Fibonacci Renko Candle Trend - AynetThe " Fibonacci Renko Candle Trend - Aynet" Pine Script is an innovative and customizable indicator that merges the concept of Fibonacci retracement levels with Renko charting, a method designed to filter out market noise by focusing purely on price movement. Below is a detailed, scientific explanation of its structure and functionality:
Key Components
1. ATR-Based Renko Chart
ATR Calculation: The script calculates the Average True Range (ATR) over a user-defined period (atrLength). ATR represents market volatility and dynamically determines the Renko box size.
Box Size: The box size is computed as a product of ATR and a user-defined Fibonacci multiplier (fibMultiplier), making it adaptable to changing market conditions.
2. Fibonacci Integration
Fibonacci Levels: Users manually input Fibonacci ratios (e.g., 0.236, 0.382, 0.618, etc.) that are stored in an array. These ratios define potential retracement or extension levels in the Renko chart.
Dynamic Levels: The script iteratively calculates price levels based on the Renko box size and Fibonacci ratios, identifying the next significant level whenever a price crosses a predefined threshold.
3. Renko Candle Construction
Trend Direction: The script dynamically tracks trend changes by comparing the current close price with previous open and close values.
Renko Candles: When price movement exceeds the box size:
Uptrend: A green candle is drawn if the price rises above the current box.
Downtrend: A red candle is drawn if the price falls below the current box.
Coloring: The Renko candles are colored green (uptrend) or red (downtrend) to visually indicate market momentum.
4. Signal Generation
Trend Change Detection: A trend change is identified when the direction of the Renko box changes from upward to downward or vice versa.
Signal Labels: If a trend change occurs, the script generates "LONG" or "SHORT" signals with associated Fibonacci levels. These labels are positioned near the respective candles and displayed with customizable transparency for clarity.
5. Fibonacci Visualization
The script dynamically plots Fibonacci levels as horizontal dashed lines:
Each line corresponds to a specific Fibonacci ratio scaled by the box size.
These lines act as potential support or resistance zones, offering a roadmap for market behavior.
6. User Interface and Customization
Parameters: Users can configure:
ATR period (atrLength).
Fibonacci multipliers and ratios.
Signal label transparency and display settings.
Info Panel: A compact information table displays the computed Renko box size for reference.
Scientific and Trading Use Cases
Noise Filtering: By using Renko charts, the script eliminates time-based noise, allowing traders to focus solely on price action.
Volatility-Based Adaptation: The ATR-based dynamic box size ensures the indicator adapts to market volatility, making it robust across asset classes and market conditions.
Fibonacci-Based Strategy: Incorporating Fibonacci levels provides a structured framework to predict key support and resistance levels, commonly used in retracement and extension strategies.
Signal Precision: By combining Renko and Fibonacci levels, the script identifies trend changes with high precision, aiding traders in timing their entries and exits.
Improvements for Advanced Use
Multi-Timeframe Support: Extend the script to compute Renko levels and Fibonacci ratios across multiple timeframes.
Alert Integration: Add alerts for when price crosses specific Fibonacci levels or when trend changes occur.
Statistical Validation: Enhance the script by integrating a success rate tracker for signals, helping traders evaluate its reliability.
This script is a powerful tool for traders looking for a balance between simplicity and accuracy, leveraging advanced concepts like Fibonacci and Renko to deliver actionable insights.
带和通道
Luminatrades Scalping
This indicator is for entertainment purposes only.
This is not a financial advisor❗
Bollinger Bands movement detectThis indicator, which is my first code to be shared, uses Bollinger bands to identify trend movement. also uses color coding to identify flat markets.
EMA Crossover with RSI Confirmation StrategyExplicación:
Parámetros de Entrada: Se definen los períodos para las EMAs y el RSI, así como los niveles de sobrecompra y sobreventa para el RSI.
Cálculo de Indicadores:
shortEMAValue y longEMAValue calculan las medias móviles exponenciales.
rsi calcula el RSI para el precio de cierre.
Condiciones de Entrada:
Entrada Larga: Cuando la EMA corta cruza por encima de la EMA larga y el RSI está en zona de sobreventa.
Entrada Corta: Cuando la EMA corta cruza por debajo de la EMA larga y el RSI está en zona de sobrecompra.
Entradas: La estrategia abre una posición larga o corta basada en las condiciones definidas.
Visualización: Se trazan las EMAs y el RSI en el gráfico para facilitar la identificación visual de las señales de entrada.
Consideraciones:
Prueba y Optimización: Es crucial probar esta estrategia con datos históricos para evaluar su rendimiento. Ajusta los parámetros de entrada para la optimización, pero ten cuidado con el sobreajuste (overfitting).
Gestión de Riesgo: Esta estrategia no incluye directamente un mecanismo de stop loss o take profit, lo cual es crucial para la gestión de riesgo. Considera añadir estos elementos.
Adaptación a Diferentes Mercados: La estrategia podría necesitar ajustes para diferentes instrumentos financieros o marcos de tiempo.
Condiciones de Salida: Puedes expandir la estrategia añadiendo condiciones para salir de las posiciones, como un cruce inverso de EMAs o niveles específicos de RSI.
Recuerda que no hay garantías en el trading y siempre hay que estar listo para adaptar y mejorar las estrategias ante las cambiantes condiciones del mercado.
