Red & Green Zone ReversalOverview
The “Red & Green Zone Reversal” indicator is designed to visually highlight potential reversal zones on your chart by using a combination of Bollinger Bands and the Relative Strength Index (RSI).
It overlays on the chart and provides background color cues—red for oversold conditions and green for overbought conditions—along with corresponding alert triggers.
Key Components
Overlay: The indicator is set to overlay the chart, meaning its visual cues (colored backgrounds) are drawn directly on the price chart.
Bollinger Bands Calculation
Period: A 20-period simple moving average (SMA) is calculated from the closing prices.
Standard Deviation Multiplier: A multiplier of 2.0 is applied.
Bands Defined:
Basis: The 20-period SMA.
Deviation: Calculated as 2 times the standard deviation over the same period.
Upper Band: Basis plus the deviation.
Lower Band: Basis minus the deviation.
RSI Calculation
Period: The RSI is computed over a 14-period span using the closing prices.
Thresholds:
Oversold Threshold: 30 (used for the red zone condition).
Overbought Threshold: 70 (used for the green zone condition).
Zone Conditions
Red Zone (Oversold):
Criteria: The price is below the lower Bollinger Band and the RSI is below 30.
Purpose: Highlights a situation where the asset may be deeply oversold, signaling a potential reversal to the upside.
Green Zone (Overbought):
Criteria: The price is above the upper Bollinger Band and the RSI is above 70.
Purpose: Indicates that the asset may be overbought, potentially signaling a reversal to the downside.
Visual and Alert Components
Background Coloring:
Red Background: Applied when the red zone condition is met (using a semi-transparent red).
Green Background: Applied when the green zone condition is met (using a semi-transparent green).
Alerts:
Red Alert: An alert condition titled “Deep Oversold Alert” is triggered with the message “Deep Oversold Signal triggered!” when the red zone criteria are satisfied.
Green Alert: Similarly, an alert condition titled “Deep Overbought Alert” is triggered with the message “Deep Overbought Signal triggered!” when the green zone criteria are met.
Important Disclaimers
Not Financial Advice:
This indicator is provided for informational and analytical purposes only. It does not constitute trading advice or a recommendation to buy or sell any asset. Traders should use it as one of several tools in their analysis and should perform their own due diligence.
Risk Management:
Trading inherently involves risk. Past performance is not indicative of future results. Always implement appropriate risk management and use stop losses where necessary.
Summary
In summary, the “Red & Green Zone Reversal” indicator uses Bollinger Bands and RSI to detect extreme market conditions. It visually marks oversold (red) and overbought (green) conditions directly on the chart and offers alert conditions to help traders monitor these potential reversal points.
Enjoy!!
Cerca negli script per "reversal"
FVG Reversal Sentinel🔵 FVG Reversal Sentinel – Multi-Timeframe Fair Value Gap Indicator
The FVG Reversal Sentinel is a powerful TradingView indicator designed to help traders identify and track Fair Value Gaps (FVGs) across multiple timeframes, all within a single chart.
This tool allows you to select up to five separate timeframes, ensuring you never miss key market shifts, whether you are scalping, day trading, or swing trading. You can use this indicator in any asset (Cryptos, Futures, Indices, Forex Pairs, etc.).
🔵 - Key Features -
Multi-Timeframe FVG Tracking – Select and display up to five different timeframes on one chart, providing a comprehensive view of market structure.
Customizable Colors – Adjust bullish and bearish FVG colors to match your chart theme for a seamless trading experience.
Enhanced Market Context – Quickly identify key liquidity zones and refine your entries and exits with precision.
Hide the lower timeframes FVGs to get a clear view in a custom timeframe.
Show or hide mitigated FVGs to declutter the chart.
FVGs boxes are going to be displayed only when the candle bar closes
FVGs are going to be mitigated only when the body of the candle closes above or below the FVG area.
No repainting
Whether you're looking to fine-tune your entries or gain a broader market perspective, the FVG Reversal Sentinel indicator ensures you have the tools to stay ahead of price action and capitalize on market inefficiencies.
🔵 - Customization-
You can change the indicator settings as you see fit to achieve the best results for your use case.
TIMEFRAMES
This indicator provides the ability to select up to 5 timeframes. These timeframes are based on the trader's timeframes including any custom timeframes.
Select the desired timeframe from the options list.
Add the label text you would like to show for the selected timeframe.
Check or uncheck the box to display or hide the timeframe from your chart.
FVG SETTINGS
Length of boxes: allows you to select the length of the box that is going to be displayed for the FVGs.
Delete boxes after fill?: allows you to show or hide mitigated FVGs on your chart.
Hide FVGs lower than enabled timeframes?: allows you to show or hide lower timeframe FVGs on your chart. Example - You are in a 15 minutes timeframe chart, if you choose to hide lower timeframe FVGs you will not be able to see 5 minutes FVG defined in your Timeframes Settings, only 15 minutes or higher timeframe FVGs will be displayed on your chart.
BOX VISUALS
Bullish FVG box color: the color and opacity of the box for the bullish FVGs.
Bearish FVG box color: the color and opacity of the box for the bearish FVGs.
LABELS VISUALS
Bullish FVG labels color: the color for bullish labels.
Bearish FVG labels color: the color for bearish labels.
Labels size: the size of the text displayed in the labels.
Labels position: the position of the label inside the FVGs boxes (right, left or center).
BORDER VISUALS
Border width: the width of the border (the thickness).
Bullish FVG border color: the color and the opacity of the bullish box border.
Bearish FVG border color: the color and the opacity of the bearish box border.
🔵 - How to use the indicator -
Just add the indicator in your chart and click in the settings option to customize it.
Make sure you select the desired timeframes and set the colors and opacity for the FVGs boxes.
This indicator can be used in many trading strategies, such as:
SILVER BULLET
iFVG
iFVG RETEST
These strategies are based on the use of FVGs, this tool can help you analyze the market and make the right decision.
