K's Reversal Indicator IIIK's Reversal Indicator III is based on the concept of autocorrelation of returns. The main theory is that extreme autocorrelation (trending) that coincide with a technical signals such as one from the RSI, may result in a powerful short-term signal that can be exploited.
The indicator is calculated as follows:
1. Calculate the price differential (returns) as the current price minus the previous price.
2. the correlation between the current return and the return from 14 periods ago using a lookback of 14 periods.
3. Calculate a 14-period RSI on the close prices.
To generate the signals, use the following rules:
* A bullish signal is generated whenever the correlation is above 0.60 while the RSI is below 40.
* A bearish signal is generated whenever the correlation is above 0.60 while the RSI is above 60.
Göreceli Güç Endeksi (RSI)
RSI Trend Detector PSAR BasedRSI Trend Detector is based on the Direction of PSAR. This indicator helps the easy detection of Trend Direction and Sideways Movement of Price. It was difficult to determine the RSI Trend Direction in a basic RSI indicator. one cannot decide the exact entry point where to enter.
RSI Trend Detector helps with the direction of trend using PSAR direction which is almost instant direction changing indicator with Zero Lag. The color of the RSI changes immediately based on PSAR direction. One can determine the trend whether its in UP / Down or Sideways.
One can easily detect Pullback and entry points using this indicator.
The basic working can be interpreted with a normal default RSI, The only additional feature is the direction of trend using a SAR signal.
Oversold Zone is below 30
Overbought Zone is above 70
how ever RSI above 50 is treated a UP trend and Below 50 as Down Trend.
when RSI is between 40 and 60 price must be considered as Sideways. One can easily interpret the TREND.
Yellow Line = RSI Moving Average
RED and Green Line= RSI
Grey Zone = Sideways
Horizontal line = RSI level 50
Settings can be changed as required.
RSI Line:
RSI Above 50 up trend and Entry when color is green
RSI Below 50 down trend and Entry when color is Red
RSI in Grey Zone is sideways, wait for a breakout
RSI above 50 and color is red then its a pullback in uptrend
RSI below 50 and color is green then its a pullback in downtrend
ALERTS:
Up signal and Down Signal are provided when ever RSI crosses RSIMA
Up Signal: RSI crosses RSI Moving Average upwards
Down Signal: RSI crosses RSI Moving Average Downwards
Hope the Tradingview community likes this.
GKD-E Variety RSI [Loxx]The Giga Kaleidoscope GKD-E Variety RSI is a confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System."
█ GKD-E Variety RSI
This indicator is an RSI indicator with the following 9 RSI types to be used for exit signals in the GKD trading system.
This indicator includes 9 types of RSI
1. Regular RSI
2. Slow RSI
3. Ehlers Smoothed RSI
4. Cutler's RSI or Rapid RSI
5. RSI T3
6. RSI DEMA
7. Harris' RSI
8. RSI TEMA
9. Jurik RSX
Regular RSI
The Relative Strength Index (RSI) is a widely used technical indicator in the field of financial market analysis. Developed by J. Welles Wilder Jr. in 1978, the RSI is a momentum oscillator that measures the speed and change of price movements. It helps traders identify potential trend reversals, overbought, and oversold conditions in a market.
The RSI is calculated based on the average gains and losses of an asset over a specified period, typically 14 days. The formula for calculating the RSI is as follows:
RSI = 100 - (100 / (1 + RS))
Where:
RS (Relative Strength) = Average gain over the specified period / Average loss over the specified period
The RSI ranges from 0 to 100, with values above 70 generally considered overbought (potentially indicating that the asset is overvalued and may experience a price decline) and values below 30 considered oversold (potentially indicating that the asset is undervalued and may experience a price increase).
Slow RSI
The Slow RSI is a variation of the standard RSI, which introduces a smoothing technique to the RSI calculation itself. The primary difference between the Slow RSI and the standard RSI lies in the calculation of the RSI value. In the Slow RSI, the current RSI value is calculated as a moving average of the previous RSI value and the standard RSI value for the current period.
The primary advantage of the Slow RSI is that it offers enhanced signal stability, reducing noise and potentially providing more reliable trading signals for traders.
Comparison with the original RSI
To better understand the potential advantages and disadvantages of the Slow RSI, it is essential to compare its performance against the original RSI.
Advantages
1. The Slow RSI provides enhanced signal stability by smoothing the RSI calculation, which can help traders better assess market conditions and identify potential overbought or oversold situations.
2. By offering more stable and reliable signals, the Slow RSI may improve the performance of trading strategies based on the RSI, especially in noisy or choppy market conditions.
Disadvantages
1. The smoothing technique employed by the Slow RSI may result in a slower response to changes in price momentum compared to the original RSI. This could lead to delayed signals for entering or exiting trades, which may not be ideal for short-term traders or fast-moving markets.
2. As the Slow RSI is less known and less widely used than the standard RSI, traders may find it more challenging to find resources and support for implementing this variation of the indicator.
The Slow RSI is an interesting modification of the standard RSI, offering potential benefits in terms of signal stability and reliability. However, it is crucial to recognize its limitations, such as a potentially slower response to changes in price momentum. Traders should carefully consider the potential advantages and drawbacks of using the Slow RSI compared to the original RSI before incorporating it into their trading strategies. Ultimately, the choice between the original RSI and the Slow RSI will depend on individual traders' preferences and the specific market conditions they are analyzing.
Ehlers Smoothed RSI
Ehlers Smoothed RSI is a variation of the standard RSI developed by John F. Ehlers, which introduces a smoothing technique to the price input data. The smoothing process involves averaging the current price with the previous two price values, which helps reduce noise and provide a more accurate representation of price momentum. The calculation of up and down price movements remains similar to the original RSI, but the smoothing technique alters the input data.
The primary advantage of Ehlers Smoothed RSI is that it reduces noise and offers a more accurate representation of price momentum, potentially providing more reliable signals for traders.
Comparison with the original RSI
To better understand the potential advantages and disadvantages of Ehlers Smoothed RSI, it is essential to compare its performance against the original RSI.
Advantages
1. Ehlers Smoothed RSI reduces noise by smoothing the price input data, which can help traders better assess market conditions and identify potential overbought or oversold situations.
2. By providing a more accurate representation of price momentum, Ehlers Smoothed RSI may offer more reliable signals for entering or exiting trades, potentially improving the performance of trading strategies based on the RSI.
Disadvantages
1. The smoothing technique employed by Ehlers Smoothed RSI may result in a slower response to changes in price momentum compared to the original RSI. This could lead to delayed signals for entering or exiting trades, which may not be ideal for short-term traders or fast-moving markets.
2. As Ehlers Smoothed RSI is less known and less widely used than the standard RSI, traders may find it more challenging to find resources and support for implementing this variation of the indicator.
Ehlers Smoothed RSI is an intriguing modification of the standard RSI, offering potential benefits in terms of noise reduction and accuracy. However, it is crucial to recognize its limitations, such as a potentially slower response to changes in price momentum. Traders should carefully consider the potential advantages and drawbacks of using Ehlers Smoothed RSI compared to the original RSI before incorporating it into their trading strategies. Ultimately, the choice between the original RSI and Ehlers Smoothed RSI will depend on individual traders' preferences and the specific market conditions they are analyzing.
Cutler's RSI or Rapid RSI
Cutler's RSI is a variation of the standard RSI, which modifies the calculation of average gains and losses. While the original RSI employs exponential moving averages (EMAs) for average gains and losses, Cutler's RSI utilizes simple moving averages (SMAs) instead. This change results in a slightly different behavior of the oscillator compared to the original RSI.
The primary advantage of Cutler's RSI is that it offers a simpler calculation method, which can potentially make it easier to understand and implement for traders. Additionally, by using SMAs, Cutler's RSI may provide a more consistent and stable representation of price momentum.
Comparison with the original RSI
It is essential to recognize the limitations and performance of Cutler's RSI compared to the original RSI to understand its potential advantages and disadvantages better.
Advantages
1. Cutler's RSI has a simpler calculation method, using SMAs instead of EMAs. This makes it easier to understand and implement for traders who prefer a more straightforward approach to technical analysis.
2. By using SMAs, Cutler's RSI may provide a more stable and consistent representation of price momentum, which can help traders better assess market conditions and identify potential overbought or oversold situations.
Disadvantages
1. The use of SMAs in Cutler's RSI may result in a slower response to changes in price momentum compared to the original RSI. This could lead to delayed signals for entering or exiting trades, which may not be ideal for short-term traders or fast-moving markets.
