PDF-MA Supertrend [BackQuant]PDF-MA Supertrend
The PDF-MA Supertrend combines the innovative Probability Density Function (PDF) smoothing with the widely popular Supertrend methodology, creating a robust tool for identifying trends and generating actionable trading signals. This indicator is designed to provide precise entries and exits by dynamically adapting to market volatility while visualizing long and short opportunities directly on the chart.
Core Feature: PDF Smoothing
At the foundation of this indicator is the PDF smoothing technique, which applies a Probability Density Function to calculate a smoothed moving average. This method allows the indicator to assign adaptive weights to data points, making it responsive to market changes without overreacting to short-term volatility.
Key parameters include:
Variance: Controls the spread of the PDF weighting. A smaller variance results in sharper responses, while a larger variance smooths out the curve.
Mean: Shifts the PDF’s center, allowing traders to tweak how weights are distributed around the data points.
Smoothing Method: Offers the choice between EMA (Exponential Moving Average) and SMA (Simple Moving Average) for blending the PDF-smoothed data with traditional moving average methods.
By combining these parameters, the PDF smoothing creates a moving average that effectively captures underlying trends.
Supertrend: Adaptive Trend and Volatility Tracking
The Supertrend is a well-known volatility-based indicator that dynamically adjusts to market conditions using the ATR (Average True Range). In this script, the PDF-smoothed moving average acts as the price input, making the Supertrend calculation more adaptive and precise.
Key Supertrend Features:
ATR Period: Determines the lookback period for calculating market volatility.
Factor: Multiplies the ATR to set the distance between the Supertrend and the price. A higher factor creates wider bands, filtering out smaller price movements, while a lower factor captures tighter trends.
Dynamic Direction: The Supertrend flips its direction based on price interactions with the calculated upper and lower bands:
Uptrend : When the price is above the Supertrend, the direction turns bullish.
Downtrend : When the price is below the Supertrend, the direction turns bearish.
This combination of PDF smoothing and Supertrend calculation ensures that trends are detected with greater accuracy, while volatility filters out market noise.
Long and Short Signal Generation
The PDF-MA Supertrend generates actionable trading signals by detecting transitions in the trend direction:
Long Signal (𝕃): Triggered when the trend transitions from bearish to bullish. This is visually represented with a green triangle below the price bars.
Short Signal (𝕊): Triggered when the trend transitions from bullish to bearish. This is marked with a red triangle above the price bars.
These signals provide traders with clear entry and exit points, ensuring they can capitalize on emerging trends while avoiding false signals.
Customizable Visualization Options
The indicator offers a range of visualization settings to help traders interpret the data with ease:
Show Supertrend: Option to toggle the visibility of the Supertrend line.
Candle Coloring: Automatically colors candlesticks based on the trend direction:
Green for long trends.
Red for short trends.
Long and Short Signals (𝕃 + 𝕊): Displays long (𝕃) and short (𝕊) signals directly on the chart for quick identification of trade opportunities.
Line Color Customization: Allows users to customize the colors for long and short trends.
Alert Conditions
To ensure traders never miss an opportunity, the PDF-MA Supertrend includes built-in alerts for trend changes:
Long Signal Alert: Notifies when a bullish trend is identified.
Short Signal Alert: Notifies when a bearish trend is identified.
These alerts can be configured for real-time notifications via SMS, email, or push notifications, making it easier to stay updated on market movements.
Suggested Parameter Adjustments
The indicator’s effectiveness can be fine-tuned using the following guidelines:
Variance:
For low-volatility assets (e.g., indices): Use a smaller variance (1.0–1.5) for smoother trends.
For high-volatility assets (e.g., cryptocurrencies): Use a larger variance (1.5–2.0) to better capture rapid price changes.
ATR Factor:
A higher factor (e.g., 2.0) is better suited for long-term trend-following strategies.
A lower factor (e.g., 1.5) captures shorter-term trends.
Smoothing Period:
Shorter periods provide more reactive signals but may increase noise.
Longer periods offer stability and better alignment with significant trends.
Experimentation is encouraged to find the optimal settings for specific assets and trading strategies.
Trading Applications
The PDF-MA Supertrend is a versatile indicator suited to a variety of trading approaches:
Trend Following : Use the Supertrend line and signals to follow market trends and ride sustained price movements.
Reversal Trading : Spot potential trend reversals as the Supertrend flips direction.