3SMMA BUY SELL3 Smoothed Moving Averages (32 Period) with Buy/Sell Signals
This indicator utilizes three Smoothed Moving Averages (SMMA), each calculated over a fixed period of 32 bars, with distinct sources:
SMMA1 is based on the low price.
SMMA2 is based on the high price.
SMMA3 is based on the close price.
The script generates buy and sell signals based on the position of price relative to these moving averages and certain candlestick patterns:
Advanced RSI and EMA StrategyExplicación:
Indicadores Utilizados:
EMA: Para detectar cambios en la tendencia a corto y largo plazo.
RSI: Para identificar condiciones de sobrecompra y sobreventa.
ATR: Para determinar el nivel de volatilidad y ajustar el stop loss y take profit dinámicamente.
Entradas:
Largo: Cuando la EMA corta cruza sobre la EMA larga y el RSI está en zona de sobreventa.
Corto: Cuando la EMA corta cruza bajo la EMA larga y el RSI está en zona de sobrecompra.
Gestión de Riesgo:
Stop Loss: Calculado usando el ATR y un factor de riesgo para adaptarse a la volatilidad del mercado.
Take Profit: También basado en el ATR, pero con un múltiplo mayor para apuntar a mayores ganancias relativas al riesgo asumido.
Esta estrategia intenta capturar momentos de reversión en el mercado, utilizando tanto indicadores de tendencia (EMAs) como de momentum (RSI), combinados con reglas de gestión de riesgo para proteger el capital. Sin embargo, recuerda que:
El trading conlleva riesgos, y esta estrategia debería ser probada exhaustivamente con datos históricos y, preferiblemente, en un entorno simulado antes de su uso con capital real.
La personalización de los parámetros de entrada, como los periodos de los indicadores o el factor de riesgo, puede ser crucial para adaptar la estrategia a diferentes condiciones de mercado o activos.
Auto Support/Resistance & Ichimoku Trendlines1. Description (스크립트 설명)
This script combines trend-following support/resistance zones with Ichimoku-inspired trend lines and multi-timeframe analysis. It includes advanced filters such as Bollinger Bands, RSI, and volume analysis to enhance signal accuracy. The automatic detection of overlapping levels and customizable visual settings makes it ideal for traders looking for dynamic and reliable market insights.
2. Key Features (주요 기능)
Dynamic Support/Resistance Detection
Automatically calculates short-term, medium-term, long-term, and very long-term support/resistance levels.
Highlights overlapping zones with distinct colors for stronger levels.
Ichimoku-Inspired Trend Lines (N, V, E, NT, F)
Incorporates Ichimoku price theories to calculate dynamic trend lines.
Each trend line is customizable in terms of calculation method (SMA, EMA, TEMA, etc.), length, color, and style.
Bollinger Band Integration
Adds Bollinger Bands based on the middle of selected trend lines (E and NT values).
Visually displays market volatility with fill colors and upper/lower bands.
Multi-Timeframe Support/Resistance
Analyzes multiple timeframes (e.g., hourly, 4-hour, daily) for support/resistance levels.
Distinct colors and styles differentiate levels from different timeframes.
Advanced Filters
RSI Filter: Removes invalid signals when RSI is overbought or oversold.
Volume Filter: Ensures signals are only generated during significant volume activity.
Trend Breakout Alerts
Detects when the price breaks above resistance or below support and triggers alerts.
Provides "LONG" or "SHORT" labels on the chart for breakout signals.
Customization Options
Fully adjustable settings for colors, line thickness, styles, and thresholds.
Dynamic overlap threshold for detecting strong zones.
3. How to Use (사용 방법)
Setup
Support/Resistance Levels: Adjust short-term, medium-term, long-term, and very long-term levels to suit your trading strategy.
Ichimoku Trend Lines: Enable or disable N, V, E, NT, and F trend lines and customize their parameters.
Filters
Activate RSI or volume filters to refine signals.
Recommended settings: Use RSI with a length of 14 and volume filter based on 20-period SMA.
Multi-Timeframe Analysis
Enable multiple timeframes for broader market context.
Example: Use 1-hour, 4-hour, and daily timeframes for intraday and swing trading.
Bollinger Bands
Enable Bollinger Bands to visualize volatility.
Adjust the length and multiplier to fit your market analysis.
Interpreting Signals
Breakout Signals:
A breakout above resistance triggers a "SHORT" label.
A breakout below support triggers a "LONG" label.
Overlapping Zones:
Stronger levels are highlighted with distinct colors to indicate high-confidence zones.
Alerts
Set alerts for support/resistance breakouts to get notified of key price movements.
4. Originality (독창성)
This script stands out by integrating multiple advanced features:
Ichimoku Price Theory: Introduces N, V, E, NT, and F values in a fully customizable format.
Dynamic Multi-Timeframe Analysis: Consolidates support/resistance from multiple timeframes for comprehensive market insights.
Bollinger Band Customization: Combines Bollinger Bands with Ichimoku-inspired trend lines for enhanced volatility analysis.
Advanced Filters: Includes RSI and volume filters to improve the reliability of signals.
5. Practical Tips (활용 팁)
Scalping: Use short-term levels (5 and 15) and lower timeframes (1H, 4H).
Swing Trading: Focus on medium and long-term levels (15, 60, 240) with daily timeframes.
Trend Confirmation: Combine this script with moving averages or MACD for additional confirmation of trends.
