Oscylatory
Custom RSI with Pullback LevelsThis is an Custom RSI that has pull back horizontal lines marked at 40 and 60.
Xmoon Trade Indicator PremiumThe Xmoon Trade indicator Premium is an intelligent and precise tool designed to identify trading opportunities based on the Triple Divergence Pattern. By automatically analyzing the market and drawing key lines, this indicator helps traders make optimal 5-stage entries into trades. Additionally, it identifies take profit levels for better trade management and provides risk-free lines to ensure secure exits during volatile market conditions.
Key Features:
Accurate detection of the Triple Divergence Pattern.
Draws entry lines in 5 stages to improve capital management.
Suggests take profit points for maximizing returns.
Provides risk-free lines to avoid losses in high-volatility situations.
Suitable for all trading styles and technical analysts.
Note: This indicator is designed for professional traders and optimized to make trading decisions easier and more effective.
Nebula AIOSThis script—Nebula AIOS —combines several advanced technical indicators into one convenient package. It is designed to help traders identify trends, momentum shifts, and potential trading signals on any chart or timeframe. Below is a summary of each module included:
Keltner Channels
Plots volatility-based channels around a moving average (either SMA or EMA).
Helps determine overbought/oversold conditions and possible trend continuations.
Nadaraya-Watson Regression
Smooths out price data using kernel regression to estimate a “fair value” line.
Includes optional upper/lower bands (based on ATR) for potential breakout or mean-reversion signals.
Colors dynamically shift between bullish and bearish conditions (can be toggled to “smooth” color changes).
Ichimoku Cloud
Displays Conversion Line, Base Line, Lagging Span, and Leading Spans A/B.
Offers a quick view of trend direction and support/resistance zones.
Naked EMAs & Fractals
Plots standard EMA lines (9, 21, 30, 50, 100, 200) plus a 100-period simple moving average.
Optionally shows fractals, which can highlight swing highs and lows.
Buy/Sell Signals & Alerts
Labels “B” and “S” on the chart whenever price crosses under/over the custom NW bands.
Multiple pre-built alertcondition() calls allow you to set alerts for color changes, band crossings, and B/S signals.
Visibility Toggles
Enable or disable each indicator module (Keltner, Nadaraya-Watson, EMAs, Ichimoku) independently.
Lets you unclutter your chart when you only need specific features.
How to Use
Add the script to your TradingView chart.
In the Settings menu, select which modules to display (Keltner, Nadaraya, EMAs, Ichimoku, etc.).
(Optional) Enable or disable fractals, mid-bands, or toggles like “Smooth NW Colors.”
Configure alerts by choosing your preferred alert condition (e.g., “B Signal Triggered,” “S Signal Triggered,” “Bearish Color Change,” etc.) and customizing the alert message or notification method.
Best Practices
Use higher timeframes or combine this with price action analysis to filter out noise.
Understand that some elements (like fractals or kernel regression) can repaint historically, so always confirm signals with other tools or analysis.
Adjust parameters (e.g., ATR lengths, multipliers, fractal periods) to suit each market’s volatility or your personal trading style.
Overall, Nebula AIOS offers a complete, multi-indicator framework for traders seeking versatile trend, momentum, and breakout signals—all in one script. Feel free to experiment with the settings and alerts to tailor the script to your specific strategy and timeframe.
MA RSI MACD Signal SuiteThis Pine Script™ is designed for use in Trading View and generates trading signals based on moving average (MA) crossovers, RSI (Relative Strength Index) signals, and MACD (Moving Average Convergence Divergence) indicators. It provides visual markers on the chart and can be configured to suit various trading strategies.
1. Indicator Overview
The indicator includes signals for:
Moving Averages (MA): It tracks crossovers between different types of moving averages.
RSI: Signals based on RSI crossing certain levels or its signal line.
MACD: Buy and sell signals generated by MACD crossovers.
2. Inputs and Customization
Moving Averages (MAs):
You can customize up to 6 moving averages with different types, lengths, and colors.
MA Type: Choose from different types of moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
HMA (Hull Moving Average)
SMMA (RMA) (Smoothed Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume Weighted Moving Average)
T3, DEMA, TEMA
Source: Select the price to base the MA on (e.g., close, open, high, low).
Length: Define the number of periods for each moving average.
Examples:
MA1: Exponential Moving Average (EMA) with a period of 9
MA2: Exponential Moving Average (EMA) with a period of 21
RSI Settings:
RSI is calculated based on a user-defined period and is used to identify potential overbought or oversold conditions.
RSI Length: Lookback period for RSI (default 14).
Overbought Level: Defines the overbought threshold for RSI (default 70).
Oversold Level: Defines the oversold threshold for RSI (default 30).
You can also adjust the smoothing for the RSI signal line and customize when to trigger buy and sell signals based on the RSI crossing these levels.
MACD Settings:
MACD is used for identifying changes in momentum and trends.
Fast Length: The period for the fast moving average (default 12).
Slow Length: The period for the slow moving average (default 26).
Signal Length: The period for the signal line (default 9).
Smoothing Method: Choose between SMA or EMA for both the MACD and the signal line.
3. Signal Logic
Moving Average (MA) Crossover Signals:
Crossover: A bullish signal is generated when a fast MA crosses above a slow MA.
Crossunder: A bearish signal is generated when a fast MA crosses below a slow MA.
The crossovers are plotted with distinct colors, and the chart will display markers for these crossover events.
RSI Signals:
Oversold Crossover: A bullish signal when RSI crosses over its signal line below the oversold level (30).
Overbought Crossunder: A bearish signal when RSI crosses under its signal line above the overbought level (70).
RSI signals are divided into:
Aggressive (Early) Entries: Signals when RSI is crossing the oversold/overbought levels.
Conservative Entries: Signals when RSI confirms a reversal after crossing these levels.
MACD Signals:
Buy Signal: Generated when the MACD line crosses above the signal line (bullish crossover).
Sell Signal: Generated when the MACD line crosses below the signal line (bearish crossunder).
Additionally, the MACD histogram is used to identify momentum shifts:
Rising to Falling Histogram: Alerts when the MACD histogram switches from rising to falling.
Falling to Rising Histogram: Alerts when the MACD histogram switches from falling to rising.
4. Visuals and Alerts
Plotting:
The script plots the following on the price chart:
Moving Averages (MA): The selected MAs are plotted as lines.
Buy/Sell Shapes: Triangular markers are displayed for buy and sell signals generated by RSI and MACD.
Crossover and Crossunder Markers: Crosses are shown when two MAs crossover or crossunder.
Alerts:
Alerts can be configured based on the following conditions:
RSI Signals: Alerts for oversold or overbought crossover and crossunder events.
MACD Signals: Alerts for MACD line crossovers or momentum shifts in the MACD histogram.
Alerts are triggered when specific conditions are met, such as:
RSI crosses over or under the oversold/overbought levels.
MACD crosses the signal line.
Changes in the MACD histogram.
5. Example Usage
1. Trend Reversal Setup:
Buy Signal: Use the RSI oversold crossover and MACD bullish crossover to identify potential entry points in a downtrend.
Sell Signal: Use the RSI overbought crossunder and MACD bearish crossunder to identify potential exit points or short entries in an uptrend.
2. Momentum Strategy:
Combine MACD and RSI signals to identify the strength of a trend. Use MACD histogram analysis and RSI levels for confirmation.
3. Moving Average Crossover Strategy:
Focus on specific MA crossovers, such as the 9-period EMA crossing above the 21-period EMA, for buy signals. When a longer-term MA (e.g., 50-period) crosses a shorter-term MA, it may indicate a strong trend change.
6. Alerts Conditions
The script includes several alert conditions, which can be triggered and customized based on the user’s preferences:
RSI Oversold Crossover: Alerts when RSI crosses over the signal line below the oversold level (30).
RSI Overbought Crossunder: Alerts when RSI crosses under the signal line above the overbought level (70).
MACD Buy/Sell Crossover: Alerts when the MACD line crosses the signal line for a buy or sell signal.
7. Conclusion
This script is highly customizable and can be adjusted to suit different trading strategies. By combining MAs, RSI, and MACD, traders can gain multiple perspectives on the market, enhancing their ability to identify potential buy and sell opportunities.
EMA 68 with Trailing Stop-Loss 9430018561EMA 68 with Trailing Stop-Loss 9430018561
EMA Crossover ke upar buy and sell
Isme stop loss bhi hain aur traling stop loss bhi
Fusion Of Momentum Oscillator [A0A-Indicator]The "Fusion Of Momentum Oscillator " is an advanced trading tool, meticulously designed and developed by A0A, the original creator and innovator behind this unique script. Combining "Price" and "Interest" metrics, it provides traders with a sophisticated yet intuitive way to analyze market dynamics, offering unmatched clarity and actionable insights.
Key Features
Designed by A0A – Innovation at its Core
- This script reflects the visionary expertise of A0A, integrating proprietary methodologies to deliver an unparalleled trading experience.
Built to empower traders with a seamless blend of simplicity, functionality, and precision.
- Adaptable Timeframe Selection
Supports customizable timeframes to suit various trading strategies—whether you're a day trader, swing trader, or long-term investor.
Adjust the analysis to your preferred timeframe for deeper insights.
- Two Core Metrics for Market Analysis
Price: Tracks and visualizes price momentum with adjustable sensitivity and customizable periods, providing a clear view of trend strength.
Interest: Measures and highlights shifts in market activity, revealing potential areas of increased trading focus.
- Normalized Value Scale
Both metrics are normalized on a scale of -100 to 100, making them easy to interpret and directly comparable.
Offers a clear, standardized perspective on market trends and movements.
- Stunning Visual Representation
Dynamic Color Coding:
Positive and negative values for "Price" are color-coded for immediate trend recognition.
Smooth Transparency:
"Interest" is plotted as a semi-transparent area, drawing attention to key market activity changes.
Reference Levels
Horizontal markers at critical levels (-50, 0, 50) help traders easily identify zones of interest.
- Fully Customizable Aesthetics
Personalize color schemes for "Price" and "Interest" to match your visual preferences.
Create a clear and tailored visual experience that supports your trading workflow.
- Optimized for Speed and Accuracy
Built using efficient algorithms for fast, precise calculations without sacrificing performance.
Provides reliable results, even in fast-moving markets.
Why Choose the A0A Indicator?
Creator’s Legacy
Developed by A0A, this script incorporates expertise and innovation in trading technology.
Actionable Insights
Focuses on delivering signals that are clear, intuitive, and aligned with real-world market behavior.
