Prediction Based on Linreg & Atr
We created this algorithm with the goal of predicting future prices 📊, specifically where the value of any asset will go in the next 20 periods ⏳. It uses linear regression based on past prices, calculating a slope and an intercept to forecast future behavior 🔮. This prediction is then adjusted according to market volatility, measured by the ATR 📉, and the direction of trend signals, which are based on the MACD and moving averages 📈.
How Does the Linreg & ATR Prediction Work?
1. Trend Calculation and Signals:
o Technical Indicators: We use short- and long-term exponential moving averages (EMA), RSI, MACD, and Bollinger Bands 📊 to assess market direction and sentiment (not visually presented in the script).
o Calculation Functions: These include functions to calculate slope, average, intercept, standard deviation, and Pearson's R, which are crucial for regression analysis 📉.
2. Predicting Future Prices:
o Linear Regression: The algorithm calculates the slope, average, and intercept of past prices to create a regression channel 📈, helping to predict the range of future prices 🔮.
o Standard Deviation and Pearson's R: These metrics determine the strength of the regression 🔍.
3. Adjusting the Prediction:
o The predicted value is adjusted by considering market volatility (ATR 📉) and the direction of trend signals 🔮, ensuring that the prediction is aligned with the current market environment 🌍.
4. Visualization:
o Prediction Lines and Bands: The algorithm plots lines that display the predicted future price along with a prediction range (upper and lower bounds) 📉📈.
5. EMA Cross Signals:
o EMA Conditions and Total Score: A bullish crossover signal is generated when the total score is positive and the short EMA crosses above the long EMA 📈. A bearish crossover signal is generated when the total score is negative and the short EMA crosses below the long EMA 📉.
6. Additional Considerations:
o Multi-Timeframe Regression Channel: The script calculates regression channels for different timeframes (5m, 15m, 30m, 4h) ⏳, helping determine the overall market direction 📊 (not visually presented).
Confidence Interpretation:
• High Confidence (close to 100%): Indicates strong alignment between timeframes with a clear trend (bullish or bearish) 🔥.
• Low Confidence (close to 0%): Shows disagreement or weak signals between timeframes ⚠️.
Confidence complements the interpretation of the prediction range and expected direction 🔮, aiding in decision-making for market entry or exit 🚀.
Español
Creamos este algoritmo con el objetivo de predecir los precios futuros 📊, específicamente hacia dónde irá el valor de cualquier activo en los próximos 20 períodos ⏳. Utiliza regresión lineal basada en los precios pasados, calculando una pendiente y una intersección para prever el comportamiento futuro 🔮. Esta predicción se ajusta según la volatilidad del mercado, medida por el ATR 📉, y la dirección de las señales de tendencia, que se basan en el MACD y las medias móviles 📈.
¿Cómo Funciona la Predicción con Linreg & ATR?
Cálculo de Tendencias y Señales:
Indicadores Técnicos: Usamos medias móviles exponenciales (EMA) a corto y largo plazo, RSI, MACD y Bandas de Bollinger 📊 para evaluar la dirección y el sentimiento del mercado (no presentados visualmente en el script).
Funciones de Cálculo: Incluye funciones para calcular pendiente, media, intersección, desviación estándar y el coeficiente de correlación de Pearson, esenciales para el análisis de regresión 📉.
Predicción de Precios Futuros:
Regresión Lineal: El algoritmo calcula la pendiente, la media y la intersección de los precios pasados para crear un canal de regresión 📈, ayudando a predecir el rango de precios futuros 🔮.
Desviación Estándar y Pearson's R: Estas métricas determinan la fuerza de la regresión 🔍.
Ajuste de la Predicción:
El valor predicho se ajusta considerando la volatilidad del mercado (ATR 📉) y la dirección de las señales de tendencia 🔮, asegurando que la predicción esté alineada con el entorno actual del mercado 🌍.
Visualización:
Líneas y Bandas de Predicción: El algoritmo traza líneas que muestran el precio futuro predicho, junto con un rango de predicción (límites superior e inferior) 📉📈.
Señales de Cruce de EMAs:
Condiciones de EMAs y Puntaje Total: Se genera una señal de cruce alcista cuando el puntaje total es positivo y la EMA corta cruza por encima de la EMA larga 📈. Se genera una señal de cruce bajista cuando el puntaje total es negativo y la EMA corta cruza por debajo de la EMA larga 📉.
Consideraciones Adicionales:
Canal de Regresión Multi-Timeframe: El script calcula canales de regresión para diferentes marcos de tiempo (5m, 15m, 30m, 4h) ⏳, ayudando a determinar la dirección general del mercado 📊 (no presentado visualmente).
Interpretación de la Confianza:
Alta Confianza (cerca del 100%): Indica una fuerte alineación entre los marcos temporales con una tendencia clara (alcista o bajista) 🔥.
Baja Confianza (cerca del 0%): Muestra desacuerdo o señales débiles entre los marcos temporales ⚠️.
La confianza complementa la interpretación del rango de predicción y la dirección esperada 🔮, ayudando en las decisiones de entrada o salida en el mercado 🚀.
Komut dosyalarını "RSI MACD" için ara
Ultimate Multi-Physics Financial IndicatorThe Ultimate Multi-Physics Financial Indicator is an advanced Pine Script designed to combine various complex theories from physics, mathematics, and statistical mechanics to create a holistic, multi-dimensional approach to market analysis. Let’s break down the core concepts and how they’re applied in this script:
1. Fractal Geometry: Recursive Pattern Recognition
Purpose: This part of the script uses fractal geometry to recursively analyze price pivots (highs and lows) for detecting patterns.
Fractals: The fractalHigh and fractalLow signals represent key turning points in the market. The script goes deeper by recursively analyzing layers of pivot sequences, adding "depth" to the recognition of patterns.
Recursive Depth: It breaks down each detected pivot into smaller components, giving more nuance to market pattern recognition. This provides a broader context for how prices have behaved historically at various levels of recursion.
2. Quantum Mechanics: Adaptive Probabilistic Monte Carlo with Correlation
Purpose: This component integrates randomness (from Monte Carlo simulations) with current market behavior using correlation.
Randomness Weighted by Correlation: By generating random probabilities and weighting them based on how well the market aligns with recent trends, it creates a probabilistic signal. The random values are scaled by a correlation factor (close prices and their moving average), adding adaptive elements where randomness is adjusted by current market conditions.
3. Thermodynamics: Adaptive Efficiency Ratio (Entropy-Like Decay)
Purpose: This section uses principles from thermodynamics, where efficiency in price movement is dynamically adjusted by recent volatility and changes.
Efficiency Ratio: It calculates how efficiently the market is moving over a certain period. The "entropy decay factor" reflects how stable the market is. Higher entropy (chaos) results in lower efficiency, while stable periods maintain higher efficiency.
4. Chaos Theory: Lorenz-Driven Market Oscillation
Purpose: Instead of using a basic Average True Range (ATR) indicator, this section applies chaos theory (using a Lorenz attractor analogy) to describe complex market oscillations.
Lorenz Attractor: This models market behavior with a chaotic system that depends on the historical price changes at different time intervals. The attractor value quantifies the level of "chaos" or unpredictability in the market.
5. String Theory: Multi-Layered Dimensional Analysis of RSI and MACD
Purpose: Combines traditional indicators like the RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) with momentum for multi-dimensional analysis.
