MA20 Crossover Strategy with Threshold and Color ChangeMột chiến lược cơ bản dựa trên EMA20. Giá cắt lên MA20 hay EMA20 thi báo mua và ngược lại
頻帶和通道
YBL_LUXE — Squeeze Momentum (Panel + Pinta Velas) v1.0📌 Description of the indicator: YBL_LUXE — Squeeze Momentum Panel
The YBL_LUXE Squeeze Momentum Panel is an advanced tool that combines momentum analysis with a squeeze detector, giving traders a precise view of when the market is contracting and when it may explode into strong directional moves.
🔎 How it works
Momentum Histogram:
Green/Blue bars → Strong bullish pressure.
Red/Orange bars → Strong bearish pressure.
Fading colors → Weakening momentum.
Squeeze ON/OFF signals:
Black dots (ON) → Market is in compression (Bollinger Bands inside Keltner Channels).
Yellow dots (OFF) → Compression is released, possible breakout coming.
⚡ Key Benefits
Detects accumulation phases and breakout conditions.
Highlights true momentum and filters noise.
Clean and professional design, fully customizable.
Works on any asset or timeframe (stocks, indices, futures, forex, crypto).
🎯 Trading Tips
Watch for Squeeze ON (black dots) → the market is storing energy.
When dots switch to Squeeze OFF (yellow) → watch for a potential breakout.
Confirm direction with histogram colors:
Green/blue = bullish bias.
Red/orange = bearish bias.
🛠️ Settings & Customization
Adjustable histogram colors.
Squeeze dots ON/OFF colors.
Zero line visibility.
Histogram style customization.
👉 Ideal for scalping, day trading, and swing trading, this indicator gives you a powerful visual confirmation of market compression and expansion phases.
YBL_LUXE — Squeeze Momentum (Panel + Pinta Velas) v1.0📌 Description of the indicator: YBL_LUXE — Squeeze Panel v1.0
The YBL_LUXE Squeeze Panel combines momentum analysis with the detection of squeeze zones, offering a clear and visually powerful view of when the market is building up energy and when it releases it into directional moves.
🔎 How it works
The histogram shows price momentum:
Strong Green/Blue → Strong bullish momentum.
Strong Red/Orange → Strong bearish momentum.
Lighter colors → Gradual loss of strength.
The Squeeze ON/OFF system (dots):
Black (ON) → Market in compression (Bollinger Bands inside Keltner Channels).
Yellow (OFF) → Market has released compression and may start an explosive move.
⚡ Key advantages
Easily identifies accumulation moments and potential breakouts.
Highlights true momentum, filtering out market noise.
Clean and professional design, 100% customizable in colors and styles.
Works on any timeframe and asset (indices, futures, forex, crypto, stocks).
🎯 How to use
Wait for Squeeze ON (black dots) → market is compressing.
When it switches to Squeeze OFF (yellow dots) → market may release energy and move strongly.
Confirm the direction with the momentum histogram color:
Green/blue → higher probability of bullish breakout.
Red/orange → higher probability of bearish breakout.
🛠️ Customization
From the settings panel you can adjust:
Histogram colors.
Squeeze dots colors (ON/OFF).
Zero line visibility.
Histogram bar style.
👉 This indicator is ideal for scalping, day trading, and swing trading, as it helps detect consolidation zones and strong breakouts, combining compression + momentum.
YBL_LUXE — Squeeze Momentum (Panel + Pinta Velas) v1.0📌 Description of the indicator: YBL_LUXE — Squeeze Panel v1.0
The YBL_LUXE Squeeze Panel combines momentum analysis with the detection of squeeze zones, offering a clear and visually powerful view of when the market is building up energy and when it releases it into directional moves.
🔎 How it works
The histogram shows price momentum:
Strong Green/Blue → Strong bullish momentum.
Strong Red/Orange → Strong bearish momentum.
Lighter colors → Gradual loss of strength.
The Squeeze ON/OFF system (dots):
Black (ON) → Market in compression (Bollinger Bands inside Keltner Channels).
Yellow (OFF) → Market has released compression and may start an explosive move.
⚡ Key advantages
Easily identifies accumulation moments and potential breakouts.
Highlights true momentum, filtering out market noise.
