DS Zone IndicatorDS Zone Indicator - Advanced Supply & Demand Zone Detection
This powerful supply and demand zone indicator automatically identifies and plots high-probability trading zones using smart wick analysis and zone respect filtering. Perfect for both day traders and swing traders across any timeframe.
Key Features:
• Smart Zone Detection - Identifies potential supply and demand zones based on price action and wick analysis
• Dynamic ATR Filtering - Uses ATR (Average True Range) to adapt to market volatility
• Zone Respect Technology - Validates zones based on how price interacts with them
• Auto Zone Cleanup - Automatically removes invalid or expired zones to reduce chart clutter
• Customizable Colors - Choose between single color mode or separate bullish/bearish zone colors
Advanced Settings Include:
• ATR Period and Threshold customization
• Minimum Zone Height controls
• Zone Respect Filter with adjustable parameters
• Bounce Percentage configuration
• Zone Life Duration settings
• Comprehensive color customization options
Perfect For:
• Identifying potential reversal areas
• Finding high-probability entry and exit points
• Supporting existing trading strategies
• Both trend and range trading
• Any timeframe and market (Stocks, Forex, Crypto, Futures)
How It Works:
The indicator analyzes price action and candlestick wicks to identify potential supply and demand zones. It then tracks how price respects these zones over time, removing zones that don't meet the minimum respect criteria. This creates a clean, reliable chart that highlights only the most significant price levels.
Pro Tips:
• Use the Zone Respect Filter for stricter zone validation
• Adjust the ATR settings based on your trading timeframe
• Combine with trend analysis for better trade decisions
• Use zone touches as potential entry/exit signals
Customization:
The indicator is highly customizable with intuitive settings grouped into:
• ATR Settings
• Zone Respect Settings
• Zone Colors (Bullish/Bearish)
• Visual Preferences
Note: This indicator works best when combined with proper risk management and your existing trading strategy. Always validate signals with multiple factors before making trading decisions.
Updates & Support:
Regular updates and improvements will be made based on community feedback. Feel free to leave comments with suggestions or questions!
Happy Trading! 📈
Disclaimer: Trading involves risk. This indicator is meant to be used as one of many tools in your trading arsenal and should not be relied upon as the sole decision maker for your trades.
อินดิเคเตอร์และกลยุทธ์
Statistical Price Bands with Trend Filtering by QTX Algo SystemsStatistical Price Bands with Trend Filtering by QTX Algo Systems
Overview
This indicator generates adaptive support and resistance bands by fusing statistical analysis with real-time volatility and trend measurements. It highlights areas where prices appear overextended, providing traders with clear visual cues for potential reversals or risk management adjustments.
How It Works
Baseline Statistical Calculation:
The indicator begins by deriving a baseline price range from historical data using a statistical percentile approach. This percentile reflects the typical extremes observed over a significant period, forming the foundation for the bands.
Volatility Adjustment:
A dynamic volatility factor is then calculated by comparing the moving standard deviation of price to its moving average. This factor adjusts the baseline, ensuring that the bands reflect current market variability. The use of both a long-term dispersion measure and a short-term percentile-based volatility metric helps confirm that overall market volatility remains above a minimum threshold.
Trend Filtering:
In parallel, the indicator assesses trend direction by comparing the current price to a volume-weighted moving average (VWMA). This trend component shifts the bands in the direction of the prevailing market bias—moving the bands upward during uptrends and downward during downtrends.
Why It’s Different
Unlike traditional static support/resistance tools, this indicator integrates multiple layers of analysis—statistical extremes, real-time volatility, and trend direction—to create bands that continuously adapt to market conditions. This synthesis produces a dynamic framework that not only identifies potential overextended price areas but also provides practical stop loss levels, setting it apart from other basic band or moving average models.
How to Use
Customize the baseline statistical setting to match your trading style. Use the dynamically adjusted bands as visual cues for potential reversal zones or as guides for setting stop losses. Combine these insights with other technical tools to refine your entry and exit decisions.
Disclaimer
This indicator is for educational purposes only and is intended to support your trading strategy. It does not guarantee performance, and past results are not indicative of future outcomes. Always use proper risk management and perform your own analysis before trading.
Volatility Based SMI with Dynamic Bands by QTX Algo SystemsVolatility Based SMI with Dynamic Bands by QTX Algo Systems
Overview
This advanced oscillator redefines the classic Stochastic Momentum Index (SMI) by incorporating adaptive volatility scaling and dynamically tilting its overbought and oversold levels based on market trends. The result is a context-sensitive momentum tool that adjusts its thresholds in real time, helping traders identify potential reversals or trend continuations more effectively.
How It Works
Enhanced SMI Calculation:
The indicator starts by computing a double‐smoothed SMI. Two layers of exponential moving averages—controlled by the “Smoothing K” and “Smoothing D” inputs—are applied to both the relative price range and the overall range (difference between the highest high and lowest low) over a fixed period. This process reduces short-term noise and isolates the underlying momentum.