Volatility Analysis : Adjust the ATR factor to filter out minor price fluctuations or capture sharp movements.
Final Thoughts
The PDF-MA Supertrend combines the precision of Probability Density Function smoothing with the adaptability of the Supertrend methodology, offering traders a powerful tool for identifying trends and volatility. With its customizable parameters, actionable signals, and built-in alerts, this indicator is an excellent choice for traders seeking a robust and reliable system for trend detection and entry/exit timing.
As always, backtesting and incorporating this indicator into a broader strategy are recommended for optimal results.
Volatilité
Radial Basis Kernal ATR [BackQuant]Radial Basis Kernel ATR
The Radial Basis Kernel ATR is a trading indicator that combines the classic Average True Range (ATR) with advanced Radial Basis Function (RBF) kernel smoothing . This innovative approach creates a highly adaptive and precise tool for detecting volatility, identifying trends, and providing dynamic support and resistance levels.
With its configurable parameters and ability to adjust to market conditions, this indicator offers traders a robust framework for making informed decisions across various assets and timeframes.
Key Feature: Radial Basis Function Kernel Smoothing
The Radial Basis Function (RBF) kernel is at the heart of this indicator, applying sophisticated mathematical techniques to smooth price data and calculate an enhanced version of ATR. By weighting data points dynamically, the RBF kernel ensures that recent price movements are given appropriate emphasis without overreacting to short-term noise.
The RBF kernel uses a gamma factor to control the degree of smoothing, making it highly adaptable to different asset classes and market conditions:
Gamma Factor Adjustment :
For low-volatility data (e.g., indices), a smaller gamma (0.05–0.1) ensures smoother trends and avoids overly sharp responses.
For high-volatility data (e.g., cryptocurrencies), a larger gamma (0.1–0.2) captures the increased price fluctuations while maintaining stability.
Experimentation is Key : Traders are encouraged to backtest and visually compare different gamma values to find the optimal setting for their specific asset and strategy.
The gamma factor dynamically adjusts based on the variance of the source data, ensuring the indicator remains effective across a wide range of market conditions.
Average True Range (ATR) with Dynamic Bands
The ATR is a widely used volatility measure that captures the degree of price movement over a specific period. This indicator enhances the traditional ATR by integrating the RBF kernel, resulting in a smoothed and adaptive ATR calculation.
Dynamic bands are created around the RBF kernel output using a user-defined ATR factor , offering valuable insights into potential support and resistance zones. These bands expand and contract based on market volatility, providing a visual representation of potential price movement.
Moving Average Confluence
For additional confirmation, the indicator includes the option to overlay a moving average on the smoothed ATR. Traders can choose from several moving average types, such as EMA , SMA , or Hull , and adjust the lookback period to suit their strategy. This feature helps identify broader trends and potential confluence areas, making the indicator even more versatile.
Long and Short Trend Detection
The indicator provides long and short signals based on the directional movement of the smoothed ATR:
Long Signal : Triggered when the ATR crosses above its previous value, indicating bullish momentum.
Short Signal : Triggered when the ATR crosses below its previous value, signaling bearish momentum.
These trend signals are visually highlighted on the chart with green and red bar coloring (optional), providing clear and actionable insights.
Customization Options
The Radial Basis Kernel ATR offers extensive customization options, allowing traders to tailor the indicator to their preferences:
RBF Kernel Settings
Source : Select the price data (e.g., close, high, low) used for the kernel calculation.
Kernel Length : Define the lookback period for the RBF kernel, controlling the smoothing effect.
Gamma Factor : Adjust the smoothing sensitivity, with smaller values for smoother trends and larger values for responsiveness.
ATR Settings
ATR Period : Set the period for ATR calculation, with shorter periods capturing more short-term volatility and longer periods providing a broader view.
ATR Factor : Adjust the scaling of ATR bands for dynamic support and resistance levels.
Confluence Settings
Moving Average Type : Choose from various moving average types for additional trend confirmation.
Moving Average Period : Define the lookback period for the moving average overlay.
Visualization
Trend Coloring : Enable or disable bar coloring based on trend direction (green for long, red for short).
Background Highlighting : Add optional background shading to emphasize long and short trends visually.
Line Width : Customize the thickness of the plotted ATR line for better visibility.
Alerts and Automation
To help traders stay on top of market movements, the indicator includes built-in alerts for trend changes:
Kernel ATR Trend Up : Triggered when the ATR indicates a bullish trend.