Clean and professional design, 100% customizable in colors and styles.
Works on any timeframe and asset (indices, futures, forex, crypto, stocks).
🎯 How to use
Wait for Squeeze ON (black dots) → market is compressing.
When it switches to Squeeze OFF (yellow dots) → market may release energy and move strongly.
Confirm the direction with the momentum histogram color:
Green/blue → higher probability of bullish breakout.
Red/orange → higher probability of bearish breakout.
🛠️ Customization
From the settings panel you can adjust:
Histogram colors.
Squeeze dots colors (ON/OFF).
Zero line visibility.
Histogram bar style.
👉 This indicator is ideal for scalping, day trading, and swing trading, as it helps detect consolidation zones and strong breakouts, combining compression + momentum.
Donchian Channel BreakoutDonchian Channel Breakout (MNQ and NQ only)
A strategy that uses ATR stops in conjunction with donchian channels to achieve very high winrates/success.
SR Zones - ADA 4HThink of ADA’s price like a ball bouncing in a hallway. This script watches the **4‑hour** chart to spot where the ball keeps **turning around**—those become **floors (support)** and **ceilings (resistance)**. It groups nearby turnarounds into **thick colored bands** (green floors, red ceilings), makes bands **wider when the market is jumpy** and **narrower when it’s calm**, and **strengthens** a band each time price bumps it. Old or weak bands get **cleaned up**, overlapping ones get **merged**, and the bands **extend forward** so you can see likely bounce zones ahead
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.
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.
DR + Fibonacci Zones — 🔵 Bullish Scenario -- 🔴 Bearish ScenarioElliott + Fibonacci Zones — 🔵 Bullish Scenario & 🔴 Bearish Scenario
A visual tool that combines Elliott Waves and Fibonacci levels to help traders map out potential market scenarios.
✦ Features:
Manual plotting of Elliott Waves (1→5) using customizable highs and lows.
Display of classic Fibonacci retracements (0.236 – 0.382 – 0.5 – 0.618 – 0.786) with individual on/off controls.
Display of Fibonacci extensions (1.272 – 1.618) to project possible Wave (5) targets.
Full customization options:
• Line styles (Solid / Dashed / Dotted).
• Line extension (Left / Right / Both / None).
• Label background colors with adjustable transparency.
• Custom text color for labels.
Flexible inputs to adjust wave points according to your own market analysis.
✦ How to Use:
Set the wave levels (Wave 1–4) in the input panel.
Enable or disable Fibonacci levels as needed.
Watch the key retracement and extension areas:
🔵 Bullish scenario: Wave (5) continuation after breaking resistance.
🔴 Bearish scenario: Support failure and breakdown through critical retracement zones.
✦ Benefit:
This indicator provides a clear visual roadmap of critical support and resistance zones, combining Elliott Wave structure with Fibonacci confluence to anticipate potential reversals or price extensions.
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!
Gann HL & Gann Square of 144 - gagan31315Gann HL comprises EMA13 & EMA 21 crossover in single line with color difference. Gann Square of 144 indicates Intraday High Low excluding first and second 5min candles.
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.
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.
________________________________________
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.
________________________________________
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.
________________________________________
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).
________________________________________
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.
________________________________________
⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Marcus Dual + VolDiv — Scalp-(Strategy)_1min[by Irum]VWAP·MTF ADX·Impulse → Filtering weak/fake breakouts, suppressing high price chasing.Cooldown + Fail Cut → Suppressing cluster entry/immediate reversal losses.Scalp Mode (default ON) → Automatic adjustment of length/buffer/divergence sensitivity tailored for 1-minute.OBV Divergence + Sweep/Reclaim → Precision targeting only long at the bottom/short at the top.Immediate use preset (1 minute)scalpMode=ON, useVWAP=ON, minImpulse=0.8~1.0, volExpMult=1.8~2.2Too many signals → Increase effBreakLen(=breakLen), set effBufATR to 0.40, cooldownBars to 30, adxTrendThr to +2.Too few opportunities → Set effBreakLen to 35, effBufATR to 0.30, minImpulse to 0.7, volExpMult to 1.6.
