Head and Shoulders PatternHello Traders!
The Head and Shoulders Pattern indicator utilizes a unique swing-based pattern recognition to pinpoint head and shoulders patterns in real-time with unparalleled precision.
The head and shoulders chart pattern is a technical analysis pattern used to identify potential trend reversals in financial markets. It consists of three swing highs (peaks), with the middle peak being the highest and the two outside swing highs being slightly lower. The middle peak is referred to as the "head" and the two outside peaks are referred to as the "shoulders."
The pattern typically forms after an uptrend and is in most cases a bearish signal. The neckline is a support level that connects the lows of the two shoulders. Once the price breaks below the neckline, the pattern is confirmed, and a new down trend starts. Conversely, an "inverse head and shoulders" pattern forms after a downtrend and is a bullish signal.
Feature List
Real-time pattern detection
Visualization of entry, stop-loss and take-profit levels
Pattern performance statistics
Calculation of risk-rewards ratio
Risk Management
Breakout alerts
Customizable pattern size and accuracy
Customizable look and feel
The value of this indicator is to support traders to easily identify the Head and Shoulders pattern in an automated way. The special swing-based pattern recognition and the numerous built-in premium features make this indicator unique. The trader saves a lot of time scanning the markets for head and shoulders patterns, since everything is done automatically for the trader: Finding the pattern, looking and alerting for a breakout, computing the entry, stop loss and take profit levels as well as handling the risk management and computing the optimal order quantity.
How to Trade with the TRN Head and Shoulders Indicator
Identify the Pattern
Add the Head and Shoulders Pattern Indicator to your chart and look for the pattern on the asset and timeframe of your choice. The pattern is detected in real-time. If the pattern develops further in the next bars, then the indicator updates the pattern accordingly until a breakout is confirmed or the pattern becomes invalid.
You can also use the built-in alerts to easily get notified when a pattern occurs. In the indicator settings in the "Alerts" section you can choose whether you want to get notified when a pattern is
1. in the making (Pattern active),
2. confirms an up breakout (B/O Up Confirmed)
3. confirms a down breakout (B/O Down Confirmed)
4. (Unconfirmed) in case a pattern breakout occurs, even if the pattern is not yet confirmed
This allows you to stay informed about potential breakout opportunities that are still awaiting confirmation.
Check Pattern Statistics
The pattern statistics make it easy for you to see how successful a pattern is on the asset and timeframe you are watching. You should always check the statistics before entering a trade. The chart displays the statistics in the upper right corner. These statistics are categorized into two sections: "long" for inverse head and shoulders patterns and "short" for head and shoulders patterns.
In the initial columns, labeled as "short" and "long", the identified breakouts are further divided based on whether the risk-reward ratio (R) is below a specified value (< x) or equal to/greater than the specified value (>= x). The following columns represent the count of the events:
1. Occ. (Occurrence) categorized according to the values of R from the first column
2. TP1, TP2, TP3 (Take Profit) - targets 1, 2 and 3
3. SL (Stop Loss)
4. T/O (Time Out) - neither stop loss or targets where hit in a certain amount of time
Breakout – Entry, Stop Loss and Targets
The indicator automatically displays the entry price line (EP) in grey at the point where the price breaks through the neckline, indicating a breakout. Once a breakout has been confirmed, place a buy order near the EP level for a long position, or a sell order for a short position. Set your stop-loss at the price level of the red stop-loss line (SL) and set your take-profits at the price level of the green take-profit-lines (TP1, TP2, TP3).
Risk Management
The Head and Shoulders Pattern Indicator comes with a built-in risk management feature. Just go to the settings and scroll down to the section "Risk Management". Here you can enter your Account Size and the percentage you want to Risk when you enter a position after a pattern breakout.
In the "Trade Management" section, you have the option to define the minimum accepted risk-reward ratio for confirmed rectangles. This means that breakouts of patterns failing to meet the minimum risk-reward ratio will not be considered as confirmed signals. If a breakout gets confirmed, the indicator automatically calculates the position size (Quantity). You can read the quantity from the gray entry point line (EP), which is located to the right of the risk-reward ratio (R). Note that your risk-reward ratio (R) is calculated based on TP1.
Customization and Settings
The indicator can scan for smaller and larger patterns at the same time. Adjust the Head and Shoulders Sizes in the indicator settings to align them with your preferences. A larger size results in larger patterns. Depending on the asset class, the market or the market phase, different sizes should be used for the Head and Shoulders pattern detection.
To detect more patterns, increase the tolerance level, even though it may result in lower accuracy. However, be mindful that a higher tolerance level may result in more patterns hitting their stop-loss. Look for a tolerance level that leads to favorable statistics and focus on trading patterns with a proven performance history.
Finally, you have the flexibility to customize various visual elements, such as the color of the pattern and whether to display values like price, target, or risk-reward ratio on your chart. You can also choose where these values appear.
Computation Details
The real-time detection of the Head and Shoulders Pattern Indicator utilizes a unique swing-based pattern recognition. The difference to other swing-based computations is that the pivot points are identified without a look-ahead value. The result is a faster and better real-time detection. Furthermore, the detection of the ratios between the single swings is based on a dynamic volatility measurement similar to the ATR. The tolerance level unites several internal parameters into one and results in a user-friendly setting.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
Trading
Harmonic Patterns SuiteHello Traders!
This indicator takes the time-consuming search for harmonic patterns completely off your hands. TRN Harmonics utilizes a unique swing-based pattern recognition to pinpoint 14 different harmonic patterns in real-time with unparalleled precision.
Pattern List (each pattern has a bullish and a bearish version)
Gartley
Bat
Butterfly
Crab
Cypher
Shark
5-0
Feature List
Real-time harmonic pattern detection
7 different built-in breakout conditions
Visualization of entry, stop-loss and take-profit levels
Pattern performance statistics
Calculation of risk-rewards ratio
Risk Management
Breakout alerts
Customizable pattern size and accuracy
Customizable look and feel
The value of this indicator is to support traders to easily identify harmonic patterns in an automated way. The special swing-based pattern recognition and the numerous built-in premium features make this indicator unique. The trader saves a lot of time scanning the markets for harmonic patterns, since everything is done automatically for the trader: Finding the pattern, looking and alerting for a breakout, computing the entry, stop loss and take profit levels as well as handling the risk management and computing the optimal order quantity.
How to Trade with the Harmonic Patterns Suite
Identify the Pattern
Add the Harmonic Patterns Suite to your chart and look for patterns on the asset and timeframe of your choice. The patterns are detected in real-time. If a pattern develops further in the next bars, then the indicator updates the pattern accordingly until a breakout is confirmed or the pattern becomes invalid.
You can also use the built-in alerts to easily get notified when a pattern occurs. In the indicator settings in the "Alerts" section you can choose whether you want to get notified when a pattern is
1. in the making (Pattern active),
2. confirms an up breakout (B/O Up Confirmed)
3. confirms a down breakout (B/O Down Confirmed)
4. (Unconfirmed) in case a pattern breakout occurs, even if the pattern is not yet confirmed
This allows you to stay informed about potential breakout opportunities that are still awaiting confirmation.
Check Pattern Statistics
The pattern statistics make it easy for you to see how successful a pattern is on the asset and timeframe you are watching. You should always check the statistics before entering a trade. The chart displays the statistics in the upper right corner. These statistics are categorized into two sections: "long" for patterns with an upward breakout and "short" for patterns with a downward breakout.
In the initial columns, labeled as "short" and "long", the identified breakouts are further divided based on the different harmonic patterns. The following columns represent the count of the events:
1. Occ. (Occurrence) categorized according to the values of R from the first column
2. TP1, TP2 (Take Profit) - targets 1 und 2
3. SL (Stop Loss)
4. T/O (Time Out) - neither stop loss or targets where hit in a certain amount of time
Breakout – Entry, Stop Loss and Targets
The indicator automatically displays the entry price line (EP) in grey at the point where the breakout got detected. Once a breakout has been confirmed, place a buy order near the EP level for a long position, or a sell order for a short position. Set your stop-loss at the price level of the red stop-loss line (SL) and set your take-profits at the price level of the green take-profit-lines (TP1, TP2).
Risk Management
The Harmonic Patterns Suite comes with a built-in risk management feature. Just go to the settings and scroll down to the section "Risk Management". Here you can enter your Account Size and the percentage you want to Risk when you enter a position after a pattern breakout.
In the "Trade Management" section, you have the option to define the minimum accepted risk-reward ratio for confirmed harmonic patterns. This means that breakouts of patterns failing to meet the minimum risk-reward ratio will not be considered as confirmed signals. If a breakout gets confirmed, the indicator automatically calculates the position size (Quantity). You can read the quantity from the gray entry point line (EP), which is located to the right of the risk-reward ratio (R). Note that your risk-reward ratio (R) is calculated based on TP1.
Customization and settings
The indicator can scan for smaller and larger patterns at the same time. Adjust the harmonics size in the indicator settings to align them with your preferences. A larger size results in larger consolidations. Depending on the asset class, the market or the market phase, different sizes can be used for pattern detection.
To detect more patterns, increase the tolerance level, even though it may result in lower accuracy. However, be mindful that a higher tolerance level may result in more patterns hitting their stop-loss. Look for a tolerance level that leads to favorable statistics and focus on trading patterns with a proven performance history.
Finally, you have the flexibility to customize various visual elements, such as the color of the pattern and whether to display values like price, target, or risk-reward ratio on your chart. You can also choose where these values appear.
Breakout Conditions
Identifying breakout conditions is paramount for successfully recognizing and capitalizing on chart patterns. Trading tools equipped with diverse breakout conditions offer traders a comprehensive approach to deciphering market trends and making informed decisions.
This section delves into the set of breakout conditions built within TRN Harmonics, exploring their functionalities, applications, and the benefits they provide in the realm of chart pattern recognition.
TRN Bars Signal + Trend
The Harmonics Pattern Suite includes also the TRN Bars algorithm. It is designed to spot bullish and bearish trends and reversals. The trend analysis is based on a new algorithm that weights several different inputs:
1. classical and advanced bar patterns and their statistical frequency
2. probability distributions of price expansions after certain bar patterns
3. bar information such as wick length in %, overlapping of the previous bar in % and many more
4. historical trend and consolidation analysis
If you use this breakout condition, the breakout is determined by the next signal (reversal, continuation, breakout) or trend change of the TRN bars after one of the harmonic patterns has been completed. These Breakout conditions give you the accurate trend recognition of the TRN Bars to find the perfect entry.
TRN Bars Signal
If a harmonic pattern gets completed and you use this breakout condition, the breakout will be determined by the next confirmed signal (reversal, continuation, breakout) of the TRN Bars. These Breakout Condition delivers signals with reenforced reliability, but they occur not as often as other breakout conditions.
RSI Crossing
With this breakout condition, a breakout for a long position gets determined, when the RSI line crosses above the RSI moving average (MA) after one of the harmonic patterns has been completed. A bearish breakout after a completed harmonic pattern gets determined, when the RSI line crosses below the RSI MA.
You can choose your preferred RSI and MA length in the indicator settings under the “Trade Management” section.
MACD Crossing
If a harmonic pattern gets completed and you use this breakout condition, the breakout gets determined, when the MACD line crosses above the signal line (bullish MACD crossover) for a bullish breakout. Conversely, when the MACD line crosses below the signal line (bearish MACD crossover), a bearish breakout gets determined after a harmonic pattern was completed.
You can choose your preferred MACD length in the indicator settings under the “Trade Management” section.
Swing Flip
Use this breakout condition, if you want a breakout to get determined when the next swing after point D gets detected by the build in swing detection algorithm of TRN Harmonics.
