MTF Sqz by The CrazyChrisCC – MTF Sqz/EMA
I create this script to easily be able to see the EMA and the Squeeze on multiple time frame at the same time and to easily create alert without going to each time frame to activate them.
Here how it work :
TF/EMA :
This section show all 13 different time frame with a variable background color. The background color refer to the EMA 8 , 21 and 50. If all EMA are stack up ( ema 8 above ema 21 and ema 21 above ema 50) the background will be Green. If the EMA are stack down ( ema 8 below ema 21 and ema 21 below ema 50) the background will be Red. If the EMA are mix (no direction) the background will be Yellow.
Sqz :
1. This section show the squeeze for each time frame
- Green background = no squeeze
- Gray background = low squeeze
- Red background = medium squeeze
- Orange background = high squeeze
2. This section also show A+Up or A+Down :
- A+Up = EMA stack UP + medium or high squeeze + momentum increase
- A+Down = EMA stack Down + medium or high squeeze + momentum decrease
Buy Zone :
- Bz (green background) = Price between EMA 8 and EMA 21 + EMA stack Up + Medium or High squeeze
- Sz (red background) = Pirce between EMA 21 and EMA 8 + EMA stack Down + Medium or High squeeze
Best part of this indicator are the Alert !!! : They will advert when the price action is in the good spot for long or short depending of what kind of alert you set. (These alert are for information only, you choose by yourself if you want to go long or short or do nothing!)
I personally only used this indicator on the Bullish side ( I’m more of a bullish trader than a bearish trader) but I put different type of alert for all kind of trader.
First you need to go on the setting of this indicator to set the king of alert you want. By default it will activate alert for the Bullish ‘A+ Up + Bz’ condition ( I remove the 1 min , 3 min, daily, weekly and monthly alert to not receive too much alert)
Also before I set the alert I habitually choose a chart time frame of 30 min or around. The reason is if I choose a time frame to short I will received too much alert and if I choose a time frame too long I will not received enough alert but everyone each preference, you have the choose the best time frame that fit your kind of trading
To activate alert, go to the 3 dots (… , more) on the indicator title than chose the first option ( add alert on cc – MTF sqz) than click ‘Create’. From now every time frame that was already select in the setting of this indicator will be monitor and give you an alert when the conditions are met.
I also add some information the TICK indicator, the daily ATR and the Market cap for information purpose only.
Good trading to all
Feel free to comment or add request to this indicator, I try my best to respond to everyone
볼래틸리티
Dynamic Weighted Price Flow [QuantAlgo]Experience a brand new way of analyzing price movement with Dynamic Weighted Price Flow , an advanced technical tool that utilizes the uniqueness of weighted price and dynamic momentum analysis to evaluate trends and deliver high-probability signals. Whether you're a long-term investor seeking major trend confirmation or an active trader looking for precise entries and exits, this indicator's sophisticated and innovative approach to price flow analysis offers invaluable market insights you can only find at QuantAlgo !
🟢 Core Architecture
The Dynamic Weighted Price Flow's foundation rests on its innovative weighted price calculation and momentum-based trend scoring system. By implementing a unique price weighting algorithm alongside Hull Moving Average smoothing, each market move is evaluated within a dynamic context while maintaining exceptional responsiveness to price action. This refined approach helps identify genuine trend transitions while filtering out market noise across multiple timeframes and instruments.
🟢 Technical Foundation
Three key components of this indicator are:
Weighted Price Analysis: Utilizes a sophisticated weighting system that prioritizes recent price action
Momentum Range Processing: A comprehensive scoring system that evaluates price momentum across multiple periods
Dynamic Trend State Management: A normalized system that tracks and validates trend transitions
🟢 Practical Usage Tips
Here's how to maximize your use of the Dynamic Weighted Price Flow :
1/ Setup:
Add the indicator to your favorites ⭐️
Start with the default baseline period for balanced analysis
Use the recommended momentum range for optimal signal generation
Keep signal markers enabled for clear trend transitions
Customize accent colors to match your preferences
Enable dynamic price bars for complete visual feedback
2/ Reading Signals:
Monitor for triangle markers indicating trend transitions
Watch the main trend line color for direction confirmation
Observe the gradient fills for trend strength visualization
Use the built-in alert system to catch potential setups
🟢 Pro Tips
Adjust Baseline Period based on your trading style:
→ Lower values (1-5) for more responsive signals
→ Higher values (5-10) for more stable trend identification
Fine-tune Momentum Range based on market conditions:
→ Lower values (20-35) for shorter-term signals
→ Higher values (35-50) for longer-term trend following
Optimize Visual Settings for your strategy:
→ Enable signal markers for clear entry/exit points
→ Use dynamic price bars for enhanced trend visualization
Combine with:
→ Volume indicators for trade confirmation
→ Support/resistance levels for entry refinement
→ Multiple timeframe analysis for strategic context
Johnny's Volatility-Driven Trend Identifier w/ Reversal SignalsJohnny's Volatility-Driven Trend Identifier w/ Reversal Signals is designed to identify high-probability trend shifts and reversals by incorporating volatility, momentum, and impulse-based filtering. It is specifically built for traders who want to capture strong trend movements while minimizing false signals caused by low volatility noise.
By leveraging Rate of Change (ROC), Relative Strength Index (RSI), and Average True Range (ATR)-based volatility detection, the indicator dynamically adapts to market conditions. It highlights breakout trends, reversals, and early signs of momentum shifts using strategically placed labels and color-coded trend visualization.
Inspiration taken from Top G indicator .
What This Indicator Does
The Volatility-Driven Trend Identifier works by:
Measuring Market Extremes & Momentum:
Uses ROC normalization with standard deviation to identify impulse moves in price action.
Implements RSI filtering to determine overbought/oversold conditions that validate trend strength.
Utilizes ATR-based volatility tracking to ensure signals only appear when meaningful market movements are occurring.
Identifying Key Trend Events:
Power Peak (🔥): Marks a confirmed strong downtrend, ideal for shorting opportunities.
Surge (🚀): Indicates a confirmed strong uptrend, signaling a potential long entry.
Soft Surge (↗): Highlights a mild bullish reentry or early uptrend formation.
Soft Peak (↘): Shows a mild bearish reentry or early downtrend formation.
Providing Adaptive Filtering for Reliable Signals:
Filters out weak trends with a volatility check, ensuring signals appear only in strong market conditions.
Implements multi-level confirmation by combining trend strength metrics, preventing false breakouts.
Uses gradient-based visualization to color-code market sentiment for quick interpretation.
What This Indicator Signals
Breakouts & Impulse Moves: 🚀🔥
The Surge (🚀) and Power Peak (🔥) labels indicate confirmed momentum breakouts, where the trend has been validated by a combination of ROC impulse, RSI confirmation, and ATR volatility filtering.
These signals suggest that the market is entering a strong trend, and traders can align their entries accordingly.
Early Trend Formation & Reentries: ↗ ↘
The Soft Surge (↗) and Soft Peak (↘) labels indicate areas where a trend might be forming, but is not yet fully confirmed.