Interaction of Layers: Each layer (RSI, MACD, and momentum) is treated as part of a multi-dimensional structure, where they influence one another. The final signal is a blended outcome of these key metrics, weighted and averaged for complexity.
6. Fluid Dynamics: Adaptive OBV (Pressure-Based)
Purpose: This section uses fluid dynamics to understand how price movement and volume create pressure over time, similar to how fluids behave under different forces.
Adaptive OBV: Traditional OBV (On-Balance Volume) is adapted by using statistical smoothing to measure the "pressure" exerted by volume over time. The result is a signal that shows where there might be building momentum or pressure in the market based on volume dynamics.
7. Recursive Synthesis of Signals
Purpose: After calculating all the individual signals (fractal, quantum, thermodynamic, chaos, string, and fluid), the script synthesizes them into one cohesive signal.
Recursive Feedback Loop: Each signal is recursively influenced by others, forming a feedback loop that allows the indicator to continuously learn from new data and self-adjust.
8. Signal Smoothing and Final Output
Purpose: To avoid noise in the output, the final combined signal is smoothed using an Exponential Moving Average (EMA), which helps stabilize the output for easier interpretation.
9. Dynamic Color Coding Based on Signal Extremes
Purpose: Visual clarity is enhanced by using color to highlight different levels of signal strength.
Color Coding: The script dynamically adjusts colors (green, orange, red) based on the strength of the final signal relative to its percentile ranking in historical data, making it easier to spot bullish, neutral, or bearish signals.
The "Ultimate Multi-Physics Financial Indicator" integrates a diverse array of scientific principles — fractal geometry, quantum mechanics, thermodynamics, chaos theory, string theory, and fluid dynamics — to provide a comprehensive market analysis tool. By combining probabilistic simulations, multi-dimensional technical indicators, and recursive feedback loops, this indicator adapts dynamically to evolving market conditions, giving traders a holistic view of market behavior across various dimensions. The result is an adaptive and flexible tool that responds to both short-term and long-term market changes
[GL3] SMA & EMA Crossover Ribbon with Reactive Gradient CloudsGL3] SMA & EMA Crossover Ribbon with Reactive Gradient Clouds
This indicator provides a powerful blend of technical analysis tools, integrating multiple moving averages, such as Simple Moving Average (SMA) and Exponential Moving Average (EMA), along with custom moving averages like Kaufman's Adaptive Moving Average (KAMA), Jurik Moving Average (JMA), and others. The crossover strategy aims to identify trend changes with precision across different timeframes.
Key Features:
Crossover Ribbon: A set of 5 moving average pairs to capture short-, mid-, and long-term trends. The crossover between the leading and trigger lines visually indicates potential buy (uptrend) and sell (downtrend) signals.
Reactive Gradient Clouds: Dynamically color-coded clouds that visualize momentum shifts using Stochastic, RSI, MACD, and Chande Momentum. These clouds help to react faster to price changes and confirm trends:
Stochastic Cloud: Blue for bullish and Orange for bearish trends.
RSI Cloud: Purple for bullish and Yellow for bearish trends.
MACD Cloud: Green for bullish and Red for bearish trends.
Chande Momentum Cloud: Aqua for bullish and Fuchsia for bearish trends.
Alerts: Custom alerts for significant crossovers in Stochastic, RSI, MACD, and Chande Momentum, allowing traders to stay informed of potential trend reversals.
Customizable Inputs: Flexible configuration for various moving averages, lengths, and source types, along with options to show/hide gradient clouds for each momentum indicator.
This indicator is designed for traders looking to capture multiple levels of trend direction and momentum shifts. The combination of crossovers and clouds provides a clear trend direction and quicker reaction to market moves, making it a versatile tool for various trading strategies.
Disclaimer: Past performance is not indicative of future results. Always use additional risk management tools and trade responsibly
OnChart - SuiteThe Motivation Behind OnChart Suite
In the dynamic world of trading, the ability to interpret market trends and make timely decisions is paramount. OnChart Suite was developed to empower traders by offering a comprehensive suite of tools that combine advanced analysis with intuitive user experience. The goal is to support traders in navigating complex market environments, helping them refine their strategies and gain a deeper understanding of price movements.
█ Key Features
🤖 ApexAlphaClouds: Identifies potential price rejections or breakthroughs by analyzing dynamic price ranges.
🔢 Matrix Algo: Offers multi-timeframe trend sentiment analysis using key market indicators.
🎯 CandleSniper: Detects key decision points based on phase calculation and Fibonacci levels.
🧲 MagnetZone Horizon: Highlights strategic price zones that can act as smart FVGs.
🟢 NeonZenith: Combines trend analysis with decision points and Fibonacci targets.
█ How These Tools Work Together
OnChart Suite integrates each of these powerful tools to provide traders with a comprehensive analysis framework. By combining the ApexAlphaClouds for price movement intuition, the Matrix Algo for trend sentiment, the CandleSniper for decision points, the MagnetZone Horizon for strategic price zones, and the NeonZenith for trend and target analysis, traders can develop robust trading strategies. This integration ensures that traders have access to multiple perspectives on market conditions, enhancing their ability to make calculated decisions.
█ Detailed Feature Explanations:
--------------🤖 ApexAlphaClouds --------------
How the Tool Can Help Traders
The `ApexAlphaClouds` indicator is designed to assist traders by identifying dynamic price ranges where the market tends to consolidate, which are critical for making informed trading decisions. The tool uses an ML algorithm to analyze high-price data over a set period and determines key levels on the chart, which are visualized as "clouds." These clouds represent potential support and resistance areas, where price action is likely to pause, reverse, or experience increased volatility.
The primary benefit for traders is the ability to identify these key zones in real-time, allowing them to anticipate potential market movements and plan trades accordingly. For example, if a trader sees that price is approaching a cloud boundary, they might expect a reversal or a breakout, depending on the broader market context. This can be particularly useful in range-bound markets or when looking for potential entry and exit points in trending markets.
How Traders Can Use the Indicator
Identifying Support and Resistance:
The clouds plotted by the `ApexAlphaClouds` indicator can be used to identify dynamic support and resistance levels. Traders can watch how the price reacts when it enters these clouds. If the price bounces off a lower cloud, it may suggest support, while a rejection from an upper could indicate resistance.
Trend Reversals and Continuations:
The indicator's middle cloud can help identify potential trend reversals. If price moves through the middle cloud and continues in the same direction, it could indicate a trend continuation. Conversely, if price reverses within the middle cloud, it might signal a potential trend reversal.
Volatility and Breakouts:
The distance between the upper and lower clouds can give traders an idea of market volatility. Narrow clouds suggest low volatility, which may precede a breakout, while wide clouds indicate higher volatility, where prices might oscillate within the range.
Settings Input and Their Effects
’ApexAlphaClouds` (Toggle) -This setting allows the trader to enable or disable the `ApexAlphaClouds` indicator on their chart.
Effect: When enabled, the clouds representing dynamic price ranges will be displayed on the chart. Disabling this will hide the indicator’s outputs.
Target Area Size - This setting determines the number of bars (length) the algorithm considers when collecting high prices for clustering.
Effect: A larger value will make the indicator consider a broader historical range, potentially smoothing out the clouds and identifying longer-term price ranges. A smaller value will focus on more recent price action, which might be useful for short-term trading strategies.
