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RSI +This enhanced RSI script, titled "RSI +", is designed to provide traders with more detailed and nuanced information about market conditions. // INPUTS The length input allows you to specify the number of periods used in the RSI calculation, with a default value of 14. The Source input designates the price used for the calculations, typically the closing price. // CALCULATIONS + PLOTTING The RSI itself is then calculated as 50 plus 50 times the ratio of two RMAs (Running Moving Averages) - one of the gain_loss, and another of the absolute value of gain_loss. Both RMAs use the specified length. This script also plots several horizontal lines (bands) at fixed levels: 70, 60, 50, 40, and 30. These bands help to visually delineate areas of potential overbought (above 70) and oversold (below 30) conditions, as well as median levels. The color of the plotted RSI line changes depending on its relation to these bands and its own simple moving average (Moving_Average), providing an additional visual cue. ---------------------- What sets this script apart from a standard RSI is its unique calculation method. Unlike the traditional RSI, which simply compares the magnitude of recent gains to recent losses, this script incorporates a normalization factor (norm), calculated as the average of the current and previous period's source prices. The gain or loss (gain_loss) is then determined by dividing the change in the source price by this normalization factor. This method can potentially reduce noise and improve accuracy. Always remember, though, that no indicator should be used in isolation. The best results are often achieved when they're used as part of a comprehensive trading strategy that considers multiple aspects of market analysis. This script, with its unique enhancements, could be used with other technical indicators like Moving Averages to ascertain the direction of the prevailing trend, while volume-based indicators like Volume-Weighted Average Price (VWAP) could provide insights into the strength behind price movements.
Indicatore Pine Script®
di smalltilt
RSI Full Forecast [Titans_Invest]RSI Full Forecast Get ready to experience the ultimate evolution of RSI-based indicators – the RSI Full Forecast, a boosted and even smarter version of the already powerful: RSI Forecast Now featuring over 40 additional entry conditions (forecasts), this indicator redefines the way you view the market. AI-Powered RSI Forecasting: Using advanced linear regression with the least squares method – a solid foundation for machine learning - the RSI Full Forecast enables you to predict future RSI behavior with impressive accuracy. But that’s not all: this new version also lets you monitor future crossovers between the RSI and the MA RSI, delivering early and strategic signals that go far beyond traditional analysis. You’ll be able to monitor future crossovers up to 20 bars ahead, giving you an even broader and more precise view of market movements. See the Future, Now: • Track upcoming RSI & RSI MA crossovers in advance. • Identify potential reversal zones before price reacts. • Uncover statistical behavior patterns that would normally go unnoticed. 40+ Intelligent Conditions: The new layer of conditions is designed to detect multiple high-probability scenarios based on historical patterns and predictive modeling. Each additional forecast is a window into the price's future, powered by robust mathematics and advanced algorithmic logic. Full Customization: All parameters can be tailored to fit your strategy – from smoothing periods to prediction sensitivity. You have complete control to turn raw data into smart decisions. Innovative, Accurate, Unique: This isn’t just an upgrade. It’s a quantum leap in technical analysis. RSI Full Forecast is the first of its kind: an indicator that blends statistical analysis, machine learning, and visual design to create a true real-time predictive system. ⯁ SCIENTIFIC BASIS LINEAR REGRESSION Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥. The general formula for a simple linear regression is given by: y = β₀ + β₁x + ε β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: y   = is the predicted variable (e.g. future value of RSI) x ​​  = is the explanatory variable (e.g. time or bar index) β0 = is the intercept (value of 𝑦 when 𝑥 = 0) 𝛽1 = is the slope of the line (rate of change) ε   = is the random error term The goal is to estimate the coefficients 𝛽0 and 𝛽1 ​​so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares. ⯁ LEAST SQUARES ESTIMATION To minimize the error between predicted and observed values, we use the following formulas: β₁ = / β₀ = ȳ - β₁x̄ Where: ∑ = sum x̄ = mean of x ȳ = mean of y x_i, y_i = individual values ​​of the variables. Where: x_i and y_i are the means of the independent and dependent variables, respectively. i ranges from 1 to n, the number of observations. These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity. ⯁ LINEAR REGRESSION IN MACHINE LEARNING Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies. By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis. ⯁ VISUAL INTERPRETATION Imagine an RSI time series like this: Time → RSI    → The regression line will smooth these values ​​and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals. ⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED Linear Regression Models the relationship between variables using a straight line. Least Squares Minimizes the sum of squared errors between prediction and reality. Time Series Forecasting Estimates future values ​​based on historical data. Supervised Learning Trains models to predict outputs from known inputs. Statistical Smoothing Reduces noise and reveals underlying trends. ⯁ WHY THIS INDICATOR IS REVOLUTIONARY Scientifically-based: Based on statistical theory and mathematical inference. Unprecedented: First public RSI with least squares predictive modeling. Intelligent: Built with machine learning logic. Practical: Generates forward-thinking signals. Customizable: Flexible for any trading strategy. ⯁ CONCLUSION By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it. RSI Full Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology. ⯁ Example of simple linear regression, which has one independent variable: ⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ). ⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values ​​using Matlab: ⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables. ⯁ The result of fitting a set of data points with a quadratic function: _________________________________________________ 🔮 Linear Regression: PineScript Technical Parameters 🔮 _________________________________________________ Forecast Types: • Flat: Assumes prices will remain the same. • Linreg: Makes a 'Linear Regression' forecast for n periods. Technical Information: ta.linreg (built-in function) Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values ​​calculated using the least squares method on the source series. Syntax: • Function: ta.linreg() Parameters: • source: Source price series. • length: Number of bars (period). • offset: Offset. • return: Linear regression curve. This function has been cleverly applied to the RSI, making it capable of projecting future values ​​based on past statistical trends. ______________________________________________________ ______________________________________________________ ⯁ WHAT IS THE RSI❓ The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend. ⯁ HOW TO USE THE RSI❓ The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:   •  Overbought: When the RSI is above 70, indicating that the asset may be overbought.   •  Oversold: When the RSI is below 30, indicating that the asset may be oversold.   •  Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions. ______________________________________________________ ______________________________________________________ ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📈 RSI Conditions: 🔹 RSI > Upper 🔹 RSI < Upper 🔹 RSI > Lower 🔹 RSI < Lower 🔹 RSI > Middle 🔹 RSI < Middle 🔹 RSI > MA 🔹 RSI < MA 📈 MA Conditions: 🔹 MA > Upper 🔹 MA < Upper 🔹 MA > Lower 🔹 MA < Lower 📈 Crossovers: 🔹 RSI (Crossover) Upper 🔹 RSI (Crossunder) Upper 🔹 RSI (Crossover) Lower 🔹 RSI (Crossunder) Lower 🔹 RSI (Crossover) Middle 🔹 RSI (Crossunder) Middle 🔹 RSI (Crossover) MA 🔹 RSI (Crossunder) MA 🔹 MA (Crossover) Upper 🔹 MA (Crossunder) Upper 🔹 MA (Crossover) Lower 🔹 MA (Crossunder) Lower 📈 RSI Divergences: 🔹 RSI Divergence Bull 🔹 RSI Divergence Bear 📈 RSI Forecast: 🔹 RSI (Crossover) MA Forecast 🔹 RSI (Crossunder) MA Forecast 🔹 RSI Forecast 1 > MA Forecast 1 🔹 RSI Forecast 1 < MA Forecast 1 🔹 RSI Forecast 2 > MA Forecast 2 🔹 RSI Forecast 2 < MA Forecast 2 🔹 RSI Forecast 3 > MA Forecast 3 🔹 RSI Forecast 3 < MA Forecast 3 🔹 RSI Forecast 4 > MA Forecast 4 🔹 RSI Forecast 4 < MA Forecast 4 🔹 RSI Forecast 5 > MA Forecast 5 🔹 RSI Forecast 5 < MA Forecast 5 🔹 RSI Forecast 6 > MA Forecast 6 🔹 RSI Forecast 6 < MA Forecast 6 🔹 RSI Forecast 7 > MA Forecast 7 🔹 RSI Forecast 7 < MA Forecast 7 🔹 RSI Forecast 8 > MA Forecast 8 🔹 RSI Forecast 8 < MA Forecast 8 🔹 RSI Forecast 9 > MA Forecast 9 🔹 RSI Forecast 9 < MA Forecast 9 🔹 RSI Forecast 10 > MA Forecast 10 🔹 RSI Forecast 10 < MA Forecast 10 🔹 RSI Forecast 11 > MA Forecast 11 🔹 RSI Forecast 11 < MA Forecast 11 🔹 RSI Forecast 12 > MA Forecast 12 🔹 RSI Forecast 12 < MA Forecast 12 🔹 RSI Forecast 13 > MA Forecast 13 🔹 RSI Forecast 13 < MA Forecast 13 🔹 RSI Forecast 14 > MA Forecast 14 🔹 RSI Forecast 14 < MA Forecast 14 🔹 RSI Forecast 15 > MA Forecast 15 🔹 RSI Forecast 15 < MA Forecast 15 🔹 RSI Forecast 16 > MA Forecast 16 🔹 RSI Forecast 16 < MA Forecast 16 🔹 RSI Forecast 17 > MA Forecast 17 🔹 RSI Forecast 17 < MA Forecast 17 🔹 RSI Forecast 18 > MA Forecast 18 🔹 RSI Forecast 18 < MA Forecast 18 🔹 RSI Forecast 19 > MA Forecast 19 🔹 RSI Forecast 19 < MA Forecast 19 🔹 RSI Forecast 20 > MA Forecast 20 🔹 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📉 RSI Conditions: 🔸 RSI > Upper 🔸 RSI < Upper 🔸 RSI > Lower 🔸 RSI < Lower 🔸 RSI > Middle 🔸 RSI < Middle 🔸 RSI > MA 🔸 RSI < MA 📉 MA Conditions: 🔸 MA > Upper 🔸 MA < Upper 🔸 MA > Lower 🔸 MA < Lower 📉 Crossovers: 🔸 RSI (Crossover) Upper 🔸 RSI (Crossunder) Upper 🔸 RSI (Crossover) Lower 🔸 RSI (Crossunder) Lower 🔸 RSI (Crossover) Middle 🔸 RSI (Crossunder) Middle 🔸 RSI (Crossover) MA 🔸 RSI (Crossunder) MA 🔸 MA (Crossover) Upper 🔸 MA (Crossunder) Upper 🔸 MA (Crossover) Lower 🔸 MA (Crossunder) Lower 📉 RSI Divergences: 🔸 RSI Divergence Bull 🔸 RSI Divergence Bear 📉 RSI Forecast: 🔸 RSI (Crossover) MA Forecast 🔸 RSI (Crossunder) MA Forecast 🔸 RSI Forecast 1 > MA Forecast 1 🔸 RSI Forecast 1 < MA Forecast 1 🔸 RSI Forecast 2 > MA Forecast 2 🔸 RSI Forecast 2 < MA Forecast 2 🔸 RSI Forecast 3 > MA Forecast 3 🔸 RSI Forecast 3 < MA Forecast 3 🔸 RSI Forecast 4 > MA Forecast 4 🔸 RSI Forecast 4 < MA Forecast 4 🔸 RSI Forecast 5 > MA Forecast 5 🔸 RSI Forecast 5 < MA Forecast 5 🔸 RSI Forecast 6 > MA Forecast 6 🔸 RSI Forecast 6 < MA Forecast 6 🔸 RSI Forecast 7 > MA Forecast 7 🔸 RSI Forecast 7 < MA Forecast 7 🔸 RSI Forecast 8 > MA Forecast 8 🔸 RSI Forecast 8 < MA Forecast 8 🔸 RSI Forecast 9 > MA Forecast 9 🔸 RSI Forecast 9 < MA Forecast 9 🔸 RSI Forecast 10 > MA Forecast 10 🔸 RSI Forecast 10 < MA Forecast 10 🔸 RSI Forecast 11 > MA Forecast 11 🔸 RSI Forecast 11 < MA Forecast 11 🔸 RSI Forecast 12 > MA Forecast 12 🔸 RSI Forecast 12 < MA Forecast 12 🔸 RSI Forecast 13 > MA Forecast 13 🔸 RSI Forecast 13 < MA Forecast 13 🔸 RSI Forecast 14 > MA Forecast 14 🔸 RSI Forecast 14 < MA Forecast 14 🔸 RSI Forecast 15 > MA Forecast 15 🔸 RSI Forecast 15 < MA Forecast 15 🔸 RSI Forecast 16 > MA Forecast 16 🔸 RSI Forecast 16 < MA Forecast 16 🔸 RSI Forecast 17 > MA Forecast 17 🔸 RSI Forecast 17 < MA Forecast 17 🔸 RSI Forecast 18 > MA Forecast 18 🔸 RSI Forecast 18 < MA Forecast 18 🔸 RSI Forecast 19 > MA Forecast 19 🔸 RSI Forecast 19 < MA Forecast 19 🔸 RSI Forecast 20 > MA Forecast 20 🔸 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : RSI Full Forecast 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Indicatore Pine Script®
di Titans_Invest
RSI Forecast [Titans_Invest]RSI Forecast Introducing one of the most impressive RSI indicators ever created – arguably the best on TradingView, and potentially the best in the world. RSI Forecast is a visionary evolution of the classic RSI, merging powerful customization with groundbreaking predictive capabilities. While preserving the core principles of traditional RSI, it takes analysis to the next level by allowing users to anticipate potential future RSI movements. Real-Time RSI Forecasting: For the first time ever, an RSI indicator integrates linear regression using the least squares method to accurately forecast the future behavior of the RSI. This innovation empowers traders to stay one step ahead of the market with forward-looking insight. Highly Customizable: Easily adapt the indicator to your personal trading style. Fine-tune a variety of parameters to generate signals perfectly aligned with your strategy. Innovative, Unique, and Powerful: This is the world’s first RSI Forecast to apply this predictive approach using least squares linear regression. A truly elite-level tool designed for traders who want a real edge in the market. ⯁ SCIENTIFIC BASIS LINEAR REGRESSION Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥. The general formula for a simple linear regression is given by: y = β₀ + β₁x + ε Where: y   = is the predicted variable (e.g. future value of RSI) x ​​  = is the explanatory variable (e.g. time or bar index) β0 = is the intercept (value of 𝑦 when 𝑥 = 0) 𝛽1 = is the slope of the line (rate of change) ε   = is the random error term The goal is to estimate the coefficients 𝛽0 and 𝛽1 ​​so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares. ⯁ LEAST SQUARES ESTIMATION To minimize the error between predicted and observed values, we use the following formulas: β₁ = / β₀ = ȳ - β₁x̄ Where: ∑ = sum x̄ = mean of x ȳ = mean of y x_i, y_i = individual values ​​of the variables. Where: x_i and y_i are the means of the independent and dependent variables, respectively. i ranges from 1 to n, the number of observations. These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity. ⯁ LINEAR REGRESSION IN MACHINE LEARNING Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies. By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis. ⯁ VISUAL INTERPRETATION Imagine an RSI time series like this: Time → RSI    → The regression line will smooth these values ​​and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals. ⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED Linear Regression Models the relationship between variables using a straight line. Least Squares Minimizes the sum of squared errors between prediction and reality. Time Series Forecasting Estimates future values ​​based on historical data. Supervised Learning Trains models to predict outputs from known inputs. Statistical Smoothing Reduces noise and reveals underlying trends. ⯁ WHY THIS INDICATOR IS REVOLUTIONARY Scientifically-based: Based on statistical theory and mathematical inference. Unprecedented: First public RSI with least squares predictive modeling. Intelligent: Built with machine learning logic. Practical: Generates forward-thinking signals. Customizable: Flexible for any trading strategy. ⯁ CONCLUSION By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it. RSI Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology. ⯁ Example of simple linear regression, which has one independent variable: ⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ). ⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values ​​using Matlab: ⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables. ⯁ The result of fitting a set of data points with a quadratic function: _______________________________________________________________________ 🥇 This is the world’s first RSI indicator with: Linear Regression for Forecasting 🥇_______________________________________________________________________ _________________________________________________ 🔮 Linear Regression: PineScript Technical Parameters 🔮 _________________________________________________ Forecast Types: • Flat: Assumes prices will remain the same. • Linreg: Makes a 'Linear Regression' forecast for n periods. Technical Information: ta.linreg (built-in function) Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values ​​calculated using the least squares method on the source series. Syntax: • Function: ta.linreg() Parameters: • source: Source price series. • length: Number of bars (period). • offset: Offset. • return: Linear regression curve. This function has been cleverly applied to the RSI, making it capable of projecting future values ​​based on past statistical trends. ______________________________________________________ ______________________________________________________ ⯁ WHAT IS THE RSI❓ The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend. ⯁ HOW TO USE THE RSI❓ The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:   •  Overbought: When the RSI is above 70, indicating that the asset may be overbought.   •  Oversold: When the RSI is below 30, indicating that the asset may be oversold.   •  Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions. ______________________________________________________ ______________________________________________________ ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📈 RSI Conditions: 🔹 RSI > Upper 🔹 RSI < Upper 🔹 RSI > Lower 🔹 RSI < Lower 🔹 RSI > Middle 🔹 RSI < Middle 🔹 RSI > MA 🔹 RSI < MA 📈 MA Conditions: 🔹 MA > Upper 🔹 MA < Upper 🔹 MA > Lower 🔹 MA < Lower 📈 Crossovers: 🔹 RSI (Crossover) Upper 🔹 RSI (Crossunder) Upper 🔹 RSI (Crossover) Lower 🔹 RSI (Crossunder) Lower 🔹 RSI (Crossover) Middle 🔹 RSI (Crossunder) Middle 🔹 RSI (Crossover) MA 🔹 RSI (Crossunder) MA 🔹 MA (Crossover) Upper 🔹 MA (Crossunder) Upper 🔹 MA (Crossover) Lower 🔹 MA (Crossunder) Lower 📈 RSI Divergences: 🔹 RSI Divergence Bull 🔹 RSI Divergence Bear 📈 RSI Forecast: 🔮 RSI (Crossover) MA Forecast 🔮 RSI (Crossunder) MA Forecast ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📉 RSI Conditions: 🔸 RSI > Upper 🔸 RSI < Upper 🔸 RSI > Lower 🔸 RSI < Lower 🔸 RSI > Middle 🔸 RSI < Middle 🔸 RSI > MA 🔸 RSI < MA 📉 MA Conditions: 🔸 MA > Upper 🔸 MA < Upper 🔸 MA > Lower 🔸 MA < Lower 📉 Crossovers: 🔸 RSI (Crossover) Upper 🔸 RSI (Crossunder) Upper 🔸 RSI (Crossover) Lower 🔸 RSI (Crossunder) Lower 🔸 RSI (Crossover) Middle 🔸 RSI (Crossunder) Middle 🔸 RSI (Crossover) MA 🔸 RSI (Crossunder) MA 🔸 MA (Crossover) Upper 🔸 MA (Crossunder) Upper 🔸 MA (Crossover) Lower 🔸 MA (Crossunder) Lower 📉 RSI Divergences: 🔸 RSI Divergence Bull 🔸 RSI Divergence Bear 📉 RSI Forecast: 🔮 RSI (Crossover) MA Forecast 🔮 RSI (Crossunder) MA Forecast ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : RSI Forecast 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Indicatore Pine Script®
di Titans_Invest
3
RSI 11 IndicatorThis script explains how RSI can be used to catch market moves in trend, reversal or sideways market. What is RSI indicator:- RSI is a momentum oscillator which measures the speed and change of price movements. RSI moves up and down (oscillates) between ZERO and 100. Generally RSI above 70 is considered overbought and below 30 is considered oversold. Some traders may use a setting of 20 and 80 for oversold and overbought conditions respectively. However this may reduce the number of signals. You can also use RSI to identify divergences, strength, reversals, general trend etc. Calculation:- There are three basic components in the RSI - Avg Gain, Avg Loss & RS. Avg Gain = Average of Upward Price Change Avg Loss = Average of Downward Price Change RS = (Avg Gain)/(Avg Loss) RSI = 100 – (100 / (1 +RS )) First Calculation:- RSI calculation is based on default 14 periods. Average gain and Average loss are simple 14 period averages. Average Loss equals the sum of the losses divided by 14 for the first calculation. Average Gain equals the sum of the Gains divided by 14 for the first calculation. First Average Gain = Sum of Gains over the past 14 periods / 14. First Average Loss = Sum of Losses over the past 14 periods / 14. The formula uses a positive value for the average loss. RS values are smoothed after the first calculation. Second Calculation:- Subsequent calculations multiply the prior value by 13, add the most recent value, and divide the total by 14. Average Gain = / 14. Average Loss = / 14. if Average Loss = 0, RSI = 100 (means there were no losses to measure). Average Gain = 0, RSI = 0 (means there were no gains to measure). Logic of this indicator:- RSI is an oscillator that fluctuates between zero and 100 which makes it easy to use for many traders. Its easy to identify extremes because RSI is range-bound. But remember that RSI works best in range bound market and is less trustworthy in trending markets. A new trader need to be cautious because during strong trends in the market/security, RSI may remain in overbought or oversold for extended periods. Chart Timeframe:- RSI indicator works well on all timeframes. Timeframe depends on which strategy or settings are you using. Generally a lower timeframe like 1 min, 3 min, 5 min, 15 min, 30 min, 1 Hr etc is used for intraday trades or short duration trades and higher timeframes like 1 day, 1 week, 1 month are used for positional or long term trades. Please Read the Idea "Mastering RSI with 11 Strategies" to understand this indicator better. Indicator 1 Basis Strategy of Overbought and Oversold Usually an asset with RSI reading of 70 or above indicates a bullish and an overbought situation. overbought can be seen as trading at a higher price than it should. traders may expect a price correction or trend reversal and sell the security. but RSI indicator can stay in the overbought for a long time when the stock is in uptrend - This may trap an immature trader. an Immature trader will enter a sell position when RSI become overbought (70), whereas a mature trader will enter sell position when RSI line crosses below the overbought line (70). An asset with RSI reading of 30 or below indicates a bearish and an oversold condition. oversold can be seen as trading at a lower price than it should. traders may expect a price correction or trend reversal and buy the security. but RSI indicator can stay in the oversold for a long time when the stock is in downtrend - This may trap an immature trader. an Immature trader will enter a buy position when RSI become oversold (30), whereas a mature trader will enter buy position when RSI line crosses above the oversold line (30). Center dotted Mid line is RSI 50. Chart RSI is shown in yellow colour. Red shaded area above the red horizontal line shows the stock or security has entered overbought condition. "R" signal in red shows a likely downside reversal, means it may be a likely Selling opportunity. Green shaded area below the green horizontal line shows the stock or security has entered oversold condition. "R" signal in green shows a likely upside reversal, means it may be a likely Buying opportunity. Note:- so its better to wait for reversal signal. traders may use 20 instead of 30 as oversold level and 80 instead of 70 as overbought level. new traders may learn to use the indicator as per the prevailing trend to get better results. false signals may be avoided by using bullish signals in bullish trend and bearish signals in bearish trend. Indicator 2 RSI Strength Crossing 50 RSI crossing centreline 50 in the below chart showing strength and buy/sell signal. Centre line is at RSI 50. if RSI is above 50 its considered bullish trend. (increasing strength) if RSI is below 50 its considered bearish trend. (decreasing strength) RSI crossing centre line (50) upside may be a buy signal. RSI crossing centre line (50) downside may be a sell signal. "B" signal in green colour shows that RSI is crossing above Mid 50 horizontal line, which may be a likely Buy signal. "S" signal in red colour shows that RSI is crossing below Mid 50 horizontal line, which may be a likely Sell signal. Indicator 3 RSI 40 and RSI 60 Support and Resistance RSI 40 acting as support in the below chart In an uptrend