These signals help traders anticipate potential entries before the trend gains full strength.
Volatility-Adaptive Trend Filtering: 📊
Since the indicator only activates in volatile conditions, it avoids the pitfalls of low-range choppy markets where false signals frequently occur.
ATR-driven adaptive windowing allows the indicator to dynamically adjust its sensitivity based on real-time volatility conditions.
How to Use This Indicator
1. Identifying High-Probability Entries
Bullish Entries (Long Trades)
Look for 🚀 Surge signals in an uptrend.
Confirm with RSI (should be above 50 for momentum).
Ensure volatility is increasing to validate the breakout.
Use ↗ Soft Surge signals for early entries before the trend fully confirms.
Bearish Entries (Short Trades)
Look for 🔥 Power Peak signals in a downtrend.
RSI should be below 50, indicating downward momentum.
Volatility should be rising, ensuring market momentum is strong.
Use ↘ Soft Peak signals for early entries before a full bearish confirmation.
2. Avoiding False Signals
Ignore signals when the market is ranging (low ATR).
Check RSI and ROC alignment to ensure trend confirmation.
Use additional confluences (e.g., price action, support/resistance levels, moving averages) for enhanced accuracy.
3. Trend Confirmation & Filtering
The stronger the trend, the higher the likelihood that Surge (🚀) and Power Peak (🔥) signals will continue in their direction.
Soft Surge (↗) and Soft Peak (↘) act as early warning signals before major breakouts occur.
What Makes This a Machine Learning-Inspired Moving Average?
While this indicator is not a direct implementation of machine learning (as Pine Script lacks AI/ML capabilities), it mimics machine learning principles by adapting dynamically to market conditions using the following techniques:
Adaptive Trend Selection:
It does not rely on fixed moving averages but instead adapts dynamically based on volatility expansion and momentum detection.
ATR-based filtering adjusts the indicator’s sensitivity to real-time conditions.
Multi-Factor Confirmation (Feature Engineering Equivalent in ML):
Combines ROC, RSI, and ATR in a structured way, similar to how ML models use multiple inputs to filter and classify data.
Implements conditional trend recognition, ensuring that only valid signals pass through the filter.
Noise Reduction with Data Smoothing:
The algorithm avoids false signals by incorporating trend intensity thresholds, much like how ML models remove outliers to refine predictions.
Adaptive filtering ensures that low-volatility environments do not produce misleading signals.
Why Use This Indicator?
✔ Reduces False Signals: Multi-factor validation ensures only high-confidence signals are triggered.
✔ Works in All Market Conditions: Volatility-adaptive nature allows the indicator to perform well in both trending and ranging markets.
✔ Great for Swing & Intraday Trading: It helps spot momentum shifts early and allows traders to catch major market moves before they fully develop.
✔ Visually Intuitive: Color-coded trends and clear signal markers make it easy to interpret.
Median Deviation Bands | QuantumResearchIntroducing QuantumResearch’s Median Deviation Bands Indicator
The Median Deviation Bands indicator is an advanced volatility-based tool designed to help traders identify price trends, market reversals, and potential trading opportunities.
By using a percentile-based median baseline combined with standard deviation bands, this indicator provides a dynamic framework for analyzing price movements and assessing market volatility.
How It Works
Baseline Calculation:
The median price over a user-defined period (default: 50) is calculated using the 50th percentile of price data.
This serves as the central reference point for trend analysis.
Trend Identification:
Bullish Trend: Occurs when the price crosses above the baseline.
Bearish Trend: Occurs when the price crosses below the baseline.
Deviation Bands:
The indicator plots three sets of upper and lower bands, representing 1x, 2x, and 3x standard deviations from the median.
These bands act as dynamic support and resistance zones, helping traders identify overbought and oversold conditions.
Visual Representation
The Median Deviation Bands indicator offers a clear, customizable visual layout:
Color-Coded Baseline:
Green (Bullish): Price is above the median.
Red (Bearish): Price is below the median.
Deviation Bands:
First Band (Light Fill): Represents 1 standard deviation from the baseline.
Second Band (Medium Fill): Represents 2 standard deviations, highlighting stronger trends.
Third Band (Dark Fill): Represents 3 standard deviations, showing extreme price conditions.
Trend Markers:
Green Up Arrows: Indicate the start of a bullish trend when price crosses above the baseline.
Red Down Arrows: Indicate the start of a bearish trend when price crosses below the baseline.
Customization & Parameters
The Median Deviation Bands indicator includes multiple user-configurable settings to adapt to different trading strategies:
Baseline Length: Default set to 50, determines the lookback period for median calculation.
Source Price: Selectable input price for calculations (default: close).
Band Visibility: Traders can toggle individual deviation bands on or off to match their preferences.
Trend Markers: Option to enable or disable up/down trend arrows.
Color Modes: Choose from eight color schemes to customize the indicator’s appearance.
Trading Applications
This indicator is highly versatile and can be applied to multiple trading strategies, including:
Volatility-Based Trading: Price movement within and outside the bands helps traders gauge volatility and market conditions.
Trend Following: The baseline and deviation bands help confirm ongoing trends.
Mean Reversion Strategies: Traders can look for price reactions at extreme bands (±3 standard deviations).
Final Note
QuantumResearch’s Median Deviation Bands indicator provides a unique approach to market analysis by integrating percentile-based median price levels with standard deviation-based volatility bands.
This combination helps traders understand price behavior in relation to historical volatility, making it a valuable tool for both trend-following and mean-reversion strategies.
As always, backtesting and customization are recommended to optimize performance across different market conditions.
AI Volume Breakout for scalpingPurpose of the Indicator
This script is designed for trading, specifically for scalping, which involves making numerous trades within a very short time frame to take advantage of small price movements. The indicator looks for volume breakouts, which are moments when trading volume significantly increases, potentially signaling the start of a new price movement.
Key Components:
Parameters:
Volume Threshold (volumeThreshold): Determines how much volume must increase from one bar to the next for it to be considered significant. Set at 4.0, meaning volume must quadruplicate for a breakout signal.
Price Change Threshold (priceChangeThreshold): Defines the minimum price change required for a breakout signal. Here, it's 1.5% of the bar's opening price.
SMA Length (smaLength): The period for the Simple Moving Average, which helps confirm the trend direction. Here, it's set to 20.
Cooldown Period (cooldownPeriod): Prevents signals from being too close together, set to 10 bars.
ATR Period (atrPeriod): The period for calculating Average True Range (ATR), used to measure market volatility.
Volatility Threshold (volatilityThreshold): If ATR divided by the close price exceeds this, the market is considered too volatile for trading according to this strategy.
Calculations:
SMA (Simple Moving Average): Used for trend confirmation. A bullish signal is more likely if the price is above this average.
ATR (Average True Range): Measures market volatility. Lower volatility (below the threshold) is preferred for this strategy.
Signal Generation:
The indicator checks if:
Volume has increased significantly (volumeDelta > 0 and volume / volume >= volumeThreshold).