6. Alerts (알림 설정)
This script provides breakout alerts when the price crosses key support or resistance levels. Set up alerts using the built-in alertcondition for automated notifications.
Support/Resistance Lines Based on Highs and Lows
Low: Support lines are generated based on the lowest price within a specified number of candles.
Example: Lowest price over the last 5, 15, 60, or 240 candles.
High: Resistance lines are generated based on the highest price within a specified number of candles.
Example: Highest price over the last 5, 15, 60, or 240 candles.
Multi-Time Frame (MTF)
Displays support/resistance levels from other timeframes on your current chart.
Example: On a 1-hour chart, you can view levels based on 4-hour or 1-day timeframes.
Lines from different timeframes are differentiated by colors and styles.
Ichimoku Trendlines (N, F, V, E, NT)
N (9): Displays short-term trendlines.
F (17): Displays mid-term trendlines.
V (26): Baseline (similar to the Ichimoku Kijun-sen).
E (52): Mid-to-long-term trendlines.
NT (76): Long-term trendlines for a broader view of the market.
Bollinger Band Channel
The upper and lower bands are used as dynamic support/resistance levels.
Useful for identifying breakout potential in high-volatility zones.
This script automatically generates support/resistance lines based on recent highs/lows. It analyzes levels from short-term to very long-term. Additionally, it provides Ichimoku-based trendlines (N, F, V, E, NT) and Bollinger Bands to help visualize market trends. Alerts are displayed when price breaks key support or resistance levels, providing potential trading signals.
Personally, I created this script based on Bollinger Bands and moving averages derived from Ichimoku price theory, but I often turn those features off as they are not always practical for my use case. For support and resistance lines, multi-timeframe analysis can get too cluttered. Instead, I focus on overlapping levels, which are displayed with adjusted transparency to highlight significant zones.
Feel free to test this script thoroughly and use it in your own analysis. I hope it’s helpful, and I’d appreciate any feedback you might have!
1. 설명 (Description)
이 스크립트는 지지/저항 구간과 일목균형표 기반 추세선을 결합하여, 자동으로 시장의 동적 지지/저항 레벨을 탐지하고 다중 시간 프레임 분석을 제공합니다. Bollinger Bands, RSI, 거래량 필터 등 다양한 필터를 통합하여 신호의 정확도를 높였으며, 중첩된 지지/저항 레벨을 강조하여 더 신뢰도 높은 구간을 시각적으로 표시합니다.
2. 주요 기능 (Key Features)
자동 지지/저항 탐지
단기, 중기, 장기, 초장기 구간의 지지/저항 레벨을 자동 계산.
중첩된 지지/저항 레벨을 색상으로 강조하여 신뢰도 높은 구간을 표시.
일목균형표 기반 추세선 (N, V, E, NT, F)
일목 가격론에 기반한 추세선을 추가 계산.
각 추세선은 계산 방식(SMA, EMA, TEMA 등), 길이, 색상, 스타일을 사용자 정의 가능.
Bollinger Bands 통합
선택한 추세선(E 및 NT 값)을 중심으로 Bollinger Bands를 추가.
상단/하단 밴드와 채널을 시각화하여 변동성을 한눈에 파악 가능.
다중 시간 프레임 지지/저항 분석
다중 시간 프레임(예: 1시간, 4시간, 1일)을 기반으로 지지/저항 레벨을 표시.
각 시간 프레임의 색상과 스타일을 구분하여 명확히 표현.
고급 필터링 기능
RSI 필터: RSI 과매수/과매도 구간에서 잘못된 신호를 제거.
거래량 필터: 거래량이 낮을 때 신호를 제거하여 신뢰도 개선.
추세 돌파 알림
가격이 지지선을 하향 돌파하거나 저항선을 상향 돌파할 경우 알림 제공.
"LONG" 또는 "SHORT" 라벨을 차트에 표시하여 실시간 확인 가능.
사용자 맞춤 설정
색상, 선 두께, 스타일, 중첩 거리 임계값 등 모든 요소를 조정 가능.
3. 사용 방법 (How to Use)
기본 설정
지지/저항 레벨: 단기, 중기, 장기, 초장기 레벨의 길이를 전략에 맞게 조정합니다.
추세선 활성화: N, V, E, NT, F 추세선을 활성화하거나 비활성화할 수 있습니다.
Bollinger Bands: 길이와 배수를 조정하여 변동성을 분석합니다.
필터 설정
RSI 필터와 거래량 필터를 활성화하여 신호 품질을 개선합니다.
기본값: RSI 길이 14, 거래량 필터는 20기간 이동평균 기반.
다중 시간 프레임 분석
다중 시간 프레임(1시간, 4시간, 1일)을 활성화하여 더 넓은 시장 상황을 분석합니다.
설정한 시간 프레임별 지지/저항 레벨이 차트에 표시됩니다.
Bollinger Bands 활용
E와 NT 값을 기반으로 한 Bollinger Bands를 활성화하여 시장 변동성을 분석합니다.
신호 해석
돌파 신호:
저항선을 돌파하면 "SHORT" 라벨 생성.
지지선을 돌파하면 "LONG" 라벨 생성.
중첩된 구간:
중첩된 지지/저항 구간은 더 강력한 레벨로 간주됩니다.
알림 설정
지지/저항 구간 돌파 시 알림(Alert)을 설정하여 실시간으로 시장 변화를 추적합니다.