Adaptive Volatility Scaling:
A normalized volatility measure is derived using a fixed Bollinger Band Width Percentile (BBWP) approach. This volatility metric is used to create an adaptive adjustment factor that scales the SMI, ensuring that the oscillator’s sensitivity reflects current market conditions without being distorted by temporary extremes.
Dynamic Threshold Adjustment:
The indicator then calculates trend strength using a lookback period (set by the “Trend Lookback Period” input) that compares the current price to a volume-weighted moving average (VWMA). This trend strength is used to adjust the base overbought and oversold levels (fixed at 50 and –50) through two mechanisms:
Band Tilt Strengths:
The “Upper Band Tilt Strength” and “Lower Band Tilt Strength” inputs determine how aggressively the respective thresholds are shifted in response to the prevailing trend. In an uptrend, for example, the oversold level is raised more noticeably, while in a downtrend, the overbought level is lowered.
Opposite Band Compression:
The “Opposite Band Compression Strength” input further refines this adjustment by accelerating the contraction of the opposite band during trend reversals, enhancing the indicator’s responsiveness.
How to Use and Input Adjustments
Smoothing K & Smoothing D:
Adjust these to control the degree of smoothing in the SMI calculation. Lower values provide quicker, albeit noisier, responses, while higher values yield smoother signals.
SMI EMA Length:
This sets the sensitivity of the moving average applied to the SMI, affecting how promptly crossover signals are generated.
Trend Lookback Period:
Defines the historical window for assessing trend strength. A longer period gives a more stable trend, while a shorter period increases responsiveness.
Upper/Lower Band Tilt Strength:
These parameters determine how much the overbought and oversold levels shift in response to the market’s trend. Increasing these values results in more pronounced threshold adjustments.
Opposite Band Compression Strength:
This setting influences how quickly the opposite band compresses during trend reversals, thereby fine-tuning the dynamic nature of the oscillator’s thresholds.
What Makes It Proprietary
Traditional SMI indicators typically rely on fixed thresholds for overbought and oversold conditions. Our approach is proprietary because it seamlessly integrates adaptive volatility scaling with dynamic, trend-based threshold adjustments. This fusion produces an oscillator that is acutely sensitive to current market conditions, offering a more nuanced and context-aware view of momentum that stands apart from conventional methods.
How to Use
Monitor the oscillator for crossovers between the SMI and its EMA, which serve as potential signals for reversals or confirmations of trend continuation. Fine-tune the input parameters to match your market conditions and trading style, and use the dynamically adjusted thresholds in conjunction with other technical analysis tools to refine your entry and exit decisions.
Disclaimer
This indicator is for educational purposes only and is intended to support your trading strategy. It does not guarantee performance, and past results are not indicative of future outcomes. Always use proper risk management and perform your own analysis before trading.
EMA_Table[Alvew]This EMA Table covers 8-period, 20-period, 50-period, 100-period, and 200-period EMAs across different timeframes: 5-minute, 15-minute, 30-minute, 1-hour, 2-hour, 4-hour, daily, and weekly.
Purpose:
The main objective is to show the position of the price concerning different EMAs in various timeframes.
Column Explanation:
Upper MA:
Represents the nearest higher EMA above the current price.
Example: If the nearest EMA above the price in the 5-minute timeframe is the 8-period EMA at 22,458, it will be shown as "08—22458" (where "08" is the EMA period).
If the price is above all EMAs, it will display "Sky" (indicating a strong bullish position).
Lower MA:
Represents the nearest lower EMA below the current price.
Example: If the nearest EMA below the price is the 200-period EMA, it will be shown as "200—22458".
If the price is below all EMAs, it will display "ABY" (short for "Abysm," indicating a strong bearish position).
BreakPoint:
Shows the price level required to break above all EMAs (breakout) or drop below all EMAs (breakdown) in each timeframe.
The right-side number represents the breakout level, while the left-side number represents the breakdown level.
Example: "925--2679" means the price must rise 925 points for a breakout or fall 2679 points for a breakdown.
Support & SuDist:
Displays the nearest support EMA and the distance between the price and support EMA.
If the price is below all EMAs, it will show 0.
Resistance & ReDist:
Displays the nearest resistance EMA and the distance between the price and resistance EMA.
If the price is above all EMAs, it will show 0.
Bottom Row:
The final row aggregates the nearest resistance, MA value, and distance from MA, helping traders identify key levels at a glance.
This 8-column, 10-row table provides a clear visual representation of EMA positioning across multiple timeframes, making it easier to analyze support, resistance, and potential breakouts or breakdowns.
How to Use This Indicator
1. Trend Confirmation:
o If price is above the 50 EMA on most timeframes (green background), it indicates a bullish trend.
o If price is below the 50 EMA on most timeframes (red background), it indicates a bearish trend.
2. Finding Support & Resistance Levels:
o Use the Support & Resistance columns to identify the closest EMA-based levels.
o Lower SuDist/ReDist values indicate stronger nearby support/resistance.