Adaptability for All Traders
From beginners to professionals, this tool is flexible enough to meet the needs of any trader.
Perfect for Every Trading Style
Trend Followers
Stay on top of market momentum with clear visual cues.
Signal Seekers
Pinpoint potential reversal points and breakout zones with ease.
Strategic Investors
Make data-driven decisions with a focus on market behavior.
Volume Liquidity Oscillator (VLO) Volumen de liquidez.📊 Volume Liquidity Oscillator (VLO)
📌 Descripción del Indicador
El Volume Liquidity Oscillator (VLO) es un oscilador diseñado para analizar el flujo de volumen y la liquidez del mercado. Utiliza un cálculo basado en el Money Flow Index (MFI) modificado, pero en lugar de Open Interest, usa el volumen real del activo seleccionado.
El VLO permite detectar si el volumen está impulsando el precio al alza (acumulación) o a la baja (distribución), ayudando a los traders a confirmar tendencias y detectar posibles cambios de dirección en el mercado.
📊 Cálculo y Funcionamiento
1️⃣ Clasificación del volumen:
Se separa el volumen en alcista (cuando el precio sube) y bajista (cuando el precio baja).
Si hay más volumen en velas alcistas → Se interpreta como acumulación (color azul).
Si hay más volumen en velas bajistas → Se interpreta como distribución (color rojo).
2️⃣ Normalización en un oscilador (-100 a +100):
+100 → Máxima acumulación (fuerza compradora alta).
-100 → Máxima distribución (presión vendedora alta).
0 → Mercado sin dirección clara.
3️⃣ Opciones de Suavizado:
Se puede aplicar una media móvil ponderada (WMA) ajustable.
Opciones recomendadas: 30 (sensible, corto plazo) o 200 (suavizado, largo plazo).
📈 ¿Cómo Interpretarlo?
✅ Acumulación (Zona Azul, Valores Positivos):
Si el VLO está por encima de 0, el volumen está impulsando el precio al alza.
Si el volumen sigue aumentando, confirma la tendencia alcista.
✅ Distribución (Zona Roja, Valores Negativos):
Si el VLO está por debajo de 0, indica que el volumen está acompañando caídas en el precio.
Una fuerte distribución puede anticipar una corrección o cambio de tendencia bajista.
✅ Divergencias con el Precio:
Si el precio sube pero el VLO baja → Posible distribución oculta, señal de debilidad.
Si el precio baja pero el VLO sube → Posible acumulación oculta, señal de fuerza alcista.
✅ Cruce de la Línea 0:
De negativo a positivo → Señal de acumulación, posible inicio de tendencia alcista.
De positivo a negativo → Señal de distribución, posible corrección bajista.
🔥 ¿Para qué mercados es útil?
✔️ Criptomonedas → Para detectar fases de acumulación y distribución en BTC, ETH y altcoins.
✔️ Futuros y Bolsa → Puede aplicarse en futuros de S&P 500, Nasdaq, oro, petróleo, etc.
✔️ Forex → Permite evaluar la fuerza del volumen en pares de divisas.
🎯 Ventajas del VLO frente a otros indicadores
✅ Mejora el Money Flow Index (MFI) al usar volumen real en lugar de Open Interest.
✅ Más preciso que indicadores de volumen simples, ya que mide la liquidez real del mercado.
✅ Filtra señales falsas cuando el volumen no acompaña los movimientos del precio.
✅ Permite ajustar el suavizado con WMA para adaptarlo a diferentes estilos de trading.
🚀 Conclusión
El Volume Liquidity Oscillator (VLO) es una herramienta poderosa para analizar el impacto del volumen en los precios, ayudando a confirmar tendencias y detectar posibles cambios de ciclo. Ideal para traders de cripto, futuros y bolsa que buscan mejorar su análisis de acumulación y distribución.
ROC-Weighted MA Oscillator [SeerQuant]ROC-Weighted MA Oscillator (ROCWMA)
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-based indicator which uniquely combines the Rate of Change (ROC) with customizable moving averages, offering a dynamic oscillator for trend analysis. Featuring z-score normalization and weighted MA integration, the ROCWMA delivers actionable trend signals with customizable thresholds.
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⚙️ How It Works
1️⃣ Rate of Change (ROC) Normalization
The indicator begins with a normalized ROC calculation over a customizable length, transforming raw momentum data into a dynamic range for enhanced analysis.
2️⃣ Weighted Moving Average (MA)
A custom moving average (MA) is calculated using selectable MA types such as TEMA, SMA, EMA, and more. The normalized ROC is then applied as a weight to derive the ROC-Weighted MA (RWMA), blending trend and momentum data.
3️⃣ Z-Score Oscillator
The RWMA is normalized using z-score calculations, resulting in a smoothed oscillator. This process highlights deviations from the mean, identifying overbought and oversold conditions dynamically.
4️⃣ Threshold Logic
Bullish (Uptrend): Oscillator exceeds the positive threshold.
Bearish (Downtrend): Oscillator drops below the negative threshold.
Neutral: Oscillator remains between thresholds.
5️⃣ Dynamic Visual Representation
A color-coded histogram reflects trend strength and direction.
Optional candle coloring visually emphasizes trends on the chart.
Gradient fills enhance clarity of threshold areas.
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✨ Customizable Settings
ROC Settings
Define the ROC length for momentum calculation.
MA Settings
Choose from multiple MA types (TEMA, EMA, SMA, etc.).
Customize the length and data source for MA calculations.
Adjust the signal length for smoothing.
Threshold Settings
Set neutral, bullish, and bearish thresholds to match your strategy.
Style Settings
Toggle candle coloring for visual trend enhancement.
Select from five unique color schemes to suit your chart style.
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🚀 Features and Benefits
Momentum-Weighted Analysis: Combines ROC with advanced moving averages for precise trend evaluation.
Dynamic Thresholds: Z-score-based logic adapts to market conditions.
Visual Clarity: Color-coded histograms, candles, and gradient fills make trend detection intuitive.
Highly Customizable: Flexible inputs and multiple MA types ensure adaptability to various trading styles.
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📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Users should consult a licensed financial advisor before making trading decisions. Use at your own risk.
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8 en 1 SM, DMI, Koncorde, RSI, MACD, CMF, Estocástico y Aroon.Con este indicador podrás ver 8 osciladores diferentes al mismo tiempo y activar o desactivar el que quieras, también personalizarlos. Los osciladores que trae son los siguientes: Squeeze Momentum, DMI, Koncorde, RSI, MACD, CMF, Estocástico y Aroon.
Simple RSI StrategySimple RSI Strategy for Educational Purposes
This Pine Script, built with TradingView's latest version (v6), implements a Simple RSI Strategy designed to highlight overbought and oversold conditions in the market. It leverages the Relative Strength Index (RSI) as a tool to trigger long entries and exits based on user-defined thresholds.
Key Features:
Customizable RSI Parameters: Adjust the RSI length, overbought, and oversold levels to fit different trading scenarios.
Risk Management Parameters: Includes configurable initial capital, position sizing as a percentage of equity, slippage, and commission for realistic backtesting.
Visual Enhancements: Overbought and oversold zones are clearly plotted with gradient fills and color-coded signals for better interpretability.
Signal Triggers: Long entries are initiated when the RSI crosses above the oversold level, and positions are closed when the RSI crosses below the overbought level.
Important Note:
This script is intended solely for educational purposes. While it provides insights into basic RSI-based strategies, it does not account for advanced risk management, market conditions, or position hedging. Users should exercise additional caution and implement comprehensive risk management techniques, such as stop losses and portfolio diversification, when applying similar strategies in live trading.
Backtest results and performance metrics derived from this script may not accurately reflect real-world outcomes due to limitations such as slippage, order execution timing, and market volatility.
Disclaimer: Trading involves significant financial risk. This script is not investment advice. Users should consult with a financial advisor and perform thorough testing before deploying any trading strategy.
This description emphasizes the educational aspect of the script while encouraging traders to incorporate robust risk management practices.
Bottom Detection Monitor**Bottom-Fishing Monitor**
This indicator utilizes the RSI value when it falls below 30. The difference between the RSI value and 30 is accumulated over time. If the RSI value exceeds 30 during this period, the accumulated value is automatically reset to zero, and the calculation starts anew. Once the accumulated value reaches the set threshold, it resets again.
The default threshold is set to 100.
This concept originally emerged from observing one-minute trading charts, where it is particularly suitable for smaller timeframes. In cases of a continuous, strong downward trend on higher timeframes, the threshold might need to be set much higher. This could result in the indicator's graph becoming overly distorted. Additionally, since the volatility characteristics and amplitude vary for different instruments, I’ve made this threshold adjustable for users.
Using the same principle, I’ve also created a similar detection mechanism based on CCI.
Under normal circumstances, this curve stays close to the zero line. However, during a downward trend where RSI falls below 30, the curve starts to rise. When the suddenly increasing curve peaks and then drops back to the zero line, it signals a bottom-fishing opportunity. That said, due to the threshold setting, multiple peaks may appear consecutively. Users should be aware of this in practice and can adjust the threshold to mitigate such occurrences.
This is the beginning of my open-source journey.
I respect creative ideas and redefined expressions.
Thank you, TradingView community, for giving me this opportunity.
RSI Volatility Suppression Zones [BigBeluga]RSI Volatility Suppression Zones is an advanced indicator that identifies periods of suppressed RSI volatility and visualizes these suppression zones on the main chart. It also highlights breakout dynamics, giving traders actionable insights into potential market momentum.
🔵 Key Features:
Detection of Suppression Zones:
Identifies periods where RSI volatility is suppressed and marks these zones on the main price chart.
Breakout Visualization:
When the price breaks above the suppression zone, the box turns aqua, and an upward label is drawn to indicate a bullish breakout.
If the price breaks below the zone, the box turns purple, and a downward label is drawn for a bearish breakout.
Breakouts accompanied by a "+" label represent strong moves caused by short-lived, tight zones, signaling significant momentum.
Wave Labels for Consolidation:
If the suppression zone remains unbroken, a "wave" label is displayed within the gray box, signifying continued price stability within the range.
Gradient Intensity Below RSI:
A gradient strip below the RSI line increases in intensity based on the duration of the suppressed RSI volatility period.
This visual aid helps traders gauge how extended the low volatility phase is.
🔵 Usage:
Identify Breakouts: Use color-coded boxes and labels to detect breakouts and their direction, confirming potential trend continuation or reversals.