4. 독창성 (Originality)
이 스크립트는 다음과 같은 독창적인 기능을 제공합니다:
일목 가격론 통합: N, V, E, NT, F 추세선을 도입하여 더 심층적인 시장 분석 제공.
다중 시간 프레임 분석: 하나의 차트에서 다양한 시간 프레임을 통합하여 전체적인 시장 상황을 파악 가능.
Bollinger Bands 통합: Bollinger Bands와 추세선을 결합하여 시장 변동성을 직관적으로 확인.
중첩된 레벨 강조: 중첩된 지지/저항 구간을 자동으로 탐지하고 표시하여 신뢰도를 극대화.
5. 활용 팁 (Practical Tips)
단기 매매: 5~15레벨과 1시간 차트를 사용하여 스캘핑 전략에 적합.
스윙 트레이딩: 60~240레벨과 일봉 차트를 사용하여 중기 추세 변화를 포착.
추세 확인: 이동평균선(MA) 또는 MACD와 결합하여 추가적인 추세 확인 가능.
6. 알림 설정 (Alerts)
스크립트는 지지선 또는 저항선 돌파 시 알림(Alert)을 제공합니다.
TradingView의 alertcondition 기능을 활용하여 주요 신호를 실시간으로 확인할 수 있습니다.
1. 저점/고점 기반 지지/저항선
저점: 지정된 기간 동안의 최저가를 기준으로 지지선을 생성합니다.
예: 최근 5봉, 15봉, 60봉, 240봉 동안의 최저가.
고점: 지정된 기간 동안의 최고가를 기준으로 저항선을 생성합니다.
예: 최근 5봉, 15봉, 60봉, 240봉 동안의 최고가.
2. 다중 시간 프레임(MTF)
현재 차트 외에도 다른 시간 프레임에서 지지/저항선을 표시합니다.
예: 1시간 차트에서 4시간, 1일 기준의 지지/저항 확인.
각 시간 프레임의 선은 색상과 스타일로 구분됩니다.
3. 일목균형표 추세선 (N, F, V, E, NT)
N (9): 단기 추세선을 표시.
F (17): 중기 추세선을 표시.
V (26): 기준선(일목 기준선 역할).
E (52): 중장기 추세.
NT (76): 장기 추세로 큰 그림 확인.
4. 볼린저 밴드 채널
상단 밴드와 하단 밴드를 지지/저항으로 활용.
변동성이 큰 구간에서 추세 돌파 가능성 확인.
저점/고점으로 자동 지지/저항선을 생성합니다.
단기부터 초장기까지 레벨을 분석합니다.
일목 추세선(N, F, V, E, NT)과 볼린저 밴드로 추세를 확인합니다.
추세 돌파 시 알림으로 매매 신호를 제공합니다.
저 같은경우는 볼밴 이랑 이평선들 일목산인 가격론 기반으로 만들었으나 사용처가 애매해서 off 하고 쓰고있습니다. 그리고 지지 저항 선들은 다중프레임 까지 하면 너무 지저분해서 지지 저항선들이 모여있으면 중첩 돼는데 중첩됀 선만 투명도 조절해서 중첩됀선만 표현 하고 쓰고있습니다. 테스트 충분히 해보시고 사용하시면됍니다. 도움됄까 싶긴한데. 피드백 도 주시면 감사합니다~
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Mark First Candle High/Low Breach (Single Mark per Day)orb breakout
marked the day open high and low of first candle and on the breakout it makes a trade
Demo GPT - Bollinger Bands StrategyBuy Condition: A long position is entered when the close > upper (close price is above the upper Bollinger Band).
Sell Condition: The position is closed when the close < lower (close price falls below the lower Bollinger Band).
Sri Yantra MTF - AynetSri Yantra MTF - Aynet Script Overview
This Pine Script generates a Sri Yantra-inspired geometric pattern overlay on price charts. The pattern is dynamically updated based on multi-timeframe (MTF) inputs, utilizing high and low price ranges, and adjusting its size relative to a chosen multiplier.
The Sri Yantra is a sacred geometric figure used in various spiritual and mathematical contexts, symbolizing the interconnectedness of the universe. Here, it is applied to visualize structured price levels.
Scientific and Technical Explanation
Multi-Timeframe Integration:
Base Timeframe (baseRes): This is the primary timeframe for the analysis. The opening price and ATR (Average True Range) are calculated from this timeframe.
Pattern Timeframe (patternRes): Defines the granularity of the pattern. It ensures synchronization with price movements on specific time intervals.
Geometric Construction:
ATR-Based Scaling: The script uses ATR as a volatility measure to dynamically size the geometric pattern. The sizeMult input scales the pattern relative to price volatility.
Pattern Width (barOffset): Defines the horizontal extent of the pattern in terms of bars. This ensures the pattern is aligned with price movements and scales appropriately.
Sri Yantra-Like Geometry:
Outer Square: A bounding box is drawn around the price level.
Triangles: Multiple layers of triangles (primary, secondary, and tertiary) are calculated and drawn to mimic the structure of the Sri Yantra. These triangles converge and diverge based on price levels.
Horizontal Lines: Added at key levels to provide additional structure and aesthetic alignment.
Dynamic Updates:
The pattern recalculates and redraws itself on the last bar of the selected timeframe, ensuring it adapts to real-time price data.
A built-in check identifies new bars in the chosen timeframe (patternRes), ensuring accurate updates.
