stella Edge — クイックガイド (JP)
1. 機能概要
「Stella Edge」は、星の引力のように相場の中心となるEMAラインと、上位足のボラティリティに基づいた抵抗帯（レジスタンスゾーン）を可視化するトレーディングシステムです。
鋭いエントリーサイン（▲▼）、星の輝きのような利確目標（⭐️）、そして危険なブラックホール相場（💀）を知らせる警告で、あなたのトレードに優位性をもたらします。
2. 最適な銘柄・時間軸の選定
スキャルピングやデイトレードなど、短期売買を主体とする銘柄（主要通貨ペア、指数、暗号資産など）と相性◎
推奨時間軸 ：1分足～30分足
ボラティリティが高い銘柄（BTC、ゴールドなど）⇒ 5分～30分足で、より安定したゾーンを基準に分析するのがおすすめです。
ボラティリティが低い銘柄（主要通貨ペアなど）⇒ 1分～15分足で、短期的なチャンスを捉えるのに有効です。
ヒント： 設定のHigher TF for EMA/ATRを調整することで、ご自身のスタイルに合った時間軸のゾーンを表示できます。
3. トレードプランの策定
エントリーポイント: 買いサイン（▲）は、価格が目に見えない下限バンドをクロスしたときに出現します。売りサイン（▼）は、価格が紫色の抵抗帯に侵入、または上に抜けたときに出現します。
利食い目標 : 中心に走るEMAラインが、第一の利食い目標です。エントリー後、価格がこのEMAにタッチすると、利確を示す**⭐️**マークが自動で表示されます。
損切り設定 : ATRを基準にするか、直近の高値・安値の外側など、ご自身のルールに基づいて損切りを必ず設定してください。
危険サイン（💀）について : **💀**マークは、指標発表などで突発的なボラティリティが発生したことを示す警告です。このサインが出現した際は、新規エントリーを避け、ポジション管理を徹底することを強く推奨します。
4. 主要パラメーター解説
Higher TF for EMA/ATR: 最も重要な項目。インジケーターの核となるゾーンを、どの時間足を基準に計算するかを設定します。
ATR Multiplier : 抵抗帯の幅を調整します。数値を大きくするとゾーンが広くなりサインが厳選され、小さくするとゾーンが狭まりサインが増加します。
Enable Extreme Volatility Filter? : 危険サイン（💀）機能のON/OFFを切り替えます。
ATR & Volume Spike Multiplier : 危険サインの感度を調整します。数値を下げるほど、より敏感に異常なボラティリティを検知します。
5. 重要なご注意（Disclaimer）
本ツールは相場の反発ポイントやリスクを示唆するものであり、利益を保証するものではありません。ニュースや低流動性などによりサインが機能しない場合があります。取引で発生する損益はすべてご本人の責任となります。レバレッジ取引は証拠金を超える損失リスクを含みます。必ず余裕資金内でご利用ください。本ツールの利用に起因する損失・損害について、制作者は一切責任を負いません。
QQQQ 1w-1d from Zhumabayevv// === QQQQ Zone бөлігі ===
phaseDay = 24 * 60 * 60 * 1000
phase6h = 6 * 60 * 60 * 1000
week = 7 * phaseDay
getWeekStart() =>
dow = dayofweek
shift = (dow == dayofweek.sunday and hour >= 18) ? 0 : (dow == dayofweek.sunday ? -6 : 1 - dow)
timestamp("America/New_York", year, month, dayofmonth + shift, 18, 0)
var int weekStart = na
if na(weekStart) or time > weekStart + week
weekStart := getWeekStart()
isInQ1 = false
isInQ2 = false
isInQ3 = false
isInQ4 = false
showQ1 = false
showQ2 = false
showQ3 = false
showQ4 = false
for w = -1 to 2
baseTime = weekStart + w * week
for q = 0 to 3
qStart = baseTime + q * phaseDay
qEnd = qStart + phaseDay
inQ = time >= qStart and time < qEnd
if q == 0
isInQ1 := isInQ1 or inQ
showQ1 := showQ1 or (time == qStart)
if q == 1
isInQ2 := isInQ2 or inQ
showQ2 := showQ2 or (time == qStart)
if q == 2
isInQ3 := isInQ3 or inQ
showQ3 := showQ3 or (time == qStart)
if q == 3
isInQ4 := isInQ4 or inQ
showQ4 := showQ4 or (time == qStart)
for i = 1 to 3
t = qStart + i * phase6h
line.new(x1=t, y1=low, x2=t, y2=high, xloc=xloc.bar_time, extend=extend.both, color=color.gray, style=line.style_dashed, width=1)
plotshape(showQ1, location=location.top, style=shape.labelup, text="Q1", color=color.white, textcolor=color.black, size=size.tiny)
