Uptrick: Trend SMA Oscillator### In-Depth Analysis of the "Uptrick: Trend SMA Oscillator" Indicator
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#### Introduction to the Indicator
The "Uptrick: Trend SMA Oscillator" is an advanced yet user-friendly technical analysis tool designed to help traders across all levels of experience identify and follow market trends with precision. This indicator builds upon the fundamental principles of the Simple Moving Average (SMA), a cornerstone of technical analysis, to deliver a clear, visually intuitive overlay on the price chart. Through its strategic use of color-coding and customizable parameters, the Uptrick: Trend SMA Oscillator provides traders with actionable insights into market dynamics, enhancing their ability to make informed trading decisions.
#### Core Concepts and Methodology
1. **Foundational Principle – Simple Moving Average (SMA):**
- The Simple Moving Average (SMA) is the heart of the Uptrick: Trend SMA Oscillator. The SMA is a widely-used technical indicator that calculates the average price of an asset over a specified number of periods. By smoothing out price data, the SMA helps to reduce the noise from short-term fluctuations, providing a clearer picture of the overall trend.
- In the Uptrick: Trend SMA Oscillator, two SMAs are employed:
- **Primary SMA (oscValue):** This is applied to the closing price of the asset over a user-defined period (default is 14 periods). This SMA tracks the price closely and is sensitive to changes in market direction.
- **Smoothing SMA (oscV):** This second SMA is applied to the primary SMA, further smoothing the data and helping to filter out minor price movements that might otherwise be mistaken for trend reversals. The default period for this smoothing is 50, but it can be adjusted to suit the trader's preference.
2. **Color-Coding for Trend Visualization:**
- One of the most distinctive features of this indicator is its use of color to represent market trends. The indicator’s line changes color based on the relationship between the primary SMA and the smoothing SMA:
- **Bullish (Green):** The line turns green when the primary SMA is equal to or greater than the smoothing SMA, indicating that the market is in an upward trend.
- **Bearish (Red):** Conversely, the line turns red when the primary SMA falls below the smoothing SMA, signaling a downward trend.
- This color-coded system provides traders with an immediate, easy-to-interpret visual cue about the market’s direction, allowing for quick decision-making.
#### Detailed Explanation of Inputs
1. **Bullish Color (Default: Green #00ff00):**
- This input allows traders to customize the color that represents bullish trends on the chart. The default setting is green, a color commonly associated with upward market movement. However, traders can adjust this to any color that suits their visual preferences or matches their overall chart theme.
2. **Bearish Color (Default: Red RGB: 245, 0, 0):**
- The bearish color input determines the color of the line when the market is trending downwards. The default setting is a vivid red, signaling caution or selling opportunities. Like the bullish color, this can be customized to fit the trader’s needs.
3. **Line Thickness (Default: 5):**
- This setting controls the thickness of the line plotted by the indicator. The default thickness of 5 makes the line prominent on the chart, ensuring that the trend is easily visible even in complex or crowded chart setups. Traders can adjust the thickness to make the line thinner or thicker, depending on their visual preferences.
4. **Primary SMA Period (Value 1 - Default: 14):**
- The primary SMA period defines how many periods (e.g., days, hours) are used to calculate the moving average based on the asset’s closing prices. The default period of 14 is a balanced setting that offers a good mix of responsiveness and stability, but traders can adjust this depending on their trading style:
- **Shorter Periods (e.g., 5-10):** These make the indicator more sensitive, capturing trends more quickly but also increasing the likelihood of reacting to short-term price fluctuations or "noise."
- **Longer Periods (e.g., 20-50):** These smooth the data more, providing a more stable trend line that is less prone to whipsaws but may be slower to respond to trend changes.
5. **Smoothing SMA Period (Value 2 - Default: 50):**
- The smoothing SMA period determines how much the primary SMA is smoothed. A longer smoothing period results in a more gradual, stable line that focuses on the broader trend. The default of 50 is designed to smooth out most of the short-term fluctuations while still being responsive enough to detect significant trend shifts.
- **Customization:**
- **Shorter Smoothing Periods (e.g., 20-30):** Make the indicator more responsive, better for fast-moving markets or for traders who want to capture quick trends.
- **Longer Smoothing Periods (e.g., 70-100):** Enhance stability, ideal for long-term traders looking to avoid reacting to minor price movements.
#### Unique Characteristics and Advantages
1. **Simplicity and Clarity:**
- The Uptrick: Trend SMA Oscillator’s design prioritizes simplicity without sacrificing effectiveness. By relying on the widely understood SMA, it avoids the complexity of more esoteric indicators while still providing reliable trend signals. This simplicity makes it accessible to traders of all levels, from novices who are just learning about technical analysis to experienced traders looking for a straightforward, dependable tool.
2. **Visual Feedback Mechanism:**
- The indicator’s use of color to signify market trends is a particularly powerful feature. This visual feedback mechanism allows traders to assess market conditions at a glance. The clarity of the green and red color scheme reduces the mental effort required to interpret the indicator, freeing the trader to focus on strategy execution.
3. **Adaptability Across Markets and Timeframes:**
- One of the strengths of the Uptrick: Trend SMA Oscillator is its versatility. The basic principles of moving averages apply equally well across different asset classes and timeframes. Whether trading stocks, forex, commodities, or cryptocurrencies, traders can use this indicator to gain insights into market trends.
- **Intraday Trading:** For day traders who operate on short timeframes (e.g., 1-minute, 5-minute charts), the oscillator can be adjusted to be more responsive, capturing quick shifts in momentum.
- **Swing Trading:** Swing traders, who typically hold positions for several days to weeks, will find the default settings or slightly adjusted periods ideal for identifying and riding medium-term trends.
- **Long-Term Trading:** Position traders and investors can adjust the indicator to focus on long-term trends by increasing the periods for both the primary and smoothing SMAs, filtering out minor fluctuations and highlighting sustained market movements.
4. **Minimal Lag:**
- One of the challenges with moving averages is lag—the delay between when the price changes and when the indicator reflects this change. The Uptrick: Trend SMA Oscillator addresses this by allowing traders to adjust the periods to find a balance between responsiveness and stability. While all SMAs inherently have some lag, the customizable nature of this indicator helps traders mitigate this effect to align with their specific trading goals.
5. **Customizable and Intuitive:**
- While many technical indicators come with a fixed set of parameters, the Uptrick: Trend SMA Oscillator is fully customizable, allowing traders to tailor it to their trading style, market conditions, and personal preferences. This makes it a highly flexible tool that can be adjusted as markets evolve or as a trader’s strategy changes over time.
#### Practical Applications for Different Trader Profiles
1. **Day Traders:**
- **Use Case:** Day traders can customize the SMA periods to create a faster, more responsive indicator. This allows them to capture short-term trends and make quick decisions. For example, reducing the primary SMA to 5 and the smoothing SMA to 20 can help day traders react promptly to intraday price movements.
- **Strategy Integration:** Day traders might use the Uptrick: Trend SMA Oscillator in conjunction with volume-based indicators to confirm the strength of a trend before entering or exiting trades.
2. **Swing Traders:**
- **Use Case:** Swing traders can use the default settings or slightly adjust them to smooth out minor price fluctuations while still capturing medium-term trends. This approach helps in identifying the optimal points to enter or exit trades based on the broader market direction.
- **Strategy Integration:** Swing traders can combine this indicator with oscillators like the Relative Strength Index (RSI) to confirm overbought or oversold conditions, thereby refining their entry and exit strategies.
3. **Position Traders:**
- **Use Case:** Position traders, who hold trades for extended periods, can extend the SMA periods to focus on long-term trends. By doing so, they minimize the impact of short-term market noise and focus on the underlying trend.
- **Strategy Integration:** Position traders might use the Uptrick: Trend SMA Oscillator in combination with fundamental analysis. The indicator can help confirm the timing of entries and exits based on broader economic or corporate developments.
4. **Algorithmic and Quantitative Traders:**
- **Use Case:** The simplicity and clear logic of the Uptrick: Trend SMA Oscillator make it an excellent candidate for algorithmic trading strategies. Its binary output—bullish or bearish—can be easily coded into automated trading systems.
- **Strategy Integration:** Quant traders might use the indicator as part of a larger trading system that incorporates multiple indicators and rules, optimizing the SMA periods based on historical backtesting to achieve the best results.
5. **Novice Traders:**
- **Use Case:** Beginners can use the Uptrick: Trend SMA Oscillator to learn the basics of trend-following strategies.
The visual simplicity of the color-coded line helps novice traders quickly understand market direction without the need to interpret complex data.
- **Educational Value:** The indicator serves as an excellent starting point for those new to technical analysis, providing a practical example of how moving averages work in a real-world trading environment.
#### Combining the Indicator with Other Tools
1. **Relative Strength Index (RSI):**
- The RSI is a momentum oscillator that measures the speed and change of price movements. When combined with the Uptrick: Trend SMA Oscillator, traders can look for instances where the RSI shows divergence from the price while the oscillator confirms the trend. This can be a powerful signal of an impending reversal or continuation.
2. **Moving Average Convergence Divergence (MACD):**
- The MACD is another popular trend-following momentum indicator. By using it alongside the Uptrick: Trend SMA Oscillator, traders can confirm the strength of a trend and identify potential entry and exit points with greater confidence. For example, a bullish crossover on the MACD that coincides with the Uptrick: Trend SMA Oscillator turning green can be a strong buy signal.
3. **Volume Indicators:**
- Volume is often considered the fuel behind price movements. Using volume indicators like the On-Balance Volume (OBV) or Volume Weighted Average Price (VWAP) in conjunction with the Uptrick: Trend SMA Oscillator can help traders confirm the validity of a trend. A trend identified by the oscillator that is supported by increasing volume is typically more reliable.
4. **Fibonacci Retracement:**
- Fibonacci retracement levels are used to identify potential reversal levels in a trending market. When the Uptrick: Trend SMA Oscillator indicates a trend, traders can use Fibonacci retracement levels to find potential entry points that align with the broader trend direction.
#### Implementation in Different Market Conditions
1. **Trending Markets:**
- The Uptrick: Trend SMA Oscillator excels in trending markets, where it provides clear signals on the direction of the trend. In a strong uptrend, the line will remain green, helping traders stay in the trade for longer periods. In a downtrend, the red line will signal the continuation of bearish conditions, prompting traders to stay short or avoid long positions.
2. **Sideways or Range-Bound Markets:**
- In range-bound markets, where price oscillates within a confined range without a clear trend, the Uptrick: Trend SMA Oscillator may produce more frequent changes in color. While this could indicate potential reversals at the range boundaries, traders should be cautious of false signals. It may be beneficial to pair the oscillator with a volatility indicator to better navigate such conditions.
3. **Volatile Markets:**
- In highly volatile markets, where prices can swing rapidly, the sensitivity of the Uptrick: Trend SMA Oscillator can be adjusted by modifying the SMA periods. A shorter SMA period might capture quick trends, but traders should be aware of the increased risk of whipsaws. Combining the oscillator with a volatility filter or using it in a higher time frame might help mitigate some of this risk.
#### Final Thoughts
The "Uptrick: Trend SMA Oscillator" is a versatile, easy-to-use indicator that stands out for its simplicity, visual clarity, and adaptability. It provides traders with a straightforward method to identify and follow market trends, using the well-established concept of moving averages. The indicator’s customizable nature makes it suitable for a wide range of trading styles, from day trading to long-term investing, and across various asset classes.
By offering immediate visual feedback through color-coded signals, the Uptrick: Trend SMA Oscillator simplifies the decision-making process, allowing traders to focus on execution rather than interpretation. Whether used on its own or as part of a broader technical analysis toolkit, this indicator has the potential to enhance trading strategies and improve overall performance.
Its accessibility and ease of use make it particularly appealing to novice traders, while its adaptability and reliability ensure that it remains a valuable tool for more experienced market participants. As markets continue to evolve, the Uptrick: Trend SMA Oscillator remains a timeless tool, rooted in the fundamental principles of technical analysis, yet flexible enough to meet the demands of modern trading.
