Fire Sling Shot Stochastic// ============================================================================
// Stochastic Indicator (5,3,3) Explanation
// ============================================================================
//
// The Fire Sling Shot strategy uses a Stochastic oscillator (5,3,3) as a
// confirming indicator to enhance the reliability of EMA crossover signals.
//
// WHAT IS STOCHASTIC?
// The Stochastic oscillator is a momentum indicator that compares a security's
// closing price to its price range over a specific period. The indicator
// oscillates between 0 and 100, with readings above 80 considered overbought
// and readings below 20 considered oversold.
//
// SETTINGS USED:
// - %K Period: 5 (faster sensitivity to price movements)
// - %D Period: 3 (smoothing of %K)
// - Smoothing: 3 (additional smoothing applied to the %K line)
// - Overbought Level: 80
// - Oversold Level: 20
//
// HOW IT'S USED IN THIS STRATEGY:
//
// 1. Bull Signal Enhancement:
// When the 15 EMA crosses above the 50 EMA (primary signal), we check
// if the Stochastic is below 20 or has just crossed above 20. This suggests
// momentum is starting to turn upward from an oversold condition, improving
// the quality of the long entry.
//
// 2. Bear Signal Enhancement:
// When the 15 EMA crosses below the 50 EMA (primary signal), we check
// if the Stochastic is above 80 or has just crossed below 80. This suggests
// momentum is starting to turn downward from an overbought condition,
// improving the quality of the short entry.
//
// 3. Early Warning:
// Stochastic movements below 20 or above 80 can provide early warning of
// potential EMA crossovers, allowing traders to prepare for possible entry
// signals.
//
// The Stochastic filter is optional and can be enabled/disabled through the
// strategy inputs. When disabled, the strategy relies solely on EMA crossovers
// for entry signals.
//
// NOTE: While Stochastic can improve signal quality, no indicator is perfect.
// False signals can occur, especially in ranging or choppy markets. Always
// combine with proper risk management and consider the overall market context.
//
// ============================================================================
M-oscillator
Ceres Trader Simple Trend & Momentum SignalsCeres Trader – Simple Trend & Momentum Signals
Description:
Cut through chart noise with a lightweight, two-factor signal system that combines a classic trend filter (200 EMA) with momentum confirmation (smoothed RSI as a QQE proxy). This indicator plots clean entry arrows—no background shading, no clutter—so you can trade only in the high-probability regime:
Trend Filter: 200-period exponential moving average
Momentum Filter: RSI(14) smoothed over N bars, offset by 50 to create a zero-line
Long Entry: Price above the 200 EMA and the smoothed RSI crosses up through zero → green up-arrow below bar
Short Entry: Price below the 200 EMA and the smoothed RSI crosses down through zero → red down-arrow above bar
Key Features:
Minimalist display: only the 200 EMA and entry arrows
Customizable inputs: EMA length, RSI length, RSI smoothing period
Ultra-low CPU load: suitable for lower timeframes (e.g. 1 min gold futures)
Yellow label text: for optimal visibility on dark or light chart backgrounds
How to Use:
Add the script to your TradingView chart.
Choose your timeframe and adjust inputs as needed.
Take only the long signals when price is above the EMA, and only the short signals when price is below.
Place stops just beyond the EMA; targets can be measured swings or fixed R-multiples.
Notes:
Designed as a regime-based entry filter—no exits or background fills included.
Feel free to combine with your own stop-loss, take-profit, and money-management rules.
Trade smarter, not harder—let the market tell you only when both trend and momentum align.
Parsifal.Swing.TrendScoreThe Parsifal.Swing.TrendScore indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
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Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
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The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
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The Parsifal.Swing.TrendScore – Specifics
The Parsifal.Swing.TrendScore module combines short-term trend data with information about the current swing state, derived from raw price data and classical technical indicators. It provides an indication of how well the short-term trend aligns with the prevailing swing, based on recent market behavior.
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How Swing.TrendScore Works
The Swing.TrendScore calculates a swing score by collecting data within a bin (i.e., a single candle or time bucket) that signals an upside or downside swing. These signals are then aggregated together with insights from classical swing indicators.
Additionally, it calculates a short-term trend score using core technical signals, including:
• The Z-score of the price's distance from various EMAs
• The slope of EMAs
• Other trend-strength signals from additional technical indicators
These two components—the swing score and the trend score—are then combined to form the Swing.TrendScore indicator, which evaluates the short-term trend in context with swing behavior.
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How to Interpret Swing.TrendScore
The trend component enhances Swing.TrendScore’s ability to provide stronger signals when the short-term trend and swing state align.
It can also override the swing score; for example, even if a mean reversion appears to be forming, a dominant short-term trend may still control the market behavior.
This makes Swing.TrendScore particularly valuable for:
• Short-term trend-following strategies
• Medium-term swing trading
Unlike typical swing indicators, Swing.TrendScore is designed to respond more to medium-term swings rather than short-lived fluctuations.
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Behavior and Chart Representation
The Swing.TrendScore indicator fluctuates within a range, as most of its components are range-bound (though Z-score components may technically extend beyond).