There's enough price change (math.abs(priceDelta / open) >= priceChangeThreshold).
The market isn't too volatile (lowVolatility).
The trend supports the direction of the price change (trendUp for bullish, trendDown for bearish).
If all these conditions are met, it predicts:
1 (Bullish) if conditions suggest buying.
0 (Bearish) if conditions suggest selling.
Cooldown Mechanism:
After a signal, the script waits for a number of bars (cooldownPeriod) before considering another signal to avoid over-trading.
Visual Feedback:
Labels are placed on the chart:
Green label for bullish breakouts below the low price.
Red label for bearish breakouts above the high price.
How to Use:
Entry Points: Look for the labels on your chart to decide when to enter trades.
Risk Management: Since this is for scalping, ensure each trade has tight stop-losses to manage risk due to the quick, small movements.
Market Conditions: This strategy might work best in markets with consistent volume and price changes but not extreme volatility.
Caveats:
This isn't real AI; it's a heuristic based on volume and price. Actual AI would involve machine learning algorithms trained on historical data.
Always backtest any strategy, and consider how it behaves in different market conditions, not just the ones it was designed for.
Bollinger Bands Long Strategy
This strategy is designed for identifying and executing long trades based on Bollinger Bands and RSI. It aims to capitalize on potential oversold conditions and subsequent price recovery.
Key Features:
- Bollinger Bands (10,2): The strategy uses Bollinger Bands with a 10-period moving average and a multiplier of 2 to define price volatility.
- RSI Filter: A trade is only triggered when the RSI (14-period) is below 30, ensuring entry during oversold conditions.
- Entry Condition: A long trade is entered immediately when the price crosses below the lower Bollinger Band and the RSI is under 30.
- Exit Condition: The position is exited when the price reaches or crosses above the Bollinger Band basis (20-period moving average).
Best Used For:
- Identifying oversold conditions with a strong potential for a rebound.
- Markets or assets with clear oscillations and volatility e.g., BTC.
**Disclaimer:** This strategy is for educational purposes and should be used with caution. Backtesting and risk management are essential before live trading.
GOLD Volume-Based Entry StrategyShort Description:
This script identifies potential long entries by detecting two consecutive bars with above-average volume and bullish price action. When these conditions are met, a trade is entered, and an optional profit target is set based on user input. This strategy can help highlight momentum-driven breakouts or trend continuations triggered by a surge in buying volume.
How It Works
Volume Moving Average
A simple moving average of volume (vol_ma) is calculated over a user-defined period (default: 20 bars). This helps us distinguish when volume is above or below recent averages.
Consecutive Green Volume Bars
First bar: Must be bullish (close > open) and have volume above the volume MA.
Second bar: Must also be bullish, with volume above the volume MA and higher than the first bar’s volume.
When these two bars appear in sequence, we interpret it as strong buying pressure that could drive price higher.
Entry & Profit Target
Upon detecting these two consecutive bullish bars, the script places a long entry.
A profit target is set at current price plus a user-defined fixed amount (default: 5 USD).
You can adjust this target, or you can add a stop-loss in the script to manage risk further.
Visual Cues
Buy Signal Marker appears on the chart when the second bar confirms the signal.
Green Volume Columns highlight the bars that fulfill the criteria, providing a quick visual confirmation of high-volume bullish bars.
Works fine on 1M-2M-5M-15M-30M. Do not use it on higher TF. Due the lack of historical data on lower TF, the backtest result is limited.
Dynamic Median EMA | QuantEdgeBIntroducing Dynamic Median EMA by QuantEdgeB
Dynamic Median EMA | QuantEdgeB is an adaptive moving average indicator that blends median filtering, a volatility-based dynamic EMA, and customizable filtering techniques to create a responsive yet stable trend detection system. By incorporating Standard Deviation (SD) or ATR bands, this indicator dynamically adjusts to market conditions, making it a powerful tool for both traders and investors.
Key Features:
1. Dynamic EMA with Efficiency Ratio 🟣
- Adjusts smoothing based on market conditions, ensuring optimal responsiveness to price changes.
- Uses an efficiency ratio to dynamically modify the smoothing factor, making it highly adaptive.
2. Median-Based vs. Traditional EMA Source 📊
- Users can choose between a Median-based smoothing method (default: ✅ enabled ) or a traditional price source.
- The median filter provides better noise reduction in choppy markets.
3. Volatility-Based Filtering with Custom Bands 🎯
- Two filtering methods:
a. Standard Deviation (SD) Bands 📏 (default ✅) – Expands and contracts based on
historical deviation.
b. ATR Bands 📈 – Uses Average True Range (ATR) to adjust dynamic thresholds.
- The user can toggle between SD and ATR filtering, depending on market behavior.
4. Customizable Signal Generation ✅❌
- Long Signal: Triggered when the price closes above the selected upper filter band .
- Short Signal: Triggered when the price closes below the lower filter band .
- Dynamically adjusts based on the filtering method (SD or ATR).
5. Enhanced Visuals & Customization🎨
- Multiple color modes available (Default, Solar, Warm, Cool, Classic, X).
- Gradient filter bands provide a clearer view of volatility expansion/contraction.
- Candlestick coloring for instant visual confirmation of bullish/bearish conditions.
________
How It Works:
- Source Selection : Users can choose to use the median of price action or a traditional price feed as the base input for the Dynamic EMA.
- Dynamic EMA Calculation : The indicator applies a volatility-adjusted smoothing algorithm based on the efficiency ratio, ensuring that price trends are detected quickly in volatile markets and smoothly in stable ones.
- Filtering Mechanism : 🎯 Use can chose between two filtering options. Standard deviation to dynamically adjust based on market deviations or ATR Bands to determine trend strength through volatility expansions
- Signal Generation :
1. Bullish (🔵) is triggered when price crosses above the upper band.
2. Bearish (🔴) is generated when price drops below the lower band.
- The filtering method (SD/ATR) determines how the bands expand/contract, allowing for better trade adaptability.
________
Use Cases:
✅ For Trend Trading & Breakouts:
- Use SD bands (default setting) to capture trend breakouts and avoid premature entries.
- SD bands expand during high volatility, helping confirm strong breakouts, and contract during low volatility, helping confirm earlier trend exit.
- Consider increasing Dynamic EMA length (default 8) for longer-term trend detection.
✅ For Smoother Trend Filtering:
- Enable ATR bands for a more stable and gradual trend filter.
- ATR bands help reduce noise in choppy conditions while maintaining responsiveness to volatility.
- This setting is useful for traders looking to ride trends with fewer false exits.
✅ For Volatility Awareness:
- Watch the expansion and contraction of the filter bands:
- Wide SD bands = High volatility, breakout potential.
- Tight SD bands = Consolidation, potential trend exhaustion.
- ATR bands provide steadier adjustments, making them ideal for traders who prefer
smoother trend confirmation.