Accuracy - This setting specifies the number of groups that the algorithm will try to identify within the selected data range.
Effect: A higher value increases the number of identified clusters, making the indicator more sensitive to minor fluctuations in price. This can be useful for traders looking to identify multiple potential reversal points. A lower value will focus on the most prominent price clusters, which may be more relevant for long-term analysis.
Maximum Calibration - This setting controls the maximum number of iterations the machine learning algorithm will perform to find the optimal clusters.
Effect: Increasing allows the algorithm more time to refine the clusters, potentially leading to more accurate and stable clouds. However, it may also increase the computation time. Decreasing this value may speed up the process but could result in less accurate clustering.
Wide Range Calibration - This setting determines the maximum number of bars the algorithm will consider when applying the clustering.
Effect: A larger value allows the algorithm to analyse a wider range of historical data, which can help identify significant long-term price ranges. A smaller value will limit the analysis to more recent data, which might be preferable for traders focused on short-term movements.
Smoothing Factor - This setting applies a smoothing function to the clouds, reducing noise and making the price ranges more visually consistent.
Effect :A higher smoothing factor will produce smoother, more consistent clouds, which might be beneficial in volatile markets to avoid false signals. A lower smoothing factor will make the clouds more responsive to recent price changes, which could be useful for scalping or short-term trading strategies.
Usage Scenarios
Scalping:
Traders using short-term strategies might set Accuracy to a smaller value and reduce the Smoothing Factor to make the clouds more responsive to recent price action. This helps in identifying quick reversal points.
Swing Trading:
Swing traders could use a larger Target Area Size and increase Accuracy to identify key price ranges that have held over longer periods. Adjusting Wide Range Calibration to a higher value allows them to consider broader historical trends.
Trend Following:
By observing how price interacts with the clouds, trend-following traders can look for breakouts or breakdowns from the clouds to confirm entry points in the direction of the trend.
Volatility Management:
Traders can monitor the width of the clouds to gauge market volatility and adjust their strategies accordingly, tightening stops in narrow cloud ranges or widening them in broader ranges.
Conclusion
The `ApexAlphaClouds` indicator is a powerful tool for traders looking to analyze price action with a focus on dynamic price ranges. By understanding and utilizing the settings, traders can customize the indicator to fit their specific trading strategies, whether they are scalping, swing trading, or trend following. The key is to adjust the inputs based on the market context and trading goals, using the clouds as a visual guide to anticipate market movements and make informed decisions.
--------------🔢 Matrix Algo --------------
Matrix Algo is a multi-timeframe (MTF) tool designed to provide traders with a comprehensive view of market conditions across different timeframes using a combination of popular technical indicators. The indicator aggregates data from RSI, MACD, and Bollinger Bands across multiple timeframes, presenting this information in a matrix format to help traders make informed decisions based on a complete market overview. This allows traders to quickly assess the overall market sentiment and trend direction without having to manually check each indicator on different timeframes. By offering a bird’s-eye view of the market conditions.
How Traders Can Use Matrix Algo?
Identify Trends and Reversals: By analysing the matrix, traders can identify whether the market is bullish, bearish, or in consolidation across different timeframes.
Confirm Signals: The Matrix Algo can confirm signals from other trading strategies by providing additional context from multiple indicators across several timeframes.
Settings:
Toggle individual timeframes - (Monthly, Weekly, 3D, Daily, 4h, etc.) to include or exclude from the matrix.
Effect: The matrix displays whether the market conditions are favorable (green) or unfavorable (red) for each indicator and timeframe combination. This color-coded information helps traders quickly assess the market situation.
--------------🎯 CandleSniper --------------
Overview:
The CandleSniper indicator is designed to identify potential turning points in the market by combining various technical analysis tools. It leverages a combination of the MACD indicator, advanced phase analysis technique, and Fibonacci levels to highlight moments where price action may be reversing. This helps traders spot divergence opportunities and set potential target levels.
Explanation
MACD Divergence with Phase Analysis:
The indicator leverages the MACD (Moving Average Convergence Divergence) to identify divergences, which can indicate potential reversal points in the market. The MACD is computed using standard short and long lengths, along with a signal line.
An advanced phase analysis technique is employed to measure the difference between price and its moving averages, enabling the identification of cyclical turning points in the market
A potential bullish decision point is identified when the MACD line crosses above the signal line during a cyclical turning point. Conversely, a potential bearish decision point is identified when the MACD line crosses below the signal line during a cyclical turning point.
Fibonacci Levels for Targeting:
The indicator calculates Fibonacci extension levels based on recent price swings to provide target levels for potential price movements.
For a bullish setup, the indicator identifies levels above the current price as potential targets, while for a bearish setup, it identifies levels below the current price.
Fib Filter Line:
The Fib Filter Line is represented in purple for bullish turning points and white for bearish turning points. These lines serve as additional filters to help traders identify stronger, more reliable turning points in the market. Designed for those who prefer a more conservative approach, the Fib Filter Line offers an extra layer of confirmation based on price movements, allowing traders to filter out weaker signals and focus on more significant market shifts.
Inputs and Settings:
lookbackPeriod: Defines the period over which the indicator looks back to calculate the Fibonacci levels. Adjusting this setting can change the sensitivity of the decision points.
Dimmer and DimmerPeriod: These settings control the smoothing applied to the price data before the phase calculation. They help in reducing noise and ensuring that only significant price movements are considered for decision points.
How to Use:
Traders can use the CandleSniper indicator to identify potential decision points by observing the color changes on the bars and the plotted Fibonacci levels:
🟢 Bullish Decision Points:
When the indicator detects a bullish divergence, it highlights the bars in purple and plots potential upward Fibonacci levels as targets.
🔴 Bearish Decision Points:
When a bearish divergence is detected, the indicator highlights the bars in white and plots downward Fibonacci levels as targets.
These decision points can help traders identify when the market might be ready for a reversal or continuation or even use as a start point from where the trader can start his own analysis
Combining with Other Tools
The CandleSniper indicator can be combined with other OnChart tools to create a comprehensive trading framework:
🔢 Matrix Algo:
Use Matrix Algo to assess the overall market sentiment across multiple timeframes, then apply CandleSniper for pinpointing specific entry or exit points.
🤖 ApexAlphaClouds:
Overlay ApexAlphaClouds to visualise dynamic price ranges, using CandleSniper to identify decision points within these ranges.
This combination allows traders to develop a robust trading strategy that considers broader market trends and specific price action signal intuition.
--------------🧲 MagnetZone Horizon --------------
Overview:
The MagnetZone Horizon indicator is a specialized tool designed to identify potential gaps between two significant changes in the Average True Range (ATR). These gaps, calculated dynamically, serve as areas where the price might react, often acting as smart Fair Value Gaps (FVG). By highlighting these zones, traders can gain insights into where the market might find support, resistance, or potential reversal points.
How Traders Can Use This Indicator:
Identifying Smart Fair Value Gaps:
The MagnetZone Horizon indicator helps traders locate gaps between ATR shifts that are likely to act as significant decision points. These gaps can indicate areas where price corrections or consolidations might occur, providing opportunities for strategic entries or exits.
Adaptive Support and Resistance:
The levels calculated by the indicator adjust according to market volatility, offering dynamic support and resistance zones. These zones are particularly useful in identifying potential reversals or continuation patterns.