Evaluate Market Momentum: Leverage "+" labels for strong breakout signals caused by short suppression phases, indicating significant market moves.
Monitor Price Consolidation: Observe gray boxes and wave labels to understand ongoing consolidation phases.
Analyze RSI Behavior: Utilize the gradient strip to measure the longevity of suppressed volatility phases and anticipate breakout potential.
RSI Volatility Suppression Zones provides a powerful visual representation of RSI volatility suppression, breakout signals, and price consolidation, making it a must-have tool for traders seeking to anticipate market movements effectively.
Relative Risk MetricOVERVIEW
The Relative Risk Metric is designed to provide a relative measure of an asset's price, within a specified range, over a log scale.
PURPOSE
Relative Position Assessment: Visualizes where the current price stands within a user-defined range, adjusted for log scale.
Logarithmic Transformation: Utilizes the natural log to account for a log scale of prices, offering a more accurate representation of relative positions.
Calculation: The indicator calculates a normalized value via the function Relative Price = / log(UpperBound) − log(LowerBound) . The result is a value between 0 and 1, where 0 corresponds to the lower bound and 1 corresponds to the upper bound on a log scale.
VISUALIZATION
The indicator plots three series:
Risk Metric - a plot of the risk metric value that’s computed from an asset's relative price so that it lies within a logarithmic range between 0.0 & 1.0.
Smoothed Risk Metric - a plot of the risk metric that’s been smoothed.
Entry/Exit - a scatter plot for identified entry and exit. Values are expressed as percent and are coded as red being exit and green being entity. E.g., a red dot at 0.02 implies exit 2% of the held asset. A green dot at 0.01 implies use 1% of a designated capital reserve.
USAGE
Risk Metric
The risk metric transformation function has several parameters. These control aspects such as decay, sensitivity, bounds and time offset.
Decay - Acts as an exponent multiplier and controls how quickly dynamic bounds change as a function of the bar_index.
Time Offset - provides a centering effect of the exponential transformation relative to the current bar_index.
Sensitivity - controls how sensitive to time the dynamic bound adjustments should be.
Baseline control - Serves as an additive offset for dynamic bounds computation which ensures that bounds never become too small or negative.
UpperBound - provides headroom to accomodate growth an assets price from the baseline. For example, an upperbound of 3.5 accommodates a 3.5x growth from the baseline value (e.g., $100 -> $350).
LowerBound - provides log scale compression such that the overall metric provides meaningful insights for prices well below the average whilst avoiding extreme scaling. A lowerbound of 0.25 corresponds to a price that is approx one quarter of a normalised baseline in a log context.
Weighted Entry/Exit
This feature provides a weighted system for identifying DCA entry and exit. This weighting mechanism adjusts the metric's interpretation to highlight conditions based on dynamic thresholds and user-defined parameters to identify high-probability zones for entry/exit actions and provide risk-adjusted insights.
Weighting Parameters
The weighting function supports fine-tuning of the computed weighted entry/exit values
Base: determines the foundational multiplier for weighting the entry/exit value. A higher base amplifies the weighting effect, making the weighted values more pronounced. It acts as a scaling factor to control the overall magnitude of the weighting.
Exponent: adjusts the curve of the weighting function. Higher exponent values increase sensitivity, emphasizing differences between risk metric values near the entry or exit thresholds. This creates a steeper gradient for the computed entry/exit value making it more responsive to subtle shifts in risk levels.
Cut Off: specifies the maximum percentage (expressed as a fraction of 1.0) that the weighted entry/exit value can reach. This cap ensures the metric remains within a meaningful range and avoids skewing
Exit condition: Defines a threshold for exit. When the risk metric is below the exit threshold (but above the entry threshold) then entry/exit is neutral.
Entry condition: Defines a threshold for entry. When the risk metric is above the entry threshold (but below the exit threshold) then entry/exit is neutral.
Weighting Behaviour
For entry conditions - value is more heavily weighted as the metric approaches the entry threshold, emphasizing lower risk levels.
For exit conditions - value is more heavily weighted as the metric nears the exit threshold, emphasizing increased risk levels.
USE-CASES
Identifying potential overbought or oversold conditions within the specified logarithmic range.
Assisting in assessing how the current price compares to historical price levels on a logarithmic scale.
Guiding decision-making processes by providing insights into the relative positioning of prices within a log context
CONSIDERATIONS
Validation: It's recommended that backtesting over historical data be done before acting on any identified entry/exit values.
User Discretion: This indicator focus on price risk. Consider other risk factors and general market conditions as well.
Four RSI hajianاین اندیکاتور توسط 4 اندیکاتور ار اس ای تحلیل را انجام داده و در نقاط اشبا برای شما سیگنال صادر میکند
Dual EMA Proportion Variance | JeffreyTimmermansDual EMA Proportion Variance
The "Dual EMA Proportion Variance" Indicator provides a robust way to analyze price trends, volatility, and momentum using dual EMA calculations combined with percentile-based thresholds. This approach enables traders to identify significant bullish and bearish trends while incorporating smoothing and tailoring options for better adaptability.
Key Features
Dual EMA with Proportion Variance
DEMA Calculation: Computes the Dual Exponential Moving Average (DEMA) based on a user-defined length and source.
Proportion Thresholds: Uses percentile-based thresholds (e.g., 60/45, 60/40, 55/45, or 55/40) to determine upper and lower bounds for trend detection. Percentile thresholds help identify key levels of market behavior based on historical data.
Momentum and Volatility Analysis
Momentum Calculation: Computes momentum based on proximity to percentile levels, smoothed using a simple moving average (SMA) if enabled.
Volatility Incorporation: Uses the standard deviation (SD) of the lower percentile (PerDown) to define additional levels of significance.
Smoothing and Trend Calculation
Smoothing Options: Enables optional smoothing for momentum and trend values, helping reduce noise.
EMA Confluence: Adds an additional EMA overlay to enhance the trend confirmation process.
Customizable Visuals
Background Coloring: Dynamically changes the background color based on trend direction (bullish or bearish).
Momentum Plotting: Displays smoothed momentum and EMA confluence lines on the chart, with clear visual differentiation.
Alerts
Bullish Signal: Triggers when the trend transitions from neutral or bearish to bullish.
Bearish Signal: Triggers when the trend transitions from neutral or bullish to bearish.
Inputs Overview
DEMA Inputs
Length (DemaLen): Defines the length of the Dual EMA calculation.
Source (DemaSrc): Allows selection of price data (e.g., high, low, close) for the DEMA computation.
Proportion Settings
Proportion Length (PerLen): Defines the lookback period for percentile calculations.
Proportion Type (pertype): Choose from predefined combinations (e.g., 60/45, 60/40) to customize thresholds.
Smoothing Options
Enable Smoothing (UseSmoothing): Toggle to enable or disable smoothing.
Smoothing Length (SmoothingLen): Specifies the lookback period for smoothing.
Standard Deviation
Length (SDlen): Length of the lookback period used to calculate the standard deviation.
Tailoring
Bullish/Bearish Colors (ColUp/ColDown): Customizable colors for bullish and bearish trends.
Background Colors (ShowBGCol): Toggle to enable or disable background coloring.
Momentum Plot (PlotMomentum): Toggle to show or hide the momentum plot.
EMA Confluence
Enable Extra EMA (IncludeEma): Adds an additional EMA layer for trend confirmation.
Length (EmaLen): Defines the length of the EMA.
Indicator Behavior
Trend Detection
Bullish Trend: When the smoothed momentum (smoothedPT) is above zero and higher than the EMA (if enabled).
Bearish Trend: When the smoothed momentum is below zero and lower than the EMA (if enabled).
Signal Generation
Bullish Signal: Triggered on a crossover of smoothedTrend from negative to positive.
Bearish Signal: Triggered on a crossunder of smoothedTrend from positive to negative.
Customizations
Percentile Adjustments: Choose from various proportion thresholds to suit specific market conditions.
Smoothing Options: Fine-tune the level of noise reduction by adjusting smoothing parameters.
Visual Tailoring: Customize chart visuals, including colors, momentum plots, and background highlights.
EMA Inclusion: Optionally enable the extra EMA for more conservative trend confirmation.
Use Cases
Momentum Trading: Identify bullish or bearish momentum shifts based on percentile levels.
Volatility Assessment: Incorporate standard deviation levels to evaluate price volatility.
Trend Following: Align trades with dominant market trends using percentile thresholds and EMA confirmation.
Alerts for Automation: Set alerts for real-time notifications of potential trade opportunities.
This indicator provides flexibility and precision, making it suitable for a variety of trading styles, including trend following, swing trading, and momentum-based strategies.
This script is inspired by "Patito_1" . However, it is more advanced and includes additional features and options.
-Jeffrey
MCDX_SignalThe MCDX indicator (Market Cycle Dynamic Index) is a technical indicator developed by Trung Pham. It is a tool used for analyzing the stock market, often utilized to identify big money flow (Big Money) and evaluate the strength of individual stocks or the overall market.
MCDX is known for its distinctive histogram chart with red and green bars. The red bars typically represent the inflow of big money, while the green bars indicate small money flow or outflows.
Briss Thorn XtremeStrategy Description: Briss Thorn Xtreme
The Briss Thorn Xtreme is an innovative trading strategy designed to identify and capitalize on opportunities in the forex market through advanced technical analysis and dynamic risk management. This strategy combines calculations based on RSI and ATR with time and day filters, providing customized signals and real-time alerts via Discord. Ideal for traders seeking a structured and highly customizable methodology, Briss Thorn Xtreme integrates enhanced visual tools for efficient trade management.
Key Features:
RSI and ATR-Based Signals: Utilizes smoothed RSI and ATR calculations to identify trends and measure volatility, allowing for more precise detection of buy and sell opportunities.
Dynamic Stop-Loss (SL) and Take-Profit (TP) Levels: Automatically calculates SL and TP levels based on market volatility, dynamically adjusting to optimize risk management.
Advanced Discord Integration: Sends detailed alerts to your Discord channel, including information such as the asset, signal time, entry price, and SL/TP levels, facilitating real-time decision-making.
Complete Customization: Allows users to adjust key parameters such as RSI periods, smoothing factors, liquidity thresholds, trading schedules, and operation days, adapting to different trading styles and market conditions.
Enhanced Chart Visualization: Includes visual elements like candle color changes based on trend, colored boxes for SL and TP, and a summary table of recent trades, enabling quick market interpretation.