2. As Cutler's RSI is less known and less widely used than the standard RSI, it may be more challenging to find resources and support for implementing this variation of the indicator.
Cutler's RSI is an interesting modification of the standard RSI, offering potential benefits in terms of simplicity and stability. However, it is crucial to recognize its limitations, such as a potentially slower response to changes in price momentum. Traders should carefully consider the potential advantages and drawbacks of using Cutler's RSI compared to the original RSI before incorporating it into their trading strategies. Ultimately, the choice between the original RSI and Cutler's RSI will depend on individual traders' preferences and the specific market conditions they are analyzing.
RSI T3
The T3 RSI is a variation of the standard RSI that introduces the Triple Smoothed Exponential Moving Average (T3) into the calculation process. The primary difference between the T3 RSI and the standard RSI lies in the calculation of the average gains and losses. Instead of using simple moving averages or exponential moving averages, the T3 RSI utilizes T3 to calculate the average gains and losses for up and down price movements.
The primary advantage of the T3 RSI is that it offers enhanced responsiveness and accuracy compared to the original RSI, potentially providing more reliable trading signals for traders.
Comparison with the original RSI
To better understand the potential advantages and disadvantages of the T3 RSI, it is essential to compare its performance against the original RSI.
Advantages
1. The T3 RSI provides enhanced responsiveness and accuracy by incorporating the Triple Smoothed Exponential Moving Average into the calculation of average gains and losses. This can help traders better assess market conditions and identify potential overbought or oversold situations.
2. By offering more responsive and accurate signals, the T3 RSI may improve the performance of trading strategies based on the RSI, especially in fast-moving markets or during periods of high price volatility.
Disadvantages
1. The T3 RSI's increased responsiveness may result in more frequent trading signals, which could lead to higher trading costs or a higher likelihood of false signals.
2. As the T3 RSI is less known and less widely used than the standard RSI, traders may find it more challenging to find resources and support for implementing this variation of the indicator.
The T3 RSI is an innovative modification of the standard RSI, offering potential benefits in terms of responsiveness and accuracy. However, it is crucial to recognize its limitations, such as a potentially higher likelihood of false signals due to increased responsiveness. Traders should carefully consider the potential advantages and drawbacks of using the T3 RSI compared to the original RSI before incorporating it into their trading strategies. Ultimately, the choice between the original RSI and the T3 RSI will depend on individual traders' preferences and the specific market conditions they are analyzing.
RSI DEMA
The DEMA RSI is a variation of the standard RSI that introduces the Double Exponential Moving Average (DEMA) into the calculation process. The primary difference between the DEMA RSI and the standard RSI lies in the calculation of the average gains and losses. Instead of using simple moving averages or exponential moving averages, the DEMA RSI utilizes DEMA to calculate the average gains and losses for up and down price movements.
The primary advantage of the DEMA RSI is that it offers enhanced responsiveness and accuracy compared to the original RSI, potentially providing more reliable trading signals for traders.
Comparison with the original RSI
To better understand the potential advantages and disadvantages of the DEMA RSI, it is essential to compare its performance against the original RSI.
Advantages
1. The DEMA RSI provides enhanced responsiveness and accuracy by incorporating the Double Exponential Moving Average into the calculation of average gains and losses. This can help traders better assess market conditions and identify potential overbought or oversold situations.
2. By offering more responsive and accurate signals, the DEMA RSI may improve the performance of trading strategies based on the RSI, especially in fast-moving markets or during periods of high price volatility.
Disadvantages
1. The DEMA RSI's increased responsiveness may result in more frequent trading signals, which could lead to higher trading costs or a higher likelihood of false signals.
2. As the DEMA RSI is less known and less widely used than the standard RSI, traders may find it more challenging to find resources and support for implementing this variation of the indicator.
The DEMA RSI is an innovative modification of the standard RSI, offering potential benefits in terms of responsiveness and accuracy. However, it is crucial to recognize its limitations, such as a potentially higher likelihood of false signals due to increased responsiveness. Traders should carefully consider the potential advantages and drawbacks of using the DEMA RSI compared to the original RSI before incorporating it into their trading strategies. Ultimately, the choice between the original RSI and the DEMA RSI will depend on individual traders' preferences and the specific market conditions they are analyzing.
Harris' RSI
Harris' RSI is a variation of the standard RSI, designed to address some of its limitations and improve its performance in detecting potential trend reversals and filtering out noise. The key difference between the Harris' RSI and the standard RSI lies in the calculation of average gains and losses. While the standard RSI calculation uses exponential moving averages (EMAs) of gains and losses, Harris' RSI uses a different approach to compute the average gains and losses based on the number of up and down price movements.
The primary advantage of Harris' RSI is that it aims to provide a more adaptive and responsive indicator, making it better suited for detecting potential trend reversals and filtering out noise in the market. By taking into account the number of up and down price movements, Harris' RSI can be more sensitive to changes in the trend, potentially providing earlier signals for entering or exiting trades.
Comparison with the original RSI
While Harris' RSI offers potential improvements over the standard RSI, it is essential to recognize its limitations and compare its performance against the original RSI.
Advantages
1. Harris' RSI can potentially provide earlier signals for trend reversals due to its sensitivity to the number of up and down price movements. This can help traders to identify better entry and exit points in the market.
2. By focusing on the number of up and down price movements, Harris' RSI can filter out noise in the market, reducing the likelihood of false signals that may lead to losing trades.
Disadvantages
1. The increased sensitivity of Harris' RSI to price movements can lead to more frequent signals, which may result in overtrading and increased trading costs.
2. Harris' RSI is less known and less widely used than the standard RSI, which may make it more challenging to find resources and support for implementing this variation of the indicator.
Harris' RSI is an interesting variation of the standard RSI, offering potential advantages in detecting trend reversals and filtering out noise. However, like any technical indicator, it has its limitations and may not be suitable for all trading styles or market conditions. Traders should carefully consider the potential benefits and drawbacks of using Harris' RSI compared to the original RSI before incorporating it into their trading strategies. Ultimately, the choice between the original RSI and Harris' RSI will depend on individual traders' preferences and the specific market conditions they are analyzing.
RSI TEMA
The TEMA RSI is a variation of the standard RSI that introduces the Triple Exponential Moving Average (TEMA) into the calculation process. The primary difference between the TEMA RSI and the standard RSI lies in the calculation of the average gains and losses. Instead of using simple moving averages or exponential moving averages, the TEMA RSI utilizes TEMA to calculate the average gains and losses for up and down price movements.
The primary advantage of the TEMA RSI is that it offers enhanced responsiveness and accuracy compared to the original RSI, potentially providing more reliable trading signals for traders.
Comparison with the original RSI
To better understand the potential advantages and disadvantages of the TEMA RSI, it is essential to compare its performance against the original RSI.
Advantages
1. The TEMA RSI provides enhanced responsiveness and accuracy by incorporating the Triple Exponential Moving Average into the calculation of average gains and losses. This can help traders better assess market conditions and identify potential overbought or oversold situations.
2. By offering more responsive and accurate signals, the TEMA RSI may improve the performance of trading strategies based on the RSI, especially in fast-moving markets or during periods of high price volatility.
Disadvantages
1. The TEMA RSI's increased responsiveness may result in more frequent trading signals, which could lead to higher trading costs or a higher likelihood of false signals.
2. As the TEMA RSI is less known and less widely used than the standard RSI, traders may find it more challenging to find resources and support for implementing this variation of the indicator.
The TEMA RSI is an innovative modification of the standard RSI, offering potential benefits in terms of responsiveness and accuracy. However, it is crucial to recognize its limitations, such as a potentially higher likelihood of false signals due to increased responsiveness. Traders should carefully consider the potential advantages and drawbacks of using the TEMA RSI compared to the original RSI before incorporating it into their trading strategies. Ultimately, the choice between the original RSI and the TEMA RSI will depend on individual traders' preferences and the specific market conditions they are analyzing.
Jurik RSX
The Jurik RSX, developed by Mark Jurik, is a variation of the standard RSI that aims to provide a smoother and more responsive indicator by applying a unique smoothing algorithm based on a series of recursive calculations. The Jurik RSX calculates the price momentum (mom) and the absolute price momentum (moa) using a three-stage filtering process, which ultimately results in a smoother and more responsive output compared to the original RSI.
Comparison with the original RSI
To better understand the potential benefits and drawbacks of the Jurik RSX, it is essential to compare its performance against the original RSI.
Advantages
1. The Jurik RSX offers enhanced responsiveness and smoothness due to its unique recursive filtering process, allowing traders to better identify potential trend reversals, overbought, and oversold conditions.