🔵 - How was the indicator designed? -
I have spent a lot of time testing other open source indicators from the community. All of these indicators do a great job, but they have a problem, they not only mitigate FVGs when a candle closes above or below the FVG, they also mitigate FVGs when the candle closes exactly to the tick (not above or below the FVG). This is a problem for many strategies that rely on FVGs mitigation.
What makes this indicator different is that it focuses on just mitigating imbalances at the right time for these strategies.
I have taken ideas and some pieces of code from many community indicator developers, such as:
@twingall
@tflab
@marktools
@nacho-fx
@pmk07
... and many other people, to whom I thank for their valuable work and have allowed me to create this tool by making modifications to their source code.
🔵 - Disclaimer -
This tool is intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. It's not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on any indicator for financial decisions.
Bollinger Bounce Reversal Strategy – Visual EditionOverview:
The Bollinger Bounce Reversal Strategy – Visual Edition is designed to capture potential reversal moves at price extremes—often termed “bounce points”—by using a combination of technical indicators. The strategy integrates Bollinger Bands, MACD, and volume analysis, and it provides rich on‑chart visual cues to help traders understand its signals and conditions. Additionally, the strategy enforces a maximum of 5 trades per day and uses fixed risk management parameters. This publication is intended for educational purposes and offers a systematic, transparent approach that you can further adjust to fit your market or risk profile.
How It Works:
Bollinger Bands:
A 20‑period simple moving average (SMA) and a user‑defined standard deviation multiplier (default 2.0) are used to calculate the Bollinger Bands.
When the price reaches or crosses these bands (i.e. falls below the lower band or rises above the upper band), it suggests that the price is in an extreme, potentially oversold or overbought, state.
MACD Filter:
The MACD (calculated with standard lengths, e.g. 12, 26, 9) provides momentum information.
For a bullish (long) signal, the MACD line should be above its signal line; for a bearish (short) signal, the MACD line should be below.
Volume Confirmation:
The strategy uses a 20‑period volume moving average to determine if current volume is strong enough to validate a signal.
A signal is confirmed only if the current volume is at or above a specified multiple (by default, 1.0×) of this moving average, ensuring that the move is supported by increased market participation.
Visual Cues:
Bollinger Bands and Fill: The basis (SMA), upper, and lower Bollinger Bands are plotted, and the area between the upper and lower bands is filled with a semi‑transparent color.
Signal Markers: When a long or short signal is generated, corresponding markers (labels) appear on the chart.
Background Coloring: The chart’s background changes color (green for long signals and red for short signals) on the bars where signals occur.
Information Table: An on‑chart table displays key indicator values (MACD, signal line, volume, average volume) and the number of trades executed that day.
Entry Conditions:
Long Entry:
A long trade is triggered when the previous bar’s close is below the lower Bollinger Band and the current bar’s close crosses above it, combined with a bullish MACD condition and strong volume.
Short Entry:
A short trade is triggered when the previous bar’s close is above the upper Bollinger Band and the current bar’s close crosses below it, with a bearish MACD condition and high volume.
Risk Management:
Daily Trade Limit: The strategy restricts trading to no more than 5 trades per day.
Stop-Loss and Take-Profit:
For each position, a stop loss is set at a fixed percentage away from the entry price (typically 2%), and a take profit is set to target a 1:2 risk-reward ratio (typically 4% from the entry price).
Backtesting Setup:
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 1 tick per bar
These realistic parameters help ensure that backtesting results reflect the conditions of an average trader.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential to backtest extensively and paper trade before any live deployment. All risk management practices are advisory, and you should adjust parameters to suit your own trading style and risk tolerance.
Conclusion:
By combining Bollinger Bands, MACD, and volume analysis, the Bollinger Bounce Reversal Strategy – Visual Edition provides a clear, systematic method to identify potential reversal opportunities at price extremes. The added visual cues help traders quickly interpret signals and assess market conditions, while strict risk management and a daily trade cap help keep trading disciplined. Adjust and refine the settings as needed to better suit your specific market and risk profile.
5-0 Harmonic Pattern [TradingFinder] 0XABCD 50 Harmonic Detector🔵 Introduction
Harmonic patterns are a powerful tool in technical analysis, widely used to detect reversal points and trend changes. Among these, the 5-0 Harmonic Pattern stands out due to its reliance on specific Fibonacci ratios—1.13, 1.618, 2.24, and 0.45 to 0.55—anchored at points 0, X, A, B, C, and D. This pattern provides a structured approach for identifying critical buy and sell points, helping traders achieve optimal entry and exit levels in volatile markets.
This 5-0 Harmonic Pattern indicator automatically detects and marks bullish and bearish formations on the chart, offering precise trading signals based on established harmonic ratios. With its dynamic signals, the 5-0 pattern enables traders to anticipate market movements and capitalize on favorable price trends.
Especially in fast-moving markets, harmonic patterns, particularly the 5-0 Harmonic Pattern, equip traders with an essential framework for identifying reversal opportunities and refining their trading strategies.
Bullish 5-0 Pattern :
Bearish 5-0 Pattern :
🔵 How to Use
The 5-0 Harmonic Pattern indicator is designed to automatically mark the key levels of the harmonic structure: 0, X, A, B, C, and D. By doing so, it detects both bullish and bearish patterns and helps traders recognize optimal entry and exit points.
Formed through specific Fibonacci levels, this pattern signals potential shifts in trend direction, giving traders critical insights for managing entries and exits effectively. The tool proves valuable in high-volatility settings, enabling traders to leverage these signals for refined decision-making.
🟣 Bullish 5-0 Pattern
A bullish 5-0 pattern materializes when Fibonacci levels indicate a potential price reversal to the upside. With points 0, X, A, B, C, and D in alignment, the indicator highlights this upward momentum by displaying a green arrow as a buy signal on the chart. This marking provides a clear entry point, indicating that prices are likely to rise, making it a prime moment for traders to enter long positions.
