LNYLRAThis indicator is designed to enhance your technical analysis by combining multiple popular tools into one comprehensive system. It integrates:
Supertrend: A trend-following indicator that helps identify market direction, with customizable ATR (Average True Range) settings and a multiplier for flexibility. It provides clear buy (green) and sell (red) signals based on market trends.
William Fractals: These are used to detect significant market turning points, with both Fractal Up and Fractal Down signals that mark key support and resistance levels.
Awesome Oscillator (AO): A momentum indicator that highlights the strength of market trends. It is calculated as the difference between two moving averages of the median price and is used to confirm trend direction.
RSI (Relative Strength Index): A widely-used momentum oscillator that helps identify overbought or oversold market conditions. This can be customized with user-defined thresholds to suit various trading strategies.
Stochastic Oscillator: Another momentum tool that compares a particular closing price to a range of its prices over time. It includes both %K and %D lines to help identify potential buy or sell signals based on overbought or oversold conditions.
Previous Day High and Low: Tracks the high and low of the previous daily candle, with breakout signals indicating potential market movements when price breaks above or below these levels.
This combined system allows traders to have a more comprehensive view of the market, offering clear signals for potential buy or sell opportunities based on trend direction, fractals, and momentum indicators.
Wskaźniki i strategie
Котенок Гав ищет неприятностиИндикатор вычисляет отношение среднего объема торгов за короткий период по отношению к более длинному, если это отношение больше заданного в настройках, то гистограмма выделяется соответствующими цветами.
WAGMI LAB Trend Reversal Indicator HMA-Kahlman (m15)WAGMI HMA-Kahlman Trend Reversal Indicator
This indicator combines the Hull Moving Average (HMA) with the Kahlman filter to provide a dynamic trend reversal signal, perfect for volatile assets like Bitcoin. The strategy works particularly well on lower timeframes, making it ideal for intraday trading and fast-moving markets.
Key Features:
Trend Detection: It uses a blend of HMA and Kahlman filters to detect trend reversals, providing more accurate and timely signals.
Volatility Adaptability: Designed with volatile assets like Bitcoin in mind, this indicator adapts to rapid price movements, offering smoother trend detection during high volatility.
Easy Visualization: Buy (B) and Sell (S) signals are clearly marked with labels, helping traders spot trend shifts quickly and accurately.
Trendlines Module: The indicator plots trendlines based on pivot points, highlighting important support and resistance levels. This helps traders understand the market structure and identify potential breakout or breakdown zones.
Customizable: Adjust the HMA and Kahlman parameters to fit different assets or trading styles, making it flexible for various market conditions.
Usage Tips:
Best Timeframes: The indicator performs exceptionally well on lower timeframes (such as 15-minute to 1-hour charts), making it ideal for scalping and short-term trading strategies.
Ideal for Volatile Assets: This strategy is perfect for highly volatile assets like Bitcoin, but can also be applied to other cryptocurrencies and traditional markets with high price fluctuations.
Signal Confirmation: Use the trend signals (green for uptrend, red for downtrend) along with the buy/sell labels to help you confirm potential entries and exits. It's also recommended to combine the signals with other technical tools like volume analysis or RSI for enhanced confirmation.
Trendline Analysis: The plotted trendlines provide additional visual context to identify key market zones, supporting your trading decisions with a clear view of ongoing trends and possible reversal areas.
Risk Management: As with any strategy, always consider proper risk management techniques, such as stop-loss and take-profit levels, to protect against unforeseen market moves.
Grids lines"Líneas de Grid para Análisis Técnico"
Este indicador dibuja líneas de grid (rejilla) en el gráfico de precios, lo que puede ayudar a visualizar zonas de soporte, resistencia y niveles de interés en un rango de precios determinado.
Características:
Precio Mínimo y Máximo: Configura los precios entre los cuales se dibujarán las líneas de grid.
Número de Grids: Establece cuántas líneas de grid quieres ver en el gráfico.
Color y Grosor de las Líneas: Personaliza los colores y el grosor de las líneas de grid, incluyendo la primera y la última línea.
Estilo de las Líneas: Puedes elegir entre líneas discontinuas (Dotted) o sólidas (Solid), para personalizar aún más tu visualización.