2. The improved responsiveness of the Jurik RSX may result in more timely trading signals, helping traders to capitalize on opportunities more effectively, especially in fast-moving markets or during periods of high price volatility.
Disadvantages
1. The increased complexity of the Jurik RSX calculation may make it more challenging for traders to understand and implement compared to the original RSI.
2. As the Jurik RSX is less known and less widely used than the standard RSI, traders may find it more difficult to find resources and support for implementing this variation of the indicator.
The Jurik RSX is an innovative modification of the standard RSI, offering potential benefits in terms of responsiveness and smoothness. However, it is crucial to recognize its limitations, such as increased complexity and limited resources compared to the original RSI. Traders should carefully consider the potential advantages and drawbacks of using the Jurik RSX before incorporating it into their trading strategies. Ultimately, the choice between the original RSI and the Jurik RSX will depend on individual traders' preferences and the specific market conditions they are analyzing.
█ Giga Kaleidoscope Modularized Trading System
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
8. Metamorphosis - a technical indicator that produces a compound signal from the combination of other GKD indicators*
*(not part of the NNFX algorithm)
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
What is an Metamorphosis indicator?
The concept of a metamorphosis indicator involves the integration of two or more GKD indicators to generate a compound signal. This is achieved by evaluating the accuracy of each indicator and selecting the signal from the indicator with the highest accuracy. As an illustration, let's consider a scenario where we calculate the accuracy of 10 indicators and choose the signal from the indicator that demonstrates the highest accuracy.
The resulting output from the metamorphosis indicator can then be utilized in a GKD-BT backtest by occupying a slot that aligns with the purpose of the metamorphosis indicator. The slot can be a GKD-B, GKD-C, or GKD-E slot, depending on the specific requirements and objectives of the indicator. This allows for seamless integration and utilization of the compound signal within the GKD-BT framework.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v2.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
6. GKD-M - Metamorphosis module (Metamorphosis, Number 8 in the NNFX algorithm, but not part of the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data to A backtest module wherein the various components of the GKD system are combined to create a trading signal.
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Multi-Ticker CC Backtest
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Advance Trend Pressure as shown on the chart above
Confirmation 2: uf2018
Continuation: Coppock Curve
Exit: Rex Oscillator
Metamorphosis: Baseline Optimizer
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, GKD-M, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD system.
█ Giga Kaleidoscope Modularized Trading System Signals
Standard Entry
1. GKD-C Confirmation gives signal
2. Baseline agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
1-Candle Standard Entry
1a. GKD-C Confirmation gives signal
2a. Baseline agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
7. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
1-Candle Baseline Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Volatility/Volume Entry
1. GKD-V Volatility/Volume gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Volatility/Volume Entry
1a. GKD-V Volatility/Volume gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSVVC Bars Back' prior
Next Candle
1b. Price retraced
2b. Volatility/Volume agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Baseline agrees
Confirmation 2 Entry
1. GKD-C Confirmation 2 gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Volatility/Volume agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Confirmation 2 Entry
1a. GKD-C Confirmation 2 gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSC2C Bars Back' prior
Next Candle
1b. Price retraced
2b. Confirmation 2 agrees
3b. Confirmation 1 agrees
4b. Volatility/Volume agrees
5b. Baseline agrees
PullBack Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price is beyond 1.0x Volatility of Baseline
Next Candle
1b. Price inside Goldie Locks Zone Minimum
2b. Price inside Goldie Locks Zone Maximum
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Continuation Entry
1. Standard Entry, 1-Candle Standard Entry, Baseline Entry, 1-Candle Baseline Entry, Volatility/Volume Entry, 1-Candle Volatility/Volume Entry, Confirmation 2 Entry, 1-Candle Confirmation 2 Entry, or Pullback entry triggered previously
2. Baseline hasn't crossed since entry signal trigger
4. Confirmation 1 agrees
5. Baseline agrees
6. Confirmation 2 agrees
GKD-C TMMS Oscillator [Loxx]The Giga Kaleidoscope GKD-C TMMS Oscillator is a confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System."
█ GKD-C TMMS Oscillator
TMMS Oscillator uses the Relative Strength Index (RSI) and two stochastic oscillators to gauge market momentum. By normalizing these indicators around a central value, it identifies upward, downward, or neutral market conditions. Based on these assessments, the algorithm generates potential buy and sell signals determined by whether the combined momentum crosses or intersects with a central line.
█ Giga Kaleidoscope Modularized Trading System
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
8. Metamorphosis - a technical indicator that produces a compound signal from the combination of other GKD indicators*
*(not part of the NNFX algorithm)
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
What is an Metamorphosis indicator?
The concept of a metamorphosis indicator involves the integration of two or more GKD indicators to generate a compound signal. This is achieved by evaluating the accuracy of each indicator and selecting the signal from the indicator with the highest accuracy. As an illustration, let's consider a scenario where we calculate the accuracy of 10 indicators and choose the signal from the indicator that demonstrates the highest accuracy.
The resulting output from the metamorphosis indicator can then be utilized in a GKD-BT backtest by occupying a slot that aligns with the purpose of the metamorphosis indicator. The slot can be a GKD-B, GKD-C, or GKD-E slot, depending on the specific requirements and objectives of the indicator. This allows for seamless integration and utilization of the compound signal within the GKD-BT framework.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v2.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
6. GKD-M - Metamorphosis module (Metamorphosis, Number 8 in the NNFX algorithm, but not part of the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data to A backtest module wherein the various components of the GKD system are combined to create a trading signal.
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Multi-Ticker CC Backtest
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Advance Trend Pressure as shown on the chart above
Confirmation 2: uf2018
Continuation: Coppock Curve
Exit: Rex Oscillator
Metamorphosis: Baseline Optimizer
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, GKD-M, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD system.
█ Giga Kaleidoscope Modularized Trading System Signals
Standard Entry
1. GKD-C Confirmation gives signal
2. Baseline agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
1-Candle Standard Entry
1a. GKD-C Confirmation gives signal
2a. Baseline agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
7. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
1-Candle Baseline Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Volatility/Volume Entry
1. GKD-V Volatility/Volume gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Volatility/Volume Entry
1a. GKD-V Volatility/Volume gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSVVC Bars Back' prior
Next Candle
1b. Price retraced
2b. Volatility/Volume agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Baseline agrees
Confirmation 2 Entry
1. GKD-C Confirmation 2 gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Volatility/Volume agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Confirmation 2 Entry
1a. GKD-C Confirmation 2 gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSC2C Bars Back' prior
Next Candle
1b. Price retraced
2b. Confirmation 2 agrees
3b. Confirmation 1 agrees
4b. Volatility/Volume agrees
5b. Baseline agrees
PullBack Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price is beyond 1.0x Volatility of Baseline
Next Candle
1b. Price inside Goldie Locks Zone Minimum
2b. Price inside Goldie Locks Zone Maximum
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Continuation Entry
1. Standard Entry, 1-Candle Standard Entry, Baseline Entry, 1-Candle Baseline Entry, Volatility/Volume Entry, 1-Candle Volatility/Volume Entry, Confirmation 2 Entry, 1-Candle Confirmation 2 Entry, or Pullback entry triggered previously
2. Baseline hasn't crossed since entry signal trigger
4. Confirmation 1 agrees
5. Baseline agrees
6. Confirmation 2 agrees
YinYang RSIYinYang RSI is a Momentum Oscillator. It is loosely based on the standard RSI but uses our Custom True Value Zone Algorithm. Essentially it is a stronger, more accurate RSI that isn't manipulated by consolidation. YinYang RSI moves slightly slower than the standard RSI but when it does move it is much more accurate.
Why do we deem YinYang RSI to be a more accurate RSI? Well, let's discuss some of the underlying logic behind it. YinYang RSI is derived from the High and Low data from multiple Security Requests, we send that data into a modified Donchian Channel to calculate its Basis. That basis is then taken and averaged between multiple different VWMA calculations to ‘Smooth’ it out before we send it into an RSI calculation and display the final results.
This may sound a little confusing and you may be wondering, why bother doing this? The main reason we created the YinYang RSI is to remove the fact that consolidation causes Regular RSI to go down in index value. In our opinion RSI shouldn’t go down due to consolidation. By removing consolidation from RSI it innately made the RSI more smooth and since it became more smooth there were less times it crossed the RSI Moving Average (MA). In turn, since it crosses the RSI MA less, it means when it does cross the RSI MA, it is a much stronger more accurate signal; but don’t just take our word for it! Let’s get into some examples to show you exactly how it works:
Our RSI is very smooth, because of the way we apply VWMA to it, it keeps it from being a jagged line like the regular RSI is:
Our Indicator features 3 RSI’s in it: YinYangRSI, Regular RSI and YinYang Stoch RSI. The reason there are 3 is not only for the Information Tables (we will talk about this later), but also for the fact that you can overlay them on top of each other.