Close Below/Above Last 2 Lows/Highs
With this breakout condition, a breakout for a short position gets determined, if a close below the lows of the last 2 bars gets detected. For a long position, the breakout gets determined if a close above the highs of the last 2 bars gets detected.
Close Below/Above Last 3 Lows/Highs
In this scenario, a short position breakout is confirmed if the price closes below the lows of the previous 3 bars. Conversely, a long position breakout is confirmed if the price closes above the highs of the last 3 bars.
How To Setup Breakout Conditions
Go to indicator settings and choose one of our built-in breakout conditions under the section "Trade Management" of the menu item "Inputs", like for example TRN Bars Signal + Trend. A selection of 7 distinct breakout conditions is at your disposal.
If you use the default settings of the Harmonic Patterns Suite, TRN Bars Signal + Trend will be the breakout condition for the detected harmonic patterns.
Computation Details
The real-time detection of the harmonic patterns utilizes a unique swing-based pattern recognition. The difference to other swing-based computations is that the pivot points are identified without a look-ahead value. The result is a faster and better real-time detection. Furthermore, the detection of the ratios between the single swings is based on a dynamic volatility measurement similar to the ATR. The tolerance level unites several internal parameters into one and results in a user-friendly setting.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
Consolidation and Range PatternHello Traders!
The TRN Consolidation and Range Pattern indicator utilizes a unique swing-based pattern recognition to pinpoint consolidation zones in real-time with unparalleled precision. The rectangle pattern, also known as a trading range or a consolidation pattern, is characterized by horizontal lines that act as support and resistance levels, creating a rectangular shape.
The value of this indicator is to support traders to easily identify consolidations and ranges. The special swing-based pattern recognition and the numerous built-in premium features make this indicator unique. Below, you'll find a list of these features.
Feature List
Real-time consolidation/range detection
Visualization of entry, stop-loss and take-profit levels
Pattern performance statistics
Calculation of risk rewards ratio
Risk Management
Breakout alerts
Customizable pattern size and accuracy
Customizable look and feel
The trader saves a lot of time scanning the markets for consolidation patterns, since everything is done automatically for the trader: Finding the consolidation, looking and alerting for a breakout, computing the entry, stop loss and take profit levels as well as handling the risk management and computing the optimal order quantity. Now, we describe how a combination of these features enhances the trading performance of confirmed consolidation patterns.
How to Trade with the TRN Consolidation and Range Pattern
Identify the Pattern
Add the TRN Consolidation and Range Pattern to your chart and look for the pattern on the asset and timeframe of your choice. The pattern is detected in real-time. If the pattern develops further in the next bars, then the indicator updates the consolidation zone until a breakout is confirmed.
You can also use the built-in alerts to easily get notified when a pattern occurs. In the indicator settings in the "Alerts" section you can choose whether you want to get notified when a pattern is in the making (Pattern active), confirms a breakout to the upside (B/O Up Confirmed) or confirms a breakout to the downside (B/O Down Confirmed). By selecting the "Unconfirmed" option, you will receive notifications when a pattern breakout occurs, even if it is not yet confirmed. This allows you to stay informed about potential breakout opportunities that are still awaiting confirmation.
Check Pattern Statistics
The pattern statistics make it easy for you to see how successful a pattern is on the asset and timeframe you are watching. You should always check them out before entering a trade. The chart displays the statistics in the upper right corner. These statistics are categorized into two sections: "long" for patterns with an upward breakout and "short" for patterns with a downward breakout.
In the initial columns, labeled as "short" and "long", the identified breakouts are further divided based on whether the risk-reward ratio (R) is below a specified value (< x) or equal to/greater than the specified value (>= x). The following columns represent the count of the events:
1. Occ. (Occurrence) categorized according to the values of R from the first column
2. TP1, TP2, TP3 (Take Profit) - targets 1, 2 and 3
3. SL (Stop Loss)
4. T/O (Time Out) - neither stop loss or targets where hit in a certain amount of time
Breakout – Entry, Stop Loss and Targets
The indicator automatically displays the entry price line (EP) in grey et the point where the price breaks through the resistance or support levels, indicating that the consolidation period is over. Once a breakout has been confirmed, place a buy order near the EP level for a long position, or a sell order for a short position. Set your stop-loss at the price level of the red stop-loss line (SL) and set your take-profits at the price level of the green take-profit-lines (TP1, TP2, TP3). Note that your risk-reward ratio (R) was calculated based on TP1.
Risk Management
The TRN Consolidation and Range Pattern comes with a built-in risk management feature. Just go to the settings and scroll down to the section "Risk Management".
Here you can enter your Account Size and the percentage you want to Risk when you enter a position after a pattern breakout.
In the "Trade Management" section, you have the option to define the minimum accepted risk-reward ratio for confirmed rectangles. This means that breakouts of patterns failing to meet the minimum risk-reward ratio will not be considered as confirmed signals.
If a breakout gets confirmed, the indicator automatically calculates the position size (Quantity). You can read the quantity from the gray entry point line (EP), which is located to the right of the risk-reward ratio (R).
Customization and Settings
The indicator can scan for smaller and larger patterns at the same time. Adjust the consolidation sizes in the indicator settings to align them with your preferences. A larger size results in larger consolidations. Depending on the asset class, the market or the market phase, different sizes can be used for the consolidation detection.
To detect more patterns, increase the tolerance level, even though it may result in lower accuracy. However, be mindful that a higher tolerance level may result in more patterns hitting their stop-loss. Look for a tolerance level that leads to favorable statistics and focus on trading patterns with a proven performance history.
Finally, you have the flexibility to customize various visual elements, such as the color of the pattern and whether to display values like price, target, or risk-reward ratio on your chart. You can also choose where these values appear.
Computation Details
The real-time detection of the consolidations and ranges utilizes a unique swing-based pattern recognition. The difference to other swing-based computations is that the pivot points are identified without a look-ahead value. The result is a faster and better real-time detection. Furthermore, the detection of equal lows or highs which form a support or resistance level is based on a dynamic volatility measurement similar to the ATR. The tolerance level unites several internal parameters into one and results in a user-friendly setting.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
TRN BarsThe innovative TRN Bars are designed to help traders to analyze markets in an intuitive way. It combines three core concepts:
TRN Bars to see the current trend and reversals (replaces the default chart bars)
Bar Ranges to highlight consolidations
Dynamic Trend to see the overall trend.
First, let's have a look at each of these concepts individually. Afterwards, we describe how a combination of all three gives you a crystal-clear picture of the market.
TRN Bars
They show bullish and bearish trends and reversals based on color coding the bars and give high probability trade opportunities with special colors. The trend analysis is based on a new algorithm that includes several different inputs:
classical and advanced bar patterns and their statistical frequency
probability distributions of price expansions after certain bar patterns
bar information such as wick length in %, overlapping of the previous bar in % and many more
historical trend and consolidation analysis
The algorithm weighs these concepts and outputs a color scheme for the chart bars or candlesticks.
Bar Types
Trend bars in green and red
Reversal Bars in blue and fuchsia
Continuation Bars in turquoise and orange
Breakout Bars in dark green and pink
Green Bars signify a sustained uptrend, indicating bullish market sentiment. On the other hand, Red Bars indicate a persistent downtrend, representing bearish market sentiment. The transition from red to green denotes a bullish trend reversal, suggesting a shift from bearish to bullish sentiment. Conversely, the shift from green to red signals a bearish trend reversal, indicating a transition from bullish to bearish sentiment. By monitoring these color changes, traders can identify potential trend reversals and make informed trading decisions.
The presence of gray and black bars indicates a neutral market state, often observed before an impending color change from red to green or green to red. These neutral bars serve as a transition phase between the previous trend and the potential reversal.
The TRN Bars incorporate Signal Bars, distinguished by their distinct colors, to offer potential buy and sell signals and deeper insights into market dynamics.
Reversal Bars
The presence of blue Reversal Bars indicates a trend reversal to the upside, while pink Reversal Bars indicate a reversal to the downside. These bars not only serve as signals for potential trend shifts but also present favorable opportunities to enter the market or increase one's position size.
Continuation Bars
In addition to the reversal bars, TRN Bars also include bullish continuation bars (colored turquoise) and bearish continuation bars (colored orange). These bars act as signals for the continuation of an existing trend. Like the reversal bars, they can be utilized as entry points or opportunities to augment one's position size.
Breakout Bars
The dark green breakout bars within TRN Bars show a powerful breakout from a price range detected by our integrated bar range feature. They signify the continuation or potential change in a trend following a consolidation phase. As such, these bars hold dual functionality, serving as reversal signals and validating the persistence of an ongoing trend.
Bar Ranges
The bar range feature automatically finds consolidations where the price range of several consecutives bars is rather small. The detection of the bar ranges includes among other things the overlapping percentage of these bars.
How to Use Price Ranges
Here are a few ways you can use the bar ranges in your trading:
Identify Support and Resistance Levels
The price ranges can help you identify key support and resistance levels on a chart. By observing price ranges and identifying these levels, you can make more informed decisions about entering or exiting trades.
Breakout Trading
Price ranges can also provide insights into potential breakout opportunities. Breakouts occur when the price breaks out of a defined range, signaling a potential shift in market sentiment and the start of a new trend. The Color highlighted Breakout Bars from the TRN Bars are signaling a powerful breakout of a price range. Traders can enter positions in the direction of the breakout and set appropriate stop-loss orders to manage risk. Note that not every price range is left by a powerful breakout.
Dynamic Trend
The Dynamic Trend combines elements from standard trend strength indicators (e.g. DI-, DI+, Parabolic SAR) and volatility indicators (e.g. ATR, Standard Deviation). It produces a moving average line that adapts to changing market volatility. It is inspired by the ideas of the programmer and trader Fat Tails. The adaptive behavior provides more relevant information for traders when compared to traditional moving averages which do not consider volatility and trend strength together. This makes the Dynamic Trend completely unique, and no other moving average indicator can give you this precision.
How to use Dynamic Trend
Generally, a rising Dynamic Trend line, displayed in green, indicates that an uptrend is strong, while a falling Dynamic Trend, displayed in red, suggests that the downtrend is sharp. The Dynamic Trend turns gray when there is insufficient clarity to establish a distinct trend and especially when there is not volatility in the market.
Identify potential trade entries and exits: When used in conjunction with price action, the Dynamic Trend can provide potential trade signals. For example, if the price crosses above the Dynamic Trend, it may be a bullish sign, suggesting a potential buy entry. Conversely, if the price crosses below the Dynamic Trend, it may indicate bearish conditions and a potential sell signal.
Trend Identification and Pullback trading
Observe the Dynamic Trend's color. When it's on the rise and appears green, it indicates a bullish trend. Conversely, if it's in decline and displayed in red, it signals a bearish trend.
If Dynamic Trend is green and price pulls from above back to the Dynamic Trend, then this can be considered as a bullish signal.
If Dynamic Trend is red and price pulls from below back to the Dynamic Trend, then this can be considered as a bearish signal.
In the event of a bearish signal, such as a bearish TRN Signal Bar, and the Dynamic Trend is red, it provides additional confirmation to the bearish signal. Likewise, bullish signals gain added conviction when the Dynamic Trend is green.
Crossovers
As with other moving averages, crossovers between the Dynamic Trend and the price can be significant.
If price is crossing above the Dynamic Trend, then this can be considered as a bullish signal.
If price is crossing below the Dynamic Trend, then this can be considered as a bearish signal.
If you currently hold a position, both bullish and bearish crossovers can serve as potential exit signals. For instance, in the case of a long position, a bearish crossover can indicate a potential shift in sentiment, signaling a bearish reversal and a potential opportunity to close your long position.
