Bullish Engulfing DetectorBullish engulfing pattern by which we can identify bullish engulfing pattern
Indicadores y estrategias
Inverted USDT DominanceInverted USDT Dominance Indicator
This simple yet powerful indicator plots the inverted USDT Dominance (USDT.D), making it visually intuitive to analyze market sentiment shifts. Typically, USDT dominance rises when investors seek stability, indicating a "risk-off" market environment. Conversely, it falls when investors pursue riskier assets like cryptocurrencies, signaling a "risk-on" environment.
Why invert the USDT Dominance chart?
By flipping USDT Dominance around the zero line, this indicator allows traders and investors to more clearly visualize its correlation and divergence with traditional market indicators like the 10-year Treasury yield (TNX), Bitcoin, or equity indices. A rising line on this inverted indicator intuitively indicates increasing market risk appetite, whereas a falling line highlights growing risk aversion.
Use cases:
Quickly visualize market sentiment (risk-on vs. risk-off).
Identify divergences and correlations between crypto markets and traditional financial instruments.
Enhance portfolio allocation decisions by clearly seeing sentiment changes.
Correlation Table Small MonitorVersione per monitor più piccoli
Strumento avanzato per l'analisi delle correlazioni in tempo reale su TradingView. Consente di monitorare fino a 32 asset (forex, materie prime, coppie esotiche) tramite una tabella verticale con codifica colore: verde per correlazione positiva, rosso per negativa e bianco per neutralità. Calcola la correlazione rispetto allo strumento principale del grafico utilizzando una formula basata sulla covarianza, con periodo regolabile (default 50 candele) e risultati espressi in percentuale da -100% a +100%.
Personalizzabile nei simboli, nel periodo di calcolo e nell’intensità dei colori. Ideale per diversificazione del portafoglio, conferma di trend, strategie di hedging e analisi intermarket. I dati si aggiornano in tempo reale in base al timeframe selezionato. Sconsigliato per timeframe inferiori a 15 minuti a causa del rumore statistico, con suggerimento di aumentare i periodi di calcolo (es. 80-100) per maggiore precisione.
Correlation Table 4K Monitor - VerticalStrumento avanzato per l'analisi delle correlazioni in tempo reale su TradingView. Consente di monitorare fino a 32 asset (forex, materie prime, coppie esotiche) tramite una tabella verticale con codifica colore: verde per correlazione positiva, rosso per negativa e bianco per neutralità. Calcola la correlazione rispetto allo strumento principale del grafico utilizzando una formula basata sulla covarianza, con periodo regolabile (default 50 candele) e risultati espressi in percentuale da -100% a +100%.
Personalizzabile nei simboli, nel periodo di calcolo e nell’intensità dei colori. Ideale per diversificazione del portafoglio, conferma di trend, strategie di hedging e analisi intermarket. I dati si aggiornano in tempo reale in base al timeframe selezionato. Sconsigliato per timeframe inferiori a 15 minuti a causa del rumore statistico, con suggerimento di aumentare i periodi di calcolo (es. 80-100) per maggiore precisione.
[GYTS-CE] Market Regime Detector🧊 Market Regime Detector (Community Edition)
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- INTRODUCTION --------- 🌸
💮 What is the Market Regime Detector?
The Market Regime Detector is an advanced, consensus-based indicator that identifies the current market state to increase the probability of profitable trades. By distinguishing between trending (bullish or bearish) and cyclic (range-bound) market conditions, this detector helps you select appropriate tactics for different environments. Instead of forcing a single strategy across all market conditions, our detector allows you to adapt your approach based on real-time market behaviour.
💮 The Importance of Market Regimes
Markets constantly shift between different behavioural states or "regimes":
• Bullish trending markets - characterised by sustained upward price movement
• Bearish trending markets - characterised by sustained downward price movement
• Cyclic markets - characterised by range-bound, oscillating behaviour
Each regime requires fundamentally different trading approaches. Trend-following strategies excel in trending markets but fail in cyclic ones, while mean-reversion strategies shine in cyclic markets but underperform in trending conditions. Detecting these regimes is essential for successful trading, which is why we've developed the Market Regime Detector to accurately identify market states using complementary detection methods.
🌸 --------- KEY FEATURES --------- 🌸
💮 Consensus-Based Detection
Rather than relying on a single method, our detector employs two complementary detection methodologies that analyse different aspects of market behaviour:
• Dominant Cycle Average (DCA) - analyzes price movement relative to its lookback period, a proxy for the dominant cycle
• Volatility Channel - examines price behaviour within adaptive volatility bands
These diverse perspectives are synthesised into a robust consensus that minimises false signals while maintaining responsiveness to genuine regime changes.
💮 Dominant Cycle Framework
The Market Regime Detector uses the concept of dominant cycles to establish a reference framework. You can input the dominant cycle period that best represents the natural rhythm of your market, providing a stable foundation for regime detection across different timeframes.
💮 Intuitive Parameter System
We've distilled complex technical parameters into intuitive controls that traders can easily understand:
• Adaptability - how quickly the detector responds to changing market conditions
• Sensitivity - how readily the detector identifies transitions between regimes
• Consensus requirement - how much agreement is needed among detection methods
This approach makes the detector accessible to traders of all experience levels while preserving the power of the underlying algorithms.