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Swing Trend AnalysisIntroducing the Swing Trend Analyzer: A Powerful Tool for Swing and Positional Trading
The Swing Trend Analyzer is a cutting-edge indicator designed to enhance your swing and positional trading by providing precise entry points based on volatility contraction patterns and other key technical signals. This versatile tool is packed with features that cater to traders of all timeframes, offering flexibility, clarity, and actionable insights.
Key Features:
1. Adaptive Moving Averages:
The Swing Trend Analyzer offers multiple moving averages tailored to the timeframe you are trading on. On the daily chart, you can select up to four different moving average lengths, while all other timeframes provide three moving averages. This flexibility allows you to fine-tune your analysis according to your trading strategy. Disabling a moving average is as simple as setting its value to zero, making it easy to customize the indicator to your needs.
2. Dynamic Moving Average Colors Based on Relative Strength:
This feature allows you to compare the performance of the current ticker against a major index or any symbol of your choice. The moving average will change color based on whether the ticker is outperforming or underperforming the selected index over the chosen period. For example, on a daily chart, if the 21-day moving average turns blue, it indicates that the ticker has outperformed the selected index over the last 21 days. This visual cue helps you quickly identify relative strength, a key factor in successful swing trading.
3. Visual Identification of Price Contractions:
The Swing Trend Analyzer changes the color of price bars to white (on a dark theme) or black (on a light theme) when a contraction in price is detected. Price contractions are highlighted when either of the following conditions is met: a) the current bar is an inside bar, or b) the price range of the current bar is less than the 14-period Average Daily Range (ADR). This feature makes it easier to spot price contractions across all timeframes, which is crucial for timing entries in swing trading.
4. Overhead Supply Detection with Automated Resistance Lines:
The indicator intelligently detects the presence of overhead supply and draws a single resistance line to avoid clutter on the chart. As price breaches the resistance line, the old line is automatically deleted, and a new resistance line is drawn at the appropriate level. This helps you focus on the most relevant resistance levels, reducing noise and improving decision-making.
5. Buyable Gap Up Marker: The indicator highlights bars in blue when a candle opens with a gap that remains unfilled. These bars are potential Buyable Gap Up (BGU) candidates, signaling opportunities for long-side entries.
6. Comprehensive Swing Trading Information Table:
The indicator includes a detailed table that provides essential data for swing trading:
a. Sector and Industry Information: Understand the sector and industry of the ticker to identify stocks within strong sectors.
b. Key Moving Averages Distances (10MA, 21MA, 50MA, 200MA): Quickly assess how far the current price is from key moving averages. The color coding indicates whether the price is near or far from these averages, offering vital visual cues.
c. Price Range Analysis: Compare the current bar's price range with the previous bar's range to spot contraction patterns.
d. ADR (20, 10, 5): Displays the Average Daily Range over the last 20, 10, and 5 periods, crucial for identifying contraction patterns. On the weekly chart, the ADR continues to provide daily chart information.
e. 52-Week High/Low Data: Shows how close the stock is to its 52-week high or low, with color coding to highlight proximity, aiding in the identification of potential breakout or breakdown candidates.
f. 3-Month Price Gain: See the price gain over the last three months, which helps identify stocks with recent momentum.
7. Pocket Pivot Detection with Visual Markers:
Pocket pivots are a powerful bullish signal, especially relevant for swing trading. Pocket pivots are crucial for swing trading and are effective across all timeframes. The indicator marks pocket pivots with circular markers below the price bar:
a. 10-Day Pocket Pivot: Identified when the volume exceeds the maximum selling volume of the last 10 days. These are marked with a blue circle.
b. 5-Day Pocket Pivot: Identified when the volume exceeds the maximum selling volume of the last 5 days. These are marked with a green circle.
The Swing Trend Analyzer is designed to provide traders with the tools they need to succeed in swing and positional trading. Whether you're looking for precise entry points, analyzing relative strength, or identifying key price contractions, this indicator has you covered. Experience the power of advanced technical analysis with the Swing Trend Analyzer and take your trading to the next level.
Modern Trend IdentifierThis is an update by Lightangel112 to Trendilo (Open-Source).
Thanks @ Lightangel112
The Modern Trend Identifier (MTI) is a sophisticated technical analysis tool designed for traders and analysts seeking to accurately determine market trends. This indicator leverages the Arnaud Legoux Moving Average (ALMA) to smooth price data and calculate percentage changes, providing a clearer and more responsive trend analysis. MTI is engineered to highlight trend direction with visual cues, fill areas between the indicator and its bands, and color bars based on trend direction, making it a powerful tool for identifying market momentum and potential reversals.
Capabilities
Smoothing and Trend Calculation:
Utilizes ALMA to smooth price data, reducing noise and providing a clearer view of the trend.
Calculates percentage changes in price over a user-defined lookback period.
Dynamic Range Adjustment:
Normalizes the ALMA percentage change values to ensure they stay within a -100 to 100 range.
Uses a combination of linear and smoothstep compression to handle extreme values without losing sensitivity.
Trend Direction and Highlighting:
Determines the trend direction based on the relationship between the smoothed ALMA percentage change and dynamically adjusted RMS (Root Mean Square) bands.
Colors the trend line to visually indicate whether the market is in an uptrend, downtrend, or neutral state.
Dynamic Threshold Calculation:
Calculates dynamic thresholds using percentile ranks to adapt to changing market conditions.
Visualization Enhancements:
Fills areas between the ALMA percentage change line and its RMS bands to provide a clear visual indication of the trend strength.
Offers the option to color price bars based on the identified trend direction.
Customizable Settings:
Provides extensive customization options for lookback periods, smoothing parameters, ALMA settings, band multipliers, and more.
Allows users to enable or disable various visual enhancements and customize their appearance.
Use Cases
Trend Identification:
MTI helps traders identify the current market trend, whether it's bullish, bearish, or neutral. This can be particularly useful for trend-following strategies.
Momentum Analysis:
By highlighting areas of strong momentum, MTI enables traders to spot potential breakouts or breakdowns. This can be useful for both entry and exit decisions.
Support and Resistance Levels:
The dynamic threshold bands can act as support and resistance levels. Traders can use these levels to set stop-loss and take-profit orders.
Divergence Detection:
MTI can help in identifying divergences between price and the indicator, which can signal potential trend reversals. This is useful for traders looking to capitalize on trend changes.
Risk Management:
The fill areas and colored bars provide clear visual cues about trend strength and direction, aiding in better risk management. Traders can adjust their positions based on the strength of the trend.
Backtesting:
The extensive customization options allow traders to backtest different settings and parameters to optimize their trading strategies for various market conditions.
Multiple Timeframes:
MTI can be applied to multiple timeframes, from intraday charts to daily, weekly, or monthly charts, making it a versatile tool for traders with different trading styles.
Example Scenarios
Day Trading:
A day trader can use MTI on a 5-minute chart to identify intraday trends. By adjusting the lookback period and smoothing parameters, the trader can quickly spot potential entry and exit points based on short-term momentum changes.
Swing Trading:
A swing trader might apply MTI to a 4-hour chart to identify medium-term trends. The dynamic thresholds can help in setting appropriate stop-loss levels, while the trend direction highlighting aids in making informed decisions about holding or exiting positions.
Position Trading:
For a position trader using a daily chart, MTI can help identify the overarching trend. The trader can use the fill areas and bar coloring to assess the strength of the trend and make decisions about entering or exiting long-term positions.
Market Analysis:
An analyst could use MTI to study historical price movements and identify patterns. By examining how the indicator reacted to past market conditions, the analyst can gain insights into potential future price movements.
In summary, the Modern Trend Identifier (MTI) is a versatile and powerful tool that enhances trend analysis with advanced smoothing techniques, dynamic adjustments, and comprehensive visual cues. It is designed to meet the needs of traders and analysts across various trading styles and timeframes, providing clear and actionable insights into market trends and momentum.
Updated with the following:
Additions and Enhancements in MTI
Grouped Inputs with Descriptive Tooltips:
Inputs are organized into groups for better clarity.
Each input parameter includes a descriptive tooltip.
Dynamic Threshold Calculation:
Added dynamic threshold calculation using percentile ranks to adapt to changing market conditions.
Normalization and Compression:
Added normalization factor to ensure plots are within -100 to 100 range.
Introduced smoothstep function for smooth transition and selectively applied linear and smoothstep compression to values outside -80 to 100 range.
Enhanced Visualization:
Highlighted trend direction with RGB colors.
Enhanced fill areas between the ALMA percentage change line and its RMS bands.
Colored price bars based on the identified trend direction.
RMS Lines Adjustment:
Dynamically adjusted RMS calculation without strict capping.
Ensured RMS lines stay below fill areas to maintain clarity.
Descriptive and Organized Code:
Enhanced code clarity with detailed comments.
Organized code into logical sections for better readability and maintenance.
Key Differences and Improvements.
Input Customization:
Trendilo: Inputs are simple and ungrouped.
MTI: Inputs are grouped and include tooltips for better user guidance.
Trend Calculation:
Trendilo: Uses ALMA and calculates percentage change.
MTI: Enhanced with normalization, compression, and dynamic threshold calculation.
Normalization and Compression:
Trendilo: No normalization or compression applied.
MTI: Normalizes values to -100 to 100 range and applies smoothstep compression to handle extreme values.
Dynamic RMS Adjustment:
Trendilo: Simple RMS calculation.
MTI: Dynamically adjusted RMS calculation to ensure clarity in visualization.
Visual Enhancements:
Trendilo: Basic trend highlighting and filling.
MTI: Enhanced visual cues with RGB colors, dynamic threshold bands, and improved fill areas.
Code Clarity:
Trendilo: Functional but lacks detailed comments and organization.
MTI: Well-organized, extensively commented code for better readability and maintainability.
Weekly Open to Close Percentage ChangeThe "Weekly Open to Close Percentage Change Indicator" is a powerful tool designed to help traders and investors track the percentage change in price from the open of the current week's candle to its close. This indicator provides a clear visualization of how the price has moved within the week, offering valuable insights into weekly market trends and momentum.
Key Features:
Weekly Analysis: Focuses on weekly time frames, making it ideal for swing traders and long-term investors.
Percentage Change Calculation: Accurately calculates the percentage change from the open price of the current week's candle to the close price.
Color-Coded Visualization: Uses color coding to differentiate between positive and negative changes:
Green for positive percentage changes (price increase).
Red for negative percentage changes (price decrease).
Histogram Display: Plots the percentage change as a histogram for easy visual interpretation.
Background Highlighting: Adds a background color with transparency to highlight the nature of the change, enhancing chart readability.
Optional Labels: Includes an option to display percentage change values as small dots at the top for quick reference.
How to Use:
Add the script to your TradingView chart by opening the Pine Editor, pasting the script, and saving it.
Apply the indicator to your chart. It will automatically calculate and display the weekly percentage change.
Use the color-coded histogram and background to quickly assess weekly price movements and make informed trading decisions.
Use Cases:
Trend Identification: Quickly identify whether the market is trending upwards or downwards on a weekly basis.
Market Sentiment: Gauge the market sentiment by observing the weekly price changes.
Swing Trading: Ideal for swing traders who base their strategies on weekly price movements.
Note: This indicator is designed for educational and informational purposes. Always conduct thorough analysis and consider multiple indicators and factors when making trading decisions.
Adaptive Moving Average (AMA) Signals (Zeiierman)█ Overview
The Adaptive Moving Average (AMA) Signals indicator, enhances the classic concept of moving averages by making them adaptive to the market's volatility. This adaptability makes the AMA particularly useful in identifying market trends with varying degrees of volatility.
The core of the AMA's adaptability lies in its Efficiency Ratio (ER), which measures the directionality of the market over a given period. The ER is calculated by dividing the absolute change in price over a period by the sum of the absolute differences in daily prices over the same period.
⚪ Why It's Useful
The AMA Signals indicator is particularly useful because of its adaptability to changing market conditions. Unlike static moving averages, it dynamically adjusts, providing more relevant signals that can help traders capture trends earlier or identify reversals with greater accuracy. Its configurability makes it suitable for various trading strategies and timeframes, from day trading to swing trading.