Ticker Específico: Si lo deseas, puedes elegir un ticker específico para dibujar las líneas solo cuando el gráfico esté mostrando ese activo. De lo contrario, las líneas se dibujarán en el gráfico actual.
Parámetros:
Precio Mínimo: El precio más bajo para el rango del grid (por ejemplo: 0.82).
Precio Máximo: El precio más alto para el rango del grid (por ejemplo: 1.24).
Número de Grids: Define cuántas líneas quieres entre el precio mínimo y el máximo (por ejemplo: 30).
Estilo de Línea: Elige entre Dotted (líneas discontinuas) o Solid (líneas sólidas).
Ticker: Si deseas dibujar las líneas solo para un ticker específico, ingresa el símbolo del ticker (por ejemplo, ADAUSDT). Si dejas este campo vacío, las líneas se dibujarán en el gráfico actual.
Ejemplo de Uso:
Si estás analizando el par ADAUSDT, puedes escribir ADAUSDT en el campo del ticker para que las líneas solo se dibujen cuando este par esté visible. Si dejas el campo vacío, las líneas se dibujarán en cualquier ticker que tengas en el gráfico.
Descripción en Inglés:
"Grid Lines for Technical Analysis"
This indicator draws grid lines on the price chart, helping to visualize support, resistance, and key levels within a specific price range.
Features:
Min and Max Price: Set the price range for the grid lines to be drawn.
Number of Grids: Choose how many grid lines you want to display on the chart.
Line Color and Thickness: Customize the color and thickness of the grid lines, including the first and last line.
Line Style: Choose between Dotted (dashed lines) or Solid (solid lines) to further customize your view.
Specific Ticker: If desired, you can specify a ticker for the grid lines to only be drawn when that asset is shown. Otherwise, the lines will be drawn on the current chart.
Parameters:
Min Price: The lowest price for the grid range (for example, 0.82).
Max Price: The highest price for the grid range (for example, 1.24).
Number of Grids: Defines how many lines you want between the minimum and maximum price (for example, 30).
Line Style: Choose between Dotted or Solid.
Ticker: To draw the lines only for a specific ticker, enter the symbol of the ticker (for example, ADAUSDT). If left blank, the lines will be drawn on the current ticker.
Usage Example:
If you're analyzing the pair ADAUSDT, you can enter ADAUSDT in the ticker field to draw the lines only when that pair is visible. If you leave the field blank, the lines will be drawn for any ticker currently on the chart.
EMA Crossovers - SOBSThis script will plot the EMAs with the colors white, green, and red for the respective periods, and display arrows when the 9-period EMA crosses the 20-period EMA.
Optimized Fibonacci Long-Only Strategy for $100,000 to $150,000Optimized Fibonacci Long-Only Strategy for $100,000 to $150,000
ATR Predictive Order Flow ProI've removed the buy/sell labels and ensured the levels where price will likely reject are accurately plotted. Let me know if you need any further refinements! 🚀
Trailing Stop with 21 EMA and ATRTrailing Stop with 21 EMA and ATR
This indicator helps traders to dynamically track their trailing stops based on market volatility, ensuring better risk management and optimized exit points.
This Pine Script indicator for TradingView calculates and plots trailing stops based on the 21-period Exponential Moving Average (EMA) and the Average True Range (ATR). The script uses an ATR multiplier to adjust the trailing stops dynamically.
Key Features:
Trailing Stops Calculation:
Long Trailing Stop: Calculated as EMA21 - (ATR * ATR Multiplier)
Short Trailing Stop: Calculated as EMA21 + (ATR * ATR Multiplier)
Customization Options:
Visibility: Toggle the visibility of long and short trailing stops.
Color: Customize the color of the trailing stops for both long and short positions.
Line Width: Adjust the width of the trailing stop lines.
Inputs:
EMA Length: Set the length for the Exponential Moving Average (default is 21).
ATR Length: Set the length for the Average True Range (default is 14).
ATR Multiplier: Set the multiplier for the ATR to adjust the trailing stop distance (default is 1.0).
Engulfing Candle Demand/SupplyEngulfing Candle Demand/Supply
Marks opening price of candle prior to the engulfing candle
10AM-2PM EST NY Kill Zone Killzone for NewYork Session from 10AM-2PM typically the best time to trade during just NewYork since the NY opening is chaotic and the end of NY is slow and low volume.