💮 Visual Market Feedback
The detector provides clear visual feedback about the current market regime through:
• Colour-coded chart backgrounds (purple shades for bullish, pink for bearish, yellow for cyclic)
• Colour-coded price bars
• Strength indicators showing the degree of consensus
• Customizable colour schemes to match your preferences or trading system
💮 Integration in the GYTS suite
The Market Regime Detector is compatible with the GYTS Suite , i.e. it passes the regime into the 🎼 Order Orchestrator where you can set how to trade the trending and cyclic regime.
🌸 --------- CONFIGURATION SETTINGS --------- 🌸
💮 Adaptability
Controls how quickly the Market Regime detector adapts to changing market conditions. You can see it as a low-frequency, long-term change parameter:
Very Low: Very slow adaptation, most stable but may miss regime changes
Low: Slower adaptation, more stability but less responsiveness
Normal: Balanced between stability and responsiveness
High: Faster adaptation, more responsive but less stable
Very High: Very fast adaptation, highly responsive but may generate false signals
This setting affects lookback periods and filter parameters across all detection methods.
💮 Sensitivity
Controls how sensitive the detector is to market regime transitions. This acts as a high-frequency, short-term change parameter:
Very Low: Requires substantial evidence to identify a regime change
Low: Less sensitive, reduces false signals but may miss some transitions
Normal: Balanced sensitivity suitable for most markets
High: More sensitive, detects subtle regime changes but may have more noise
Very High: Very sensitive, detects minor fluctuations but may produce frequent changes
This setting affects thresholds for regime detection across all methods.
💮 Dominant Cycle Period
This parameter allows you to specify the market's natural rhythm in bars. This represents a complete market cycle (up and down movement). Finding the right value for your specific market and timeframe might require some experimentation, but it's a crucial parameter that helps the detector accurately identify regime changes. Most of the times the cycle is between 20 and 40 bars.
💮 Consensus Mode
Determines how the signals from both detection methods are combined to produce the final market regime:
• Any Method (OR) : Signals bullish/bearish if either method detects that regime. If methods conflict (one bullish, one bearish), the stronger signal wins. More sensitive, catches more regime changes but may produce more false signals.
• All Methods (AND) : Signals only when both methods agree on the regime. More conservative, reduces false signals but might miss some legitimate regime changes.
• Weighted Decision : Balances both methods with equal weighting. Provides a middle ground between sensitivity and stability.
Each mode also calculates a continuous regime strength value that's used for colour intensity in the 'unconstrained' display mode.
💮 Display Mode
Choose how to display the market regime colours:
• Unconstrained regime: Shows the regime strength as a continuous gradient. This provides more nuanced visualisation where the intensity of the colour indicates the strength of the trend.
• Consensus only: Shows only the final consensus regime with fixed colours based on the detected regime type.
The background and bar colours will change to indicate the current market regime:
• Purple shades: Bullish trending market (darker purple indicates stronger bullish trend)
• Pink shades: Bearish trending market (darker pink indicates stronger bearish trend)
• Yellow: Cyclic (range-bound) market
💮 Custom Colour Options
The Market Regime Detector allows you to customize the colour scheme to match your personal preferences or to coordinate with other indicators:
• Use custom colours: Toggle to enable your own colour choices instead of the default scheme
• Transparency: Adjust the transparency level of all regime colours
• Bullish colours: Define custom colours for strong, medium, weak, and very weak bullish trends
• Bearish colours: Define custom colours for strong, medium, weak, and very weak bearish trends
• Cyclic colour: Define a custom colour for cyclic (range-bound) market conditions
🌸 --------- DETECTION METHODS --------- 🌸
💮 Dominant Cycle Average (DCA)
The Dominant Cycle Average method forms a key part of our detection system:
1. Theoretical Foundation :
The DCA method builds on cycle analysis and the observation that in trending markets, price consistently remains on one side of a moving average calculated using the dominant cycle period. In contrast, during cyclic markets, price oscillates around this average.
2. Calculation Process :
• We calculate a Simple Moving Average (SMA) using the specified lookback period - a proxy for the dominant cycle period
• We then analyse the proportion of time that price spends above or below this SMA over a lookback window. The theory is that the price should cross the SMA each half cycle, assuming that the dominant cycle period is correct and price follows a sinusoid.
• This lookback window is adaptive, scaling with the dominant cycle period (controlled by the Adaptability setting)
• The different values are standardised and normalised to possess more resolving power and to be more robust to noise.
3. Regime Classification :
• When the normalised proportion exceeds a positive threshold (determined by Sensitivity setting), the market is classified as bullish trending
• When it falls below a negative threshold, the market is classified as bearish trending
• When the proportion remains between these thresholds, the market is classified as cyclic
💮 Volatility Channel
The Volatility Channel method complements the DCA method by focusing on price movement relative to adaptive volatility bands:
1. Theoretical Foundation :
This method is based on the observation that trending markets tend to sustain movement outside of normal volatility ranges, while cyclic markets tend to remain contained within these ranges. By creating adaptive bands that adjust to current market volatility, we can detect when price behaviour indicates a trending or cyclic regime.