RSI tends to remain in the 40 to 90 range with 40 as support (buying opportunity at support). RSI 60 acting as resistance in the below chart In a downtrend RSI tends to remain in 10 to 60 range with 60 as resistance (selling opportunity at resistance). "40" signal in green colour shows that RSI is crossing above 40 horizontal line, which may be a likely Support in making and a Buy signal. "60" signal in red colour shows that RSI is crossing below 60 horizontal line, which may be a likely Resistance in making and a Sell signal. Note:- These ranges may change depending on RSI settings and change in the market trend. Indicator 4 RSI Divergence Below chart shows a simple example of Bullish Divergence and Bearish Divergence. An RSI divergence occurs when price moves in the opposite direction of the RSI. A bullish divergence is when price is falling but RSI is rising. which means RSI making higher lows and price making lower lows (buy signal). A bearish divergence is when price is rising but RSI is falling. which means RSI making lower high and price making higher highs (sell signal). Divergences are more strong when appear in an overbought or oversold condition. There may be many false signals during a strong uptrend or strong downtrend. In a strong uptrend, RSI may show many false bearish divergences before finally reversing down. same way in a strong downtrend, RSI may show many false bullish divergences before finally reversing up. "Bull Div" signal along with divergence line in green colour shows Bullish Divergence, which may be a likely Buy signal. "Bear Div" signal along with divergence line in red colour shows Bearish Divergence, which may be a likely Sell signal. Indicator 5 Double Top & Double Bottom Double Bottom = RSI goes below oversold (30). RSI comes back above 30. RSI falls back again towards 30 and again rise making a Double bottom. its a signal of buying and likely upside reversal. Double Top = RSI goes above overbought (70). RSI comes back below 70. RSI rises back again towards 70 and again fall making a Double top. its a signal of selling and likely downside reversal. Double Bottom is shown with Green Dashed line joining two low's of RSI indicating a likely Buy Signal. Double Top is shown with Red Dashed line joining two High's of RSI indicating a likely Sell Signal. Indicator 6 Trendline Support and Resistance Below chart shows RSI Trendline Resistance and Support RSI resistance trendline = Connect three or more points on the RSI line as it falls to draw a RSI downtrend line (RSI resistance trendline). Everytime it takes resistance from a RSI downtrend line its a selling opportunity. RSI support trendline = Connect three or more points on the RSI line as it rises to draw a RSI uptrend line (RSI support trendline). Everytime it takes support on a RSI uptrend line its a buying opportunity. RSI Resistance trendline shown in Red colour indicating a likely fall again after rejection from this Red trendline till the time RSI breaks above it to change the trend from Bearsih to Bullish. RSI support trendline shown in Green colour indicating a likely Rise again after support from this Green trendline till the time RSI breaks below it to change the trend from Bullish to Bearish. Indicator 7 Trendline Breakout and Breakdown Below chart shows RSI Trendline Breakout and Breakdown RSI resistance trendline Breakout = Connect three or more points on the RSI line as it falls to draw a RSI downtrend line (RSI resistance trendline). Whenever it breakout above RSI resistance trendline its a buying opportunity. RSI support trendline Breakdown = Connect three or more points on the RSI line as it rises to draw a RSI uptrend line (RSI support trendline). Whenever it breakdown below RSI support trendline its a selling opportunity. Note:- Correlate both the RSI and the closing price to ensure proper breakout or breakdown. Challenge is to correctly identify if a breakout or breakdown is sustainable or its a false signal. Indicator 8 RSI Crossover same timeframe RSI with two different RSI length crossing each other on same timeframe. when lower RSI length crossing above higher RSI length its a buy signal. when lower RSI length crossing below higher RSI length its a sell signal. for example RSI with length 7 & length 14 on 15 Minutes timeframe. Green Cross shows that Fast RSI is crossing above Slow RSI on the same timeframe with different RSI length Settings, which means it may be a likely Buy Signal. Red Cross shows that Fast RSI is crossing below Slow RSI on the same timeframe with different RSI length Settings, which means it may be a likely Sell Signal. Indicator 9 RSI Crossover Multi timeframe RSI with same RSI length but on two different timeframes crossing each. when lower timeframe RSI crossing above higher timeframe RSI its a buy signal. when lower timeframe RSI crossing below higher timeframe RSI its a sell signal. for example RSI with length 14 on 5 Minutes and 1 Hr timeframes. Green Cross shows that Lower Timeframe RSI is crossing above Higher Timeframe RSI with same RSI length Settings, which means it may be a likely Buy Signal. Red Cross shows that Lower Timeframe RSI is crossing below Higher Timeframe RSI with same RSI length Settings, which means it may be a likely Sell Signal. Indicator 10 RSI EMA/WMA/SMA Crossover when RSI crossing above EMA/WMA/SMA its a buy signal. when RSI crossing below EMA/WMA/SMA its a sell signal. Green Circle shows that RSI is crossing above EMA/WMA/SMA etc, which means it may be a likely Buy Signal. Red Circle shows that RSI is crossing below EMA/WMA/SMA etc, which means it may be a likely Sell Signal. Indicator 11 RSI with Bollinger bands Bollinger bands and RSI complimenting each other and giving a Buy and Sell signal in below chart if a security price reaches upper band of a Bollinger Band channel and also the RSI is above 70 (overbought), a trader can look for selling opportunities (reversal) (sell). but in case price reaches upper band of a Bollinger Band channel but RSI is not above 70 (overbought), there may be chance that security remains in an uptrend, so a trader may wait before entering a sell position. if a security price reaches lower band of a Bollinger Band channel and also the RSI is below 30 (oversold), a trader can look for buying opportunities (reversal) (buy). but in case price reaches lower band of a Bollinger Band channel but RSI is not below 30 (oversold), there may be chance that security remains in an downtrend, so a trader may wait before entering a buy position. so bollinger band with RSI can give a double confirmation on a reversal. Buy Signal = If the RSI is below Green Horizontal line (Oversold zone) and also below Lower Bollinger Band it indicates that an upside reversal may come, which means that it may be a likely Buy Signal. Sell Signal = If the RSI is above Red Horizontal line (Overbought zone) and also above Upper Bollinger Band it indicates that an Downside reversal may come, which means that it may be a likely Sell Signal. Special Thanks to //© HoanGhetti for RSI Trendlines. Limitations of the RSI:- RSI works best in range bound market and is less trustworthy in trending markets. So new traders may get trapped in an uptrend or a downtrend if they forget to see the overall long term trend of that security. Traders should set stop loss and take profit levels as per risk reward ratio. Note: Don't confuse RSI and relative strength. RSI is changes in the price momentum of a security. whereas relative strength compares the price performance of two or more securities. Like other technical indicators, RSI also is not a holy grail. It can only assist you in building a good strategy. You can only succeed with proper position sizing, risk management and following correct trading Psychology (No overtrade, No greed, No revenge trade etc). THIS INDICATOR OF RSI IS FOR EDUCATIONAL PURPOSE AND PAPER TRADING ONLY. YOU MAY PAPER TRADE TO GAIN CONFIDENCE AND BUILD FURTHER ON THESE. PLEASE CONSULT YOUR FINANCIAL ADVISOR BEFORE INVESTING. WE ARE NOT SEBI REGISTERED. Hope you all like it happy learning.