Marcus Donchian + Volume Divergence — Indicator v2//@version=5
indicator("Marcus Donchian + Volume Divergence — Indicator v2", shorttitle="Marcus DV-Ind v2", overlay=true)
// ── Inputs
trendTF = input.timeframe("60", "Trend TF for EMA (상위TF)")
emaLen = input.int(200, "Trend EMA Length", minval=1)
emaSlopeBars = input.int(3, "EMA slope bars (HTF)", minval=1)
breakLen = input.int(50, "Donchian Lookback", minval=2)
sweepLen = input.int(30, "Sweep lookback (Reversal)", minval=3)
atrLen = input.int(14, "ATR Length", minval=1)
breakBufATR = input.float(0.30, "ATR buffer for channel (+/−)", step=0.05)
useADX = input.bool(true, "Use ADX filter?")
adxLen = input.int(14, "ADX Length", minval=1)
adxTrendThr = input.int(28, "Trend ADX ≥", minval=1, maxval=100)
adxRangeMax = input.int(22, "Range ADX ≤", minval=1, maxval=100)
useVolFilter = input.bool(true, "Use volatility filter (ATR%)")
atrMinPct = input.float(0.18, "Min ATR% of price", step=0.01)
useDivFilter = input.bool(true, "Use Volume Divergence filter/confirm?")
pvLen = input.int(5, "Pivot L/R bars (divergence)", minval=2)
divConfirmBars = input.int(30, "Divergence confirm window (bars)", minval=5)
volLen = input.int(20, "Volume MA length")
volExpMult = input.float(1.5, "Volume expansion ×MA", step=0.1)
distZLimitBO = input.float(1.5, "Max |Z| for Trend breakout (ATR)", step=0.1) // 과열 돌파 금지
distZRev = input.float(2.0, "Min |Z| for Reversal (ATR)", step=0.1) // 충분한 할인/프리미엄
allowLongs = input.bool(true, "Enable Longs", inline="SIDE")
allowShorts = input.bool(true, "Enable Shorts", inline="SIDE")
enableTrend = input.bool(true, "Enable Trend (breakout)")
enableRev = input.bool(true, "Enable Reversal (sweep+reclaim)")
// ── Wilder ADX (ta.adx 미탑재 방어)
adxWilder(len) =>
up = ta.change(high)
down = -ta.change(low)
plusDM = (up > down and up > 0) ? up : 0.0
minusDM = (down > up and down > 0) ? down : 0.0
tr_ = math.max(high - low, math.max(math.abs(high - close ), math.abs(low - close )))
smTR = ta.rma(tr_, len)
smPDM = ta.rma(plusDM, len)
smMDM = ta.rma(minusDM, len)
plusDI = 100 * smPDM / smTR
minusDI = 100 * smMDM / smTR
dx = 100 * math.abs(plusDI - minusDI) / math.max(plusDI + minusDI, 1e-10)
ta.rma(dx, len)
// ── Calculations
trendEMA = request.security(syminfo.tickerid, trendTF, ta.ema(close, emaLen))
emaSlope = trendEMA - trendEMA
upper = ta.highest(high, breakLen)
lower = ta.lowest(low, breakLen)
atr = ta.atr(atrLen)
buf = atr * breakBufATR
atrPct = (atr / close) * 100.0
adxVal = adxWilder(adxLen)
Z = (close - trendEMA) / math.max(atr, 1e-10)
// ── OBV & Volume expansion
obvStep = close > close ? volume : close < close ? -volume : 0.0
obv = ta.cum(obvStep)
volMA = ta.sma(volume, volLen)
volExp = volume >= volExpMult * volMA
// ── Pivot-based divergence (모든 상태변수 단일 선언: 재발 방지)
ph = ta.pivothigh(high, pvLen, pvLen) // 확정되면 pvLen 바 전에 찍힘
pl = ta.pivotlow(low, pvLen, pvLen)
var float ph_price_last = na
var float ph_price_prev = na
var float ph_obv_last = na
var float ph_obv_prev = na
var float pl_price_last = na
var float pl_price_prev = na
var float pl_obv_last = na
var float pl_obv_prev = na
if not na(ph)
ph_price_prev := ph_price_last
ph_obv_prev := ph_obv_last
ph_price_last := ph
ph_obv_last := obv // 피벗 바의 OBV
if not na(pl)
pl_price_prev := pl_price_last
pl_obv_prev := pl_obv_last
pl_price_last := pl
pl_obv_last := obv
// 다이버전스 정의
bearDiv = not na(ph_price_prev) and not na(ph_price_last) and (ph_price_last > ph_price_prev) and (ph_obv_last < ph_obv_prev)
bullDiv = not na(pl_price_prev) and not na(pl_price_last) and (pl_price_last < pl_price_prev) and (pl_obv_last > pl_obv_prev)
// 최근 N봉 내 다이버전스 존재?