█ How It Works
The AMA Signals indicator operates on the principle of adapting to market efficiency through the calculation of the Efficiency Ratio (ER), which measures the directionality of the market over a specified period. By comparing the net price change to total price movements, the AMA adjusts its sensitivity, becoming faster during trending markets and slower during sideways markets. This adaptability is enhanced by a gamma parameter that filters signals for either trend continuation or reversal, making it versatile across different market conditions.
change = math.abs(close - close )
volatility = math.sum(math.abs(close - close ), n)
ER = change / volatility
Efficiency Ratio (ER) Calculation: The AMA begins with the computation of the Efficiency Ratio (ER), which measures the market's directionality over a specified period. The ER is a ratio of the net price change to the total price movements, serving as a measure of the efficiency of price movements.
Adaptive Smoothing: Based on the ER, the indicator calculates the smoothing constants for the fastest and slowest Exponential Moving Averages (EMAs). These constants are then used to compute a Scaled Smoothing Coefficient (SC) that adapts the moving average to the market's efficiency, making it faster during trending periods and slower in sideways markets.
Signal Generation: The AMA applies a filter, adjusted by a "gamma" parameter, to identify trading signals. This gamma influences the sensitivity towards trend or reversal signals, with options to adjust for focusing on either trend-following or counter-trend signals.
█ How to Use
Trend Identification: Use the AMA to identify the direction of the trend. An upward moving AMA indicates a bullish trend, while a downward moving AMA suggests a bearish trend.
Trend Trading: Look for buy signals when the AMA is trending upwards and sell signals during a downward trend. Adjust the fast and slow EMA lengths to match the desired sensitivity and timeframe.
Reversal Trading: Set the gamma to a positive value to focus on reversal signals, identifying potential market turnarounds.
█ Settings
Period for ER calculation: Defines the lookback period for calculating the Efficiency Ratio, affecting how quickly the AMA responds to changes in market efficiency.
Fast EMA Length and Slow EMA Length: Determine the responsiveness of the AMA to recent price changes, allowing traders to fine-tune the indicator to their trading style.
Signal Gamma: Adjusts the sensitivity of the filter applied to the AMA, with the ability to focus on trend signals or reversal signals based on its value.
AMA Candles: An innovative feature that plots candles based on the AMA calculation, providing visual cues about the market trend and potential reversals.
█ Alerts
The AMA Signals indicator includes configurable alerts for buy and sell signals, as well as positive and negative trend changes.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Candlestick Bias OscillatorCandlestick Bias Oscillator (CBO)
The Candlestick Bias Oscillator (CBO) with Signal Line is a pioneering indicator developed for the TradingView platform, designed to offer traders a nuanced analysis of market sentiment through the unique lens of candlestick patterns. This indicator stands out by merging traditional concepts of price action analysis with innovative mathematical computations, providing a fresh perspective on trend detection and potential market reversals.
Originality and Utility
At the core of the CBO's originality is its method of calculating the bias of candlesticks. Unlike conventional oscillators that may rely solely on closing prices or high-low ranges, the CBO incorporates both the body and wick of candlesticks into its analysis. This dual consideration allows for a more rounded understanding of market sentiment, capturing both the directional momentum and the strength of price rejections within a single oscillator.
Mathematical Foundations
1. Body Bias: The CBO calculates the body bias by assessing the relative position of the close to the open within the day's range, scaled to a -100 to 100 range. This calculation reflects the bullish or bearish sentiment of the market, based on the day's closing momentum.
Body Bias = (Close−Open)/(High−Low) x 100
Wick Bias: Similarly, the wick bias calculation takes into account the lengths of the upper and lower wicks, indicating rejection levels beyond the body's close. The balance between these wicks is scaled similarly to the body bias, offering insight into the market's indecision or rejection of certain price levels.
Wick Bias=(Lower Wick−Upper Wick)/(Total Wick Length) × 100
3. Overall Bias and Oscillator: By averaging the body and wick biases, the CBO yields an overall bias score, which is then smoothed over a user-defined period to create the oscillator. This oscillator provides a clear visual representation of the market's underlying sentiment, smoothed to filter out the noise.
4. Signal Line: A secondary smoothing of the oscillator creates the signal line, offering a trigger for potential trading signals when the oscillator crosses this line, indicative of a change in market momentum.
How to Use the CBO:
The CBO is versatile, suitable for various trading strategies, including scalping, swing trading, and long-term trend following. Traders can use the oscillator and signal line crossovers as indications for entry or exit points. The relative position of the oscillator to the zero line further provides insight into the prevailing market bias, enabling traders to align their strategies with the broader market sentiment.
Why It Adds Value:
The CBO's innovative approach to analyzing candlestick patterns fills a gap in the existing array of TradingView indicators. By providing a detailed analysis of both candle bodies and wicks, the CBO offers a more comprehensive view of market sentiment than traditional oscillators. This can be particularly useful for traders looking to gauge the strength of price movements and potential reversal points with greater precision.
Conclusion:
The Candle Bias Oscillator with Signal Line is not just another addition to the plethora of indicators on TradingView. It represents a significant advancement in the analysis of market sentiment, combining traditional concepts with a novel mathematical approach. By offering a deeper insight into the dynamics of candlestick patterns, the CBO equips traders with a powerful tool to navigate the complexities of the market with increased confidence.
Explore the unique insights provided by the CBO and integrate it into your trading strategy for a more informed and nuanced market analysis.
Bollinger Bands & Fibonacci StrategyThe Bollinger Bands & Fibonacci Strategy is a powerful technical analysis trading strategy designed to identify potential entry and exit points in financial markets. This strategy combines two widely used indicators, Bollinger Bands and Fibonacci retracement levels, to assist traders in making informed trading decisions.
Key Features:
Bollinger Bands: This strategy utilizes Bollinger Bands, a volatility-based indicator that consists of an upper band, a lower band, and a middle (basis) line. Bollinger Bands help traders visualize price volatility and potential reversal points.
Fibonacci Retracement Levels: Fibonacci retracement levels are essential tools for identifying potential support and resistance levels in price charts. This strategy incorporates Fibonacci retracement levels, including the 0% and 100% levels, to aid in pinpointing key price levels.
Long and Short Signals: The strategy generates long (buy) and short (sell) signals based on specific conditions derived from Bollinger Bands and Fibonacci levels. Long signals are generated when price crosses above the upper Bollinger Band and when the price is above the Fibonacci low level. Short signals are generated when price crosses below the lower Bollinger Band and when the price is below the Fibonacci high level.
Position Management: To prevent multiple concurrent positions of the same type (long or short), the strategy employs position management logic. It tracks open positions and ensures that only one position type is active at a time.
Exit Conditions: The strategy includes customizable exit conditions to manage and close open positions. Traders can fine-tune exit criteria to align with their risk management and profit-taking strategies.
User-Friendly: This strategy script is user-friendly and can be easily integrated into the TradingView platform, allowing traders to apply it to various financial instruments and timeframes.
Usage:
Traders and investors can apply the Bollinger Bands & Fibonacci Strategy to a wide range of financial markets, including stocks, forex, commodities, and cryptocurrencies. It can be adapted to different timeframes to suit various trading styles, from day trading to swing trading.
Disclaimer:
Trading carries inherent risks, and this strategy is no exception. It is essential to use proper risk management techniques, including stop-loss orders, and thoroughly backtest the strategy on historical data before implementing it in live trading.
The Bollinger Bands & Fibonacci Strategy is a valuable tool for technical traders seeking well-defined entry and exit points based on robust indicators. It can serve as a foundation for traders to build and customize their trading strategies according to their individual preferences and risk tolerance.
Feel free to customize this description to add any additional details or specifications unique to your strategy. When publishing your strategy on a trading platform like TradingView, a clear and informative description can help potential users understand and use your strategy effectively.
W and M Pattern Indicator- SwaGThis is a TradingView indicator script that identifies potential buy and sell signals based on ‘W’ and ‘M’ patterns in the Relative Strength Index (RSI). It provides visual alerts and draws horizontal lines to indicate potential trade entry points.
User Manual:
Inputs: The script takes two inputs - an upper limit and a lower limit. The default values are 70 and 40, respectively.
RSI Calculation: The script calculates the RSI based on the closing prices of the last 14 periods.
Pattern Identification: It identifies ‘W’ patterns when the RSI makes a higher low within the lower limit, and ‘M’ patterns when the RSI makes a lower high within the upper limit.
Visual Alerts: The script plots these patterns on the chart. ‘W’ patterns are marked with small green triangles below the bars, and ‘M’ patterns are marked with small red triangles above the bars.
Trade Entry Points: A horizontal line is drawn at the high or low of the candle to represent potential trade entry points. The line starts from one bar to the left and extends 10 bars to the right.
Trading Strategy:
For investing, use a weekly timeframe.
For swing trading, use a daily timeframe.
For intraday trading, use a 5 or 15-minute timeframe. Only consider sell-side signals for intraday trading.
Take a buy position if the high breaks above the green line or sell if the low breaks below the red line.
Use recent signals only and avoid signals that are too old.
Swing highs or lows will be your stop-loss level.
Always think about your stop-loss before entering a trade, not your target.
Avoid trades with a large stop-loss.
Remember, this script is a tool to aid in your trading decisions. Always test your strategies thoroughly before live trading. Happy trading! 😊
Moving Average Filters Add-on w/ Expanded Source Types [Loxx]Moving Average Filters Add-on w/ Expanded Source Types is a conglomeration of specialized and traditional moving averages that will be used in most of indicators that I publish moving forward. There are 39 moving averages included in this indicator as well as expanded source types including traditional Heiken Ashi and Better Heiken Ashi candles. You can read about the expanded source types clicking here . About half of these moving averages are closed source on other trading platforms. This indicator serves as a reference point for future public/private, open/closed source indicators that I publish to TradingView. Information about these moving averages was gleaned from various forex and trading forums and platforms as well as TASC publications and other assorted research publications.
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Included moving averages
ADXvma - Average Directional Volatility Moving Average
Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator.
The ADXvma has the SMA in Chande's CMO replaced with an EMA, it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated.
A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA.
The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move.
Ahrens Moving Average
Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows.
Alexander Moving Average - ALXMA
This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile.
Double Exponential Moving Average - DEMA
The Double Exponential Moving Average (DEMA) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag.
Double Smoothed Exponential Moving Average - DSEMA
The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA. It's also considered a leading indicator compared to the EMA, and is best utilized whenever smoothness and speed of reaction to market changes are required.
Exponential Moving Average - EMA
The EMA places more significance on recent data points and moves closer to price than the SMA (Simple Moving Average). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA.
Fast Exponential Moving Average - FEMA
An Exponential Moving Average with a short look-back period.
Fractal Adaptive Moving Average - FRAMA
The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry.
Hull Moving Average - HMA
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points.
IE/2 - Early T3 by Tim Tilson
The IE/2 is a Moving Average that uses Linear Regression slope in its calculation to help with smoothing. It's a worthy Moving Average on it's own, even though it is the precursor and very early version of the famous "T3 Indicator".
Integral of Linear Regression Slope - ILRS
A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA (Simple Moving Average) of length N, which is actually the midpoint of the linear regression line as it moves across the data.
Instantaneous Trendline
The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading.
Laguerre Filter
The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation.
Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness.
Leader Exponential Moving Average
The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter.
Linear Regression Value - LSMA (Least Squares Moving Average)
LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down.
Linear Weighted Moving Average - LWMA
LWMA reacts to price quicker than the SMA and EMA. Although it's similar to the Simple Moving Average, the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion.
McGinley Dynamic
John McGinley created this Moving Average to track price better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
McNicholl EMA
Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws.
Non lag moving average
The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals.
Parabolic Weighted Moving Average
The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average. The Linear Weighted Moving Average calculates the average by assigning different weight to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator.
Recursive Moving Trendline
Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrows price.
Simple Moving Average - SMA
The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA.
Sine Weighted Moving Average
The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average).
Smoothed Moving Average - SMMA
The Smoothed Moving Average is similar to the Simple Moving Average (SMA), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen a an accurate yet laggy Moving Average.
Smoother
The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA (Smoothed Moving Average). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm.