3. Identifying Breakout & Breakdown Levels:
o Watch the BreakPoint column for key price levels needed to confirm a breakout or breakdown.
4. Multi-Timeframe Analysis:
o Cross-check the support/resistance values across different timeframes to confirm strong levels.
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Conclusion
The EMA Table Indicator simplifies multi-timeframe EMA analysis and helps traders quickly identify support, resistance, and breakout levels. By visually structuring EMA relationships, traders can make better-informed trading decisions with clear reference points.
This indicator is ideal for intraday traders, swing traders, and position traders looking to integrate EMA-based strategies with a structured approach.
CAM| Bar volatility and statsCAPRICORN ASSETS MANAGEMENT
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CAM | Bar Volatility and Stats Indicator
The CAM | Bar Volatility and Stats indicator is designed to track historical price movements, analyzing bar volatility and key statistical trends in financial instruments. By evaluating past bars, it provides insights into market dynamics, helping traders assess volatility, trend strength, and momentum patterns.
Key Features & Functionality:
✅ Volatility Analysis – Measures historical volatility by calculating the average price range per bar and displaying it in pips.
✅ Bull & Bear Bar Statistics – Tracks the number of bullish and bearish bars within a given lookback period, including their respective percentages.
✅ Consecutive Bar Sequences – Identifies and records the longest streaks of consecutive bullish or bearish bars, providing insights into market trends.
✅ Average Volatility by Trend – Computes separate volatility values for bullish and bearish bars, helping traders understand trend-based price behavior.
✅ Real-Time Labeling – Displays a live statistics summary directly on the chart, updating dynamically with each new bar.
Benefits for Traders:
📊 Enhanced Market Insight – Quickly assess market conditions, determining whether volatility is increasing or decreasing.
📈 Trend Strength Identification – Identify strong bullish or bearish sequences to improve trade timing and strategy development.
⏳ Better Risk Management – Use historical volatility metrics to fine-tune stop-loss and take-profit levels.
🛠 Customizable Analysis – Adjustable lookback period and display options allow traders to focus on the data that matters most.
This indicator is an essential tool for traders looking to refine their decision-making process by leveraging volatility-based statistics. Whether trading Forex, stocks, or commodities, it provides valuable insights into price action trends and market conditions.
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12AM & 12PM Markers Nigeria Time (500 bars)Full Description:
This TradingView script is designed for traders who want clear visual markers for 12 AM and 12 PM based on Nigeria Time (WAT, UTC+1).
Features:
✔️ Marks 12 AM (midnight) with a black dotted line for daily cycle tracking.
✔️ Marks 12 PM (noon) with a red dotted line for mid-day liquidity shifts.
✔️ Auto-adjusts to Nigeria Time (UTC+1) regardless of broker time.
✔️ Keeps lines on the chart for a set number of bars before auto-cleaning.
Use Cases:
✅ Helps traders track daily open-close cycles.
✅ Useful for analyzing liquidity grabs and time-based market structure shifts.
✅ Ideal for traders using time-based models in forex, stocks, and crypto.
SigmaTrend Prime | QuantEdgeBIntroducing SigmaTrend Prime (STP) by QuantEdgeB
🛠️ Overview
SigmaTrend Prime (STP) is an advanced trend-following indicator that combines double exponential moving averages (DEMA) with a volatility-adjusted SuperTrend framework.
Unlike traditional ATR-based SuperTrends, STP dynamically adjusts trend thresholds using a standard deviation filter derived from price percentiles. This ensures that the trend signals remain highly adaptive, filtering out short-term noise while maintaining robustness across different market conditions.
By leveraging a DEMA core, STP minimizes lag while preserving strong trend identification, making it a powerful tool for traders looking to capture directional moves with enhanced precision.
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✨ Key Features
🔹 DEMA-Driven Trend Filtering
SigmaTrend Prime minimizes lag and enhances responsiveness using a double exponential moving average (DEMA) core.
🔹 Volatility-Adaptive SuperTrend
STP applies a percentile-based price smoothing technique, ensuring that the trend filter dynamically adjusts to market conditions.
🔹 Standard Deviation (SD) Filtering for Noise Reduction
By applying a rolling standard deviation derived from smoothed price action, STP eliminates false breakouts and enhances trend clarity.
🔹 Customizable Visual & Signal Settings
Includes multiple color modes, backtest metrics, and signal labels, making it highly adaptable for different trading styles.
📊 How It Works
1️⃣ DEMA-Based Trend Smoothing
SigmaTrend Prime uses DEMA (Double Exponential Moving Average) as its trend foundation, offering a smoother and more responsive trend structure:
🔹 Why DEMA?
✔ Minimizes lag compared to standard EMA.
✔ Maintains trend sensitivity while reducing market noise.
✔ Stronger confirmation of directional moves in volatile environments.
2️⃣ Adaptive Volatility Filtering with Standard Deviation (SD)
Unlike conventional SuperTrend indicators that rely on ATR for trend filtering, SigmaTrend Prime applies an SD-based smoothing mechanism.
📌 How it Works?