bearDivRecent = not useDivFilter ? true : (nz(ta.barssince(bearDiv), 1e9) <= divConfirmBars)
bullDivRecent = not useDivFilter ? true : (nz(ta.barssince(bullDiv), 1e9) <= divConfirmBars)
// ── Regime predicates (원자 변수화)
trendStrong = (not useADX) or (adxVal >= adxTrendThr)
rangeLike = (not useADX) or (adxVal <= adxRangeMax)
volOK = (not useVolFilter) or (atrPct >= atrMinPct)
slopeUp = emaSlope > 0
slopeDn = emaSlope < 0
// ── Donchian Breakout (Trend) + 과열(Z) + 거래량 확장 + 역다이버전스 차단
boLong_raw = enableTrend and allowLongs and trendStrong and slopeUp and (Z < distZLimitBO) and ta.crossover(close, upper + buf)
boShort_raw = enableTrend and allowShorts and trendStrong and slopeDn and (Z > -distZLimitBO) and ta.crossunder(close, lower - buf)
boLong = boLong_raw and (not useDivFilter or (volExp and not bearDivRecent))
boShort = boShort_raw and (not useDivFilter or (volExp and not bullDivRecent))
// ── Reversal: sweep & reclaim + Z 임계 + 저 ADX + 다이버전스 확증
sweptLow = low < ta.lowest(low, sweepLen)
sweptHigh = high > ta.highest(high, sweepLen)
reclaimL = close > (lower + buf)
reclaimS = close < (upper - buf)
discOK = Z <= -distZRev
premOK = Z >= distZRev
revLong = enableRev and allowLongs and rangeLike and discOK and sweptLow and reclaimL and (not useDivFilter or bullDivRecent)
revShort = enableRev and allowShorts and rangeLike and premOK and sweptHigh and reclaimS and (not useDivFilter or bearDivRecent)
// ── Final Signals + 변동성 필터
openLongTrend = volOK and boLong
openShortTrend = volOK and boShort
openLongRev = volOK and revLong
openShortRev = volOK and revShort
// ── Alert conditions (웹훅 없음)
alertcondition(openLongTrend, "Open Long (Trend)", "Open Long (Trend breakout)")
alertcondition(openShortTrend, "Open Short (Trend)", "Open Short (Trend breakout)")
alertcondition(openLongRev, "Open Long (Reversal)", "Open Long (Reversal reclaim)")
alertcondition(openShortRev, "Open Short (Reversal)","Open Short (Reversal reject)")
// ── Plots
plot(trendEMA, "Trend EMA (HTF)", color=color.new(color.orange, 0), linewidth=2)
plot(upper, "Donchian Upper", color=color.new(color.blue, 0))
plot(lower, "Donchian Lower", color=color.new(color.blue, 0))
plotshape(boLong, title="BO Long", style=shape.triangleup, location=location.belowbar, color=color.new(color.lime,0), size=size.tiny, text="BO L")
plotshape(boShort, title="BO Short", style=shape.triangledown, location=location.abovebar, color=color.new(color.red ,0), size=size.tiny, text="BO S")
plotshape(revLong, title="REV Long", style=shape.circle, location=location.belowbar, color=color.new(color.teal,0), size=size.tiny, text="REV L")
plotshape(revShort, title="REV Short",style=shape.circle, location=location.abovebar, color=color.new(color.purple,0), size=size.tiny, text="REV S")
plotshape(bullDiv, title="Bull Div", style=shape.labelup, location=location.belowbar, color=color.new(color.green,70), size=size.tiny, text="▲Div")
plotshape(bearDiv, title="Bear Div", style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 70), size=size.tiny, text="▼Div")
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
------------------------------------------------------------------------------------------------------------------
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
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Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