Volatility-Based Trading:
Since the indicator bases its calculations on ATR, it inherently adjusts to market conditions, allowing traders to align their strategies with the current level of volatility. This adaptability makes it suitable for both trending and range-bound markets.
Settings and Their Impact:
MagnetZone Horizon (Enable/Disable): This toggle allows traders to activate or deactivate the visualization of the MagnetZone Horizon on their charts.
Factor: This setting multiplies the ATR to scale the detected gaps. A higher factor results in broader zones, which might capture more significant market movements, while a lower factor creates tighter zones for more precise analysis.
Factor=5
Factor=7
Division: This setting works in conjunction with the Factor to further refine the gap calculations. Adjusting the Division setting allows traders to fine-tune how sensitive the indicator is to ATR changes, which can help in pinpointing more precise smart FVGs.
Use Cases:
Gap Trading:
Traders can use the identified gaps as potential areas to enter or exit trades, particularly if the price approaches these smart FVGs. The idea is to capitalize on the likelihood that the market will react to these gaps.
Reversal Identification:
The zones marked by the MagnetZone Horizon can indicate potential reversal points, especially in volatile markets where significant ATR changes suggest a shift in market sentiment.
Trend Continuation or Rejection:
By monitoring how the price interacts with these dynamically calculated zones, traders can assess whether a trend is likely to continue or reverse, aiding in more informed trading decisions.
The MagnetZone Horizon indicator is particularly useful for traders looking to identify significant gaps in market activity that are influenced by volatility. These smart FVGs provide a deeper understanding of where the market might react, offering a valuable tool for enhancing trading strategies and adds another strategic piece to the puzzle in the OnChart Suite.
--------------🟢NeonZenith Indicator--------------
Overview:
NeonZenith is a tool designed to provide traders with a better understanding of market trends and potential decision points by utilising multiple elements, including EMAs and Fibonacci levels. This indicator identifies key structures in recent price movements, helping traders recognize potential trend shifts and generate target levels for their trading strategies. Additionally, NeonZenith incorporates elements from the ApexAlphaCloud to enhance the interpretation of market sentiment, particularly regarding price rejections or breakthroughs.
Key Features:
Trend Direction Identification:
NeonZenith uses EMAs to help traders gauge the overall trend direction. By analysing the relationship between different EMAs, the tool highlights potential points where trends may strengthen or reverse, offering decision points for traders to consider in their strategies.
Decision Points:
The tool generates decision points based on EMA interactions, providing traders with crucial levels that may indicate potential market entries or exits. These decision points are derived from the intersection of EMAs, which are known for their reliability in identifying trend shifts.
Fibonacci Target Levels:
Based on the identified price structures, NeonZenith calculates Fibonacci levels that serve as potential target areas. These levels help traders set realistic goals for their trades, whether they are looking to take profits or manage risks effectively.
ApexAlphaCloud Integration:
The tool integrates a middle cloud from the ApexAlphaCloud, which helps traders anticipate potential price rejections or breakthroughs. This cloud provides additional context to the trend analysis, enhancing traders' ability to gauge the market's sentiment and make them think about potential price movements.
Settings:
Left and Right Border Width:
These settings control the lookback period for identifying significant price structures. By adjusting these parameters, traders can fine-tune the sensitivity of the indicator to recent price movements.
Fibonacci Calculation:
The tool calculates Fibonacci levels based on recent lows and highs, offering multiple targets for both long and short positions. These targets include various levels that traders can use to plan their entry, take-profit, and stop-loss orders.
Plotting and Visualization:
NeonZenith provides clear visual cues on the chart, including shapes and labels to mark significant decision points and target areas. These visual elements help traders quickly interpret the information provided by the indicator and apply it to their trading strategies.
How to Use NeonZenith:
Trend Identification:
Use the tool to identify the current trend direction by observing the interaction between the EMAs ,the flag sign and triangle, flag represent general trend changes and the triangle represents minor and inside trend changes.
Fibonacci Levels:
Use the generated Fibonacci levels to set target areas for your trades. These levels can guide you in deciding where to take profits or place stop-loss orders.
Sentiment Gauge:
Utilise the middle cloud from the ApexAlphaCloud to assess potential price rejections or breakthroughs. This feature provides additional insight into the strength of the current trend and helps you anticipate possible market reversals.
Conclusion:
NeonZenith is a versatile and simple tool designed to support traders in understanding market trends, identifying decision points, and setting realistic targets based on Fibonacci levels. Its integration with the ApexAlphaCloud enhances the tool's ability to provide a comprehensive view of market sentiment, making it a valuable addition to any trader's toolkit.
No-Lag MA Crossover ScalperThe No Lag Crossover Scalper aims to capitalize on short-term trends using a combination of Hull Moving Average (HMA) for trend detection and multiple indicators for generating buy and sell signals. Here’s an overview of its components and approach:
1. Trend Detection with Hull Moving Averages (HMA) :
- Dual Hull MA Setup : Uses two Hull Moving Averages (HMA) to detect crossovers and crossunders, which are signals of short-term trend changes.
- No Lag Nature : HMAs are chosen for their ability to reduce lag compared to traditional moving averages, providing quicker responses to price movements.
2. Indicators for Signal Generation :
- Relative Strength Index (RSI) : Detects overbought and oversold conditions, generating signals when price movements diverge from RSI readings.
- Moving Average Convergence Divergence (MACD) : Provides signals based on the convergence and divergence of two moving averages, indicating potential trend reversals.
- Stochastic Oscillator (Stoch) : Identifies momentum shifts by comparing the current closing price to its range over a specific period.
- On-Balance Volume (OBV) : Measures buying and selling pressure based on volume flow, signaling potential changes in price direction.
- RSI Divergence : Looks for discrepancies between price action and RSI values, suggesting weakening trends and possible reversals.
3. Signal Generation Logic :
- Buy Signals : Generated when both HMAs cross over, supported by bullish indications from RSI, MACD, Stoch, OBV, or RSI divergence. At least 2 indicators must be true to generate a signal.
- Sell Signals : Triggered when HMAs cross under, complemented by bearish signals from the mentioned indicators.
4. Implementation and Optimization :
- Parameter Optimization : Fine-tuning of indicator periods and sensitivity settings to balance signal accuracy and responsiveness.
- Confirmation Mechanisms : Use of multiple indicators to confirm signals, reducing false positives and enhancing reliability.
Overall, the No Lag Crossover Scalper combines the speed of Hull Moving Averages with the reliability of multiple indicators to identify short-term trends effectively. By focusing on no lag indicators and confirming signals with diverse technical tools, it aims to capitalize on rapid market movements while managing risk through disciplined execution.
Credits: used TradingView ta library for a lot of the built-in indicators.
Disclaimer: This is still experimental beta version so use at your own risk.
MACD Bands - Multi Timeframe [TradeMaster Lite]We present a customizable MACD indicator, with the following features:
Multi-timeframe
Deviation bands to spot unusual volatility
9 Moving Average types
Conditional coloring and line crossings
👉 What is MACD?
MACD is a classic, trend-following indicator that uses moving averages to identify changes in momentum. It can be used to identify trend changes, overbought and oversold conditions, and potential reversals.
👉 Multi-timeframe:
This feature allows to analyze the same market data on multiple time frames, which can be in help to identify trends and patterns that would not be visible on a single time frame. When using the multi-timeframe feature, it is important to start with the higher time frame and then look for confirmation on the lower time frames. This will help you to avoid false signals. Please note that only timeframes higher than the chart timeframe is supported currently with this feature enabled. Might get updated in the future.