plotshape(showQ2, location=location.top, style=shape.labelup, text="Q2", color=color.white, textcolor=color.black, size=size.tiny)
plotshape(showQ3, location=location.top, style=shape.labelup, text="Q3", color=color.white, textcolor=color.black, size=size.tiny)
plotshape(showQ4, location=location.top, style=shape.labelup, text="Q4", color=color.white, textcolor=color.black, size=size.tiny)
bgColor = isInQ1 ? color.new(color.blue, 85) :
isInQ2 ? color.new(color.orange, 85) :
isInQ3 ? color.new(color.red, 85) :
isInQ4 ? color.new(color.green, 85) : na
bgcolor(bgColor)
QQQQ 1W-1D Zhumabayevv// === QQQQ Zone бөлігі ===
phaseDay = 24 * 60 * 60 * 1000
phase6h = 6 * 60 * 60 * 1000
week = 7 * phaseDay
getWeekStart() =>
dow = dayofweek
shift = (dow == dayofweek.sunday and hour >= 18) ? 0 : (dow == dayofweek.sunday ? -6 : 1 - dow)
timestamp("America/New_York", year, month, dayofmonth + shift, 18, 0)
var int weekStart = na
if na(weekStart) or time > weekStart + week
weekStart := getWeekStart()
isInQ1 = false
isInQ2 = false
isInQ3 = false
isInQ4 = false
showQ1 = false
showQ2 = false
showQ3 = false
showQ4 = false
for w = -1 to 2
baseTime = weekStart + w * week
for q = 0 to 3
qStart = baseTime + q * phaseDay
qEnd = qStart + phaseDay
inQ = time >= qStart and time < qEnd
if q == 0
isInQ1 := isInQ1 or inQ
showQ1 := showQ1 or (time == qStart)
if q == 1
isInQ2 := isInQ2 or inQ
showQ2 := showQ2 or (time == qStart)
if q == 2
isInQ3 := isInQ3 or inQ
showQ3 := showQ3 or (time == qStart)
if q == 3
isInQ4 := isInQ4 or inQ
showQ4 := showQ4 or (time == qStart)
for i = 1 to 3
t = qStart + i * phase6h
line.new(x1=t, y1=low, x2=t, y2=high, xloc=xloc.bar_time, extend=extend.both, color=color.gray, style=line.style_dashed, width=1)
plotshape(showQ1, location=location.top, style=shape.labelup, text="Q1", color=color.white, textcolor=color.black, size=size.tiny)
plotshape(showQ2, location=location.top, style=shape.labelup, text="Q2", color=color.white, textcolor=color.black, size=size.tiny)
plotshape(showQ3, location=location.top, style=shape.labelup, text="Q3", color=color.white, textcolor=color.black, size=size.tiny)
plotshape(showQ4, location=location.top, style=shape.labelup, text="Q4", color=color.white, textcolor=color.black, size=size.tiny)
bgColor = isInQ1 ? color.new(color.blue, 85) :
isInQ2 ? color.new(color.orange, 85) :
isInQ3 ? color.new(color.red, 85) :
isInQ4 ? color.new(color.green, 85) : na
bgcolor(bgColor)
Renko Open Range 𝛥
Delta Renko-Style Indicator Guide (NQ Focus)
This indicator takes inspiration from the Renko Chart concept and is optimized for the RTH session (New York time zone), specifically applied to the Nasdaq futures (NQ) product.