2. Calculation Process :
• We first calculate a smooth base channel center using a low pass filter, creating a noise-reduced centreline for price
• True Range (TR) is used to measure market volatility, which is then smoothed and scaled by the deviation factor (controlled by Sensitivity)
• Upper and lower bands are created by adding and subtracting this scaled volatility from the centreline
• Price is smoothed using an adaptive A2RMA filter, which has a very flat and stable behaviour, to reduce noise while preserving trend characteristics
• The position of this smoothed price relative to the bands is continuously monitored
3. Regime Classification :
• When smoothed price moves above the upper band, the market is classified as bullish trending
• When smoothed price moves below the lower band, the market is classified as bearish trending
• When price remains between the bands, the market is classified as cyclic
• The magnitude of price's excursion beyond the bands is used to determine trend strength
4. Adaptive Behaviour :
• The smoothing periods and deviation calculations automatically adjust based on the Adaptability setting
• The measured volatility is calculated over a period proportional to the dominant cycle, ensuring the detector works across different timeframes
• Both the center line and the bands adapt dynamically to changing market conditions, making the detector responsive yet stable
This method provides a unique perspective that complements the DCA approach, with the consensus mechanism synthesising insights from both methods.
🌸 --------- USAGE GUIDE --------- 🌸
💮 Starting with Default Settings
The default settings (Normal for Adaptability and Sensitivity, Weighted Decision for Consensus Mode) provide a balanced starting point suitable for most markets and timeframes. Begin by observing how these settings identify regimes in your preferred instruments.
💮 Finding the Optimal Dominant Cycle
The dominant cycle period is a critical parameter. Here are some approaches to finding an appropriate value:
• Start with typical values, usually something around 25 works well
• Visually identify the average distance between significant peaks and troughs
• Experiment with different values and observe which provides the most stable regime identification
• Consider using cycle-finding indicators to help identify the natural rhythm of your market
💮 Adjusting Parameters
• If you notice too many regime changes → Decrease Sensitivity or increase Consensus requirement
• If regime changes seem delayed → Increase Adaptability
• If a trending regime is not detected, the market is automatically assigned to be in a cyclic state
• If you want to see more nuanced regime transitions → Try the "unconstrained" display mode (note that this will not affect the output to other indicators)
💮 Trading Applications
Regime-Specific Strategies:
• Bullish Trending Regime - Use trend-following strategies, trail stops wider, focus on breakouts, consider holding positions longer, and emphasize buying dips
• Bearish Trending Regime - Consider shorts, tighter stops, focus on breakdown points, sell rallies, implement downside protection, and reduce position sizes
• Cyclic Regime - Apply mean-reversion strategies, trade range boundaries, apply oscillators, target definable support/resistance levels, and use profit-taking at extremes
Strategy Switching:
Create a set of rules for each market regime and switch between them based on the detector's signal. This approach can significantly improve performance compared to applying a single strategy across all market conditions.
GYTS Suite Integration:
• In the GYTS 🎼 Order Orchestrator, select the '🔗 STREAM-int 🧊 Market Regime' as the market regime source
• Note that the consensus output (i.e. not the "unconstrained" display) will be used in this stream
• Create different strategies for trending (bullish/bearish) and cyclic regimes. The GYTS 🎼 Order Orchestrator is specifically made for this.
• The output stream is actually very simple, and can possibly be used in indicators and strategies as well. It outputs 1 for bullish, -1 for bearish and 0 for cyclic regime.
🌸 --------- FINAL NOTES --------- 🌸
💮 Development Philosophy
The Market Regime Detector has been developed with several key principles in mind:
1. Robustness - The detection methods have been rigorously tested across diverse markets and timeframes to ensure reliable performance.
2. Adaptability - The detector automatically adjusts to changing market conditions, requiring minimal manual intervention.
3. Complementarity - Each detection method provides a unique perspective, with the collective consensus being more reliable than any individual method.
4. Intuitiveness - Complex technical parameters have been abstracted into easily understood controls.
💮 Ongoing Refinement
The Market Regime Detector is under continuous development. We regularly:
• Fine-tune parameters based on expanded market data
• Research and integrate new detection methodologies
• Optimise computational efficiency for real-time analysis
Your feedback and suggestions are very important in this ongoing refinement process!
Customizable 3 EMA with RVOLCustomizable 3 EMA with RVOL
This TradingView indicator provides a customizable triple EMA setup along with Relative Volume (RVOL) to help traders analyze trends and market activity effectively.
Features:
✅ Three Exponential Moving Averages (EMAs): Customize the short, medium, and long-term EMAs to fit your trading strategy.
✅ Relative Volume (RVOL): Compares current volume with the average over a selected period to identify unusual trading activity.
✅ Table Display: A clean table in the top-right corner of the chart shows real-time EMA values (rounded to 2 decimals) and RVOL.
Use Cases:
🔹 Identify trend direction with EMA crossovers.
🔹 Spot high-volume breakouts with RVOL.
🔹 Improve trade entries and exits with dynamic support/resistance from EMAs.