Here is the same dates but with Regular RSI:
Hopefully you can see how different they are and how smooth ours is, but if not, lets overlay them so you get a better idea:
When the YinYang RSI and Regular RSI are overlaid on top of each other, the Regular RSI’s colors change for easier readability. The Regular RSI turns Pink and the Regular RSI MA turns Orange. As you can see here, they function much differently and it is quite clear that the YinYang RSI holds itself during consolidation and is more smooth.
You may be asking yourself, this is great and all, but how does it help me trade?
Well, now that you understand the difference between YinYang and Regular RSI let's discuss exactly that!
So as you can see in the image above, when the RSI crosses the RSI MA it represents a strong movement in price is likely about to occur. When the RSI is very low (20 or less) and it crosses ABOVE the RSI MA, this represents a BUY/LONG signal. When the RSI is very high (80 or above) and it crosses BELOW the RSI MA, this represents a SELL/SHORT signal.
There are times where it is a good time to buy or sell, but the RSI may not be in the right place. This is rare but it does happen. We marked a location that did exactly that with an Orange circle in the picture above. These things happen, however we don’t recommend you act on them. The main reason is that they are much more risky. Nothing will ever be 100% accurate, but the key is making decisions that are more in your favor than not. When the RSI and RSI MA cross and the RSI is near 50, it's much less accurate, however, not impossible for it to be a good signal.
Now you may be wondering, how come I see 2 SELL or 2 BUY signals before the RSI moves a lot? This is quite normal. Based on the picture above, all of the BUY and SELL signals are accurate, but not all of them have insane price movements. However, they all did feature SOME price movements. Just because a BUY or SELL (RSI and RSI MA crossing) happens, doesn’t mean the RSI is going to move all the way from 80 to 20, sometimes the price only moves a bit and then corrects back. This is completely normal.
The part that is up to you is knowing when to exit these trades. You can use the YinYang RSI to see entry locations for Long/Short, but it can be risky to assume that you can go from a BUY right to a SELL and vice versa.
Don’t fret, there is a reason we have our YinYang Stoch RSI within this indicator and its not just because we felt like it! When you overlay the YinYang RSI and YinYang Stoch RSI on top of each other, you can get a very good idea of when a signal may be over and likely it’s a good time to get out. However, first, just so you understand what our YinYang Stoch RSI does, let's take a quick look at it.
At first glance, the YinYang Stoch RSI can look pretty strange and even overwhelming, this is completely normal. It features drastic movements, but only when there is good reason to! When the blue line (K) crosses the orange line (D) it represents momentum in price. So when the blue line crosses above the orange line it means BUY and when the blue line crosses below the orange line it means SELL.
How it works with the YinYang RSI is simple, lets toggle the two of them on together in the settings:
It may look a little confusing at first, and we don’t necessarily recommend you do it for your entry as it can be a little too much and sometimes confusing, but it can be very helpful for understanding your exit and if the momentum has changed/died down. Here's an example based on our initial BUY/SELL image above:
So since we’re talking about the double SELL signal and how to know if its momentum is ending we’ve zoomed in on this example. Here we can see where the pink circle is, that the YinYang Stoch RSI has gained buy momentum and the sell momentum has likely ended here. This is canceled out however, by the fact that shortly after we see another SELL signal combined with the Stoch RSI crossing under and also showing SELL momentum. The blue Vertical lines are to show visually where the stoch crossed over/under as they can be a little hard to see visually. Also, based on this example, you can see where the orange circle is that was clearly a very good buy location and also has the stoch crossover in that location too. So even though the RSI isn’t very low, there is still a decent amount of bullish momentum in that location. Is this enough for you to make a purchase on? In our opinion, it’s still a little too risky, but maybe it fits your trading style, or maybe you decide its a good time to Dollar Cost Average / purchase just a small amount.
Now, you may be wondering, as we mentioned it early, what are those Information Tables that have been sitting on the right of every example?
These Information Tables are there to display very important Time Frame data for you. Not only can you see 6 Different Time Frames, which you can customize within your Settings. You also get to see the level of RSI and RSI MA for YinYang, Regular and YinYang Stoch RSI. Being able to see this data on multiple different Time Frames without having to change the Time Frame you are on can be very helpful, especially if you’re trading on a lower Time Frame like 15 minutes. The color of the box is based on if the RSI has crossed the MA or not. When the box is Green, the RSI is greater than the MA (Bullish). When the box is Red, the RSI is less than the MA (Bearish).
This concludes our Tutorial on how to use YinYang RSI, below you will see all of our current Settings, what they all mean and how you can customize them.
Settings:
1. Show Signals:
Signals are when the RSI crosses the RSI MA (for any RSI TYPE active). When these crosses happen, it will make a plot on the chart that represents Buy and Sell Signals. These signals have alerts that correspond with them, but you will manually need to set up these alerts yourself through the indicator. Please refer to TradingView for how to set up alerts.
2. RSI Type:
We have 3 types of RSI’s within this Indicator:
YinYang RSI
Regular RSI
YinYang Stoch RSI
These RSI’s can be used individually or overlaid on top of each other for easier comparison. It can be useful to go back and forth between indicators or have them overlaid to get a better understanding of what's going on.
2.1. YinYang RSI:
Our YinYang RSI is our custom RSI that is based on our True Value Zone Algorithm. It is the main purpose of this Indicator but can be used in conjunction with Regular RSI and YinYang Stoch RSI. YinYang RSI is a much more smooth, slow moving form of RSI that doesn’t go down from consolidation and therefore makes the RSI and RSI MA crosses much more accurate.
2.2. Regular RSI:
This is a regular RSI that is within our indicator so you can make comparisons and also overlay on top of our YinYang RSI and/or YinYang Stoch.
2.3. YinYang Stoch RSI:
This is a Stoch RSI that is calculated with our YinYang RSI’s values to create a very unique Stoch RSI. Our YinYang Stoch RSI moves very drastically and quickly when there is true momentum swings but it never really hovers in the middle. It makes its way from 0-100 and 100-0 within 2-3 candles usually and if it makes it all the way, you know there is momentum backing this price movement.
3. Information Tables:
3.1. Show Information Tables:
Our Information tables display 6 different Time Frame resolutions to give you the data of YinYang RSI/MA, Regular RSI/MA and Stoch RSI/MA over multiple different Time Frames so you don’t constantly have to keep changing yours and can focus on the trade at hand.
You can choose to display:
‘All’,
‘None’,
‘YinYang RSI’,
‘Regular RSI’,
‘YinYang Stoch RSI’
and/or any combination of the three so you can see all the data you want to your liking.
3.2. Display Tables Direction:
Since there are 6 different Time Frames shown, and you have the ability to display all 3 RSI and MA values, this table can get pretty big. If you have a large monitor and not too many indicators active it's no big deal and a vertical display is likely what you’ll want. However, if you have a smaller monitor or many Indicators active, it will scrunch this Indicator and make it difficult to see all of your Time Frames in the tables. For this reason, we have the option to display them ‘Horizontally’.
3.3. Res1 / Res2/ Res3 / Res4 / Res5 / Res6:
These represent the different resolutions (Time Frames) being used in your information tables and can be modified to display whatever resolution works best for your trading style. By default they are:
Res1: Current Timeframe
Res2: 15 Minute
Res3: 1 Hour
Res4: 4 Hour
Res5: 1 Day
Res6: 1 Week
Backup Res (not changeable): 5 Minute (this is only used if your Current Timeframe in Res1 is a duplicate of one of the other resolutions)
Alerts are available and customizable within the Indicator. You can set up an alert for any of the RSI crossing Signals.
If you have any Questions or Concerns, don’t hesitate to contact us.
HAPPY TRADING!
YinYang RSI Volume Trend StrategyThere are many strategies that use RSI or Volume but very few that take advantage of how useful and important the two of them combined are. This strategy uses the Highs and Lows with Volume and RSI weighted calculations on top of them. You may be wondering how much of an impact Volume and RSI can have on the prices; the answer is a lot and we will discuss those with plenty of examples below, but first…
How does this strategy work?
It’s simple really, when the purchase source crosses above the inner low band (red) it creates a Buy or Long. This long has a Trailing Stop Loss band (the outer low band that's also red) that can be adjusted in the Settings. The Stop Loss is based on a % of the inner low band’s price and by default it is 0.1% lower than the inner band’s price. This Stop Loss is not only a stop loss but it can also act as a Purchase Available location.