Multi-Tool Trading Indicator (MTTI) von Zaimon🚀 Alles, was du für eine fundierte Marktanalyse brauchst – in einem einzigen Indikator!
Dieses Indikator-Set kombiniert Gleitende Durchschnitte (MA20 & MA50), RSI, Stochastik, Bollinger Bänder und ATR in einer klar strukturierten Darstellung, um dir präzise Kauf- und Verkaufssignale zu liefern.
🔍 Funktionen:
✅ Trendbestimmung: MA20 (Blau) und MA50 (Orange) helfen, Markttrends zu erkennen (Golden/Death Cross).
✅ Momentum & Stärke: Der RSI zeigt überkaufte und überverkaufte Zonen, während die Stochastik Kreuzungen für mögliche Einstiege signalisiert.
✅ Volatilität im Blick: Bollinger Bänder markieren starke Preisbewegungen, und die ATR-Linien helfen bei Stop-Loss-Setups.
✅ Echtzeit-Übersicht: Eine kompakte Tabelle zeigt alle relevanten Werte direkt auf dem Chart.
✅ Alerts für wichtige Signale: Lass dich automatisch benachrichtigen, wenn entscheidende Marktsituationen eintreten.
📊 Perfekt für schnelle Marktanalysen und strategisches Trading – egal ob Einsteiger oder Profi!
Refined Machine Learning Adaptive SuperTrend [AlgoAlpha]The Machine Learning Adaptive SuperTrend is an advanced and dynamic trend-following indicator designed to adapt to changing market conditions using machine learning principles. Unlike traditional SuperTrend indicators, this version incorporates K-Means clustering to intelligently classify volatility levels into three categories: High , Medium , and Low . By dynamically adjusting its sensitivity based on real-time market volatility, this indicator provides more accurate and reliable signals for identifying trends and potential reversals.
Key Features:
Dynamic Volatility Clustering :
Uses K-Means clustering to classify volatility into three distinct levels (High, Medium, Low) based on historical ATR (Average True Range) data.
Automatically adapts to evolving market conditions, ensuring robust performance in both trending and ranging markets.
Adaptive SuperTrend :
Combines the classified volatility levels with the classic SuperTrend formula to generate highly responsive trend signals.
The SuperTrend factor and ATR length are dynamically adjusted based on the current volatility cluster, reducing noise and false signals.
Smoothed ATR Calculation :
Employs an EMA-smoothed ATR to filter out erratic price movements and provide a cleaner representation of true market volatility.
Visual Enhancements :
Customizable transparency settings allow you to emphasize strong trends while de-emphasizing weaker ones.
Clear visual cues (bullish/bearish colors and trend direction labels) make it easy to interpret signals at a glance.
Alerts and Notifications :
Includes built-in alerts for trend shifts (bullish/bearish) and volatility changes (High/Medium/Low), helping traders stay ahead of market moves.
Performance Optimization :
Optimized clustering logic ensures efficient execution without exceeding memory limits, even with large datasets.
thecommonsensiv1.0Just testing an Idea of using concepts of KNN and ATR, and RSI into a single inidcator and its more for study purpose for my Quant project
MOMENTUM CANDLEThis script checks the following conditions:
- Latest Open < 1 day ago High
- Latest Close < 1 day ago High
- Latest Open > Latest Low
- Latest Close > 1 day ago Low
- 1 day ago Open < Latest High
- 1 day ago Open < Latest High ( duplicate condition)
- 1 day ago Open > Latest Low
High-Volume Bullish EngulfingHow This Script Works
Bullish Engulfing Pattern:
The current candle engulfs the previous red candle.
Open price is lower than the previous close, and the close is higher than the previous open.
High Volume Filter:
The current volume must be higher than 1.5x the average volume over the last 5 candles (configurable).
RSI Confirmation (Optional):
If enabled, checks if RSI is below 30 (oversold zone), increasing accuracy.
Marks Engulfing Candles on the Chart
A green arrow is plotted when the conditions are met.