If you’re unfamiliar with Renko charts, it may help to review their basics first, as this indicator borrows their clean, block-based perspective to simplify price interpretation.
⸻
🔧 How the Indicator Works
• At market open (9:30 AM EST), the indicator plots a horizontal open price line, referred to as 0 delta.
• From this anchor, it plots 10 incremental levels (deltas) both above and below the open, each spaced by 62.5 NQ points.
Why 62.5?
• With NQ currently trading in the 23,000–24,000 range, a 62.5-point move represents roughly 0.26% of the daily average range.
• This makes each delta step significant enough to capture movement while filtering out smaller noise.
A mini table (location adjustable) displays:
• Current delta zone
• Last touched delta level
This gives you a quick snapshot of where price sits relative to the open.
⸻
📈 How to Read the Market
• At the open, price typically oscillates between 0 and +1 / -1 delta.
• A break beyond this zone often signals stronger directional intent:
• Trending day: price can push into +2, +3, +4, +5 (or the inverse for downside).
• Range day: expect price to bounce between +1, 0, -1 deltas.
⚠️ Note: This is a visualization tool, not a trading system. Its purpose is to help you quickly recognize range vs. trend conditions.
⸻
📊 Example
• In this case, NQ reached +1 delta shortly after open.
• A retest of 0 delta followed, and price later surged to +5/+6 deltas (helped by Fed news).
⸻
🛠️ Practical Uses
This indicator can help you:
• Define profit targets
• Place hard stop levels
• Gauge whether a counter-trend trade is worth the risk
⚠️ Caution: Avoid counter-trend trades if price is aggressively pushing toward +5/+6 or -5/-6 deltas, as trend exhaustion usually hasn’t set in yet.
⸻
🔄 Adapting for ES (S&P Futures)
• On NQ, 62.5 points ≈ $1,250 per contract.
• For ES, this translates to 25 points.
• Since 1 NQ contract ≈ 2 ES contracts in dollar terms, an optimized ES delta step would be 12.5 points.
You may also experiment with different delta values (e.g., 50 or 31.25 for NQ) to align with your risk profile and trading style.
⸻
🧪 Extending Beyond NQ
You can experiment with applying this indicator to ES or even stocks, but non-futures assets may require additional calibration and testing.
⸻
✅ Bottom line: This tool provides a clean, Renko-inspired framework for quickly gauging trend vs. range conditions, setting realistic profit targets, and avoiding poor counter-trend setups.
NOVA LINE RZNOVA LINE RZ — Quick Guide (EN)
1. What It Does
NOVA LINE with Resistance Zone combines buy/sell signals with a dynamic JLINE (triple EMA) analysis. It automatically detects price consolidation zones where the JLINEs cross and draws them as horizontal support/resistance bands extended into the future. By pairing the reversal arrows with these key price levels, the indicator helps you identify high-probability entry points with greater confidence.
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2. Choosing the Best Markets & Timeframes
・This indicator works best in markets that exhibit clear trending and consolidation phases, such as major FX pairs, indices, and cryptocurrencies.
・Recommended timeframes: 15 minutes to 4 hours.
・For high-volatility assets (e.g., BTC, Gold), consider using higher timeframes (1h+) to focus on more significant zones.
・For lower-volatility assets (e.g., major FX pairs), 15m–1h charts can effectively capture key consolidation patterns.
Tip: If too many small zones are cluttering your chart, switch to a higher timeframe for a cleaner perspective.
---
3. Building Your Trade Plan
・Use the Zones as Your Primary Reference. The horizontal bands represent powerful support and resistance areas. A buy/sell arrow that appears as price reacts to one of these zones is a much stronger signal.
・Wait for Confirmation. Treat the arrow as a trigger, not a blind command. Wait for price to test a zone and show a clear reaction (e.g., a rejection candle, an engulfing pattern) before entering.
・Leverage the JLINE Filter. In the indicator settings, you can enable the "JLINE Filter" to only show signals that align with the broader trend direction (i.e., buy signals in a bullish perfect order).