• Historically high or low values may suggest overbought or oversold conditions
• The chart displays:
o A fast curve (orange)
o A slow curve (white)
o A shaded background representing the market state
• Extreme values followed by curve reversals may signal a developing mean reversion
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TrendScore Background Value
The Background Value reflects the combined state of the short-term trend and swing:
• > 0 (shaded green) → Bullish mode: swing and short-term trend both upward
• < 0 (shaded red) → Bearish mode: swing and short-term trend both downward
• The absolute value represents the confidence level in the market mode
Notably, the Background Value can remain positive during short downswings if the short-term trend remains bullish—and vice versa.
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How to Use the Parsifal.Swing.TrendScore
Several change points can act as entry triggers or aids:
• Fast Trigger: change in slope of the fast signal curve
• Trigger: fast line crosses slow line or the slope of the slow signal changes
• Slow Trigger: change in sign of the Background Value
Examples of these trigger points are illustrated in the accompanying chart.
Additionally, market highs and lows aligning with the swing indicator values may serve as pivot points in the evolving price process.
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As always, this indicator should be used in conjunction with other tools and market context in live trading.
While it provides valuable insight and potential entry points, it does not predict future price action.
Instead, it reflects recent tendencies and should be used judiciously.
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Extensions
The aggregation of information—whether derived from bins or technical indicators—is currently performed via simple averaging. However, this can be modified using alternative weighting schemes, based on:
• Historical performance
• Relevance of the data
• Specific market conditions
Smoothing periods used in calculations are also modifiable. In general, the EMAs applied for smoothing can be extended to reflect expectations based on relevance-weighted probability measures.
Since EMAs inherently give more weight to recent data, this allows for adaptive smoothing.
Additionally, EMAs may be further extended to incorporate negative weights, akin to wavelet transform techniques.
Parsifal.Swing.FlowThe Parsifal.Swing.Flow indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
________________________________________
Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
________________________________________
The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
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The Parsifal.Swing.Flow – Specifics
The Parsifal.Swing.Flow module aggregates price and trading flow data per bin (a "bin" refers to a single candle or time bucket) and smooths this information over recent historical data to reflect ongoing market dynamics.
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How Swing.Flow Works
For each bin, individual data points—called "bin-infolets"—are collected. Each infolet reflects the degree and direction of trading flow, offering insight into buying and selling pressure.
The module processes this data in two steps:
1. Aggregation:
All bin-infolet values within a bin are averaged to produce a single bin-flow value.
2. Smoothing:
The resulting bin-flow values are then smoothed across multiple bins, typically using short-term EMAs.
The outcome is a dynamic representation of the current swing state based on recent trading flow activity.
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How to Interpret Swing.Flow
• Range-bound but not a true oscillator:
While individual bin-infolets are range-bound, the Swing.Flow indicator itself is not a classical oscillator.
• Overbought/Oversold Signals:
Historically high or low values in Swing.Flow may signal overbought or oversold conditions.
• Chart Representation:
o A fast curve (orange)
o A slow curve (white)
o A shaded background that illustrates overall market state
• Mean Reversion Signals:
Extreme curve values followed by reversals may indicate the onset of a mean reversion in price.
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Flow Background Value
The Flow Background Value represents the net state of trading flow:
• > 0 (green shading) → Bullish mode
• < 0 (red shading) → Bearish mode
• The absolute value reflects the confidence level in the current trend direction
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How to Use the Parsifal.Swing.Flow
Several change points can act as entry point triggers:
• Fast Trigger:
A change in the slope of the fast signal curve
• Trigger:
The fast line crossing the slow line or a change in the slope of the slow signal
• Slow Trigger:
A change in the sign of the Background Value
These triggers are visualized in the accompanying chart.
Additionally, market highs and lows that align with the swing indicator values can serve as pivot points for the ongoing price process.
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As always, this indicator is best used in conjunction with other indicators and market information.
While Parsifal.Swing.Flow offers valuable insight and potential entry points, it does not predict future price action.
Rather, it reflects the most recent market tendencies, and should therefore be applied with discretion.
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Extensions
• Aggregation Method:
The current approach—averaging all infolets—can be replaced by alternative weighting schemes, adjusted according to:
o Historical performance
o Relevance of data
o Specific market conditions
• Smoothing Period:
The EMA-based smoothing period can be varied. In general, EMAs can be enhanced to reflect relevance-weighted probability measures, giving greater importance to recent data for a more adaptive and dynamic response.
• Advanced Smoothing:
EMAs can be further extended to include negative weights, similar to wavelet transform techniques, allowing even greater flexibility in smoothing methodologies.
Parsifal.Swing.RSIThe Parsifal.Swing.RSI indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module facilitates judgment of the current swing state in the underlying market.
________________________________________
Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These swings within the trend are inherently tradable.
They can be approached:
• One-sidedly, in alignment with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions.
Note: In strong trends, mean reversions often appear as sideways consolidations, making one-sided trades more robust.
________________________________________
The Parsifal Swing Suite
The suite provides insights into current swing states and offers various entry point triggers.