________
Customization Options:
- Source Selection 🟢 (Default: Median filtering enabled ✅)
- Dynamic EMA Length ⏳ (Default: 8 )
- Filtering Method🎯 (SD Bands ✅ by default, toggle ATR if needed)
- Standard Deviation Length 📏 (Default: 30 )
- ATR Length 📈 (Default: 14, ATR multiplier 1.3)
- SD Bands Weights:📌
- Default settings (Upper = 1.035, Lower = 1.02) are optimized for daily charts.
- For lower timeframes (e.g., hourly charts), consider using lighter weights such as Upper =
1.024 / Lower = 1.008 to better capture price movements.
- The optimal SD Band weights depend on the asset's volatility, so adjust accordingly to align
with market conditions.
- Multiple Color Themes 🎨 (Default, Solar, Warm, Cool, Classic, X)
________
Conclusion
The Dynamic Median EMA | QuantEdgeB is a powerful trend-following & filtering indicator designed to adapt dynamically to market conditions. By combining a volatility-responsive EMA, custom filter bands, and signal-based candlestick coloring, this tool provides clear and reliable trade signals across different market environments. 🚀📈
🔹 Disclaimer: Past performance is not indicative of future results. No trading indicator can guarantee success in financial markets.
🔹 Strategic Consideration: As always, backtesting and strategic adjustments are essential to fully optimize this indicator for real-world trading. Traders should consider risk management practices and adapt settings to their specific market conditions and trading style.
Absolute Volume Levels [AlgoRich]This indicator classifies the volume of each candle into three levels—weak, intermediate, and strong—using absolute thresholds. It allows you to define fixed levels for what constitutes low, moderate, or high activity.
Key Features:
Classification by Absolute Thresholds:
The indicator uses two configurable cut-off points:
Intermediate Volume Threshold: The value from which volume is no longer considered weak and is classified as intermediate.
Strong Volume Threshold: The value from which volume is considered strong.
Any volume below the intermediate threshold is classified as weak; volume between the thresholds is classified as intermediate; and volume above the strong threshold is considered strong.
Distinction Between Bullish and Bearish Candles:
Bullish candles are displayed with positive volume (bars pointing upward).
Bearish candles are shown with negative volume (bars pointing downward).
This makes it easier to quickly identify the prevailing direction of volume activity.
Customizable Colors:
You can independently adjust the colors for each volume level for both bullish and bearish candles. This helps to visually highlight unusual volume levels, which can be useful for detecting breakouts or liquidity sweeps.
Benefits of Using This Indicator:
Simplicity and Clarity:
By using absolute thresholds, you eliminate the dependency on moving averages, obtaining a direct measure of volume relative to fixed values. This is particularly useful if you know the typical volume ranges for your asset.
Adaptability:
The thresholds and colors can be easily adjusted to suit different assets and timeframes, allowing you to fine-tune the indicator to your trading style and needs.
Effective Visualization:
The representation of volume bars—differentiated by both direction (bullish or bearish) and intensity (weak, intermediate, or strong)—facilitates the quick identification of changes in market activity, helping you make more informed trading decisions.
This indicator is ideal for traders who want to assess volume in absolute terms and clearly visualize spikes in activity that may indicate trading opportunities or confirm trend changes.
ATR SuperTrend - IonJauregui-ActivTradesEste script en Pine Script utiliza el indicador SuperTrend basado en el ATR para identificar tendencias y generar señales de compra y venta.
¿Cómo funciona?
Detecta la volatilidad con el ATR para calcular niveles dinámicos de soporte y resistencia.
Dibuja la tendencia:
Línea verde: Tendencia alcista.
Línea roja: Tendencia bajista.
Genera señales de trading:
Compra cuando la tendencia pasa de bajista a alcista.
Venta cuando cambia de alcista a bajista.
Opera de forma automática:
Abre posiciones según las señales.
Establece stop loss y take profit para gestionar el riesgo.
Este indicador ayuda a seguir la tendencia y automatizar operaciones, filtrando el ruido del mercado.
**********************************************************
This Pine Script uses the SuperTrend indicator based on ATR to identify trends and generate buy and sell signals.
How it works:
Detects volatility with ATR to calculate dynamic support and resistance levels.
Plots the trend:
Green line: Bullish trend.
Red line: Bearish trend.
Generates trading signals:
Buy when the trend switches from bearish to bullish.
Sell when it switches from bullish to bearish.
Trades automatically:
Opens positions based on the signals.
Sets stop loss and take profit to manage risk.
This indicator helps follow the trend and automate trades, filtering out market noise.
STRAW Volume Spike IndicatorThis is basically a:
High-Volume Impulse Detector
The High-Volume Impulse Detector is a refined tool designed to highlight key moments of explosive volume surges in the market, specifically calibrated for assets like Bitcoin on the 15-minute timeframe. Unlike generic volume-based indicators, this script doesn’t just flag high volume—it intelligently adapts to market dynamics by incorporating a custom-moving average baseline and highlighting instances where volume exceeds a significant threshold relative to the average.
Key Features
✅ Adaptive Volume Benchmark – Uses a dynamic moving average to filter out noise and pinpoint meaningful volume spikes.
✅ Impulse Confirmation – Only highlights volume bars that exceed the 50% threshold above the baseline, ensuring signals capture real liquidity shifts.
✅ Smart Color Coding – Differentiates high-impact bullish and bearish volume with distinct visual cues for easy market structure identification.
✅ Designed for Order Block Traders – Helps validate liquidity-driven price movements essential for refining order block and break-of-structure strategies.
Unlike conventional volume overlays, this tool helps traders connect volume surges to key structural shifts, making it an ideal companion for those navigating momentum shifts, market inefficiencies, and institutional footprints.
⚡ Best used on BTC 15m for tracking aggressive volume-driven moves in real-time.
Cypto Oscillator with Sortino-like VolatilityEnhanced Inverted Ultimate Oscillator with Sortino-like Volatility
This indicator combines the power of the Ultimate Oscillator with a unique Sortino-like volatility calculation to provide a comprehensive view of market dynamics. It's designed to help traders identify potential turning points and assess the risk associated with price movements.
**Core Components:**
* **Ultimate Oscillator (UO):** The UO is a momentum indicator that incorporates short, medium, and long-term price action to identify overbought and oversold conditions. This indicator inverts and normalizes the UO to a 0-10 scale, providing a clear view of momentum shifts.
* **Sortino-like Volatility:** Instead of a standard deviation, this indicator uses a downside deviation calculation. This focuses specifically on *negative* price movements, offering a more relevant measure of risk for most traders. By not penalizing upside volatility, it avoids giving false signals during strong bull runs. The downside deviation is scaled as a percentage of the closing price for cross-asset comparability.
* **Volatility Signal:** The inverted UO is multiplied by the downside deviation to create a combined volatility signal. This signal reflects both momentum and downside risk, providing a more nuanced market perspective.
**Key Features and Uses:**
* **Identifying Potential Turning Points:** Divergences between the UO and price action can signal potential trend reversals. Look for the UO to make higher lows while price makes lower lows (bullish divergence) or the UO to make lower highs while price makes higher highs (bearish divergence).
* **Assessing Downside Risk:** The Sortino-like volatility component helps traders gauge the potential for downside price swings. Higher volatility suggests greater risk.