・Define Risk First. Always determine your Stop Loss (e.g., on the other side of the zone) and Take Profit levels before entering a trade.
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4. Key Parameters — JLINE Resistance Zone
Show Resistance Zone
Toggles the visibility of the horizontal price zones.
Max Number of Zones to Display
Sets the maximum number of zones on the chart. Older zones are automatically removed to keep your view clean and focused on the most relevant levels.
Zone Color
Adjusts the color and opacity of the zones to match your chart's theme.
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5. Important Disclaimer
The indicator suggests potential reaction zones and reversals; it does not guarantee them. News shocks, thin liquidity, or abnormal volatility can negate any signal. All trading decisions and resulting P&L are entirely your responsibility. Leveraged trading can exceed your initial deposit—use only risk capital you can afford to lose. We accept no liability for losses or damages arising from the use of this tool.
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NOVA LINE with Resistance Zone — クイックガイド (JP)
1. 機能概要
NOVA LINE RZ（Resistance Zone）は、転換サインとJLINE（3本のEMA）の動的な分析を組み合わせたインジケーターです。
JLINEが収束する「持ち合い価格帯」を自動で検出し、将来のサポート/レジスタンスとして機能する水平帯を描画します。売買サイン（矢印）とこの水平帯を組み合わせることで、より確信を持ってエントリーポイントを判断できるようサポートします。
---
2. 最適な銘柄・時間軸の選定
トレンドと持ち合いが明確に発生する銘柄（主要通貨ペア、指数、暗号資産など）と相性◎
推奨時間軸：15分足〜4時間足
ボラティリティが高い銘柄（BTC、ゴールドなど）⇒ 1時間足以上で、より重要な価格帯に絞って分析するのがおすすめです。
ボラティリティが低い銘柄（主要通貨ペアなど）⇒ 15分〜1時間足で、短期的な持ち合いパターンを捉えるのに有効です。
ヒント： 水平帯の色が濃いほど抵抗帯として機能する可能性が高くなります。水平帯がチャート上に多発して見にくい場合は、コントロールパネルの「Max Number of Zones to Display」をご調整ください。
---
3. トレードプランの策定
水平帯を最重要の基準とする
描画される水平帯は、強力なサポート/レジスタンスエリアです。価格がこの帯に到達し、反発するタイミングで出現する矢印サインは、信頼性の高いエントリー候補となります。
反発の確認を待つ
矢印を機械的なエントリー指示とせず、あくまで「トリガー」として扱ってください。価格が水平帯に到達し、反発のローソク足（例：ピンバー、包み足など）が確定したのを見てからエントリーすることで、精度が向上します。
JLINEフィルターを活用する。
設定で「JLINE Filter」を有効にすると、長期的なトレンド方向と一致するサインのみを表示させることができます（例：上昇パーフェクトオーダー中は買いサインのみ表示）。ただし、天底でのサインは出にくくなります。（Filterが効きすぎるため、デフォルトではOFF表示）
リスクを先に決める
最も重要な項目です。トレード前に必ず損切りライン（例：水平帯の反対側）と利食い目標を設定しましょう。
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4. 主要パラメーター解説 — JLINE Resistance Zone
Show Resistance Zone
水平帯の表示 / 非表示を切り替えます。
Max Number of Zones to Display
チャートに表示する水平帯の最大数を設定します。設定した数を超えると、古い帯から自動で削除され、チャートを常にクリーンに保ちます。
Zone Color
お使いのチャートテーマに合わせて、水平帯の色や透明度を自由に調整できます。
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5. 重要なご注意（Disclaimer）
本ツールは相場の反発ポイントを示唆するものであり、反転を保証するものではありません。ニュースや低流動性などによりサインが機能しない場合があります。取引で発生する損益はすべてご本人の責任となります。レバレッジ取引は証拠金を超える損失リスクを含みます。必ず余裕資金内でご利用ください。本ツールの利用に起因する損失・損害について、制作者は一切責任を負いません。