All modules act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., the RSI, which ranges from 0 to 100%).
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The Parsifal.Swing.RSI – Specifics
The Parsifal.Swing.RSI is the simplest module in the suite. It uses variations of the classical RSI, explicitly combining:
• RSI: 14-period RSI of the market
• RSIMA: 14-period EMA of the RSI
• RSI21: 14-period RSI of the 21-period EMA of the market
• RSI21MA: 14-period EMA of RSI21
Component Behavior:
• RSI: Measures overbought/oversold levels but reacts very sensitively to price changes.
• RSIMA: Offers smoother directional signals, making it better for assessing swing continuation. Its slope and sign changes are more reliable indicators than pure RSI readings.
• RSI21: Based on smoothed prices. In strong trends, it reaches higher levels and reacts more smoothly than RSI.
• RSI21MA: Further smooths RSI21, serving as a medium-term swing estimator and a signal line for RSI21.
When RSI21 exceeds RSI, it indicates trend strength.
• In uptrends, RSI21 > RSI, with larger exceedance = stronger trend
• In downtrends, the reverse holds
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Indicator Construction
The Swing RSI combines:
• RSI and RSIMA → short-term swings
• RSI21 and RSI21MA → medium-term swings
This results in:
• A fast swing curve, derived from RSI and RSI21
• A slow swing curve, derived from RSIMA and RSI21MA
This setup is smoother than RSI/RSIMA alone but more responsive than using RSI21/RSI21MA alone.
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Background Value
The Background Value reflects the overall market state, derived from RSI21:
• > 0: shaded green → bullish mode
• < 0: shaded red → bearish mode
• The absolute value reflects confidence in the current mode
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How to Use the Parsifal.Swing.RSI
Several change points can act as entry triggers:
• Fast Trigger: change in slope of the fast signal curve
• Trigger: fast line crossing slow line or change in slow signal's slope
• Slow Trigger: change in sign of the Background Value
Examples of these triggers are shown in the chart.
Additionally, market highs and lows aligned with swing values can serve as pivot points in evolving price movements.
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As always, this indicator should be used alongside other tools and information in live trading.
While it provides valuable insights and potential entry points, it does not predict future price action.
It reflects the latest tendencies and should be used judiciously.
ADX Forecast [Titans_Invest]ADX Forecast
This isn’t just another ADX indicator — it’s the most powerful and complete ADX tool ever created, and without question the best ADX indicator on TradingView, possibly even the best in the world.
ADX Forecast represents a revolutionary leap in trend strength analysis, blending the timeless principles of the classic ADX with cutting-edge predictive modeling. For the first time on TradingView, you can anticipate future ADX movements using scientifically validated linear regression — a true game-changer for traders looking to stay ahead of trend shifts.
1. Real-Time ADX Forecasting
By applying least squares linear regression, ADX Forecast projects the future trajectory of the ADX with exceptional accuracy. This forecasting power enables traders to anticipate changes in trend strength before they fully unfold — a vital edge in fast-moving markets.
2. Unmatched Customization & Precision
With 26 long entry conditions and 26 short entry conditions, this indicator accounts for every possible ADX scenario. Every parameter is fully customizable, making it adaptable to any trading strategy — from scalping to swing trading to long-term investing.
3. Transparency & Advanced Visualization
Visualize internal ADX dynamics in real time with interactive tags, smart flags, and fully adjustable threshold levels. Every signal is transparent, logic-based, and engineered to fit seamlessly into professional-grade trading systems.
4. Scientific Foundation, Elite Execution
Grounded in statistical precision and machine learning principles, ADX Forecast upgrades the classic ADX from a reactive lagging tool into a forward-looking trend prediction engine. This isn’t just an indicator — it’s a scientific evolution in trend analysis.
⯁ 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 ADX, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis.
⯁ VISUAL INTERPRETATION
Imagine an ADX time series like this:
Time →
ADX →
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 ADX, which can be crossed with the actual ADX 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 ADX 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 ADX with linear regression, this indicator allows a trader to predict market momentum, not just follow it.
ADX 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:
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🥇 This is the world’s first ADX indicator with: Linear Regression for Forecasting 🥇_______________________________________________________________________
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🔮 Linear Regression: PineScript Technical Parameters 🔮
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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.
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⯁ WHAT IS THE ADX❓
The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down.
The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength.
⯁ HOW TO USE THE ADX❓
The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones:
• Strong Trend: When the ADX is above 25, indicating a strong trend.
• Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend.
• Neutral Zone: Between 20 and 25, where the trend strength is unclear.