Filtering Noise
Due to its adaptive nature, the Dynamic Trend can be a useful tool to filter out market noise. When the market is choppy or consolidating, the Dynamic Trend tends to remain flat and colored gray, signaling traders to potentially stay out of the market.
Stop Losses
The Dynamic Trend can also be used as a dynamic stop loss. For instance, in a long trade, traders can use the Dynamic Trend as a trailing stop, selling their position if the price crosses below the Dynamic Trend.
Combining TRN Bars, Bar Ranges and Dynamic Trend together
Combining all three concepts gives you a crystal-clear picture of the market. The Dynamic Trend shows you the overall trend. If price pulls back to the dynamic trend line and then price picks up the trend direction again, then the TRN Bars immediately switch the color to the trend direction. Therefore, you can easily identify high probability entry signals based on the bar color.
As a simple trading model, you can set the stop loss below the last swing or below a TRN signal bar (vice versa for short entries) and use 2.5 R or 3 R as target.
You can increase the success rate of the high probability TRN signal bars entries even more if they are in line with the Dynamic Trend line.
On the other hand, the TRN Bar Ranges help you to stay out of the market in case the price does not really change. As a confluence signal to stay flat in this period the dynamic trend line tends to be grey as well. If the price breaks out of the range, then the TRN Bars print a breakout bar which serves as a high probability entry signal.
Although it is possible to switch off any of these concepts, it is highly recommended to use all three in combination to get a crystal-clear picture of the market.
Alerts
Experience the power of our TRN Bars Alerts, delivering real-time notifications for trend changes, price range breakouts, and signal bar formations or confirmations. Stay on top of the market with these versatile alerts, customizable to your preferred assets and timeframes.
Conclusion
While signals from TRN Bars can be informative, it is important to recognize that their reliability may vary. Various external factors can impact market prices, and it is essential to consider your risk tolerance and investment goals when executing trades.
[Wiseplat Sideways] v.04The Sideway indicator for TradingView is a powerful tool designed to identify periods of sideways or ranging price action in the market. With its intuitive interface and customizable parameters, traders can easily spot when an asset is consolidating, providing valuable insights for both trend-following and range-bound strategies.
This indicator utilizes really simple algorithm to analyze price movement and volatility, effectively filtering out noise and false signals. By plotting clear visual cues on the chart.
Traders can adjust the sensitivity parameters to tailor the indicator to their specific trading style and preferences. Whether used in isolation or in conjunction with other technical analysis tools, the Sideway indicator empowers traders to make informed decisions in dynamic market conditions.
Its user-friendly design and simple settings of parameters makes it accessible to traders of all levels, from beginners seeking clarity in choppy markets to seasoned professionals looking for confirmation of their analysis. With the Sideway indicator, traders can confidently navigate sideways price action and stay ahead of the curve in their trading endeavors.
Developer: Oleg Shpagin
Trend Regression Kernel [IkkeOmar]Kernel by @jdehorty huge shoutout to him! This is only an idea for how I use it when trading
All credit for the kernel goes to him, I did not make the kernel! I don't know how to make it more clear.
I use this to assist with top-down analysis.
timeframe I want to trade : timeframe to analyse with white noise and kernel:
1m : 1H
5m : 2H
15m : 4H
1H : 1D
In the chart you see that I have the 1H open, I use the white noise at a "lower setting length" (55 in this case), I change the source of to be the kernel on the higher timeframe. When a new trend is detected by the White noise I wait for price to retest the kernel before building a position. Another case described below:
Here i use the adaptive MCVF (I have made this free for everyone on TradingView) to buy when price is below the kernel while the trend for the white noise is bullish .
Notice that the Kernel is set on the 4H timeframe! The source of the white noise is the kernel!
Here is an example in a bearish trend:
Notice, I am on the 5m chart, kernel uses the 2H chart and the source of the white noise is the kernel.
I use the adaptive MCVF to help me get entries AFTER the first touch of the kernel.
Mandatory code explanation, with respect to the house rules:
Input settings:
Input Settings:
The script provides various input parameters to customize the indicator:
src: The source of price data, defaulted to closing prices.
h, r, x_0: Parameters for Kernel 1.
h2, r2, x_2: Parameters for Kernel 2.
Kernel Regression Functions:
Two functions kernel_regression1 and kernel_regression2 are defined to perform kernel regression calculations.
These functions estimate the trend using the Nadaraya-Watson kernel non-parametric regression method.
They take the source data (_src), the size of the data series (_size), and the lookback window (_h) as inputs.
They iterate over the data series and calculate the weighted sum of the values based on the specified kernel parameters.
The result is divided by the cumulative weight to obtain the estimated value.
Estimations:
The kernel_regression1 and kernel_regression2 functions are called with the respective parameters to estimate trends (yhat1 and yhat2).
Buy and Sell Signals:
Buy and sell signals are generated based on crossover and crossunder conditions between the two trend estimates (yhat1 and yhat2).
buySignal is true when yhat1 crosses above yhat2.
SellSignal is true when yhat1 crosses below yhat2.
Plotting:
The average of the two trend estimates (yhat1 and yhat2) is calculated and plotted.
The color of the plot is determined based on whether yhat1 is greater than yhat2, less than yhat2, or equal to yhat2.
Buy and sell signals are plotted using triangle shapes below and above bars, respectively.
Alerts:
Alert conditions are set based on buy and sell signals. Alerts are triggered when a crossover (long signal) or crossunder (short signal) occurs.
The alerts include information about the signal type, symbol, and price.
It's important to mention that the buy and sell signals from the indicator is very discretionary, I rarely use them, and if I do it's if they are in confluence with a correction i am biased towards or if it has confluence with some of my other systems.
The adaptive MCVF and White noise is free for everyone on TradingView, linked below:)
Huge shoutout to @jdehorty, original kernel below:
[AlbaTherium] MTF Internal Ranges Analysis - IRA-Phoenix for SMCIntroduction:
The MTF Internal Ranges Analysis - IRA - Phoenix acts as an extension to the original main SMC Indicator by AlbaTherium . This add-on provides insights into multi-timeframe internal structure points, swing structure points, POIs (Points of Interest), and order blocks (OB). By integrating this enhancement, your multi-timeframe analyses become more streamlined, expediting the process and minimizing chart workload .
This tool represents an advanced smart money technical analysis aimed at enhancing your trading experience. It introduces four pivotal concepts:
Main Features:
Multiple Timeframes and Confluences,
SCOB Internal Order Block.
Demand to Supply (D2S) or Supply to Demand (S2D) across Multiple timeframes
SCOB on LTF and SCM on HTF across same Candle
By combining these concepts all in one, traders can find confluences zones across multiple timeframes and gain a comprehensive understanding of market dynamics, theses confluences zones empower order block skills and potentiality, showcasing them as essential, crucial, powerful, strategic, and pivotal, one of the pillars in smart money concepts trading strategy to make more informed decisions.
Settings Overview:
Select timeframe {Select or current chart}
Inside bar ranges
Internal structure as Internal zigzag {turn on/ off / unconfirmed(live) zigzag}
Single Candle Mitigation Pattern {turn on/ off / confirmed / unconfirmed}
Single Candle Order Block Pattern {turn on/ off / confirmed / unconfirmed}
Demands and Supplies (D&S) {turn on/ off / confirmed / unconfirmed}
OB Mitigation {touch/ extended}
Understanding the Features:
Chapter 1: Multiple Timeframes and Confluences
Our Multi-timeframe analysis approach enables traders to analyze market trends and volatility across different timeframes. Confluences, where signals align across multiple timeframes, provide strong indications for trading opportunities.
Practical Example:
- With MTF IRA - Phoenix , traders can seamlessly transition between different timeframes while maintaining a cohesive analysis. For instance, traders can monitor the M15, H1, or M5 charts while focusing on entry on the M1 timeframe, enabling a holistic view of market trends and opportunities .
Chapter 2: SCOB Internal Order Block across Multiple Timeframe
SCOB Internal Order Block (SCOB IOB) highlights critical zones in price action, showcasing the dominance of aggressive buyers or sellers on orders blocks. As confluences accumulate across multiple timeframes, the strength of the order block intensifies, presenting entry opportunities.
Practical Example:
You have the ability to detect zones where price ranges have formed; these areas are highly sought after for taking buying as well as selling positions, especially when these areas are reflected across 1 or 3 timeframes.
The only practical way to see theses confluences is to use this Indicator, see the example below
Chapter 03: Demand to Supply (D2S) or Supply to Demand (S2D) across Multiple timeframes
The Demand to Supply or Supply to Demand feature within MTF Internal Ranges Analysis - IRA - Phoenix offers a nuanced analysis of price action dynamics across various timeframes. By identifying shifts in supply and demand zones, traders gain valuable insights into market sentiment and potential price reversals.
This feature enables traders to anticipate changes in market direction by recognizing the interplay between demand and supply across different timeframes. By understanding how price reacts at key support and resistance levels, traders can make informed decisions and capitalize on emerging trends.
The Demand to Supply or Supply to Demand feature enhances the indicator's usefulness by providing traders with actionable information to navigate complex market conditions effectively. With this comprehensive analysis, traders can better manage risk and optimize trading strategies across multiple timeframes.
Real-world Example:
Chapter 04: SCOB on LTF and SCM on HTF across same Candle
with MTF Internal Ranges Analysis - IRA - Phoenix , explores the concepts of SCOB (Single Candle Order Block) on Lower Timeframes (LTF) and SCM (Single Candle Mitigation) on Higher Timeframes (HTF).
SCOB on LTF refers to the identification and analysis of single candle order blocks within shorter timeframes. These blocks represent critical price levels where significant buying or selling activity occurred within a single candlestick. By recognizing SCOB patterns, traders can pinpoint key areas of market interest and anticipate potential price movements.
On the other hand, SCM on HTF involves analyzing single candle mitigation entries within longer timeframes. This technique aims to capitalize on price reversals or shifts in market sentiment indicated by single candlestick patterns. By incorporating SCM analysis, traders can gain insights into broader market trends and make strategic trading decisions accordingly.
the intricacies of SCOB on LTF and SCM on HTF, offering traders valuable tools to enhance their analysis and decision-making processes across different timeframes. Through a comprehensive understanding of these concepts, traders can identify high-probability trading opportunities and navigate the markets with confidence.
Real-world Example:
SCOB on M5 and SCM on M15 generate a powerful order block.
Conclusion:
MTF Internal Ranges Analysis - IRA - Phoenix for Smart Money Concepts is a valuable asset for traders seeking to add more insights in today's dynamic markets especially for Intraday Traders. By focusing on concepts like "Multiple timeframes and Confluences, with one single timeframe u can analyze all timeframes", "SCOB Internal Order Block. With its innovative features and user-friendly interface, whether you're a seasoned trader or just starting your journey, MTF IRA - Phoenix can help you navigate through the complexities of price action and make more informed trading choices.
This document provides an extensive overview of MTF Internal Ranges Analysis - IRA - Phoenix, emphasizing its importance in comprehending market dynamics and utilizing essential smart money concepts trading principles.
Trading TP SL Risk Commission Calculator🎉 Introducing Your Trading TP SL Risk Commission Calculator! 🎉
Hey there, savvy trader! 🚀 Are you looking to enhance your trading game? Meet the Trading TP SL Risk Commission Calculator! This handy tool is here to guide you through the complexities of trading, providing insights into your potential risks and rewards. Let's walk through how you can leverage it for smarter trading decisions!