Kernel ATR Trend Down : Triggered when the ATR signals a bearish trend.
These alerts ensure traders never miss important opportunities, providing timely notifications directly to their preferred device.
Suggested Gamma Values
The effectiveness of the gamma factor depends on the asset type and the selected kernel length:
Low Volatility Assets (e.g., indices): Use a smaller gamma factor (approximately 0.05–0.1) for smoother trends.
High Volatility Assets (e.g., crypto): Use a larger gamma factor (approximately 0.1–0.2) to capture sharper price movements.
Experimentation : Fine-tune the gamma factor using backtests or visual comparisons to optimize for specific assets and strategies.
Trading Applications
The Radial Basis Kernel ATR is a versatile tool suitable for various trading styles and strategies:
Trend Following : Use the smoothed ATR and dynamic bands to identify and follow trends with confidence.
Reversal Trading : Spot potential reversals by observing interactions with dynamic ATR bands and moving average confluence.
Volatility Analysis : Analyze market volatility to adjust risk management strategies or position sizing.
Final Thoughts
The Radial Basis Kernel ATR combines advanced mathematical techniques with the practical utility of ATR, offering traders a powerful and adaptive tool for volatility analysis and trend detection. Its ability to dynamically adjust to market conditions through the RBF kernel and gamma factor makes it a unique and indispensable part of any trader's toolkit.
By combining sophisticated smoothing , dynamic bands , and customizable visualization , this indicator enhances the ability to read market conditions and make more informed trading decisions. As always, backtesting and incorporating it into a broader strategy are recommended for optimal results.
3-Conf Buy Sell: MACD + RSI + ALMA + Bollinger Zones [S-REZVANI]Indicator Title:
"Triple-Confluence Signals: MACD + RSI + ALMA + Bollinger Zones "
Indicator Overview
This advanced trading system combines 4 powerful technical tools (MACD, RSI, ALMA, and Dual-Layer Bollinger Bands) to identify high-probability entries with multiple confirmation filters. Unique "Bollinger Zones" provide visual market context, while color-coded signals highlight precise entry points.
Core Components
MACD Momentum Engine
Customizable fast/slow/signal lengths (default 12/26/9)
Bullish signals when MACD line crosses ABOVE signal line
Bearish signals when MACD line crosses BELOW signal line
RSI Threshold Filter
Adaptive RSI length (default 14 periods)
Buy signals require RSI > 55 (bullish momentum)
Sell signals require RSI < 45 (bearish momentum)
ALMA Trend Confirmation
Arnaud Legoux Moving Average (20-period default)
Acts as dynamic support/resistance filter
Requires price position relative to ALMA for valid signals
Bollinger Band Zones
Dual-layer bands with 2.2σ and 3.0σ deviations
Red Zone (Upper): High volatility resistance area
Yellow Zone (Lower): Potential mean-reversion support
Gray area between = "Equilibrium Zone"
Signal Logic
✅ Buy Triggers
MACD Bullish Crossover
RSI > 55 (bullish momentum confirmation)
Price ABOVE ALMA (trend alignment)
▲ Blue triangle below price bar
✅ Sell Triggers
MACD Bearish Crossover
RSI < 45 (bearish momentum confirmation)
Price BELOW ALMA (trend alignment)
▼ Orange triangle above price bar
Key Features
🔹 Dual Bollinger Band System
Inner Bands (2.2σ): Early warning levels
Outer Bands (3.0σ): Extreme volatility markers
Colored zones highlight potential reversal areas
🔹 Smart Signal Filtering
Requires alignment of momentum (RSI), trend (ALMA), and MACD
Eliminates false signals in ranging markets
🔹 Visual Optimization
Colored candlesticks (blue = bullish bias, red = bearish bias)
Transparent zones for clear price context
Compact signal markers avoid chart clutter
Input Parameters
MACD Settings: Fast/Slow/Signal lengths
RSI Settings: Period length, threshold level
ALMA Settings: Length, smoothing factor
Bollinger Bands: Length, dual deviation multipliers
Visuals: Toggle zones/signals, adjust colors
Usage Recommendations
Best Timeframes: 1H-4H charts for swing trading
Pair With: Volume analysis or Fibonacci levels
Risk Management:
Use outer Bollinger bands as stop-loss guides
Inner bands as profit-taking targets
Market Conditions:
Strong trends: Follow directional signals
Range markets: Fade signals at Bollinger extremes
Why Traders Love This
"The Bollinger Zones add crucial context missing in most signal indicators. I use the red zone as a 'danger area' for longs and the yellow zone as bargain-hunting territory." - Beta Tester
Alert Setup Tip: Create separate alerts for buy/sell signals with message templates like:
"Bullish Signal {{ticker}} @ {{close}}"
"Bearish Signal {{ticker}} - Consider short"
Created by S-Rezvani | TradingView Community
Pro Tip: Combine with volume spikes for explosive move confirmation! 🚀
Neuro RSI by W.ARITASThe Neuro RSI by W.ARITAS is an advanced and adaptive RSI indicator, tailored for traders seeking precision and innovation in technical analysis. This cutting-edge tool combines the power of traditional RSI calculations with modern technologies like machine learning (LSTM), quantum-inspired algorithms, and advanced filtering techniques such as Kalman filtering and Jurik smoothing.