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⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 +DI > -DI
🔹 +DI < -DI
🔹 +DI > ADX
🔹 +DI < ADX
🔹 -DI > ADX
🔹 -DI < ADX
🔹 ADX > Threshold
🔹 ADX < Threshold
🔹 +DI > Threshold
🔹 +DI < Threshold
🔹 -DI > Threshold
🔹 -DI < Threshold
🔹 +DI (Crossover) -DI
🔹 +DI (Crossunder) -DI
🔹 +DI (Crossover) ADX
🔹 +DI (Crossunder) ADX
🔹 +DI (Crossover) Threshold
🔹 +DI (Crossunder) Threshold
🔹 -DI (Crossover) ADX
🔹 -DI (Crossunder) ADX
🔹 -DI (Crossover) Threshold
🔹 -DI (Crossunder) Threshold
🔮 +DI (Crossover) -DI Forecast
🔮 +DI (Crossunder) -DI Forecast
🔮 ADX (Crossover) +DI Forecast
🔮 ADX (Crossunder) +DI Forecast
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🔸 CONDITIONS TO SELL 📉
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 +DI > -DI
🔸 +DI < -DI
🔸 +DI > ADX
🔸 +DI < ADX
🔸 -DI > ADX
🔸 -DI < ADX
🔸 ADX > Threshold
🔸 ADX < Threshold
🔸 +DI > Threshold
🔸 +DI < Threshold
🔸 -DI > Threshold
🔸 -DI < Threshold
🔸 +DI (Crossover) -DI
🔸 +DI (Crossunder) -DI
🔸 +DI (Crossover) ADX
🔸 +DI (Crossunder) ADX
🔸 +DI (Crossover) Threshold
🔸 +DI (Crossunder) Threshold
🔸 -DI (Crossover) ADX
🔸 -DI (Crossunder) ADX
🔸 -DI (Crossover) Threshold
🔸 -DI (Crossunder) Threshold
🔮 +DI (Crossover) -DI Forecast
🔮 +DI (Crossunder) -DI Forecast
🔮 ADX (Crossover) +DI Forecast
🔮 ADX (Crossunder) +DI Forecast
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
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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
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : ADX Forecast
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
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o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
ETI IndicatorThe Ensemble Technical Indicator (ETI) is a script that combines multiple established indicators into one single powerful indicator. Specifically, it takes a number of technical indicators and then converts them into +1 to represent a bullish trend, or a -1 to represent a bearish trend. It then adds these values together and takes the running sum over the past 20 days.
The ETI is composed of the following indicators and converted to +1 or -1 using the following criteria:
Simple Moving Average (10 days) : When the price is above the 10-day simple moving averaging, +1, when below -1
Weighted Moving Average (10 days) : Similar to the SMA 10, when the the price is above the 10-day weighted moving average, +1, when below -1
Stochastic K% : If the current Stochastic K% is greater than the previous value, then +1, else -1.
Stochastic D% : Similar to the Stochastic K%, when the current Stochastic D% is greater than the previous value, +1, else -1.
MACD Difference : First subtract the MACD signal (i.e. the moving average) from the MACD value and if the current value is higher than the previous value, then +1, else -1.
William's R% : If the current William's R% is greater than the previous one, then +1, else -1.
William's Accumulation/Distribution : If the current William's AD value is greater than the previous value, then +1, else -1.
Commodity Channel Index : If the Commodity Channel Index is greater than 200 (overbought), then -1, if it is less than -200 (oversold) then +1. When it is between those values, if the current value is greater than the previous value then +1, else -1.
Relative Strength Index : If the Relative Strength Index is over 70 (overbought) then -1 and if under 30 (oversold) then +1. If the Relative Strength Indicator is between those values then if the current value is higher than the previous value +1, else -1.
Momentum (9 days) : If the momentum value is greater than 0, then +1, else -1.
Again, once these values have been calculated and converted, they are added up to produce a single value. This single value is then summed across the previous 20 candles to produce a running sum.
By coalescing multiple technical indicators into a single value across time, traders can better understand how multiple inter-related indicators are behaving at once; high scores indicate that numerous indicators are showing bullish signals indicating a potential or ongoing uptrend (and vice-versa with low scores).
Additional Features
Numerous smoothing transformations have also been added (e.g. gaussian smoothing) to remove some of the noise might exist.
Suggested Use
It is recommended that stocks are shorted when the cross below 0, and are bought when the ETI crosses above -40. Arrows can be shown on the indicator to show these points. However feel free to use levels that work best for you.
Traditionally, I have treated values above +50 as overbought and below -40 as undersold (with -80 indicating extremely oversold); however these levels could also indicate either upwards and downwards momentum so taking a position based on where the ETI is (rather than crossing levels) should be done with caution.
RSI + RSI MA + Choppiness IndexThe indicator is an extension of the Chopiness & RSI Index but takes it one step further by adding the RSI based MA .
Strong uptrend occurs when the RSI is at least 15% above the RSI based MA and the choppiness index value is below the RSI based MA.
Strong downtrend occurs when the Choppiness index line is at least 15% above the RSI based MA and the RSI is below the RSI based MA.
When both the RSI and Chopiness index are above the RSI based MA, this can mean either an uptrend or approaching downtrend.
When both the RSI and Chopiness index are below the RSI based MA, this can mean either an downtrend or approaching uptrend.
*Use at own risk.
RSI + RSI MA + Choppiness IndexThe indicator is an extension of the Chopiness & RSI Index but takes it one step further by adding the RSI based MA .
Strong uptrend occurs when the RSI is at least 15% above the RSI based MA and the choppiness index value is below the RSI based MA.