Indicatore Pine Script®
di MasterTrader1949X
4
RSI-all in one_Pro[vn]👉Hello traders. Introducing the " RSI all-in-one " Bot that includes the functions: + Automatically scan RSI divergence + Automatically scan RSI trendlines + Create an alert when there is a golden signal (RSI creates a divergence and then breaks its trendline, signaling a trend reversal) Explain: During trading when using the indicator "RSI - trendlines - div " in my library on TW web page: - I have an idea to create a Bot indicator about "Automatically scan RSI divergences and trendlines". Because those are the top strengths when traders use the RSI to forecast trend reversals. - On each chart of the trading pair, the RSI draws the trendline pair as: uptrendline and downtrendline (closest to the RSI) - So when the statistics on "Bot" also shows the column of RSI trendlines up and the column of RSI trendlines down - Column |════🡹\n\ʀꜱɪ| - is the above RSI trendline - Column |ʀꜱɪ\n\════🡻| - is the below RSI trendline - When RSI approaches any one of its trendlines and the ratio is 10%, then: + in column |✎\n\𝖙.𝖑𝖎𝖓𝖊| Red colored digits (downtrend) + in column |𝖙.𝖑𝖎𝖓𝖊\n\✐| blue colored digits (uptrend) Is the value of the RSI trendline for traders to pay more attention to when it can be the entry and exit points according to the resistance and support nature of the RSI trendlines. - When the RSI breaks the above trendline, it shows is "🡹", if it is the first candle, at the column |════🡹\n\ʀꜱɪ| it shows as "🡹1|1|1" the cell turns green , that's the RSI signal breaking the line. Its resistance to go up, wait for the candle to close, we can enter "Buy/Long" order. - When the RSI line breaks below the trendline, it shows is "🡻", if it is the first candle, then at the column |ʀꜱɪ\n\════🡻| it displays as "🡻1|1|1" the cell turns red , that's the RSI signal breaking the line Support to continue down, wait for the candle to close, we can enter "Sell/Short" order - The parameter when breaking shows 10|10|10, it means that the RSI has broken 10 candles (RSI candles), and the first 10 candles are colored green (bullish) red (bearish) then hidden. (can be changed in settings). In addition, when displaying the parameters of the cell as above, the column |✎\n\𝖙.𝖑𝖎𝖓𝖊| and |𝖙.𝖑𝖎𝖓𝖊\n\✐| will show the percentage from when the RSI break point to the current RSI (closed) - Column |𝚍𝚒𝚟| is a divergence signal. When the price makes a new high, a new low, and the RSI signals a divergence, it will start to increase the base from the number 1. From here, the Trader will know which trading pair is starting to divergence RSI. Cell is Green bullish divergence, Cell is red bearish divergence - Column|🆁🆂🅸| is the current RSI .{🟢} RSI above the cloud , {🔴} RSI below the cloud , {⚪️} RSI in the cloud(RSI clouds also indicate very well the support and resistance zone of RSI) - There are 5 warning functions on this indicator - The parameter {20:2} is the length of the RSI trendline and combines the same parameters with the "RSI - trendlines - div{vn}" indicator when analyzing 💥 Summary: Trading methods with this indicator: + Trade when there is a divergence + Trade when the RSI approaches its trendline (it is the support and resistance line of the RSI) + Trade when the RSI breaks the trendline (definitively above or below) + Trade when there is a divergence then after a few candles, RSI breaks through its trendline, giving a golden signal. 1 . image Later(sau đó) 2 . image Later(sau đó) Note: The indicator can create up to 40 trading pairs, so traders should choose a super nice signal to enter orders. -----------------------------------------------------Vietnamese------------------------------------------------------- 👉Xin chào các nhà giao dịch VietNam. xin giới thiệu Bot "RSI-Tất cả trong một " bao gồm các chức năng: + Tự động quét phân kì RSI + Tự động quét đường xu hướng RSI + Tạo cảnh báo khi có tín hiệu vàng(RSI tạo phân kì và sau đó phá vỡ đường xu hướng của nó báo hiệu đảo chiều xu hướng) Diễn giải: - Trong quá trình giao dịch khi dùng chỉ báo "RSI - trendlines - div " trong thư viện của tôi trên trang TW . Tôi có ý tưởng tạo chỉ báo Bot về " Tự động quét phân kì và đường xu hướng của RSI ". Vì đó là những điểm mạnh hàng đầu khi nhà giao dịch sử dụng chỉ báo RSI để dự báo đảo chiều xu hướng. - Trên mỗi biểu đồ của cặp giao dịch, chỉ báo RSI vẽ cặp trendline là: trendline tăng và trendline giảm (gần với RSI nhất) - Vì vậy khi thống kê trên " Bot " cũng hiển thị cột của RSI trendlines tăng và cột của RSI trendlines giảm - Cột |════🡹\n\ʀꜱɪ| - là trendline RSI bên trên - Cột |ʀꜱɪ\n\════🡻|- là trendline RSI bên dưới - Khi RSI phá đường xu hướng bên trên thì nó hiển thị là "🡹", nếu là cây nến đầu tiên thì tại cột |════🡹\n\ʀꜱɪ| nó hiển thị là "🡹1|1|1" ô đổi màu xanh , đó là tín hiệu RSI phá vỡ đường kháng cự của nó để đi lên , chờ nến đóng cửa ta có thể vào lệnh "Buy/Long" - Khi đường RSI phá đường xu hướng bên dưới thì nó hiển thị là "🡻", nếu là cây nến đầu tiên thì tại cột |ʀꜱɪ\n\════🡻| nó hiển thị là "🡻1|1|1" ô đổi màu đỏ , đó là tín hiệu RSI phá vỡ đường hỗ trợ để xuống tiếp , chờ nến đóng cửa ta có thể vào lệnh "Sell/Short " -Khi RSI tiến gần đến 1 đường trendline bất kì của nó mà tỉ lệ còn 10% thì: + tại cột |✎\n\𝖙.𝖑𝖎𝖓𝖊| chữ số tô màu đỏ (trend giảm) + tại cột |𝖙.𝖑𝖎𝖓𝖊\n\✐| chữ số tô màu xanh (trend tăng) Là giá trị của đường trendline RSI để trader chú ý hơn khi đó có thể là điểm vào lệnh và thoát lệnh theo tính chất kháng cự hỗ trợ của RSI trendlines. -Thông số khi phá vỡ hiển thị 10|10|10 thì hiểu là RSI đã phá vỡ 10 nến(nến RSI), và 10 nến đầu tiên được tô màu xanh(tăng giá) màu đỏ (giảm giá) sau đó được ẩn(có thể thay đổi trong cài đặt). Ngoài ra khi hiện thông số của ô như trên thì cột |✎\n\𝖙.𝖑𝖎𝖓𝖊| và |𝖙.𝖑𝖎𝖓𝖊\n\✐| sẽ hiển thị được số phần trăm tính từ khi điểm RSI phá vỡ đến RSI hiện tại(đóng cửa) Cột |𝚍𝚒𝚟| là tín hiệu phân kì . Khi giá tạo đỉnh mới, đáy mới mà RSI báo tín hiệu là phân kì thì nó sẽ bắt đầu cơ số đếm từ số 1 tăng dần lên.Từ đây Trader sẽ biết được cặp giao dịch nào đang bắt đầu phân kì RSI. Ô màu xanh là phân kì tăng, ô màu đỏ là phân kì giảm - Cột| 🆁🆂🅸 | là RSI hiện tại .{🟢} RSI trên mây , {🔴} RSI dưới mây , {⚪️} RSI trong mây(Mây của RSI cũng cho biết rất tốt vùng hỗ trợ, kháng cự của RSI) - Có 5 chức năng cảnh báo trên chỉ báo này - Thông số {20:2} là độ dài đường trendline RSI và kết hợp cùng thông số với chỉ báo "RSI - trendlines - div{vn}" khi phân tích 💥 Tổng kết: Các phương pháp giao dịch với chỉ báo này: + Giao dịch khi có phân kì. + Giao dịch khi RSI tiếp cận đến đường xu hướng của nó(nó là đường hỗ trợ, kháng cự của RSI). + Giao dịch khi RSI phá vỡ đường xu hướng(trên hoặc dưới cách dứt khoát). + Giao dịch khi có phân kì sau đó qua vài nến, RSI phá vỡ qua đường xu hướng của nó báo hiệu tín hiệu vàng. Lưu ý : Chỉ báo tạo được tối đa 40 cặp giao dịch, nên AE trader Việt cứ chọn tín hiệu siêu đẹp để vào lệnh nhé.