Unlike standard RSI indicators, Neuro RSI introduces a visually appealing color dimension to aid traders in identifying significant market opportunities. The intuitive color palette enhances interpretability:
Red or reddish tones signify a strong overbought state, indicating potential corrections.
Blue-to-purple tones highlight a mid-state, often associated with consolidation.
Green and yellow tones indicate an oversold state, suggesting a possible market reversal.
This adaptive approach dynamically adjusts to market conditions and translates insights into an easy-to-read color-coded representation.
Key Features
Machine Learning Integration (LSTM):
Refines oscillator predictions using LSTM neural networks.
Provides adaptive feedback and dynamic signal adjustments based on live market data.
Quantum-Inspired Calculations:
Leverages Fibonacci-based weighting, wavelet transforms, and amplitude modulation.
Generates a refined Probability RSI (PRSI) cloud to visualize market volatility and momentum.
Advanced Filtering Techniques:
Kalman filtering reduces noise for clearer signals.
Jurik smoothing ensures stable and responsive trend analysis.
Dynamic Adaptation:
Reacts to changes in market volatility and sensitivity thresholds.
Fully customizable to suit diverse trading strategies and instruments.
Intuitive Visualization:
Gradient-filled RSI and PRSI clouds make trend identification effortless.
Clearly defined overbought/oversold boundaries with color fills for quick decision-making.
How to Use
Trading Signals:
Utilize the PRSI curve and RSI Cloud to identify overbought/oversold levels and momentum shifts.Rely on gradient colors to visually interpret the strength of market states.
Customizable Inputs:
Adjust smoothing, oscillator frequency, and sensitivity thresholds for specific trading setups.
Advanced users can fine-tune machine learning parameters, including LSTM learning rate, units, and wavelet bands.
Risk Management:
Integrate the Neuro RSI with your trading strategy to confirm entry/exit points.
Leverage built-in support and resistance levels to enhance risk assessment.
Inputs
General Settings:
Source: Select the data input (e.g., volume, close price).
Smoothing Length: Adjust the level of curve smoothing.
Algorithm Settings:
Dynamic sensitivity, oscillator frequency, and Kalman filter parameters for deeper customization.
ML Model Settings:
Configure LSTM learning rate, units, and wavelet bands for precision optimization.
Bright_Mod_123 Reversal & Statistical VolatilityCr. HPotter
This indicator combines two powerful strategies to identify potential buy, sell, and close signals in the market:
1. 123 Reversal Strategy
Based on price action and Stochastic Oscillator values.
Generates Buy Signals when:
The close price increases after two consecutive decreases.
The Stochastic Fast line is above a specified level and crosses the Slow line.
Generates Sell Signals when:
The close price decreases after two consecutive increases.
The Stochastic Fast line is below a specified level and crosses the Slow line.
2. Statistical Volatility (SV) Strategy
Measures market volatility using the Extreme Value Method.
Buy Signals occur when volatility is above the upper threshold (Top Band).
Sell Signals occur when volatility is below the lower threshold (Low Band).
Combined Signal Logic
A Buy Signal is generated when both the 123 Reversal and SV strategies align with bullish conditions.
A Sell Signal is generated when both strategies align with bearish conditions.
A Close Signal is generated when neither strategy supports the current position.
Features
Customizable parameters for each strategy (e.g., length, smoothing factors, thresholds).
Visual labels for Buy, Sell, and Close signals, with adjustable colors and styles.
Optional "Reverse Trading" mode to invert signals for specific trading styles.
Use Cases
Ideal for traders looking to combine price action and volatility analysis in their strategy.