Day and Time Operation Filters: Enables selection of specific days of the week and time slots during which signals are generated, optimizing market exposure and avoiding periods of low liquidity or unwanted high volatility.
Trade Summary: Displays a summary of the last three trades directly on the chart, indicating whether TP or SL was reached, aiding in strategy performance evaluation.
Customizable Alert Messages: Allows customization of messages sent to Discord for buy and sell signals, tailoring them to your specific preferences and requirements.
Additional Visual Tools: Highlights the operational range on the chart during permitted trading hours and colors candles based on the current trend (bullish, bearish, or neutral), enhancing visibility and decision-making.
How the Strategy Works:
Technical Indicators Calculation:
- RSI (Relative Strength Index) : Calculates RSI with a defined period and smooths it using an Exponential Moving Average (EMA) to obtain a more stable and reliable signal.
- ATR (Average True Range) : Calculates ATR adjusted by a rapid liquidity factor to measure the current market volatility, thereby determining the strength of the trend.
Generating Buy and Sell Signals:
- Buy Signal: A buy signal is generated when the liquidity index surpasses the short liquidity level, indicating potential accumulation and an upward trend.
- Sell Signal: A sell signal is generated when the liquidity index falls below the long liquidity level, indicating potential distribution and a downward trend.
- Operation Conditions: Signals are only generated on selected days and times, avoiding periods of low liquidity or unwanted high volatility.
Dynamic SL and TP Levels Calculation:
- Stop-Loss (SL) and Take-Profit (TP): SL and TP levels are calculated based on the entry price and a defined number of ticks, automatically adjusting to market volatility to optimize risk management.
- SL and TP Visualization: Colored boxes are drawn on the chart for a clear visual reference of SL and TP levels, facilitating trade management.
Automatic Execution and Alerts:
- Order Execution: Upon signal generation, the strategy automatically executes a market order (buy or sell).
- Discord Alerts: Detailed alerts are sent to the configured Discord channel, providing essential information for swift decision-making, including asset, signal time, entry price, current volatility (ATR), and trend direction.
Trade Management and Monitoring:
- Trade Summary: A table on the chart displays a summary of the last three trades (Today, Yesterday, Day Before Yesterday), indicating whether TP or SL was reached, allowing real-time performance evaluation.
- Automatic Trade Closure: The strategy automatically closes trades upon reaching the established SL or TP levels, ensuring efficient risk management and preventing excessive losses.
Additional Visualization:
- Candle Coloring by Trend: Candles are colored based on the current trend (bullish, bearish, or neutral), facilitating quick identification of market direction.
- Operational Range Highlighting: The chart background is colored during permitted trading hours, highlighting active periods of the strategy and enhancing trade visibility.
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Strategy Properties (Important)
This backtest is conducted on M17 EURUSD using the following backtesting properties:
Initial Capital: $1000
Order Size: 1% of capital
Commission: $0.20 per order
Slippage: 1 tick
Pyramiding: 1 order
Price Verification for Limit Orders: 0 ticks
Recalculate on Order Execution: Enabled
Recalculate on Every Tick: Enabled
Recalculate After Order Execution: Enabled
Bar Magnifier for Backtesting Precision: Enabled
These properties ensure a realistic preview of the backtesting system. Note that default properties may vary for different reasons:
Order Size: It is essential to calculate the contract size according to the traded asset and desired risk level.
Commission and Slippage: These costs may vary depending on the market and instrument; there is no default value that guarantees realistic results.
All users are strongly recommended to adjust the properties within the script settings to align them with their trading accounts and platforms, ensuring that strategy results are realistic.
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Backtesting Results:
- Net Profit: $327.90 (32.79%)
- Total Closed Trades: 162
- Profit Percentage: 35.80%
- Profit Factor: 1.298
- Maximum Drawdown: $146.70 (10.27%)
- Average per Trade: $2.02 (0.02%)
- Average Bars per Trade: 22
These results were obtained under the mentioned conditions and properties, providing an overview of the strategy's historical performance.
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Interpretation of Results:
- The strategy has demonstrated profitability over the analyzed period, albeit with a success rate of 32.79%, indicating that success depends on a favorable risk-reward ratio.
- The profit factor of 1.298 suggests that total gains exceed total losses by this proportion.
- It is crucial to consider the maximum drawdown of 10.27% when evaluating the strategy's suitability to your risk tolerance.
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Risk Warning:
Trading with leveraged financial instruments involves a high level of risk and may not be suitable for all investors. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk tolerance. Past performance does not guarantee future results. It is essential to perform additional testing and adjust the strategy according to your needs.
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What Makes This Strategy Original?
Unique RSI and Liquidity Focus: Unlike conventional strategies, Briss Thorn Xtreme focuses on combining RSI analysis with liquidity parameters to reflect institutional activity and macroeconomic events that may influence the market.
Advanced Technological Integration: The combination of automatic execution and customized alerts via Discord provides an efficient and modern tool for active traders.
Customization and Adaptability: The wide range of adjustable parameters allows the strategy to adapt to different assets, time zones, and trading styles, offering flexibility and complete user control.
Enhanced Visual Tools: Integrated visual elements, such as candle coloring, SL/TP boxes, and summary tables, facilitate quick market interpretation and informed decision-making.
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Additional Considerations
Continuous Testing and Optimization: Users are advised to perform additional backtests and optimize parameters based on their own observations and requirements.
Complementary Analysis: Use this strategy in conjunction with other indicators and fundamental analysis tools to reinforce decision-making and confirm generated signals.
Rigorous Risk Management: Ensure that SL and TP levels, as well as position sizes, are aligned with your risk management plan to avoid excessive losses.
Updates and Support: I am committed to providing updates and improvements based on community feedback. For inquiries or suggestions, feel free to contact me.
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Example Configuration
Assuming you want to use the strategy with the following parameters:
Discord Webhook: Your unique Discord Webhook
RSI Period: 6
RSI Smoothing Factor: 5
Rapid Liquidity Factor: 5
Liquidity Threshold: 5
SL Ticks: 100
TP Ticks: 250
SL/TP Box Width: 25 bars
Trading Days: Monday, Tuesday, Wednesday, Thursday, Friday
Trading Hours: Start at 8:00, End at 11:00
Simulated Initial Capital: $1000
Risk per Trade in Simulation: 1% of capital
Slippage and Commissions in Simulation: 1 tick slippage and $0.20 commission per trade
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Conclusion
The Briss Thorn Xtreme strategy offers an innovative approach by combining advanced technical analysis with dynamic risk management and modern technological tools. Its original and adaptable design makes it a valuable tool for traders looking to diversify their methods and capitalize on opportunities based on less conventional patterns. Ready for immediate implementation in TradingView, this strategy can enhance your trading arsenal and contribute to a more informed and structured approach in your operations.
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Final Disclaimer:
Financial markets are volatile and can present significant risks. This strategy should be used as part of a comprehensive trading approach and does not guarantee positive results. It is always advisable to consult with a professional financial advisor before making investment decisions.
[blackcat] L1 Small Wave Operation L1 Small Wave Operation
Overview
Are you looking to catch those elusive small waves in the market? Look no further than " L1 Small Wave Operation." This script offers a unique way to identify potential buying opportunities by analyzing price movements, volume changes, and trend directions. With customizable inputs and clear visual indicators, it’s designed to help traders spot favorable entry points with precision.
Features
Dynamic Signal Identification: Automatically detects two types of buy signals labeled "S" and "B."
Adaptable Parameters: Allows users to adjust low period, high period, EMA periods, SMA period, and various threshold values to fine-tune the strategy.
Visual Clarity: Plots K and D lines along with four distinct threshold levels for easy visualization.
Condition-Based Signals: Uses multiple conditions including volume increases, price actions, and crossover events to confirm signals.
How It Works
Calculate Percent Range: Determines where the current closing price lies within the recent low and high range.
Compute Moving Averages: Calculates Exponential Moving Average (EMA) and Simple Moving Average (SMA) of the percent range.
Define Conditions: Checks for bullish or strong bullish patterns, uptrends, and specific crossover events between K and D lines.
Generate Signals: Marks potential buying opportunities when predetermined conditions are met.
How To Use
Add this script to your TradingView chart.
Adjust the input parameters according to your preferred settings.
Monitor the plotted lines and look for "S" and "B" labels indicating buy signals.
Consider incorporating these signals into a broader trading strategy that includes risk management techniques.
What Makes It Special
Flexibility: Users can easily modify parameters to adapt the script to different markets or personal preferences.
Automation: Saves time by automatically scanning for trade setups based on predefined rules.
Comprehensive Analysis: Combines multiple factors like volume, price action, and moving averages to provide reliable signals.
Limitations
Past performance does not guarantee future results.
Market conditions can vary, affecting signal reliability.
Not suitable for very short-term trades without additional refinements.
Notes
Always perform backtesting on historical data before implementing live trades.
Understand the underlying logic of the script to avoid misinterpretation of signals.
Regularly review and adjust parameters based on changing market dynamics.
Price & Stochastics DivergenceOverview
This indicator is designed to help traders quickly identify both regular and hidden divergences between price and the Stochastic (K) line. It automatically locates potential turning points (pivots) on the chart, compares them to pivots on the Stochastic oscillator, and then flags divergences that could signal a shift or continuation in market momentum.
How It Works:
Pivot Detection
The script identifies swing highs and lows on both the chart’s closing prices and the Stochastic oscillator using a user-defined “lookback” period. This allows for flexible sensitivity to price swings.
Divergence Conditions:
Regular Bullish Divergence: Price makes a lower low, while Stochastic makes a higher low.
Regular Bearish Divergence: Price makes a higher high, while Stochastic makes a lower high.
Hidden Bullish Divergence: Price makes a higher low, while Stochastic makes a lower low.
Hidden Bearish Divergence: Price makes a lower high, while Stochastic makes a higher high.
Extended Horizontal Lines
Bullish Divergence: A green horizontal line is drawn at the lowest price among the current bar and the previous 3 bars.
Bearish Divergence: A red horizontal line is drawn at the highest price among the current bar and the previous 3 bars.
Labeling & Visualization
For each identified divergence, the script places a label indicating whether it’s “Bullish Div,” “H. Bullish Div,” “Bearish Div,” or “H. Bearish Div.” This makes it easy to see exactly where divergences occur.
How to Use
Add the Indicator: Simply attach it to any chart. It will automatically detect and highlight divergences.
Interpretation: A bullish divergence may suggest potential upward price pressure, while a bearish divergence may hint at downward pressure. Hidden divergences often signal continuation of the prevailing trend.