This indicator is ideal for traders who rely on trend-following strategies and volume analysis to make informed trading decisions. 🚀
Let me know if you need any refinements!
Pi Cycle+Pi Cycle Indicator with addons.
Above the white line is bullish
below is bearish
Orange line is a good place to take profits. Red is a GREAT place to take big profits.
Green and purple often act as floors or local bottoms.
Works well for bitcoin but also has applications in stocks that possess more volatility
Forex Overwiew True Strenght IndexModified FOTSI of Stefano Panetta to improve quality of life.
Automatically selects the currency in charts.
Cleaner Labels
added XAU
By vriell
BTC: Open InterestThis indicator tracks the 7-day (default) percentage change in open interest (OI), providing insights into market participation trends. It includes customizable periods and colors, allowing traders to adjust settings for better visualization.
Open interest (OI) is the total number of active contracts (futures or options) that haven’t been closed or settled. It represents the total open positions in the market.
Thus when OI increases, more traders are entering new positions, signaling growing market interest. Conversely, when OI decreases, positions are being closed, suggesting lower trader participation or liquidation.
Attributes & Features:
Open Interest Percentage Change – Measures the 7-day % change in open interest to track market participation.
Customizable Calculation Period – Users can adjust the period (default: 7 days) for more flexible analysis.
Adjustable Colors – Allows modification of colors for better visualization.
Trend Identification – Highlights rising vs. falling open interest trends.
Works Across Assets – Can be used for cryptos, stocks, and futures with open interest data.
Overlay or Separate Panel – Can be plotted on price chart or as a separate indicator.
How It Works:
Fetches Open Interest Data – Retrieves open interest values for each day for USD, USDT, and USDC Bitcoin Perpetual Derivitives.
Calculates Percentage Change – Compares current open interest to its value X days ago (Default = 7 days).
Standard Deviation – Applies standard deviation ranging from -2 to +2 deviations to identify large shifts in OI.
Visual Alerts – Can highlight extreme increases or decreases signaling potential market shifts.
NOTE: THE INDICATOR DATA ONLY GOES BACK TO START OF 2022
XGBoost Approximation Indicator with HTF Filter Ver. 3.2XGBoost Approx Indicator with Higher Timeframe Filter Ver. 3.2
What It Is
The XGBoost Approx Indicator is a technical analysis tool designed to generate trading signals based on a composite of multiple indicators. It combines Simple Moving Average (SMA), Relative Strength Index (RSI), MACD, Rate of Change (ROC), and Volume to create a composite indicator score. Additionally, it incorporates a higher timeframe filter (HTF) to enhance trend confirmation and reduce false signals.
This indicator helps traders identify long (buy) and short (sell) opportunities based on a weighted combination of trend-following and momentum indicators.
How to Use It Properly
Setup and Configuration:
Add the indicator to your TradingView chart.
Customize input settings based on your trading strategy. Key configurable inputs include:
HTF filter (default: 1-hour)
SMA, RSI, MACD, and ROC lengths
Custom weightings for each component
Thresholds for buy and sell signals
Understanding the Signals:
Green "Long" Label: Appears when the composite indicator crosses above the buy threshold, signaling a potential buy opportunity.
Red "Short" Label: Appears when the composite indicator crosses below the sell threshold, signaling a potential sell opportunity.
These signals are filtered by a higher timeframe SMA trend to improve accuracy.
Alerts:
The indicator provides alert conditions for long and short entries.
Traders can enable alerts in TradingView to receive real-time notifications when a new signal is triggered.
Safety and Best Practices
Use in Conjunction with Other Analysis: Do not rely solely on this indicator. Combine it with price action, support/resistance levels, and fundamental analysis for better decision-making.
Adjust Settings for Your Strategy: The default settings may not suit all markets or timeframes. Test different configurations before trading live.
Backtest Before Using in Live Trading: Evaluate the indicator’s past performance on historical data to assess its effectiveness in different market conditions.
Avoid Overtrading: False signals can occur, especially in low volatility or choppy markets. Use additional confirmation (e.g., trendlines or moving averages).
Risk Management: Always set stop-loss levels and position sizes to limit potential losses.
Higher Timeframe Support/ResistanceMulti-Timeframe Support/Resistance Indicator
This TradingView indicator helps you monitor important support and resistance levels based on the previous candle’s high, low, and close from a higher timeframe. By default, it uses a daily timeframe, but you can adjust this to any timeframe you want.
Key Features:
- Previous Candle High (PCH) and Previous Candle Low (PCL):
These levels are plotted on your chart (if enabled) and can act as potential support and
resistance zones. You can toggle the visibility of these levels.
- Pivot, Resistance (R1), and Support (S1):
The script calculates Pivot, R1 (Resistance), and S1 (Support) levels based on the previous
candle's price action from the selected higher timeframe.
These levels are displayed on your chart and can be used to identify potential breakout or
reversal points.
- Alert Feature:
Alerts are triggered when the price approaches any of these key levels (PCH, PCL, Pivot, R1,
or S1) within a specified threshold (e.g., 0.5%).
This helps traders react quickly to potential price movements near critical levels.