Setting Up 🛠
Let's get your calculator ready for action:
Lines and Labels Visibility: Flip this switch on to see your Entry, Take Profit (TP), Stop Loss (SL), and Liquidation points displayed on your chart. It's a great way to get a visual summary of your strategy.
Input Your Trade Details: Enter your Entry Price, Take Profit Price, and Stop Loss Price. These figures are crucial for mapping out your trade.
Order Info: Specify your Order Size in USD, the amount of Leverage you're using, and your platform's Commission Rate. This customizes the calculator to fit your unique trading setup.
Customizing Your View 🎨
Table Placement & Size: Pick the location and size for your results table to appear on your screen. Tailor it to your liking, whether you prefer it out of the way or front and center.
Deciphering Your Results 📊
With your inputs in place, the calculator springs into action. Here's what you'll find:
Risk Assessment (with Emojis!): Quickly gauge your risk level with our intuitive emoji system, ranging from "⛔️⛔️⛔️" (very high risk) to "✅✅✅" (very low risk).
Profit and Loss Insights: Understand your potential take-profit gains and stop-loss implications, both as percentages and in USD. We also factor in fees to give you a clear picture.
Liquidation Alert: For those using leverage, the liquidation price calculation is crucial to avoid unpleasant surprises.
Expert Tips 💡
Stay Flexible: Market conditions evolve, so should your strategy. Revisit and adjust your inputs regularly to stay aligned with your trading goals.
Risk Emoji Check: Keep an eye on your risk level emojis. A sea of "⛔️" might signal it's time to reassess your approach.
Use Visual Guides: The on-chart lines and labels offer a quick visual reference to how your current trade measures up against your TP, SL, and liquidation thresholds.
Dive In and Trade Smart! 🚦
This calculator isn't just about making calculations; it's about empowering you to make informed trading decisions. With this tool in your arsenal, you're equipped to navigate the trading waters with confidence and clarity.
Neural Network Synthesis: Trend and Valuation [QuantraSystems]Neural Network Synthesis - Trend and Valuation
Introduction
The Neural Network Synthesis (𝓝𝓝𝒮𝔂𝓷𝓽𝓱) indicator is an innovative technical analysis tool which leverages neural network concepts to synthesize market trend and valuation insights.
This indicator uses a bespoke neural network model to process various technical indicator inputs, providing an improved view of market momentum and perceived value.
Legend
The main visual component of the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator is the Neural Synthesis Line , which dynamically oscillates within the valuation chart, categorizing market conditions as both under or overvalued and trending up or down.
The synthesis line coloring can be set to trend analysis or valuation modes , which can be reflected in the bar coloring.
The sine wave valuation chart oscillates around a central, volatility normalized ‘fair value’ line, visually conveying the natural rhythm and cyclical nature of asset markets.
The positioning of the sine wave in relation to the central line can help traders to visualize transitions from one market phase to another - such as from an undervalued phase to fair value or an overvalued phase.
Case Study 1
The asset in question experiences a sharp, inefficient move upwards. Such movements suggest an overextension of price, and mean reversion is typically expected.
Here, a short position was initiated, but only after the Neural Synthesis line confirmed a negative trend - to mitigate the risk of shorting into a continuing uptrend.
Two take-profit levels were set:
The midline or ‘fair value’ line.
The lower boundary of the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicators valuation chart.
Although mean-reversion trades are typically closed when price returns to the mean, under circumstances of extreme overextension price often overcorrects from an overbought condition to an oversold condition.
Case Study 2
In the above study, the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator is applied to the 1 Week Bitcoin chart in order to inform long term investment decisions.
Accumulation Zones - Investors can choose to dollar cost average (DCA) into long term positions when the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicates undervaluation
Distribution Zones - Conversely, when overvalued conditions are indicated, investors are able to incrementally sell holdings expecting the market peak to form around the distribution phase.
Note - It is prudent to pay close attention to any change in trend conditions when the market is in an accumulation/distribution phase, as this can increase the likelihood of a full-cycle market peak forming.
In summary, the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator is also an effective tool for long term investing, especially for assets like Bitcoin which exhibit prolonged bull and bear cycles.
Special Note
It is prudent to note that because markets often undergo phases of extreme speculation, an asset's price can remain over or undervalued for long periods of time, defying mean-reversion expectations. In these scenarios it is important to use other forms of analysis in confluence, such as the trending component of the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator to help inform trading decisions.
A special feature of Quantra’s indicators is that they are probabilistically built - therefore they work well as confluence and can easily be stacked to increase signal accuracy.
Example Settings
As used above.
Swing Trading
Smooth Length = 150
Timeframe = 12h
Long Term Investing
Smooth Length = 30
Timeframe = 1W
Methodology
The 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator draws upon the foundational principles of Neural Networks, particularly the concept of using a network of ‘neurons’ (in this case, various technical indicators). It uses their outputs as features, preprocesses this input data, runs an activation function and in the following creates a dynamic output.
The following features/inputs are used as ‘neurons’:
Relative Strength Index (RSI)
Moving Average Convergence-Divergence (MACD)
Bollinger Bands
Stochastic Momentum
Average True Range (ATR)
These base indicators were chosen for their diverse methodologies for capturing market momentum, volatility and trend strength - mirroring how neurons in a Neural Network capture and process varied aspects of the input data.
Preprocessing:
Each technical indicator’s output is normalized to remove bias. Normalization is a standard practice to preprocess data for Neural Networks, to scale input data and allow the model to train more effectively.
Activation Function:
The hyperbolic tangent function serves as the activation function for the neurons. In general, for complete neural networks, activation functions introduce non-linear properties to the models and enable them to learn complex patterns. The tanh() function specifically maps the inputs to a range between -1 and 1.
Dynamic Smoothing:
The composite signal is dynamically smoothed using the Arnaud Legoux Moving Average, which adjusts faster to recent price changes - enhancing the indicator's responsiveness. It mimics the learning rate in neural networks - in this case for the output in a single layer approach - which controls how much new information influences the model, or in this case, our output.
Signal Processing:
The signal line also undergoes processing to adapt to the selected assets volatility. This step ensures the indicator’s flexibility across assets which exhibit different behaviors - similar to how a Neural Network adjusts to various data distributions.
Notes:
While the indicator synthesizes complex market information using methods inspired by neural networks, it is important to note that it does not engage in predictive modeling through the use of backpropagation. Instead, it applies methodologies of neural networks for real-time market analysis that is both dynamic and adaptable to changing market conditions.
Weighted Average Volume Depth [QuantraSystems]Weighted Average Volume Depth
Introduction
The Weighted Average Volume Depth (𝓦𝓐𝓥𝓓) indicator is calibrated to provide extensive insights, calculated using volumetric price action and volume depth, and provides dynamic adjustments based upon historical volatility.
This indicator is a valuable asset for traders and investors, aiming to capture trends, measure dynamic volatility, and provide market reversion analysis in a systematic way.
Legend
Volumetric Top Cap: Plotted at y = 0, this line represents the probabilistic maximum value, or ‘cap’ for the signal line. It is colored using a binary color scheme, and indicates the dominant trend direction - green for an uptrend and purple for a downtrend.
Base Line: Calculated using a volume-weighted volatility measurement, this line is used as the benchmark to calculate momentum in the 𝓦𝓐𝓥𝓓 indicator.
Signal Line: The signal line represents the volume and volatility weighted measurements, and oscillates between the Base Line and Top Cap. Its position between these levels provides the depth of insights available in this script.
When the signal line is remaining in close proximity to the base line, this is indicative of a low volatility market environment. These periods are also reflected as muted bar coloring when the ‘Trend Intensity’ setting is enabled.
Conversely, when the signal line approaches, or even breaks above the Top Cap, this is characteristic of an unsustainable trending action - and probabilistically speaking, a reversion or consolation is likely to occur at these levels.
Highlighting: When this setting is enabled, background coloring is applied when the Signal Line breaks above the Top Cap. This highlights green as an oversold zone, and purple as an overbought zone.
Reversal Signals: When price begins to reverse from a zone of overextension, a signal is plotted when this reversion occurs from a high probability zone.
Circle - Shows a possible bullish reversal.
Cross - Shows a possible bearish reversal.
Case Study
In the above image, we showcase three distinct trades in short succession, showcasing the 𝓦𝓐𝓥𝓓’s speed and accuracy under the right conditions.
The first long trade was initiated upon receiving a bullish reversal signal. The trade was then closed after the price experienced a sharp upwards movement - and an overbought signal was indicated by the purple shading.
The second, short trade was entered on the next bar, after a bearish reversal signal was printed by the indicator (a white cross). Similarly, this trade was closed upon the oversold signal.
Once again, a reversal signal was indicated by the 𝓦𝓐𝓥𝓓 indicator. This time a bullish signal (a white circle), and hence a long position was opened. However, this trade was held until a negative trend confirmation (signaled by the Top Cap’s shift in color). This makes apparent the indicator’s flexible nature, and showcases the multiple signaling types available for traders to use.
Recommended Settings
The optimal settings for the 𝓦𝓐𝓥𝓓 indicator will vary upon the chosen asset’s average level volatility, as well as the timeframe it is applied to.
Due to increased volatility levels on lower timeframes, it is recommended to increase the 'Top Cap Multiplier' to take into account the increased frequency of false signals found in these trading environments. The same can be said when used on highly volatile assets - a trader will likely benefit from using a higher 'Top Cap Multiplier.'
On more price-stable assets, as well as any asset on higher timeframes, there is merit to tightening the length of the 'Top Cap Multiplier,' due to the slower nature of price action.
Methodology
The 𝓦𝓐𝓥𝓓 starts with calculating the volume weighted average price and the volume weighted variance - which is the expectation of the squared deviation of a variable from its mean, giving insights into the distribution of trading volume.
Using the volume weighted variance, a standard deviation value is calculated based on user input. This value acts as the ‘Volumetric Top Cap’ - seen in the 𝓦𝓐𝓥𝓓 indicator window as the zero line.
The signal line is calculated as the difference between the current price and the theoretical upper or lower VWAP deviation bands. This line acts as the trigger for identifying prevailing trends and high probability reversal points.
The base line serves as a reference point for historical momentum. It is calculated using an exponential moving average of the lowest signal line values over a defined lookback period. This baseline helps in assessing whether the current momentum is high or low relative to historical norms.
Notes
Bar coloring can be turned off - especially useful when stacking multiple indicators as recommended, or set to 'Trend Intensity,' or 'Binary Trend' (which reflects the top cap coloring).
It is always recommended to never rely on a single indicator - and instead build and test multiple strategies utilizing more than one indicator as confirmation.
Pulse Profiler [QuantraSystems]Pulse Profiler
Introduction
The Pulse Profiler ( ℙℙ ) is specifically designed to unambiguously indicate weakening momentum after a strong impulse. The upper and lower standard deviation bands also allow the user to assess the strength of an impulse and differentiate it from general noise.
Due to the ℙℙ ’s rapid responsiveness to exhaustion in price movement it is ideally used for the trader to recognize when to start taking profit when combined with other indicators.
The novum is that by dynamically balancing its sensitivity to recent movements the ℙℙ considers the asset’s inherent volatility. By reducing noise without sacrificing signal, and by visualizing it in our typical modern QuantraAI style, the ℙℙ enhances the traders’ ability to distinguish impulses with weakening momentum from strong trending movements.
Legend
Impulse: The ℙℙ showing strength based on momentum and volume.
Dynamic standard deviation bands: Rolling probability based bands based on a rolling normal distribution. Adjustable, recommended are σ = 1.5 to σ = 2.5.
Neutral lines: Dynamic thresholds which get often respected as support or resistance.