Indicatore Pine Script®
di ichimoku14642
16
RSI of RSI Deviation (RoRD)RSI of RSI Deviation (RoRD) - Advanced Momentum Acceleration Analysis What is RSI of RSI Deviation (RoRD)? RSI of RSI Deviation (RoRD) is a insightful momentum indicator that transcends traditional oscillator analysis by measuring the acceleration of momentum through sophisticated mathematical layering. By calculating RSI on RSI itself (RSI²) and applying advanced statistical deviation analysis with T3 smoothing, RoRD reveals hidden market dynamics that single-layer indicators miss entirely. This isn't just another RSI variant—it's a complete reimagining of how we measure and visualize momentum dynamics. Where traditional RSI shows momentum, RoRD shows momentum's rate of change . Where others show static overbought/oversold levels, RoRD reveals statistically significant deviations unique to each market's character. Theoretical Foundation - The Mathematics of Momentum Acceleration 1. RSI² (RSI of RSI) - The Core Innovation Traditional RSI measures price momentum. RoRD goes deeper: Primary RSI (RSI₁) : Standard RSI calculation on price Secondary RSI (RSI²) : RSI calculated on RSI₁ values This creates a "momentum of momentum" indicator that leads price action Mathematical Expression: RSI₁ = 100 - (100 / (1 + RS₁)) RSI² = 100 - (100 / (1 + RS₂)) Where RS₂ = Average Gain of RSI₁ / Average Loss of RSI₁ 2. T3 Smoothing - Lag-Free Response The T3 Moving Average, developed by Tim Tillson, provides: Superior smoothing with minimal lag Adaptive response through volume factor (vFactor) Noise reduction while preserving signal integrity T3 Formula: T3 = c1×e6 + c2×e5 + c3×e4 + c4×e3 Where e1...e6 are cascaded EMAs and c1...c4 are volume-factor-based coefficients 3. Statistical Z-Score Deviation RoRD employs dual-layer Z-score normalization : Initial Z-Score : (RSI² - SMA) / StDev Final Z-Score : Z-score of the Z-score for refined extremity detection This identifies statistically rare events relative to recent market behavior 4. Multi-Timeframe Confluence Compares current timeframe Z-score with higher timeframe (HTF) Provides directional confirmation across time horizons Filters false signals through timeframe alignment Why RoRD is Different & More Sophisticated Beyond Traditional Indicators: Acceleration vs. Velocity : While RSI measures momentum (velocity), RoRD measures momentum's rate of change (acceleration) Adaptive Thresholds : Z-score analysis adapts to market conditions rather than using fixed 70/30 levels Statistical Significance : Signals are based on mathematical rarity, not arbitrary levels Leading Indicator : RSI² often turns before price, providing earlier signals Reduced Whipsaws : T3 smoothing eliminates noise while maintaining responsiveness Unique Signal Generation: Quantum Orbs : Multi-layered visual signals for statistically extreme events Divergence Detection : Automated identification of price/momentum divergences Regime Backgrounds : Visual market state classification (Bullish/Bearish/Neutral) Particle Effects : Dynamic visualization of momentum energy Visual Design & Interpretation Guide Color Coding System: Yellow (#e1ff00) : Neutral/balanced momentum state Red (#ff0000) : Overbought/extreme bullish acceleration Green (#2fff00) : Oversold/extreme bearish acceleration Orange : Z-score visualization Blue : HTF Z-score comparison Main Visual Elements: RSI² Line with Glow Effect Multi-layer glow creates depth and emphasis Color dynamically shifts based on momentum state Line thickness indicates signal strength Quantum Signal Orbs Green Orbs Below : Statistically rare oversold conditions Red Orbs Above : Statistically rare overbought conditions Multiple layers indicate signal strength Only appear at Z-score extremes for high-conviction signals Divergence Markers Green Circles : Bullish divergence detected Red Circles : Bearish divergence detected Plotted at pivot points for precision Background Regimes Green Background : Bullish momentum regime Grey Background : Bearish momentum regime Blue Background : Neutral/transitioning regime Particle Effects Density indicates momentum energy Color matches current RSI² state Provides dynamic market "feel" Dashboard Metrics - Deep Dive RSI² ANALYSIS Section: RSI² Value (0-100) Current smoothed RSI of RSI reading >70 : Strong bullish acceleration <30 : Strong bearish acceleration ~50 : Neutral momentum state RSI¹ Value Traditional RSI for reference Compare with RSI² for acceleration/deceleration insights Z-Score Status 🔥 EXTREME HIGH : Z > threshold, statistically rare bullish ❄️ EXTREME LOW : Z < threshold, statistically rare bearish 📈 HIGH/📉 LOW : Elevated but not extreme ➡️ NEUTRAL : Normal statistical range MOMENTUM Section: Velocity Indicator ▲▲▲ : Strong positive acceleration ▼▼▼ : Strong negative acceleration Shows rate of change in RSI² Strength Bar ██████░░░░ : Visual power gauge Filled bars indicate momentum strength Based on deviation from center line SIGNALS Section: Divergence Status 🟢 BULLISH DIV : Price making lows, RSI² making highs 🔴 BEARISH DIV : Price making highs, RSI² making lows ⚪ NO DIVERGENCE : No divergence detected HTF Comparison 🔥 HTF EXTREME : Higher timeframe confirms extremity 📊 HTF NORMAL : Higher timeframe is neutral Critical for multi-timeframe confirmation Trading Application & Strategy Signal Hierarchy (Highest to Lowest Priority): Quantum Orb + HTF Alignment + Divergence Highest conviction reversal signal Z-score extreme + timeframe confluence + divergence Quantum Orb + HTF Alignment Strong reversal signal Wait for price confirmation Divergence + Regime Change Medium-term reversal signal Monitor for orb confirmation Threshold Crosses Traditional overbought/oversold Use as alert, not entry Entry Strategies: For Reversals: Wait for Quantum Orb signal Confirm with HTF Z-score direction Enter on price structure break Stop beyond recent extreme For Continuations: Trade with regime background color Use RSI² pullbacks to center line Avoid signals against HTF trend For Scalping: Focus on Z-score extremes Quick entries on orb signals Exit at center line cross Risk Management: Reduce position size when signals conflict with HTF Avoid trades during regime transitions (blue background) Tighten stops after divergence completion Scale out at statistical mean reversion Development & Uniqueness RoRD represents months of research into momentum dynamics and statistical analysis. Unlike indicators that simply combine existing tools, RoRD introduces several genuine innovations : True RSI² Implementation : Not a smoothed RSI, but actual RSI calculated on RSI values Dual Z-Score Normalization : Unique approach to finding statistical extremes T3 Integration : First RSI² implementation with T3 smoothing for optimal lag reduction Quantum Orb Visualization : Revolutionary signal display method Dynamic Regime Detection : Automatic market state classification Statistical Adaptability : Thresholds adapt to market volatility This indicator was built from first principles, with each component carefully selected for its mathematical properties and practical trading utility. The result is a professional-grade tool that provides insights unavailable through traditional momentum analysis. Best Practices & Tips Start with default settings - they're optimized for most markets Always check HTF alignment before taking signals Use divergences as early warning , orbs as confirmation Respect regime backgrounds - trade with them, not against Combine with price action - RoRD shows when, price shows where Adjust Z-score thresholds based on market volatility Monitor dashboard metrics for complete market context Conclusion RoRD isn't just another indicator—it's a complete momentum analysis system that reveals market dynamics invisible to traditional tools. By combining momentum acceleration, statistical analysis, and multi-timeframe confluence with intuitive visualization, RoRD provides traders with a sophisticated edge in any market condition. Whether you're scalping rapid reversals or positioning for major trend changes, RoRD's unique approach to momentum analysis will transform how you see and trade market dynamics. See momentum's future. Trade with statistical edge. Trade with insight. Trade with anticipation. — Dskyz, for DAFE Trading Systems
Indicatore Pine Script®
di DskyzInvestments
4