- Visual Representation:
The script visually fills the areas between Pivot and R1 (Resistance-Pivot Zone) and Pivot and
S1 (Support-Pivot Zone) with color for easy identification of key price zones.
Combined ATR + VolumeOverview
The Combined ATR + Volume indicator (C-ATR+Vol) is designed to measure both price volatility and market participation by merging the Average True Range (ATR) and trading volume into a single normalized value. This provides traders with a more comprehensive tool than ATR alone, as it highlights not only how much price is moving, but also whether there is sufficient volume behind those moves.
Originality & Utility
Two Key Components
ATR (Average True Range): Measures price volatility by analyzing the range (high–low) over a specified period. A higher ATR often indicates larger price swings.
Volume: Reflects how actively traders are participating in the market. High volume typically indicates strong buying or selling interest.
Normalized Combination
Both ATR and volume are independently normalized to a 0–100 range.
The final output (C-ATR+Vol) is the average of these two normalized values. This makes it easy to see when both volatility and market participation are relatively high.
Practical Use
Above 80: Signifies elevated volatility and strong volume. Markets may experience significant moves.
Around 50–80: Indicates moderate activity. Price swings and volume are neither extreme nor minimal.
Below 50: Suggests relatively low volatility and lower participation. The market may be ranging or consolidating.
This combined approach can help filter out situations where volatility is high but volume is absent—or vice versa—providing a more reliable context for potential breakouts or trend continuations.
Indicator Logic
ATR Calculation
Uses Pine Script’s built-in ta.tr(true) function to measure true range, then smooths it with a user-selected method (RMA, SMA, EMA, or WMA).
Key Input: ATR Length (default 14).
Volume Calculation
Smooths the built-in volume variable using the same selectable smoothing methods.
Key Input: Volume Length (default 14).
Normalization
For each metric (ATR and Volume), the script finds the lowest and highest values over the lookback period and converts them into a 0–100 scale:
normalized value
=(current value−min)(max−min)×100
normalized value= (max−min)(current value−min) ×100
Combined Score
The final plot is the average of Normalized ATR and Normalized Volume. This single value simplifies the process of identifying high-volatility, high-volume conditions.
How to Use
Setup
Add the indicator to your chart.
Adjust ATR Length, Volume Length, and Smoothing to match your preferred time horizon or chart style.
Interpretation
High Values (above 80): The market is experiencing significant price movement with high participation. Potential for strong trends or breakouts.
Moderate Range (50–80): Conditions are active but not extreme. Trend setups may be forming.
Low Values (below 50): Indicates quieter markets with reduced liquidity. Expect ranging or less decisive moves.
Strategy Integration
Use C-ATR+Vol alongside other trend or momentum indicators (e.g., Moving Averages, RSI, MACD) to confirm potential entries/exits.
Combine it with support/resistance or price action analysis for a broader market view.
Important Notes
This script is open-source and intended as a community contribution.
No Future Guarantee: Past market behavior does not guarantee future results. Always use proper risk management and validate signals with additional tools.
The indicator’s performance may vary depending on timeframes, asset classes, and market conditions.
Adjust inputs as needed to suit different instruments or personal trading styles.
By adhering to TradingView’s publishing rules, this script is provided with sufficient detail on what it does, how it’s unique, and how traders can use it. Feel free to customize the settings and experiment with other technical indicators to develop a trading methodology that fits your objectives.
🔹 Combined ATR + Volume (C-ATR+Vol) 지표 설명
이 인디케이터는 ATR(Average True Range)와 거래량(Volume)을 결합하여 시장의 변동성과 유동성을 동시에 측정하는 지표입니다.
ATR은 가격 변동성의 크기를 나타내며, 거래량은 시장 참여자의 활동 수준을 반영합니다. 보통 높은 ATR은 가격 변동이 크다는 의미이고, 높은 거래량은 시장에서 적극적인 거래가 이루어지고 있음을 나타냅니다.
이 두 지표를 각각 0~100 범위로 정규화한 후, 평균을 구하여 "Combined ATR + Volume (C-ATR+Vol)" 값을 계산합니다.
이를 통해 단순한 가격 변동성뿐만 아니라 거래량까지 고려하여, 더욱 신뢰성 있는 변동성 판단을 할 수 있도록 도와줍니다.
📌 핵심 개념
1️⃣ ATR (Average True Range)란?
시장의 변동성을 측정하는 지표로, 일정 기간 동안의 고점-저점 변동폭을 기반으로 계산됩니다.
ATR이 높을수록 가격 변동이 크며, 낮을수록 횡보장이 지속될 가능성이 큽니다.
하지만 ATR은 방향성을 제공하지 않으며, 단순히 변동성의 크기만을 나타냅니다.
2️⃣ 거래량 (Volume)의 역할
거래량은 시장 참여자의 관심과 유동성을 반영하는 중요한 요소입니다.
높은 거래량은 강한 매수 또는 매도세가 존재함을 의미하며, 낮은 거래량은 시장 참여가 적거나 관심이 줄어들었음을 나타냅니다.
3️⃣ ATR + 거래량의 결합 (C-ATR+Vol)
단순한 ATR 값만으로는 변동성이 커도 거래량이 부족할 수 있으며, 반대로 거래량이 많아도 변동성이 낮을 수 있습니다.