👉 Deviation bands to spot unusual volatility:
Deviation bands are plotted around the Signal line that can be in help to identify periods of unusual volatility. When the MACD line crosses outside of the deviation bands, it suggests that the market is becoming more volatile and a strong trend may form in that direction.
👉 9 Moving Average types can be used in the script. Each type of moving average offers a unique perspective and can be used in different scenarios to identify market trends.
SMA (Simple Moving Average): This calculates the average of a selected range of values, by the number of periods in that range.
SMMA (Smoothed Moving Average): This takes into account all data available and assigns equal weighting to the values.
EMA (Exponential Moving Average): This places a greater weight and significance on the most recent data points.
DEMA (Double Exponential Moving Average): This is a faster-moving average that uses a proprietary calculation to reduce the lag in data points.
TEMA (Triple Exponential Moving Average): This is even quicker than the DEMA, helping traders respond more quickly to changes in trend.
LSMA (Least Squares Moving Average): This moving average applies least squares regression method to determine the future direction of the trend.
HMA (Hull Moving Average): This moving average is designed to reduce lag and improve smoothness, providing quicker signals for short-term market movements.
VWMA (Volume Weighted Moving Average): This assigns more weight to candles with a high volume, reflecting the true average values more accurately in high volume periods.
WMA (Weighted Moving Average): This assigns more weight to the latest data, but not as much as the EMA.
👉 Conditional coloring :
This feature colors the MACD line line based on it's direction and fills the area between the MACD line and Deviation band edges to highlight the potential volatility and the strength of the momentum. This can be useful to identify when the market is trending strongly and when it is in a more neutral or choppy state.
👉 MACD Line - Signal Line crossings:
This is a classic MACD trading signal that occurs when the MACD line crosses above or below the signal line. Crossovers can be used to identify potential trend reversals. This can be a bullish or bearish signal, depending on the direction of the crossover.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
This is a lagging indicator. Please note that the indicator is using moving averages, which are lagging indicators.
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Major and Minor Trend Indicator by Nikhil34a V 2.2Title: Major and Minor Trend Indicator by Nikhil34a V 2.2
Description:
The Major and Minor Trend Indicator v2.2 is a comprehensive technical analysis script designed for use with the TradingView platform. This powerful tool is developed in Pine Script version 5 and helps traders identify potential buying and selling opportunities in the stock market.
Features:
SMA Trend Analysis: The script calculates two Simple Moving Averages (SMAs) with user-defined lengths for major and minor trends. It displays these SMAs on the chart, allowing traders to visualize the prevailing trends easily.
Surge Detection: The indicator can detect buying and selling surges based on specific conditions, such as volume, RSI, MACD, and stochastic indicators. Both Buying and Selling surges are marked in black on the chart.
Option Buy Zone Detection: The script identifies the option buy zone based on SMA crossovers, RSI, and MACD values. The buy zone is categorized as "CE Zone" or "PE Zone" and displayed in the table along with the trigger time.
Two-Day High and Low Range: The script calculates the highest high and lowest low of the previous two trading days and plots them on the chart. The area between these points is shaded in semi-transparent green and red colors.
Crossover Analysis: The script analyzes moving average crossovers on multiple timeframes (2-minute, 3-minute, and 5-minute) and displays buy and sell signals accordingly.
Trend Identification: The script identifies the major and minor trends as either bullish or bearish, providing valuable insights into the overall market sentiment.
Usage:
Customize Major and Minor SMA Periods: Adjust the lengths of major and minor SMAs through input parameters to suit your trading preferences.
Enable/Disable Moving Averages: Choose which SMAs to display on the chart by toggling the "showXMA" input options.
Set Surge and Option Buy Zone Thresholds: Modify the surgeThreshold, volumeThreshold, RSIThreshold, and StochThreshold inputs to refine the surge and buy zone detection.
Analyze Crossover Signals: Monitor the crossover signals in the table, categorized by timeframes (2-minute, 3-minute, and 5-minute).
Explore Market Bias and Distance to 2-Day High/Low: The table provides information on market bias, current price movement relative to the previous two-day high and low, and the option buy zone status.
Additional Use Cases:
Surge Indicator:
The script includes a Surge Indicator that detects sudden buying or selling surges in the market. When a buying surge is identified, the "BSurge" label will appear below the corresponding candle with black text on a white background. Similarly, a selling surge will display the "SSurge" label in white text on a black background. These indicators help traders quickly spot strong buying or selling activities that may influence their trading decisions. These surges can be used to identify sudden premium dump zones.
Option Buy Zone:
The Option Buy Zone is an essential feature that identifies potential zones for buying call options (CE Zone) or put options (PE Zone) based on specific technical conditions. The indicator evaluates SMA crossovers, RSI, and MACD values to determine the current market sentiment. When the option buy zone is triggered, the script will display the respective zone ("CE Zone" or "PE Zone") in the table, highlighted with a white background. Additionally, the time when the buy zone was triggered will be shown under the "Option Buy Zone Trigger Time" column.
Price Movement Relative to 2-Day High/Low:
The script calculates the highest high and lowest low of the previous two trading days (high2DaysAgo and low2DaysAgo) and plots these points on the chart. The area between these two points is shaded in semi-transparent green and red colors. The green region indicates the price range between the highpricetoconsider (highest high of the previous two days) and the lower value between highPreviousDay and high2DaysAgo. Similarly, the red region represents the price range between the lowpricetoconsider (lowest low of the previous two days) and the higher value between lowPreviousDay and low2DaysAgo.
Entry Time and Current Zone:
The script identifies potential entry times for trades within the option buy zone. When a valid buy zone trigger occurs, the script calculates the entryTime by adding the durationInMinutes (user-defined) to the startTime. The entryTime will be displayed in the "Entry Time" column of the table. Depending on the comparison between optionbuyzonetriggertime and entryTime, the background color of the entry time will change. If optionbuyzonetriggertime is greater than entryTime, the background color will be yellow, indicating that a new trigger has occurred before the specified duration. Otherwise, the background color will be green, suggesting that the entry time is still within the defined duration.
Current Zone Indicator:
The script further categorizes the current zone as either "CE Zone" (call option zone) or "PE Zone" (put option zone). When the market is trending upwards and the minor SMA is above the major SMA, the currentZone will be set to "CE Zone." Conversely, when the market is trending downwards and the minor SMA is below the major SMA, the currentZone will be "PE Zone." This information is displayed in the "Current Zone" column of the table.
These additional use cases empower traders with valuable insights into market trends, buying and selling surges, option buy zones, and potential entry times. Traders can combine this information with their analysis and risk management strategies to make informed and confident trading decisions.
Note:
The script is optimized for identifying trends and potential trade opportunities. It is crucial to perform additional analysis and risk management before executing any trades based on the provided signals.
Happy Trading!
Multi-Indicator Confluence Signals *LITE*Description:
Introducing the Multi-Indicator Confluence Signals (MICS), a comprehensive trading tool designed to simplify the process of analyzing multiple technical indicators and uncluttering your screen!
You are able to select various pre-existing indicators, including Stochastic, RSI, MACD, EMA, DMI, Bollinger Bands, and a our own custom signal we created using only price action calculations which will provide a streamlined view of the market, allowing traders to focus on speed, trade execution, strategy, and chart reading.