You can get back into a trade after a stop loss / take profit has been hit when your Reset Purchase Availability After condition has been met. This can either be at Stop Loss, Entry or None.
It is advised to allow it to reset in case the stop loss was a fake out but the call was right. Sometimes it may trigger stop loss multiple times in a row, but you don’t lose much on stop loss and you gain lots when the call is right.
The Take Profit location is the basis line (white). Take Profit occurs when the Exit Source (close, open, high, low or other) crosses the basis line and then on a different bar the Exit Source crosses back over the basis line. For example, if it was a Long and the bar’s Exit Source closed above the basis line, and then 2 bars later its Exit Source closed below the basis line, Take Profit would occur. You can disable Take Profit in Settings, but it is very useful as many times the price will cross the Basis and then correct back rather than making it all the way to the opposing zone.
Longs:
If for instance your Long doesn’t need to Take Profit and instead reaches the top zone, it will close the position when it crosses above the inner top line (green).
Please note you can change the Exit Source too which is what source (close, open, high, low) it uses to end the trades.
The Shorts work the same way as the Long but just opposite, they start when the purchase source crosses under the inner upper band (green).
Shorts:
Shorts take profit when it crosses under the basis line and then crosses back.
Shorts will Stop loss when their outer upper band (green) is crossed with the Exit Source.
Short trades are completed and closed when its Exit Source crosses under the inner low red band.
So, now that you understand how the strategy works, let’s discuss why this strategy works and how it is profitable.
First we will discuss Volume as we deem it plays a much bigger role overall and in our strategy:
As I’m sure many of you know, Volume plays a huge factor in how much something moves, but it also plays a role in the strength of the movement. For instance, let’s look at two scenarios:
Bitcoin’s price goes up $1000 in 1 Day but the Volume was only 10 million
Bitcoin’s price goes up $200 in 1 Day but the Volume was 40 million
If you were to only look at the price, you’d say #1 was more important because the price moved x5 the amount as #2, but once you factor in the volume, you know this is not true. The reason why Volume plays such a huge role in Price movement is because it shows there is a large Limit Order battle going on. It means that both Bears and Bulls believe that price is a good time to Buy and Sell. This creates a strong Support and Resistance price point in this location. If we look at scenario #2, when there is high volume, especially if it is drastically larger than the average volume Bitcoin was displaying recently, what can we decipher from this? Well, the biggest take away is that the Bull’s won the battle, and that likely when that happens we will see bullish movement continuing to happen as most of the Bears Limit Orders have been fulfilled. Whereas with #2, when large price movement happens and Bitcoin goes up $1000 with low volume what can we deduce? The main takeaway is that Bull’s pressured the price up with Market Orders where they purchased the best available price, also what this means is there were very few people who were wanting to sell. This generally dictates that Whale Limit orders for Sells/Shorts are much higher up and theres room for movement, but it also means there is likely a whale that is ready to dump and crash it back down.
You may be wondering, what did this example have to do with YinYang RSI Volume Trend Strategy? Well the reason we’ve discussed this is because we use Volume multiple times to apply multiplications in our calculations to add large weight to the price when there is lots of volume (this is applied both positively and negatively). For instance, if the price drops a little and there is high volume, our strategy will move its bounds MUCH lower than the price actually dropped, and if there was low volume but the price dropped A LOT, our strategy will only move its bounds a little. We believe this reflects higher levels of price accuracy than just price alone based on the examples described above.
Don’t believe us?
Here is with Volume NOT factored in (VWMA = SMA and we remove our Volume Filter calculation):
Which produced -$2880 Profit
Here is with our Volume factored in:
Which produced $553,000 (55.3%)
As you can see, we wen’t from $-2800 profit with volume not factored to $553,000 with volume factored. That's quite a big difference! (Please note previous success does not predict future success we are simply displaying the $ amounts as example).
Now how about RSI and why does it matter in this strategy?
As I’m sure most of you are aware, RSI is one of the leading indicators used in trading. For this reason we figured it would only make sense to incorporate it into our calculations. We fiddled with RSI for quite awhile and sometimes what logically seems to be the right way to use it isn’t. Now, because of this, our RSI calculation is a little odd, but basically what we’re doing is we calculate the RSI, then turn it into a percentage (between 0-1) that can easily be multiplied to the price point we need. The price point we use is the difference between our high purchase zone and our low purchase zone. This allows us to see how much price movement there is between zones. We multiply our zone size with our RSI multiplication and we get the amount we will add +/- to our basis line (white line). This officially creates the NEW high and low purchase zones that we are actually using and displaying in our trades.
If you found that confusing, here are some examples to why it is an important calculation for this strategy:
Before RSI factored in:
Which produced 27.8% Profit
After RSI factored in:
Which produced 553% Profit
As you can see, the RSI makes not only the purchase zones more accurate, but it also greatly increases the profit the strategy is able to make. It also helps ensure an relatively linear profit slope so you know it is reliable with its trades.
This strategy can work on pretty much anything, but you should tweak the values a bit for each pair you are trading it with for best results.
We hope you can find some use out of this simple but effective strategy, if you have any questions, comments or concerns please let us know.
HAPPY TRADING!
Bollinger RSI BandsIndicator Description:
The "Bollinger RSI Bands" is an advanced technical analysis tool designed to empower traders with comprehensive insights into market trends, reversals, and overbought/oversold conditions. This multifaceted indicator combines the unique features of candle coloration and Bollinger Bands with the Relative Strength Index (RSI), making it an indispensable tool for traders seeking to optimize their trading strategies.
Purpose:
The primary purpose of the "Bollinger RSI Bands" indicator is to provide traders with a holistic view of market dynamics by offering the following key functionalities:
Candle Coloration: The indicator's signature candle colors - green for bullish and red for bearish - serve as a visual representation of the prevailing market trend, enabling traders to quickly identify and confirm market direction.
RSI-Based Moving Average: A smoothed RSI-based moving average is plotted, facilitating the detection of trend changes and potential reversal points with greater clarity.
RSI Bands: Upper and lower RSI bands, set at 70 and 30, respectively, help traders pinpoint overbought and oversold conditions, aiding in timely entry and exit decisions.
Bollinger Bands: In addition to RSI bands, Bollinger Bands are overlaid on the RSI-based moving average, offering insights into price volatility and highlighting potential breakout opportunities.
How to Use:
To maximize the utility of the "Bollinger RSI Bands" indicator, traders can follow these essential steps:
Candle Color Confirmation: Assess the color of the candles. Green candles signify a bullish trend, while red candles indicate a bearish trend, providing a clear and intuitive visual confirmation of market direction.
Overbought and Oversold Identification: Monitor price levels relative to the upper RSI band (70) for potential overbought signals and below the lower RSI band (30) for potential oversold signals, allowing for timely adjustments to trading positions.
Trend Reversal Recognition: Observe changes in the direction of the RSI-based moving average. A transition from bearish to bullish, or vice versa, can serve as a valuable signal for potential trend reversals.
Volatility and Breakout Opportunities: Keep a watchful eye on the Bollinger Bands. Expanding bands signify increased price volatility, often signaling forthcoming breakout opportunities.
Why Use It:
The "Bollinger RSI Bands" indicator offers traders several compelling reasons to incorporate it into their trading strategies:
Clear Trend Confirmation: The indicator's distinct candle colors provide traders with immediate confirmation of the current trend direction, simplifying trend-following strategies.
Precise Entry and Exit Points: By identifying overbought and oversold conditions, traders can make more precise entries and exits, optimizing their risk-reward ratios.
Timely Trend Reversal Signals: Recognizing shifts in the RSI-based moving average direction allows traders to anticipate potential trend reversals and adapt their strategies accordingly.
Volatility Insights: Bollinger Bands offer valuable insights into price volatility, aiding in the identification of potential breakout opportunities.
User-Friendly and Versatile: Despite its advanced features, the indicator remains user-friendly and versatile, catering to traders of all experience levels.
In summary, the "Bollinger RSI Bands" indicator is an indispensable tool for traders seeking a comprehensive view of market dynamics. With its unique combination of candle coloration and Bollinger Bands, it empowers traders to make more informed and strategic trading decisions, ultimately enhancing their trading outcomes.
Note: Always utilize this indicator in conjunction with other technical and fundamental analysis tools and exercise prudence in your trading decisions. Past performance is not indicative of future results.
SMA/EMA/RSImagic 36.963 by IgorPlahutaTwo Elements in this script:
Alerts: These are notifications that draw your attention to specific market conditions. There are two types:
RSI Higher Lows or Lower Highs: This alert triggers when the Relative Strength Index (RSI) forms higher lows or lower highs.