이를 해결하기 위해 ATR과 거래량을 각각 0~100으로 정규화하여 균형 잡힌 변동성 지표를 만들었습니다.
두 지표의 평균값을 계산하여, 가격 변동과 거래량이 동시에 높은지를 측정할 수 있도록 설계되었습니다.
📊 사용법 및 해석
80 이상 → 강한 변동성 구간
가격 변동성이 크고 거래량도 높은 상태
강한 추세가 진행 중이거나 큰 변동이 일어날 가능성이 큼
상승/하락 방향성을 확인한 후 트렌드를 따라가는 전략이 유리
50~80 구간 → 보통 수준의 변동성
가격 움직임이 일정하며, 거래량도 적절한 수준
점진적인 추세 형성이 이루어질 가능성이 있음
시장이 점진적으로 상승 혹은 하락할 가능성이 크므로, 보조지표를 활용하여 매매 타이밍을 결정하는 것이 중요
50 이하 → 낮은 변동성 및 유동성 부족
가격 변동이 적고, 거래량도 낮은 상태
시장이 횡보하거나 조정 기간에 들어갈 가능성이 큼
박스권 매매(지지/저항 활용) 또는 돌파 전략을 고려할 수 있음
💡 활용 방법 및 전략
✅ 1. 트렌드 판단 보조지표로 활용
단독으로 사용하는 것보다는 RSI, MACD, 이동평균선(MA) 등의 지표와 함께 활용하는 것이 효과적입니다.
예를 들어, MACD가 상승 신호를 주고, C-ATR+Vol 값이 80을 초과하면 강한 상승 추세로 해석할 수 있습니다.
✅ 2. 변동성 돌파 전략에 활용
C-ATR+Vol이 80 이상인 구간에서 가격이 특정 저항선을 돌파한다면, 강한 추세의 시작을 의미할 수 있습니다.
반대로, C-ATR+Vol이 50 이하에서 가격이 저항선에 가까워지면 돌파 가능성이 낮아질 수 있습니다.
✅ 3. 시장 참여도와 변동성 확인
단순히 ATR만 높아서는 신뢰하기 어려운 경우가 많습니다. 예를 들어, 급등 후 거래량이 급감하면 상승 지속 가능성이 낮아질 수도 있습니다.
하지만 C-ATR+Vol을 사용하면 거래량이 함께 증가하는지를 확인하여 보다 신뢰할 수 있는 분석이 가능합니다.
🚀 결론
🔹 Combined ATR + Volume (C-ATR+Vol) 인디케이터는 단순한 ATR이 아니라 거래량까지 고려하여 변동성을 측정하는 강력한 도구입니다.
🔹 시장이 큰 움직임을 보일 가능성이 높은 구간을 찾는 데 유용하며, 80 이상일 경우 강한 변동성이 있음을 나타냅니다.
🔹 단독으로 사용하기보다는 보조지표와 함께 활용하여, 트렌드 분석 및 돌파 전략 등에 효과적으로 적용할 수 있습니다.
📌 주의사항
변동성이 크다고 해서 반드시 가격이 급등/급락한다는 보장은 없습니다.
특정한 매매 전략 없이 단순히 이 지표만 보고 매수/매도를 결정하는 것은 위험할 수 있습니다.
시장 상황에 따라 변동성의 의미가 다르게 작용할 수 있으므로, 반드시 다른 보조지표와 함께 활용하는 것이 중요합니다.
🔥 이 지표를 활용하여 시장의 변동성과 거래량을 보다 효과적으로 분석해보세요! 🚀
Multi-EMA Direction Indicator
Multi-EMA Direction Indicator
This customizable indicator displays five Exponential Moving Averages with color changes based on their direction, making trend identification easier across multiple timeframes.
Features:
Fully customizable EMA periods (default: 10, 20, 50, 150, 200)
Color-coded EMAs that turn green when rising and red when falling
Different line weights to distinguish between shorter and longer-term averages
Simple visual identification of trend direction for each moving average
Perfect for identifying trend direction, potential reversals, and multi-timeframe analysis. The color-changing feature eliminates the need to manually track EMA direction, allowing for quicker trading decisions.
Customize the EMA periods in the settings to match your specific trading strategy and timeframe.
The script now allows users to set their own preferred EMA periods through the input settings, with the default values of 10, 20, 50, 150, and 200. Each EMA is now labeled as EMA1 through EMA5 in both the settings and the chart legend.
Range Filter Buy and Sell 5minThis Range Filter Buy and Sell Indicator is designed for a 5-minute chart but can be customized for other assets by adjusting the parameters. It utilizes a range-based filtering mechanism to identify potential buy and sell opportunities based on price movement relative to a dynamic range
Enhanced Volumatic VIDYA with Renko EMA StrategyVolumatic VIDYA Enhanced
The Volumatic VIDYA (Variable Index Dynamic Average) indicator, originally created by BigBeluga, is a powerful trend-following tool that combines price and volume analysis to provide traders with a comprehensive view of market dynamics. This enhanced version, designed with user-friendliness in mind, builds upon the original by adding new features and customization options, making it even more versatile and easy to use.