Super Smoother
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a a Two pole Butterworth filter combined with a 2-bar SMA (Simple Moving Average) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.
Three pole Ehlers Butterworth
The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA. They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing.
Three pole Ehlers smoother
The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth.
Triangular Moving Average - TMA
The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data.
The TMA and Sine Weighted Moving Average Filter are almost identical at times.
Triple Exponential Moving Average - TEMA
The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, it's signals are considered very noisy and should only be used in extremely fast-paced trading conditions.
Two pole Ehlers Butterworth
The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded.
Two pole Ehlers smoother
A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers.
Volume Weighted EMA - VEMA
Utilizing tick volume in MT4 (or real volume in MT5), this EMA will use the Volume reading in its decision to plot its moves. The more Volume it detects on a move, the more authority (confirmation) it has. And this EMA uses those Volume readings to plot its movements.
Studies show that tick volume and real volume have a very strong correlation, so using this filter in MT4 or MT5 produces very similar results and readings.
Zero Lag DEMA - Zero Lag Double Exponential Moving Average
John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence.
Zero Lag Moving Average
The Zero Lag Moving Average is described by its creator, John Ehlers, as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average.
Zero Lag TEMA - Zero Lag Triple Exponential Moving Average
Just like the Zero Lag DEMA, this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators.
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What are Heiken Ashi "better" candles?
The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.)
They proposed to use the following:
(Open+Close)/2+(((Close-Open)/( High-Low ))*ABS((Close-Open)/2))
instead of using :
haClose = (O+H+L+C)/4
According to that document the HA representation using their proposed formula is better than the traditional formula.
What are traditional Heiken-Ashi candles?
The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise.
Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data.
Expanded generic source types:
Close = close
Open = open
High = high
Low = low
Median = hl2
Typical = hlc3
Weighted = hlcc4
Average = ohlc4
Average Median Body = (open+close)/2
Trend Biased = (see code, too complex to explain here)
Trend Biased (extreme) = (see code, too complex to explain here)
Included:
-Toggle bar color on/off
-Toggle signal line on/off
[blackcat] L2 Ehlers Fisherized Deviation Scaled OscillatorLevel: 2
Background
John F. Ehlers introuced Fisherized Deviation Scaled Oscillator in Oct, 2018.
Function
In “Probability—Probably A Good Thing To Know,” John Ehlers introduces a procedure for measuring an indicator’s probability distribution to determine if it can be used as part of a reversion-to-the-mean trading strategy. Dr. Ehlers demonstrates this method with several of his existing indicators and presents a new indicator that he calls a deviation-scaled oscillator with Fisher transform. It charts the probability density of an oscillator to evaluate its applicability to swing trading.
Key Signal
FisherFilt --> Ehlers Fisherized Deviation Scaled Oscillator fast line
Trigger --> Ehlers Fisherized Deviation Scaled Oscillator slow line
Pros and Cons
100% John F. Ehlers definition translation, even variable names are the same. This help readers who would like to use pine to read his book.
Remarks
The 91th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Simulateur Carnet d'Ordres & Liquidité [Sese] - Custom🔹 Indicator Name
Order Book & Liquidity Simulator - Custom
🔹 Concept and Functionality
This indicator is a technical analysis tool designed to visually simulate market depth (Order Book) and potential liquidity zones.
It is important to adhere to TradingView's transparency rules: This script does not access real Level 2 data (the actual exchange order book). Instead, it uses a deductive algorithm based on historical Price Action to estimate where Buy Limit (Bid) and Sell Limit (Ask) orders might be resting.
Methodology used by the script:
Pivot Detection: The indicator scans for significant Swing Highs and Swing Lows over a user-defined lookback period (Length).
Level Projection: These pivots are projected to the right as horizontal lines.
Red Lines (Ask): Represent potential resistance zones (sellers).
Blue Lines (Bid): Represent potential support zones (buyers).
Liquidity Management (Absorption): The script is dynamic. If the current price crosses a line, the indicator assumes the liquidity at that level has been consumed (orders filled). The line is then automatically deleted from the chart.
Density Profile (Right Side): Horizontal bars appear to the right of the current price. These approximate a "Time Price Opportunity" or Volume Profile, showing where the market has spent the most time recently.
🔹 User Manual (Settings)
Here is how to configure the inputs to match your trading style:
1. Detection Algorithm
Lookback Length (Candles): Determines the sensitivity of the pivots.
Low value (e.g., 10): Shows many lines (scalping/short term).
High value (e.g., 50): Shows only major structural levels (swing trading).
Volume Factor: (Technical note: In this specific code version, this variable is calculated but the lines are primarily drawn based on geometric pivots).
2. Visual Settings
Show Price Lines (Bid/Ask): Toggles the horizontal Support/Resistance lines on or off.
Show Volume Profile: Toggles the heatmap-style bars on the right side of the chart.
Extend Lines: If checked, untouched lines will extend to the right towards the current price bar.
3. Colors and Transparency Management
Customize the aesthetics to keep your chart clean:
Bid / Ask Colors: Choose your base colors (Default is Blue and Red).
Line Transparency (%): Crucial for chart visibility.
0% = Solid, bright colors.
80-90% = Very subtle, faint lines (recommended if you overlay this on other tools).
Text Size: Adjusts the size of the price labels ("BUY LIMIT" / "SELL LIMIT").
🔹 How to Read the Indicator
Rejections: Unbroken lines act as potential walls. Watch for price reaction when approaching a blue line (support) or red line (resistance).
Breakouts/Absorption: When a line disappears, it means the level has been breached. The market may then seek the next liquidity level (the next line).
Density (Right-side boxes): More opaque/visible boxes indicate a price zone "accepted" by the market (consolidation). Empty gaps suggest an imbalance where price might move through quickly.
⚠️ Disclaimer
This script is for educational and technical analysis purposes only. It is a simulation based on price history, not real-time order book data. Past performance is not indicative of future results. Trading involves risk.
VCP Base Detector
📊 VCP BASE DETECTOR - AUTO-DETECT CONSOLIDATION ZONES
🎯 WHAT IS THIS INDICATOR?
This indicator automatically detects and marks ALL consolidation bases (VCP bases) on your chart. It:
✅ Auto-detects when price enters consolidation
✅ Measures base tightness (volatility contraction)
✅ Tracks base duration (how long consolidating)
✅ Rates base quality (1-5 stars)
✅ Shows volume drying confirmation
✅ Detects base breakouts
✅ Shows progression of multiple bases (VCP pattern)
Use this WITH the "Mark Minervini SEPA Balanced" indicator for complete trading setups!
✅ Mark Minervini SEPA Balanced = Trend + RS + Stage
✅ VCP Base Detector = Base Quality + Progression
Combined = Complete professional trading system!
🎨 WHAT YOU SEE ON YOUR CHART
1️⃣ COLORED BOXES (Base Zones):
🟦 Aqua Box = ⭐⭐⭐⭐⭐ Excellent base (tightest)
🔵 Blue Box = ⭐⭐⭐⭐ Very good base
🟣 Purple Box = ⭐⭐⭐ Good base
🟠 Orange Box = ⭐⭐ Fair base
⬜ Gray Box = ⭐ Weak base
2️⃣ BASE LABELS (With Metrics):
Shows above each base:
• Duration: 20 days
• Tightness: 0.9%
• Quality: ⭐⭐⭐⭐⭐
3️⃣ BREAKOUT LABELS (When price exits base):
Green "BREAKOUT ✓" label shows:
• Price: ₹800
• Volume: 1.6x
4️⃣ DASHBOARD (Top-Left Panel):
Real-time base metrics showing:
• In Base: YES/NO
• Tightness: 0.8%
• Duration: 22 days
• Range: 3.5%
• Volume: Drying/Normal
• Quality: ⭐⭐⭐⭐
📊 UNDERSTANDING BASE QUALITY (⭐ Rating System)
⭐⭐⭐⭐⭐ (EXCELLENT)
├─ Tightness: < 0.8% ATR
├─ Duration: 15-40 days
├─ Volume: Significantly drying
├─ Price Range: < 5%
└─ Result: Most explosive breakouts (best quality)
⭐⭐⭐⭐ (VERY GOOD)
├─ Tightness: 0.8-1.0% ATR
├─ Duration: 15-35 days
├─ Volume: Very dry
├─ Price Range: < 7%
└─ Result: High probability breakouts
⭐⭐⭐ (GOOD)
├─ Tightness: 1.0-1.3% ATR
├─ Duration: 15-30 days
├─ Volume: Drying
├─ Price Range: < 8%
└─ Result: Decent breakout probability
⭐⭐ (FAIR)
├─ Tightness: 1.3-1.5% ATR
├─ Duration: 15-25 days
├─ Volume: Moderate drying
├─ Price Range: < 10%
└─ Result: Lower quality, riskier
⭐ (WEAK)
├─ Tightness: > 1.5% ATR
├─ Duration: Varies
├─ Volume: Not drying enough
├─ Price Range: > 10%
└─ Result: Low quality, skip these
📈 HOW TO USE - STEP BY STEP
STEP 1: ADD INDICATOR TO CHART
────────────────────────────────
1. Open any stock chart (use 1D timeframe for swing trading)
2. Click "Indicators"
3. Search "VCP Base Detector"
4. Click to add to chart
5. Wait a moment for boxes to appear
STEP 2: SCAN FOR BASES
───────────────────────
Look for:
✓ Colored boxes appearing on chart (bases forming)
✓ Dashboard showing "In Base: YES"
✓ Tightness below 1.5%
✓ Volume Dry: YES
STEP 3: MONITOR BASE QUALITY
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Dashboard shows stars:
⭐⭐⭐⭐⭐ = Wait for breakout (best setup)
⭐⭐⭐⭐ = Good quality, watch for breakout
⭐⭐⭐ = Decent, but not ideal
⭐⭐ or ⭐ = Skip (lower probability)
STEP 4: WAIT FOR BREAKOUT
──────────────────────────
When price breaks above the box:
✓ Green "BREAKOUT ✓" label appears
✓ Shows breakout price and volume
✓ If volume shows 1.3x+, breakout is confirmed
✓ This is your entry signal!
STEP 5: CHECK MINERVINI CRITERIA (Use Both Indicators)
───────────────────────────────────────────────────────
Before entering:
✓ VCP Base Detector shows ⭐⭐⭐⭐+ quality base
✓ Mark Minervini indicator shows BUY SIGNAL
✓ Dashboard shows 10+ criteria GREEN
✓ Stage shows S2
Result: HIGH-PROBABILITY SETUP! 🎯
📋 DASHBOARD INDICATORS - WHAT EACH MEANS
BASE METRICS SECTION:
─────────────────────
In Base = ✓ YES or ✗ NO
Show if price is currently consolidating
Tightness = 0-3% (lower = tighter = better)
< 0.8% = ⭐⭐⭐⭐⭐ (excellent)
0.8-1.0% = ⭐⭐⭐⭐ (very good)
1.0-1.3% = ⭐⭐⭐ (good)
1.3-1.5% = ⭐⭐ (fair)
> 1.5% = ⭐ (weak)
Duration = Number of days in consolidation
15 days = ⭐ (too short, weak)
20 days = ⭐⭐⭐ (ideal)
30 days = ⭐⭐⭐⭐ (very long, strong)
> 40 days = ⚠️ (too long, may break down)
Range = % movement within the base
< 5% = ⭐⭐⭐⭐⭐ (excellent, very tight)
5-8% = ⭐⭐⭐ (good)
> 10% = ⭐ (loose, not ideal)
Vol Dry = Volume status during consolidation
✓ YES = Volume contracting (good)
✗ NO = Normal/high volume (weak setup)
QUALITY SECTION:
────────────────
Stars = Overall base quality rating
⭐⭐⭐⭐⭐ = Best quality bases (most explosive)
⭐⭐⭐⭐ = Excellent quality
⭐⭐⭐ = Good quality
⭐⭐ = Fair quality
⭐ = Weak quality (skip)
52W INFO SECTION:
─────────────────
From 52W Hi = How far below 52-week high is price?
< 25% = In sweet zone ✓
> 25% = Too far from highs ✗
From 52W Lo = How far above 52-week low is price?