Multi-Indicator [ADX, MACD, Stoch, OBV] alamis custom multi-indicator combines several popular technical analysis tools in one view:
- ADX (Average Directional Index): Measures trend strength
- MACD (Moving Average Convergence Divergence): Shows momentum and trend changes
- Stochastic: Identifies overbought/oversold conditions
- OBV (On Balance Volume): Volume-based momentum indicator
Features:
- All indicators are normalized to the same scale for easy comparison
- Color-coded lines for clear visualization
- Reference lines for better readability
- Optimized scaling for each indicator
Settings:
ADX Length: 14
MACD: (12, 26, 9)
Stochastic: (14, 3, 3)
Lines:
Blue: ADX
Green: MACD Line
Red: MACD Signal
Orange: Stochastic K
Purple: Stochastic D
Yellow: Scaled OBV
Version: PineScript™ v6
Multi-EMA Trend Analyzer (7/99/144/169) Multi EMA Trend Analysis Tool | Suitable for Stocks/Cryptocurrencies/Forex
This indicator identifies the trend intensity of different time periods through four key EMA lines (customizable parameters):
-Short term EMA (default 7 cycles): Capture recent price momentum
-Mid term EMA (default 99/144 cycle): Identify mid-term trends
-Long term EMA (default 169 cycles): Confirm long-term direction
Feature Highlights:
1. Real time price fluctuation tags
2. Dynamic EMA numerical legend
3. Fully customizable cycles and colors
4. Support all trading varieties and time frames
Usage suggestion:
-Golden Cross/Dead Cross: Observing the Relationship between Short term EMA and Long term EMA
-Deviation between price and EMA: Pay attention to pullback risk when price deviates from long-term EMA
-Multi EMA arrangement: Horizontal arrangement of moving averages can confirm trend strength
Risk Warning: It is recommended to use a combination of trading volume and other indicators
Open and Low Same - TestingFor Devang's test, its a indicator which signals where the candle is formed with same open and low.
KernelSwenLibrary "KernelFunctions"
This library provides non-repainting kernel functions for Nadaraya-Watson estimator implementations. This allows for easy substition/comparison of different kernel functions for one another in indicators. Furthermore, kernels can easily be combined with other kernels to create newer, more customized kernels.
rationalQuadratic(_src, _lookback, _relativeWeight, startAtBar)
Rational Quadratic Kernel - An infinite sum of Gaussian Kernels of different length scales.
Parameters:
_src (float) : The source series.
_lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.
_relativeWeight (simple float) : Relative weighting of time frames. Smaller values resut in a more stretched out curve and larger values will result in a more wiggly curve. As this value approaches zero, the longer time frames will exert more influence on the estimation. As this value approaches infinity, the behavior of the Rational Quadratic Kernel will become identical to the Gaussian kernel.
startAtBar (simple int)
Returns: yhat The estimated values according to the Rational Quadratic Kernel.
gaussian(_src, _lookback, startAtBar)
Gaussian Kernel - A weighted average of the source series. The weights are determined by the Radial Basis Function (RBF).
Parameters:
_src (float) : The source series.
_lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.
startAtBar (simple int)
Returns: yhat The estimated values according to the Gaussian Kernel.
periodic(_src, _lookback, _period, startAtBar)
Periodic Kernel - The periodic kernel (derived by David Mackay) allows one to model functions which repeat themselves exactly.
Parameters:
_src (float) : The source series.
_lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.
_period (simple int) : The distance between repititions of the function.
startAtBar (simple int)
Returns: yhat The estimated values according to the Periodic Kernel.
locallyPeriodic(_src, _lookback, _period, startAtBar)
Locally Periodic Kernel - The locally periodic kernel is a periodic function that slowly varies with time. It is the product of the Periodic Kernel and the Gaussian Kernel.
Parameters:
_src (float) : The source series.
_lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.
_period (simple int) : The distance between repititions of the function.
startAtBar (simple int)
Returns: yhat The estimated values according to the Locally Periodic Kernel.
NASDAQ to ILS Converterמכפיל את שער המניה בארצות הברית כפול ההמרה של שקל לדולר צריך לכתוב ידנית את הטיקר ואת שער ההמרה בהצלחה
bollinger average support resistance (satish)this indiacator uses bollinger band moving average support and resistance