Useful for identifying potential trend reversals or periods of high market volatility.
Levels from All-Time HighJust an easy script to track percentage distance from recent all time highs. You can customize the color and the percentages from the all time highs. These zones can mark great opportunities to buy.
ATR 5 daysДвижение ATR на 5 дней дает понимание объема АТР за период 5 дней без учета сильно дисперсных колебаний
Bollinger Bands Filter (TradeChartist) / Owl of Profit remakeThis strategy, created by TradeChartist, uses Bollinger Bands to filter market conditions and generate precise signals for long and short positions based on price action relative to the Bollinger Bands.
Special thanks to TradeChartist for the inspiration!
Features:
Bollinger Bands Logic:
Long Entry: Triggered when the price crosses above the upper Bollinger Band.
Short Entry: Triggered when the price crosses below the lower Bollinger Band.
Customizable Settings:
Adjust the SMA period and Standard Deviation multiplier for Bollinger Bands to suit your trading style.
Enable or disable bar coloring based on Bollinger Bands logic.
Alerts and Visualization:
Clear alerts for both Long and Short signals.
Visual signals with triangle markers directly on the chart.
Shaded Bollinger Bands with customizable transparency for easier zone identification.
Bar Coloring:
Green for bullish conditions when the price is above the upper band.
Red for bearish conditions when the price is below the lower band.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and customization to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
BB + MA / Owl of ProfitThis strategy combines Bollinger Bands (BB) and a Moving Average (MA) to identify trend-following entry and exit signals. It leverages Bollinger Bands for volatility-based breakouts and a Moving Average for trend confirmation.
Features:
Bollinger Bands:
Detects price volatility with customizable period and multiplier.
Generates signals based on price crossing the upper or lower bands.
Moving Average:
Supports both SMA (Simple Moving Average) and EMA (Exponential Moving Average).
Confirms trend direction for entry and exit conditions.
Entry Conditions:
Long: Price crosses above the lower Bollinger Band and is above the MA.
Short: Price crosses below the upper Bollinger Band and is below the MA.
Exit Conditions:
Long Exit: Price crosses below the MA or drops below it.
Short Exit: Price crosses above the MA or rises above it.
Customization Options:
Adjust Bollinger Bands period and multiplier for volatility sensitivity.
Choose between SMA or EMA for the Moving Average.
Visualization:
Bollinger Bands with shaded areas for easy identification of price ranges.
Visual markers for entry and exit signals directly on the chart.
This strategy is designed for educational and testing purposes. Use it as a foundation for further customization and backtesting on your preferred markets.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Previous Day Close with Configurable Settings ammo traderwith updated setting you can choose close times and its help ful in gsp opening
Combined Indicator BB, RSI, MACD, BBW, %b, DMI, ATRThis Pine Script combines multiple technical indicators into a single tool, providing a comprehensive solution for traders. The included indicators are:
1. Bollinger Bands (BB): Displays upper, lower, and middle bands to assess price volatility and trends.
2. Moving Average Convergence Divergence (MACD): Analyzes momentum through the relationship between moving averages.
3. Relative Strength Index (RSI): Measures the speed and change of price movements to identify overbought and oversold conditions.
4. Chaikin Money Flow (CMF): Evaluates buying and selling pressure based on price and volume.
5. Directional Movement Index (DMI): Identifies the strength and direction of a trend using ADX, +DI, and -DI lines.
6. Average True Range (ATR): Calculates market volatility by analyzing the range of price movements.
7. Bollinger Band Width (BBW): Highlights periods of expansion and contraction within Bollinger Bands.
8. Bollinger Bands %b (BB %b): Normalizes the position of the price within the Bollinger Bands.
Each indicator is implemented with customizable inputs for length, source, and smoothing, ensuring flexibility for various trading strategies. The script is designed for TradingView and can be used with the Pine Screener to efficiently scan watchlists for potential opportunities.
mahid 2this is very good foro ichi time series
you can choose a candle and see a lot of things
try it and know more about that
P T Supertrend CustomPT Supertrend Custom Indicator Description
The PT Supertrend Custom indicator is a dual Supertrend-based tool designed to help traders identify market trends and potential reversals with enhanced accuracy. This custom indicator plots two Supertrend lines with different ATR (Average True Range) lengths and multipliers, providing a broader perspective on price movements across varying market conditions.