> 30% = In sweet zone ✓
< 30% = Too close to lows ✗
⚙️ CUSTOMIZATION GUIDE
Click ⚙️ gear icon next to indicator to adjust:
MINIMUM BASE DAYS (Default: 15)
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Current: 15 = Include shorter bases
Change to 20 = Longer bases only (higher quality)
Change to 10 = Include very short bases (more frequent)
Why: Longer bases = better breakouts, but fewer opportunities
ATR% TIGHTNESS THRESHOLD (Default: 1.5)
────────────────────────────────────────
Current: 1.5 = BALANCED for Indian stocks
Change to 1.0 = ONLY very tight bases (⭐⭐⭐⭐⭐)
Change to 2.0 = Looser bases included (more frequent)
Why: Lower = tighter bases = better quality, fewer signals
VOLUME DRYING THRESHOLD (Default: 0.7)
──────────────────────────────────────
Current: 0.7 = Volume at 70% of average (good drying)
Change to 0.6 = Stricter (more volume drying required)
Change to 0.8 = Looser (less volume drying required)
Why: Volume drying = consolidation confirmation
52W PERIOD (Default: 252)
─────────────────────────
Current: 252 = Full year lookback
Don't change unless you know what you're doing
📈 REAL TRADING EXAMPLE
SCENARIO: Trading MARUTI over 6 weeks
WEEK 1: Nothing happening
─────────────────────────
- No boxes on chart
- Dashboard: "In Base: NO"
- Action: SKIP (not consolidating)
WEEK 2: Base Starting to Form
─────────────────────────────
- Purple box appears (⭐⭐⭐ quality)
- Dashboard: "In Base: YES"
- Tightness: 1.2%
- Duration: 3 days (too new)
- Action: MONITOR (let it develop)
WEEK 3-4: Base Tightening
──────────────────────────
- Box color changes from Purple → Blue (⭐⭐⭐⭐ quality)
- Dashboard: Duration: 12 days
- Tightness: 0.9%
- Vol Dry: YES
- Action: GET READY (high-quality base forming)
WEEK 4-5: Perfect Base Formed
──────────────────────────────
- Box changes to Aqua (⭐⭐⭐⭐⭐ EXCELLENT!)
- Dashboard: Duration: 22 days ✓
- Tightness: 0.8% ✓
- Vol Dry: YES ✓
- Range: 4.2% ✓
- Action: WATCH FOR BREAKOUT
WEEK 5: BREAKOUT HAPPENS!
──────────────────────────
- Price closes above box
- Green "BREAKOUT ✓" label appears
- Shows: Price ₹850, Volume 1.6x
- Mark Minervini indicator: BUY SIGNAL ✓
- Dashboard all GREEN ✓
- Action: ENTER TRADE
Entry: ₹850
Stop: Box low (₹820)
Target: ₹980 (20% move)
RESULT: +15.3% profit in 2 weeks! ✅
💡 PRO TIPS FOR BEST RESULTS
1. COMBINE WITH MINERVINI INDICATOR
Use BOTH indicators together:
✓ VCP Detector = Base quality
✓ Minervini = Trend + RS + Volume
Result = Best high-probability setups
2. PREFER ⭐⭐⭐⭐+ QUALITY BASES
Don't trade ⭐⭐ or ⭐ quality bases
Only trade ⭐⭐⭐+ (ideally ⭐⭐⭐⭐+)
Higher quality = Higher win rate
3. WAIT FOR VOLUME CONFIRMATION
Base must show "Vol Dry: YES"
Breakout must have 1.3x+ volume
Low volume breakouts fail often
4. USE 1D TIMEFRAME ONLY
This indicator optimized for daily charts
Intraday = Too many false signals
Weekly = Misses good setups
5. MONITOR MULTIPLE BASES (VCP PATTERN)
Multiple bases getting tighter = VCP pattern
Each base should be better quality than last
Tightest base = Biggest breakout
6. COMBINE WITH 52W CONTEXT
Dashboard shows "From 52W Hi" and "From 52W Lo"
Price should be in sweet zone:
< 25% from 52W high (uptrend territory)
> 30% above 52W low (not oversold)
7. BACKTEST FIRST
Use TradingView Replay
Go back 6-12 months
See how many bases appeared
See which were profitable
❌ BASES TO SKIP (Lower Probability)
Skip if:
❌ Quality rating < ⭐⭐⭐ (only 1-2 stars)
❌ Tightness > 1.5% (too loose)
❌ Duration < 10 days (too short, weak)
❌ Duration > 50 days (too long, may break down)
❌ Vol Dry: NO (volume not contracting)
❌ Range > 10% (not tight consolidation)
❌ Price < 30% from 52W low (too weak)
❌ Price > 30% from 52W high (too far up, late entry)
⚠️ IMPORTANT DISCLAIMERS
✓ This indicator is for educational purposes only
✓ Past performance does not guarantee future results
✓ Always use proper risk management (position sizing, stop loss)
✓ Never risk more than 2% of your account on one trade
✓ Base detection is technical analysis, not investment advice
✓ Losses can occur - trade at your own risk
✓ Combine with other indicators for best results
🎓 LEARNING RESOURCES
To understand VCP bases better:
→ Study "Trade Like a Stock Market Wizard" by Mark Minervini
→ Watch: "VCP Pattern" videos on YouTube
→ Practice: Backtest on 1-2 years of historical data
→ Learn: How consolidation precedes breakouts
🚀 YOU'RE READY!
Happy trading! 📈🎯
Mark Minervini SEPA - Balanced
📊 MARK MINERVINI SEPA BALANCED - COMPLETE USER GUIDE
🚀 WHAT IS THIS INDICATOR?
This is a professional swing trading indicator based on Mark Minervini's famous
Trend Template strategy. It automatically identifies high-probability setups where:
✅ Long-term trend is BULLISH (confirmed by moving averages)
✅ Stock is OUTPERFORMING the market (relative strength improving)
✅ Price is CONSOLIDATING (forming a base for breakout)
✅ Volume is CONFIRMING (volume spike on breakout)
Result: CLEAR BUY SIGNALS when everything aligns! 🎯
🎨 WHAT YOU SEE ON YOUR CHART
1️⃣ FOUR MOVING AVERAGE LINES:
🟠 Orange Line (MA 20) = Short-term trend
🔵 Blue Line (MA 50) = Intermediate trend
🟢 Green Line (MA 150) = Long-term trend
🔴 Red Line (MA 200) = Very long-term trend
IDEAL: All lines stacked in order (Orange > Blue > Green > Red)
2️⃣ BACKGROUND COLOR:
🟢 GREEN background = Trend template is VALID (bullish setup ready)
🔴 RED background = Trend template is BROKEN (avoid trading)
3️⃣ DASHBOARD PANEL (Top-Right):
Real-time checklist showing:
✓ 6 core trend template rules
✓ Relative strength status
✓ VCP base quality
✓ Stage classification (S1/S2/S3/S4)
✓ Volume breakout status
4️⃣ VCP BASE BOXES (Blue Rectangles):
Shows where consolidation is happening
This is your potential entry zone
5️⃣ BUY SIGNAL LABEL (Green Text Below Candle):
Green "BUY" label appears when ALL criteria are met
This is your strongest entry signal
6️⃣ STOP LOSS LINE (Red Dashed Line):
Shows your stop loss level (base low)
📖 HOW TO USE - STEP BY STEP
STEP 1: ADD INDICATOR TO CHART
────────────────────────────────
1. Open TradingView chart
2. Click "Indicators" (top toolbar)
3. Search "Minervini SEPA Balanced"
4. Click to add to your chart
5. Use DAILY (1D) timeframe for swing trading
STEP 2: CHECK THE DASHBOARD (Top-Right Panel)
1. Look at all the checkmarks
2. Count how many are GREEN (✓)
3. Check Stage column - is it showing S2 or S1?
STEP 3: LOOK FOR SETUP PATTERNS
─────────────────────────────────
Ideal setup shows:
✓ Dashboard: 10+ criteria are GREEN
✓ Stage: S2 (green) or S1 (orange)
✓ Blue VCP box visible on chart (base forming)
✓ Moving averages aligned (50 > 150 > 200)
✓ Price above all moving averages
✓ Background is GREEN
STEP 4: WAIT FOR ENTRY SIGNAL
──────────────────────────────
Option A: BUY SIGNAL label appears
→ Green "BUY" label = ALL criteria met
→ ENTER at market price immediately
Option B: Setup looks good but no BUY label yet
→ Wait for price to break above blue VCP box
→ Volume should spike (1.3x or higher)
→ Then enter at breakout
STEP 5: PLACE YOUR TRADE
────────────────────────
📍 ENTRY: At breakout from VCP base
📍 STOP LOSS: Base low (red dashed line)
📍 TARGET: 20-30% move (typical Minervini target)
📍 HOLDING TIME: 2-4 weeks
🎯 BALANCED VERSION - WHY IT'S BETTER FOR INDIAN STOCKS
Volume Multiplier: 1.3x (NOT 1.5x)
→ Original was too strict for Indian market
→ 1.3x is realistic and catches good breakouts
→ Results: 5-10 signals per stock per year (tradeable!)
Trend Template: Core 6 rules (NOT all 8)
→ Focuses on the most important rules
→ Still maintains quality, but more flexible
→ Works better with Indian stock behavior
Stage Allowed: S1 OR S2 (NOT just S2)
→ Catches earlier moves
→ Allows you to enter sooner
→ But maintains quality with other criteria
📊 DASHBOARD INDICATORS - WHAT EACH MEANS
TREND SECTION (Core 6 Rules):
─────────────────────────────
P>200 ✓ = Price above 200-day MA (long-term uptrend)
150>200 ✓ = MA150 above MA200 (MA alignment)
200↑ ✓ = MA200 trending up (uptrend accelerating)
50>150 ✓ = MA50 above MA150 (intermediate uptrend)
50>200 ✓ = MA50 above MA200 (overall alignment)
P>50 ✓ = Price above MA50 (pullback level intact)
RS STRENGTH SECTION:
───────────────────
RS↑ ✓ = Stock outperforming NIFTY index
✗ = Stock underperforming NIFTY (avoid)
VCP BASE SECTION:
────────────────
In Base ✓ = Consolidation zone detected
✗ = No consolidation yet
Vol Dry ✓ = Volume drying up (base tightening)
✗ = Normal volume (consolidation weak)
ENTRY SECTION:
──────────────
Stage S2 = GREEN (best for swing trading)
S1 = ORANGE (acceptable, early entry)
S3 = RED (avoid - distribution phase)
S4 = RED (avoid - downtrend)
Vol Brk ✓ = Volume confirmed breakout (1.3x+ average)
✗ = Weak volume (breakout likely to fail)
❌ WHEN NOT TO TRADE
SKIP if ANY of these are true:
❌ Background is RED (trend template broken)
❌ Stage is S3 or S4 (distribution or downtrend)
❌ Vol Brk is RED (volume not confirming)
❌ RS↑ is ORANGE/RED (stock underperforming market)
❌ Blue box is NOT visible (no base forming)
❌ Base is very loose/messy (not tight enough)
❌ Moving averages are not aligned
❌ Less than 8 GREEN criteria on dashboard
⚙️ CUSTOMIZATION GUIDE
Click ⚙️ gear icon next to indicator name to adjust settings:
VOLUME MULTIPLIER (Default: 1.3)
────────────────────────────────
Current: 1.3x = BALANCED for Indian stocks ✅
Change to 1.2x = MORE signals (more false breakouts)
Change to 1.4x = FEWER signals (very selective)
Change to 1.5x = ORIGINAL (too strict, rarely triggers)
RS BENCHMARK (Default: NSE:NIFTY)
─────────────────────────────────
Current: NSE:NIFTY = Large-cap stocks
Change to NSE:NIFTY500 = Mid-cap stocks
Change to NSE:NIFTYNXT50 = Small-cap stocks
MINIMUM BASE DAYS (Default: 20)
───────────────────────────────
Current: 20 days = 4 weeks consolidation ✅
Change to 15 = Shorter bases (more frequent signals)
Change to 25 = Longer bases (higher quality)
ATR% FOR TIGHTNESS (Default: 1.5)
──────────────────────────────────
Current: 1.5% = BALANCED ✅
Change to 1.0% = ONLY very tight bases
Change to 2.0% = Loose bases accepted
📈 REAL TRADING EXAMPLE
SCENARIO: Trading RELIANCE over 4 weeks
WEEK 1: Base Starts Forming
────────────────────────────
- Price consolidating around ₹1,500
- Dashboard: 5/14 criteria green
- Action: MONITOR (not ready yet)
WEEK 2: Base Tightens
─────────────────────
- Price still ₹1,500 (no movement)
- VCP box appearing on chart
- Dashboard: 8/14 criteria green
- Vol Dry: ✓ (volume shrinking - good!)