Strong downtrend occurs when the Choppiness index line is at least 15% above the RSI based MA and the RSI is below the RSI based MA.
When both the RSI and Chopiness index are above the RSI based MA, this can mean either an uptrend or approaching downtrend.
When both the RSI and Chopiness index are below the RSI based MA, this can mean either an downtrend or approaching uptrend.
*Use at own risk.
Multi RSI (3,7,14,21,50)Multi time frame RSI. Helps figure out the overall market on multi time frames.
Precision Trend Shot | JeffreyTimmermansPrecision Trend Shot
The "Precision Trend Shot" Indicator is an advanced technical tool designed to provide a dynamic and adaptive view of market trends. By combining three core components—RSI Oscillator, LSMA ATR, and Adaptable Trend Recon—this indicator delivers precise signals that help traders identify market direction, volatility, and potential trend reversals. The calculated total score, derived from these components, provides a clear, actionable view of market conditions.
Key Features
Multi-Component Analysis: Integrates three key indicators (RSI, LSMA ATR, and Adaptable Trend Recon) for a comprehensive view of market trends.
Dynamic Trend Classification: Categorizes market states as "Bullish," "Bearish," or "Neutral" based on a combined score.
Standard Deviation Bands: Displays standard deviation bands around the score line for enhanced volatility visualization.
Gradient Background Coloring: Visually highlights market phases with gradient colors, aiding quick interpretation.
Customizable Visuals: Offers extensive settings for coloring, background gradients, and signal visibility.
Real-Time Alerts: Generates alerts for significant trend changes or transitions between market states.
Inputs & Settings
RSI Settings:
RSI Source: Default: Close price. Defines the data source for RSI calculation.
RSI Length: Default: 10. Sets the period for calculating RSI.
LSMA ATR Settings:
LSMA Source: Default: Close price. Defines the data source for LSMA calculation.
LSMA Length: Default: 21. Sets the period for calculating the Least Squares Moving Average.
ATR Length: Default: 12. Sets the period for calculating the Average True Range.
Trend Settings:
Trend Length: Default: 5. Sets the period for calculating the trend.
Smoothing Length: Default: 5. Controls the smoothing of trend volatility.
Sensitivity: Default: 1.5. Adjusts the sensitivity of trend bands.
Standard Deviation Settings:
Enable Standard Deviation Bands: Default: True. Toggles the display of standard deviation bands.
Standard Deviation Length: Default: 20. Sets the period for standard deviation calculation.
Standard Deviation Multiplier: Default: 2.0. Adjusts the width of the bands.
Smoothing Length: Default: 5. Controls the smoothing of standard deviation bands.
Visual Settings:
Enable Candle Coloring: Default: True. Colors candles based on market state (Bullish, Bearish, Neutral).
Enable Background Gradient: Default: True. Applies gradient coloring to the background based on trend direction.
Score Line Colors: Customize colors for bullish, bearish, and neutral score lines.
Calculation Process
RSI Calculation:
Computes the Relative Strength Index (RSI) of the selected source data.
Signals bullish (RSI > 50) or bearish (RSI < 50) conditions.
LSMA ATR Calculation:
Computes LSMA for trend direction and ATR for volatility measurement.
Generates buy and sell signals based on crossover and crossunder of ATR bands.
Adaptable Trend Calculation:
Calculates dynamic trend levels using EMA and standard deviation bands.
Classifies trend states as Bullish, Bearish, or Neutral.
Combined Signal Calculation:
Averages the signals from RSI, LSMA ATR, and Adaptable Trend Recon to generate a total score.
Classifies the market as "Bullish" or "Bearish" based on this score.
Standard Deviation Bands:
Plots standard deviation bands around the combined signal for enhanced volatility analysis.
Gradient Background Coloring:
Colors the chart background based on the identified market state (Bullish or Bearish).
How to Use the Precision Trend Shot Indicator
Identifying Market States:
Bullish Market: Total score > 0, gradient background green.
Bearish Market: Total score < 0, gradient background red.
Confirming Signals:
Use RSI and LSMA ATR signals for early indications.
Use Trend Recon for confirming longer-term trend direction.
Visualizing Volatility:
Standard deviation bands highlight potential reversal zones.
Dynamic Alerts
The Precision Trend Shot Indicator includes a robust alert system for real-time market transitions:
Bullish to Bearish: Market shifts from a bullish to bearish trend.
Bearish to Bullish: Market shifts from a bearish to bullish trend.
Conclusion
The Precision Trend Shot Indicator is an advanced, versatile tool for identifying market trends, visualizing volatility, and generating actionable signals. With customizable settings, dynamic alerts, and clear visual representation, it is an essential addition to any trader’s toolkit.
-Jeffrey
I. Crassus Coin | Stocks Quality⚔️ The Roman Triumvirate Trading Suite ⚔️
In the ancient world, Rome was ruled by three powerful men — Crassus, Pompey, and Caesar. Together, they formed a Triumvirate that commanded wealth, military strength, and absolute authority. Now, their legendary wisdom and power have been reborn in your trading strategy.