Additionally, the bullish 5-0 pattern is equipped with tools for traders to set stop-loss and take-profit points based on harmonic lines within the pattern, which represent support and resistance levels. Using these dynamic points, traders can create a more effective risk-reward setup while following the bullish signals in a standalone harmonic strategy.
🟣 Bearish 5-0 Pattern
The bearish 5-0 pattern functions similarly but signals a likely downturn. This pattern emerges when Fibonacci ratios align at points 0, X, A, B, C, and D, predicting a reversal downward. The indicator generates a sell signal, marked by a red arrow, prompting traders to exit long positions or initiate short trades to capitalize on falling prices.
Traders can utilize this bearish pattern for defining exit strategies and setting key levels for stop-loss and take-profit orders. The bearish 5-0 pattern enhances traders’ abilities to gauge critical price levels and manage trade risk effectively, especially in volatile markets. For traders focused on profiting from downward trends, this indicator serves as a powerful tool for timely entries and exits.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
Conclusion
The 5-0 Harmonic Pattern indicator serves as a robust solution for technical analysts and traders looking to pinpoint market reversal points. By automatically recognizing 5-0 patterns and generating buy and sell signals based on Fibonacci ratios, this tool supports precise trend analysis and entry/exit timing. The indicator’s adjustable alerts, color themes, and pattern toggles allow for comprehensive customization, ensuring alignment with individual trading strategies.
Harmonic patterns, especially the 5-0 Harmonic Pattern, guide traders in identifying high-accuracy entry and exit points, thus aiding in more informed trading decisions. By combining Fibonacci ratio analysis with real-time signal updates, this indicator provides a well-rounded approach for risk management and capitalizing on trading opportunities. Professional traders can harness this tool to enhance technical analysis precision and capitalize on price trends effectively, maximizing profitability in both bullish and bearish markets.
Shark Harmonic Pattern [TradingFinder] Shark Detector Indicator🔵 Introduction
The Shark harmonic pattern, first introduced by Scott Carney in 2011, is a recognized tool in technical analysis. Since its inception, it has been widely adopted by traders as an essential market analysis tool.
Due to its complexity, the Shark pattern can be challenging for novice traders. Therefore, we have developed the Harmonic Pattern Indicator to help analysts and traders easily identify these patterns.
🟣 Understanding the Types of Shark Pattern
In technical analysis, the Shark harmonic pattern forms at the end of trends and is categorized into two types: Bullish and Bearish Shark Patterns.
Bullish Shark Pattern : This pattern appears at the end of a downtrend, indicating a potential reversal to an uptrend. Traders can use this pattern to identify buy entry points. The image below illustrates the core components of the Bullish Shark Pattern.
Bearish Shark Pattern : Conversely, the Bearish Shark Pattern forms at the end of an uptrend, signaling a possible reversal to a downtrend. This pattern prompts traders to shift their positions from buying to selling. The image below showcases the characteristics of the Bearish Shark Pattern.
🔵 How to Use
🟣 Trading with the Bullish Shark Pattern
The Bullish Shark Pattern acts as a reversal pattern, helping traders identify the end of a downtrend and the beginning of an uptrend. It consists of five key points that indicate alternating bullish and bearish movements.
Upon the complete formation of this pattern, traders can look for opportunities to enter buy trades. To manage risk effectively, it is advisable to set a stop-loss below the lowest price point within the pattern.
🟣 Trading with the Bearish Shark Pattern
Similarly, the Bearish Shark Pattern functions as a reversal pattern but in the opposite direction. It helps traders identify the end of an uptrend and the onset of a downtrend.
After the pattern fully forms, traders can seek sell entry opportunities. As with the bullish pattern, placing a stop-loss above the highest price point within the pattern is recommended for risk management.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Format : If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The Shark harmonic pattern is a potent analytical tool in technical analysis that aids traders in identifying critical reversal points in financial markets. Whether in a bullish or bearish context, this pattern provides clear trend change signals, allowing traders to enter trades with greater precision and optimize their strategies.
However, as with all analytical methods, it is essential to supplement the Shark pattern with additional analyses and strict risk management to avoid potential losses. Incorporating this pattern into a comprehensive trading strategy can lead to better trade outcomes and more opportunities for success
Bearish 3 Bars Reversal PatternThis TradingView Pine Script indicator identifies and highlights a bearish 3-bar reversal pattern on your chart. The script also calculates the percentage difference between the current low and the previous high, displaying this value on the chart when the pattern is detected.
Features:
Pattern Detection:
The script detects a bearish 3-bar reversal pattern when the high of the previous bar is higher than the high of the bar before it, and the current high is lower than the previous high.
Percentage Difference Calculation:
When the pattern is detected, the script calculates the percentage difference between the current low and the previous high. This percentage is displayed on the chart.
Visual Indicators:
When a bearish 3-bar reversal pattern is detected, a label is created on the chart showing the calculated percentage difference. The label is styled with a downward arrow, red color, and white text for clear visibility.
Alerts:
An alert condition is set up to notify users when the bearish 3-bar reversal pattern is detected. This allows traders to take timely action based on the pattern.
Bullish 3 Bars Reversal PatternThis TradingView Pine Script indicator identifies and highlights a bullish 3-bar reversal pattern on your chart. The script also calculates the percentage difference between the current high and the previous low, displaying this value on the chart when the pattern is detected.
Features:
Pattern Detection:
The script detects a bullish 3-bar reversal pattern when the low of the previous bar is lower than the low of the bar before it, and the current low is higher than the previous low.
Percentage Difference Calculation:
When the pattern is detected, the script calculates the percentage difference between the current high and the previous low. This percentage is displayed on the chart.