We do this by converting the input from the above popular technical indicators and generate clear long and short signals by placing green(long) and/or red(short) arrows directly on the chart.
You also have the option to choose which indicators you want to show on the screen and also the option to choose long and/or short signals.
The values we have chosen to generate the signals can be seen in each of the respective indicator input (i) tab in the inputs options.
Here are some examples:
Stoch Long
Will turn on green arrow signals to inform you the smoothed, 14 period stochastic line has crossed over 20.
Stoch short
Will turn on red arrow signals to inform you the smoothed, 14 period stochastic line has crossed under 80.
MA long
Will turn on green arrow signals to inform you when the moving average of the last 21 bars has become larger than the moving average of the last 50 bars.
MA short
Will turn on red arrow signals to inform you when the moving average of the last 21 bars has become smaller than the moving average of the last 50 bars.
RSI Long
Will turn on green arrow signals to inform you when the 14 period rsi value has crossed under 70.
RSI short
Will turn on red arrow signals to inform you when the 14 period rsi value has crossed over 30.
Go from this (Imagine your own drawings+the above indicators):
To this! (Only long signals displayed)
Features :
Consolidated signals:
The MICS identifies bull and bearish signals from multiple indicators and presents them in a visual arrow pointing manner, enabling traders to quickly assess potential trade opportunities.
Unique price action arrows:
The price action arrows in the MICS trading tool are a unique feature that distinguish it from traditional technical indicators.
These arrows are generated solely based on recent price movement and are calculated using an algorithm that analyzes the strength of recent price action.
The algorithm also considers factors such as the length and intensity of the trend, as well as any notable support or resistance levels.
When the 'Price Action Long' or 'Price Action Short' options are enabled, the MICS will display green or red arrows respectively, indicating potential bullish or bearish signals.
These arrows complement the signals generated by other pre-existing technical indicators in the MICS .
Clutter-free charting:
By removing the need to display individual indicators on the chart, the MICS helps create a cleaner workspace, promoting better focus and decision-making.
Confluence-based trading:
The MICS is not designed to be used as a standalone trading system.
Instead, traders should utilize the signals as confluences to complement their pre-existing trade ideas, leading to more robust and well-informed strategies.
Mashup of Indicators:
Each indicator has its own strengths and weaknesses, but by combining them, the MICS can provide a more comprehensive view of the market.
For example, Stochastic and RSI are commonly used to measure overbought and oversold conditions, while MACD and EMA are used to identify trend direction. DMI, on the other hand, is used to gauge the strength of a trend, while Bollinger Bands can be used to identify potential breakouts.
By combining the signals from these indicators, the MICS can provide traders with a more nuanced view of the market, allowing them to make better-informed trading decisions, quickly!
How They Work Together:
The MICS generates signals by analyzing the input from each individual indicator.
If the majority of the indicators show a bullish trend, the MICS will display this by showing the indicators you selected in the settings with green long arrows, indicating a potential long trade.
Conversely, if the majority of the indicators show a bearish trend, the MICS will display red short arrows, indicating a potential short trade.
In addition, the MICS uses a unique price action signal generated solely based on recent price movement, calculated using an algorithm that analyzes the strength of recent price action.
This price action signal is a distinguishing feature of the MICS and complements the signals generated by the pre-existing technical indicators.
What Makes the MICS Original?
What makes the MICS unique is its emphasis on providing a clutter-free charting experience.
By displaying only clear long and short signals directly on the chart based on your own selection in the settings, the MICS eliminates the need to have multiple indicators cluttering the screen, allowing traders to concentrate on making informed decisions, quickly!
This price action signal is a also unique feature that sets the MICS apart from other technical indicators.
TradeChartist Actuator™TradeChartist Actuator is an extremely functional indicator that converts the price action volatility and momentum into a meaningful trading system (based on user defined Standard Deviation Factor), that consists of expanding/contracting Volatility Range Bands, Dynamic Trend Support/Resistance Bands and 2 types of Breakout Signals in a visually stunning design. The script also neatly packs in ZigZag & manual/automatic Fibonacci Retracement tools, option to filter the signals using an external filter and other useful extras like ™TradeChartist Dollar Candles and much more.
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™TradeChartist Actuator User Manual
█ Actuator Range Bands
Actuator Range Bands consists of a Mean line, an Upper Band and a Lower Band which are based on user defined Standard Deviation Factor (Default - 1.618, Min - 0.5, Max - 2). The 1.618 factor works extremely well as the unnecessary volatility data of the bands are eliminated by Actuator's logic. In my personal tests, 1.618 works consistently better than any other value in visually showcasing the true volatility range. By eliminating the unnecessary volatility data from the original non-stabilized bands, Actuator helps detect price momentum by detecting two types of breakouts.
Bands Breakout - Filtered
When the price breaks out of the upper or lower band after a trend, there is a strong possibility of a reversal especially when the volatility expansion/contraction takes place. This is detected using a built in filter with the Filtered Bands Breakout and the user can choose to use the closing price or High/Low price as the trigger for breakouts. This trade setup is very useful especially at zones where the Actuator Range Bands contract or squeeze after an expansion as shown in the OANDA:XAUUSD 1hr chart below.
Also, after a consistent expansion of the bands with price trending in the upper channel or the lower channel, users can spot good profit taking or Short trade opportunities with confirmation of overbought price and if possible a strong bear divergence as show in the BINANCE:LUNAUSDTPERP 1hr chart below.
It can be seen from the chart above that even though Actuator is designed to detect Extreme Bands Breakout using High/Low price, it is done with a little bit of filtering by the script logic and hence didn't generate a Bear signal at the lower band support zone.
Mean Breakout - Filtered
In most Mean Reversion models, mostly oscillators, the mean plays an important role in helping traders predict the price dynamic, but it also presents a challenge whether that mean will act as support or resistance so the trader can take a position that will have a high probability of success. Filtered Mean Breakout helps exactly to identify the price dynamic at the mean zone and helps reduce the dilemma. Actuator uses Volatility Trend and Momentum of the price action at mean to determine Bull/Bear breakouts. Following NASDAQ:AAPL 1hr chart shows an example of 2 instances of Filtered Mean Breakout detection, one bull and one bear and further area where no Breakout was detected in spite of price crossing the mean.
This Breakout type is really helpful in spotting early moves and also reduces the high volatility risk of Extreme Bands Breakout in some cases.
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█ External Filter
Actuator breakout signals can be further filtered using the feature of connecting an external signal as a trade filter.
External filter like RSI , MACD etc. can be used to filter breakouts by connecting to ™TradeChartist Actuator under ╔═══ 𝗣𝗹𝘂𝗴 𝗙𝗶𝗹𝘁𝗲𝗿 𝗵𝗲𝗿𝗲 ═══ 🔌 dropdown by enabling 𝐔𝐬𝐞 𝐄𝐱𝐭𝐞𝐫𝐧𝐚𝐥 𝐅𝐢𝐥𝐭𝐞𝐫.
To get the external filter to work, 𝐒𝐢𝐠𝐧𝐚𝐥 𝐓𝐲𝐩𝐞 must be set right. For plots that are non oscillatory like Moving Averages, Super Trend etc., choose type as Non Oscillatory and for Oscillators like RSI , CCI , MACD etc., choose type as Oscillatory .