🔱 Master the Market with the Roman Triumvirate:
I. Crassus Coin | Stocks Quality: The Wealth of Crassus — evaluate the quality and strength of stocks with a precision grading system.
II. Pompey Artillery | Entry Signal: The Tactical Might of Pompey — strike with precision using advanced entry logic, filtering only the strongest setups.
III. Caesar's Legion | Volume: The Unstoppable Force of Caesar — control risk and maximize opportunity with adaptive volume analysis.
Together, these three pillars form a complete, battle-tested trading system that allows you to trade with the wisdom of Crassus, the tactical might of Pompey, and the fearless strength of Caesar. ⚡
⚡ I. Crassus Coin | Stocks Quality
📌 Description:
The Crassus Coin is your market evaluation engine, providing a precise grading system that scores stocks based on their quality and context. Inspired by the immense wealth of Crassus, this tool helps you identify high-value opportunities.
🔧 Core Features:
📊 Multi-factor grading system (A, B, C) for fast stock quality analysis.
📈 Tracks critical metrics, including:
Weekly Trend State (Bullish, Bearish, Neutral)
RSI and MACD Direction
Price and Volume Conditions
Bollinger Bands Breakouts
🚦 Alerts for high-confluence Grade A signals.
⚔️ How to Use:
Add Crassus Coin to your chart.
Monitor the grading system:
"A" Grade = Strong Quality (Prime for trading).
"B" Grade = Moderate Quality.
"C" Grade = Weak (Avoid).
Use this as your foundation to determine which stocks are worth trading.
⚔️ The Complete Roman Triumvirate Trading System
With all three modules combined, you have a complete tactical system:
Crassus Coin | Stocks Quality: Know which assets are worth trading.
Pompey Artillery | Entry Signal: Execute precise trades with high-probability setups.
Caesar's Legion | Volume: Manage risk and adapt to market strength with real-time volume analysis.
🚀 Why Use the Roman Triumvirate?
⚡ Master Market Context (Crassus Coin).
🎯 Strike with Precision (Pompey Artillery).
🛡️ Control Risk with Discipline (Caesar's Legion).
🔥 Trade like a conqueror, plan like a general, and adapt like an emperor.
COT Raw Data - DisaggregatedAn invite‐only TradingView script that delivers the original Disaggregated COT raw dataset—showing gross long and short positions, net long-short balances, and total open interest from the aggregate CFTC report. Updated every Friday, it gives you unfiltered, week-by-week data you can pull directly onto any futures chart for deep back-testing or live analysis.
COT Raw Data -FinancialAn invite‐only TradingView script that delivers the original Traders in Financial Futures COT raw dataset—showing gross long and short positions, net long-short balances, and total open interest from the aggregate CFTC report. Updated every Friday, it gives you unfiltered, week-by-week data you can pull directly onto any futures chart for deep back-testing or live analysis.
RSV % Change - SelectRSV (Relative Strength Valuation) Model
Built exactly on Bernd Skorupinski’s original framework, the RSV Model first computes each asset’s percentage change over a user-defined period, then measures the spread between that change and the equivalent move in a chosen benchmark (DXY by default, or bonds, gold, or BTC). It normalizes this spread over a rolling lookback window to produce a 0–100 RSV reading, then recentres it into a –100 to +100 standardized score—so you see only the true valuation-adjusted momentum. Readings above +75 flag overvalued extremes; readings below –75 expose undervalued opportunities. With adjustable length and lookback settings, it delivers the identical edge Bernd Skorupinski’s trusts, stripped of lag and noise.
RSV % Change - SelectRSV (Relative Strength Valuation) Model
Built exactly on Bernd Skorupinski’s original framework, the RSV Model first computes each asset’s percentage change over a user-defined period, then measures the spread between that change and the equivalent move in a chosen benchmark (DXY by default, or bonds, gold, or BTC). It normalizes this spread over a rolling lookback window to produce a 0–100 RSV reading, then recentres it into a –100 to +100 standardized score—so you see only the true valuation-adjusted momentum. Readings above +75 flag overvalued extremes; readings below –75 expose undervalued opportunities. With adjustable length and lookback settings, it delivers the identical edge Bernd Skorupinski’s trusts, stripped of lag and noise.
ATR% Multiple Line&TF By NorawitMTF ATR in Percentage
Multiple Line and Timeframe for differences analysis,can change color in any line
ATR % = ATR(n)/Close*100
Wait for Develop more functions
Enjoy
MACD_DIXCHANGE with Divergences and Target PricesSummary
This indicator is an advanced momentum oscillator, inspired by the work of DAVIDGLZ. It is designed to help traders visualize the strength and direction of the current trend, identify potential market exhaustion or turning points through automatic divergence detection, and provides key reference levels and price estimates for a more comprehensive analysis.
Main Tools and Features
Main Oscillator: The colored line that fluctuates above and below a central zero line.
· Its position (above/below zero) indicates the general direction of momentum
(bullish/bearish).
· Its color changes gradually (typically green/lime for bullish, red/maroon for bearish) and
can suggest the strength of that momentum.