Visual Indicators:
When a bullish 3-bar reversal pattern is detected, a label is created on the chart showing the calculated percentage difference. The label is styled with an upward arrow, green color, and white text for clear visibility.
Alerts:
An alert condition is set up to notify users when the bullish 3-bar reversal pattern is detected. This allows traders to take timely action based on the pattern.
Mean Reversion Watchlist [Z score]Hi Traders !
What is the Z score:
The Z score measures a values variability factor from the mean, this value is denoted by z and is interpreted as the number of standard deviations from the mean.
The Z score is often applied to the normal distribution to “standardize” the values; this makes comparison of normally distributed random variables with different units possible.
This popular reversal based indicator makes an assumption that the sample distribution (in this case the sample of price values) is normal, this allows for the interpretation that values with an extremely high or low percentile or “Z” value will likely be reversal zones.
This is because in the population data (the true distribution) which is known, anomaly values are very rare, therefore if price were to take a z score factor of 3 this would mean that price lies 3 standard deviations from the mean in the positive direction and is in the ≈99% percentile of all values. We would take this as a sign of a negative reversal as it is very unlikely to observe a consecutive equal to or more extreme than this percentile or Z value.
The z score normalization equation is given by
In Pine Script the Z score can be computed very easily using the below code.
// Z score custom function
Zscore(source, lookback) =>
sma = ta.sma(source, lookback)
stdev = ta.stdev(source, lookback, true)
zscore = (source - sma) / stdev
zscore
The Indicator:
This indicator plots the Z score for up to 20 different assets ( Note the maximum is 40 however the utility of 40 plots in one indicator is not much, there is a diminishing marginal return of the number of plots ).
Z score threshold levels can also be specified, the interpretation is the same as stated above.
The timeframe can also be fixed, by toggling the “Time frame lock” user input under the “TIME FRAME LOCK” user input group ( Note this indicator does not repain t).
Support & Resistance AI (K means/median) [ThinkLogicAI]█ OVERVIEW
K-means is a clustering algorithm commonly used in machine learning to group data points into distinct clusters based on their similarities. While K-means is not typically used directly for identifying support and resistance levels in financial markets, it can serve as a tool in a broader analysis approach.
Support and resistance levels are price levels in financial markets where the price tends to react or reverse. Support is a level where the price tends to stop falling and might start to rise, while resistance is a level where the price tends to stop rising and might start to fall. Traders and analysts often look for these levels as they can provide insights into potential price movements and trading opportunities.
█ BACKGROUND
The K-means algorithm has been around since the late 1950s, making it more than six decades old. The algorithm was introduced by Stuart Lloyd in his 1957 research paper "Least squares quantization in PCM" for telecommunications applications. However, it wasn't widely known or recognized until James MacQueen's 1967 paper "Some Methods for Classification and Analysis of Multivariate Observations," where he formalized the algorithm and referred to it as the "K-means" clustering method.
So, while K-means has been around for a considerable amount of time, it continues to be a widely used and influential algorithm in the fields of machine learning, data analysis, and pattern recognition due to its simplicity and effectiveness in clustering tasks.
█ COMPARE AND CONTRAST SUPPORT AND RESISTANCE METHODS
1) K-means Approach:
Cluster Formation: After applying the K-means algorithm to historical price change data and visualizing the resulting clusters, traders can identify distinct regions on the price chart where clusters are formed. Each cluster represents a group of similar price change patterns.
Cluster Analysis: Analyze the clusters to identify areas where clusters tend to form. These areas might correspond to regions of price behavior that repeat over time and could be indicative of support and resistance levels.
Potential Support and Resistance Levels: Based on the identified areas of cluster formation, traders can consider these regions as potential support and resistance levels. A cluster forming at a specific price level could suggest that this level has been historically significant, causing similar price behavior in the past.
Cluster Standard Deviation: In addition to looking at the means (centroids) of the clusters, traders can also calculate the standard deviation of price changes within each cluster. Standard deviation is a measure of the dispersion or volatility of data points around the mean. A higher standard deviation indicates greater price volatility within a cluster.
Low Standard Deviation: If a cluster has a low standard deviation, it suggests that prices within that cluster are relatively stable and less likely to exhibit sudden and large price movements. Traders might consider placing tighter stop-loss orders for trades within these clusters.
High Standard Deviation: Conversely, if a cluster has a high standard deviation, it indicates greater price volatility within that cluster. Traders might opt for wider stop-loss orders to allow for potential price fluctuations without getting stopped out prematurely.
Cluster Density: Each data point is assigned to a cluster so a cluster that is more dense will act more like gravity and
2) Traditional Approach:
Trendlines: Draw trendlines connecting significant highs or lows on a price chart to identify potential support and resistance levels.
Chart Patterns: Identify chart patterns like double tops, double bottoms, head and shoulders, and triangles that often indicate potential reversal points.
Moving Averages: Use moving averages to identify levels where the price might find support or resistance based on the average price over a specific period.
Psychological Levels: Identify round numbers or levels that traders often pay attention to, which can act as support and resistance.
Previous Highs and Lows: Identify significant previous price highs and lows that might act as support or resistance.
The key difference lies in the approach and the foundation of these methods. Traditional methods are based on well-established principles of technical analysis and market psychology, while the K-means approach involves clustering price behavior without necessarily incorporating market sentiment or specific price patterns.
It's important to note that while the K-means approach might provide an interesting way to analyze price data, it should be used cautiously and in conjunction with other traditional methods. Financial markets are influenced by a wide range of factors beyond just price behavior, and the effectiveness of any method for identifying support and resistance levels should be thoroughly tested and validated. Additionally, developments in trading strategies and analysis techniques could have occurred since my last update.
█ K MEANS ALGORITHM
The algorithm for K means is as follows:
Initialize cluster centers
assign data to clusters based on minimum distance
calculate cluster center by taking the average or median of the clusters
repeat steps 1-3 until cluster centers stop moving
█ LIMITATIONS OF K MEANS
There are 3 main limitations of this algorithm:
Sensitive to Initializations: K-means is sensitive to the initial placement of centroids. Different initializations can lead to different cluster assignments and final results.