Information Table:
Displays the selected base and pattern timeframes in a table format on the top-right corner of the chart.
Allows traders to see the active settings for quick adjustments.
Key Inputs
Style Settings:
Pattern Color: Customize the color of the geometric patterns.
Size Multiplier (sizeMult): Adjusts the size of the pattern relative to price movements.
Line Width: Controls the thickness of the geometric lines.
Timeframe Settings:
Base Resolution (baseRes): Timeframe for calculating the pattern's anchor (default: daily).
Pattern Resolution (patternRes): Timeframe granularity for the pattern’s formation.
Geometric Adjustments:
Pattern Width (barOffset): Horizontal width in bars.
ATR Multiplier (rangeSize): Vertical size adjustment based on price volatility.
Scientific Concepts
Volatility Representation:
ATR (Average True Range): A standard measure of market volatility, representing the average range of price movements over a defined period. Here, ATR adjusts the vertical height of the geometric figures.
Geometric Symmetry:
The script emulates symmetry similar to the Sri Yantra, aligning with the principles of sacred geometry, which often appear in nature and mathematical constructs. Symmetry in financial data visualizations can aid in intuitive interpretation of price movements.
Multi-Timeframe Fusion:
Synchronizing patterns with multiple timeframes enhances the relevance of overlays for different trading strategies. For example, daily trends combined with hourly patterns can help traders optimize entries and exits.
Visual Features
Outer Square:
Drawn to encapsulate the geometric structure.
Represents the broader context of price levels.
Triangles:
Three layers of interlocking triangles create a fractal pattern, providing a visual alignment to price dynamics.
Horizontal Lines:
Emphasize critical levels within the pattern, offering visual cues for potential support or resistance areas.
Information Table:
Displays the active timeframe settings, helping traders quickly verify configurations.
Applications
Trend Visualization:
Patterns overlay on price movements provide a clearer view of trend direction and potential reversals.
Volatility Mapping:
ATR-based scaling ensures the pattern adjusts to varying market conditions, making it suitable for different asset classes and trading strategies.
Multi-Timeframe Analysis:
Integrates higher and lower timeframes, enabling traders to spot confluences between short-term and long-term price levels.
Potential Enhancements
Add Fibonacci Levels: Overlay Fibonacci retracements within the pattern for deeper price level insights.
Dynamic Alerts: Include alert conditions when price intersects key geometric lines.
Custom Labels: Add text descriptions for critical intersections or triangle centers.
This script is a unique blend of technical analysis and sacred geometry, providing traders with an innovative way to visualize market dynamics.
Bollinger Bands + Hull SuiteVery simple. Bollinger bands and hull suite. You can use the MA as a overbought/oversold indicator outside of the bollinger bands.
TICKFLOW_FUTURES-ATR-ZONESThe TICKFLOW_FUTURES-ATR-ZONES script is a dynamic indicator designed to help traders identify key zones of price action based on ATR (Average True Range) and Bollinger Bands. This script combines customizable moving averages, volatility-based bands, and trend slope calculations to provide a clear visual framework for analyzing trends, detecting potential reversals, and identifying high-probability buy/sell zones.
Key Features:
Dynamic ATR Zones:
Upper and lower bands are calculated using ATR and adjusted dynamically based on the visible price range, ensuring alignment with current market conditions.
Slope-Based Color Coding:
The middle line (moving average) dynamically changes its color based on the slope to indicate bullish, bearish, or neutral trends.
Bollinger Band Squeeze Detection:
Highlights periods of price contraction using Bollinger Band width, helping identify potential breakout setups.
Buy and Sell Signals:
Displays visual markers (BUY/SELL) based on slope changes and price action relative to the dynamic middle line.
Customizable Inputs:
Includes options to adjust ATR multiplier, Bollinger Band settings, moving average type, slope lookback period, and color preferences.
Visual Zones:
Shaded areas representing ATR-based upper and lower zones for a clear and intuitive price action framework.
Usage Instructions:
Clean Chart:
Use the script on a clean chart for best results. This ensures that the plotted zones, lines, and markers are easily interpretable without interference.
Understanding the Components:
The middle line represents the selected moving average type, providing the directional bias.
Upper and lower zones indicate potential reversal or continuation levels based on ATR.
BUY/SELL markers suggest trend initiation points but should be confirmed with additional analysis.
Customization:
Adjust input parameters (e.g., ATR multiplier, Bollinger Band settings) to fit your trading style and market conditions.
Important Notes:
This script works as a standalone tool and does not require other indicators to function.
Avoid using it with additional scripts on the same chart unless explicitly needed and described in your analysis.
3smma v1 by vams### Script Description for Publication
**Title:** 3 Smoothed Moving Averages (32 Period)
This Pine Script calculates and visualizes three Smoothed Moving Averages (SMMA) based on different price sources: Low, High, and Close. It uses a fixed period of 32 for all calculations. SMMA is a variation of the moving average that provides smoother results by incorporating previous smoothed values into its calculations, making it suitable for trend analysis.
**Features:**
1. **SMMA (Low):** A smoothed moving average calculated using the low prices, plotted in blue.
2. **SMMA (High):** A smoothed moving average calculated using the high prices, plotted in green.
3. **SMMA (Close):** A smoothed moving average calculated using the close prices, plotted in red.
**Use Case:**
- Helps traders identify trends and potential reversal zones by analyzing smoothed price levels.