Signal Line: A smoothed version (moving average) of the main line. Crossovers between the main line and the signal line are key events that can generate early warning signals of potential changes.
Histogram (MACD Style): The vertical bars representing the difference (strength) between the Main Oscillator and its Signal Line.
· The height of the bars indicates the magnitude of the difference.
· Its colors change to help visualize whether momentum is accelerating (brighter colors like
Lime Green or Red) or decelerating (darker colors like Green or Maroon).
Key Horizontal Levels: Three reference lines: an Upper Level, a Lower Level (both user-configurable), and the central Zero Line. The area between the upper and lower levels is shaded, creating a visual "operating zone". These levels help identify when the oscillator reaches zones considered relatively over-extended.
Crossover Alerts: Small visual triangles (green for bullish crossover, red for bearish) that mark exactly when the Main Oscillator crosses its Signal Line.
Automatic Divergence Detector: A powerful tool that compares price movement with the Histogram's movement to find discrepancies:
· Detects Regular Bullish Divergences: Price makes lower lows, but the Histogram makes higher lows (potential bottom).
· Detects Regular Bearish Divergences:Price makes higher highs, but the Histogram makes lower highs (potential top).
Divergence Visualization: When a divergence is detected, it automatically draws:
· A dotted line directly on the Histogram connecting the two relevant lows (bullish) or highs (bearish) that form the divergence.
·A small "DIV" text label positioned centered on the midpoint of that dotted divergence line.
Estimated Price Labels: Very useful contextual information displayed to the right of the indicator (only on the last chart bar):
· Shows the approximate price the asset would need to reach right now for the Main Oscillator to touch the Upper Level (H ≈ ...), the Lower Level (L ≈ ...), the Zero Line (Mid ≈ ...), or the crossover point with the Signal Line (Cruce ≈ / Cross ≈ ...). These are dynamic estimates, not fixed predictions.
· Optional Background Color ("Double Peak" Pattern): (If enabled in settings) The indicator's panel background changes to green or red to highlight a specific condition: when the histogram forms two impulses ("mountains") in the same direction, and the second impulse begins to show signs of exhaustion by retreating towards zero.
·Information Panel: Displays the stylized name of the indicator in the bottom-right corner.
How to Interpret and Use the Tools
· Trend and Momentum: Use the Main Oscillator's position (above/below zero) and its crossovers with the Signal Line as basic directional indicators. Confirm strength and acceleration with the Histogram.
· Reversal Signals: Divergences are key signals of potential trend exhaustion. A bullish divergence after a downtrend, or a bearish divergence after an uptrend, warns of a possible change in direction. Important: Do not trade divergences alone; always seek confirmation (price action, patterns, other indicators).
· Extreme Conditions: Use the Upper and Lower Levels as guides to identify when the indicator reaches relatively overextended zones, where a pullback or pause might be more likely.
· Price Context: The Estimated Price Labels help you relate the indicator's levels to specific price points on the asset in the current moment.
· Exhaustion Signal (Background): If the background color feature is active, use it as an additional alert that a secondary push in the histogram might be failing.
Configuration
The indicator offers a wide range of customizable settings via its Inputs:
· Adjust the "speed" or sensitivity of the Main Oscillator (by changing its Moving Average settings).
· Adjust the smoothing of the Signal Line.
· Define your own Upper and Lower Horizontal Levels.
· Adjust the sensitivity of Divergence detection (by changing pivot parameters).
· Enable or disable most visual features (divergence lines/labels, price labels, optional
background color).
"This indicator is intended for use on timeframes of 3 minutes or higher and comes pre-configured with functional default settings. Modifying these settings may alter the original intended functionality of the indicator."
Disclaimer
This indicator is a tool for technical analysis and should not be considered investment advice or an infallible signal. Trading involves risks. Use this indicator as part of a well-defined trading strategy, alongside other analysis tools and proper risk management. Always conduct your own research.
Credits
Based on the original concept "Insane MACD_DIXCHANGE" by DAVIDGLZ, with multiple enhancements and added functionalities during development.
This English version should effectively convey the indicator's features and usage on TradingView.
Swing Trend Confluence Panel 📊 (Lean)Good for swing trend. This combines with othre indicators such as macd, rsi, and stochastic makes a powerful confluence to compliment with your support and resistance. It has tables to show the quality of the stocks. You enter only when its grade A and be cautious when its grade b but scrap the grade c.
WaveFunction MACD (TechnoBlooms)WaveFunction MACD — The Next Generation of Market Momentum
WaveFunction MACD is an advanced hybrid momentum indicator that merges:
• The classical MACD crossover logic (based on moving averages)
• Wave physics (modeled through phase energy and cosine functions)
• Hilbert Transform theory from signal processing
• The concept of a wavefunction from quantum mechanics, where price action is seen as a probabilistic energy wave—not just a trend.
✨ Key Features of WaveFunction MACD
• Wave Energy Logic : Instead of using just price and MA differences, this indicator computes phase-corrected momentum using the cosine of the wave phase angle — revealing the true energy behind market moves.
• Phase-Based Trend Detection : It reads cycle phases using Hilbert Transform-like logic, allowing you to spot momentum before it becomes visible in price.