- Action: MONITOR (almost ready)
WEEK 3: Perfect Setup Formed
──────────────────────────────
- Base still ₹1,500
- Dashboard: 12/14 criteria GREEN ✓✓✓
- Stage: S2 ✓
- Blue box tight and clean
- Action: WAIT FOR BREAKOUT
WEEK 4: Breakout Happens!
──────────────────────────
- Price closes at ₹1,550 (breakout!)
- Volume: 1.6x average (exceeds 1.3x requirement)
- Dashboard: BUY SIGNAL ✓ (all criteria met)
- Action: ENTER TRADE
Entry: ₹1,550
Stop: ₹1,480 (base low)
Target: ₹1,850 (20% move)
RESULT: +19.4% profit in 2 weeks! ✅
💡 PRO TIPS FOR BEST RESULTS
1. USE DAILY (1D) CHARTS ONLY
Weekly charts = Fewer signals, slower moves
Daily charts = Best for swing trading ✅
Intraday charts = Too many false signals
2. SCAN MULTIPLE STOCKS
Don't just watch 1 stock
Scan 50-100 stocks daily
More stocks = More opportunities
3. WAIT FOR PERFECT ALIGNMENT
Don't enter on 8/14 criteria
Wait for 12+/14 criteria
This increases win rate significantly
4. VOLUME IS CRITICAL
Always check Vol Brk column
No volume = Likely to fail
1.3x+ volume = Good breakout
5. COMBINE WITH YOUR OWN ANALYSIS
Indicator gives technical signals
You add your own fundamental view
Strong fundamental + technical = Best trade
6. BACKTEST ON HISTORICAL DATA
Use TradingView Replay feature
Go back 6-12 months
See how many signals appeared
Verify which were profitable
7. KEEP A TRADING JOURNAL
Track entry, exit, profit/loss
Note what worked and what didn't
Continuous improvement!
⚠️ IMPORTANT DISCLAIMERS
✓ This indicator is for educational purposes only
✓ Past performance does not guarantee future results
✓ Always use proper risk management (position sizing, stop loss)
✓ Never risk more than 2% of your account on one trade
✓ Backtest thoroughly before using with real money
✓ The indicator provides technical signals, not investment advice
✓ Losses can occur - trade at your own risk
🎯 QUICK START CHECKLIST
Before entering ANY trade, verify:
□ Dashboard shows mostly GREEN (10+ criteria)
□ Stage = S2 (green) or S1 (orange)
□ Blue VCP box visible on chart
□ Price just broke above the box
□ Volume is high (1.3x+ average, Vol Brk = ✓)
□ Moving averages aligned (50 > 150 > 200)
□ RS is uptrending (RS↑ = ✓)
□ BUY SIGNAL label appeared (optional but strong confirmation)
ALL CHECKED? → READY TO BUY! 🚀
📞 FOR HELP & SUPPORT
Questions about the indicator?
→ Check the dashboard - each criterion has a specific meaning
→ Review this guide - answers most common questions
→ Backtest on historical data using TradingView Replay
→ Start with paper trading (no real money) first
🎓 LEARNING RESOURCES
To understand Mark Minervini's method better:
→ Read: "Trade Like a Stock Market Wizard" by Mark Minervini
→ Watch: TradingView educational videos on trend templates
→ Practice: Backtest this indicator on 6-12 months of historical data
→ Learn: Study successful traders who use similar strategies
GOOD LUCK WITH YOUR TRADING! 🚀📈
May your trends be bullish and your breakouts be explosive! 🎯
Superior-Range Bound Renko - Strategy - 11-29-25 - SignalLynxSuperior-Range Bound Renko Strategy with Advanced Risk Management Template
Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙
1. Overview
Welcome to Superior-Range Bound Renko (RBR) — a volatility-aware, structure-respecting swing-trading system built on top of a full Risk Management (RM) Template from Signal Lynx.
Instead of relying on static lookbacks (like “14-period RSI”) or plain MA crosses, Superior RBR:
Adapts its range definition to market volatility in real time
Emulates Renko Bricks on a standard, time-based chart (no Renko chart type required)
Uses a stack of Laguerre Filters to detect genuine impulse vs. noise
Adds an Adaptive SuperTrend powered by a small k-means-style clustering routine on volatility
Under the hood, this script also includes the full Signal Lynx Risk Management Engine:
A state machine that separates “Signal” from “Execution”
Layered exit tools: Stop Loss, Trailing Stop, Staged Take Profit, Advanced Adaptive Trailing Stop (AATS), and an RSI-style stop (RSIS)
Designed for non-repainting behavior on closed candles by basing execution-critical logic on previous-bar data
We are publishing this as an open-source template so traders and developers can leverage a professional-grade RM engine while integrating their own signal logic if they wish.
2. Quick Action Guide (TL;DR)
Best Timeframe:
4 Hours (H4) and above. This is a high-conviction swing-trading system, not a scalper.
Best Assets:
Volatile instruments that still respect market structure:
Bitcoin, Ethereum, Gold (XAUUSD), high-volatility Forex pairs (e.g., GBPJPY), indices with clean ranges.
Strategy Type:
Volatility-Adaptive Trend Following + Impulse Detection.
It hunts for genuine expansion out of ranges, not tiny mean-reversion nibbles.
Key Feature:
Renko Emulation on time-based candles.
We mathematically model Renko Bricks and overlay them on your standard chart to define:
“Equilibrium” zones (inside the brick structure)
“Breakout / impulse” zones (when price AND the impulse line depart from the bricks)
Repainting:
Designed to be non-repainting on closed candles.
All RM execution logic uses confirmed historical data (no future bars, no security() lookahead). Intrabar flicker during formation is allowed, but once a bar closes the engine’s decisions are stable.
Core Toggles & Filters:
Enable Longs and Shorts independently
Optional Weekend filter (block trades on Saturday/Sunday)
Per-module toggles: Stop Loss, Trailing Stop, Staged Take Profits, AATS, RSIS
3. Detailed Report: How It Works
A. The Strategy Logic: Superior RBR
Superior RBR builds its entry signal from multiple mathematical layers working together.
1) Adaptive Lookback (Volatility Normalization)
Instead of a fixed 100-bar or 200-bar range, the script:
Computes ATR-based volatility over a user-defined period.
Normalizes that volatility relative to its recent min/max.
Maps the normalized value into a dynamic lookback window between a minimum and maximum (e.g., 4 to 100 bars).
High Volatility:
The lookback shrinks, so the system reacts faster to explosive moves.
Low Volatility:
The lookback expands, so the system sees a “bigger picture” and filters out chop.
All the core “Range High/Low” and “Range Close High/Low” boundaries are built on top of this adaptive window.
2) Range Construction & Quick Ranges
The engine constructs several nested ranges:
Outer Range:
rangeHighFinal – dynamic highest high
rangeLowFinal – dynamic lowest low
Inner Close Range:
rangeCloseHighFinal – highest close
rangeCloseLowFinal – lowest close
Quick Ranges:
“Half-length” variants of those, used to detect more responsive changes in structure and volatility.
These ranges define:
The macro box price is trading inside
Shorter-term “pressure zones” where price is coiling before expansion
3) Renko Emulation (The Bricks)
Rather than using the Renko chart type (which discards time), this script emulates Renko behavior on your normal candles:
A “brick size” is defined either:
As a standard percentage move, or
As a volatility-driven (ATR) brick, optionally inhibited by a minimum standard size
The engine tracks a base value and derives:
brickUpper – top of the emulated brick
brickLower – bottom of the emulated brick
When price moves sufficiently beyond those levels, the brick “shifts”, and the directional memory (renkoDir) updates:
renkoDir = +2 when bricks are advancing upward
renkoDir = -2 when bricks are stepping downward
You can think of this as a synthetic Renko tape overlaid on time-based candles:
Inside the brick: equilibrium / consolidation
Breaking away from the brick: momentum / expansion
4) Impulse Tracking with Laguerre Filters
The script uses multiple Laguerre Filters to smooth price and brick-derived data without traditional lag.
Key filters include:
LagF_1 / LagF_W: Based on brick upper/lower baselines
LagF_Q: Based on HLCC4 (high + low + 2×close)/4
LagF_Y / LagF_P: Complex averages combining brick structures and range averages
LagF_V (Primary Impulse Line):
A smooth, high-level impulse line derived from a blend of the above plus the outer ranges
Conceptually:
When the impulse line pushes away from the brick structure and continues in one direction, an impulse move is underway.
When its direction flips and begins to roll over, the impulse is fading, hinting at mean reversion back into the range.
5) Fib-Based Structure & Swaps
The system also layers in Fib levels derived from the adaptive ranges:
Standard levels (12%, 23.6%, 38.2%, 50%, 61%, 76.8%, 88%) from the main range
A secondary “swap” set derived from close-range dynamics (fib12Swap, fib23Swap, etc.)
These Fibs are used to:
Bucket price into structural zones (below 12, between 23–38, etc.)
Detect breakouts when price and Laguerre move beyond key Fib thresholds
Drive zSwap logic (where a secondary Fib set becomes the active structure once certain conditions are met)
6) Adaptive SuperTrend with K-Means-Style Volatility Clustering
Under the hood, the script uses a small k-means-style clustering routine on ATR:
ATR is measured over a fixed period
The range of ATR values is split into Low, Medium, High volatility centroids
Current ATR is assigned to the nearest centroid (cluster)
From that, a SuperTrend variant (STK) is computed with dynamic sensitivity:
In quiet markets, SuperTrend can afford to be tighter
In wild markets, it widens appropriately to avoid constant whipsaw
This SuperTrend-based oscillator (LagF_K and its signals) is then combined with the brick and Laguerre stack to confirm valid trend regimes.
7) Final Baseline Signals (+2 / -2)
The “brain” of Superior RBR lives in the Baseline & Signal Generation block:
Two composite signals are built: B1 and B2:
They combine:
Fib breakouts
Renko direction (renkoDir)
Expansion direction (expansionQuickDir)
Multiple Laguerre alignments (LagF_Q, LagF_W, LagF_Y, LagF_Z, LagF_P, LagF_V)
They also factor in whether Fib structures are expanding or contracting.
A user toggle selects the “Baseline” signal:
finalSig = B2 (default) or B1 (alternate baseline)
finalSig is then filtered through the RM state machine and only when everything aligns, we emit:
+2 = Long / Buy signal
-2 = Short / Sell signal
0 = No new trade
Those +2 / -2 values are what feed the Risk Management Engine.
B. The Risk Management (RM) Engine
This script features the Signal Lynx Risk Management Engine, a proprietary state machine built to separate Signal from Execution.
Instead of firing orders directly on indicator conditions, we:
Convert the raw signal into a clean integer (Fin = +2 / -2 / 0)
Feed it into a Trade State Machine that understands:
Are we flat?
Are we in a long or short?
Are we in a closing sequence?
Should we permit re-entry now or wait?
Logic Injection / Template Concept:
The RM engine expects a simple integer:
+2 → Buy
-2 → Sell
Everything else (0) is “no new trade”
This makes the script a template:
You can remove the Superior RBR block
Drop in your own logic (RSI, MACD, price action, etc.)
As long as you output +2 or -2 into the same signal channel, the RM engine can drive all exits and state transitions.
