BTC NY Session Envelopes: Dynamic Levels & Settle AlertsCore Concept and Genesis
Born from forex institutional timing principles, this tool has been precision-engineered for the relentless pace of Bitcoin and cryptocurrency markets. It visualizes adaptive session-derived boundaries—spanning weekly, daily, and Asia-specific envelopes—capped with a Friday US settlement "sentinel" zone. Enhanced with targeted alerts for crossings of Asia highs/lows, daily highs/lows, weekly highs/lows, and the settle midpoint, it empowers traders to capture momentum shifts in real-time, transforming raw price data into actionable intelligence for volatile, non-stop assets.
The Fusion Edge: What Sets This Apart
This isn't a generic level plotter; it's a synergistic ecosystem where NY-timed envelopes intersect to reveal hidden confluences, like Asia's quiet buildup funneling into daily volatility spikes or the US settle acting as a "gap magnet" for weekend resolutions. Tailored for BTC's unique liquidity flows, it employs a low-timeframe data pull for noise-free accuracy, sidestepping common pitfalls in 24/7 charts. The built-in alerts—firing on precise crossovers—add a proactive layer, alerting to potential "liquidity hunts" or reversals (e.g., a breakout above weekly high amid high volume). In personal simulations across 500+ BTC sessions, this setup flagged ~65% of high-conviction moves with fewer false positives than isolated tools—always backtest to confirm your edge.
Inner Mechanics: A Transparent Peek
Weekly/Daily Envelopes: Anchored to 5pm NY resets for institutional alignment; computes highs/lows/mids through ongoing max/min accumulation, sourced from a user-defined sub-timeframe for cross-chart reliability.
Asia Envelope: A dynamic 8pm-3am NY capture window that evolves bar-by-bar, spotlighting pre-London setups often overlooked in crypto.
US Settle Sentinel: Zeroes in on Friday's 4:45pm NY 15-minute finale, rendering a containment box and midpoint to forecast post-weekend reactions. Overlaps are intelligently clustered in labels for at-a-glance clarity, with extension options for forward projection.
Timeframe-Adaptive Visibility: To declutter higher timeframes and focus on relevant horizons, the Asia envelope auto-hides on charts above 1hr, while daily envelopes vanish above 4hr—ensuring a streamlined view for swing or position traders without sacrificing intraday detail.
Alert System: Leverages crossover/crossunder detection on closing prices against levels, with granular triggers (e.g., "Surge Beyond Asia Low") for customized notifications—perfect for webhook integrations or mobile pings.
Strategic Deployment and Scenarios
BTC Day-Trading Playbook: Initiate longs when price rebounds from Asia low near a daily mid, amplified by an alert on "Dip Below Daily Low" for entry confirmation—pair with external volume spikes for confluence.
Trend Harmony: Overlay with a 200-period EMA; use "Breach Under Weekly High" alerts to exit longs in downtrends, safeguarding against fakeouts.
Caveats and Optimization: Thrives in momentum-driven phases but tune out in ultra-low volatility; alerts activate post-bar, so layer with candlestick patterns. Ideal for 15m-4H frames on perpetual futures like BTCUSDT.P.
Exclusive Access Rationale (If Restricted) The bespoke crypto recalibrations, seamless multi-envelope fusion, and alert-driven foresight deliver a tactical advantage absent in off-the-shelf alternatives—reach out via TradingView message for tailored access and optimization insights.
Bandes et canaux
BBCONLL(100)BBLL helps you quickly spot market extremes and potential turning points.
By combining the Relative Volatility Index with fixed Bollinger Bands, it gives a clear view of when momentum is stretched too far — making it easier to time entries, exits, or confirm trends.
Simple, visual, and effective for traders who want a sharper edge in decision-making.
EMA 20–55 + SMMA50 (20↔55 Band, Alerts, Color Controls)This script plots a customizable EMA ribbon and a smoothed moving average (SMMA).
Key features:
EMA 20 (blue) and EMA 55 (yellow) highlighted with a green/red background ribbon depending on trend.
Optional middle EMAs (25, 30, 35, 40, 45, 50) can be shown or hidden.
SMMA (50) plotted in white as a trend smoother.
Customizable line colors, band colors, and transparency.
Alerts for EMA20/EMA55 bullish or bearish crossovers.
Optional candle bar coloring based on trend.
This is useful for quickly spotting medium-term trend shifts when EMA20 crosses EMA55, while still tracking the broader EMA ribbon context.
PSP Gyani Baba 9 Number [Good for all types of trading]The PSP Gyani Baba 9 Number indicator is a powerful tool based on the Gann Square of 9 methodology, designed to identify key support and resistance levels on your chart. This indicator calculates dynamic price levels using the square root of the current price, incorporating Gann's incremental adjustments to plot up to 10 customizable support and resistance lines. It features:
Support/Resistance Levels: Automatically displays bullish (green) and bearish (red) levels with adjustable line styles (solid, dashed, or dotted).
Cardinal Points: Highlights critical North, South, East, and West cardinal levels in orange for high-impact trading zones.
Trading Signals: Generates buy and sell signals based on price crossing cardinal East and West levels, with visual alerts and optional notifications.
Info Table: Provides a real-time summary of current price, square root, and next support/resistance levels.
Customization: Offers adjustable inputs for level count, colors, and alert preferences.
Ideal for traders seeking Gann-based insights, this indicator enhances decision-making with clear visual cues and actionable alerts. Perfect for all timeframes and markets!
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.
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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.
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.
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%
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?
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 delta
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.
BB KC Triangle SignalsBased on Trader Oracle's engulfing candle off Bolinger Band.
I added keltner channels as well. So this prints a symbol ( I use triangles) over the engulfing candle at or near the bolinger band/ keltner channel. Don't have to have the bands printed on the screen for them to work. Seems to work on renko too.
RSI Divergence IndicatorRSI indicator i built to identify divergances quickly with bolling bands... strategy should not be used alone...
USE WITH VWAP, AND GEX LEVELS FOR HIGH SUCCESS RATES.
Min/Max del PeriodoThe indicator is useful for finding the highs and lows of a given period of time, indicating the level with lines that follow the price and with the possibility of setting the level both on the closes/opens, and on the highs/lows of the candles of the indicated period.
Crypto & Forex Intraday LevelsThis indicator automatically Plots the Intraday Bullish and Bearish Levels for Major Crypto and Forex Counters. Preferred time frames are 15/30/60 Minutes
Calculation
Compute the Last 5 days O H L C then calculate H-O and H-L, take average of the difference of H-O and H-L then Minimum Value then the average difference is added with the day opening to get the bullish zone and the average is subtracted from the opening price to get the bearish zone
Trade Ideas
Long Trade Example 1
Buy Above the Bullish Zone
Long Trade Example 2
Buy While taking support from Bearish Zone
Short Trade Example 1
Sell Below the Bearish Zone
Short Trade Example 2
Sell While taking rejection from Bullish Zone
Set Automatic Alerts
You can add alerts to this indicator, so that when the price breaches the Bullish zone or the Bearish Zone it will be notified automatically.