* **Dynamic Volatility Thresholds:** The indicator includes adjustable upper and lower volatility thresholds, based on a moving average of the volatility signal. These thresholds can be used to identify periods of unusually high or low volatility.
* **Customizable Lookback Periods:** Traders can adjust the lookback periods for the UO and the standard deviation calculation to fine-tune the indicator to their specific trading style and market conditions.
* **Visualizations:** The indicator provides several visual aids, including:
* A histogram of the volatility signal, colored dynamically based on its relationship to the moving average of volatility. Red indicates volatility above the upper bound, orange between the bounds and green below the lower bound.
* A line plot of the volatility signal.
* An optional moving average of the volatility signal.
* Optional upper and lower volatility threshold lines with a filled range for visual clarity.
* **Alerts:** The indicator includes alert conditions for when the volatility signal crosses above the upper threshold (high volatility) or below the lower threshold (low volatility).
**How to Use:**
1. **Inputs:** Adjust the input parameters to optimize the indicator for your chosen asset and timeframe.
2. **Divergences:** Look for divergences between the UO and price to identify potential trend reversals.
3. **Volatility:** Use the volatility signal and thresholds to assess downside risk.
4. **Alerts:** Enable alerts to be notified of high or low volatility events.
**Disclaimer:** This indicator is for informational purposes only and should not be considered financial advice. Always conduct your own thorough analysis before making any trading decisions.
Key improvements in this description:
Clear and concise language: Easy for traders to understand.
Focus on benefits: Highlights how the indicator can help traders.
Detailed explanation of features: Covers all the important aspects.
How-to-use section: Provides practical guidance.
Disclaimer: Includes a necessary disclaimer.
Emphasis on the Sortino-like approach: This is a unique selling point of your indicator.
Well-structured and formatted: Easy to read and digest.
This description should be a great starting point for sharing your indicator with the TradingView community. You can further customize it by adding screenshots of the indicator in action or linking to a chart where it's being used. Remember to respond to comments and questions from other users to build engagement and improve your indicator over time.
Session Opening Ranges [DB](Reuploaded with open source script)
A simple indicator that displays the 15 minute opening ranges of the Asia, London and New York trading sessions.
You can select how many days you want to display in total and also customise the colors of each session. The indicator is coded to NY time and should always display at the correct times, which are:
- 18:00 - 18:15 for Asia
- 03:00 - 03:15 for London
- 09:30 - 09:45 for New York
You can also choose to display the sessions name and/or range in points.
If you find any bugs let me know in the comments.
Enjoy!
Swing Profile Analyzer [ChartPrime]Swing Profile Analyzer
The Swing Profile Analyzer is a comprehensive tool designed to provide traders with valuable insights into swing frequency profiles, enabling them to identify key price levels and areas of market interest.
⯁ KEY FEATURES
Swing Frequency Profiles
Automatically plots frequency profiles for each swing, highlighting price distribution and key levels of significance.
Point of Control (POC) Line
Marks the price level with the highest number of closes within a swing, acting as a key area for potential price reactions.
Customizable Trend Display
Allows users to toggle between displaying profiles for bullish swings, bearish swings, or both, offering tailored analysis.
Integrated ZigZag Lines
Visualizes swing highs and lows, providing a clear picture of market trends and reversals.
Dynamic Profile Visualization
Profiles are color-coded to indicate the frequency of closes, with the highest value bins distinctly marked for easy recognition.
Max Frequency Highlight
Displays numerical values for the most active price level within each profile, showing how many closes occurred at the peak bin.
Updates only after swing formed
Profiles and POC lines automatically appear after swing is done
⯁ HOW TO USE
Identify Critical Price Levels
Use the POC line and frequency distribution to locate levels where price is likely to react or consolidate.
Analyze Swing Characteristics
Observe swing profiles to understand the strength, duration, and behavior of market trends.
Plan Entries and Exits
Leverage significant price levels and high-frequency bins to make more informed trading decisions.
Focus on Specific Trends
Filter profiles to analyze bullish or bearish swings based on your trading strategy.
⯁ CONCLUSION
The Swing Profile Analyzer is an essential tool for traders seeking to understand price dynamics within market swings. By combining frequency profiles, POC levels, and trend visualization, it enhances your ability to interpret and act on market movements effectively.
Alpha Beta Gamma OscillatorThis momentum oscillator calculates three key ratios to analyze price position within a dynamic range:
1. **Alpha (Blue Line)**
`Alpha = (Current Close - Lowest Close) / Lookback Period`
Measures the absolute price elevation above the recent low, normalized by time. Represents raw upward momentum.
2. **Beta (Red/Blue Line)**
`Beta = (Highest Close - Lowest Close) / Lookback Period`
Calculates the normalized price range volatility over the period. Acts as a denominator for relative positioning.
3. **Gamma (Green/Red Line)**
`Gamma = Alpha / Beta`
Creates a 0-1 bounded oscillator showing relative position within the recent price range:
- 0 = At period's lowest close
- 1 = At period's highest close
- 0.5 = Midpoint of range
**Key Features:**
- Dynamic horizontal levels (default 15/85) for overbought/oversold zones
- Color-coded momentum direction:
- Beta turns red when expanding volatility
- Gamma turns green when strengthening momentum
- Candle visualization reinforces gamma's directional bias
- All calculations adapt automatically to the user-defined lookback period
**Interpretation Guide:**
- Gamma > 0.15 suggests overbought conditions
- Gamma < 0.85 indicates oversold territory
- Converging Alpha/Beta signals range contraction
- Gamma candles + line color alignment confirms trend strength
*Usage: Best applied to identify mean-reversion opportunities and confirm breakout/breakdown scenarios in ranging markets.*
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This description maintains technical accuracy while being accessible to traders, with clear attribution to najoomi ji as the creator.
ATR stop lossPlots the stop loss level based on average true range (ATR) and a multiplier of choice (1 to 2.5, default is 1.5), subtracted from closing price.
Additions in this version:
You can now show percentage labels to help evaluate the level of risk.
The color of the plotted line and the text labels can be picked by the user.
Bollinger Bands + RSI [Uncle Sam Trading]The Bollinger Bands + RSI indicator combines two popular technical analysis tools, Bollinger Bands (BB) and the Relative Strength Index (RSI), into a unified framework designed to assess both market volatility and momentum. This indicator provides both visual signals on the chart, and allows you to set alerts. It is intended to help traders identify potential overbought/oversold conditions, trend reversals, and to refine trade entry and exit points.
Key Features:
Bollinger Bands: The indicator plots Bollinger Bands, which consist of a basis line (typically a 20-period Simple Moving Average), an upper band (basis + 2 standard deviations), and a lower band (basis - 2 standard deviations). The bands dynamically adjust to market volatility, widening during periods of increased volatility and contracting during periods of decreased volatility.
Relative Strength Index (RSI): The RSI, a momentum oscillator, is plotted in a separate pane below the price chart. It measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. Traditional interpretation uses 70 and 30 as overbought and oversold levels, respectively.