Key Features:
1. Dual Supertrend Lines:
- The indicator calculates two separate Supertrend values using customizable ATR lengths (default: 7 and 21) and factors (default: 3.0 for both).
- This dual-layered approach helps identify both short-term and long-term trends for better decision-making.
2. Customizable Parameters:
- ATR Length (ATR Length & ATR Length2): Determines the lookback period for volatility calculation.
- Factor (Factor & Factor2): Defines the multiplier for the ATR, controlling the sensitivity of the Supertrend lines.
3. Visual Trend Representation:
- Green and red line plots represent uptrends and downtrends, respectively.
- The indicator overlays on the price chart, offering a clear visual representation of trend direction.
- Trend fill areas provide additional clarity, with green shading for uptrends and red shading for downtrends.
4. Dynamic Trend Shifts:
- The indicator adapts dynamically based on price action, switching from an uptrend to a downtrend and vice versa when conditions change.
- Two independent trend signals allow traders to compare short-term and long-term trend confirmations.
5. Overlay on Price Chart:
- The indicator is plotted directly on the price chart for easy visualization without cluttering the workspace.
How to Use:
- Trend Identification:
- A green Supertrend line below price indicates an uptrend.
- A red Supertrend line above price signals a downtrend.
- When both Supertrends align, it indicates a strong trend; divergence may signal potential reversals.
- Entry & Exit Signals:
- Consider long positions when both Supertrend lines turn green.
- Consider short positions when both Supertrend lines turn red.
- Use the shorter ATR period for quicker entries and exits, while the longer ATR period provides confirmation.
- Risk Management:
- The Supertrend lines can serve as dynamic support/resistance levels for placing stop-loss orders.
Best Used In:
- Trend-following strategies
- Swing trading and day trading
- Volatile markets where ATR-based signals are effective
This indicator provides a comprehensive view of market trends by combining short- and long-term trend filters, making it a valuable tool for traders seeking precision and clarity in their trading decisions.
Created by Prince Thomas
Ichimoku Cloud + ATR / Owl of ProfitIchimoku Cloud + ATR Strategy
This strategy combines the Ichimoku Cloud and the Average True Range (ATR) to identify trade opportunities and set dynamic stop-loss levels based on market volatility.
Features:
Ichimoku Cloud Components:
Tenkan-Sen (Conversion Line): 9-period midpoint of the highest high and lowest low (default).
Kijun-Sen (Base Line): 26-period midpoint of the highest high and lowest low (default).
Senkou Span A: Average of Tenkan-Sen and Kijun-Sen, displaced 26 periods forward.
Senkou Span B: 52-period midpoint of the highest high and lowest low, displaced 26 periods forward.
Chikou Span: Current close, displaced 26 periods backward.
ATR (Average True Range):
Used to calculate stop-loss levels based on market volatility.
ATR multiplier is customizable (default: 1.5).
Entry and Exit Logic:
Long Condition:
Tenkan-Sen crosses above Kijun-Sen.
Price is above both Senkou Span A and B.
Chikou Span is above the current close.
Stop-Loss: Dynamic, set below the entry price by a multiple of ATR.
Short Condition:
Tenkan-Sen crosses below Kijun-Sen.
Price is below both Senkou Span A and B.
Chikou Span is below the current close.
Stop-Loss: Dynamic, set above the entry price by a multiple of ATR.
Exit Conditions:
For longs, exit when Tenkan-Sen crosses below Kijun-Sen or Chikou Span falls below the close.
For shorts, exit when Tenkan-Sen crosses above Kijun-Sen or Chikou Span rises above the close.
Visualization:
Ichimoku Cloud: Displays bullish (green) and bearish (red) zones with a dynamic fill.
Tenkan-Sen, Kijun-Sen, and Chikou Span: Plotted for clarity in identifying trends and momentum.
Buy and Sell Signals: Marked with green "Long" and red "Short" labels. Exit points are also highlighted.
This strategy provides a comprehensive framework for trading trends while managing risk with volatility-based stop-loss levels. Use it for backtesting and further adaptation to your trading preferences.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
200 ema dangezone This script tracks price interaction with the 200 EMA on the 1-minute chart and highlights key regions:
Purple: No-trade zone, indicating recent proximity to the 200 EMA.
Green: Trending upward, price above the 200 EMA.
Red: Trending downward, price below the 200 EMA.
Use this indicator to identify safe trading opportunities while avoiding high-risk zones near the EMA.