Assumption of Equal Sizes and Variances: K-means assumes that clusters have roughly equal sizes and spherical shapes. This may not hold true for all types of data. It can struggle with identifying clusters with uneven densities, sizes, or shapes.
Impact of Outliers: K-means is sensitive to outliers, as a single outlier can significantly affect the position of cluster centroids. Outliers can lead to the creation of spurious clusters or distortion of the true cluster structure.
█ LIMITATIONS IN APPLICATION OF K MEANS IN TRADING
Trading data often exhibits characteristics that can pose challenges when applying indicators and analysis techniques. Here's how the limitations of outliers, varying scales, and unequal variance can impact the use of indicators in trading:
Outliers are data points that significantly deviate from the rest of the dataset. In trading, outliers can represent extreme price movements caused by rare events, news, or market anomalies. Outliers can have a significant impact on trading indicators and analyses:
Indicator Distortion: Outliers can skew the calculations of indicators, leading to misleading signals. For instance, a single extreme price spike could cause indicators like moving averages or RSI (Relative Strength Index) to give false signals.
Risk Management: Outliers can lead to overly aggressive trading decisions if not properly accounted for. Ignoring outliers might result in unexpected losses or missed opportunities to adjust trading strategies.
Different Scales: Trading data often includes multiple indicators with varying units and scales. For example, prices are typically in dollars, volume in units traded, and oscillators have their own scale. Mixing indicators with different scales can complicate analysis:
Normalization: Indicators on different scales need to be normalized or standardized to ensure they contribute equally to the analysis. Failure to do so can lead to one indicator dominating the analysis due to its larger magnitude.
Comparability: Without normalization, it's challenging to directly compare the significance of indicators. Some indicators might have a larger numerical range and could overshadow others.
Unequal Variance: Unequal variance in trading data refers to the fact that some indicators might exhibit higher volatility than others. This can impact the interpretation of signals and the performance of trading strategies:
Volatility Adjustment: When combining indicators with varying volatility, it's essential to adjust for their relative volatilities. Failure to do so might lead to overemphasizing or underestimating the importance of certain indicators in the trading strategy.
Risk Assessment: Unequal variance can impact risk assessment. Indicators with higher volatility might lead to riskier trading decisions if not properly taken into account.
█ APPLICATION OF THIS INDICATOR
This indicator can be used in 2 ways:
1) Make a directional trade:
If a trader thinks price will go higher or lower and price is within a cluster zone, The trader can take a position and place a stop on the 1 sd band around the cluster. As one can see below, the trader can go long the green arrow and place a stop on the one standard deviation mark for that cluster below it at the red arrow. using this we can calculate a risk to reward ratio.
Calculating risk to reward: targeting a risk reward ratio of 2:1, the trader could clearly make that given that the next resistance area above that in the orange cluster exceeds this risk reward ratio.
2) Take a reversal Trade:
We can use cluster centers (support and resistance levels) to go in the opposite direction that price is currently moving in hopes of price forming a pivot and reversing off this level.
Similar to the directional trade, we can use the standard deviation of the cluster to place a stop just in case we are wrong.
In this example below we can see that shorting on the red arrow and placing a stop at the one standard deviation above this cluster would give us a profitable trade with minimal risk.
Using the cluster density table in the upper right informs the trader just how dense the cluster is. Higher density clusters will give a higher likelihood of a pivot forming at these levels and price being rejected and switching direction with a larger move.
█ FEATURES & SETTINGS
General Settings:
Number of clusters: The user can select from 3 to five clusters. A good rule of thumb is that if you are trading intraday, less is more (Think 3 rather than 5). For daily 4 to 5 clusters is good.
Cluster Method: To get around the outlier limitation of k means clustering, The median was added. This gives the user the ability to choose either k means or k median clustering. K means is the preferred method if the user things there are no large outliers, and if there appears to be large outliers or it is assumed there are then K medians is preferred.
Bars back To train on: This will be the amount of bars to include in the clustering. This number is important so that the user includes bars that are recent but not so far back that they are out of the scope of where price can be. For example the last 2 years we have been in a range on the sp500 so 505 days in this setting would be more relevant than say looking back 5 years ago because price would have to move far to get there.
Show SD Bands: Select this to show the 1 standard deviation bands around the support and resistance level or unselect this to just show the support and resistance level by itself.
Features:
Besides the support and resistance levels and standard deviation bands, this indicator gives a table in the upper right hand corner to show the density of each cluster (support and resistance level) and is color coded to the cluster line on the chart. Higher density clusters mean price has been there previously more than lower density clusters and could mean a higher likelihood of a reversal when price reaches these areas.
█ WORKS CITED
Victor Sim, "Using K-means Clustering to Create Support and Resistance", 2020, towardsdatascience.com
Chris Piech, "K means", stanford.edu
█ ACKNOLWEDGMENTS
@jdehorty- Thanks for the publish template. It made organizing my thoughts and work alot easier.
Trend Change DetectorThe trend change detector oscillator is a tool designed to help traders identify the current trend direction paired with the potential reversal zones.
The oscillator is made of multiple parts:
- The colored histogram, that displays the current long-term trend direction (long if above 0, short if below)
- The trend line, which shows the price in relation to the fair value of the current trend
- The reversal zones, which are the area that alarms the traders that the price might reverse soon after having touched them
The indicator can work with three different inputs. In the Source panel, you can choose between "Price", "Price and Volume" and "Ponderated Volume". The price input uses only the price, the price and volume use the average between the price and the ponderated volume, and the ponderated volume shows the indicator working with volume data, with formulas such as the On Balance Volume and the Accumulation-Distribution line.