Combine with Other Analysis: Divergences are not foolproof. It’s often wise to use them alongside other technical tools, such as support/resistance, volume analysis, or trend filters.
Notes & Disclaimer
Delay: The built-in pivot functions confirm pivot highs/lows after several bars, so divergences appear once those pivots are finalized. This is normal and helps avoid repainting signals prematurely.
Educational Use Only: This script is intended to provide visual guidance for divergence analysis. It does not constitute financial or investment advice. Always conduct thorough research and consider multiple factors before making any trading decisions.
No Guarantee: As with any technical tool, there is no guarantee of accuracy or future results. Divergence signals can fail in fast-moving or choppy markets.
Use this indicator as part of a broader strategy to better understand potential momentum shifts or continuations. Always practice responsible risk management. Enjoy and trade safe
RSI Toolkitᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ɪɴᴅɪᴄᴀᴛᴏʀ ɪꜱ ᴀ ᴛʀᴀᴅɪɴɢ ᴛᴏᴏʟ ᴅᴇꜱɪɢɴᴇᴅ ᴛᴏ ᴩʀᴏᴠɪᴅᴇ ᴛʀᴀᴅᴇʀꜱ ᴡɪᴛʜ ᴅʏɴᴀᴍɪᴄ ɪɴꜱɪɢʜᴛꜱ ɪɴᴛᴏ ᴍᴀʀᴋᴇᴛ ᴄᴏɴᴅɪᴛɪᴏɴꜱ ᴜꜱɪɴɢ ᴛʜᴇ ʀᴇʟᴀᴛɪᴠᴇ ꜱᴛʀᴇɴɢᴛʜ ɪɴᴅᴇx (ʀꜱɪ) . ᴛʜᴇ ɪɴᴅɪᴄᴀᴛᴏʀ ɪɴᴛᴇɢʀᴀᴛᴇꜱ ᴍᴜʟᴛɪᴩʟᴇ ꜰᴇᴀᴛᴜʀᴇꜱ ᴀɴᴅ ᴇɴʜᴀɴᴄᴇᴍᴇɴᴛꜱ, ꜱᴜᴄʜ ᴀꜱ ᴍᴜʟᴛɪ-ᴛɪᴍᴇꜰʀᴀᴍᴇ ᴀɴᴀʟʏꜱɪꜱ, ᴀᴅᴠᴀɴᴄᴇᴅ ᴠɪꜱᴜᴀʟ ꜱᴛʏʟɪɴɢ ᴏᴩᴛɪᴏɴꜱ, ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩꜱ, ᴀɴᴅ ꜰᴏᴜʀ ᴅɪꜰꜰᴇʀᴇɴᴛ ꜱɪɢɴᴀʟ ɢᴇɴᴇʀᴀᴛɪᴏɴ ᴍᴏᴅᴇꜱ. ᴛʜɪꜱ ᴍᴀᴋᴇꜱ ɪᴛ ᴀɴ ɪᴅᴇᴀʟ ᴛᴏᴏʟ ꜰᴏʀ ᴛʀᴀᴅᴇʀꜱ ʟᴏᴏᴋɪɴɢ ᴛᴏ ɪᴅᴇɴᴛɪꜰʏ ᴏᴠᴇʀʙᴏᴜɢʜᴛ/ᴏᴠᴇʀꜱᴏʟᴅ ᴄᴏɴᴅɪᴛɪᴏɴꜱ, ʀᴇᴠᴇʀꜱᴀʟꜱ, ᴛʀᴇɴᴅ ᴄᴏɴᴛɪɴᴜᴀᴛɪᴏɴꜱ, ᴀɴᴅ ᴍᴏᴍᴇɴᴛᴜᴍ-ᴅʀɪᴠᴇɴ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ.
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ᴋᴇʏ ꜰᴇᴀᴛᴜʀᴇꜱ
1. ᴍᴜʟᴛɪ-ᴛɪᴍᴇꜰʀᴀᴍᴇ ʀꜱɪ
ᴛʜᴇ ʀꜱɪ ɪꜱ ᴄᴀʟᴄᴜʟᴀᴛᴇᴅ ʙᴀꜱᴇᴅ ᴏɴ ᴀ ᴜꜱᴇʀ-ᴅᴇꜰɪɴᴇᴅ ᴛɪᴍᴇꜰʀᴀᴍᴇ, ᴀʟʟᴏᴡɪɴɢ ꜰᴏʀ ᴄʀᴏꜱꜱ-ᴛɪᴍᴇꜰʀᴀᴍᴇ ᴀɴᴀʟʏꜱɪꜱ. ᴛʜɪꜱ ᴇɴꜱᴜʀᴇꜱ ᴛʜᴇ ɪɴᴅɪᴄᴀᴛᴏʀ ᴀʟɪɢɴꜱ ᴡɪᴛʜ ᴛʜᴇ ᴜꜱᴇʀ'ꜱ ᴛʀᴀᴅɪɴɢ ꜱᴛʀᴀᴛᴇɢʏ, ᴡʜᴇᴛʜᴇʀ ɪɴᴛʀᴀᴅᴀʏ ᴏʀ ʟᴏɴɢ-ᴛᴇʀᴍ.
2. ᴅʏɴᴀᴍɪᴄ ᴠɪꜱᴜᴀʟɪᴢᴀᴛɪᴏɴ ᴏᴩᴛɪᴏɴꜱ
ᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ᴏꜰꜰᴇʀꜱ ᴀᴅᴠᴀɴᴄᴇᴅ ɢʀᴀᴅɪᴇɴᴛ-ʙᴀꜱᴇᴅ ʀꜱɪ ᴠɪꜱᴜᴀʟɪᴢᴀᴛɪᴏɴ ᴏᴩᴛɪᴏɴ ᴛᴏ ʜᴇʟᴩ ᴛʀᴀᴅᴇʀꜱ ꞯᴜɪᴄᴋʟʏ ᴀꜱꜱᴇꜱꜱ ᴍᴀʀᴋᴇᴛ ꜱᴇɴᴛɪᴍᴇɴᴛ:
ɴᴏɴᴇ : ʙᴀʀꜱ ᴀʀᴇ ɴᴏᴛ ᴄᴏʟᴏʀᴇᴅ.
ɢʀᴀᴅɪᴇɴᴛ : ʙᴀʀꜱ ᴀʀᴇ ᴄᴏʟᴏʀᴇᴅ ᴅʏɴᴀᴍɪᴄᴀʟʟʏ ʙᴀꜱᴇᴅ ᴏɴ ᴛʜᴇ ʀꜱɪ'ꜱ ᴩᴏꜱɪᴛɪᴏɴ ᴡɪᴛʜɪɴ ɪᴛꜱ ʀᴀɴɢᴇ.
3. ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ
ᴀ ʙᴜɪʟᴛ-ɪɴ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ꜰᴇᴀᴛᴜʀᴇ ᴅʏɴᴀᴍɪᴄᴀʟʟʏ ᴀᴅᴊᴜꜱᴛꜱ ꜱᴛᴏᴩ-ʟᴏꜱꜱ ʟᴇᴠᴇʟꜱ ʙᴀꜱᴇᴅ ᴏɴ ᴩʀɪᴄᴇ ᴍᴏᴠᴇᴍᴇɴᴛꜱ. ᴛʜɪꜱ ʜᴇʟᴩꜱ ᴩʀᴏᴛᴇᴄᴛ ᴩʀᴏꜰɪᴛꜱ ᴀɴᴅ ʀᴇᴅᴜᴄᴇ ʀɪꜱᴋ ꜰᴏʀ ᴀᴄᴛɪᴠᴇ ᴩᴏꜱɪᴛɪᴏɴꜱ.
4. ꜱɪɢɴᴀʟ ᴍᴏᴅᴇꜱ
ᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ᴏꜰꜰᴇʀꜱ ꜰᴏᴜʀ ᴅɪꜱᴛɪɴᴄᴛ ꜱɪɢɴᴀʟ-ɢᴇɴᴇʀᴀᴛɪᴏɴ ᴍᴏᴅᴇꜱ ᴛᴏ ᴄᴀᴛᴇʀ ᴛᴏ ᴅɪꜰꜰᴇʀᴇɴᴛ ᴛʀᴀᴅɪɴɢ ꜱᴛʏʟᴇꜱ:
ʀᴇᴠᴇʀꜱᴀʟ : ɪᴅᴇɴᴛɪꜰɪᴇꜱ ᴋᴇʏ ʀᴇᴠᴇʀꜱᴀʟ ᴩᴏɪɴᴛꜱ ʙʏ ᴛʀᴀᴄᴋɪɴɢ ᴏᴠᴇʀʙᴏᴜɢʜᴛ/ᴏᴠᴇʀꜱᴏʟᴅ ᴄᴏɴᴅɪᴛɪᴏɴꜱ ᴀɴᴅ ᴩʟᴏᴛᴛɪɴɢ ꜱɪɢɴᴀʟꜱ ᴡʜᴇɴ ʀꜱɪ ᴛʀᴇɴᴅꜱ ʀᴇᴠᴇʀꜱᴇ.
ʜᴀʟꜰ-ʟɪꜰᴇ : ᴄᴀᴩᴛᴜʀᴇꜱ ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴏʀ ᴏᴠᴇʀꜱᴏʟᴅ ꜱᴛʀᴇᴀᴋꜱ (ᴇ.ɢ., ʟᴏɴɢ ʀꜱɪ ꜱᴛʀᴇᴀᴋꜱ) ᴀɴᴅ ɢᴇɴᴇʀᴀᴛᴇꜱ ᴍɪᴅ-ᴩᴏɪɴᴛ ᴛʀᴀᴅɪɴɢ ꜱɪɢɴᴀʟꜱ ʙᴀꜱᴇᴅ ᴏɴ ᴩʀɪᴄᴇ ᴄᴏɴꜱᴏʟɪᴅᴀᴛɪᴏɴꜱ.
ʙᴏᴜɴᴄᴇ : ɪᴅᴇɴᴛɪꜰɪᴇꜱ ʙᴏᴜɴᴄᴇ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ ᴀꜰᴛᴇʀ ꜱᴜꜱᴛᴀɪɴᴇᴅ ʀꜱɪ ʟᴇᴠᴇʟꜱ (ᴇ.ɢ., ᴩʀɪᴄᴇ ʀᴇᴊᴇᴄᴛɪᴏɴꜱ ᴏʀ ɪɴᴠᴀʟɪᴅ ʙʀᴇᴀᴋᴏᴜᴛꜱ ᴀʀᴏᴜɴᴅ ᴏᴠᴇʀꜱᴏʟᴅ/ᴏᴠᴇʀʙᴏᴜɢʜᴛ ʟᴇᴠᴇʟꜱ).