RSI Exiting 30 (Up) or RSI Exiting 70 (Down): These alerts activate when the RSI crosses the 30 threshold upwards or the 70 threshold downwards.
ALL BUY/SELL: to catch both of them with one setting
To Set Up an Alert: To configure an alert, select the one relevant to your trading strategy, choose the "Greater than" option, and input a value of "0" (this essentially activates the alert). Adjust other settings as per your requirements.
Please note that these alerts should be used in conjunction with a system you trust for confirmation.
Moving Averages: This involves monitoring several moving averages:
SMA12, SMA20, EMA12, EMA20: These moving averages are highlighted with background colors to help you quickly identify changes or crossovers. They are superimposed on each other for easy comparison.
SMA 50, SMA200: These moving averages are also highlighted with background colors to spot crossovers, and their lines change color depending on their direction (falling in red or rising in green).
Enjoy using these tools in your trading endeavors!
ZN Market CycleDescription
The purpose of this indicator is to create symbols that try to show the most accurate positions possible for trading. The formation of BUY/SELL symbols is based on the intersection of RSI, MACD and 6 bar moving average. Additionally, BOLLINGER bands were used to determine the lower and upper points. For example, while the price is falling, it will create an BOTTOM symbol when the price crosses the lower BOLLINGER band upwards. If this transition is accompanied by the RSI breaking its average upwards, it will produce the STRONG BOTTOM symbol. If the RSI average crosses the RSIMA direction upwards, it will produce the DEEP symbol. Of course, the scenario described above is also valid in the opposite direction. The purpose of the icons on the screen is indicated by the text above them. However, a detailed explanation of what these symbols do is given below.
Symbols
The symbols are explained one by one below.
BOTTOM: Indicates that the fall has slowed down or may have been completed.
STRONG BOTTOM: Indicates that the fall has stopped or may have been completed.
TOP: Indicates that the ascent has slowed down or may have been completed.
STRONG TOP: Indicates that the ascent has stopped or may have been completed.
BUY: Indicates the convenient location to make a buying. Buying pressure may increase after this symbol.
STRONG BUY: Indicates the most suitable location for buying. It should be considered that a strong buying wave may come after the appearance of this symbol.
SELL: Indicates the appropriate location to selling Selling pressure may increase after this symbol.
STRONG SELL: Indicates the most suitable position to selling. It should be considered that a strong selling wave may come after the appearance of this symbol.
PEAK: It indicates that the uptrend has come to an end.
DEEP: It indicates that the downtrend has come to an end.
ARROWS: Arrows show the trend direction. Since it varies a lot, it should be used to follow the trend rather than buy/sell. However, the appearance of a downward arrow shortly after a buy signal should suggest that the buy signal is fake. In this case, the buying position can be closed. This also applies to the selling process.
Best Use
This indicator should be used for SPOT trades. Regardless, since it is not possible to know exactly the direction of the market, it should be considered to buy gradually at buy signals and sell gradually at sell signals.
It should be followed for at least a 4-hour period. We do not recommend its use as the margin of error will increase in shorter time periods.
After a buy signal comes, a short decline may occur and the rise may begin. An immediate rise should not be expected after the signal arrives. Since the signals are not guaranteed to work 100%, we do not recommend you to trade with all your money.
No Repainting
Repainting is definitely not done. After the symbols appear, the closing should be expected. Once the closing occurs, the symbol will now be permanent.
Disclaimer
This indicator is for informational purposes only and should be used for educational purposes only. You may lose money if you rely on this to trade without additional information. Use at your own risk.
Version
v1.0
W and M Pattern Indicator- SwaGThis is a TradingView indicator script that identifies potential buy and sell signals based on ‘W’ and ‘M’ patterns in the Relative Strength Index (RSI). It provides visual alerts and draws horizontal lines to indicate potential trade entry points.
User Manual:
Inputs: The script takes two inputs - an upper limit and a lower limit. The default values are 70 and 40, respectively.
RSI Calculation: The script calculates the RSI based on the closing prices of the last 14 periods.
Pattern Identification: It identifies ‘W’ patterns when the RSI makes a higher low within the lower limit, and ‘M’ patterns when the RSI makes a lower high within the upper limit.
Visual Alerts: The script plots these patterns on the chart. ‘W’ patterns are marked with small green triangles below the bars, and ‘M’ patterns are marked with small red triangles above the bars.
Trade Entry Points: A horizontal line is drawn at the high or low of the candle to represent potential trade entry points. The line starts from one bar to the left and extends 10 bars to the right.
Trading Strategy:
For investing, use a weekly timeframe.
For swing trading, use a daily timeframe.
For intraday trading, use a 5 or 15-minute timeframe. Only consider sell-side signals for intraday trading.
Take a buy position if the high breaks above the green line or sell if the low breaks below the red line.
Use recent signals only and avoid signals that are too old.
Swing highs or lows will be your stop-loss level.
Always think about your stop-loss before entering a trade, not your target.
Avoid trades with a large stop-loss.
Remember, this script is a tool to aid in your trading decisions. Always test your strategies thoroughly before live trading. Happy trading! 😊
Sudden increase in volume [PINESCRIPTLABS]The indicator plots buying and selling histograms on the price chart, as well as graphical signals in the form of triangles to highlight buying and selling conditions. Buying conditions are based on a sudden increase in volume and oversold RSI, while selling conditions are based on a sudden increase in volume and overbought RSI.
In summary, this strategy aims to identify moments when there is a significant surge in trading volume along with overbought or oversold conditions in the RSI. These moments are considered potential signals for buying or selling in the market.
Sudden Volume Surge: It checks if the current volume is greater than a multiple of the exponential moving average of volume (EMA) calculated with a specific length (ema_length). This indicates a sudden surge in trading volume.
RSI Overbought and Oversold Levels: Two RSI values, rsi_overbought and rsi_oversold, are used as references. If the RSI value is below the rsi_oversold level, it is considered to be in oversold territory, and if the RSI value is above the rsi_overbought level, it is considered to be in overbought territory.
El indicador plotea histogramas de compra y venta en el gráfico de precios, así como señales gráficas en forma de triángulos para resaltar las condiciones de compra y venta. Las condiciones para la compra se basan en un aumento brusco de volumen y un RSI en sobreventa, mientras que las condiciones para la venta se basan en un aumento brusco de volumen y un RSI en sobrecompra.
En resumen, esta estrategia busca identificar momentos en los que haya un aumento significativo en el volumen de operaciones junto con condiciones de sobrecompra o sobreventa en el RSI. Estos momentos se consideran señales potenciales de compra o venta en el mercado.
Aumento brusco de volumen: Se verifica si el volumen actual es mayor que un múltiplo del promedio móvil exponencial del volumen (EMA) calculado con una longitud específica (ema_length). Esto indica un aumento repentino en el volumen de operaciones.
Niveles de RSI en sobrecompra y sobreventa: Se utilizan dos valores de RSI como referencia, rsi_overbought y rsi_oversold. Si el valor del RSI está por debajo del nivel rsi_oversold, se considera que está en territorio de sobreventa, y si el valor del RSI está por encima del nivel rsi_overbought, se considera que está en territorio de sobrecompra.
RSI Divergence SmoothedRSI Divergence Smoothed
This indicator is based on the RSI Divergence indicator by @InvestitoreComune.
The "RSI Divergence Smoothed" is a custom technical indicator designed to highlight divergence between two RSI (Relative Strength Index) lines: a fast RSI and a slow RSI. The divergence is then visualized on the chart, assisting traders in recognizing potential market reversals and trend continuation.
Here's a breakdown of its smoothing options added:
1. **WMA Difference**: The indicator first computes a weighted moving average (WMA) difference, which takes the difference between the WMA of half the input length and the WMA of the full length.
2. **Hull Moving Average (HMA)**: The indicator can use the HMA as a filter. HMA combines the benefits of a simple moving average and a linear weighted moving average, aiming to be faster in response to price changes.
3. **Sine Weighted Moving Average (SWMA)**: Another filter option, SWMA, weighs the data points by the sine of their position in the data set, giving more weight to the central data points.
4. **Kaufman's Adaptive Moving Average (KAMA)**: KAMA adapts to price volatility and can also be used as a filter. It's especially useful in choppy markets, adjusting the smoothing constant based on the relative volatility of the price series.
5. **Gaussian Moving Average (GMA)**: This filter uses a Gaussian kernel to weigh the data points, emphasizing the more recent data while giving lesser importance to older data. It helps smooth out the price data, potentially eliminating some of the noise.