Original Features (by BigBeluga)
VIDYA Core: This technique utilizes the Variable Index Dynamic Average (VIDYA) as the core smoothing technique to identify trends and filter market noise.
Volume Analysis: Plots volume levels at key market structure pivot points (lows and highs), helping traders understand the relationship between price and volume.
Delta Volume: Calculates and displays delta volume values to evaluate the balance between buy and sell pressure during each trend phase.
Trend Visualization: Clearly visualizes uptrends and downtrends with color-coded indicators, making it easy to identify market sentiment shifts.
Enhancements in This Version
1. Directional Movement Index (DMI) Integration:
Added +DI, -DI, and ADX metrics to assess trend strength and direction.
Includes a DMI Trend indicator to show whether the market is in an uptrend, downtrend, or neutral phase.
2. Volume SMAs with Color Coding:
Added Volume SMAs (9, 20, 51, 200) to analyze volume trends over different timeframes.
Color-coded SMAs (green for uptrend, red for downtrend, gray for neutral) provide quick visual cues.
3. Customizable Table:
Users can now enable or disable individual rows in the table to display only the metrics they care about.
Includes options for Buy Volume, Sell Volume, Delta Volume, Relative Volume, Volume SMAs, Trend Status, Signal, DMI Metrics, and more.
4. Improved Usability:
Added user-friendly input options for customizing the indicator's behavior and appearance.
Enhanced table layout for better readability and organization.
Why Use This Indicator?
Comprehensive Analysis: Combines price, volume, and trend strength metrics into a single tool.
Customizable: Tailor the indicator to your trading style by enabling or disabling specific features.
Visual Clarity: Color-coded trends and volume levels make it easy to interpret market conditions at a glance.
Market Sentiment: Delta volume and DMI metrics provide insights into buy-sell pressure and trend strength.
**Credits**
Original Creator: BigBeluga (for the Volumatic VIDYA indicator).
Enhancements: (for adding DMI integration, Volume SMAs, and customizable table options).
This enhanced version of the Volumatic VIDYA indicator is designed to help traders make more informed decisions by providing a deeper understanding of price, volume, and trend dynamics. Whether you're a beginner or an experienced trader, this tool offers valuable insights to improve your trading strategy.
Shadow Edge (Example)This script tracks hourly price extremes (highs/lows) and their equilibrium (midpoint), plotting them as dynamic reference lines on your chart. It helps visualize intraday support/resistance levels and potential price boundaries.
Key Features
Previous Hour Levels (Static Lines):
PH (Previous Hour High): Red line.
PL (Previous Hour Low): Green line.
P.EQ (Previous Hour Equilibrium): Blue midpoint between PH and PL.
Current Hour Levels (Dynamic/Dotted Lines):
MuEH (Current Hour High): Yellow dashed line (updates in real-time).
MuEL (Current Hour Low): Orange dashed line (updates in real-time).
Labels: Clear text labels on the right edge of the chart for easy readability.
How It Works
Hourly Tracking:
Detects new hours using the hour(time) function.
Resets high/low values at the start of each hour.
Stores the previous hour’s PH, PL, and P.EQ when a new hour begins.
Dynamic Updates:
Continuously updates MuEH and MuEL during the current hour to reflect the latest extremes.
Customization
Toggle visibility of lines via inputs:
Enable/disable PH, PL, P.EQ, MuEH, MuEL individually.
Adjustable colors and line styles (solid for previous hour, dashed for current hour).
Use Case
Intraday Traders: Identify hourly ranges, breakout/retracement opportunities, or mean-reversion setups.
Visual Reference: Quickly see where price is relative to recent hourly activity.
Technical Notes
Overlay: Plots directly on the price chart.
Efficiency: Uses var variables to preserve values between bars.
Labels: Only appear on the latest bar to avoid clutter.
This tool simplifies intraday price action analysis by combining historical and real-time hourly data into a single visual framework.
HTF Vertical LinesShow selected high time frame divider in your current time frame.
Not a magic, just a helper script myself use, if any suggestion/feature you want to add(but I won't promise I will add), don't hesitate to message me.
Daily Time MarkerThis TradingView indicator draws thin, white, dashed vertical lines on the chart at a user-defined time each day. The indicator takes into account Daylight Saving Time (DST) adjustments, ensuring the correct time is displayed throughout the year.
Key Features:
✅ Daily Vertical Markers:
Displays vertical dashed lines from Monday to Friday at the selected time.
The lines extend infinitely in both directions.
✅ Historical & Future Projection:
Shows lines 15 days into the past and 5 days into the future for better visualization of key time levels.
✅ DST Adjustment:
Automatically adjusts between summer and winter time , ensuring the correct hour is displayed.
This indicator is useful for traders who rely on specific time-based events, such as market opens or key trading sessions.
Global M2 Money Supply (USD) GrowthThe Global M2 Growth indicator evaluates the total liquid money supply, including cash, checking deposits, and assets that can be easily converted to cash. It reflects changes in global liquidity by tracking year-on-year (YoY) changes in the Global M2 money supply rather than its absolute value. This approach highlights the velocity of liquidity expansion or contraction, offering a clearer understanding of its correlation with asset performance, such as Bitcoin.