- Useful for filtering market noise and enhancing decision-making in technical analysis.
This script is designed for overlaying directly on price charts, providing clear and intuitive visualization of SMMA lines. Suitable for all trading styles, including intraday, swing, and positional trading.
RSI on Price Indicator Advanced Multi-Level RSIRSI on Price Indicator | Advanced Multi-Level RSI with Customizable Levels & Background Fill (Free Pine Script for TradingView)
Unlock the full potential of your TradingView charts with the 'RSI on Price NEW' indicator. This free Pine Script offers multi-level RSI bands, customizable overbought/oversold levels, and eye-catching background fills. Perfect for intraday, daily, weekly, or monthly analysis. Enhance your trading strategy today!
Take your trading analysis to the next level with the 'RSI on Price NEW' indicator for TradingView. This powerful and free Pine Script overlay brings the RSI directly onto your price chart, combining multiple levels of RSI calculations for detailed insights. With fully customizable settings for RSI periods, overbought/oversold thresholds, and dynamic color-coded background fills, this script is perfect for traders who want precision and clarity. Whether you're trading intraday, daily, weekly, or monthly charts, this script offers unparalleled versatility. Optimize your trading strategy today with this innovative RSI tool!
Black Line 50 RSI in center
above that 3 line is 60, 70, 80
below black line is 40, 30, 20 RSI
RSI con Bandas de BollingerExplicación:
Parámetros de Entrada: Los usuarios pueden ajustar la longitud del RSI, los niveles de sobrecompra/sobreventa, y la longitud y el multiplicador de desviación estándar para las Bandas de Bollinger.
Cálculo del RSI: Se calcula el RSI con la longitud especificada para identificar condiciones de mercado de sobrecompra o sobreventa.
Cálculo de las Bandas de Bollinger: Se calculan las bandas usando la longitud y el multiplicador de desviación estándar especificados, proporcionando un indicador de la volatilidad del mercado.
Condiciones de Trading:
Compra: Se genera una señal de compra cuando el RSI está por debajo del nivel de sobreventa y el precio está en o por debajo de la banda inferior de Bollinger, indicando una posible reversión hacia una tendencia alcista.
Venta/Cierre de Posición Larga: Se cierra la posición cuando el RSI está por encima del nivel de sobrecompra y el precio está en o por encima de la banda superior de Bollinger, sugiriendo una posible reversión o fin de la tendencia alcista.
EMA y MACD StrategyExplicación:
Parámetros de Entrada: Permiten a los usuarios personalizar la longitud de la EMA rápida y lenta, y los parámetros del MACD.
Cálculos: Se calculan la EMA rápida y lenta, y las líneas del MACD y su señal.
Condiciones de Trading:
LongCondition: Se abre una posición larga cuando la EMA rápida cruza por encima de la EMA lenta y la línea del MACD cruza por encima de la línea de señal.
ShortCondition: Aquí, se cierra la posición larga cuando la EMA rápida cruza por debajo de la EMA lenta y la línea del MACD cruza por debajo de la línea de señal. En este ejemplo, no se abre una posición corta automáticamente.
Entradas y Salidas: Basadas en las condiciones de trading definidas.
Visualización: Las EMAs y las líneas del MACD se trazan en el gráfico para facilitar el seguimiento visual.
Notas:
Gestión de Riesgo: No se ha incluido gestión de riesgo como stop loss o take profit, lo cual es crucial para una estrategia de trading efectiva.
Backtesting: Antes de usar esta estrategia en vivo, asegúrate de hacer un backtest exhaustivo para entender su rendimiento histórico.
Adaptación: Los mercados pueden cambiar, por lo que es importante revisar y ajustar la estrategia según sea necesario.
MegaGas Bollinger Bands with Divergence and Circle SignalsIndicator: MegaGas Bollinger Bands with Divergence and Circle Signals
This script provides a powerful combination of Bollinger Bands, RSI Divergence detection, and signal visualization tools. Designed with flexibility and precision in mind, it aims to assist traders in identifying trend reversals, volatility zones, and divergence-based trading opportunities. The script is well-suited for swing trading, momentum trading, and even scalping when adapted to lower timeframes.
How It Works:
Bollinger Bands:
Bollinger Bands are used to detect price volatility and overbought/oversold conditions. The script calculates:
Basis Line: A 34-period Simple Moving Average (SMA) as the core trend line.
Upper Bands: Bands positioned 1x and 2x the standard deviation above the SMA.
Lower Bands: Bands positioned 1x and 2x the standard deviation below the SMA. These levels provide dynamic support and resistance zones, highlighting breakout and reversion opportunities.
RSI Divergence Detection:
The indicator detects bullish divergence (when RSI forms a higher low while price forms a lower low) and bearish divergence (when RSI forms a lower high while price forms a higher high). These divergences often precede significant reversals or momentum shifts.
Bullish divergence is displayed with blue triangles (up).
Bearish divergence is displayed with orange triangles (down).
Buy and Sell Signals:
Circle Signals are generated when price crosses key Bollinger Bands levels:
A green circle appears when the price crosses above the lower band (potential buy signal).
A red circle appears when the price crosses below the upper band (potential sell signal).
These signals help identify potential entry and exit points for trades, particularly in trend-following or mean-reversion strategies.