I've personally found the KAMA smoothing to be most helpful but keen to hear of anyone's personal experiences and recommendations.
RSI divergence computations are based on the filtered price (or raw price if no filter is chosen) - the indicator calculates two RSIs:
- Fast RSI: With a default length of 5 periods.
- Slow RSI: With a default length of 14 periods.
The core functionality of this indicator is to compute the divergence between the Fast and Slow RSI. The divergence is plotted on the chart, with the color indicating its direction: white for positive divergence and red for negative.
Laguerre RSI - non repaintingIt seems that the traditional Laguerre* functions repaint due to the gamma parameter.
That goes even for the editorial pick here.
But one could use calculation period instead of "gamma" parameter. This gives us a non-repainting Laguerre RSI fit for scalping trends.
At first glance, I haven't seen anyone do this with a pine script, but I could be wrong because it's not a big deal.
So here is a variation of Laguerre RSI, without repainting. It's a little bit more insensitive, but this is not of great importance, since only the extreme values are used for confirmation.
( * Laguerre RSI is based on John EHLERS' Laguerre Filter to avoid the noise of RSI.)
And if you implement this indicator into a strategy (like I do) I can give you a trick.
Traditionaly the condition is at follows:
LaRSI = cd == 0 ? 100 : cu / (cu + cd)
(this is the final part of the indicator before the plotting)
LongLaguerre= LaRSIupb
It's fine for the short (ot exit long), but for the long is better to make a swich between the CD and CU parameters, as follows:
LaRSI1 = cd == 0 ? 100 : cu / (cu + cd)
LaRSI2 = cu == 0 ? 100 : cu / (cu + cd)
LongLaguerre= LaRSI2upb
GP - Long Short ScannerThis script is made to predict the point at which price-time charts will rise or fall. The script was inspired by the RSI and TSI formulas. The formula is simply; Calculates the RSI and TSI values of open, high, low and close. Calculated values are converted to an array. The maximum and minimum values in the array are taken for the candles included in the calculation. These values calculate the time when the "Long" label will be seen on the chart of the candle that will increase the price. At the same time, it calculates the time when the "Short" label will appear on the chart of the candle that will decrease the price. Although these calculations are not precise; Seeing the “Long” label means that the price will rise at that candle, and seeing the “Short” label means that the price will decrease at that candle. The “Long”, “Short” tags from this script alone should not be used to determine the direction of the price. It can be used on all price-time charts.
Zaree - RSI Gradient FillDescription:
The "Zaree - RSI Gradient Fill" (RGF) indicator is a technical analysis tool designed to enhance the interpretation of the Relative Strength Index (RSI) by incorporating visual cues through gradient fill. This indicator aids traders in identifying potential overbought and oversold conditions in the market using the RSI as a key reference.
Details of the Indicator:
The indicator calculates the RSI of a selected source based on user-defined settings for length and source.
Traders have the option to choose from various types of moving averages (SMA, EMA, SMMA, WMA) to calculate the RSI.
RSI values and their corresponding moving average values are plotted on the chart for visual analysis.
The indicator offers customization through input settings for RSI length, RSI source, and moving average type and length.
Upper and lower bands for the RSI are displayed on the chart, providing visual cues for potential overbought and oversold conditions.
A center line is plotted on the chart to help traders identify the equilibrium point of the RSI.
The gradient fill feature enhances the visualization by coloring the space between the RSI plot and the center line based on RSI levels.
How to Use the Indicator:
Specify the RSI length and source for calculation.
Choose the desired moving average type and set the length for the moving average.
Observe the RSI values, moving average lines, and the center line plotted on the chart.
Pay attention to the position of the RSI values relative to the upper and lower bands. Values above the upper band suggest potential overbought conditions, while values below the lower band indicate potential oversold conditions.
Interpret the gradient fill between the RSI plot and the center line. The color changes provide additional visual cues about the RSI's strength compared to the center line.
Example of Usage:
As an experienced swing trader, you can leverage the RGF indicator to fine-tune your trading decisions. Here's an example of how you might use the indicator:
Select your preferred RSI length and source, such as the closing price.
Choose "SMA" as the moving average type and set the length to 14.
Observe the RSI values plotted on the chart along with the upper and lower bands.
Pay special attention to the gradient fill between the RSI plot and the center line. This coloring offers valuable insights into the RSI's position relative to equilibrium.
Look for instances where the RSI values cross above or below the upper and lower bands. These crossings can signal potential trend shifts or reversals.
Use the gradient fill colors to quickly assess the strength of the RSI's deviation from the center line.
Remember that the RGF indicator is a powerful tool to complement your trading strategy. Consider combining its insights with other technical and fundamental analyses for well-informed trading decisions.
Feel free to adjust the indicator settings according to your trading preferences and style. While the RGF indicator provides valuable visual cues, always consider the broader context of the market before making trading choices.
Price Strength Index + RSI Buy/Sell ZonesThe Price Strength Index + RSI Buy/Sell Zones indicator is a technical analysis tool designed to evaluate the strength of a financial asset's price movement by comparing it with a series of Volume Weighted Moving Averages (VWMAs) of different lengths calculated from historical data.
Hypothesis :
The core hypothesis behind this indicator is that assessing the relationship between the current price and a range of VWMAs with varying lengths can provide valuable insights into the strength and direction of a price trend. Additionally, it incorporates Relative Strength Index (RSI) conditions to further refine potential buy and sell signals.
How It Works :
Multiple VWMA Calculation: The indicator calculates multiple VWMAs, each with a different length, using historical price data and volume. These VWMAs represent weighted moving averages over various periods, helping to capture different aspects of the price trend.
Comparison with Current Price : For each of these VWMAs, the indicator compares the current bar's price with the VWMA value. This comparison is crucial in understanding how the current price relates to historical averages, shedding light on the strength and direction of the prevailing trend.
SMA of Percentage Above VWMA : The indicator calculates the Simple Moving Average (SMA) of the percentage of prices above the various VWMAs over a specified period. This moving average smoothens out the percentage data, providing a clearer trend signal.
Buy and Sell Zones : User-defined upper and lower thresholds for the percentage of prices above the VWMAs are used to define buy and sell zones. When the percentage falls below the lower threshold, it signals a potential buy zone, suggesting a weakening trend. Conversely, when it exceeds the upper threshold, it signifies a potential sell zone, indicating a strengthening trend.
RSI Integration : The RSI is calculated for the selected price source with a specified length. When the SMA of the percentage above VWMAs falls within the buy zone and the RSI is below the lower RSI threshold, it indicates an oversold condition, potentially signaling a buy opportunity. Conversely, when the SMA falls within the sell zone and the RSI is above the upper RSI threshold, it suggests an overbought condition, possibly signaling a sell opportunity.
Color Coding : The indicator employs color-coding to visually represent the buy and sell zones, as well as extreme RSI conditions. Green color denotes the buy zone, red represents the sell zone, and orange lines indicate the median and potential reversal points.
In summary, the Price Strength Index + RSI Buy/Sell Zones indicator leverages multiple VWMAs of different lengths to assess the relationship between current prices and historical moving averages. This comprehensive analysis, coupled with RSI conditions, aids traders in identifying potential buy and sell zones, as well as extreme RSI points within those zones, enhancing the evaluation of price strength and potential trend reversals.
Ultimate RSI [LuxAlgo]The Ultimate RSI indicator is a new oscillator based on the calculation of the Relative Strength Index that aims to put more emphasis on the trend, thus having a less noisy output. Opposite to the regular RSI, this oscillator is designed for a trend trading approach instead of a contrarian one.
🔶 USAGE
While returning the same information as a regular RSI, the Ultimate RSI puts more emphasis on trends, and as such can reach overbought/oversold levels faster as well as staying longer within these areas. This can avoid the common issue of an RSI regularly crossing an overbought or oversold level while the trend makes new higher highs/lower lows.
The Ultimate RSI crossing above the overbought level can be indicative of a strong uptrend (highlighted as a green area), while an Ultimate RSI crossing under the oversold level can be indicative of a strong downtrend (highlighted as a red area).
The Ultimate RSI crossing the 50 midline can also indicate trends, with the oscillator being above indicating an uptrend, else a downtrend. Unlike a regular RSI, the Ultimate RSI will cross the midline level less often, thus generating fewer whipsaw signals.
For even more timely indications users can observe the Ultimate RSI relative to its signal line. An Ultimate RSI above its signal line can indicate it is increasing, while the opposite would indicate it is decreasing.
