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.
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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.
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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.
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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)
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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.
Volatilità
LeaderTitle: Leader
Category: Technical Analysis Indicator
Version: Pine Script v5
Author: Syed Irfan Baksh
Market: Works on all instruments & timeframes
Description:
The Leader indicator is a powerful trading tool designed for trend-based traders. It identifies high-probability buy and sell signals using a combination of Exponential Moving Averages (EMA), Relative Strength Index (RSI), and Stochastic Oscillator to minimize false entries.
💡 Key Features:
✅ EMA Trend Confirmation – Uses 9-period and 21-period EMAs to confirm bullish/bearish trends.
✅ RSI Strength Filter – Prevents weak signals by requiring RSI above 55 for buys and below 45 for sells.
✅ Stochastic Confirmation – Ensures oversold/overbought conditions are accounted for, reducing false breakouts.
✅ Clear Visual Alerts – Displays BUY and SELL signals directly on the chart for easy interpretation.
✅ Universal Compatibility – Works on all assets (Forex, Stocks, Crypto, Commodities) and all timeframes.
How to Use:
📈 Buy Signal:
The 9 EMA crosses above the 21 EMA.
RSI is above 55, indicating strong bullish momentum.
Stochastic (%K and %D) is above 25, confirming upward movement.
📉 Sell Signal:
The 9 EMA crosses below the 21 EMA.
RSI is below 45, signaling bearish momentum.
Stochastic (%K and %D) is below 75, confirming downward pressure.
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.
ATR Stop Loss & Take ProfitHow It Works:
Parameters :
ATR Period : The period for calculating ATR (default is 14).
Stop Loss Multiplier : The ATR multiplier for calculating the stop-loss (default is 1.5).
Take Profit Multiplier : The ATR multiplier for calculating the take-profit (default is 2.0).
ATR Calculation :
The built-in ta.atr() function is used to calculate the Average True Range.
Stop-Loss Levels :
For long positions: the current price minus the ATR value multiplied by the multiplier.
For short positions: the current price plus the ATR value multiplied by the multiplier.
Take-Profit Levels :
For long positions: the current price plus the ATR value multiplied by the multiplier.
For short positions: the current price minus the ATR value multiplied by the multiplier.
Visualization :
Green line — Stop-loss level for long positions.
Red line — Stop-loss level for short positions.
Teal line — Take-profit level for long positions.
Orange line — Take-profit level for short positions.
Text labels "Long SL", "Short SL", "Long TP", and "Short TP" are added for clarity.
ATR ve RSI GöstergesiATR (Average True Range) ve RSI (Relative Strength Index) değerlerini gösteren basit bir indikatör.
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!
Midnight range DeviationsScript Title: Midnight Range Deviations
Overview
This Pine Script (written in version 6) is designed to plot a “midnight range” on a chart based on price action from midnight to 00:30 (local exchange time in America/New_York by default). After determining the High, Low, and Midpoint during that half-hour window, the script extends those levels to a specified future time (by default, up to 6:00 AM). Additionally, the script can draw optional Fibonacci deviation lines above and below the range. Users can customize a variety of visual and functional parameters, including the number of historical ranges shown, colors for each line, the presence of labels, Fibonacci levels, and more.
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.
Gong's_indicatorIt is a frame less than 15 minutes, which is an advantageous indicator for use in horizontal sections.
It is recommended to buy and sell in hedging mode because other position orders may be created while the entered position is not organized.
Since the buying/selling position winning rate is similar for a long time, it is also a good idea to proceed with the sale only in one direction while checking the big trend.
Signal labels may appear as candle finish criteria.
Even if the label does not appear, you can open the position in the green section and the red section with the purple line as a stoploss.
It is good for picking up inflection points immediately after a short period of large rise and fall.
The size of the channel gap drawn varies with the intensity of the short-term motion.
In the green area, the long position's profit-loss ratio is advantageous, and in the red area, the short position's profit-loss ratio is advantageous.
If a buy signal occurs, if the location is a green box, you can add a little more seeds or leverage.
If the three diamonds are attached together, it means that they have fallen/increased significantly in a short period of time, and the position you hold at this time will have a lower winning rate, but you can open a position with a high profit/loss ratio.
Since the stopros and target price on the label are not absolute, it is better to set them up by referring to your own trading basis.
One of the two targets is a 1:1 or higher profit or loss ratio calculated based on the distance from the stoploss.
The one thing that remains is based on a technical basis for when you reach a section where the reverse trend can come out.
Stoploss is a value that takes into account the range of stop hunting that slightly breaks the top and bottom of the box.