This indicator can be used both for trend following technique, using the cross of the trend line with the 0-line as signals in conjunction with the bias given by the histogram, and for mean reversal technique thanks to the reversal zones that allow traders to identify potential tops and bottoms.
SuperTrend Enhanced Pivot Reversal - Strategy [PresentTrading]
- Introduction and How it is Different
The SuperTrend Enhanced Pivot Reversal is a unique approach to trading that combines the best of two worlds: the precision of pivot reversal points and the trend-following power of the SuperTrend indicator. This strategy is designed to provide traders with clear entry and exit points, while also filtering out potentially false signals using the SuperTrend indicator.
BTCUSDT 6hr
ETHBTC 6hr
Unlike traditional pivot reversal strategies, this approach uses the SuperTrend indicator as a filter. This means that it only takes trades that align with the overall trend, as determined by the SuperTrend indicator. This can help to reduce the number of false signals and improve the overall profitability of the strategy.
The Pivot Reversal Strategy with SuperTrend Filter is particularly well-suited to the cryptocurrency market for the reason of High Volatility. This means that prices can change rapidly in a very short time, making it possible to make a profit quickly. The strategy's use of pivot points allows traders to take advantage of these rapid price changes by identifying potential reversal points
- Strategy: How it Works
The strategy works by identifying pivot reversal points, which are points in the price chart where the price is likely to reverse. These points are identified using a combination of the ta.pivothigh and ta.pivotlow functions, which find the highest and lowest points in the price chart over a certain period.
Once a pivot reversal point is identified, the strategy checks the direction of the SuperTrend indicator. If the SuperTrend is positive (indicating an uptrend), the strategy will only take long trades. If the SuperTrend is negative (indicating a downtrend), the strategy will only take short trades.
The strategy also includes a stop loss level, which is set as a percentage of the entry price. This helps to limit potential losses if the price moves in the opposite direction to the trade.
- Trade Direction
The trade direction can be set to "Long", "Short", or "Both". This allows the trader to choose whether they want to take only long trades (buying low and selling high), only short trades (selling high and buying low), or both. This can be useful depending on the trader's view of the market and their risk tolerance.
- Usage
To use the Pivot Reversal Strategy with SuperTrend Filter, simply input the desired parameters into the script and apply it to the price chart of the asset you wish to trade. The strategy will then identify potential trade entry and exit points, which will be displayed on the price chart.
- Default Settings
The default settings for the strategy are as follows:
ATR Length: 5
Factor: 2.618
Trade Direction: Both
Stop Loss Level: 20%
Commission: 0.1%
Slippage: 1
Currency: USD
Each trade: 10% of account equity
Initial capital: $10,000
These settings can be adjusted to suit the trader's preferences and risk tolerance. Always remember to test any changes to the settings using historical data before applying them to live trades.
Typical Price Difference - TPD © with reversal zones and signalsv1.0 NOTE: The maths have been tested only for BTC and weekly time frame.
This is a concept that I came through after long long hours of VWAP trading and scalping.
The idea is pretty simple:
1) Typical Price is calculated by (h+l+c) / 3. If we take this price and adjust it to volume we get the VWAP value. The difference between this value and the close value, i call it " Typical Price Difference - TPD ".
2) We get the Historical Volatility as calculated by TradingView script and we add it up to TPD and divide it by two (average). This is what I call " The Source - TS ".
3) We apply the CCI formula to TS .
4) We calculate the Rate of Change (roc) of the CCI formula.
5) We apply the VIX FIX of Larry Williams (script used is from ChrisMoody - CM_Williams_Vix_Fix Finds Market Bottoms) *brilliant script!!!
How to use it:
a) When the (3) is over the TPD we have a bullish bias (green area). When it's under we have a bearish bias (red area).
b) If the (1) value goes over or under a certain value (CAUTION!!! it varies in different assets or timeframes) we get a Reversal Zone (RZ). Red/Green background.
c) If we are in a RZ and the VIX FIX gives a strong value (look for green bars in histogram) and roc (4) goes in the opposite direction, we get a reversal signal that works for the next week(s).
I applied this to BTC on a weekly time frame and after some corrections, it gives pretty good reversal zones and signals. Especially bottoms. Also look for divergences in the zones/signals.
As I said I have tested and confirmed it only on BTC/weekly. I need more time with the maths and pine to automatically adjust it to other time frames. You can play with it in different assets or time frames to find best settings by hand.
Feel free to share your thoughts or ideas on this.
P.S. I realy realy realy try to remember when or how or why I came up with the idea to combine typical price with historical volatility and CCI. I can't! It doesn't make any sense LOL
TASC 2022.12 Short-Term Continuation And Reversal Signals█ OVERVIEW
TASC's December 2022 edition Traders' Tips includes an article by Barbara Star titled "Short-Term Continuation And Reversal Signals". This is the code that implements the concepts presented in this publication.
█ CONCEPTS
The article takes two classic indicators, the Commodity Channel Index (CCI) and the Directional Movement Indicator (DMI), makes changes to the traditional ways of visualizing their readings, and uses them together to generate potential signals. The author first discusses the benefits of converting the DMI indicator to an oscillator format by subtracting the −DI from the +DI, which is then displayed as a histogram. Next, the author shows how the use of an on-chart visual framework (i.e., choosing the line style and color, coloring price bars, etc.) can help traders interpret the signals produced the considered pair of indicators.
█ CALCULATIONS
The article offers the following signals based on the readings of the DMI and CCI pair, suitable for several types of trades:
• Short-term trend change signals:
A DMI oscillator above zero indicates that prices are in an uptrend. A DMI oscillator below the zero line and falling means that selling pressure is dominating and price is trending down. The sign of the DMI oscillator is indicated by the color of the price bars (which correlates with the color of the DMI histogram). Namely, green, red and grey price bars correspond to the DMI oscillator above, below and equal to zero . Colored price bars and the DMI oscillator make it easy for trend traders to recognize changes in short-term trends.