For Oscillators, levels must be specified for 𝐎𝐬𝐜𝐢𝐥𝐥𝐚𝐭𝐨𝐫 𝐁𝐮𝐥𝐥 𝐅𝐢𝐥𝐭𝐞𝐫 𝐯𝐚𝐥𝐮𝐞 and 𝐎𝐬𝐜𝐢𝐥𝐥𝐚𝐭𝐨𝐫 𝐁𝐞𝐚𝐫 𝐅𝐢𝐥𝐭𝐞𝐫 𝐯𝐚𝐥𝐮𝐞, especially if the Oscillator doesnt have 0 as midline, like RSI . Even for 0 mid oscillators like CCI , filter levels like 100/-100 work effectively to filter noise.
Use 𝐁𝐮𝐥𝐥/𝐁𝐞𝐚𝐫 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 𝐅𝐢𝐥𝐥 under Actuator Visuals section to paint the trade zones background. It helps visually see the effect of filters on the breakout entries and also the trade performance.
The following chart shows the Filter settings with ™TradeChartist Momentum Drift Oscillator connected to Actuator as Oscillatory signal with filter values 0.
The two example charts of 1hr BINANCE:BTCUSDT below shows the difference in Actuator signals based on Oscillatory signal from ™TradeChartist Momentum Drift Oscillator and the difference can be seen from the highlighted Bull/Bear Background Fill.
Without External Filter
With External Filter
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█ Dynamic Trend Support/Resistance Bands
In addition to Volatility Range Bands, Actuator also plots Dynamic Trend Support and Resistance bands that are more sensitive to price action and helps the user determine growing support/resistance which is indicated by coloured dots. These dots normally appear when the Support or Resistance stays at the same level for a few bars and change between Bull and Bear colours based on how the price interacts with them as shown below.
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█ Useful Trade Tools
™TradeChartist Dollar Candles
Dollar Candles help detect the volatility exhaustion prices and plots $ signs to help the trader take profits or move stop loss levels to secure gains. The $ signs do not appear for every trade zone, but whenever price hits a critical level, it shows up above price bar (for Bull trend) or below price bar (for Bear trend) in real time. Users can also set alerts for Dollar Candles with Once Per Bar setting. The Daily NASDAQ:TSLA chart below shows the Dollar Candles on both Bull and Bear trends.
It is important to note that taking pockets of profits on a leveraged trade position or moving up stop loss to maximize trend gains at $ candles will help increase Average Profitability Per Trade (APPT) .
Bull/Bear Background Fill
Bull/Bear Background Fill paints the trade zones in Bull and Bear colours. This helps visualize the difference in trade zones when testing various settings and also helps analyze past performance of Actuator Signals with or without the use of External Filter.
Entry Stop Loss Reference
Reference zone for stop loss has always been a tricky one for traders. Using a fixed percentage stop at entry may not be best during high volatility moves. Over the extensive period of Actuator testing, a simple solution to this problem was found. The previous trend's Range Bands Mean Line served as a perfect reference point for Entry Stop. Also while analysing this Mean line, it was found to be a perfect horizontal support/resistance line and also helped detect unproductive trades. The example 15m chart of NASDAQ:AMD shows how the Entry Stop Loss Reference performed.
Stop Line Touch Points plot orange touch points on the Stop Line whenever the price hits it during the trade.
Actuator Colour Bars
Actuator Colour Bars paints the Momentum Strength on the price bars. This helps visually see the price bars venturing into the Overbought or the Oversold zones. Also, this feature also helps spot divergences as higher highs or lower lows with less intense Bull/Bear colour than the previous high/low shows diminishing momentum as shown in the 1h chart of OANDA:GBPJPY below.
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█ ZigZag & Fibonacci Toolkit
Actuator plots developing and completed ZigZags based on Bull and Bear trend depending on the Breakout Type and Breakout Price from the settings.
Option to enable or disable 𝐙𝐢𝐠𝐙𝐚𝐠 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐨𝐫 which can be helpful for Harmonic traders.
Option to display 𝐙𝐢𝐠𝐙𝐚𝐠 𝐇𝐢𝐠𝐡𝐬/𝐋𝐨𝐰𝐬 and 𝐑𝐒𝐈 𝐚𝐭 𝐇𝐢𝐠𝐡𝐬/𝐋𝐨𝐰𝐬 in one of two styles.
Two types of Fibonacci to choose from - 𝐀𝐮𝐭𝐨-𝐅𝐢𝐛𝐬 and 𝐅𝐢𝐛𝐬 𝐛𝐚𝐬𝐞𝐝 𝐨𝐧 𝐋𝐨𝐨𝐤𝐛𝐚𝐜𝐤.
𝐀𝐮𝐭𝐨-𝐅𝐢𝐛𝐬 option plots Auto Fibonacci levels based on Bull/Bear trend depending on user specified Breakout Type and Breakout Price.
𝐅𝐢𝐛𝐬 𝐛𝐚𝐬𝐞𝐝 𝐨𝐧 𝐋𝐨𝐨𝐤𝐛𝐚𝐜𝐤 plots Fibonacci levels based on the highest high and lowest low of the lookback period (𝐃𝐚𝐲𝐬 or 𝐂𝐚𝐧𝐝𝐥𝐞𝐬).
Fibonacci levels can be reversed by enabling 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 from settings.
Enabling 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐏𝐫𝐢𝐜𝐞 𝐅𝐢𝐛 𝐋𝐚𝐛𝐞𝐥 displays the current Fib level of the developing price bar.
Option to customize Fib levels and colours.
4hr chart of BINANCE:BTCUSDT showing Auto Fibonacci levels, Zig-Zag with Trend High/Lows, Zig-Zag connectors with Fib Ratios and RSI at Trend High/Low prices.
Note:
If momentum doesn't slow down, the fibs can extend beyond 1 and may continue way beyond 4.618 fib level. These are quite rare depending on how distant the near high/low is based.
ZigZag and Fibonacci are good reference indicators and should always be used as confirmations rather than standalone indicators.
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█ Actuator Colour Scheme
Actuator employs 3 built in colour schemes namely Chilli , Flame and Sublime Grayscale and a versatile colour scheme Custom which enables the user to customise the colour combinations of the components of the Actuator script.
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█ Alerts
Alerts can be created for the following.
Actuator Bull Breakout Signal - Once Per Bar Close
Actuator Bear Breakout Signal - Once Per Bar Close
Actuator Long Dollar - Take Profit - Once Per Bar
Actuator Short Dollar - Take Profit - Once Per Bar
Actuator Stop Line Hit - Once Per Bar
Note: The script doesn't repaint, so the alerts can be used with confidence. To check this, users can do bar replays to check if the plots and markers stay in the same place.
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Best Practice: Test with different settings first using Paper Trades before trading with real money
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MRM [VK] V4.0 strategyMRM VK strategy
This strategy uses MA, RSI , MACD combined.
MACD and RSI can be used multi time frame to filter trend.
It is a very simple strategy which goes long/short when MACD , RSI and MA Trend Changes in higher Time Frame.
Coinmaster Holding ScriptRECOMMENDATION: I PREFFER USE THIS ON 4H OR 1D TIMEFRAME
In the following article, I have completed the creation of this semi-automatic script dedicated to institutional capital management in the different markets, its development was carried out under operations that exceed a balance greater than 1 million usd, which will allow you to summarize your technical analysis or you can request my support to automate your account after your previous studies.