Breakout Trading with ATR, RSI and MA CrossDescripción del Script: Breakout Trading con ATR, RSI y Cruce de Medias Móviles
Configuración de Parámetros:
ATR Length: Periodo para calcular el ATR (Average True Range).
ATR Multiplier: Multiplicador del ATR para ajustar la sensibilidad de los niveles de rompimiento.
Lookback Period for Levels: Periodo para calcular los niveles de soporte y resistencia.
Mostrar ATR en el gráfico: Opción para mostrar el valor del ATR en el gráfico.
RSI Length: Periodo para calcular el RSI (Relative Strength Index).
Short MA Length: Periodo para la media móvil corta.
Long MA Length: Periodo para la media móvil larga.
Cálculo del ATR (Average True Range):
El ATR mide la volatilidad del mercado y se calcula usando el periodo especificado.
Identificación de Niveles Clave:
Highest Resistance: Nivel de resistencia más alto calculado en el periodo de observación.
Lowest Support: Nivel de soporte más bajo calculado en el periodo de observación.
Upper Breakout Level: Nivel de rompimiento superior, calculado sumando el ATR multiplicado al nivel de resistencia.
Lower Breakout Level: Nivel de rompimiento inferior, calculado restando el ATR multiplicado al nivel de soporte.
Visualización en el Gráfico:
Los niveles de rompimiento, soporte, resistencia y el ATR (si está habilitado) se muestran en el gráfico con líneas de diferentes colores.
Cálculo del RSI (Relative Strength Index):
El RSI se usa para medir la fuerza y el momentum del mercado. Se calculan niveles de sobrecompra (70) y sobreventa (30) y se muestra en el gráfico.
Cálculo de Medias Móviles (MA):
Medias móviles corta y larga se calculan y muestran en el gráfico. Estas medias móviles se usan para detectar cruces que indican cambios de tendencia.
Generación de Señales de Trading:
Señal de Compra:
Se genera si el precio cierra por encima del nivel de rompimiento superior y el RSI está en la zona de sobreventa, o si la media móvil corta cruza por encima de la media móvil larga.
Señal de Venta:
Se genera si el precio cierra por debajo del nivel de rompimiento inferior y el RSI está en la zona de sobrecompra, o si la media móvil corta cruza por debajo de la media móvil larga.
Las señales de compra y venta se visualizan en el gráfico con flechas y etiquetas que indican "COMPRA" y "VENDE".
Alertas:
Se crean alertas para las señales de compra y venta, notificando cuando el precio rompe la resistencia o soporte, o cuando hay un cruce de medias móviles.
Este script combina múltiples indicadores (ATR, RSI y medias móviles) para proporcionar una estrategia de trading más robusta, generando señales de compra y venta basadas en diferentes criterios.
Historical Volatility with MAUses built-in historical volatility indicator and allows for custom moving average to be overlaid
FVG Oscillator (OmegaTools) / Owl of Profit remakeFVG Oscillator (OmegaTools)
Big thanks to OmegaTools for providing this strategy and making it available under the Mozilla Public License 2.0! This Pine Script™ code is subject to the terms of the license at mozilla.org
This strategy leverages Fair Value Gaps (FVG) to detect potential bullish and bearish trading opportunities, combining price gaps and volume analysis for precision.
Features:
FVG Detection:
Bullish FVG (BFVG): Identifies price gaps with upward momentum.
Bearish FVG (SFVG): Identifies price gaps with downward momentum.
Additional Conditions:
Requires confirmation via volume or significant gap size.
Dynamic Count:
Tracks bullish and bearish FVG counts over a customizable 50-bar lookback period.
Normalized Gap Values:
Displays weighted bullish and bearish FVG patterns for better visualization.
Entry and Exit Logic:
Buy Signal: Triggered when a bullish FVG meets verification criteria (volume or significant gap).
Sell Signal: Triggered when a bearish FVG meets verification criteria.
Automatic position management ensures existing positions are closed before entering new ones.
Visualization:
Plots bullish and bearish FVG counts and highlights areas above and below zero.
Displays normalized gap widths as histograms for both long and short patterns.
This strategy provides a robust framework for detecting and trading fair value gaps, making it ideal for traders seeking a gap-based methodology. Use it for backtesting or customize it further for your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Consolidation Zone (LonesomeTheBlue) / Owl of Profit remakeConsolidation Zones - Live (LonesomeTheBlue)
This strategy, created by LonesomeTheBlue, identifies consolidation zones on the chart and detects potential breakout opportunities. It uses pivots and price ranges to define areas of consolidation and generates alerts when price breaks above or below these zones.