Overbought/Oversold Zones Highlighting: This indicator uniquely highlights overbought and oversold zones directly on the price chart based on the RSI values. When the RSI is above the overbought level (default 70), a red-shaded area is displayed. When the RSI is below the oversold level (default 30), a green-shaded area is displayed. These visual cues enhance the identification of potential trend reversals.
Buy and Sell Signals: The indicator generates buy signals when the price crosses above the lower Bollinger Band and the RSI is below the oversold level (if the RSI filter is enabled). Sell signals are generated when the price crosses below the upper Bollinger Band and the RSI is above the overbought level (if the RSI filter is enabled). These signals are plotted as green upward-pointing triangles (buy) and red downward-pointing triangles (sell) on the chart.
Customizable Parameters: Users can adjust various settings, including:
Bollinger Bands Length: The number of periods used to calculate the moving average and standard deviation.
Bollinger Bands Standard Deviation: The multiplier used to determine the distance of the upper and lower bands from the basis.
RSI Length: The number of periods used to calculate the RSI.
RSI Overbought/Oversold Levels: The threshold values that define overbought and oversold conditions for the RSI.
Use RSI Filter for Signals: Enable/disable the RSI filter for buy and sell signals.
Colors: The colors of the Bollinger Bands, RSI, overbought/oversold levels, and zone highlights can be customized to suit user preferences.
Alerts: The indicator supports customizable alerts for various conditions, including:
Buy Signal: Triggered when a buy signal is generated.
Sell Signal: Triggered when a sell signal is generated.
Price Crossed Upper BB: Triggered when the price crosses above the upper Bollinger Band.
Price Crossed Lower BB: Triggered when the price crosses below the lower Bollinger Band.
RSI Overbought: Triggered when the RSI crosses above the overbought level.
RSI Oversold: Triggered when the RSI crosses below the oversold level.
How to Use:
The Bollinger Bands + RSI indicator can be used in various ways, including:
Identifying Potential Trend Reversals: Price crosses above the lower band coupled with an oversold RSI (and highlighted zone) may signal a bullish reversal. Conversely, a price cross below the upper band with an overbought RSI (and highlighted zone) may indicate a bearish reversal.
Confirming Trend Strength: In an uptrend, the price may "ride" the upper band, while in a downtrend, it may "ride" the lower band.
Exit Signals: Crossing the opposite band while in a trade, particularly with confirming RSI signals, is often used to identify potential exit points.
Combined with Other Analysis: This indicator works well in conjunction with other technical analysis tools, such as trend lines, support/resistance levels, chart patterns, and moving average-based strategies.
Disclaimer:
This indicator is for educational and informational purposes only and should not be considered as financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct thorough research and consider your risk tolerance before making any trading decisions.
[AlbaTherium] MTF Volatility Edge Zones Premium for Price Action Volatility Edge Zones Premium for Price Action (HTF)
The MTF Volatility Edge Zones Premium for Price Action is an advanced Multiple Timeframes (MTF) trading indicator that combines the power of volume analysis with price action, designed to reveal key volatility zones and assess market participants’ engagement levels . This tool offers unique insights into the dynamics of higher timeframes (HTF), helping traders identify critical zones of decision-making, such as potential reversals, continuations, or breakout areas.
Introduction to the MTF Volatility Edge Zones Premium
This indicator is built upon a deep understanding of the interaction between price action and volume. By mapping volume data onto price action, Volatility Edge Zones Premium (HTF) pinpoints areas of heightened market engagement. These zones represent where buyers and sellers have shown significant activity, allowing traders to identify market intent and anticipate key movements.
Key Features:
Higher Timeframe Analysis: Focuses on significant price and volume interactions over HTFs (e.g., 4H, Daily, Weekly) for a broader perspective on market trends.
Volatility Zones : Highlights areas where market participants show increased activity, signaling potential market turning points or strong continuations.
Volume-Driven Insights: Tracks the behavior of aggressive buyers and sellers, showing their engagement levels relative to price changes.
Overlayon Price Action: Provides a clear and actionable visual representation of volatility and engagement zones directly on price charts.
Chapter 1: Understanding Volatility and Engagement
1.1 Volatility Edge Zones
Volatility Edge Zones are areas where price and volume interact to signal potential changes in market direction or momentum. These zones are derived from high-volume clusters where significant market activity occurs.
1.2 Participant Engagement
Market participants can be categorized based on their level of engagement in these zones:
Aggressive Buyers: Represented by sharp spikes in volume and upward price action.
Aggressive Sellers: Represented by high volume during downward price movement.
Passive Participants: Identified in zones of consolidation or low volatility.
By isolating these behaviors, traders can gain a clearer picture of market sentiment and the relative strength of buyers versus sellers.
Chapter 2: The Principle of Volume and Price Interplay
2.1 Volume as a Leading Indicator
Volume often precedes price movements, and the Volatility Edge Zones Premium captures this relationship by overlaying volume activity onto price charts. This allows traders to:
Identify where volume supports price movement (trend confirmation).
Spot divergences where price moves without volume support (potential reversals).
2.2 The Role of Higher Timeframes
HTFs filter out market noise, revealing macro trends and key levels of engagement. The indicator uses this perspective to highlight long-term volatility zones, helping traders align their strategies with the broader market context.
Chapter 3: Visualizing Volatility Edge Zones
3.1 Color-Coded Zones for Engagement
The indicator uses a color-coded system to represent volatility zones and market engagement levels. These colors correspond to different market conditions:
Red Zones: High selling pressure and aggressive bearish activity.
Blue Zones: High buying pressure and aggressive bullish activity.
Yellow Zones: Transitional zones, representing indecision or balance between buyers and sellers.
White Zones: Neutral areas, where low engagement is observed but could serve as potential breakout points.
3.2 Key Metrics Tracked
Volume Clusters: Areas of concentrated buying or selling activity.
Directional Bias: Net buying or selling dominance.
Momentum Shifts: Sudden changes in volume relative to price action.
These metrics provide actionable insights into market dynamics, making it easier to predict key movements.
Chapter 4: Practical Applications in Trading
4.1 Identifying High-Impact Zones
By focusing on HTFs, traders can use the Volatility Edge Zones Premium to identify high-impact areas where market participants are most engaged. These zones often align with:
Support and Resistance Levels: High-volume areas that act as barriers or catalysts for price movement.
Breakout Points: Zones of heightened volatility where price is likely to escape consolidation.
4.2 Detecting Bull and Bear Campaigns
The indicator highlights early signs of bullish or bearish campaigns by analyzing volume surges in critical volatility zones. These campaigns often signal the beginning of significant trends.
Chapter 5: Real-World Examples and Strategies
5.1 Spotting Market Reversals
Real-world examples demonstrate how the indicator can identify volatility zones signaling potential reversals, allowing traders to enter positions early.
5.2 Riding the Trend
By tracking volatility zones in alignment with HTF trends, traders can maximize profit potential by entering during periods of high engagement and riding the trend until it weakens.