• Ultra-Smooth Flow : The main line and histogram are built to follow price flow smoothly — eliminating much of the noise found in traditional MACD indicators.
• Signal Amplification via Energy Histogram : The histogram doesn’t just show momentum changes — it shows the intensity of wave energy, allowing you to confirm the strength of the trend.
• Physics-Driven Structure : The algorithm is rooted in real-world wave mechanics, bringing a scientific edge to trading — ideal for traders who believe in natural models like cycles and harmonics.
• Trend Confirmation & Early Reversals : It can confirm strong trends and also catch subtle shifts that often precede big reversals — giving you both reliability and anticipation.
• Ready for Fusion : Designed to work seamlessly with liquidity zones, price action, order blocks, and structure trading — a perfect fit for modern trading systems.
🧪 The Science Behind It
This tool blends:
• Hilbert Transform: Measures the phase of a waveform (price cycle) to detect turning points
• Cosine Phase Energy: Calculates true wave energy using the cosine of the phase angle, revealing the strength behind price movements
• Quantum Modeling: Views price like a wavefunction, offering predictive insight based on phase dynamics
Slope Strength MeterSlope Strength Meter
The Slope Strength Meter Indicator measures the rate of change of the 50‑period Exponential Moving Average to quantify trend strength and momentum. By calculating the slope over a user‑defined number of bars, it translates subtle shifts in market direction into a clear numeric value. Alerts can be triggered when the EMA50’s slope exceeds predefined thresholds, allowing you to:
Identify Accelerating Trends: Spot strong uptrends or downtrends as the slope steepens.
Filter Entries and Exits: Avoid choppy markets by trading only when the EMA50 shows clear directional momentum.
Confirm Trade Setups: Use slope readings in conjunction with price action, support/resistance, or other indicators for higher‑probability signals.
Ideal for traders who want a simple, objective tool to gauge trend dynamics and improve timing on both long and short positions.
Precision Stochastic DivergenceThis indicator is designed to identify potential market turning points and continuations by detecting Regular and Hidden divergences between closing price action and the Stochastic momentum oscillator. It utilizes specific default parameters (Stochastic: 40,4,3; Pivot Lookback: 5,5 based on close) and incorporates specialized filtering logic for signal qualification.
Core Functionality & Features:
Divergence Detection: Identifies standard Regular (potential reversal) and Hidden (potential continuation) divergence patterns. Logic has been optimized for accurate detection of both types.
Precision Filter Mechanism (Regular Divergences): Employs a unique dual-level validation process:
Requires the initial pivot's Stochastic value (%D) to meet Overbought (>80) or Oversold (<20) criteria.
Requires the subsequent pivot's Stochastic value (%D) to reside within a precisely defined range (Default parameterization: Bullish 19-30, Bearish 70-81). This aims to filter divergences based on specific momentum conditions following an initial extreme reading.
Standard Filter (Hidden Divergences): Filters Hidden Divergence signals by requiring both associated Stochastic pivot values to remain outside the primary Overbought/Oversold zones (i.e., >20 for Bullish, <80 for Bearish).
Signal Plotting: Displays 'R' (Regular) and 'H' (Hidden) markers on the chart upon confirmation of filtered divergence conditions. Relevant Stochastic threshold levels and filter range boundaries are plotted for visual reference.
Configuration & Usage Notes:
Parameterization: The default settings (Stochastic: 40,4,3; Pivots: 5,5; Levels: 80/20; Ranges: 19-30 / 70-81) have been specifically calibrated. For optimal performance according to the intended methodology, modification of these core parameters is strongly discouraged.
EMA Filter: Note that EMA trend filtering functionality has been intentionally removed from this version of the indicator.
Applicable Timeframes: While adaptable, performance consistency has been observed on the Hourly (1H) timeframe. Lower intervals such as 6m and 10m are considered optimal secondary timeframes, with 5m and 15m also demonstrating viability depending on market conditions.
Instrument Applicability & Validation:
!!!WARNING FOR GOLD TRADERS!!!
Low time frame spot gold (xauusd) mysteriously proves to give more incorrect signals than every other asset I have tested although higher timeframes like hourlies still signal as intended. The reason MAY be because of not enough testing.
The underlying principle of Stochastic divergence is applicable to various instruments, including Cryptocurrencies (Bitcoin, Ethereum) and Major Indices (SP500, NASDAQ, etc.).
However, the efficiency of this indicator's specific parameterization is contingent upon the volatility profile and price dynamics of the selected instrument.
Mandatory Validation: Rigorous backtesting and/or simulated trading on the specific instrument and timeframe is imperative prior to live deployment. This validation is crucial to ascertain performance characteristics and confirm alignment with individual trading plans and risk management protocols.
By Matthew James
Disclaimer:
Trading involves substantial risk. This indicator serves as an analytical tool and does not constitute financial advice or a guarantee of future results. Users assume full responsibility for their trading decisions. Always employ robust risk management practices.
ATR % (with Threshold Colors) By NorawitATR in Percentage
MA Type
Statistics Data Type
3 Threshold Setting