✔ Price Percentile Calculation → Uses percentile price ranking for better trend representation.
✔ Rolling Standard Deviation Calculation → Applies a volatility-adjusted filter to prevent false signals.
✔ Dynamic Trend Band Expansion → Factors (Factor1 & Factor2) multipliers to adjust trend sensitivity based on current price behavior.
🔹 Why SD-Based Filtering?
✔ More adaptive to different volatility regimes.
✔ Improves trend accuracy in both trending and ranging markets.
✔ Avoids excessive whipsaws common with ATR-based models.
3️⃣ Signal Generation & Trend Confirmation
SigmaTrend Prime detects trend shifts based on SD-filtered breakouts:
✅ Long Signal → Triggered when price crosses above the SuperTrend upper band.
❌ Short Signal → Triggered when price crosses below the SuperTrend lower band.
📌 Additional Features:
✔ Adaptive Signal Labels → Shows "Long" or "Short" trade signals dynamically.
✔ Trend-Following Mode → Stays in position until a confirmed reversal signal occurs.
✔ Customizable Sensitivity → Traders can adjust Factor1 & Factor2 multipliers and other settings to refine signal responsiveness.
👥 Who Should Use It?
✅ Trend Traders & Momentum Followers → Identify strong directional trends with greater accuracy.
✅ Swing & Position Traders → Gain precise trend confirmation signals for optimized entries/exits.
✅ Volatility-Aware Traders → Benefit from adaptive trend filtering based on real-time market conditions.
✅ Systematic & Quant Traders → Implement STP within automated trading systems for improved trend detection.
⚙️ Customization & Default Settings
🔧 Key Custom Inputs:
• DEMA Source (Default: HLC3) → Defines the price input for DEMA calculations.
• DEMA Length (Default: 30) → Controls the smoothing period for trend calculation.
• Percentile SD Length (Default: 10) → Determines historical percentile ranking for volatility
assessment.
• Volatility SD Length (Default: 30) → Defines rolling SD length for dynamic filtering.
• Trend Sensitivity Factors:
🔹 Factor1 (Default: 25) → Adjusts lower SD band responsiveness.
🔹 Factor2 (Default: 40) → Controls upper SD band expansion.
• Visual Customizations → Multiple color modes, backtest metrics, and trend labels available.
🚀 By default, STP is optimized for adaptive trend-following while remaining flexible for customization.
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📌 How to Use SigmaTrend Prime in Trading
1️⃣ Trend-Following Strategy (Momentum Confirmation)
✔ Enter long positions when STP confirms a bullish trend shift above its upper trend band.
✔ Enter short positions when STP confirms a bearish trend shift below its lower trend band.
✔ Stay in trades as long as STP maintains trend direction, filtering out false reversals.
2️⃣ Volatility-Adaptive Strategy (Dynamic Trend Adjustments)
✔ Use Factor1 & Factor2 adjustments to fine-tune STP’s sensitivity to price movements.
✔ Increase Factor1 for slower trend shifts and reduce Factor2 for more aggressive trend detection.
📌 Why?
• In high-volatility conditions, adjust trend bands wider to prevent whipsaws.
• In low-volatility conditions, tighten trend bands for faster signal responsiveness.
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📊 Backtest Mode
SigmaTrend Prime includes an optional backtest table, enabling traders to assess its historical effectiveness before applying it in live trading conditions.
🔹 Backtest Metrics Displayed:
• Equity Max Drawdown → Largest historical loss from peak equity.
• Profit Factor → Ratio of total profits to total losses, measuring system efficiency.
• Sharpe Ratio → Assesses risk-adjusted return performance.
• Sortino Ratio → Focuses on downside risk-adjusted returns.
• Omega Ratio → Evaluates return consistency & performance asymmetry.
• Half Kelly → Optimal position sizing based on risk/reward analysis.
• Total Trades & Win Rate → Assess STP’s historical success rate.
📌 Disclaimer:
Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading.
🚀 Why This Matters?
✅ Strategy Validation → Gain insight into historical trend accuracy.
✅ Customization Insights → See how different STP settings impact performance.
✅ Risk Awareness → Understand potential drawdowns before deploying capital.
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📌 Conclusion
SigmaTrend Prime (STP) is an advanced trend-following solution that merges DEMA-based trend smoothing with standard deviation-adaptive filtering. By utilizing percentile-based price smoothing, STP enhances trend accuracy while ensuring that signals remain adaptive to different market environments.
🔹 Key Takeaways:
1️⃣ Lag-Minimized Trend Filtering – DEMA enhances trend responsiveness while reducing noise.
2️⃣ SD-Based Volatility Adaptation – More reliable than ATR-based trend models, reducing false breakouts.
3️⃣ Customizable & Dynamic – Easily fine-tune sensitivity settings for various market conditions.
📌 Master the market with precision and confidence | QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
SPY Scalping StrategySPY Scalping Strategy Script – Overview
This Pine Script is designed for scalping SPY (S&P 500 ETF) by identifying short-term trading opportunities based on Exponential Moving Averages (EMAs), VWAP, ATR-based stop losses, and buy/sell signals.