🔹 Smoothing Methods
Users can return more reactive or smoother results depending on the selected smoothing method used for the calculation of the Ultimate RSI. Options include:
Exponential Moving Average (EMA)
Simple Moving Average (SMA)
Wilder's Moving Average (RMA)
Triangular Moving Average (TMA)
These are ranked by the degree of reactivity of each method, with higher ones being more reactive (but less smooth).
Users can also select the smoothing method used by the signal line.
🔶 DETAILS
The RSI returns a normalized exponential average of price changes in the range (0, 100), which can be simply calculated as follows:
ema(d) / ema(|d|) × 50 + 50
where d represent the price changes. In order to put more emphasis on trends we can put higher weight on d . We can perform this on the occurrence of new higher highs/lower lows, and by replacing d with the rolling range instead (the rolling period used to detect the higher highs/lower lows is equal to the length setting).
🔶 SETTINGS
Length: Calculation period of the indicator
Method: Smoothing method used for the calculation of the indicator.
Source: Input source of the indicator
🔹 Signal Line
Smooth: Degree of smoothness of the signal line
Method: Smoothing method used to calculation the signal line.
ATR Adaptive RSI OscillatorThe " ATR Adaptive RSI Oscillator " is a versatile technical analysis tool designed to help traders make informed decisions in dynamic market conditions. It combines the Relative Strength Index (RSI) with the Average True Range (ATR) to provide adaptive and responsive insights into price trends.
Key Features :
Adaptive RSI Periods : The indicator introduces the concept of adaptive RSI periods based on the ATR (Average True Range) of the market. When enabled, it dynamically adjusts the RSI calculation period, offering longer periods during high volatility and shorter periods during low volatility. This adaptability enhances the accuracy of RSI signals across varying market conditions.
Volume-Based Smoothing : The indicator includes a smoothing feature that computes a time-decayed weighted moving average of RSI values over the last two bars, using volume-based weights. This approach offers a time-sensitive smoothing effect, reducing noise for a clearer view of trend strength compared to the standard RSI.
Divergence Detection : Traders can enable divergence detection to identify potential reversal points in the market. The indicator highlights regular bullish and bearish divergences, providing valuable insights into market sentiment shifts.
Customizable Parameters : Traders have the flexibility to customize various parameters, including RSI length, adaptive mode, ATR length, and divergence settings, to tailor the indicator to their trading strategy.
Overbought and Oversold Levels : The indicator includes overbought (OB) and oversold (OS) boundary lines that can be adjusted to suit individual preferences. These levels help traders identify potential reversal zones.
The "ATR Adaptive RSI Oscillator" is a powerful tool for traders seeking to adapt their trading strategies to changing market dynamics. Whether you're a trend follower or a contrarian trader, this indicator provides valuable insights to support your decision-making process.
CCI RSI Trading SignalThe "CCI RSI Trading Signal" indicator combines the Commodity Channel Index (CCI) and Relative Strength Index (RSI) to provide buy and sell signals for trading. The CCI identifies potential trend reversals, while the RSI helps confirm overbought and oversold conditions.
How It Works:
The indicator generates a buy signal when the CCI crosses above -100 (indicating a potential bullish reversal) and the RSI is below the specified oversold level. On the other hand, a sell signal is produced when the CCI crosses below 100 (indicating a potential bearish reversal) and the RSI is above the specified overbought level.
Customization:
Traders can adjust the RSI and CCI periods, RSI oversold and overbought levels, as well as take profit, stop loss, and lot size settings to suit their trading preferences.
Usage:
The "CCI RSI Trading Signal" indicator can be used on various timeframes and markets to aid in decision-making, providing potential entry and exit points based on the combined analysis of CCI and RSI.
RSI + Divergences + Alerts [MisterMoTA]The indicator RSI + Divergences + Alerts by MisterMoTA is an RSI indicator that fills the RSI and RSI moving average with 4 different colors (growing up, falling up, falling down and rising down colors), users can customize colors from dashboard , also can be disabled the fill if the user want a standard RSI.
The dafault value of RSI is 14 and value of the moving average is 50 ( a dynamic 50 rsi line is better for trend identification than a standard 50 line) and users can change the values from indicator settings.
For detecting the divergences displayed in the indicator, I integrated in our script the default Divergences indicator from Tradingview, users can display, hide and change colors for regular and hidden divergences.
RSI indicator display also trend conditions for RSI and RSI MA, the RSI MA angle is calculated using ATR value, the slope of the RSI Noving Average can help to identify trend conditions too.
The script comes with 12 different alerts, if need different alerts please let me know in the comments and will update the script with your request:
Alert for Regular Bullish Divergence
Alert for Regular Bearish Divergence
Alert for Hidden Bullish Divergence
Alert for Hidden Bearish Divergence
Alert for RSI Overbought
Alert for RSI Extreme Overbought
"Alert for RSI Oversold
Alert for RSI Extreme Oversold
Alert for RSI Crossing Above RSI MA
Alert for RSI Crossing Bellow RSI MA
Alert for RSI Crossing Above 50
Alert for RSI Crossing Bellow 50
Please follow me for other script like this one.
Kind regards,
MisterMoTA
Pro RSI CalculatorThe "Pro RSI Calculator" indicator is the latest addition to a series of custom trading tools that includes the "Pro Supertrend Calculator" and the "Pro Momentum Calculator."
Building upon this series, the "Pro RSI Calculator" is designed to provide traders with further insights into market trends by leveraging the Relative Strength Index (RSI) indicator.
Its primary objective remains consistent: to analyze historical price data and make informed predictions about future price movements, with a specific focus on identifying potential bullish (green) or bearish (red) candlestick patterns.
1. RSI Calculation:
The indicator begins by computing the RSI, a widely used momentum oscillator. It calculates two crucial RSI parameters:
RSI Length: This parameter determines the lookback period for RSI calculations.
RSI Upper and Lower Bands: These thresholds define overbought and oversold conditions, typically set at 70 and 30, respectively.
2. RSI Bands Visualization:
The RSI values obtained from the calculation are skillfully plotted on the price chart, appearing as two distinct lines:
Red Line: Represents the RSI when indicating a bearish trend, anticipating potential price declines.
Teal Line: Represents the RSI in bullish market conditions, signaling the possibility of price increases.
3. Consecutive Candlestick Analysis:
The indicator's core functionality revolves around tracking consecutive candlestick patterns based on their relationship with the RSI lines.
To be included in the analysis, a candlestick must consistently close either above (green candles) or below (red candles) the RSI lines for multiple consecutive periods.
4. Labeling and Enumeration:
To communicate the count of consecutive candles displaying consistent trend behavior, the indicator meticulously assigns labels to the price chart.
Label positioning varies depending on the trend's direction, appearing either below (for bullish patterns) or above (for bearish patterns) the candlesticks.
The color scheme aligns with the candle colors: green labels for bullish candles and red labels for bearish ones.
5. Tabular Data Presentation:
The indicator enhances its graphical analysis with a customizable table that prominently displays comprehensive statistical insights.
Key data points in the table include:
- Consecutive Candles: The count of consecutive candles displaying consistent trend characteristics.
- Candles Above Upper RSI: The number of candles closing above the upper RSI threshold during the consecutive period.
- Candles Below Lower RSI: The number of candles closing below the lower RSI threshold during the consecutive period.
- Upcoming Green Candle: An estimated probability of the next candlestick being bullish, derived from historical data.
- Upcoming Red Candle: An estimated probability of the next candlestick being bearish, also based on historical data.
6. Custom Configuration:
To cater to various trading strategies and preferences, the indicator offers extensive customization options.
Traders can fine-tune parameters like RSI length, upper, and lower bands, label and table placement, and table size to align with their unique trading approaches.
TDI - with power zonesTDI with power zones for divergences. Should divergences happen in the right zone you short or long the price for an easy win
RSI with Close & Tail DivergencesRSI divergence is a cornerstone signal for both stock and cryptocurrency traders, renowned for its reliability.
The basis for measuring divergence can vary:
Historically, it's been determined by the candlestick's closing price.
However, a contemporary approach uses the tail values, specifically the high and low prices, of the candlestick.
Depending on the criteria selected, the resultant signals can be markedly different.
Our innovative indicator offers:
Divergence tracking based on the closing price of the candlestick.
Divergence tracking considering the candlestick's peak and trough values.
A unique convergence of both types of divergence signals.
With this tool, traders are empowered to make informed decisions, anchored in precise divergence cues.
This indicator boasts the following capabilities:
Displays divergence based on closing price, highs/lows, as well as a unique combined criterion.
Highlights pivot points.
Denotes divergence spots on the RSI chart with lines.
Offers a background color representation instead of labels.