This indicator has a high win rate for sideways area, but if a trend occurs, the reverse trend position can remain open, which increases the likelihood of losing back-to-back.
Therefore, it is recommended that you stop entering the same position for 240 times the time of the frame you are using once the stop is signed.
When the stoploss are signed, switching in the opposite direction when touching the gray area is also a good response.
After the stoploss, if a big reverse occurred and broke right through the gray area, the additional position entry in the green/red area will mostly protect your money.
15분봉 이하의 프레임으로 횡보구간에서 사용하기 유리한 지표입니다.
진입된 포지션이 정리되지 않은 상태에서 다른 포지션 오더가 추가 생성될 수 있기 때문에 헷지모드로 매매하시는 것을 권장합니다.
긴 시간동안 매수/매도 포지션 승률이 비슷하기 때문에 큰 추세를 확인하면서 한 쪽 방향으로만 매매를 진행하시는 것도 좋은 방법입니다.
캔들 마감 기준으로 시그널 라벨이 등장할 수 있습니다.
라벨이 뜨지 않아도 보라색 선을 스탑로스로 하여 녹색 구간, 적색 구간에서 포지션 오픈이 가능합니다.
단기간 큰 상승,하락 직후 변곡지점을 잡아낼 때 쓰기 좋습니다.
단기 움직임의 강도에 따라 그려져 있는 채널 갭의 크기가 변합니다.
녹색 구간에서는 매수 손익비가 유리하고 적색 구간에서는 매도 손익비가 유리합니다.
만약, 매수 시그널이 발생한 경우 그 위치가 녹색 박스권이라면 시드나 레버리지를 조금 더 추가할 수 있습니다.
위 아래 다이아몬드 3개가 같이 붙어있는 경우에는 단기간 크게 하락/상승했다는 의미이고 이 때 잡는 포지션은 승률이 낮아지지만 높은 손익비의 포지션을 오픈할 수 있습니다.
라벨에 적혀있는 스탑로스와 목표가는 절대적이지 않기 때문에 각자의 매매근거를 참고하셔서 설정하시는 것이 더 좋은 결과를 도출할 수 있습니다.
목표가 두 가지 중 한 가지는 스탑로스와의 거리를 근거로 1:1이상의 손익비를 계산한 값입니다.
남은 한 가지는 역추세가 나올 수 있는 구간에 도달하는 경우에 대한 기술적 근거를 바탕으로 합니다.
스탑로스는 박스권 상단과 하단을 살짝 깨는 스탑헌팅 범위를 고려한 값입니다.
이 지표는 횡보 구간 승률이 높지만 추세가 발생하면 역추세 포지션이 계속 오픈될 수 있기 때문에 연달아 손실을 입을 가능성이 높아집니다.
따라서, 스탑로스가 체결되면 사용중인 프레임의 240배의 시간동안 같은 포지션 진입을 멈추시는 것이 좋습니다.
스탑로스가 체결되면 회색 영역에 닿을 때 반대 방향으로 스위칭을 하시는 것도 좋은 대응이 됩니다.
스탑로스 체결 후 되돌림이 크게 나와서 회색 영역을 바로 돌파하는 경우 라벨이 생성되지 않더라고 녹색/적색 영역에서 추가 포지션 진입을 하면 대부분 본전 이상으로 포지션을 정리할 수 있습니다.
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.
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!
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.
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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.
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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.
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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.
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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.
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.
Average Candle Size (Points)ATR but with the ability to add threshold lines (UP TO 3) that help gauge how volatile the market is. Also, note that the default threshold values are set up for NQ Futures so you will need to change your values to your specific needs.
VWAP Bands with ML [CryptoSea]VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals.
Key Features
Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis.
Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements.
Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions.
Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones.
Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions.
Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups.
In the image below, you can see an example of the bands on higher timeframe showing good mean reversion signal opportunities, these tend to work better in ranging markets rather than strong trending ones.
How It Works
VWAP & ML Integration: The script computes VWAP and applies a machine learning-inspired adjustment using SMA smoothing and volatility-based adaptation.
Forecasting Impact: The 'Forecast' setting shifts the ML output forward in time, allowing for anticipatory trend analysis.
Volatility Scaling (Sigma): Adjusts the ML smoothing sensitivity based on market volatility, providing more responsive or stable trend lines.
Trend Confirmation via Colouring: The VWAP line dynamically switches colour depending on whether it is above or below the ML output.
Multi-Level Band Analysis: Two standard deviation-based bands provide a framework for identifying breakouts, trend reversals, or continuation patterns.
In the example below, we can see some of the most reliable signals where we have mean reversion signals from the band whilst the price is also pulling back into the VWAP, these signals have the additional confluence which can give you a higher probabilty move.