How It Works
When the Global M2 money supply expands, it reflects an increase in available liquidity. This often leads to an influx of capital into higher-yielding and riskier assets like Bitcoin, equities, and commodities. Conversely, when M2 contracts, liquidity tightens, leading to declines in the values of these assets.
An essential insight is that Bitcoin's price is not immediately affected by changes in M2. Research shows a lag of approximately 56-60 days (around two months) between liquidity changes and Bitcoin's price movements. Shifting the liquidity data forward by this period improves the correlation between Global M2 and Bitcoin performance.
How to Use
Track Global M2 YoY Change: Focus on liquidity's yearly change to identify trends. Rapid increases in liquidity often signify favorable conditions for Bitcoin and other risk assets to rise, while contractions often predict price declines or consolidation phases.
Account for the Lag Effect: Incorporate the two-month lag into your analysis to predict Bitcoin's potential moves more accurately. For instance, a recent resurgence in liquidity growth could signal a Bitcoin rally within the next two months.
Use as a Macro Indicator: Monitor liquidity trends alongside other economic indicators and asset performance metrics to build a more comprehensive investment framework.
By tracking these dynamics, traders and investors can better anticipate Bitcoin's trajectory and make informed decisions.
Wave N + KDJ + Volumi + SMC + IchimokuWave N + KDJ + Volume + SMC + Ichimoku Indicator
Overview
This script is a multi-layered technical indicator designed to provide traders with enhanced market insights by combining five key methodologies:
• Wave N Pattern (Price Action)
• KDJ Oscillator (Momentum)
• Volume Filtering (Confirmation)
• Smart Money Concepts (Order Blocks) (Institutional Activity)
• Ichimoku Cloud (Trend and Support/Resistance)
By integrating these components, the indicator identifies high-probability trading signals, early warnings of trend shifts, and institutional price zones to improve decision-making in volatile markets.
⸻
How It Works
1️⃣ Wave N Pattern (Price Action Structure)
The Wave N pattern is a classic price action formation that helps spot potential trend reversals and continuations:
• A Bullish Wave N is detected when a higher low and a higher high structure appears.
• A Bearish Wave N is detected when a lower high and a lower low structure forms.
2️⃣ KDJ Oscillator (Momentum & Trend Strength)
The KDJ Indicator is a variation of the Stochastic Oscillator that adds a third line, J, to amplify sensitivity to trend movements.
• J > 50 indicates bullish momentum.
• J < 50 indicates bearish momentum.
• The script includes an early warning signal when J crosses 50, suggesting a possible trend shift.
3️⃣ Volume Filtering (Trade Confirmation)
To avoid false signals, the script integrates volume confirmation:
• A signal is valid only if the volume is above the 20-period EMA of volume.
• This ensures that trade signals are supported by strong market participation.
4️⃣ Smart Money Concepts (Order Blocks)
Order Blocks represent areas of institutional interest, where large traders accumulate or distribute positions.
• The script detects bullish order blocks (potential support) and bearish order blocks (potential resistance).
• These areas help identify optimal entry and exit points.
5️⃣ Ichimoku Cloud (Trend & Dynamic Support/Resistance)
The Ichimoku Cloud is used to confirm trend direction:
• Baseline (Kijun-sen) acts as a key trend filter.
• Senkou Span A & B form the cloud (Kumo), indicating dynamic support/resistance.
• Buy signals require price to be above the baseline, while sell signals require price to be below the baseline.
⸻
Trading Signals & Visual Elements
✅ BUY Signal (Green Arrow)
Occurs when:
• A Bullish Wave N forms
• J > 50 (Bullish KDJ Signal)
• Volume is above EMA threshold
• Price is above the Ichimoku Baseline
❌ SELL Signal (Red Arrow)
Occurs when:
• A Bearish Wave N forms
• J < 50 (Bearish KDJ Signal)
• Volume is above EMA threshold
• Price is below the Ichimoku Baseline
⚠️ Early Warning (Trend Shift Signal)
• An early warning appears when J crosses 50, indicating a possible upcoming trend shift.
• The line color changes based on the potential move:
• Green/Blue → Possible Uptrend
• Red/Orange → Possible Downtrend
⸻
Why This Indicator is Unique?
Unlike simple trend-following indicators, this script:
• Combines Price Action, Momentum, Volume, and Institutional Order Flow for a multi-dimensional approach.
• Filters out weak signals using volume confirmation and Ichimoku.
• Provides early warnings before major trend shifts.
• Visualizes Smart Money Order Blocks, giving traders an edge in spotting institutional zones.
⸻
Best Timeframes & Markets
📊 Recommended Timeframes:
• 1H & 1D (works best on medium/long-term trends)
💹 Markets:
• Crypto, Forex, and Stocks
This indicator is designed for traders who value confluence and strong confirmation in their strategies. Whether you are a trend trader, swing trader, or institutional flow analyst, this tool can help refine your decision-making process.
🚀 Optimize your trades with Wave N + KDJ + Volume + SMC + Ichimoku! 🚀