Aggressive vs Conservative Modes:
The input AgressiveRM (Aggressive RM) governs how we interpret signals:
Conservative Mode (Aggressive RM = false):
Uses a more filtered internal signal (AF) to open trades
Effectively waits for a clean trend flip / confirmation before new entries
Minimizes whipsaw at the cost of fewer trades
Aggressive Mode (Aggressive RM = true):
Reacts directly to the fresh alert (AO) pulses
Allows faster re-entries in the same direction after RM-based exits
Still respects your pyramiding setting; this script ships with pyramiding = 0 by default, so it will not stack multiple positions unless you change that parameter in the strategy() call.
The state machine enforces discipline on top of your signal logic, reducing double-fires and signal spam.
C. Advanced Exit Protocols (Layered Defense)
The exit side is where this template really shines. Instead of a single “take profit or stop loss,” it uses multiple, cooperating layers.
1) Hard Stop Loss
A classic percentage-based Stop Loss (SL) relative to the entry price.
Acts as a final “catastrophic protection” layer for unexpected moves.
2) Standard Trailing Stop
A percentage-based Trailing Stop (TS) that:
Activates only after price has moved a certain percentage in your favor (tsActivation)
Then trails price by a configurable percentage (ts)
This is a straightforward, battle-tested trailing mechanism.
3) Staged Take Profits (Three Levels)
The script supports three staged Take Profit levels (TP1, TP2, TP3):
Each stage has:
Activation percentage (how far price must move in your favor)
Trailing amount for that stage
Position percentage to close
Example setup:
TP1:
Activate at +10%
Trailing 5%
Close 10% of the position
TP2:
Activate at +20%
Trailing 10%
Close another 10%
TP3:
Activate at +30%
Trailing 5%
Close the remaining 80% (“runner”)
You can tailor these quantities for partial scaling out vs. letting a core position ride.
4) Advanced Adaptive Trailing Stop (AATS)
AATS is a sophisticated volatility- and structure-aware stop:
Uses Hirashima Sugita style levels (HSRS) to model “floors” and “ceilings” of price:
Dungeon → Lower floors → Mid → Upper floors → Penthouse
These levels classify where current price sits within a long-term distribution.
Combines HSRS with Bollinger-style envelopes and EMAs to determine:
Is price extended far into the upper structure?
Is it compressed near the lower ranges?
From this, it computes an adaptive factor that controls how tight or loose the trailing level (aATS / bATS) should be:
High Volatility / Penthouse areas:
Stop loosens to avoid getting wicked out by inevitable spikes.
Low Volatility / compressed structure:
Stop tightens to lock in and protect profit.
AATS is designed to be the “smart last line” that responds to context instead of a single fixed percentage.
5) RSI-Style Stop (RSIS)
On top of AATS, the script includes a RSI-like regime filter:
A McGinley Dynamic mean of price plus ATR bands creates a dynamic channel.
Crosses above the top band and below the lower band change a directional state.
When enabled (UseRSIS):
RSIS can confirm or veto AATS closes:
For longs: A shift to bearish RSIS can force exits sooner.
For shorts: A shift to bullish RSIS can do the same.
This extra layer helps avoid over-reactive stops in strong trends while still respecting a regime change when it happens.
D. Repainting Protection
Many strategies look incredible in the Strategy Tester but fail in live trading because they rely on intrabar values or future-knowledge functions.
This template is built with closed-candle realism in mind:
The Risk Management logic explicitly uses previous bar data (open , high , low , close ) for the key decisions on:
Trailing stop updates
TP triggers
SL hits
RM state transitions
No security() lookahead or future-bar access is used.
This means:
Backtest behavior is designed to match what you can actually get with TradingView alerts and live automation.
Signals may “flicker” intrabar while the candle is forming (as with any strategy), but on closed candles, the RM decisions are stable and non-repainting.
4. For Developers & Modders
We strongly encourage you to mod this script.
To plug your own strategy into the RM engine:
Look for the section titled:
// BASELINE & SIGNAL GENERATION
You will see composite logic building B1 and B2, and then selecting:
baseSig = B2
altSig = B1
finalSig = sigSwap ? baseSig : altSig
You can replace the content used to generate baseSig / altSig with your own logic, for example:
RSI crosses
MACD histogram flips
Candle pattern detectors
External condition flags
Requirements are simple:
Your final logic must output:
2 → Buy signal
-2 → Sell signal
0 → No new trade
That output flows into the RM engine via finalSig → AlertOpen → state machine → Fin.
Once you wire your signals into finalSig, the entire Risk Management system (Stops, TPs, AATS, RSIS, re-entry logic, weekend filters, long/short toggles) becomes available for your custom strategy without re-inventing the wheel.
This makes Superior RBR not just a strategy, but a reference architecture for serious Pine dev work.
5. About Signal Lynx
Automation for the Night-Shift Nation 🌙
Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management.
We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to:
Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators
Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend
If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source).
If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Super-AO with Risk Management Alerts Template - 11-29-25Super-AO with Risk Management: ALERTS & AUTOMATION Edition
Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙
1. Overview
This is the Indicator / Alerts companion to the Super-AO Strategy.
While the Strategy version is built for backtesting (verifying profitability and checking historical performance), this Indicator version is built for Live Execution.
We understand the frustration of finding a great strategy, only to realize you can't easily hook it up to your trading bot. This script solves that. It contains the exact same "Super-AO" logic and "Risk Management Engine" as the strategy version, but it is optimized to send signals to automation platforms like Signal Lynx, 3Commas, or any Webhook listener.
2. Quick Action Guide (TL;DR)
Purpose: Live Signal Generation & Automation.
Workflow:
Use the Strategy Version to find profitable settings.
Copy those settings into this Indicator Version.
Set a TradingView Alert using the "Any Alert() function call" condition.
Best Timeframe: 4 Hours (H4) and above.
Compatibility: Works with any webhook-based automation service.
3. Why Two Scripts?
Pine Script operates in two distinct modes:
Strategy Mode: Calculates equity, drawdowns, and simulates orders. Great for research, but sometimes complex to automate.
Indicator Mode: Plots visual data on the chart. This is the preferred method for setting up robust alerts because it is lighter weight and plots specific values that automation services can read easily.
The Golden Rule: Always backtest on the Strategy, but trade on the Indicator. This ensures that what you see in your history matches what you execute in real-time.
4. How to Automate This Script
This script uses a "Visual Spike" method to trigger alerts. Instead of drawing equity curves, it plots numerical values at the bottom of your chart when a trade event occurs.
The Signal Map:
Blue Spike (2 / -2): Entry Signal (Long / Short).
Yellow Spike (1 / -1): Risk Management Close (Stop Loss / Trend Reversal).
Green Spikes (1, 2, 3): Take Profit Levels 1, 2, and 3.
Setup Instructions:
Add this indicator to your chart.
Open your TradingView "Alerts" tab.
Create a new Alert.
Condition: Select SAO - RM Alerts Template.
Trigger: Select Any Alert() function call.
Message: Paste your JSON webhook message (provided by your bot service).
5. The Logic Under the Hood
Just like the Strategy version, this indicator utilizes:
SuperTrend + Awesome Oscillator: High-probability swing trading logic.
Non-Repainting Engine: Calculates signals based on confirmed candle closes to ensure the alert you get matches the chart reality.
Advanced Adaptive Trailing Stop (AATS): Internally calculates volatility to determine when to send a "Close" signal.
6. About Signal Lynx
Automation for the Night-Shift Nation 🌙
We are providing this code open source to help traders bridge the gap between manual backtesting and live automation. This code has been in action since 2022.
If you are looking to automate your strategies, please take a look at Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please release them back to the community!
Super-AO with Risk Management Strategy Template - 11-29-25Super-AO Strategy with Advanced Risk Management Template
Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙
1. Overview
Welcome to the Super-AO Strategy. This is more than just a buy/sell indicator; it is a complete, open-source Risk Management (RM) Template designed for the Pine Script community.
At its core, this script implements a robust swing-trading strategy combining the SuperTrend (for macro direction) and the Awesome Oscillator (for momentum). However, the real power lies under the hood: a custom-built Risk Management Engine that handles trade states, prevents repainting, and manages complex exit conditions like Staged Take Profits and Advanced Adaptive Trailing Stops (AATS).
We are releasing this code to help traders transition from simple indicators to professional-grade strategy structures.
2. Quick Action Guide (TL;DR)
Best Timeframe: 4 Hours (H4) and above. Designed for Swing Trading.
Best Assets: "Well-behaved" assets with clear liquidity (Major Forex pairs, BTC, ETH, Indices).
Strategy Type: Trend Following + Momentum Confirmation.
Key Feature: The Risk Management Engine is modular. You can strip out the "Super-AO" logic and insert your own strategy logic into the template easily.
Repainting: Strictly Non-Repainting. The engine calculates logic based on confirmed candle closes.
3. Detailed Report: How It Works
A. The Strategy Logic: Super-AO
The entry logic is based on the convergence of two classic indicators:
SuperTrend: Determines the overall trend bias (Green/Red).
Awesome Oscillator (AO): Measures market momentum.
The Signal:
LONG (+2): SuperTrend is Green AND AO is above the Zero Line AND AO is Rising.
SHORT (-2): SuperTrend is Red AND AO is below the Zero Line AND AO is Falling.
By requiring momentum to agree with the trend, this system filters out many false signals found in ranging markets.
B. The Risk Management (RM) Engine
This script features a proprietary State Machine designed by Signal Lynx. Unlike standard strategies that simply fire orders, this engine separates the Signal from the Execution.
Logic Injection: The engine listens for a specific integer signal: +2 (Buy) or -2 (Sell). This makes the code a Template. You can delete the Super-AO section, write your own logic, and simply pass a +2 or -2 to the RM_EngineInput variable. The engine handles the rest.
Trade States: The engine tracks the state of the trade (Entry, In-Trade, Exiting) to prevent signal spamming.
Aggressive vs. Conservative:
Conservative Mode: Waits for a full trend reversal before taking a new trade.
Aggressive Mode: Allows for re-entries if the trend is strong and valid conditions present themselves again (Pyramiding Type 1).
C. Advanced Exit Protocols
The strategy does not rely on a single exit point. It employs a "Layered Defense" approach:
Hard Stop Loss: A fixed percentage safety net.
Staged Take Profits (Scaling Out): The script allows you to set 3 distinct Take Profit levels. For example, you can close 10% of your position at TP1, 10% at TP2, and let the remaining 80% ride the trend.
Trailing Stop: A standard percentage-based trailer.
Advanced Adaptive Trailing Stop (AATS): This is a highly sophisticated volatility stop. It calculates market structure using Hirashima Sugita (HSRS) levels and Bollinger Bands to determine the "floor" and "ceiling" of price action.
If volatility is high: The stop loosens to prevent wicking out.
If volatility is low: The stop tightens to protect profit.
D. Repainting Protection
Many Pine Script strategies look great in backtesting but fail in live trading because they rely on "real-time" price data that disappears when the candle closes.
This Risk Management engine explicitly pulls data from the previous candle close (close , high , low ) for its calculations. This ensures that the backtest results you see match the reality of live execution.
4. For Developers & Modders
We encourage you to tear this code apart!
Look for the section titled // Super-AO Strategy Logic.
Replace that block with your own RSI, MACD, or Price Action logic.
Ensure your logic outputs a 2 for Buy and -2 for Sell.
Connect it to RM_EngineInput.
You now have a fully functioning Risk Management system for your custom strategy.
5. About Signal Lynx
Automation for the Night-Shift Nation 🌙
This code has been in action since 2022 and is a known performer in PineScript v5. We provide this open source to help the community build better, safer automated systems.
If you are looking to automate your strategies, please take a look at Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please release them back to the community!
Buy Sell Signal — Ema crossover [© gyanapravah_odisha]Professional EMA Crossover + ATR Risk Control
Trade with confidence using a complete system that gives you clear entries, smart exits, and full automation.
Includes:
Precision 5/13 EMA crossover signals
ATR-based adaptive stop-loss
Multiple take-profit levels (with intermediate targets)
Fully customizable R:R ratios
ATR + volume filters to avoid choppy markets
Real-time trade dashboard
All alerts included
Built for: Crypto, Forex, Stocks • Scalping & Swing Trading
Built for you: Free, open-source & made for real-world trading.