ꜰᴏᴍᴏ : ᴅᴇᴛᴇᴄᴛꜱ ᴩʀᴏʟᴏɴɢᴇᴅ ᴏᴠᴇʀʙᴏᴜɢʜᴛ/ᴏᴠᴇʀꜱᴏʟᴅ ʀꜱɪ ʟᴇᴠᴇʟꜱ ᴀɴᴅ ʜɪɢʜʟɪɢʜᴛꜱ ʙʀᴇᴀᴋᴏᴜᴛ ᴛʀᴀᴅɪɴɢ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ ᴅʀɪᴠᴇɴ ʙʏ ᴍᴏᴍᴇɴᴛᴜᴍ.
5. ᴀʟᴇʀᴛꜱ
ɪɴᴛᴇɢʀᴀᴛᴇᴅ ᴛʀᴀᴅɪɴɢᴠɪᴇᴡ ᴀʟᴇʀᴛꜱ ꜰᴏʀ ᴀʟʟ ꜱɪɢɴᴀʟ ᴛʏᴩᴇꜱ (ʀᴇᴠᴇʀꜱᴀʟ, ʜᴀʟꜰ-ʟɪꜰᴇ, ʙᴏᴜɴᴄᴇ, ꜰᴏᴍᴏ) ᴇɴꜱᴜʀᴇ ᴛʜᴀᴛ ᴜꜱᴇʀꜱ ɴᴇᴠᴇʀ ᴍɪꜱꜱ ᴀ ᴛʀᴀᴅɪɴɢ ᴏᴩᴩᴏʀᴛᴜɴɪᴛʏ. ᴀᴅᴅɪᴛɪᴏɴᴀʟ ᴀʟᴇʀᴛꜱ ᴀʀᴇ ᴀᴠᴀɪʟᴀʙʟᴇ ꜰᴏʀ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ʟᴏꜱꜱᴇꜱ .
6. ʜɪɢʜʟʏ ᴄᴏɴꜰɪɢᴜʀᴀʙʟᴇ
ʀꜱɪ ᴩᴀʀᴀᴍᴇᴛᴇʀꜱ ꜱᴜᴄʜ ᴀꜱ ᴩᴇʀɪᴏᴅ , ᴏᴠᴇʀʙᴏᴜɢʜᴛ/ᴏᴠᴇʀꜱᴏʟᴅ ᴛʜʀᴇꜱʜᴏʟᴅꜱ , ᴀɴᴅ ᴛɪᴍᴇꜰʀᴀᴍᴇꜱ ᴄᴀɴ ʙᴇ ᴄᴜꜱᴛᴏᴍɪᴢᴇᴅ.
ꜱɪɢɴᴀʟ ʙᴇʜᴀᴠɪᴏʀ ᴀɴᴅ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ꜱᴇɴꜱɪᴛɪᴠɪᴛʏ ᴀʀᴇ ꜰᴜʟʟʏ ᴀᴅᴊᴜꜱᴛᴀʙʟᴇ, ᴀʟʟᴏᴡɪɴɢ ᴛʀᴀᴅᴇʀꜱ ᴛᴏ ᴛᴀɪʟᴏʀ ᴛʜᴇ ɪɴᴅɪᴄᴀᴛᴏʀ ᴛᴏ ᴛʜᴇɪʀ ꜱᴩᴇᴄɪꜰɪᴄ ᴛʀᴀᴅɪɴɢ ꜱᴛʏʟᴇ.
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ɪɴᴩᴜᴛꜱ & ᴩᴀʀᴀᴍᴇᴛᴇʀꜱ
1. ɢᴇɴᴇʀᴀʟ ꜱᴇᴛᴛɪɴɢꜱ
ᴛɪᴍᴇ ꜰʀᴀᴍᴇ : ꜱᴇʟᴇᴄᴛ ᴀ ᴄᴜꜱᴛᴏᴍ ᴛɪᴍᴇꜰʀᴀᴍᴇ ᴛᴏ ᴄᴀʟᴄᴜʟᴀᴛᴇ ʀꜱɪ, ᴡʜɪᴄʜ ᴄᴀɴ ᴅɪꜰꜰᴇʀ ꜰʀᴏᴍ ᴛʜᴇ ᴄʜᴀʀᴛ’ꜱ ᴍᴀɪɴ ᴛɪᴍᴇꜰʀᴀᴍᴇ.
ᴄᴏʟᴏʀ ᴏᴩᴛɪᴏɴ : ᴄʜᴏᴏꜱᴇ ʜᴏᴡ ʙᴀʀꜱ ᴀʀᴇ ᴠɪꜱᴜᴀʟʟʏ ꜱᴛʏʟᴇᴅ:
- `ɴᴏɴᴇ`: ɴᴏ ꜱᴩᴇᴄɪᴀʟ ᴄᴏʟᴏʀɪɴɢ.
- `ɢʀᴀᴅɪᴇɴᴛ`: ʀꜱɪ-ʙᴀꜱᴇᴅ ɢʀᴀᴅɪᴇɴᴛ ᴄᴏʟᴏʀɪɴɢ ꜰᴏʀ ᴛʀᴇɴᴅ ꜱᴛʀᴇɴɢᴛʜ ᴠɪꜱᴜᴀʟɪᴢᴀᴛɪᴏɴ.
2. ʀꜱɪ ꜱᴇᴛᴛɪɴɢꜱ
ᴩᴇʀɪᴏᴅ : ᴅᴇꜰᴀᴜʟᴛ ʀꜱɪ ᴄᴀʟᴄᴜʟᴀᴛɪᴏɴ ᴩᴇʀɪᴏᴅ (14 ʙʏ ᴅᴇꜰᴀᴜʟᴛ).
ᴏᴠᴇʀʙᴏᴜɢʜᴛ ʟᴇᴠᴇʟ : ʀꜱɪ ᴛʜʀᴇꜱʜᴏʟᴅ ꜰᴏʀ ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴄᴏɴᴅɪᴛɪᴏɴꜱ (ᴅᴇꜰᴀᴜʟᴛ: 70).
ᴏᴠᴇʀꜱᴏʟᴅ ʟᴇᴠᴇʟ : ʀꜱɪ ᴛʜʀᴇꜱʜᴏʟᴅ ꜰᴏʀ ᴏᴠᴇʀꜱᴏʟᴅ ᴄᴏɴᴅɪᴛɪᴏɴꜱ (ᴅᴇꜰᴀᴜʟᴛ: 30).
3. ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ꜱᴇᴛᴛɪɴɢꜱ
ᴇɴᴀʙʟᴇ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ : ᴛᴏɢɢʟᴇꜱ ᴛʜᴇ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ꜰᴇᴀᴛᴜʀᴇ.
ᴩᴇʀᴄᴇɴᴛ : ᴅᴇꜰɪɴᴇꜱ ᴛʜᴇ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ᴅɪꜱᴛᴀɴᴄᴇ ᴀꜱ ᴀ ᴩᴇʀᴄᴇɴᴛᴀɢᴇ ᴏꜰ ᴛʜᴇ ᴩʀɪᴄᴇ.
4. ꜱɪɢɴᴀʟ ᴏᴩᴛɪᴏɴꜱ
ᴄʜᴏᴏꜱᴇ ʙᴇᴛᴡᴇᴇɴ ᴛʜᴇ ꜰᴏᴜʀ ꜱɪɢɴᴀʟ-ɢᴇɴᴇʀᴀᴛɪᴏɴ ᴍᴏᴅᴇꜱ:
ʀᴇᴠᴇʀꜱᴀʟ : ɪᴅᴇɴᴛɪꜰɪᴇꜱ ʀᴇᴠᴇʀꜱᴀʟ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ.
ʜᴀʟꜰ-ʟɪꜰᴇ : ᴛʀᴀᴄᴋꜱ ꜱᴛʀᴇᴀᴋꜱ ɪɴ ʀꜱɪ ᴀɴᴅ ʜɪɢʜʟɪɢʜᴛꜱ ᴍɪᴅ-ᴩᴏɪɴᴛ ʀᴇᴠᴇʀꜱᴀʟꜱ.
ʙᴏᴜɴᴄᴇ : ᴅᴇᴛᴇᴄᴛꜱ ʙᴏᴜɴᴄᴇꜱ ᴀꜰᴛᴇʀ ᴏᴠᴇʀꜱᴏʟᴅ/ᴏᴠᴇʀʙᴏᴜɢʜᴛ ꜱᴛʀᴇᴀᴋꜱ.
ꜰᴏᴍᴏ : ʜɪɢʜʟɪɢʜᴛꜱ ᴍᴏᴍᴇɴᴛᴜᴍ-ᴅʀɪᴠᴇɴ ʙʀᴇᴀᴋᴏᴜᴛ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ.
5. ᴄᴏʟᴏʀ ᴄᴜꜱᴛᴏᴍɪᴢᴀᴛɪᴏɴ
ꜰᴜʟʟʏ ᴄᴜꜱᴛᴏᴍɪᴢᴀʙʟᴇ ʙᴀʀ ᴄᴏʟᴏʀꜱ ꜰᴏʀ ᴅɪꜰꜰᴇʀᴇɴᴛ ᴄᴏɴᴅɪᴛɪᴏɴꜱ (ᴇ.ɢ., ᴜᴩᴛʀᴇɴᴅ, ᴅᴏᴡɴᴛʀᴇɴᴅ, ᴏᴠᴇʀʙᴏᴜɢʜᴛ, ᴏᴠᴇʀꜱᴏʟᴅ)
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ʜᴏᴡ ɪᴛ ᴡᴏʀᴋꜱ
1. ʀꜱɪ ᴄᴀʟᴄᴜʟᴀᴛɪᴏɴ
ᴛʜᴇ ꜱᴄʀɪᴩᴛ ᴄᴀʟᴄᴜʟᴀᴛᴇꜱ ʀꜱɪ ᴜꜱɪɴɢ ᴛʜᴇ ᴛʀᴀᴅɪᴛɪᴏɴᴀʟ ꜰᴏʀᴍᴜʟᴀ ʙᴜᴛ ᴀʟʟᴏᴡꜱ ᴄᴜꜱᴛᴏᴍɪᴢᴀᴛɪᴏɴ ᴏꜰ ᴛʜᴇ ᴩᴇʀɪᴏᴅ ᴀɴᴅ ᴛɪᴍᴇꜰʀᴀᴍᴇ. ɪᴛ ᴀʟꜱᴏ ᴜꜱᴇꜱ ᴡᴇɪɢʜᴛᴇᴅ ᴍᴏᴠɪɴɢ ᴀᴠᴇʀᴀɢᴇꜱ ᴛᴏ ʀᴇᴅᴜᴄᴇ ʟᴀɢ, ᴩʀᴏᴅᴜᴄɪɴɢ ᴀ ꜱᴍᴏᴏᴛʜᴇʀ ʀꜱɪ.