• Trend continuation signals:
Blue circles appear near the bottom of the oscillator chart border when the DMI is above the zero line and the price is above its simple moving average in an uptrend . Dark red circles appear near the top of the chart in a downtrend when the DMI oscillator is below its zero line and below the 18-period moving average. Trend continuation signals are useful for those looking to add to existing positions, as well as for traders waiting for a pullback after a trend has started.
• Reversal signals:
The CCI signals a reversal to the downside when it breaks out of its +100 and then returns at some point, crossing below the +100 level. This is indicated by a magenta-colored diamond shape near the top the chart. The CCI signals a reversal to the upside when it moves below its −100 level and then at some point comes back to cross above the −100 level. This is indicated by a yellow diamond near the bottom of the chart. Reversal signals offer short-term rallies for countertrend traders as well as for swing traders looking for longer-term moves using the interplay between continuation and reversal signals.
Index Reversal Range with Volatility Index or VIXWhat is the Indicator?
• The indicator is a visualization of maximum price in which the respective index can go up to in comparison with it's Volatility Index or VIX.
Who to use?
• Intraday
• Swing
• Position
• Long term Investors
• Futures
• Options
• Portfolio Managers
• Mutual Fund Managers
• Index Traders
• Volatility based Traders
• Long term Investors and Options Traders gets the maximum benefit
What timeframe to use?
• 1 Year: Position & Investors
• 6 Months: Position & Investors
• 3 Months: Swing & Position
• 1 Month: Swing & Position
• 1 Week: Swing
• 1 Day: Swing
• 1 Hour: Intraday & Swing
What are Upper and Lower lines?
• Upper Line: If the index price reach closer to the Upper line there is a high chance of reversal to Bearish trend.
• Lower Line: If the index price reach closer to the Lower line there is a high chance of reversal to Bullish trend.
• This need to be confirmed with multiple levels like Daily, Weekly, Monthly etc.
How to use?
• If the price reach closer to that level there is a high chance of reversal from the current trend.
• To identify the reversal zone of the index.
• To identify the trend.
• Option Traders can Sell a Call or Put Option from that level.
• Long term Investors, Position or Swing traders can plan for a Long entry.
• Intraday traders can use lower timeframes to do the same.
Indicator Menu
• Input VIX: Identify the VIX Symbol of your Index and type it in the box.
• For example for NIFTY Index chart type INDIAVIX in the box.
• Choose multiple timeframes according to your convenience.
How to turn on indicator Name and Value labels?
• Right side of the screen >
• Right click on the Price scale >
• Labels > Indicators and financial name labels, Indicators and financial value labels
Further Reading:
• Various videos and reading materials are available about this method.
wnG - Spikes IdentifierThis indicator, based on the ATR, allows you to identify the potential reversal on price and helps you identify the Support and Resistance.
When the price moves far away from the multiple moving average, the background color changes :
- Red for Short potential entry
- Green for Long potential entry
There are 2 ways to use this script :
- Conservative : Use it in your trading system to Take Profit ==> when the background turns red, close LONG position (and green = close short).
- Aggressive : As soon as the background turns red, enter SHORT (and green = long).
For aggressive use, I recommand you to couple this script with an oscillator to confirm the signals (RSI stochastic for example).
You can customize the sensibility with 4 levels :
- low probability of reversal
- medium probability of reversal
- high probability of reversal
- very high probability of reversal
PS : the "High" and "Very High" probability setup are the only one I'm using in my trading systems.
[blackcat] L2 Reversal Labels StrategyLevel: 2
Background
There is a Chinese proverb that says: "The great way leads to simplicity". This indicator is the representative of this meaning. Through the processing of the most common MACD indicator data, it is possible to quickly determine the market price: whether the current price is at a historical high or low, whether a reversal will happen soon, etc. at a glance.
Function
This is the strategy version of the same indicator which performs screening and filtering through the fast and slow line data corresponding to the output of the standard MACD indicator, so as to realize the function of judging the top and bottom of the trend.
Inputs
N/A
Key Signal
Near Top --> Top is reached and reversal may happen soon. (red labels)
Near Bottom --> Bottom is reached and reversal may happen soon. (green labels)
Remarks
The backtest result is picked up and optimized for BTCUSD '2D' time frame, it does not work constantly well for any time frame. You need to combine other indicators for other trading pair and time frame.
You can add alerts for this version.
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
Simplified candlesticksSimplified candlesticks tracks sticks for their body and wick
- For Long bars sticks ( LS ) tracks and marks them on down trend as continuation and reversal if moves appositive direction.
- For largest wicks on ends marks as regular Doji
- For large wicks and medium body marks as possible consolidation
- For only bottom bigger wick as bears weakness if trend down and possible reversal if trend is up.
- For only upper bigger wick as bulls weakness if trend up and possible reversal if trend is down
[blackcat] L2 Reversal LabelsLevel: 2
Background
There is a Chinese proverb that says: "The great way leads to simplicity". This indicator is the representative of this meaning. Through the processing of the most common MACD indicator data, it is possible to quickly determine the market price: whether the current price is at a historical high or low, whether a reversal will happen soon, etc. at a glance.
Function
This indicator performs screening and filtering through the fast and slow line data corresponding to the output of the standard MACD indicator, so as to realize the function of judging the top and bottom of the trend.
Inputs
N/A
Key Signal
Near Top --> Top is reached and reversal may happen soon. (red labels)
Near Bottom --> Bottom is reached and reversal may happen soon. (green labels)
Remarks
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
Red Dog Reversal IntradayAlerts and bubbles for Red Dog Reversal (RDR) Buy/Sell on intraday chart. Optionally plots prior day High/Low/Close and alerts on price crosses of those prior levels.
Definitions:
Red Dog Reversal (RDR) sell is when the price trades below the prior day's low , then reclaims it in the same session. This is will marked with a bubble and alerted.