Case Study
To properly employ the ℙℙ , the trader should use it to identify out-of-the-ordinary 𝓲𝓶𝓹𝓾𝓵𝓼𝓮𝓼 which cause a following exhaustion.
The rolling standard deviation bands incorporate the asset’s historical behavior in regards to its inherent volatility on a rolling basis. If the asset shows strong 𝓲𝓶𝓹𝓾𝓵𝓼𝓮𝓼 that go beyond the rolling standard deviation, the event has been highly improbable. The trader then needs to determine if the price change was caused by critical external factors. If not, it is highly probable that the momentum exhausts and that price movement plateaus to enter a range.
These signals indicate that it is highly probable that closing a position upon these conditions is the correct choice.
If the 𝓲𝓶𝓹𝓾𝓵𝓼𝓮 reverses and retraces into the opposite direction, while moving more than 1.5σ across just 3 bars on the 4H chart, the signal indicates that a reversal is pushing the price down – in both momentum and volume.
A sharp reversal thus becomes more probable than not.
The ℙℙ can also be calibrated to find possible trend exhaustions on a longer timeframe (1D).
Please always use multiple Quantra indicators to add confirmations to your signals.
Recommended Settings
Swing Trading (4H chart)
Standard Deviation Lookback: 150
Standard Deviation Multiplier (σ): 2.5
Display Variant: Classic
Choose Mode for Bar Coloring: Signal
Trend exhaustion (1D chart)
Standard Deviation Lookback: 200
Standard Deviation Multiplier (σ): 2.0
Display Variant: Classic
Choose Mode for Bar Coloring: Extremes
Notes
Quantra Standard Value Contents:
The Heikin-Ashi (HA) candle visualization smoothes out the signal line to provide more informative insights into momentum and trends. This allows earlier entries and exits by observing the indicator values transformed by the HA.
Various visualization options are available to adjust the indicator to the user’s preference: Aside from HA, a classic line, or a hybrid of both.
A special feature of Quantra’s indicators is that they are probabilistically built - therefore they work well as confluence and can easily be stacked to increase signal accuracy.
To add to Quantra's indicators’ utility we have added the option to change the price bars colors based on different signals:
Choose Mode for Coloring
Trend Following (Indicator above mid line counts as uptrend, below is downtrend)
Extremes (Everything beyond the SD bands is highlighted to signal mean reversion)
Candles (Color of HA candles as barcolor)
Reversions (Only for HA) (Reversion Signals via the triangles if HA candles change trend while beyond the SD bands, high probability entries/exits)
The ℙℙ is also sensitive to divergences for those interested in utilizing this feature.
Through a special combination of price, volume and momentum you get a holistic overview on the impulse strengths of movements.
The two neutral lines in the center act as dynamic, volume and volatility adjusted thresholds. Often the signal line respects them as support and resistance.
The upper and lower standard deviation lines express the rarity of an impulse based on the asset’s inherent volatility.
The indicator needs a long enough timespan to build up its probability estimation, therefore the asset needs sufficient price history.
The indicator requires thorough volume data. If the source of an asset pair does not forward it, try to find another source or exchange for the same pair.
Signal Mode on the 4H chart is a relevant part of this indicator when used in isolation and helps to analyze momentum adjusted by volatility.
Methodology
The ℙℙ combines the Arnaud Legoux Moving Average (ALMA) with a bespoke volume and momentum calculation, with a classical Exponential Moving Average (EMA) on price data.
The ℙℙ itself integrates ALMA for volume and momentum with an EMA calculation on price, creating a unique blend that expresses impulses using their three raw main components.
The indicator calculates dynamic standard deviation bands based on an adjustable lookback period and the adjustable sigma (σ), to signal when the impulse strength is just uncommon or even extraordinary when compared to the usual price movements:
σ = 1.5 the probability of similar impulse strength occuring is 13.37% / 2, hence ~ 6.69%
σ = 2.0 the probability of similar impulse strength occuring is ~ 2.28%
σ = 2.5 the probability of similar impulse strength occuring is ~ 0.62%
By detecting extremely improbable conditions the indicator can create an inversely highly probable signal to its user.
Neutral bands are calculated based on the ℙℙ alongside a rolling, dynamic multiplier. This effectively provides dynamic thresholds for approximating common volatility.
Heikin Ashi method: The indicator uses a custom function to calculate Heikin Ashi values, useful for smoothing impulse data and identifying trends.
Reversion Signals: Specifically for Heikin Ashi displays, we plot triangles as signals, useful to easily spot potential reversals.
The Signal Mode uses these different thresholds to highlight significant market moves.
Rate of Change Suite [QuantraSystems]Rate of Change Suite
Introduction
The "Rate of Change Suite" (𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮) refines traditional RoC concepts by incorporating additional elements that provide more nuanced views of market trends, potential reversions, and momentum shifts.
Its main benefits are that it allows traders to detect momentum changes and frontrun trend shifts.
The suite is designed to be highly adaptable, catering to various trading styles, timeframes and market conditions. It is comprised of 3 metrics:
The RoC base line plots the rate of change, the Signal Histogram to confirm trends, and the Signal Confirmation Oscillator to inform reversal probabilities. For the early detection of trend shifts, the 𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮 is a comprehensive tool for the toolkit of modern traders.
A core component of the 𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮 is the ability to apply its processing techniques to any other indicator found on TradingView - essentially leveraging the signal power of existing analysis methods. This is achieved by modifying the ‘Source’ input.
Legend
𝓡𝓸𝓒 base line: The primary component of the suite, the RoC Line, offers a direct view of market momentum. An upward trending RoC line informs the potential for a long position, while a downward trend might signal the opportunity for a short position. Both include a secondary confirmation by the color change of the line itself. The Heikin Ashi transformed version of the RoC line provides greater resistance to rapid movements, or outliers.
Signal Histogram: This feature works in tandem with the base RoC Line, providing an additional third confirmation of trends. A rising histogram supports the presence of an upward trend. Conversely, a declining histogram aligns with downward trends.
Signal Confirmation Oscillator: This dotted-line is crucial for detecting peaks or troughs in market momentum: These can precede reversals or shifts in the prevailing trend. Traders can use this signal to anticipate and prepare for potential changes quicker than others.
Case Study
Primarily a tool to follow trends, the 𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮 implies much more – you can trade with a confirmed trend signal entry and a mean reversion signal for the exit:
Here we see two practical cases of the 𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮 on the 1h BTC chart.
In the first scenario, the trader waits for three confirmations from the indicator.
The 𝓡𝓸𝓒 baseline to lead the run and looks for confirmation two and three:
𝓡𝓸𝓒 base line color shifts
and the Signal Histogram follows past the null midline.
The trader has adjusted their risk beforehand and enters the long position.
The 𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮 shows traders when to take profit:
The Signal Confirmation Oscillator (SCO, dotted line) moves beyond the 𝓡𝓸𝓒 baseline and the Signal Histogram. The trader can take 50% of the profit already.
The trader waits patiently, and if the SCO reverses, the rest of the position is closed.
The same works inversely for the second trade, which successfully frontran the decline shortly after.
Recommended Settings
Day Trading (1H chart)
Length: 30
Smooth Length: 10
Display Variant: Classic
Choose Mode: Trend Following
Investing – Follow Trend (1D chart)
Default settings
Notes
Quantra Standard Value Contents:
The Heikin-Ashi (HA) candle visualization smoothes out the signal line to provide more informative insights into momentum and trends. This allows earlier entries and exits by observing the indicator values transformed by the HA.
Various visualization options are available to adjust the indicator to the user’s preference: Aside from HA, a classic line, or a hybrid of both.
A special feature of Quantra’s indicators is that they are probabilistically built - therefore they work well as confluence and can easily be stacked to increase signal accuracy.
To add to Quantra's indicators’ utility we have added the option to change the price bars’ colors based on different signals:
Choose Mode for Coloring
Trend Following (Indicator above mid line counts as uptrend, below is downtrend)
Extremes (Everything beyond the SD bands is highlighted to signal mean reversion)
Candles (Color of HA candles as barcolor)
Reversions (Only for HA) (Reversion Signals via the triangles if HA candles change trend while beyond the SD bands, high probability entries/exits)
Divergence Sensitivity: Quantra’s 𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮 is finely tuned to detect divergences, a key feature for identifying possible trend reversals.
Trend Following and Reversions: Primarily a tool for trend following, the 𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮 is also adept at spotting potential reversions and slowdowns in momentum.
Range Trading Compatibility: In its Heikin Ashi Candles mode, the suite becomes particularly effective for range trading strategies.
High Customizability: Traders can customize the suite with various visualization options, including classic line representation, HA transformation, and bar coloring. These can be based on Heikin Ashi Candles or Trend Following approaches, providing flexibility to adapt to different trading scenarios.
Methodology
The 𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮 is built on a foundation of functions that define and calculate the Rate of Change. They employ a variety of moving average types (SMA, EMA, DEMA, TEMA, WMA, etc.) which can be selected to optimize the RoC line.
A bespoke function to calculate Heikin-Ashi values is engineered to offer a more consistent view of the trend.
The Signal Histogram is derived by mathematically processing the base RoC signal. The Signal Confirmation Oscillator is based on a modified formula, adjusted to align with the RoC dynamics.
With a range of customization options for its visual presentation, including color schemes and display styles, the 𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮 is designed to cater to both trend following indications as well as finding signals for mean reversion trades. This multifaceted approach enables the 𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮 to allow the trader to combine signals of both types to de-risk his positions.
Regression Sloped RSI [QuantraSystems]Regression Sloped RSI
Introduction
The Regression Sloped RSI (𝓡𝓢-𝓡𝓢𝓘) enhances the classical RSI by incorporating a form of linear regression analysis, which adjusts the traditional RSI in relation to the calculated slope over a specified lookback period.
Its innovative approach reduces the occurrence of false signals compared to the classical RSI. Furthermore, it is particularly effective in markets characterized by strong trends. This is because it responds faster while retaining a high level of whipsaw resistance. The Heikin-Ashi style processing is critical to this.
It also provides robust reversal signals from dynamic overbought and oversold zones to further enhance mean-reversion trading.
Legend
The coloring of the 𝓡𝓢-𝓡𝓢𝓘 changes based on trend direction: A bright green when upwards, lilac when downwards. The strength of the trend is expressed in its distance to Null. Its acceleration is found in the Heikin-Ashi (HA) candles.
The 𝓡𝓢-𝓡𝓢𝓘 in combination with the HA bars can be used to achieve earlier entries, when the former passes across the latter in an obvious divergence.
Case Study
In this example the 𝓡𝓢-𝓡𝓢𝓘 is used to make a few intra-day trades on the Ethereum 15 minute chart. Each trade was open for approximately 5 hours. On the first trade we enter a long in an early entry. The indicator gives us three confirmations which we should all check for. First we have a positive candle developing, secondly the 𝓡𝓢-𝓡𝓢𝓘 (line) rises above the Heikin-Ashi candles, thirdly the classical RSI (the saturated surface in the background) rises as well.
The trader should then calculate their position sizing responsibly and enter into a short daytrade. Please always have invalidation rules, for example a) if the initial HA candle closes negative b) you can place your stop loss at 1SD into the opposite direction.
Always use adequate risk management, never risk more than 1% of your portfolio, unless you are a seasoned trader with your own calculated position sizes.
Always forward test your rules, assets, timeframe and settings sufficiently.
It is always recommended to use multiple Quantra indicators to add confirmations to your signals - this is by design.
Recommended Settings
Please reset to defaults before enabling recommended settings.