RSI Shifting Band Oscillator | QuantMAC📊 RSI Shifting Band Oscillator | QuantMAC 🎯 Overview The RSI Shifting Band Oscillator represents a breakthrough in adaptive technical analysis, combining the innovative dual-stage RSI processing with dynamic volatility bands to create an oscillator that automatically adjusts to changing market momentum conditions. This cutting-edge indicator goes beyond traditional static approaches by using smoothed RSI to dynamically shift band width based on momentum transitions, providing superior signal accuracy across different market regimes. 🔧 Key Features Revolutionary Dual RSI Technology: Proprietary two-stage RSI calculation with exponential smoothing that measures momentum transitions in real-time Dynamic Adaptive Bands: Self-adjusting volatility bands that expand and contract based on RSI distance from equilibrium Dual Trading Modes: Flexible Long/Short or Long/Cash strategies for different trading preferences Advanced Performance Analytics: Comprehensive metrics including Sharpe, Sortino, and Omega ratios Smart Visual System: Dynamic color coding with 9 professional color schemes Precision Backtesting: Date range filtering with detailed historical performance analysis Real-time Signal Generation: Clear entry/exit signals with customizable threshold sensitivity Position Sizing Intelligence: Half Kelly criterion for optimal risk management 📈 How The Dual RSI Technology Works The Dual RSI system is the heart of this indicator's innovation. Unlike traditional RSI implementations, this approach analyzes the smoothed momentum transitions between different RSI states, providing early warning signals for momentum regime changes. RSI Calculation Process: Calculate traditional RSI using specified length and price source Apply exponential moving average smoothing to reduce noise Measure RSI distance from neutral 50 level to determine momentum strength Use RSI deviation to dynamically adjust standard deviation multipliers Create adaptive bands that respond to momentum conditions Generate normalized oscillator values for clear signal interpretation The genius of this dual RSI approach lies in its ability to detect when markets are transitioning between momentum and consolidation periods before traditional indicators catch up. This provides traders with a significant edge in timing entries and exits. ⚙️ Comprehensive Parameter Control RSI Settings: RSI Length: Controls the lookback period for momentum analysis (default: 14) RSI Smoothing: Reduces noise in RSI calculations using EMA (default: 20) Source: Price input selection (close, open, high, low, etc.) Oscillator Settings: Base Length: Foundation moving average for band calculations (default: 40) Standard Deviation Length: Period for volatility measurement (default: 26) SD Multiplier: Base band width adjustment (default: 2.7) Oscillator Multiplier: Scaling factor for oscillator values (default: 100) Signal Thresholds: Long Threshold: Bullish signal trigger level (default: 90) Short Threshold: Bearish signal trigger level (default: 56) 🎨 Advanced Visual System Main Chart Elements: Dynamic Shifting Bands: Upper and lower bands that automatically adjust width based on RSI momentum Adaptive Fill Zone: Color-coded area between bands showing current market state Basis Line: Moving average foundation displayed as subtle reference points Smart Bar Coloring: Candles change color based on oscillator state for instant visual feedback Oscillator Pane: Normalized RSI Oscillator: Main signal line centered around zero with dynamic coloring Threshold Lines: Horizontal reference lines for entry/exit levels Zero Line: Central reference for oscillator neutrality Color State Indication: Line colors change based on bullish/bearish conditions 📊 Professional Performance Metrics The built-in analytics suite provides institutional-grade performance measurement: Net Profit %: Total strategy return percentage Maximum Drawdown %: Worst peak-to-trough decline Win Rate %: Percentage of profitable trades Profit Factor: Ratio of gross profits to gross losses Sharpe Ratio: Risk-adjusted return measurement Sortino Ratio: Downside-focused risk adjustment Omega Ratio: Probability-weighted performance ratio Half Kelly %: Optimal position sizing recommendation Total Trades: Complete transaction count 🎯 Strategic Trading Applications Long/Short Mode: ⚡ Maximizes profit potential by capturing both upward and downward price movements. The dual RSI technology helps identify when momentum is strengthening or weakening, allowing for optimal position switches between long and short. Long/Cash Mode: 🛡️ Conservative approach ideal for retirement accounts or risk-averse traders. The indicator's adaptive nature helps identify the best times to be invested versus sitting in cash, protecting capital during adverse market conditions. 🚀 Unique Advantages Traditional Indicators vs RSI Shifting Bands: Static vs Dynamic: While most indicators use fixed parameters, RSI bands adapt in real-time Lagging vs Leading: Dual RSI detects momentum transitions before they fully manifest One-Size vs Adaptive: The same settings work across different market conditions Simple vs Intelligent: Advanced momentum analysis provides superior market insight 💡 Professional Setup Guide For Day Trading (Short-term): RSI Length: 10-12 RSI Smoothing: 15-18 Base Length: 25-30 Thresholds: Long 85, Short 60 For Swing Trading (Medium-term): RSI Length: 14-16 (default range) RSI Smoothing: 20-25 Base Length: 40-50 Thresholds: Long 90, Short 56 (defaults) For Position Trading (Long-term): RSI Length: 18-21 RSI Smoothing: 25-30 Base Length: 60-80 Thresholds: Long 92, Short 50 🧠 Advanced Trading Techniques RSI Divergence Analysis: Watch for divergences between price action and smoothed RSI readings. When price makes new highs/lows but RSI doesn't confirm, it often signals upcoming reversals. Band Width Interpretation: Expanding Bands: Increasing momentum, expect larger price moves Contracting Bands: Decreasing momentum, prepare for potential breakouts Band Touches: Price touching outer bands often signals reversal opportunities Multi-Timeframe Analysis: Use RSI oscillator on higher timeframes for trend direction and lower timeframes for precise entry timing. ⚠️ Important Risk Disclaimers Past performance is not indicative of future results. This indicator represents advanced technical analysis but should never be used as the sole basis for trading decisions. Critical Risk Factors: Market Conditions: No indicator performs equally well in all market environments Backtesting Limitations: Historical performance may not reflect future market behavior Momentum Risk: Adaptive indicators can be sensitive to extreme momentum conditions Parameter Sensitivity: Different settings may produce significantly different results Capital Risk: Always use appropriate position sizing and stop-loss protection 📚 Educational Benefits This indicator provides exceptional learning opportunities for understanding: Advanced RSI analysis and momentum measurement techniques Adaptive indicator design and implementation The relationship between momentum transitions and price movements Professional risk management using Kelly Criterion principles Modern oscillator interpretation and signal generation 🔍 Market Applications The RSI Shifting Band Oscillator works across various markets: Forex: Excellent for currency pair momentum analysis Stocks: Individual equity and index trading Commodities: Adaptive to commodity market momentum cycles Cryptocurrencies: Handles extreme momentum variations effectively Futures: Professional derivatives trading applications 🔧 Technical Innovation The RSI Shifting Band Oscillator represents years of research into adaptive technical analysis. The proprietary dual RSI calculation method has been optimized for: Computational Efficiency: Fast calculation even on high-frequency data Noise Reduction: Advanced smoothing without excessive lag Market Adaptability: Automatic adjustment to changing conditions Signal Clarity: Clear, actionable trading signals 🔔 Updates and Evolution The RSI Shifting Band Oscillator | QuantMAC continues to evolve with regular updates incorporating the latest research in adaptive technical analysis. The code is thoroughly documented for transparency and educational purposes. Trading Notice: Financial markets involve substantial risk of loss. The RSI Shifting Band Oscillator is a sophisticated technical analysis tool designed to assist in trading decisions but cannot guarantee profitable outcomes. --- Master The Markets With Adaptive Intelligence! 🎯📈
Indicatore Pine Script®
di Quant_MAC
RSI Divergence + Sweep + Signal + Alerts Toolkit [TrendX_]The RSI Toolkit is a powerful set of tools designed to enhance the functionality of the traditional Relative Strength Index (RSI) indicator. By integrating advanced features such as Moving Averages, Divergences, and Sweeps, it helps traders identify key market dynamics, potential reversals, and newly-approach trading stragies. The toolkit expands on standard RSI usage by incorporating features from smart money concepts (Just try to be creative 🤣 Hope you like it), providing a deeper understanding of momentum, liquidity sweeps, and trend reversals. It is suitable for RSI traders who want to make more informed and effective trading decisions. 