Moving Averages for Trend Confirmation
9-period EMA (short-term trend)
21-period EMA (long-term trend)
VWAP (Volume Weighted Average Price) for institutional price levels
How it Works:
A bullish crossover (9 EMA crossing above 21 EMA) generates a buy signal 📈
A bearish crossunder (9 EMA crossing below 21 EMA) generates a sell signal 📉
Buy & Sell Signals
Buy Signal:
When the 9 EMA crosses above the 21 EMA (bullish trend)
Sell Signal:
When the 9 EMA crosses below the 21 EMA (bearish trend)
These signals are visually marked on the chart using blue upward arrows (BUY) and red downward arrows (SELL).
ATR-Based Stop Loss & Take Profit
Stop Loss: Uses ATR (Average True Range) to set a dynamic risk level.
Alternative: A fixed percentage-based stop loss (0.5% default) if ATR is disabled.
Take Profit:
Automatically calculated as 1.5x ATR above the entry price.
This ensures proper risk management while scalping.
How to Use This Strategy
Add the script to your TradingView chart.
Wait for a Buy or Sell Signal based on EMA crossovers.
Confirm with VWAP:
Buy when price is above VWAP (strong bullish momentum)
Sell when price is below VWAP (strong bearish momentum)
Risk Management:
Use ATR-based Stop Loss to avoid large drawdowns
Adjust the Take Profit multiplier based on market Conditions
MVRV Z-Score | Vistula LabsWhat is MVRV?
MVRV (Market Value to Realized Value) is a fundamental on-chain metric used to assess the relative valuation of cryptocurrencies, particularly Bitcoin and Ethereum. This ratio compares the current market value (market capitalization) to the realized value (an approximation of the average price at which all coins were last moved).
Market Value : The total market capitalization of the cryptocurrency (current price × circulating supply)
Realized Value : The sum of the market value of all coins valued at the price they last moved on-chain
When MVRV is high, it suggests the market may be overvalued relative to the price investors paid for their coins, potentially indicating a market top. Conversely, a low MVRV ratio may signal undervaluation and a potential market bottom.
How MVRV is Calculated for BTC & ETH
The MVRV ratio for both Bitcoin and Ethereum is sourced directly from IntoTheBlock's data feed in this indicator:
For Bitcoin: INTOTHEBLOCK:BTC_MVRV
For Ethereum: INTOTHEBLOCK:ETH_MVRV
This indicator transforms the raw MVRV data into a Z-Score, which measures how many standard deviations the current MVRV value is from its historical mean over a specified period. The Z-Score calculation uses a moving average (customizable between SMA, EMA, DEMA, RMA, WMA, or VWMA) and standard deviation over the specified lookback period.
Z-Score formula: (Current MVRV - Moving Average of MVRV) / Standard Deviation of MVRV
How This Indicator Can Be Used
1. Trend Following
The MVRV Z-Score indicator implements a trend-following system with customizable thresholds:
Long signals are generated when the Z-Score crosses above the Long Threshold (default: 0.56)
Short signals are generated when the Z-Score crosses below the Short Threshold (default: -0.28)
These signals are visually represented by:
Green up-triangles for long entries
Red down-triangles for short entries
Color-coded candles and Z-Score plot (teal for long positions, magenta for short positions)
The trend signals help identify potential momentum shifts in the market based on historical MVRV behavior.
2. Overbought/Oversold Conditions
The indicator identifies extreme market conditions using two additional thresholds:
Overbought threshold (default: 3.0): When the Z-Score exceeds this value, the market may be significantly overvalued, suggesting potential selling pressure ahead. These zones are highlighted with a light magenta background.
Oversold threshold (default: -2.0): When the Z-Score falls below this value, the market may be significantly undervalued, suggesting potential buying opportunities. These zones are highlighted with a light teal background.
These extreme readings have historically coincided with major market tops and bottoms, making them valuable for medium to long-term position management.
Customization Options
The indicator offers several customization options:
Cryptocurrency source selection (BTC or ETH)
Moving average type and length for the MVRV calculation
Z-Score lookback period
Adjustable thresholds for long/short signals and overbought/oversold conditions
These parameters allow traders to fine-tune the indicator to their specific trading strategy and risk tolerance.
Alerts
The indicator includes four alert conditions:
MVRV Long Opportunity
MVRV Short Opportunity
MVRV Overbought Condition
MVRV Oversold Condition
These alerts can help traders stay informed of potential trading opportunities without constant chart monitoring.
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Broad Market for Crypto**Broad Market for Crypto** indicator provides a comparative analysis of the price deviation of multiple major cryptocurrencies relative to their average closing price over a customizable lookback period. This tool helps traders identify market trends and spot relative strength or weakness among different assets.
### **How It Works:**
- The indicator calculates the percentage deviation of each cryptocurrency’s current price from its simple moving average (SMA) over the defined **lookback period (in hours).**
- The **default lookback period is 24 hours**, but it can be adjusted according to the trader's preference.