Intra-Day Trading (15min chart)
RSI Length: 22
LR Length: 25
Smoothing: EMA
Toggle SD Bands: On
Mode for Coloring: Candles
Trend Following (4H chart)
RSI Length: 40
LR Length: 35
Smoothing: LSMA
Toggle SD Bands: Off
Mode for Coloring: Extremes or Trend Following
Notes
Quantra Standard Value Contents:
The Heikin-Ashi (HA) candle visualization smoothes out the signal line to provide more informative insights into momentum and trends. This allows earlier entries and exits by observing the indicator values transformed by the HA.
Various visualization options are available to adjust the indicator to the user’s preference: Aside from HA, a classic line, or a hybrid of both.
A special feature of Quantra’s indicators is that they are probabilistically built - therefore they work well as confluence and can easily be stacked to increase signal accuracy.
To add to Quantra's indicators’ utility we have added the option to change the price bars colors based on different signals:
Choose Mode for Coloring
Trend Following (Indicator above mid line counts as uptrend, below is downtrend)
Extremes (Everything beyond the SD bands is highlighted to signal mean reversion)
Candles (Color of HA candles as barcolor)
Reversions (Only for HA) (Reversion Signals via the triangles if HA candles change trend while beyond the SD bands, high probability entries/exits)
The 𝓡𝓢-𝓡𝓢𝓘 is finely tuned to detect divergences.
Primarily utilized for trend following, the 𝓡𝓢-𝓡𝓢𝓘 also demonstrates effectiveness in identifying reversions, intensity of movements and the navigation of range-bound markets.
Allows for easy identification of slowdowns in momentum and thus negative rate of change.
Methodology
The 𝓡𝓢-𝓡𝓢𝓘 takes the classical RSI using a specified lookback length and computes the slope of a linear regression line applied to the RSI values. This slope is used to adjust the RSI.
This sloped RSI can be further smoothed using various Moving Averages with customizable lengths.
For a more nuanced view of market trends, the 𝓡𝓢-𝓡𝓢𝓘 applies a specialized Heikin Ashi method. This transformation modifies the Sloped RSI values in order to weigh and reflect the average price, offering a smoother representation compared to traditional candlestick patterns.
The 𝓡𝓢-𝓡𝓢𝓘 calculates upper and lower bounds based on a specified standard deviation multiplier and adjustable lookback period, providing a dynamic framework to identify extrema and thus overbought and oversold conditions.
Particularly in the Heikin Ashi mode, the 𝓡𝓢-𝓡𝓢𝓘 can display reversion signals. These are plotted as shapes on the chart, indicating high probability reversal points in the market trend.
Wave Pendulum Trend [QuantraSystems]Wave Pendulum Trend
Introduction
The Wave Pendulum Trend (𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭) extrapolates market trends using physical principles derived from waves and pendulums. This indicator is a bespoke build, and its performance and behavior cannot be compared to existing indicators.
It is designed for trend following but is also effective for identifying mean reversions, momentum strength, and shows range-bound market periods within the dynamic bands.
In order to ascertain a smooth yet rapid trend direction of the market, the 𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭 combines several factors. A bespoke set of functions captures the momentum of price movements and dynamically weighs it over time. The indicator then extrapolates acceleration from the change in delta of price movements.
Legend
With bar coloring enabled, the price section mirrors current trend conditions. Please keep this feature disabled if you intend to use multiple indicators to avoid confusion.
The 𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭 presents extensive market insights. The purple and green bands around the oscillator signal the selected standard deviation (default σ = 2), for the trader to calculate how common the trending movements are in relation to the selected asset’s history.
The inner, dynamic thresholds, indicated by the blue “Range-bound market” label in the graphic above, border the area that signals a ranging market if both 𝓐𝓬𝓬𝓮𝓵𝓮𝓻𝓪𝓽𝓲𝓸𝓷 and 𝓜𝓸𝓶𝓮𝓷𝓽𝓾𝓶 signals remain inside. If either line exceeds these thresholds, care is advised as a shift in market behavior is underway.
“Trend strength” in the graphic provides a good estimate for the trending movements strength.
If the signal lines exceed the set standard deviation in non-classic mode, a reversal is very likely.
Case Study
As shown in the above case study we see two profitable swing trades on the 4H chart of Ethereum. Please note the display variant here is set to “Heikin-Ashi”.
We always recommend using a multitude of indicators to attain multiple signals on the likelihood of opening the correct position. However, this standalone scenario serves as an example on how the 𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭 added two profitable swing trades.
The first short trade was opened after the 𝓐𝓬𝓬𝓮𝓵𝓮𝓻𝓪𝓽𝓲𝓸𝓷 and 𝓜𝓸𝓶𝓮𝓷𝓽𝓾𝓶 reversed after crossing the threshold of standard deviation. This trade offered a late entry only, these two factors were followed late by the third signal in this case – the trend reversal. Such a trade would require additional indicators to signal at the same time, so the trader can get more confirmations. The trade was closed after 6D with an 8% gain on a 1x short position.
The second trade is a long position that enters in the same manner. The trader takes the reversal beyond the select standard deviation as a likely entry. After 7D a triple confirmation was received, as indicated by the triangle, that a reversal or at least a plateau is extremely likely. The trade was closed after 7D with a 17.23% gain on a 1x long position.
Recommended Settings
Trend Following / Investing (1D chart)
Please use the default settings!
Swing Trading (4H chart)
Wave MA - Type: TEMA
Wave MA – Length: 30
Display Variant: Heikin-Ashi
Bar Coloring: Off
Choose Mode for Coloring: Signal
Notes
Quantra Standard Value Contents:
The Heikin-Ashi (HA) candle visualization smoothes out the signal line to provide more informative insights into momentum and trends. This allows earlier entries and exits by observing the indicator values transformed by the HA.
Various visualization options are available to adjust the indicator to the user’s preference: Aside from HA, a classic line, or a hybrid of both.
A special feature of Quantra’s indicators is that they are probabilistically built - therefore they work well as confluence and can easily be stacked to increase signal accuracy.
To add to Quantra's indicators’ utility we have added the option to change the price bars colors based on different signals:
Settings: TEMA and DEMA length settings should be longer compared to other Moving Averages (MAs). Due to its complex calculations, the indicator requires a larger amount of historical data for accurate computation.
Sensitivity to Divergences: The Wave Pendulum Trend is particularly sensitive to divergences, making it a useful tool in spotting potential trend reversals or continuations.
Trend Following and Reversions: While it is primarily used for trend following, it also excels in identifying market reversions.
Momentum and Acceleration: The interaction between momentum and acceleration is a key feature of this indicator.
Visualization: The indicator offers various visualization options, including bar coloring based on HA Candles and extremes and trends. It also introduces a novel approach to visualizing the oscillator in the "Classic" mode and provides an adjustable Standard Deviation (SD) measure for reversal signals in non-classic modes.
Choose Mode for Coloring
Trend Following (Indicator above mid line counts as uptrend, below is downtrend)
Extremes (Everything beyond the SD bands is highlighted to signal mean reversion)
Candles (Color of HA candles as barcolor)
Reversions (Only for HA) (Reversion Signals via the triangles if HA candles change trend while beyond the SD bands, high probability entries/exits)
Methodology
The methodology behind the Wave Pendulum Trend is inspired by wave and pendulum theories to extrapolate market moves. By calculating the momentum and its acceleration from price data, it provides a nuanced view of the market trend.
Traders should observe the color coding, which reflects the interplay between momentum, acceleration, and set thresholds for acceleration. The Signal Mode is particularly useful for quickly identifying trend, momentum, and acceleration exhaustions.
Additionally, the indicator can help filter out ranges with insufficient momentum acceleration. Traders are encouraged to experiment with this mode and adjust the threshold settings to suit their strategies.
Seasonal Tendencies - SMC IndicatorsA Seasonal Tendency refers to a historical price action behaviour that tends to repeat during specific times of the year, month over month.
It's a roadmap to navigate price action on the daily chart to help determine the medium to long-term bias.
Seasonal Tendencies are NOT an exact prediction of future price action but rather serve as a guideline for spotting high-probability opportunities when combined with other elements of SMC Price Action analysis, such as Order Blocks, Fair Value Gaps, etc...
The Seasonal Tendencies Indicator has been tested to match what ICT has taught in his lectures. It can be applied to any Market or Asset. However, it's limited by the maximum number of years available on tradingview.
Traders can use this Seasonal Tendencies indicator to support their already existing analysis as an added confirmation tool. This indicator should not be used as a main reason to enter a trade idea.
The Seasonal Tendencies Indicator can be used in 2 ways:
1) To look for potential points of long-term reversals during specific times of the year.
2) To look for confirmation and align with an existing long-term trend.
So how does it work?
The Seasonal Tendencies Indicator takes the averages of the last 30, 10, and 5 years' prices by default and compares them to the current year's price action (Green Line).
However, the number of years chosen for the averages can be modified in the indicator's setting.
When looking at the historical price action lines, generally, the price tends to make the lows and highs during specific times of the year.
Note that we should not look at the exact dates these lows and highs form, but we take time periods conceptually instead.
In the example below, the SP500 5-year average made the low on 14 March, and the SP500 10-year average made the low on 23 March.
This gives us the idea that "generally" SP500 makes the low of the year around the 2nd to 3rd week of March every year.
So, IF the trader's analysis was pointing out that SP500 is Bullish, then we use the information that we derived from the Seasonal Tendencies Indicator to look for long setups around the 2nd to 3rd week of March for medium to long-term swing trades.
The Seasonal Tendencies Indicator can also be useful for day traders as it helps support their daily bias to look for trades within the direction of the higher timeframe trend.
How do we measure the strength of the Seasonal Tendencies?
When using the Seasonal Tendencies Indicator, it's important to look for periods where the averages converge and get closer to each other. This usually indicates that during those specific periods, there is a high probability for the price to behave in a certain way.
So the closer the averages are to each other, the more likely the price would respect the Seasonal Tendencies.
Bonus Feature
Premium Discount Range
As a bonus feature, split the Seasonal Tendencies Indicator's Range into 4 quarters to indicate when the price is at a Premium (above the 50% level in Red) and when the price is at a Discount (below the 50% level in blue).
Each Premium and Discount range is also split into 2 halves.
Those levels can also be used to identify potential turning points when comparing the Current Year's price positioning in the Yearly Range to historical price action.
As you can see from the example below, most major turning points happen at around key price levels.
Scalper's Volatility Filter [QuantraSystems]Scalpers Volatility Filter
Introduction
The 𝒮𝒸𝒶𝓁𝓅𝑒𝓇'𝓈 𝒱𝑜𝓁𝒶𝓉𝒾𝓁𝒾𝓉𝓎 𝐹𝒾𝓁𝓉𝑒𝓇 (𝒮𝒱𝐹) is a sophisticated technical indicator, designed to increase the profitability of lower timeframe trading.
Due to the inherent decrease in the signal-to-noise ratio when trading on lower timeframes, it is critical to develop analysis methods to inform traders of the optimal market periods to trade - and more importantly, when you shouldn’t trade.
The 𝒮𝒱𝐹 uses a blend of volatility and momentum measurements, to signal the dominant market condition - trending or ranging.
Legend
The 𝒮𝒱𝐹 consists of a signal line that moves above and below a central zero line, serving as the indication of market regime.
When the signal line is positioned above zero, it indicates a period of elevated volatility. These periods are more profitable for trading, as an asset will experience larger price swings, and by design, trend-following indicators will give less false signals.
Conversely, when the signal line moves below zero, a low volatility or mean-reverting market regime dominates.
This distinction is critical for traders in order to align strategies with the prevailing market behaviors - leveraging trends in volatile markets and exercising caution or implementing mean-reversion systems in periods of lower volatility.
Case Study
Here we can see the indicator's unique edge in action.
Out of the four potential long entries seen on the chart - displayed via bar coloring, two would result in losses.