Alerts
Bullish Signal Band 1: Alerts when the price crosses above the lower ML Band 1.
Bearish Signal Band 1: Alerts when the price crosses below the upper ML Band 1.
Bullish Signal Band 2: Alerts when the price crosses above the lower ML Band 2.
Bearish Signal Band 2: Alerts when the price crosses below the upper ML Band 2.
Filtered Bullish Signal: Alerts when a bullish signal is triggered based on the selected signal detection mode.
Filtered Bearish Signal: Alerts when a bearish signal is triggered based on the selected signal detection mode.
Application
Trend & Momentum Analysis: Helps traders identify key market trends and potential momentum shifts.
Dynamic Support & Resistance: Standard deviation bands serve as adaptive price zones for potential breakouts or reversals.
Enhanced Trade Signal Confirmation: The integration of ML smoothing with VWAP provides clearer entry and exit signals.
Customizable Risk Management: Allows users to adjust parameters for fine-tuned signal detection, aligning with their trading strategy.
The VWAP Machine Learning Bands indicator offers traders an innovative tool to improve market entries, recognize potential reversals, and enhance trend analysis with intelligent data-driven signals.
Instantaneous Trendline with Cloud Instantaneous Trendline with Cloud
Introduction & History
The Instantaneous Trendline was introduced by John Ehlers, a well-known figure in the field of technical analysis, particularly for applying digital signal processing concepts to financial markets. Ehlers aimed to create an indicator that reacts to market price changes more quickly than traditional moving averages, yet remains smooth enough to avoid excessive noise. By incorporating concepts from digital filtering, he devised a formula that calculates a trendline with minimal lag—hence the term “instantaneous.”
Purpose
The primary purpose of the Instantaneous Trendline with Cloud is to provide traders and analysts with a responsive, smoothed line that closely follows market price movements. Additionally, this script enhances the visual cues by adding a cloud fill to highlight bullish and bearish zones:
Trend Identification
The ITL (Instantaneous Trendline) is plotted alongside the price. When price consistently stays above the ITL, it may signal an uptrend. Conversely, when price dips below the ITL, it can suggest a downtrend.
Signal Generation
Crossover points between the price and the ITL can serve as potential entry or exit signals. A bullish crossover (price moving above the ITL) often indicates the start of upward momentum, while a bearish crossover (price dropping below the ITL) may point to downward momentum.
Noise Reduction
By applying digital filtering concepts and smoothing through the alpha (smoothing coefficient), the ITL reduces noise while still responding relatively quickly to price changes. Traders can adjust alpha to make the trendline more reactive (higher alpha) or smoother (lower alpha).
Clarity via Cloud Fill
A color-coded cloud between the price and the ITL provides an at-a-glance view of market bias. The green cloud highlights potentially bullish phases, while the red cloud highlights potentially bearish phases.
Experiment with the alpha value (commonly between 0.2 and 0.3) to find a balance that suits your preference for responsiveness versus smoothness.
This indicator implements John Ehlers’ Instantaneous Trendline concept and plots a smoothed trendline (ITL) alongside the price. The trendline is controlled by a user-defined smoothing coefficient (alpha). A higher alpha makes the trendline respond more quickly to price changes, while a lower alpha produces a smoother line.
A color-filled cloud helps traders identify bullish and bearish conditions:
Green cloud if the price is above the ITL (bullish potential).
Red cloud if the price is below the ITL (bearish potential).
Key Benefits
Trend Visualization: Quickly see if the market is in an uptrend or downtrend based on the position of the price relative to the trendline.
Crossover Signals: Identify potential shifts in trend or momentum when the price crosses the ITL.
Customizable Sensitivity: Adjust the alpha parameter to make the ITL more or less reactive to price moves. Use this tool to better visualize short-term trend changes and potential entry/exit signals in conjunction with other technical analysis methods.
Onky's DikFat Supreme Supply and Demand
Onky's DikFat Supreme Supply and Demand (DFAT S&D)
This indicator identifies and marks potential Demand and Supply zones based on sharp price movements and volume spikes. It is designed to assist traders in recognizing areas where price could potentially reverse or move impulsively, based on the concept of supply and demand.
Key Features:
- Dynamic Demand and Supply Zones : The indicator uses historical price data and sharp price movements to detect areas where demand or supply may be concentrated. The zones are drawn as boxes on the chart for visual reference.
- Volume Spike Detection : The zones are only marked when a volume spike occurs, indicating increased market activity and potentially stronger support or resistance at those levels.