- It tracks major crypto assets, including **BTC, ETH, BNB, SOL, XRP, ADA, AVAX, LINK, DOGE, and TRX**, alongside the currently selected instrument.
- Each cryptocurrency’s deviation is plotted on a separate panel, allowing for quick visual comparison.
- Positive deviation indicates that the price is trading above its average, signaling potential bullish momentum.
- Negative deviation suggests the price is below its average, possibly indicating bearish conditions.
This indicator is particularly useful for crypto traders who want to gauge the broader market’s strength and detect divergence patterns across multiple assets.
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**Broad Market for Crypto - Описание индикатора**
Индикатор **Broad Market for Crypto** предоставляет сравнительный анализ отклонения цены различных крупных криптовалют относительно их среднего значения за настраиваемый период. Этот инструмент помогает трейдерам выявлять рыночные тренды и определять относительную силу или слабость активов.
### **Как это работает:**
- Индикатор рассчитывает **процентное отклонение** текущей цены каждой криптовалюты от её **простого скользящего среднего (SMA)** за заданный **период анализа (в часах)**.
- **Период анализа по умолчанию — 24 часа**, но его можно изменять в зависимости от предпочтений трейдера.
- В индикаторе отслеживаются основные криптоактивы: **BTC, ETH, BNB, SOL, XRP, ADA, AVAX, LINK, DOGE и TRX**, а также текущий выбранный инструмент.
- Отклонение каждой криптовалюты отображается на отдельной панели, что позволяет быстро проводить визуальное сравнение.
- **Положительное отклонение** означает, что цена торгуется выше своего среднего значения, что может сигнализировать о **бычьем тренде**.
- **Отрицательное отклонение** указывает, что цена ниже своего среднего значения, что может свидетельствовать о **медвежьей тенденции**.
Этот индикатор особенно полезен для криптотрейдеров, желающих оценить силу всего рынка и выявлять расхождения между различными активами.
cd_mtg_CxThis indicator is designed to show discount / premium zones and price gaps (fvg) on the screen within a rule.
Overview:
As it is known, the price continues its movement with swings and uses some zones to continue or reverse its movement. Commonly used of these zones are named by different traders such as supply / demand, order block, suport/ resistance zone. And again, many traders prefer to be involved in the entry when the price determined with the help of market structure reaches the premium / discount zones.
Expectation from the indicator and how it works:
Identify areas where the price is likely to react.
Zones to be determined for this purpose:
1- Discount / premium zones
2- Mitigation zones with price retesting
3- Price gaps (FVG's)
How is it determined?
1- Tracks the price in the higher timeframe it is alignment with, when the price violates the previous candle in the new candle (high/low), the previous candle's zones between top/bottom - middle levels.
high - middle => premium zone
low - middle => discount zone
and displays it on the screen.
2- Mitigation zones: When the price retests the discount/premium zones, those zones appear on the screen by extending to the last bar and are named as mitigation zones in the indicator.
3- Price gaps (FVG's): It is shown on the screen with known rules and higher time frame option.
Zones where the price does not respect are deleted from the display.
Settings:
- HTF for mitigation zones : Alignment high time frame selection
- HTF for FVG zones : Alignment high time frame selection
- Show HTF boxes : Show / hide
- Show Mitigation zones : Show / hide
- Show Discount/Premium zones: Show / hide
- Show FVG zones : Show / hide
And colors….
Screenshots and example :
The 15m chart is open on the screen and I select the alignment time zone H4. I select the higher time zone H1 in FVGs.
Screenshot with Show HTF boxes and Show FVG zones selected:
With show discount / premium zones selected :
With show mitigation zones selected :
Final Word : When the price comes to our zone, we take action together with other confirmations.
Our expectation from the zones is to send the price back to the region it came from.
If it is not successful, we should plan a reverse transaction.
Cheerful trades...
-- Türkçe Açıklama
Bu indikatör, bir kural dahilinde ucuzluk / pahalılık bölgelerini ve fiyat boşluklarını (fvg) ekranda göstermek ve traderlara en uygun yerde işlem fırsatı sunmak üzere tasarlanmıştır.
Genel Bakış :
Bilindiği gibi fiyat hareketine salınımlarla devam eder ve hareketine devam etmek ya da tersine dönmek için bazı bölgeleri kullanır. Bu bölgelerin yaygın şekilde kullanılanları supply / demand, order block , support /resistance zone gibi farklı ekollerce adlandırılmıştır. Ve yine birçok trader market yapısı yardımla belirlediği fiyatın ucuzluk / pahalılık bölgelerine gelmesiyle işleme dahil olmayı tercih eder.
İndikatörden beklenti ve nasıl çalışır:
Beklenti; Fiyatın tepki alması muhtemel bölgeleri belirlemesidir.
Bu amaçla belirleyeceği bölgeler:
1- Ucuzluk / pahalılık bölgeleri
2- Fiyatın tekrar test etmesiyle “mitigasyon bölgeleri/mitige”
3- Fiyat boşlukları (FVG ler)
Nasıl belirler ?