However, with the power of the 𝒮𝒱𝐹 a trader can effectively filter false signals by only entering momentum-trades when the signal line is above zero.
In this small sample of four trades, the 𝒮𝒱𝐹 increased the win rate from 50% to 100%
Methodology
The methodology behind the 𝒮𝒱𝐹 is based upon three components:
By calculating and contrasting two ATR’s, the immediate market momentum relative to the broader, established trend is calculated. The original method for this can be credited to the user @xinolia
A modified and smoothed ADX indicator is calculated to further assess the strength and sustainability of trends.
The ‘Linear Regression Dispersion’ measures price deviations from a fitted regression line, adding further confluence to the signals representation of market conditions.
Together, these components synthesize a robust, balanced view of market conditions, enabling traders to help align strategies with the prevailing market environment, in order to potentially increase expected value and win rates.
RSI Volatility Bands [QuantraSystems]RSI Volatility Bands
Introduction
The RSI Volatility Bands indicator introduces a unique approach to market analysis by combining the traditional Relative Strength Index (RSI) with dynamic, volatility adjusted deviation bands. It is designed to provide a highly customizable method of trend analysis, enabling investors to analyze potential entry and exit points in a new and profound way.
The deviation bands are calculated and drawn in a manner which allows investors to view them as areas of dynamic support and resistance.
Legend
Upper and Lower Bands - A dynamic plot of the volatility-adjusted range around the current price.
Signals - Generated when the RSI volatility bands indicate a trend shift.
Case Study
The chart highlights the occurrence of false signals, emphasizing the need for caution when the bands are contracted and market volatility is low.
Juxtaposing this, during volatile market phases as shown, the indicator can effectively adapt to strong trends. This keeps an investor in a position even through a minor drawdown in order to exploit the entire price movement.
Recommended Settings
The RSI Volatility Bands are highly customisable and can be adapted to many assets with diverse behaviors.
The calibrations used in the above screenshots are as follows:
Source = close
RSI Length = 8
RSI Smoothing MA = DEMA
Bandwidth Type = DEMA
Bandwidth Length = 24
Bandwidth Smooth = 25
Methodology
The indicator first calculates the RSI of the price data, and applies a custom moving average.
The deviation bands are then calculated based upon the absolute difference between the RSI and its moving average - providing a unique volatility insight.
The deviation bands are then adjusted with another smoothing function, providing clear visuals of the RSI’s trend within a volatility-adjusted context.
rsiVal = ta.rsi(close, rsiLength)
rsiEma = ma(rsiMA, rsiVal, bandLength)
bandwidth = ma(bandMA, math.abs(rsiVal - rsiEma), bandLength)
upperBand = ma(bandMA, rsiEma + bandwidth, smooth)
lowerBand = ma(bandMA, rsiEma - bandwidth, smooth)
long = upperBand > 50 and not (lowerBand < lowerBand and lowerBand < 50)
short= not (upperBand > 50 and not (lowerBand < lowerBand and lowerBand < 50))
By dynamically adjusting to market conditions, the RSI trend bands offer a unique perspective on market trends, and reversal zones.
Volume Spike IndicatorHello dear traders,
Today we're discussing an indicator I've coded: the Volume Spike Indicator (VSI).
The indicator isn't a groundbreaking invention and certainly not a novelty. Nevertheless, I haven't seen this version of the indicator on TradingView before, so I'd like to introduce it.
1. The Origin of the Idea:
We're all familiar with volume charts: A volume chart visually represents the trading activity for a specific asset over a certain period, indicating the total number of shares or contracts traded.
We also know that volume spikes can significantly impact the market. A volume spike represents an extreme anomaly, a day, week, or month with an extraordinary amount of trading. However, recognizing these spikes in practice isn't always straightforward. What constitutes high volume? How do we define and identify it? The answers to these questions aren't easy.
It's commonly said that a volume spike could be identified if the volume is 25% more than the average of the two weeks prior, but how do you measure this 25%? It's not always easy to calculate, especially in real-time.
This challenge led me to develop the concept into an indicator.
How Does It Work?
Imagine being able to "feel" the market's energy like a surfer feels the ocean. The VSI does something similar by examining trading volume and comparing it to what has been typical over the past few weeks. Here's a quick look at the magic behind it:
Step 1: Establishing the Baseline: We start by establishing a baseline, i.e., the average trading volume over a given period. Let's use the last 10 days as the default setting. We choose 10 days because, in the traditional stock market, 10 days represent two weeks if you subtract weekends. This gives us a fixed line to compare against.
Step 2: Recognizing Peaks: Next, we look for days when the trading volume significantly exceeds this average. The size of the jump is where you have a say. You can set a threshold, such as 25%, to define what you consider a volume spike.
Step 3: The Calculation: This is where the math comes into play. We calculate the percentage change in today's volume compared to the average volume of the last 10 days. For example, if today's volume is 30% above the average and you've set your threshold at 25%, the VSI will recognize this as a spike.
Step 4: Visual Cue: These spikes are then plotted on a graph, with each spike represented as a bar. The height of the bar indicates the spike's percentage size, so you can see at a glance how significant a spike is.
Step 5: Intuitive Color Coding: For quick analysis, the VSI employs a color-coding system. Exceptionally high peaks, such as those exceeding a 100% increase, are highlighted in blue to emphasize their importance. Other peaks are shown in red, creating a visual hierarchy for quick volume data interpretation.
Why This Matters:
Identifying these spikes can help pinpoint the beginning or end of a trend. The idea is that when trading peaks at a certain level, there might be no more buyers or sellers willing to engage at that price level. Volume peaks, and a reversal is likely imminent. It's a simple yet effective concept. Therefore, it's crucial to use this indicator in the context of the trend, as not every spike carries the same significance.
Customizable:
The beauty of the VSI lies in its flexibility. Trading futures? You might want to adjust the averaging period to 14 days to better suit your market. You have full control over the settings to tailor them to your trading style.
Interpreting the Figures:
A positive percentage indicates a volume spike above the average – the higher the percentage, the more significant the spike.
If the percentage exceeds a certain threshold (which you can set, e.g., 25%), it signals a volume spike, indicating increased market activity that could precede significant price movement.
What makes the VSI genuinely adaptable is your ability to tweak the parameters to suit your needs.
Are you trading in a volatile market? Extend the SMA period to smooth out the noise. Trading in a 24-hour market? Adjust the length of your SMA. Seeking finer details? Shorten it. The VSI is yours to adapt to your trading strategy.
---------------------------------------------------------------------------------------------------------------------
As we wrap up this introduction to the Volume Spike Indicator, I hope you're as excited about its potential as I am. This tool, born out of curiosity and a desire for clarity in the vast ocean of market data, is designed to be your ally in navigating the waves of trading activity.
Remember, the true power of the VSI lies not just in its ability to highlight significant volume spikes, but in its adaptability to your unique trading style and needs. Whether you're charting courses through the tumultuous seas of day trading or navigating the broader currents of long-term investments, the VSI is here to offer insights and guidance.
I encourage you to experiment with it, customize it, and see how it can enhance your trading strategy. And as you do, remember that every tool, no matter how powerful, is just one piece of the puzzle. Combine the VSI with your knowledge, experience, and intuition to make informed and strategic trading decisions.
Thank you for taking the time to explore the Volume Spike Indicator with me.
Best Regards,
Karim Subhieh
Simple Neural Network Transformed RSI [QuantraSystems]Simple Neural Network Transformed RSI
Introduction
The Simple Neural Network Transformed RSI (ɴɴᴛ ʀsɪ) stands out as a formidable tool for traders who specialize in lower timeframe trading.
It is an innovative enhancement of the traditional RSI readings with simple neural network smoothing techniques.
This unique blend results in fairly accurate signals, tailored for swift market movements. The ɴɴᴛ ʀsɪ is particularly resistant to the usual market noise found in lower timeframes, ensuring a clearer view of short-term trends.
Furthermore, its diverse range of visualization options adds versatility, making it a valuable tool for traders seeking to capitalize on short-duration market dynamics.
Legend
In the Image you can see the BTCUSD 1D Chart with the ɴɴᴛ ʀsɪ in Trend Following Mode to display the current trend. This is visualized with the barcoloring.
Its Overbought and Oversold zones start at 50% and end at 100% of the selected Standard Deviation (default σ = 2), which can indicate extremely rare situations which can lead to either a softening momentum in the trend or even a mean reversion situation.
Here you can also see the original Indicator line and the Heikin Ashi transformed Indicator bars - more on that now.
Notes
Quantra Standard Value Contents:
To draw out all the information from the indicator calculation we have added a Heikin-Ashi (HA) Candle Visualization.
This HA transformation smoothens out the indicator values and gives a more informative look into Momentum and Trend of the Indicator itself.
This allows early entries and exits by observing the HA transformed Indicator values.
To diversify, different visualization options are available, either a classic line, HA transformed or Hybrid, which contains both of the previous.
To make Quantra's Indicators as useful and versatile as possible we have created options
to change the barcoloring and thus the derived signal from the indicator based on different modes.
Option to choose different Modes:
Trend Following (Indicator above mid line counts as uptrend, below is downtrend)
Extremities (Everything going beyond the Deviation Bands in a Mean Reversion manner is highlighted)
Candles (Color of HA candles as barcolor)
Reversion (HA ONLY) (Reversion Signals via the triangles if HA candles change state outside of the Deviation Bands)
- Reversion Signals are indicated by the triangles in the Heikin-Ashi or Hybrid visualization when the HA Candles revert
from downwards to upwards or the other way around OUTSIDE of the SD Bands.
Depending on the Indicator they signal OB/OS areas and can either work as high probability entries and exits for Mean Reversion trades or
indicate Momentum slow downs and potential ranges.
Please use another indicator to confirm this.
Case Study
To effectively utilize the NNT-RSI, traders should know their style and familiarize themselves with the available options.
As stated above, you have multiple modes available that you can combine as you need and see fit.
In the given example mostly only the mode was used in an isolated fashion.
Trend Following:
Purely relied on State Change - Midline crossover
Could be combined with Momentum or Reversion analysis for better entries/exits.
Extremities:
Ideal entry/exit is in the accordingly colored OS/OB Area, the Reversion signaled the latest possible entry/exit.
HA Candles:
Specifically applicable for strong trends. Powerful and fast tool.
Can whip if used as sole condition.
Reversions:
Shows the single entry and exit bars which have a positive expected value outcome.
Can also be used as confirmation or as last signal.
Please note that we always advise to find more confluence by additional indicators.
Traders are encouraged to test and determine the most suitable settings for their specific trading strategies and timeframes.
In the showcased trades the default settings were used.
Methodology
The Simple Neural Network Transformed RSI uses a simple neural network logic to process RSI values, smoothing them for more accurate trend analysis.
This is achieved through a linear combination of RSI values over a specified input length, weighted evenly to produce a neural network output.
// Simple neural network logic (linear combination with weighted aggregation)
var float inputs = array.new_float(nnLength, na)
for i = 0 to nnLength - 1
array.set(inputs, i, rsi1 )
nnOutput = 0.0
for i = 0 to nnLength - 1
nnOutput := nnOutput + array.get(inputs, i) * (1 / nnLength)
nnOutput
This output is then compared against a standard or dynamic mean line to generate trend following signals.
Mean = ta.sma(nnOutput, sdLook)
cross = useMean? 50 : Mean
The indicator also incorporates Heikin Ashi candlestick calculations to provide additional insights into market dynamics, such as trend strength and potential reversals.