Red Dog Reversal (RDR) buy is when the price trades above the prior day's high , then loses it in the same session. This will be marked with a bubble and alerted.
Configuration:
Enable Alert Crossover to alert when price crosses over or under any prior day's level, i.e. High, Low, Close.
Enable Alert Reversal to alert when Red Dog Reversal Buy or Sell.
Note:
To get alerts you must create alerts on your chart, and in the configuration select RDR as the condition . Then in the Alert name select RDR: Any alert() function call
Bollinger Band Reversal StudyThis strategy was inspired by ParallaxFX.
This strategy attempts to predict when a price reversal will happen. It uses bollinger bands, stochastics and candle formations.
The idea is that when an indecision candle, such as a doji, crosses outside the bollinger bands, then is followed by another candle that pushed sharply back inside the bands, you have a setup.
These setups are marked with green arrows to go long and red arrows to go short. Wait until the next candle begins before acting. The arrow may come and go as the price fluctuates, so wait until the candle closes.
Another play is when the same setup occurs, but on the middle bollinger band instead of the outer band.
These setups are marked with blue arrows to go long and yellow arrows to go short. Wait until the next candle begins before acting. The arrow may come and go as the price fluctuates, so wait until the candle closes.
Closing can happen a number of ways. You can use a predetermined risk-reward or look to sell when the price reaches another band.
In summary.
Go long when a green or blue arrow appears.
Go Short when a red or yellow arrow appears.
Green arrows show signs of reversal from lower BB.
Blue arrows show signs of reversal from middle BB.
Red arrows show signs of reversal from upper BB.
Yellow arrows show signs of reversal from middle BB.
Wait for candle with arrow to close before taking trade.
Bollinger Band Strategy (Basic) Version 1 This strategy is for learning purposes only. Pay special attention to these strategies on longer aggregation periods (like 1 hr chart or more). Don't expect accurate results when you set a limit to 10 cents above your entry to be accurate. For example if you set the chart to 1 day, the price may move down and hit a stop 10 times then tag your limit. If this doesn't make sense, just don't use strategies here. Learn more first. That being said, I don't have specific recommendations for each aggregation period, backtesting isn't always perfect.
Now then, this strategy can be used as the traditional BB method by setting the "Stop" and "Limit Out" to like 10000, check "Reversal Entry" and uncheck "Limit Time of Day" This will keep the strategy running just reverse your position when price crosses outside each band.
INPUTS:
Length - length of WMA that I used for mean of Bollinger Band (this may suppose to be SMA, too bad)
Source - O-H-L-C basis for WMA
Deviation - normal Standard deviation that would be set when using Bollinger Band
Trailing stop check box - your stop value will be either a hard stop or trailing stop for an exit
Stop - the stop value - remember you can set this really high and it won't stop out
Limit Out - the limit value for exit
Reversal Entry check box - This changes each entry from a reversal (traditional idea of BB) to enter a trend trade - hopefully version 2 will have choice to trend one direction and reversal in the other.
Limit Time of Day - Especially when trading futures, you may want to only trade a specific time of day, when this box is checked, you can set the entry times below, exit will still only occur based on limit/stop or a flip entry order (the opposite entry condition is met)
Tips:
when I don't know a thing about a price range, like gold. I can set the limit out to 10000 and play with a trailing stop to get a better idea of what is even possible before tuning further.
Liquidity Sweep Reversal [Grimoire]The Liquidity Sweep Reversal indicator is designed to spot potential turning points by watching for “liquidity sweeps” above key prior highs. Specifically, it marks when price briefly pushes above levels such as:
The high of the previous candle
The high of the prior trading day
The high of the previous week
These sweeps often trigger stop-hunts or liquidity hunts, after which price frequently reverses. By highlighting those moments, the indicator helps you anticipate and trade these reversal moves more easily.
OB Sweeps ReversalOB Sweeps Reversal is a high-precision market structure tool that identifies and dynamically tracks bullish and bearish order blocks — key zones where institutional participants are likely to be active. These zones act as support and resistance levels, adapting to market behavior in real time.
The script monitors price interaction with each OB and classifies its status as:
Unmitigated (price has not yet returned)
Mitigating (price is testing the zone)
Invalidated (zone has been broken)
Traders can use these zones directly as actionable support/resistance — or wait for additional confirmation via the system’s liquidity sweep detection and optional filters.
🔍 Key Features:
Automatically detects and plots bullish and bearish OBs
Tracks mitigation status and updates visuals accordingly
Detects liquidity sweeps of recent highs/lows
Optional filters:
• 200 EMA trend direction
• Momentum of current or previous candle
Plots stop-loss and take-profit lines using ATR-based logic
Clean entry labels with full contextual data
Built-in alert system with constant-string messages (automation ready)
📈 How to Use:
Load the script on any timeframe (15m–4H recommended)
Observe the live OB zones as they develop
Trade based on price interaction:
• Bounce off a bullish OB = potential long setup
• Rejection from a bearish OB = potential short
• Sweep + snapback into an OB = optional trap reversal entry
SL/TP levels are drawn automatically for reference
Use alerts to automate or monitor high-conviction setups
The order blocks themselves are valuable on their own — even without waiting for a signal. They can be used as dynamic support and resistance zones, offering excellent structure-based trading opportunities.
🧠 Ideal For:
Traders who follow price action and market structure
Those using support/resistance, OBs, or supply/demand
Intraday and swing traders looking for cleaner structure alignment
Users who prefer low-frequency, high-quality setups
⚠️ Note:
This tool does not produce frequent signals. It is designed for precision and discipline, with a focus on clarity and confluence. It complements — not replaces — a trader’s decision-making process.
This script is open-source and designed with integrity, precision, and trader usability in mind. No links, no upsells, no promotions — just a reliable system for structural market analysis.