1- Fiyatı uyumlu olduğu üst zaman diliminde takip eder, fiyat yeni mumda bir önceki mumu ihlal ettiğinde (high/low), önceki mumun tepe/dip - orta seviyeleri arasında kalan bölgeleri
high - middle => premium zone
low - middle => discount zone
olarak belirler ve ekranda gösterir.
2- Mitigasyon bölgesi: Fiyat ucuzluk/ pahalılık bölgeleri yeniden test ettiğinde, o bölgeler son bara uzatılarak ekranda görünür ve indikatörde ismi “mitigation zone” olarak geçer.
3- Fiyat boşlukları (FVG) : Bilinen kurallarla ve üst zaman dilimi seçeneğiyle ekranda gösterilir.
Fiyatın saygı göstermediği bölgeler ekrandan silinir.
Ayarlar:
- HTF for mitigation zones : Uyumlu üst zaman dilimi seçimi
- HTF for FVG zones : Uyumlu üst zaman dilimi seçimi
Gösterim ve renk seçenekleri.
Ekran görüntüleri ve örnek : (İngilizce kısımda)
Son söz : Fiyat bölgemize geldiğinde diğer konfirmelerle birlikte işlem alıyoruz.
Bölgelerden beklentimiz fiyatı geldiği bölgeye tekrar göndermesidir.
Eğer başarılı olamazsa tersi yönde işlem planlamalıyız.
Neşeli tradeler...
EMA200 Trend Overlay📈 Follow the Main Trend with Ease!
This indicator visualizes market structure based on the 200 EMA and highlights trend zones with color coding.
It helps you quickly determine whether the market is in a bullish or bearish trend without constantly analyzing lines and indicators.
🔍 Features:
✅ Dynamic Trend Area – An overlay that visualizes the current market phase
✅ 200 EMA as a Basis – Filters out short-term noise & shows the main trend
✅ Color-Coded Trend Zones – Green for bullish trends, red for bearish trends
✅ Automatic Adaptation – Adjusts dynamically to market behavior in real-time
✅ Ideal for Scalping, Day Trading & Swing Trading
💡 Pro Tips for Usage:
🔹 Trade with the trend – Longs only in the green zone, shorts only in the red zone
🔹 Use the trend as support/resistance – Pullbacks to the overlay as entry opportunities
🔹 Combine with other indicators – Perfect with market structure, BOS/CHoCH & order blocks
ATR(5) Pending Orders StrategyThis TradingView Pine Script automates pending trade orders using the 5-period ATR (Average True Range) and a 20% ATR buffer to capture breakout trades.
📊 How it Works:
Buy Stop Order: Placed at Current Price + (0.2 × ATR(5))
Sell Stop Order: Placed at Current Price - (0.2 × ATR(5))
Stop-Loss (SL): 1x ATR(5) from the entry price
Take-Profit (TP): 2x ATR(5) from the entry price
🔹 What the script plots:
✅ Buy Stop Level (Blue Circle)
✅ Sell Stop Level (Red Circle)
✅ Stop-Loss Levels (Orange Dashed Line)
✅ Take-Profit Levels (Green Dashed Line)
✅ Live ATR(5) value label on chart
🔥 Ideal for breakout traders who use ATR to set pending orders and manage risk!
How to Use This Strategy:
1️⃣ Add the script to TradingView and apply it to your chart.
2️⃣ If price approaches the Buy Stop (Blue) level, prepare for a breakout up.
3️⃣ If price approaches the Sell Stop (Red) level, prepare for a breakdown.
4️⃣ Place Stop-Loss (SL) and Take-Profit (TP) based on ATR(5) levels.
5️⃣ Once price reaches the stop order, the trade executes automatically!
📌 Best Used On:
✔ Forex
✔ Crypto
✔ Stocks
✔ Commodities
✅ Works best on trending markets!
❌ Avoid using during low volatility (ATR too small).
Trend Analysis IndicatorTrend Analysis Indicator
The **Trend Analysis Indicator** is a comprehensive tool designed to help traders identify and analyze market trends effectively. By combining several key indicators, this tool provides a clear visual representation of trend direction and strength, enabling traders to make informed decisions.
Key Features:
1. **Moving Averages (SMA and EMA)**:
- **Simple Moving Average (SMA)**: Calculated over a specified period (e.g., 50 days), the SMA smooths price data to highlight the average price trend. It helps identify the overall direction of the market.
- **Exponential Moving Average (EMA)**: More responsive to recent price changes, the EMA is ideal for detecting shorter-term trends and potential reversals.
2. **Average Directional Index (ADX)**:
- The ADX measures the strength of a trend, regardless of direction. Values above 25 indicate a strong trend, while values below 25 suggest a weak or non-existent trend. This helps traders assess the reliability of the current trend.
3. **Directional Movement Index (DX)**:
- Derived from the Plus (+DI) and Minus (-DI) Directional Indicators, the DX assesses the directional strength of price movements. It provides insights into whether the market is trending upwards or downwards.