// Calculate Heikin Ashi representation
ha = ha(
na(nnOutput ) ? nnOutput : nnOutput ,
math.max(nnOutput, nnOutput ),
math.min(nnOutput, nnOutput ),
nnOutput)
Standard deviation bands are used to create dynamic overbought and oversold zones, further enhancing the tool's analytical capabilities.
// Calculate Dynamic OB/OS Zones
stdv_bands(_src, _length, _mult) =>
float basis = ta.sma(_src, _length)
float dev = _mult * ta.stdev(_src, _length)
= stdv_bands(nnOutput, sdLook,sdMult/2)
= stdv_bands(nnOutput, sdLook, sdMult)
The Standard Deviation bands take defined parameters from the user, in this case sigma of ideally between 2 to 3,
to help the indicator detect extremely improbable conditions and thus take an inversely probable signal from it to forward to the user.
The parameter settings and also the visualizations allow for ample customizations by the trader.
For questions or recommendations, please feel free to seek contact in the comments.
Rolling VWAP [QuantraSystems]Rolling VWAP
Introduction
The Rolling VWAP (R͜͡oll-VWAP) indicator modernizes the traditional VWAP by recalculating continuously on a rolling window, making it adept at pinpointing market trends and breakout points.
Its dual functionality includes both the dynamic rolling VWAP and a customizable anchored VWAP, enhanced by color-coded visual cues, thereby offering traders valuable flexibility and insight for their market analysis.
Legend
In the Image you can see the BTCUSD 1D Chart with the R͜͡oll-VWAP overlay.
You can see the individually activatable Standard Deviation (SD) Bands and the main VWAP Line.
It also features a Trend Signal which is deactivated by default and can be enabled if required.
Furthermore you can find the coloring of the VWAP line to represent the Trend.
In this case the trend itself is defined as:
Close being greater than the VWAP line -> Uptrend
Close below the VWAP line -> Downtrend
Notes
The R͜͡oll-VWAP can be used in a variety of ways.
Volatility adjusted expected range
This aims to identify in which range the asset is likely to move - according to the historical values the SD Bands are calculated and thus their according probabilities displayed.
Trend analysis
Trending above or below the VWAP shows up or down trends accordingly.
S/R Levels
Based on the probability distribution the 2. SD often works as a Resistance level and either mid line or 1. SD lines can act as S/R levels
Unsustainable levels
Based on the probability distributions a SD level of beyond 2.5, especially 3 and higher is hit very seldom and highly unsustainable.
This can either mean a mean reversion state or a momentum slowdown is necessary to get back to a sustainable level.
Please note that we always advise to find more confluence by additional indicators.
Traders are encouraged to test and determine the most suitable settings for their specific trading strategies and timeframes.
Methodology
The R͜͡oll-VWAP is based on the inbuilt TV VWAP.
It expands upon the limitations of having an anchored timeframe and thus a limited data set that is being reset constantly.
Instead we have integrated a rolling nature that continuously calculates the VWAP over a customizable lookback.
To also keep the base utility it is possible to use the anchored timeframes as well.
Furthermore the visualization has been improved and we added the coloring of the main VWAP line according to the Trend as stated above.
The applicable Trend signals are also part of that.
The parameter settings and also the visualizations allow for ample customizations by the trader.
For questions or recommendations, please feel free to seek contact in the comments.
Triple Confirmation Kernel Regression Base [QuantraSystems]Kernel Regression Oscillator - BASE
Introduction
The Kernel Regression Oscillator (ᏦᏒᎧ) represents an advanced tool for traders looking to capitalize on market trends.
This Indicator is valuable in identifying and confirming trend directions, as well as probabilistic and dynamic oversold and overbought zones.
It achieves this through a unique composite approach using three distinct Kernel Regressions combined in an Oscillator. The additional Chart Overlay Indicator adds confidence to the signal.
This methodology helps the trader to significantly reduce false signals and offers a more reliable indication of market movements than more widely used indicators can.
Legend
The upper section is the Overlay. It features the Signal Wave to display the current trend.
Its Overbought and Oversold zones start at 50% and end at 100% of the selected Standard Deviation (default σ = 3), which can indicate extremely rare situations which can lead to either a softening momentum in the trend or even a mean reversion situation.
The lower one is the Base Chart - This Indicator.
It features the Kernel Regression Oscillator to display a composite of three distinct regressions, also displaying current trend.
Its Overbought and Oversold zones start at 50% and end at 100% of the selected Standard Deviation (default σ = 2), which can indicate extremely rare situations.
Case Study
To effectively utilize the ᏦᏒᎧ, traders should use both the additional Overlay and the Base
Chart at the same time. Then focus on capturing the confluence in signals, for example:
If the 𝓢𝓲𝓰𝓷𝓪𝓵 𝓦𝓪𝓿𝓮 on the Overlay and the ᏦᏒᎧ on the Base Chart both reside near the extreme of an Oversold zone the probability is higher than normal that momentum in trend may soften or the token may even experience a reversion soon.
If a bar is characterized by an Oversold Shading in both the Overlay and the Base Chart, then the probability is very high to experience a reversion soon.
In this case the trader may want to look for appropriate entries into a long position, as displayed here.
If a bar is characterized by an Overbought Shading in either Overlay or Base Chart, then the probability is high for momentum weakening or a mean reversion.
In this case the trade may have taken profit and closed his long position, as displayed here.
Please note that we always advise to find more confluence by additional indicators.
Recommended Settings
Swing Trading (1D chart)
Overlay
Bandwith: 45
Width: 2
SD Lookback: 150
SD Multiplier: 2
Base Chart
Bandwith: 45
SD Lookback: 150
SD Multiplier: 2
Fast-paced, Scalping (4min chart)
Overlay
Bandwith: 75
Width: 2
SD Lookback: 150
SD Multiplier: 3
Base Chart
Bandwith: 45
SD Lookback: 150
SD Multiplier: 2
Notes
The Kernel Regression Oscillator on the Base Chart is also sensitive to divergences if that is something you are keen on using.
For maximum confluence, it is recommended to use the indicator both as a chart overlay and in its Base Chart.
Please pay attention to shaded areas with Standard Deviation settings of 2 or 3 at their outer borders, and consider action only with high confidence when both parts of the indicator align on the same signal.
This tool shows its best performance on timeframes lower than 4 hours.
Traders are encouraged to test and determine the most suitable settings for their specific trading strategies and timeframes.
The trend following functionality is indicated through the "𝓢𝓲𝓰𝓷𝓪𝓵 𝓦𝓪𝓿𝓮" Line, with optional "Up" and "Down" arrows to denote trend directions only (toggle “Show Trend Signals”).
Methodology
The Kernel Regression Oscillator takes three distinct kernel regression functions,
used at similar weight, in order to calculate a balanced and smooth composite of the regressions. Part of it are:
The Epanechnikov Kernel Regression: Known for its efficiency in smoothing data by assigning less weight to data points further away from the target point than closer data points, effectively reducing variance.
The Wave Kernel Regression: Similarly assigning weight to the data points based on distance, it captures repetitive and thus wave-like patterns within the data to smoothen out and reduce the effect of underlying cyclical trends.
The Logistic Kernel Regression: This uses the logistic function in order to assign weights by probability distribution on the distance between data points and target points. It thus avoids both bias and variance to a certain level.
kernel(source, bandwidth, kernel_type) =>
switch kernel_type
"Epanechnikov" => math.abs(source) <= 1 ? 0.75 * (1 - math.pow(source, 2)) : 0.0
"Logistic" => 1/math.exp(source + 2 + math.exp(-source))
"Wave" => math.abs(source) <= 1 ? (1 - math.abs(source)) * math.cos(math.pi * source) : 0.
kernelRegression(src, bandwidth, kernel_type) =>
sumWeightedY = 0.
sumKernels = 0.
for i = 0 to bandwidth - 1
base = i*i/math.pow(bandwidth, 2)
kernel = kernel(base, 1, kernel_type)
sumWeightedY += kernel * src
sumKernels += kernel
(src - sumWeightedY/sumKernels)/src
// Triple Confirmations
Ep = kernelRegression(source, bandwidth, 'Epanechnikov' )
Lo = kernelRegression(source, bandwidth, 'Logistic' )
Wa = kernelRegression(source, bandwidth, 'Wave' )
By combining these regressions in an unbiased average, we follow our principle of achieving confluence for a signal or a decision, by stacking several edges to increase the probability that we are correct.
// Average
AV = math.avg(Ep, Lo, Wa)
The Standard Deviation bands take defined parameters from the user, in this case sigma of ideally between 2 to 3,
to help the indicator detect extremely improbable conditions and thus take an inversely probable signal from it to forward to the user.
The parameter settings and also the visualizations allow for ample customizations by the trader. The indicator comes with default and recommended settings.
For questions or recommendations, please feel free to seek contact in the comments.
Blockunity Excess Index (BEI)Identify excess zones resulting in market reversals by visualizing price deviations from an average.
The Excess Index (BEI) is designed to identify excess zones resulting in reversals, based on price deviations from a moving average. This moving average is fully customizable (type, period to be taken into account, etc.). This indicator also multiplies the moving average with a configurable coefficient, to give dynamic support and resistance levels. Finally, the BEI also provides reversal signals to alert you to any risk of trend change, on any asset.
The Idea
The goal is to provide the community with a visual and customizable tool for analyzing large price deviations from an average.
How to Use
Very simple to use, this indicator plots colored zones according to the price's deviation from the moving average. Moving average extensions also provide dynamic support and resistance. Finally, signals alert you to potential reversal points.
Elements
The Moving Average
The Moving Average, which defaults to a gray line over 200 periods, serves as a stable reference point. It is accompanied by an Index, whose color varies from yellow to orange to red, offering an overview of market conditions.
Extensions
These dynamic lines can be used to determine effective supports and resistances.
Signals
Green and red triangles serve as clear indicators for buy and sell signals.
Settings
Mainly, the type of moving average is configurable. The default is an SMA.
A Simple Moving Average (SMA) calculates the average of a selected range of prices by the number of periods in that range.
But you can also, for example, switch the mode to EMA.
The Exponential Moving Average (EMA) is a moving average that places a greater weight and significance on the most recent data points:
You also have WMA.
A Weighted Moving Average (WMA) gives more weight on recent data and less on past data:
And finally, the possibility of having a PCMA.
PCMA takes into account the highest and lowest points in the lookback period and divides this by two to obtain an average:
You can change other parameters such as lookback periods, as well as the coefficient used to define extension lines.
You can refer to the tooltips directly in the indicator parameters.
For those who prefer a minimalist display, you can activate a "Bar Color" in the settings (You must also uncheck "Borders" and "Wick" in your Chart Settings), and deactivate all other elements as you wish:
Finally, you can customize all the different colors, as well as the parameters of the table that indicates the Index value and the asset trend.
How it Works
The Index is calculated using the following method:
abs_distance = math.abs(close - base_ma)
bei = (abs_distance - ta.lowest(abs_distance, lookback_norm)) / (ta.highest(abs_distance, lookback_norm) - ta.lowest(abs_distance, lookback_norm)) * 100
Signals are triggered according to the following conditions:
A Long (buy) signal is triggered when the Index falls below 100, when the closing price is lower than 5 periods ago, and when the price is under the moving average.
A Short (sell) signal is triggered when the Index falls below 100, when the closing price is greater than 5 periods ago, and when the price is above the moving average.
TotalCustomTotalCustom sums our custom altcoin list's market caps together.
Primarily used to compare to the following:
A. price of bitcoin
B. Total 1, Total 2, Total 3
Used in the following way:
When there is a large gap on fixed time frames (i.e. 3 month, 6 month, YTD) between this indicator and the main comparisons, it is generally considered a good time to buy.