Tomo's Pivots // last W, last M, last Q, last30d, last90d.These are pivots that you can use to look back at various time periods to find magnetic Price points of support and resistance. There are: weekly, last 30 days, last month, last 90 days, and last quarter. You can change the color and style of every indicator and its label. So if it happens to be November 29 today, you will see the last 90 days representing 90 days before November 29. But you will also see last quarter which represents from July 1 to September 30. These values are fair value equilibrium price point by averaging the high low and close of that time period. Weekly is great for intraday trading and the last 30 is great for momentum. Consider using the monthly for swing trading. Stay in the green.
Best Entry Swing MASTER v3 PUBLIC (S.S)Strategy Description (English)
Best Entry Swing MASTER v3 – Quality Mode
The Best Entry Swing MASTER v3 is a structured swing trading and trend-following strategy designed to identify high-probability long and short entries during directional markets.
It combines three core setup types commonly used by momentum and breakout traders:
Breakout (BO)
Pullback Reversal (PB)
Volatility Contraction Pattern (VCP)
The strategy applies multiple layers of confirmation, including multi-EMA trend structure, volatility contraction, volume filters, and an optional market regime filter.
It is suitable for swing trading on higher timeframes (4H, Daily), as well as medium-term trend continuation setups.
Core Concepts
1. Trend Structure
A trend is considered valid when:
Uptrend: Price > EMA20 > EMA50 > EMA100
Downtrend: Price < EMA20 < EMA50 < EMA100
In addition, a simple but effective trend-strength metric is calculated using the percentage spread between EMA20 and EMA100.
This helps avoid signals during sideways or low-volatility environments.
2. Market Regime Filter
The market environment is determined using a higher timeframe benchmark (default: SPY on Daily).
Only long trades are allowed in bullish market conditions
Only short trades in bearish conditions
This significantly reduces false signals in counter-trend conditions.
Entry Logic
Breakout (BO)
A long breakout triggers when:
Price closes above the highest high of the lookback period
Volume exceeds its 20-period average
Trend and market regime confirm
(Optional A+ mode): true volatility contraction is required
Similar logic applies for short breakdowns.
Pullback (PB)
A pullback entry triggers after:
At least two corrective candles
A strong reversal candle (close above previous high for long)
Volume confirmation
Price interacts with EMA20
This structure models classical trend-reentry conditions.
Volatility Contraction Pattern (VCP)
A VCP entry triggers when:
True range contracts over multiple bars
Price holds near the breakout zone
Volume contracts
Trend and market regime are aligned
This setup aims to capture explosive continuation moves.
Quality Modes
The strategy offers two modes:
Balanced Mode
Moderate signal frequency
Broader trend-strength allowance
Suitable for more active traders
A+ Only Mode
Strict confirmation requirements
Only high-quality setups with multiple confluences
Designed to avoid low-probability trades entirely
Risk Management
Risk is managed using an ATR-based stop and target:
Long SL = Close − ATR × 1.5
Long TP = Close + ATR × 3
(Equivalent logic for short positions)
This provides a balanced reward-to-risk profile and avoids overly tight stops.
Early Entry Signals (Optional)
The script offers optional “Early Entry” markers that highlight when a setup is forming but not yet confirmed.
These are not entry signals and are disabled by default for public use.
Intended Use
This strategy is designed for:
Swing trading
Momentum continuation
Trend-following
Multi-day to multi-week trades
It performs best on:
4H
Daily
High-liquidity equities, indices, and futures
Disclaimer
This script is intended for educational and research purposes.
Past performance does not guarantee future results.
Always backtest thoroughly and use appropriate risk management.
Bassi's Pattern Breakout IndicatorBASSI'S PATTERN BREAKOUT INDICATOR
Author: Bassi | Published 2025
One of the cleanest and most accurate classic pattern detectors on TradingView – proudly coded and shared by Bassi.
Detects & confirms breakouts from:
• Double Top / Double Bottom
• Triple Top / Triple Bottom
• Head & Shoulders
• Inverse Head & Shoulders
Key Features:
• 100% non-repainting – signals only appear after candle close
• Smart breakout confirmation using the correct neckline level
• Visual pattern drawing (tops/bottoms + necklines)
• Clear breakout labels with vertical confirmation lines
• Real-time TradingView alerts (one alert per bar close)
• All alerts include "Bassi" prefix so you know it's the original
• Dynamic coloring for Double Bottom (red in lower areas, green in higher areas)
• No messy BUY/SELL labels – clean professional look (as requested by the community)
Why traders love it:
- Extremely reliable on all timeframes (1m to monthly)
- Works perfectly on Forex, Stocks, Crypto, Indices
- No false signals during consolidation
- Perfect for swing trading, scalping and position trading
Settings:
• Pivot Left/Right Bars – adjust sensitivity
• Price Tolerance % – how flat the tops/bottoms must be
• Max Pivot Storage – memory management
• Enable/disable alerts and visual markers
How to use:
1. Add to chart
2. Create alert → select "Bassi's Pattern Breakout Indicator"
3. Choose "Once per bar close"
4. Get notified instantly on every confirmed breakout!
This is the original and only authorized version by Bassi.
If you enjoy this indicator, please leave a like and follow for future updates!
© Bassi 2025 – All rights reserved
#pattern #breakout #doubletop #doublebottom #headandshoulders #tradingview #bassi
Gap-Up Momentum Screener (S.S)
ENGLISH-VERSION
1) TradingView Gap Screener (for US stocks)
➤ Conditions
Gap-Up ≥ +3% (large gaps indicate institutional pressure)
Pre-market volume ≥ 150% of the 20-day average
RS line > 50
Price > 50 SMA
Market cap ≥ 1 billion USD
No penny stocks
2) Minervini Gap-Entry Strategy (Swing Trading)
This is a variant specifically optimized for gaps + momentum.
A) Setup Criteria
The stock must meet the following conditions:
Gap-Up ≥ +3%
First retracement ≤ 30% of the gap
High relative strength (RS line rising)
Volume on the gap day > 2× average
Price above 20 EMA, 50 SMA, 150 SMA, 200 SMA
No immediate resistance within 2–5%
B) Entry Setups
Entry 1: First Pullback Entry (FPE)
Wait for the first 1–3 day consolidation.
Entry → Breakout of the small range.
Stop → Below the low of the pullback.
Rule: No entry on the gap day itself.
Entry 2: High Tight Flag above the Gap
Stock rises > 10% after the gap
Then forms a 3–8 day sideways phase
Entry → Break above the flag’s high
Stop → Below the flag base
Entry 3: ORB Entry (Opening Range Breakout, 30 minutes)
Very effective for strong gaps.
Wait 30 minutes after the market opens
Entry → Break above the high of these first 30 minutes
Stop → Below the 30-minute low
C) Stop Levels
For FPE: 4–8%
For ORB: 1–2 × ATR(14)
For flags: 3–5%
D) Add Rules
Only if the stock continues showing strong volume:
Add on every new 3–5 day high
Add only above half-range levels
Maximum 3 adds
3) Early-Warning Module (Setup forming but not ready for entry)
This module marks stocks that are forming a setup but are not yet buyable.
➤ Criteria
Gap-Up ≥ 3%
Strong volume
Stock pulls back and consolidates (1–5 bars)
BUT no breakout yet
4) Exact Entry Checklist (Minervini-style, optimized for gaps)
Checklist before entry:
Gap ≥ +3%
20 EMA rising
Volume > 2× average
RS line rising
Price > 50 SMA
Pullback not deeper than 30% of the gap
3+ green signals from the Early-Warning diamonds
If all 7 are fulfilled → green light.
5) How to apply the strategy in daily practice
Morning (08:00–09:00)
Check the screener
Build your watchlist
Identify gaps
US Market Open (15:30)
Monitor the Early-Warning module
Sort gap momentum opportunities
16:00–17:00
Enter: First Pullback / ORB / Flag
Set stops
Determine position size based on risk
After 20:00
Check volume strength
If momentum fades → no more adds
The Trade Plan 9 & 15 EMA⭐ What Are EMAs?
An Exponential Moving Average (EMA) gives more weight to recent prices, making it more responsive than a simple moving average.
9-EMA = very fast, reacts quickly to price changes
15-EMA = slightly slower, smooths short-term noise
Together they help identify momentum shifts.
📈 How the 9/15 EMA Strategy Works
1. Buy Signal (Bullish Crossover)
You enter a long (buy) trade when:
➡ 9 EMA crosses above the 15 EMA
This suggests momentum is shifting upward and a new uptrend may be forming.
2. Sell Signal (Bearish Crossover)
You enter a short (sell) trade or exit long positions when:
➡ 9 EMA crosses below the 15 EMA
This suggests momentum is turning downward.
🔧 How Traders Typically Use It
Entry
Wait for a clear crossover.
Confirm with price closing on the same side of EMAs.
Some traders add confirmation using RSI, MACD, or support/resistance.
Exit
Several options:
Exit when the opposite crossover occurs.
Exit at predetermined risk-reward levels (e.g., 1:2).
Use trailing stop below/above EMAs.
👍 Strengths
Easy to follow
Good for fast-moving markets
Works well on trending markets
Minimal indicators needed
👎 Weaknesses
Whipsaws in sideways markets
Many false signals on very low timeframes
Works best with additional filters
🕒 Common Timeframes
Scalping: 1m, 5m
Day trading: 5m, 15m
Swing trading: 1H, 4H
EMAs Bullish/Bearish Confluence [Trend Bias]EMA Confluence Zones
This indicator is designed to simplify trend identification by visually highlighting "Confluence Zones" —areas where short-term, medium-term, and long-term momentum are fully aligned.
While traders can manually add three Moving Averages to a chart, identifying the exact moment all three align (the "Perfect Stack") can be visually difficult during live trading. This script automates that process, converting complex line crosses into simple background color zones and providing actionable alerts for the exact moment a trend alignment begins.
🛠 How It Works
The script utilizes three customizable Exponential Moving Averages (EMAs) to detect the market bias:
Short EMA: Represents immediate price action/momentum.
Medium EMA: Represents the intermediate trend.
Long EMA: Represents the major trend baseline.
Calculations & Logic
The indicator checks for a specific hierarchical alignment (Stacking) of these averages:
1. 🟢 Bullish Confluence (Buy Zone):** Returns true when `Short > Medium` AND `Medium >Long`. This confirms that momentum is rising across all three monitored timeframes.
2. 🔴 Bearish Confluence (Sell Zone):** Returns true when `Short < Medium` AND `Medium < Long`. This confirms that momentum is falling across all three monitored timeframes.
3. ⚪ Neutral (No Color): Any other state indicates a choppy or consolidating market where the EMAs are intertwined.
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🚀 Key Features
*Visual Bias Confirmation: The background highlights Green (Bullish) or Red (Bearish) only when the "Perfect Stack" conditions are met.
Trend Start Alerts: Unlike standard EMA cross alerts, this script includes custom alert conditions that trigger only on the first bar where the confluence becomes valid. This prevents spam alerts during a prolonged trend.
Full Customization: Users can adjust the lengths of all three EMAs to fit specific strategies (e.g., Scalping vs. Swing Trading).
Clean Chart Mode: Includes options to hide the EMA lines entirely and rely solely on the background color for a minimalist "Naked Trading" setup.
🎯 How to Use
1. Trend Filter: Use the background color to determine your directional bias. If the background is Green, look only for Long setups on lower timeframes. If Red, look only for Short setups.
2. Breakout Confirmation: If price breaks a key level, wait for the background color to flip. This confirms that the Moving Averages have caught up to the move, validating the breakout strength.
3. Exit Signal: If you are in a trend trade and the background color disappears (turns transparent), it indicates the trend momentum is fading and the EMAs are beginning to cross/compress.
⚙️ Settings
EMA Lengths: Default is 20, 50, 100. These can be changed to common combinations like (9, 21, 55) or (50, 100, 200).
Visuals: Toggle lines or background colors on/off and adjust transparency to keep your chart readable.
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Disclaimer: This script is for informational purposes only. Past performance of a trend following method does not guarantee future results. Always use proper risk management.