4. **Trend Highlights**:
- **Up Trend**: When the EMA is above the SMA and the ADX is above the threshold, the indicator highlights an upward trend with green "UP" labels.
- **Down Trend**: Conversely, when the EMA is below the SMA and the ADX is above the threshold, the indicator highlights a downward trend with red "DOWN" labels.
5. **Visual Representation**:
- The indicator plots the SMA and EMA as lines on the chart, allowing traders to visually assess the trend.
- The ADX is displayed with a threshold line, helping traders quickly gauge trend strength.
- Trend highlights are clearly marked with labels, making it easy to spot potential entry and exit points.
How to Use:
- **Trend Identification**: Use the SMA and EMA to identify the overall trend direction. Look for crossovers between the EMA and SMA as potential trend reversal signals.
- **Trend Strength**: Monitor the ADX to determine the strength of the current trend. Strong trends (ADX > 25) are more reliable for trading.
- **Trading Signals**: Utilize the trend highlights to identify potential buy (up trend) or sell (down trend) opportunities.
The **Trend Analysis Indicator** is a powerful tool for traders seeking to capitalize on market trends. By providing clear, actionable insights, it helps traders make informed decisions and improve their trading strategies.
COT Data📊 COT (Commitments of Traders) – Understand Market Structures Better!
This indicator displays the net positions of key market participants from the COT report directly in your TradingView chart.
The data helps you analyze the positioning of Smart Money, Retail Traders, and Commercials, allowing you to make better trading decisions.
🔍 Features:
✅ COT Data Directly in the Chart – Instantly see how major market players are positioned
✅ Smart Money vs. Retail vs. Commercials – Understand how different market groups operate
✅ Color-Coded Visualization – Green (Smart Money), Blue (Retail), Orange (Commercials)
✅ Dynamic Visualization – Track changes in net positions over time
✅ Automatic Updates – Weekly COT data always up to date
📈 Why Is COT Important?
The COT report reveals how institutional traders, hedgers, and speculators are positioning themselves in the market.
While retail traders are often on the wrong side, analyzing Smart Money movements provides valuable insights into potential trend reversals.
🔹 Smart Money (Green) – Institutional traders & hedge funds with long-term strategies
🔹 Retail Traders (Blue) – Small traders who often trade in the wrong direction
🔹 Commercials (Orange) – Businesses that hedge their market exposure
Auto Golden Zone✨ Auto Fibonacci Retracement!
The "Golden Zone" is one of the most crucial areas in technical analysis.
With this indicator, the key Fibonacci retracement zone (61.8% - 78.6%) is automatically highlighted on your chart – dynamically & in real-time!
🔎 Features & Benefits:
✅ Automatic Fibonacci Detection – The Golden Zone is calculated for every timeframe (TF)
✅ Real-Time Adjustment – Adapts dynamically to new market movements
✅ No Manual Input Needed – The indicator automatically detects highs & lows
✅ Visually Optimized – Clear color coding for quick zone identification
✅ Universally Applicable – Works for all assets & markets (Forex, Crypto, Indices, Stocks)
📊 How Does It Work?
🔹 The indicator continuously calculates the Fibonacci retracement of the current market range
🔹 The "Golden Zone" (61.8% - 78.6%) is automatically marked
🔹 Traders use this zone to identify potential reversal points & entry opportunities
CPR with Market SessionsCPR with Market Sessions
This is a Central Pivot Range (CPR) indicator based on "Secrets of a Pivot Boss" by Franklin Ochoa. All calculations are based on that.
Additionally I have added a little table to show daily/weekly/monthly pivots of the current symbol. Table can flick between current pivot or future pivot (to scan what pivot range will be tomorrow, next week or next month).
Also as an extra market sessions are added to be shown at the top of the chart - Asia, London, New York. And there is an overlap shown between London and New York.
HH/LL & BoS/CHoCH📈 Structural Analysis for Precise Market Movements!
Keep track of market structure and fractal points in real-time!
This indicator automatically detects Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL), as well as Break of Structure (BOS) and Change of Character (CHoCH).
It helps you identify key market turning points and enables detailed trend analysis.
🔎 Features & Benefits:
✅ Williams Fractals – Automatic detection of structural highs & lows
✅ Market Structure Analysis – Identifies BOS & CHoCH for trend reversal signals
✅ Color-Coded Visualization – Bearish structures in red, bullish in blue
✅ Live Trend Assessment – Displays current and historical market movements
✅ Ideal for Smart Money Concepts (SMC) – Supports order block trading and liquidity concepts
💡 Pro Tips for Usage:
🔹 Trade with the trend – Longs only in the green zone, shorts only in the red zone
🔹 Use the trend as support/resistance – Pullbacks to the overlay as entry opportunities
🔹 Combine with other indicators for enhanced confirmation
⚠️ Important Note:
Fractals may change during formation until the structure is confirmed.
Use this indicator in combination with other analysis tools for more precise signals!