Trend Reference (Moving Average):
A 50-period Simple Moving Average (SMA) is included as a trend reference, helping traders gauge the overall market direction. Use this to confirm divergence signals and avoid trades against the prevailing trend.
Why This Indicator Is Unique:
This script integrates multiple tools in a meaningful way, emphasizing contextual trading signals. Unlike standalone Bollinger Bands or RSI indicators, it introduces:
Advanced Divergence Analysis: Enhancing traditional RSI with divergence-based alerts.
Dynamic Signal Filtering: Preventing repetitive signals by introducing state-based logic for circles and divergence signals.
Trend Alignment: Combining Bollinger Bands with an SMA to filter trades based on the prevailing trend.
How to Use:
Setup:
Apply the indicator to any chart and timeframe. For swing trading, higher timeframes like 4H or 1D are recommended.
Adjust the RSI, Bollinger Bands, and Moving Average lengths to match your strategy and asset.
Signals:
Look for divergence signals (triangles) as early warnings of trend reversals. Confirm these with price action or other tools.
Use circle signals (green/red) to time potential entries/exits around Bollinger Band extremes.
Confirmation:
Combine divergence and circle signals with the SMA line to avoid counter-trend trades. For example, take bullish signals when the price is above the SMA and bearish signals when it is below.
Chart Clarity:
The script is published with a clean chart for clarity. It visualizes all signals with distinct shapes (triangles and circles) and colors, ensuring they are easily recognizable. Bollinger Bands and the SMA are plotted with transparency to avoid clutter.
Originality:
This script is a thoughtful blend of Bollinger Bands and RSI divergence detection, carefully designed to provide traders with actionable insights. It introduces state-based logic to manage repetitive signals and seamlessly integrates trend filtering, making it a valuable tool for both novice and experienced traders.
NQ Strategy Optimized with Explicit Position Closuresema strategy with ichimoku cloud indicator. it uses the 9, 21, and 50 ema and the ichimoku to enter longs or shorts according to the ema crosses. its decently profitable, just a test
Demo GPT Vartent - Bollinger BandsTrading Strategy Description:
This strategy is designed to provide clear and actionable insights for traders by combining a set of technical indicators, price action analysis, and risk management principles. It aims to identify high-probability trade setups in trending or ranging market conditions while minimizing risk exposure.
▎Key Components of the Strategy:
1. Trend Identification:
• The strategy uses moving averages (e.g., EMA/SMA) to determine the overall market trend. A bullish trend is identified when the shorter-term moving average (e.g., 20 EMA) is above the longer-term moving average (e.g., 50 EMA). Conversely, a bearish trend is confirmed when the shorter-term moving average is below the longer-term moving average.
• Additional confirmation can be taken from higher timeframes to align with the dominant market direction.
2. Entry Signals:
• Buy Entry: A long position is triggered when the price breaks above a key resistance level or shows strong bullish momentum, confirmed by indicators like RSI (above 50), MACD crossover, or a bullish candlestick pattern (e.g., engulfing candle).
• Sell Entry: A short position is initiated when the price breaks below a key support level or exhibits bearish momentum, validated by indicators like RSI (below 50), MACD crossover, or a bearish candlestick pattern.
3. Indicator Filters:
• RSI (Relative Strength Index): Used to avoid overbought/oversold conditions. Trades are avoided when RSI is above 70 (overbought) or below 30 (oversold) unless there are signs of divergence.
• MACD (Moving Average Convergence Divergence): Helps confirm momentum shifts with crossovers of the MACD line and signal line.
• Volume Analysis: Increased volume on breakouts or breakdowns adds strength to the signal.
4. Risk Management:
• Stop Loss: Every trade includes a predefined stop loss to limit potential losses. For long positions, the stop loss is placed below the recent swing low or support level. For short positions, it is placed above the recent swing high or resistance level.
• Take Profit: Target levels are set based on key Fibonacci retracement/extensions, previous support/resistance zones, or a fixed risk-to-reward ratio (e.g., 1:2 or 1:3).
• Position Sizing: Lot sizes are calculated based on account size and risk tolerance (e.g., risking 1-2% of account equity per trade).
5. Exit Strategy:
• Partial Profit-Taking: A portion of the position may be closed at intermediate profit levels to secure gains while leaving some exposure for extended moves.
• Trailing Stop: A trailing stop is used to lock in profits as the trade moves in the desired direction.
• Exit on Reversal Signals: Trades are exited if opposing signals appear, such as RSI divergence, MACD crossovers against the trade direction, or a breakout failure.
6. Additional Features:
• Multi-Timeframe Analysis: The strategy incorporates analysis from higher timeframes to confirm trends and avoid false signals.
• Alerts and Notifications: Alerts are set up to notify traders of potential entry/exit points based on strategy rules.
• Customizable Parameters: Users can adjust indicator settings (e.g., RSI period, moving average lengths) and risk settings to suit their trading style.
Estrategia CombinadaPara crear una estrategia en Pine Script que sea un poco más avanzada, podemos combinar varios indicadores populares como el MACD (Moving Average Convergence Divergence), el Índice de Fuerza Relativa (RSI) y las Bandas de Bollinger. Este enfoque busca confirmación en múltiples indicadores para reducir falsas señales y aumentar la probabilidad de éxito en las entradas y salidas del mercado.