Special thanks to LonesomeTheBlue for the inspiration!
License:
This code is licensed under the Mozilla Public License 2.0
More details at: mozilla.org
Features:
Consolidation Zone Detection:
Identifies areas of price consolidation based on pivot highs and lows.
Dynamically updates consolidation zones with upper and lower boundaries.
Breakout Alerts:
Detects breakouts when the price moves outside the consolidation zone.
Alerts for both Breakout Up and Breakout Down scenarios.
Customization Options:
Adjust the Loopback Period for pivot detection.
Define the minimum number of candles for consolidation.
Enable/disable zone shading with customizable colors.
Entry Conditions:
Long: Triggered when price breaks above the consolidation zone.
Short: Triggered when price breaks below the consolidation zone.
Visualization:
Upper and lower zone boundaries plotted with dashed lines.
Optional zone fill for easier identification of consolidation areas.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Chande Momentum Oscillator + BB / Owl of ProfitChande Momentum Oscillator + Bollinger Bands Strategy
This strategy combines the Chande Momentum Oscillator (CMO) with Bollinger Bands to identify overbought and oversold conditions and generate entry and exit signals based on price action and momentum.
Features:
Bollinger Bands:
Visualize volatility and identify price breakouts using customizable period and standard deviation.
Signals are triggered when the price crosses above or below the Bollinger Bands.
Chande Momentum Oscillator (CMO):
Detects momentum with a customizable length.
Confirms overbought or oversold conditions with upper and lower thresholds.
Entry Conditions:
Long: Price crosses below the lower Bollinger Band, and CMO is below the oversold level.
Short: Price crosses above the upper Bollinger Band, and CMO is above the overbought level.
Exit Conditions:
Long Exit: Price crosses above the Bollinger Basis or CMO enters overbought.
Short Exit: Price crosses below the Bollinger Basis or CMO enters oversold.
Customization Options:
Adjust Bollinger Bands length and standard deviation for sensitivity.
Modify CMO length and thresholds to refine momentum detection.
Visualization:
Bollinger Bands are shaded for clear identification of overbought and oversold zones.
CMO and its thresholds are plotted for easy reference.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
SDO(SDO)
The Ultimate Oscillator for Precision Trading!
The Sarthak Dehkale Oscillator (SDO) is a powerful tool designed to identify overbought and oversold zones, giving you clear signals to capitalize on market reversals and trends. Perfect for traders of all levels, the SDO combines trend-following WaveTrend logic with visual enhancements for easy decision-making.
Key Features:
✨ Customizable Parameters: Adjust Channel Length and Average Length to suit your trading style.
✨ Dynamic Levels: Highlights primary (70, -70) and secondary (50, -50) zones with vibrant dashed lines for quick identification.
✨ Dual WaveTrend Lines: Observe WT1 and WT2 for trend strength and crossover signals.
✨ Visual Area Effect: Shaded regions between WT1 and WT2 make divergence spotting a breeze.
How to Use:
✅ Look for WT1 crossing above or below the overbought/oversold levels for potential reversals.
✅ Watch WT1 and WT2 crossovers for precise buy or sell signals.
✅ Use the shaded divergence area to gauge momentum shifts.
Empower your trades with SDO, the perfect balance of simplicity and technical depth. Add it to your chart today and trade with confidence!
Mikfiton Vix//@version=5
indicator("Mikfiton Vix", overlay=false)
// India VIX input using the chart's timeframe
vixSource = request.security("NSE:INDIAVIX", timeframe.period, close)
// Determine the color of the VIX line based on the trend
vixColor = vixSource > vixSource ? color.red : color.green
// Plot India VIX with dynamic color based on trend
plot(vixSource, title="India VIX", color=vixColor, linewidth=2)
// Define volatility ranges
stableRange = vixSource >= 9 and vixSource < 12
volatileRange = vixSource >= 12 and vixSource < 14
highlyVolatileRange = vixSource >= 14 and vixSource <= 20
// Fill area based on volatility ranges
bgcolor(stableRange ? color.new(color.green, 90) : na, title="Stable Zone")
bgcolor(volatileRange ? color.new(color.yellow, 90) : na, title="Volatile Zone")
bgcolor(highlyVolatileRange ? color.new(color.red, 90) : na, title="Highly Volatile Zone")