Conclusion
The MTF Volatility Edge Zones Premium for Price Action is an essential tool for traders looking to master market dynamics through a combination of volume and price action analysis. By focusing on higher timeframes and overlaying volatility zones onto price charts, this indicator provides unparalleled insights into market participant engagement.
Whether you’re trading intraday, swing, or long-term strategies, the MTF Volatility Edge Zones Premium equips you with the information needed to make confident and precise trading decisions. Stay tuned as we continue to enhance this tool for even greater accuracy and usability.
Finite Difference - Backward (mcbw_)In calculus there exists a 'derivative', which simply just measures the difference between two points on a curve. For well behaved mathematical functions there are infinitely many points and so there exists a derivative at every point. Where there are infinitely many points in a curve that curve is called 'continuous'. Continuous curves are very nice to deal with since each point on it exists almost exactly where its neighbors are. However, if the curve does not have infinitely many points on it, but instead has a finite number of points on it, that curve is called 'discrete' instead of continuous. Taking the derivative of discrete curves is much trickier business since there are none of the mathematical conveniences that a continuous offers. In the real world everything we measure is a discrete curve, including Price (since we measure it a finite number of times, aka each candlestick)!
The branch of Discrete Mathematics has found an approach to measure the derivative along a discrete curve, that approach is aptly called " Finite Difference ". To get a more accurate approximation of a discrete derivative, the finite difference approach uses weighted combinations of neighboring points. The most common type of finite difference is a 'central' difference, this uses a combination of points before and after the point of interest to approximate the discrete derivative. This is great for historical analysis but is not of much use for trading algorithms since it technically means using future prices to calculate the derivative of the current point. Instead we can use a less common variant called a ' Backwards Difference ' that only uses a combination of points before the current one to help approximate the current derivative.
In this script you can choose the " Order " of your derivative and the " Accuracy " of its approximation. This script is for educational purposes for folks building trading algorithms. Many trading algorithms often have an element of seeing how much Price has changed from the previous candle to the current candle. This approach is the lowest accuracy derivative possible, and using the backwards finite differences, made available for the first time on TradingView (!!), algorithms that use derivatives can now have higher orders of accuracy!
Happy Trading/Developing!
MomentumQ Momentum ROCMomentumQ Momentum Rate of Change (ROC) Indicator
The MomentumQ Momentum ROC Indicator is a powerful and user-friendly tool designed to measure the speed and strength of price momentum. By calculating the percentage change in price over a customizable period, this indicator helps traders identify trend shifts and market momentum with ease.
How It Works :
Rate of Change (ROC) Calculation :
Measures the percentage price change over a specified period (default: 14).
Helps traders determine whether an asset's momentum is increasing or decreasing.
Moving Average Smoothing :
A Simple Moving Average (SMA) is applied to the ROC for better trend visualization.
This helps filter out market noise and highlights sustained momentum trends.
Zero-Level Reference Line :
A dashed horizontal line at 0% provides a clear reference point for momentum shifts.
Above 0%: Indicates positive momentum (potential uptrend).
Below 0%: Indicates negative momentum (potential downtrend).
Key Features :
Customizable Input Parameters:
Adjust the ROC period (default: 14) to analyze short- or long-term momentum.
Modify the SMA period (default: 10) for smoother trend identification.
Intuitive Visualization :
Blue Line: Represents the Rate of Change (ROC) to track momentum shifts.
White Line: Represents the SMA of ROC, helping traders see long-term momentum.
Gray Dashed Line: A fixed reference at 0% for trend interpretation.
Momentum-Based Trading Signals :
Rising ROC: Increasing momentum, potential breakout.
Falling ROC: Weakening momentum, possible reversal.
ROC Crossing Zero: Signals a possible trend change.
User-Friendly Input Options :
Grouped settings menu for an intuitive setup experience.
Tooltips included to help traders understand each parameter.
Concepts and Calculations :
Momentum Rate of Change (ROC):
ROC = ((Close - Close ) / Close ) * 100
where n is the selected ROC period.
Simple Moving Average (SMA) of ROC :
Smooths ROC fluctuations for clearer trend insights.
How to Use :
Open the indicator settings.
Customize the ROC period (14 by default).
Enable and adjust the SMA period for smoothing (default: 10).
Analyze the plotted ROC and its SMA in relation to the zero line:
ROC > 0: Momentum is positive (uptrend).
ROC < 0: Momentum is negative (downtrend).
ROC rising or falling: Indicates strengthening or weakening momentum.
Use the insights to refine your entries and exits in trades.
Why It’s Useful :
Identifies Trend Strength – Helps detect early momentum shifts.
Confirms Trend Reversals – Zero-line crossovers can indicate changes in direction.
Works Across Multiple Markets – Stocks, Forex, Crypto, Commodities.
Customizable & Easy to Use – Adjustable settings for different strategies.
Use the MomentumQ Momentum ROC Indicator to gain deeper insights into market momentum and improve your trading decisions.
Anchored VWAPAnchored VWAP with 3 Standard Deviation Bands
📈 Version: Pine Script v5
📌 Author: Aymen Haddaji
🔍 Overview
This indicator calculates an Anchored Volume-Weighted Average Price (AVWAP), allowing traders to anchor the VWAP calculation from a user-defined date and time. It also plots three standard deviation bands above and below the AVWAP to help identify potential areas of overbought and oversold conditions.
📊 Features & Functionality
✔ Custom Anchor Point: Select a specific date and time to start the AVWAP calculation.
✔ OHLC/4 Calculation: Uses the average of Open, High, Low, and Close to smooth the price input.
✔ Three Standard Deviation Bands:
1st Deviation (Green): Moderate volatility zone.
2nd Deviation (Orange): High volatility zone.
3rd Deviation (Red): Extreme overbought/oversold areas.
✔ Real-Time Calculation: Updates dynamically with each price movement.
✔ Clear Visuals:
AVWAP (Blue Line) represents the fair market price from the anchor.
Deviation Bands (Dashed Lines) show potential support and resistance levels.
🛠 How It Works
VWAP Calculation
Uses a cumulative sum of price × volume divided by cumulative volume.
Calculation starts from the user-defined anchor time.
Standard Deviation Bands
Measures the price dispersion around the AVWAP.
The wider the bands, the higher the volatility.
When price touches or exceeds the 3rd deviation, a potential reversal zone is indicated.
Trading Strategies with AVWAP & Deviation Bands
Trend Confirmation:
Price above AVWAP = Uptrend (bullish).
Price below AVWAP = Downtrend (bearish).
Support & Resistance:
AVWAP acts as dynamic support or resistance.
1st & 2nd deviations often act as secondary levels.
Mean Reversion Trading:
When price reaches the 3rd standard deviation, a pullback is likely.
Breakout Confirmation:
A strong close above/below the 3rd deviation may indicate trend continuation.
⚙️ Input Settings
📍 Anchor Time: Allows you to set the exact date and time to start the AVWAP calculation.
🎯 Ideal For
✅ Intraday traders looking for short-term mean reversion plays.
✅ Swing traders identifying key support/resistance zones.