Aquí te muestro cómo podrías implementar esta estrategia en Pine Script:
```pinescript
//@version=5
strategy("Estrategia Combinada", overlay=true)
// Parámetros de entrada
rsiLength = input(14, title="RSI Length")
rsiOverbought = input(70, title="RSI Overbought Level")
rsiOversold = input(30, title="RSI Oversold Level")
bbLength = input(20, title="BB Length")
bbMult = input(2.0, title="BB StdDev Multiplier")
macdFast = input(12, title="MACD Fast")
macdSlow = input(26, title="MACD Slow")
macdSignal = input(9, title="MACD Signal")
// Cálculos de los indicadores
rsi = ta.rsi(close, rsiLength)
= ta.bb(close, bbLength, bbMult)
= ta.macd(close, macdFast, macdSlow, macdSignal)
// Señales de trading
buySignal = rsi < rsiOversold and close < bbLower and ta.crossover(macdLine, signalLine)
sellSignal = rsi > rsiOverbought and close > bbUpper and ta.crossunder(macdLine, signalLine)
// Estrategia de entrada y salida
if (buySignal)
strategy.entry("Long", strategy.long)
if (sellSignal)
strategy.close("Long") // En este ejemplo, solo cerramos la posición larga, no abrimos cortas.
// Visualización
plot(bbUpper, "BB Upper", color=color.red)
plot(bbMiddle, "BB Middle", color=color.blue)
plot(bbLower, "BB Lower", color=color.green)
plot(rsi, "RSI", color=color.purple, display=display.none) // El RSI se calcula pero no se muestra en el gráfico principal.
plot(macdLine, "MACD", color=color.blue, display=display.none) // El MACD se calcula pero no se muestra en el gráfico principal.
plot(signalLine, "Signal", color=color.orange, display=display.none) // La señal del MACD se calcula pero no se muestra en el gráfico principal.
```
### Explicación:
- **Parámetros de Entrada**: Permiten a los usuarios ajustar los parámetros de los indicadores según su preferencia o el activo que estén analizando.
- **Cálculos de Indicadores**: Se calculan el RSI, las Bandas de Bollinger y el MACD con sus respectivos parámetros.
- **Señales de Trading**:
- **Compra (Long)**: Se genera una señal de compra cuando el RSI está en zona de sobreventa, el precio está por debajo de la banda inferior de Bollinger y el MACD cruza su línea de señal hacia arriba, indicando un potencial cambio de tendencia a alcista.
- **Venta (Close Long Position)**: Se genera una señal para cerrar la posición larga cuando el RSI está en zona de sobrecompra, el precio está por encima de la banda superior de Bollinger y el MACD cruza su línea de señal hacia abajo, sugiriendo un cambio potencial a una tendencia bajista.
- **Visualización**: Las bandas de Bollinger se muestran en el gráfico para facilitar la interpretación visual, mientras que los otros indicadores se calculan pero no se muestran por defecto en el gráfico principal para mantener la claridad.
Esta estrategia busca confirmación en múltiples indicadores para aumentar la robustez de las señales de trading. Recuerda que esta es una plantilla básica y puede necesitar ajustes y optimización para funcionar mejor con diferentes activos o condiciones de mercado. Además, considera agregar reglas de gestión de riesgos y realizar pruebas exhaustivas antes de aplicar la estrategia en trading real.
Bollinger Bands Short Strategy//@version=5
strategy("Bollinger Bands Short Strategy", overlay=true)
// Bollinger Bands inställningar
length = input.int(20, minval=1, title="BB Length")
maType = input.string("SMA", "Basis MA Type", options= )
src = input(close, title="Source")
mult = input.float(2.0, minval=0.001, maxval=50, title="StdDev")
// Funktion för att beräkna rörligt medelvärde
ma(source, length, _type) =>
switch _type
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Bollinger Bands beräkning
basis = ma(src, length, maType)
dev = mult * ta.stdev(src, length)
upper = basis + dev
lower = basis - dev
// Variabel för att spåra kort position-status
var bool inShortPosition = false
// Kort- och stängningssignaler
shortSignal = (not inShortPosition) and (close >= upper)
closeShortSignal = inShortPosition and (close <= lower)
// Utför handel
if shortSignal
strategy.entry("Short", strategy.short)
inShortPosition := true
if closeShortSignal
strategy.close("Short")
inShortPosition := false
// Visualisera Bollinger Bands
plot(basis, "Basis", color=#2962FF)
plot(upper, "Upper", color=#F23645)
plot(lower, "Lower", color=#089981)
Sessions ny vizScript Purpose
This indicator draws a colored background during the New York trading session. It's useful for traders who want to have a visual overview of when the American (NY) trading session is active.
Main Features
NY Session Visualization - draws a gray bar in the background of the chart during NY trading hours (15:00-19:00 CET)
Customization - allows users to:
Set custom session time range
Adjust background color and transparency
Limit display to only the last 24 hours
Input Parameters
sessionRange - session time range (default 15:00-19:00 CET)
sessionColour - background color (default gray with 90% transparency)
onlyLast24Hours - toggle for showing only the last 24 hours (default false)
Technical Details
Script is written in Pine Script version 5
Uses UNIX timestamp for time period calculations
Runs as an overlay indicator (overlay=true), meaning it displays directly on the price chart
Uses the bgcolor() function for background rendering
Contains logic to check if current time is within defined session
Usage
This indicator is useful for:
Monitoring active NY trading session hours
Planning trades during the most liquid hours of the US market
Visual orientation in the chart during different trading sessions