- Adjustable Parameters : Traders can adjust the Zone Size to control the lookback period for detecting supply and demand zones, and can fine-tune the Volume Multiplier to control the sensitivity of volume spikes.
- Alerts : Alerts are available for both Demand and Supply zones when they are detected, allowing traders to be notified when price enters or reacts to these areas.
How Traders Use Supply and Demand Zones:
Supply and Demand Theory suggests that prices often move in response to the balance between the amount of supply (selling pressure) and demand (buying pressure) at specific price levels. When demand exceeds supply, prices tend to rise, and when supply exceeds demand, prices tend to fall.
1. Demand Zones : These are areas where price has previously fallen to a low point and buyers have stepped in, pushing prices higher. Traders may view these zones as potential areas for price to reverse upward again.
2. Supply Zones : These are areas where price has risen to a high point and sellers have stepped in, pushing prices lower. Traders may see these zones as potential areas for price to reverse downward again.
Traders use these zones to identify potential entry points (for buying in demand zones or selling in supply zones) and exit points (if price reaches these zones in the future). The volume spike further validates the strength of these zones, as it indicates heightened market interest at those levels.
This indicator offers a flexible, visual way to identify and act upon these market dynamics. It is neutral and does not guarantee any specific outcomes, but it may assist traders in recognizing important price levels where price action could change.
Disclaimer:
This indicator is provided for informational purposes only. It is not intended to be trading advice or a recommendation to buy or sell any financial instruments. Trading involves risk, and the use of this tool does not guarantee any specific results or profits. Past performance is not indicative of future results. Users are responsible for their own decisions and should seek independent financial advice before making any investment decisions.
Donchian Reversal Signals with LabelsOverview:
This indicator is designed to identify potential reversal signals based on price action relative to two Donchian Channels. It plots **"BUY"** and **"SELL"** labels on the chart when specific conditions are met, helping traders spot potential trend reversals.
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Key Features:
1. Dual Donchian Channels:
- The indicator uses two Donchian Channels with user-defined lengths (`length1` and `length2`).
- The upper band of each channel is the highest high over the specified period.
- The lower band of each channel is the lowest low over the specified period.
2. Reversal Signals:
- A yellow "BUY" label appears below a green (bullish) candle if:
- The previous candle is red (bearish).
- The previous red candle touches or breaches either of the lower Donchian Channels.
- A green "SELL" label appears above a red (bearish) candle if:
- The previous candle is green (bullish).
- The previous green candle touches or breaches either of the upper Donchian Channels.
3. Visual Clarity:
- The labels are placed above or below the candles for easy visibility.
- The use of colors (yellow for buy, green for sell) makes it intuitive to interpret the signals.
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How It Works:
1. Donchian Channel Calculation:
- The upper and lower bands of the two Donchian Channels are calculated using the highest high and lowest low over the specified periods (`length1` and `length2`).
2. Candle Color Detection:
- The script identifies whether the current and previous candles are bullish (green) or bearish (red) based on their open and close prices.
3. Signal Conditions:
- For a **"BUY" signal**:
- The current candle must be green.
- The previous candle must be red and touch or breach either of the lower Donchian Channels.
- For a **"SELL" signal**:
- The current candle must be red.
- The previous candle must be green and touch or breach either of the upper Donchian Channels.
4. Label Placement:
- The labels are plotted using `shape.labelup` and `shape.labeldown` for clear visibility.
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Input Parameters:
- **Donchian Channel Length 1 (`length1`)**: The period for the first Donchian Channel (default: 20).
- **Donchian Channel Length 2 (`length2`)**: The period for the second Donchian Channel (default: 34).
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How to Use:
1. Add the indicator to your chart.
2. Adjust the lengths of the Donchian Channels if needed.
3. Look for **"BUY"** and **"SELL"** labels on the chart:
- A **yellow "BUY" label** below a green candle suggests a potential bullish reversal.
- A **green "SELL" label** above a red candle suggests a potential bearish reversal.
4. Use these signals in conjunction with other technical analysis tools for confirmation.
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Example Use Case:
- If the price touches the lower Donchian Channel and forms a red candle, followed by a green candle, a **"BUY" label** will appear, indicating a potential upward reversal.
- If the price touches the upper Donchian Channel and forms a green candle, followed by a red candle, a **"SELL" label** will appear, indicating a potential downward reversal.
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Customization:
- You can modify the lengths of the Donchian Channels to suit your trading style.
- The colors and text of the labels can also be adjusted in the script if desired.
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Disclaimer:
This indicator is designed to assist traders in identifying potential reversal signals. However, it should not be used in isolation. Always confirm signals with additional analysis and risk management strategies.