2. ᴅʏɴᴀᴍɪᴄ ʙᴀʀ ᴄᴏʟᴏʀɪɴɢ
ʙᴀʀꜱ ᴀʀᴇ ᴄᴏʟᴏʀᴇᴅ ᴅʏɴᴀᴍɪᴄᴀʟʟʏ ʙᴀꜱᴇᴅ ᴏɴ ᴛʜᴇ ʀꜱɪ’ꜱ ᴠᴀʟᴜᴇ, ᴡɪᴛʜ ɢʀᴀᴅɪᴇɴᴛ ᴄᴏʟᴏʀɪɴɢ ᴛʀᴀɴꜱɪᴛɪᴏɴɪɴɢ ʙᴇᴛᴡᴇᴇɴ ᴜꜱᴇʀ-ꜱᴩᴇᴄɪꜰɪᴇᴅ ᴄᴏʟᴏʀꜱ.
3. ꜱɪɢɴᴀʟ ɢᴇɴᴇʀᴀᴛɪᴏɴ
ᴇᴀᴄʜ ᴍᴏᴅᴇ ʜᴀꜱ ɪᴛꜱ ᴏᴡɴ ʟᴏɢɪᴄ ꜰᴏʀ ɪᴅᴇɴᴛɪꜰʏɪɴɢ ᴛʀᴀᴅɪɴɢ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ:
ᴀ. ʀᴇᴠᴇʀꜱᴀʟ ᴍᴏᴅᴇ
- ᴍᴏɴɪᴛᴏʀꜱ ᴡʜᴇɴ ʀꜱɪ ᴄʀᴏꜱꜱᴇꜱ ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴏʀ ᴏᴠᴇʀꜱᴏʟᴅ ʟᴇᴠᴇʟꜱ ᴀɴᴅ ʀᴇᴠᴇʀꜱᴇꜱ ᴅɪʀᴇᴄᴛɪᴏɴ. ɪᴛ ᴩʟᴏᴛꜱ ᴅᴀꜱʜᴇᴅ ʟɪɴᴇꜱ ꜰᴏʀ ᴩᴏᴛᴇɴᴛɪᴀʟ ʀᴇᴠᴇʀꜱᴀʟ ᴩᴏɪɴᴛꜱ ᴀɴᴅ ꜱɪɢɴᴀʟꜱ ᴡɪᴛʜ ʟᴀʙᴇʟꜱ.
ʙ. ʜᴀʟꜰ-ʟɪꜰᴇ ᴍᴏᴅᴇ
- ᴛʀᴀᴄᴋꜱ ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴏʀ ᴏᴠᴇʀꜱᴏʟᴅ ꜱᴛʀᴇᴀᴋꜱ ᴏꜰ ᴄᴏɴᴛɪɴᴜᴏᴜꜱ ʙᴀʀꜱ. ɪᴛ ᴛʜᴇɴ ɪᴅᴇɴᴛɪꜰɪᴇꜱ ᴄᴏɴꜱᴏʟɪᴅᴀᴛɪᴏɴ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ ᴀɴᴅ ᴩʟᴏᴛꜱ ᴅᴀꜱʜᴇᴅ ʟɪɴᴇꜱ ᴡɪᴛʜ ᴀʟᴇʀᴛꜱ.
ᴄ. ʙᴏᴜɴᴄᴇ ᴍᴏᴅᴇ
- ᴛʀᴀᴄᴋꜱ ʀꜱɪ ꜱᴛᴀʏɪɴɢ ʙᴇʟᴏᴡ ᴏᴠᴇʀꜱᴏʟᴅ (ᴏʀ ᴀʙᴏᴠᴇ ᴏᴠᴇʀʙᴏᴜɢʜᴛ) ꜰᴏʀ ᴩʀᴏʟᴏɴɢᴇᴅ ᴩᴇʀɪᴏᴅꜱ. ɪᴛ ɪᴅᴇɴᴛɪꜰɪᴇꜱ ʙᴏᴜɴᴄᴇ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ ᴡʜᴇɴ ᴩʀɪᴄᴇ ʙʀᴇᴀᴋꜱ ᴏᴜᴛ ᴏꜰ ᴛʜᴇ ᴏᴠᴇʀꜱᴏʟᴅ/ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴄᴏɴᴅɪᴛɪᴏɴꜱ.
ᴅ. ꜰᴏᴍᴏ
- ᴅᴇᴛᴇᴄᴛꜱ ʀꜱɪ ꜱᴛʀᴇᴀᴋꜱ ᴏꜰ ʙᴀʀꜱ ɪɴ ᴇxᴛʀᴇᴍᴇ ᴢᴏɴᴇꜱ. ᴀ "ꜰᴏᴍᴏ" ꜱɪɢɴᴀʟ ɪꜱ ɢᴇɴᴇʀᴀᴛᴇᴅ ᴡʜᴇɴ ᴩʀɪᴄᴇ ʙʀᴇᴀᴋꜱ ᴩᴀꜱᴛ ᴋᴇʏ ʟᴇᴠᴇʟꜱ.
4. ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ
- ᴡʜᴇɴ ᴇɴᴀʙʟᴇᴅ, ᴛʜᴇ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ᴅʏɴᴀᴍɪᴄᴀʟʟʏ ᴀᴅᴊᴜꜱᴛꜱ ɪᴛꜱ ʟᴇᴠᴇʟ ʙᴀꜱᴇᴅ ᴏɴ ᴛʜᴇ ᴩᴇʀᴄᴇɴᴛᴀɢᴇ ɪɴᴩᴜᴛ. ᴀʟᴇʀᴛꜱ ᴀʀᴇ ɢᴇɴᴇʀᴀᴛᴇᴅ ᴡʜᴇɴ ᴛʜᴇ ꜱᴛᴏᴩ-ʟᴏꜱꜱ ʟᴇᴠᴇʟ ɪꜱ ʙʀᴇᴀᴄʜᴇᴅ.
5. ᴀʟᴇʀᴛꜱ
- ᴀʟᴇʀᴛꜱ ᴀʀᴇ ɪɴᴛᴇɢʀᴀᴛᴇᴅ ꜰᴏʀ ᴀʟʟ ꜱɪɢɴᴀʟ ᴛʏᴩᴇꜱ ᴀɴᴅ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ᴇᴠᴇɴᴛꜱ. ᴜꜱᴇʀꜱ ᴄᴀɴ ᴄᴜꜱᴛᴏᴍɪᴢᴇ ᴀʟᴇʀᴛ ᴍᴇꜱꜱᴀɢᴇꜱ ᴏʀ ᴜꜱᴇ ᴛʜᴇ ᴩʀᴇᴄᴏɴꜰɪɢᴜʀᴇᴅ ᴏɴᴇꜱ.
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ᴠɪꜱᴜᴀʟ ᴇʟᴇᴍᴇɴᴛꜱ
ʀꜱɪ ᴩʟᴏᴛ
ᴛʜᴇ ᴍᴀɪɴ ʀꜱɪ ʟɪɴᴇ ɪꜱ ᴩʟᴏᴛᴛᴇᴅ ᴏɴ ᴛʜᴇ ᴄʜᴀʀᴛ ᴡɪᴛʜ ᴅʏɴᴀᴍɪᴄ ᴄᴏʟᴏʀɪɴɢ. ʜᴏʀɪᴢᴏɴᴛᴀʟ ʟɪɴᴇꜱ ᴅᴇɴᴏᴛᴇ ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴀɴᴅ ᴏᴠᴇʀꜱᴏʟᴅ ʟᴇᴠᴇʟꜱ.
ꜱɪɢɴᴀʟꜱ
ʀᴇᴠᴇʀꜱᴀʟ : ᴅᴀꜱʜᴇᴅ ʟɪɴᴇꜱ ᴀᴛ ʀᴇᴠᴇʀꜱᴀʟ ᴩᴏɪɴᴛꜱ. "ʙᴜʏ" ᴀɴᴅ "ꜱᴇʟʟ" ꜱɪɢɴᴀʟꜱ ᴀʀᴇ ᴩʟᴏᴛᴛᴇᴅ ᴡɪᴛʜ ᴀʀʀᴏᴡꜱ.
ʜᴀʟꜰ-ʟɪꜰᴇ : ʜɪɢʜʟɪɢʜᴛᴇᴅ ᴍɪᴅ-ᴩᴏɪɴᴛ ᴄᴏɴꜱᴏʟɪᴅᴀᴛɪᴏɴꜱ ᴡɪᴛʜ ᴅᴀꜱʜᴇᴅ ʟɪɴᴇꜱ.
ʙᴏᴜɴᴄᴇ : ᴏᴠᴇʀʙᴏᴜɢʜᴛ/ᴏᴠᴇʀꜱᴏʟᴅ ʟᴇᴠᴇʟꜱ ᴀʀᴇ ᴍᴀʀᴋᴇᴅ ᴡɪᴛʜ ᴇxᴛᴇɴᴅᴇᴅ ʟɪɴᴇꜱ, ᴀɴᴅ ꜱɪɢɴᴀʟꜱ ᴀʀᴇ ᴅɪꜱᴩʟᴀʏᴇᴅ ᴡɪᴛʜ ᴀʀʀᴏᴡꜱ.
ꜰᴏᴍᴏ : ʜᴏʀɪᴢᴏɴᴛᴀʟ ʟɪɴᴇꜱ ᴀʀᴇ ᴩʟᴏᴛᴛᴇᴅ ᴛᴏ ʀᴇᴩʀᴇꜱᴇɴᴛ ꜱᴛʀᴇᴀᴋ-ᴅʀɪᴠᴇɴ ʙʀᴇᴀᴋᴏᴜᴛ ʟᴇᴠᴇʟꜱ.
ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ
ᴩʟᴏᴛꜱ ᴀ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ʟɪɴᴇ ᴀʙᴏᴠᴇ ᴏʀ ʙᴇʟᴏᴡ ᴛʜᴇ ᴩʀɪᴄᴇ, ᴡʜɪᴄʜ ᴍᴏᴠᴇꜱ ᴅʏɴᴀᴍɪᴄᴀʟʟʏ ʙᴀꜱᴇᴅ ᴏɴ ᴛʜᴇ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ᴩᴇʀᴄᴇɴᴛᴀɢᴇ.
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ᴀʟᴇʀᴛꜱ
ᴄᴜꜱᴛᴏᴍ ᴀʟᴇʀᴛꜱ ᴇɴꜱᴜʀᴇ ᴛʀᴀᴅᴇʀꜱ ꜱᴛᴀʏ ɪɴꜰᴏʀᴍᴇᴅ ɪɴ ʀᴇᴀʟ-ᴛɪᴍᴇ. ᴀʟᴇʀᴛꜱ ɪɴᴄʟᴜᴅᴇ:
1. ʀᴇᴠᴇʀꜱᴀʟ ꜱɪɢɴᴀʟꜱ
- ʙᴜʏ: "ʀᴇᴠᴇʀꜱᴀʟ: ʙᴜʏ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
- ꜱᴇʟʟ: "ʀᴇᴠᴇʀꜱᴀʟ: ꜱᴇʟʟ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
2. ʜᴀʟꜰ-ʟɪꜰᴇ ꜱɪɢɴᴀʟꜱ
- ʙᴜʏ: "ʜᴀʟꜰ-ʟɪꜰᴇ ʙᴜʏ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
- ꜱᴇʟʟ: "ʜᴀʟꜰ-ʟɪꜰᴇ ꜱᴇʟʟ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
3. ʙᴏᴜɴᴄᴇ ꜱɪɢɴᴀʟꜱ
- ʙᴜʏ: "ʙᴏᴜɴᴄᴇ: ʙᴜʏ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
- ꜱᴇʟʟ: "ʙᴏᴜɴᴄᴇ: ꜱᴇʟʟ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
4. ꜰᴏᴍᴏ ꜱɪɢɴᴀʟꜱ
- ʙᴜʏ: "ꜰᴏᴍᴏ: ʙᴜʏ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
- ꜱᴇʟʟ: "ꜰᴏᴍᴏ: ꜱᴇʟʟ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
5. ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ
- ʟᴏɴɢ: "ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ʟᴏꜱꜱ ʜɪᴛ: ᴇxɪᴛ ʟᴏɴɢ ᴩᴏꜱɪᴛɪᴏɴ"
- ꜱʜᴏʀᴛ: "ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ʟᴏꜱꜱ ʜɪᴛ: ᴇxɪᴛ ꜱʜᴏʀᴛ ᴩᴏꜱɪᴛɪᴏɴ"
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ᴜꜱᴇ ᴄᴀꜱᴇꜱ
ᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ɪꜱ ɪᴅᴇᴀʟ ꜰᴏʀ
ʀᴇᴠᴇʀꜱᴀʟ ᴛʀᴀᴅᴇʀꜱ : ꜱᴩᴏᴛᴛɪɴɢ ᴛᴜʀɴɪɴɢ ᴩᴏɪɴᴛꜱ ɪɴ ᴛʜᴇ ᴍᴀʀᴋᴇᴛ.
ᴛʀᴇɴᴅ ᴄᴏɴᴛɪɴᴜᴀᴛɪᴏɴ : ɪᴅᴇɴᴛɪꜰʏɪɴɢ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ ᴀꜰᴛᴇʀ ꜱᴜꜱᴛᴀɪɴᴇᴅ ᴛʀᴇɴᴅꜱ.
ʙʀᴇᴀᴋᴏᴜᴛ ᴛʀᴀᴅᴇʀꜱ : ᴄᴀᴩᴛᴜʀɪɴɢ ᴍᴏᴍᴇɴᴛᴜᴍ-ʙᴀꜱᴇᴅ ᴍᴏᴠᴇꜱ.
ʀɪꜱᴋ ᴍᴀɴᴀɢᴇᴍᴇɴᴛ : ᴜᴛɪʟɪᴢ ɪɴɢ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩꜱ ᴛᴏ ᴩʀᴏᴛᴇᴄᴛ ᴩʀᴏꜰɪᴛꜱ.
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ᴄᴏɴᴄʟᴜꜱɪᴏɴ
ᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ɪꜱ ᴀ ʀᴏʙᴜꜱᴛ ᴀɴᴅ ᴄᴜꜱᴛᴏᴍɪᴢ ᴀʙʟᴇ ɪɴᴅɪᴄᴀᴛᴏʀ ᴅᴇꜱɪɢɴᴇᴅ ᴛᴏ ᴇɴʜᴀɴᴄᴇ ᴛʀᴀᴅɪɴɢ ᴅᴇᴄɪꜱɪᴏɴꜱ ʙʏ ᴩʀᴏᴠɪᴅɪɴɢ ᴀᴄᴛɪᴏɴᴀʙʟᴇ ɪɴꜱɪɢʜᴛꜱ ʙᴀꜱᴇᴅ ᴏɴ ʀꜱɪ ᴀɴᴅ ᴩʀɪᴄᴇ ᴅʏɴᴀᴍɪᴄꜱ. ᴡɪᴛʜ ɪᴛꜱ ᴍᴜʟᴛɪ-ꜱɪɢɴᴀʟ ᴍᴏᴅᴇꜱ, ᴅʏɴᴀᴍɪᴄ ᴠɪꜱᴜᴀʟꜱ, ᴀɴᴅ ʙᴜɪʟᴛ-ɪɴ ᴀʟᴇʀᴛꜱ, ᴛʜɪꜱ ɪɴᴅɪᴄᴀᴛᴏʀ ɪꜱ ꜱᴜɪᴛᴀʙʟᴇ ꜰᴏʀ ᴛʀᴀᴅᴇʀꜱ ᴀᴄʀᴏꜱꜱ ᴀʟʟ ᴇxᴩᴇʀɪᴇɴᴄᴇ ʟᴇᴠᴇʟꜱ. ᴡʜᴇᴛʜᴇʀ ʏᴏᴜ'ʀᴇ ᴛʀᴀᴅɪɴɢ ʀᴇᴠᴇʀꜱᴀʟꜱ, ʙʀᴇᴀᴋᴏᴜᴛꜱ, ᴏʀ ᴛʀᴇɴᴅ ᴄᴏɴᴛɪɴᴜᴀᴛɪᴏɴꜱ, ᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ɪꜱ ᴀ ᴠᴀʟᴜᴀʙʟᴇ ᴀᴅᴅɪᴛɪᴏɴ ᴛᴏ ʏᴏᴜʀ ᴛʀᴀᴅɪɴɢ ᴀʀꜱᴇɴᴀʟ.
RShar Seasonal RSISeasonal RSI
This indicator, Seasonal RSI, is designed to enhance trading decisions by combining the **Relative Strength Index (RSI)** with insights derived from historical **seasonality patterns**. It not only calculates RSI but also overlays seasonality data for the current week of the year, providing traders with a more contextualized view of market conditions.
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### **Key Features**
#### 1. **Relative Strength Index (RSI) Calculation**
- The script calculates the RSI for a user-defined period (`RSI Length`), which is an oscillator used to measure the speed and magnitude of price changes.
- RSI values are plotted on the chart, helping traders identify **overbought** and **oversold** conditions.
- Thresholds for **Overbought** and **Oversold** levels are customizable, with default values of 70 and 30, respectively.
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#### 2. **Dynamic RSI Coloring Based on Seasonality**
- The color of the RSI line dynamically adjusts based on historical **win rates** for the current week of the year:
- **Bright Green** for win rates > 65%.
- **Green** for win rates between 50-65%.
- **Red** for win rates between 35-50%.
- **Dark Red** for win rates < 35%.
- This feature gives traders a quick visual cue about whether the historical performance of the current week tends to be bullish, neutral, or bearish.
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#### 3. **Overbought and Oversold Level Visualization**
- Overbought and oversold levels are displayed as dotted horizontal lines on the RSI chart.
- These levels act as visual guides for potential price reversals:
- **Overbought (default 70)**: Indicates potential selling pressure.
- **Oversold (default 30)**: Indicates potential buying pressure.
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#### 4. **Seasonality Data Integration**
- Historical **seasonality data** is used to analyze price performance patterns for each week of the year:
- **Win Rate**: The percentage of years in which prices closed higher during the current week.
- **Average Weekly Change**: The average price percentage change during the current week over historical data.
- This data provides additional context to RSI readings, helping traders align their strategies with seasonal tendencies.
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#### 5. **Information Table Overlay**
- A table is displayed in the **top-right corner** of the chart, summarizing seasonality data for the current week:
- **Week Win Rate**: Displays the percentage of historical years where prices rose during this week.
- **Avg Weekly Change**: Shows the average percentage price change for the current week. Positive values are displayed in green, and negative values are shown in red.
- This overlay provides actionable insights without cluttering the chart.
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### **How It Works**
1. **Seasonality Data**:
- A function (`getSeasonalityForWeek`) fetches or uses predefined mock seasonality data for each week of the year.
- For each week, it calculates:
- The **Win Rate** (percentage of years with positive performance).
- The **Mean Change** (average price percentage change).
2. **RSI Plot**:
- The RSI line is plotted on the chart.
- The line's color is determined by the win rate for the current week, providing a visual representation of historical performance trends.
3. **Threshold Visualization**:
- Horizontal lines for overbought and oversold levels are drawn to assist in identifying potential reversal points.
4. **Information Table**:
- The table summarizes the current week's seasonality data for quick reference, helping traders make data-driven decisions.
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### **Use Cases**
- **Short-Term Traders**:
Use the dynamic RSI colors and seasonality table to align short-term trades with historical patterns of weekly performance.
- **Swing Traders**:
Identify whether a stock or market is in an overbought/oversold condition while considering the seasonal tendency for the week.
- **Contextual Decision-Making**:
Combine traditional RSI signals with historical data to reduce false signals and improve timing.
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### **Limitations**
- The script uses **mock seasonality data** in its default state. To make it fully functional, replace the mock data with actual historical performance metrics for your specific ticker or market.
- The indicator does not fetch real-time external data due to Pine Script’s limitations, so all seasonality data must be manually updated or hardcoded.
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This indicator provides a powerful way to combine technical analysis with historical trends, offering a unique edge to traders by adding seasonal context to RSI signals.