💎 FEATURES RSI Moving Average The RSI Moving Average (RSI MA) is the moving average of the RSI itself. It can be customized to use various types of moving averages, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Moving Average (RMA), and Volume-Weighted Moving Average (VWMA). The RSI MA smooths out the RSI fluctuations, making it easier to identify trends and crossovers. It helps traders spot momentum shifts and potential entry/exit points by observing when the RSI crosses above or below its moving average. RSI Divergence RSI Divergence identifies discrepancies between price action and RSI momentum. There are two types of divergences: Regular Divergence - Indicates a potential trend reversal; Hidden Divergence - Suggests the continuation of the current trend. Divergence is a critical signal for spotting weakness or strength in a trend. Regular divergence highlights potential trend reversals, while hidden divergence confirms trend continuation, offering traders valuable insights into market momentum and possible trade setups. RSI Sweep RSI Sweep detects moments when the RSI removes liquidity from a trend structure by sweeping above or below the price at key momentum level crossing. These sweeps are overlaid on the RSI chart for easier visualized. RSI Sweeps are significant because they indicate potential turning points in the market. When RSI sweeps occur: In an uptrend - they suggest buyers' momentum has peaked, possibly leading to a reversal; In a downtrend - they indicate sellers’ momentum has peaked, also hinting at a reversal. (Note: This feature incorporates Liquidity Sweep concepts from Smart Money Concepts into RSI analysis, helping RSI traders identify areas where liquidity has been removed, which often precedes a trend reversal) 🔎 BREAKDOWN RSI Moving Average How MA created: The RSI value is calculated first using the standard RSI formula. The MA is then applied to the RSI values using the trader’s chosen type of MA (SMA, EMA, RMA, or VWMA). The flexibility to choose the type of MA allows traders to adjust the smoothing effect based on their trading style. Why use MA: RSI by itself can be noisy and difficult to interpret in volatile markets. Applying moving average would provide a smoother, more reliable view of RSI trends. RSI Divergence How Regular Divergence created: Regular Divergence is detected when price forms HIGHER highs while RSI forms LOWER highs (bearish divergence) or when price forms LOWER lows while RSI forms HIGHER lows (bullish divergence). How Hidden Divergence created: Hidden Divergence is identified when price forms HIGHER lows while RSI forms LOWER lows (bullish hidden divergence) or when price forms LOWER highs while RSI forms HIGHER highs (bearish hidden divergence). Why use Divergence: Divergences provide early warning signals of a potential trend change. Regular divergence helps traders anticipate reversals, while hidden divergence supports trend continuation, enabling traders to align their trades with market momentum. RSI Sweep How Sweep created: Trend Structure Shift are identified based on the RSI crossing key momentum level of 50. To track these sweeps, the indicator pinpoints moments when liquidity is removed from the Trend Structure Shift. This is a direct application of Liquidity Sweep concepts used in Smart Money theories, adapted to RSI. Why use Sweep: RSI Sweeps are created to help traders detect potential trend reversals. By identifying areas where momentum has exhausted during a certain trend direction, the indicator highlights opportunities for traders to enter trades early in a reversal or continuation phase. ⚙️ USAGES Divergence + Sweep This is an example of combining Devergence & Sweep in BTCUSDT (1 hour) Wait for a divergence (regular or hidden) to form on the RSI. After the divergence is complete, look for a sweep to occur. A potential entry might be formed at the end of the sweep. Divergences indicate a potential trend change, but confirmation is required to ensure the setup is valid. The RSI Sweep provides that confirmation by signaling a liquidity event, increasing the likelihood of a successful trade. Sweep + MA Cross This is an example of combining Devergence & Sweep in BTCUSDT (1 hour) Wait for an RSI Sweep to form then a potential entry might be formed when the RSI crosses its MA. The RSI Sweep highlights a potential turning point in the market. The MA cross serves as additional confirmation that momentum has shifted, providing a more reliable and more potential entry signal for trend continuations. DISCLAIMER This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Indicatore Pine Script®
di TrendX_
8
RSI Multiple TimeFrame, Version 1.0RSI Multiple TimeFrame, Version 1.0 Overview The RSI Multiple TimeFrame script is designed to enhance trading decisions by providing a comprehensive view of the Relative Strength Index (RSI) across multiple timeframes. This tool helps traders identify overbought and oversold conditions more accurately by analyzing RSI values on different intervals simultaneously. This is particularly useful for traders who employ multi-timeframe analysis to confirm signals and make more informed trading decisions. Unique Feature of the new script (described in detail below) Multi-Timeframe RSI Analysis Customizable Timeframes Visual Signal Indicators (dots) Overbought and Oversold Layers with gradual Background Fill Enhanced Trend Confirmation Originality and Usefulness This script combines the RSI indicator across three distinct timeframes into a single view, providing traders with a multi-dimensional perspective of market momentum. It also provides associated signals to better time dips and peaks. Unlike standard RSI indicators that focus on a single timeframe, this script allows users to observe RSI trends across short, medium, and long-term intervals, thereby improving the accuracy of entry and exit signals. This is particularly valuable for traders looking to align their short-term strategies with longer-term market trends. Signal Description The script also includes a unique signal feature that plots green and red dots on the chart to highlight potential buy and sell opportunities: Green Dots : These appear when all three RSI values are under specific thresholds (RSI of the shortest timeframe < 30, the medium timeframe < 40, and the longest timeframe < 50) and the RSI of the shortest timeframe is showing an upward trend (current value is greater than the previous value, and the value two periods ago is greater than the previous value). This indicates a potential buying opportunity as the market may be shifting from an oversold condition. Red Dots : These appear when all three RSI values are above specific thresholds (RSI of the shortest timeframe > 70, the medium timeframe > 60, and the longest timeframe > 50) and the RSI of the shortest timeframe is showing a downward trend (current value is less than the previous value, and the value two periods ago is less than the previous value). This indicates a potential selling opportunity as the market may be shifting from an overbought condition. These signals help traders identify high-probability turning points in the market by ensuring that momentum is aligned across multiple timeframes. Detailed Description Input Variables RSI Period (`len`) : The number of periods to calculate the RSI. Default is 14. RSI Source (`src`) : The price source for RSI calculation, defaulting to the average of the high and low prices (`hl2`). Timeframes (`tf1`, `tf2`, `tf3`) : The different timeframes for which the RSI is calculated, defaulting to 5 minutes, 1 hour, and 8 hours respectively. Functionality RSI Calculations : The script calculates the RSI for each of the three specified timeframes using the `request.security` function. This allows the RSI to be plotted for multiple intervals, providing a layered view of market momentum. ```pine rsi_tf1 = request.security(syminfo.tickerid, tf1, ta.rsi(src, len)) rsi_tf2 = request.security(syminfo.tickerid, tf2, ta.rsi(src, len)) rsi_tf3 = request.security(syminfo.tickerid, tf3, ta.rsi(src, len)) ``` Plotting : The RSI values for the three timeframes are plotted with different colors and line widths for clear visual distinction. This makes it easy to compare RSI values across different intervals. ```pine p1 = plot(rsi_tf1, title="RSI 5m", color=color.rgb(200, 200, 255), linewidth=2) p2 = plot(rsi_tf2, title="RSI 1h", color=color.rgb(125, 125, 255), linewidth=2) p3 = plot(rsi_tf3, title="RSI 8h", color=color.rgb(0, 0, 255), linewidth=2) ``` Overbought and Oversold Levels : Horizontal lines are plotted at standard RSI levels (20, 30, 40, 50, 60, 70, 80) to visually identify overbought and oversold conditions. The areas between these levels are filled with varying shades of blue for better visualization. ```pine h80 = hline(80, title="RSI threshold 80", color=color.gray, linestyle=hline.style_dotted, linewidth=1) h70 = hline(70, title="RSI threshold 70", color=color.gray, linestyle=hline.style_dotted, linewidth=1) ... fill(h70, h80, color=color.rgb(33, 150, 243, 95), title="Background") ``` Signal Plotting : The script adds green and red dots to indicate potential buy and sell signals, respectively. A green dot is plotted when all RSI values are under specific thresholds and the RSI of the shortest timeframe is rising. Conversely, a red dot is plotted when all RSI values are above specific thresholds and the RSI of the shortest timeframe is falling. ```pine plotshape(series=(rsi_tf1 < 30 and rsi_tf2 < 40 and rsi_tf3 < 50 and (rsi_tf1 > rsi_tf1 ) and (rsi_tf1 > rsi_tf1 )) ? 1 : na, location=location.bottom, color=color.green, style=shape.circle, size=size.tiny) plotshape(series=(rsi_tf1 > 70 and rsi_tf2 > 60 and rsi_tf3 > 50 and (rsi_tf1 < rsi_tf1 ) and (rsi_tf1 < rsi_tf1 )) ? 1 : na, location=location.top, color=color.red, style=shape.circle, size=size.tiny) ``` How to Use Configuring Inputs : Adjust the RSI period and source as needed. Modify the timeframes to suit your trading strategy. Interpreting the Indicator : Use the plotted RSI values to gauge momentum across different timeframes. Look for overbought conditions (RSI above 70, 60 and 50) and oversold conditions (RSI below 30, 40 and 50) across multiple intervals to confirm trade signals. Signal Confirmation : Pay attention to the green and red dots that provide signals to better time dips and peaks. dots are printed when the lower timeframe (5mn by default) shows sign of reversal. These signals are more reliable when confirmed across all three timeframes. This script provides a nuanced view of RSI, helping traders make more informed decisions by considering multiple timeframes simultaneously. By combining short, medium, and long-term RSI values, traders can better align their strategies with overarching market trends, thus improving the precision of their trading actions.
Indicatore Pine Script®
di adridem