✅ Trend traders confirming long-term market direction.
✅ Volatility traders using standard deviation for trade entries.
Hyper MA Loop | QuantEdgeBIntroducing Hyper MA Loop by QuantEdgeB
Hyper MA Loop | QuantEdgeB is an advanced trend-following indicator that leverages a custom Hyper Moving Average (HyMA) and an innovative loop-based scoring system to assess trend strength and direction. This tool is designed to provide a dynamic perspective on market momentum, allowing traders to capture trends effectively while filtering out market noise.
Key Features:
1. Hyper Moving Average (HyMA) 🟣
- A weighted moving average that enhances trend responsiveness by applying a custom
weight function.
- Ensures smoother trend detection while maintaining reactivity to price changes.
2. Loop-Based Trend Scoring 🔄
- Utilizes a for-loop function to analyze the movement of HyMA over a specified period.
- Compares current values to past values, generating a cumulative score indicating bullish or
bearish momentum.
- Dynamic thresholds adjust to market conditions for better trend filtering.
3. Threshold-Based Signal System ✅❌
- Long Signals: Triggered when the loop score exceeds the long threshold.
- Short Signals: Activated when the score falls below the short threshold.
- Avoids false signals by requiring sustained strength before confirming a trend.
4. Customizable Visualization & Colors 🎨
- Multiple color modes (Default, Solar, Warm, Cool, Classic) for tailored aesthetics.
- Extra plot options enhance visualization of market structure and volatility.
________
How It Works:
- HyMA Calculation : A unique moving average with a specialized weighting function to
smooth out price action.
- Loop Function : Iterates over past HyMA values, assessing whether price is consistently
higher or lower.
- Threshold Comparison : The loop score is compared against pre-set thresholds to
determine bullish or bearish conditions.
- Signal Generation :
1. Bullish (🔵): If the score crosses the long threshold
2. Bearish (🔴): If the score drops below the short threshold.
- Plotting & Styling : Dynamic candles and gradient overlays provide an intuitive
visualization of rend shifts.
________
Use Cases:
✅ Ideal for trend-following traders looking for solid trends confirmation.
✅ Helps filter out choppy market conditions by adjusting sensitivity dynamically.
✅ Works well with other indicators (e.g., ADX, volume-based filters) for added confirmation.
✅ Suitable for both short-term and long-term trend analysis.
________
Customization Options:
- Adjustable HyMA Length: Modify the responsiveness of the moving average. Default se to 2.
- For-Loop Parameters: Fine-tune how far back the trend analysis should consider. Default se to Start = 1 , End = -1.
- Thresholds for Long & Short: Control signal sensitivity to market fluctuations. Default set to Long = 40, Short = 8.
- Color Modes & Extra Plots: Personalize visualization for better clarity.
________
Conclusion:
The Hyper MA Loop | QuantEdgeB is a powerful, adaptive indicator that combines custom moving averages with loop-based trend analysis to deliver accurate, visually intuitive market signals. Whether you're looking to ride strong trends or filter out weak setups, this tool provides the precision and flexibility needed for effective decision-making. 🚀📈
🔹 Disclaimer: Past performance is not indicative of future results. No trading indicator can guarantee success in financial markets.
🔹 Strategic Consideration: As always, backtesting and strategic adjustments are essential to fully optimize this indicator for real-world trading. Traders should consider risk management practices and adapt settings to their specific market conditions and trading style.
High-Low Breakout Strategy with ATR traling Stop LossThis script is a TradingView Pine Script strategy that implements a High-Low Breakout Strategy with ATR Trailing Stop.created by SK WEALTH GURU, Here’s a breakdown of its key components:
Features and Functionality
Custom Timeframe and High-Low Detection
Allows users to select a custom timeframe (default: 30 minutes) to detect high and low levels.
Tracks the high and low within a user-specified period (e.g., first 30 minutes of the session).
Draws horizontal lines for high and low, persisting for a specified number of days.
Trade Entry Conditions
Long Entry: If the closing price crosses above the recorded high.
Short Entry: If the closing price crosses below the recorded low.
The user can choose to trade Long, Short, or Both.
ATR-Based Trailing Stop & Risk Management
Uses Average True Range (ATR) with a multiplier (default: 3.5) to determine a dynamic trailing stop-loss.
Trades reset daily, ensuring a fresh start each day.
Trade Execution and Partial Profit Taking
Stop-loss: Default at 1% of entry price.
Partial profit: Books 50% of the position at 3% profit.
Max 2 trades per day: If the first trade hits stop-loss, the strategy allows one re-entry.
Intraday Exit Condition
All positions close at 3:15 PM to ensure no overnight risk.
Golden Ratio Oscillator (GRO)Here is a description for your Golden Ratio Oscillator (GRO) indicator:
Golden Ratio Oscillator (GRO) - Overview
The Golden Ratio Oscillator (GRO) is a powerful technical analysis tool that leverages the Golden Ratio (1.618) to smooth price action and generate a normalized momentum-based oscillator. By applying a Golden Ratio-based Exponential Moving Average (EMA), the indicator offers a unique way to analyze price trends, overbought/oversold conditions, and potential reversals.
How It Works
Golden Ratio Smoothing:
The indicator applies a smoothing function based on the Golden Ratio (Φ = 1.618) to the closing price.
This creates a dynamically smoothed price curve, reducing noise while maintaining responsiveness to price changes.
Normalization for Oscillation:
The smoothed price is normalized between -1 and 1, making it a bounded oscillator that fluctuates within a fixed range.
This allows traders to easily interpret overbought and oversold conditions.
Overbought & Oversold Levels:
The oscillator includes two key horizontal reference lines:
Overbought Level (+1.0) – Indicates potential reversal zones from bullish momentum.
Oversold Level (-1.0) – Suggests possible price bottoms and reversal opportunities.
The area between these levels is visually highlighted for better clarity.
How to Use the Indicator
Trend & Momentum Analysis:
When GRO is rising, it signals increasing bullish momentum.
When GRO is falling, it indicates weakening price action or bearish momentum.
Overbought & Oversold Zones:
A reading near +1.0 suggests the market is overbought and could face selling pressure.
A reading near -1.0 indicates an oversold condition, hinting at a potential buying opportunity.
Divergence Detection:
If price makes a new high, but GRO fails to confirm, it signals a potential bearish divergence (weakening trend).
If price makes a new low while GRO holds higher, it suggests bullish divergence (potential reversal).
Customizable Parameters:
Smoothing Length: Defines the responsiveness of the indicator (default: 14).
Overbought/Oversold Levels: Can be adjusted to fine-tune entry and exit points.
Why Use the Golden Ratio Oscillator?
✅ Golden Ratio-Based Smoothing: Reduces noise while maintaining trend sensitivity.
✅ Dynamic Normalization: Adapts to market conditions, making it more intuitive.
✅ Clear Overbought/Oversold Signals: Helps in spotting potential reversals with confidence.
✅ Versatile Trading Applications: Useful for trend confirmation, reversals, and divergence analysis.