Alerts have been created that you can program or automate through webhook, under which you can program for advice or consultancy to your account, either to integrate indexed, forex or cryptocurrency trading api keys or to perform leveraged operations either long or short with leverage especially cryptocurrencies, with a focus on BTC / USD, BTC / USDT, ETH / USD, ETH / USDT, LTC / USD, LTC / USDT, TRX / USD, TRX / USDT but adaptable to any asset
where I deliver 6 years of research, training, use, development and implementation of different analysis and trading mechanisms in financial markets.
It allows you to carry out simple technical analysis studies in a calculated way
Using wide and different methods, which are automatically arranged algorithmically, indicating a buy or sell signal based on the "Price Action + Average True Range or Atr", which also takes into consideration the increase or decrease in volume and different combined conditions are used to arrive at a "combined signal" between them:
Macd
- RSI
- ATR "Average True Range
- Retracement and Fibonacci Levels
- Pivot Points
- Sar Parabolic
- Volume
- Crossing Moving Averages
- Price per volume trend indicator (VPT)
- Calculated Analysis of Divergence, Bullish Divergence, Bearish Divergence
- Analysis of Divergence and Fibonacci Crosses
- Combination of Pivot Points and Fibonacci Levels with automatic price adjustment for all time frames
- Automatic support and resistance adjustment
- Automatic adjustment, entry of new levels, eliminate and readjust fibonacci retracement levels and pivot points as the price advances automatically
- Calculation and Analysis and Strategy for Buying and Selling Bollinger Bands
- Automatic Creation, Analysis, Calculation and Adjustment of Trend Lines
- Ichimoku periods
- Automatic Calculation and Analysis of Divergence, Trend, Price and Volume taking into account multiple factors such as: Trend Lines, MACD, Balanced Volume or "OBV", Relative Strength Index "RSI", Commodity Channel Index (CCI )
You could use my indicator to either:
1. Create summary Buy and Sell Alerts
2. Create Alerts with Customizable Conditions
3. Create Alerts and Automate these by means of webhook shipments
4. Open and Close Positions automatically through Alerts sent through webhook and conditioned on your platform by custom% profit, either take profit or stop loss
You can configure the following alerts in an unlimited way:
-Buy Signal Indicated by Atr
-Sale Signal Indicated by Atr
-Buy signal by volume price trend indicator (VPT)
-Sale signal by volume price trend indicator (VPT)
-Sar Parabolic -High
-Sar Parabolic - Baja
- Bullish divergence
-Bearly divergence
-Crossing moving averages
-Cross above the Downtrend of the Fibonacci Level 0.382
-Cross above the Bearish Trend of the Fibonacci Level 0.5
-Cross above the Bearish Trend of the Fibonacci Level 0.618
-Crossover above the Bullish Trend of the Fibonacci Level 0.382
-Crosses above the Bullish Trend of the Fibonacc Level 0.5
-Cross above the Bullish Trend of the Fibonacci Level 0.618
-Cross below the downtrend of the Fibonacci Level 0.382
- "Crossover below the downward trend of the Fibonacci Level 0.5
-Cross below the downtrend of the Fibonacci Level 0.618
-Cross below the uptrend of the Fibonacci Level 0.382
-Cross below the uptrend of the Fibonacci Level 0.5
- Cross below the uptrend of the Fibonacci Level 0.618
1. If you don't want to rely on a single truth from my indicator, combine this with either RSI, MACD, or ADX levels.
2. If you are going to use it for a leveraged trade, A) My indicator does not have the absolute truth, B) Try to assign a% of take profit or stop loss range to allow the price to move without closing your recommended trade in loss. 3 to 4% or greater than 1%
Postscript: Use it at your own risk, I have made this script based on my personal opinion and experience, which is not considered at any time a financial or investment advice or of any kind, which after reading this I free myself from Any financial responsibility for your personal decisions, what you read in any market or legal action will only be considered before any court, person, page, agency, broker, trader, tools, investors, developers or people of any field and of any situation such as If fidubit has given computer advice for educational purposes on the use of pine script, all investment in any type of economy, asset or financial markets is at risk of ups and downs, therefore you are fully responsible for your investment, administration, decision, analysis and use and you should use only your risk capital in the broker you choose
Z+ Trend Finder & Breakout 3in1 for Crypto Stock & Forex TradingDear all,
If you like this indicator please hit the like button and do follow me. It takes lot of effort & calculations to bring some good strategy on charts. Keep Supporting & will update this indicator regularly.
Z+ Trend Finder Pro🚀 by Zia 💎 a combination of RSI+MACD+SMA
Z+ Trend Finder Pro is a 3in1 Indicator for Crypto, Stock Market & Forex Trading. This indicator is a combination of RSI , MACD , SMA & few other important settings with unique strategy keeping scalping & intraday trading in mind. Please read all points below for better understanding of how this indicator works. I'll make it very simple and easy to understand.
When you load the indicator on chart, you will see candles in 2 colors blue & dark brown (You can change color from settings if you want).
Blue means price is going up
Brown means price is going down
On Top you will see thick Red line - Overbought , means if price is above this line ( RSI above 80) - market is overbought and RSI is too high and chances market will reverse.
Bottom you will see thick Green line - Oversold , means if price is below this line - market is oversold & RSI very low around 20 & chances market will reverse.
In-between you will thick Green/Red line called breakout line . If price is below this line, color will red means market is in downtrend and will further go down.
If price is above this line, its color will be green & means market is in up trend and will go further up.
Breakout Line -
Whenever price break the Breakout line upside, up breakout will come means open long position, if downside, down breakout will come means open short.
Rest things are self explanatory.
Apart from this, you will see green and red bands. The wider the band indicates trend is strong, & if bands width is getting narrow means trend is fading - Get out of trade at that time.
Market overview Display Box
On the right side, you will see yellow box with particular coin details along with other market top performing coins in terms of MarketCap. From settings you will change it to either Crypto, Stock or Forex. You can control the display of this box from script setting.
Which is the best timeframe to use with this indicator?
I personally check things first at 1hr chart, to know how market is performing in broad time frame.
Next if you see more volatility in market, you can use 15min time frame too.
Also it depends from coin 2 coin and market conditions too. Sometimes you will find things are pretty good with 5 min and sometimes 15min, and sometimes you might stick with 1hr.
EURUSD Example
NIFTY Example
What is the accuracy?
Personally when i use it with 1hr TF for intraday swing calls, i see pretty good result & accuracy almost above 90%.
But do keep in mind, its not a magical stick - always DYOR fully after seeing any type of recommendation from this indicator either on buy/long or sell/short side.
Disclaimer:- This indicator is just for educational purpose and does not guarantee to make you rich overnight. It only helps you to understand market trend, so you take prefect entry. Anyone who guarantees you will make money, is pretty much guaranteeing that you will lose money. Trading and technical analysis is extremely difficult, it takes patience, discipline and most people do not make it. Applying these tools and investing in your trading education can help put the odds in your favor but will only assist the individual in their execution, decision making, thought process and executing their own individual trades, NOT make them for you.
You're always welcome to share any type of suggestion & feedback.
To access this indicator, Interested traders can pm me our use below links.
Bull Club BiasThe script intends to eliminate noise from the chart. It uses a combination of multiple indicators into 1.
For long bias:
Close is greater than the ADX
15 Period EMA on close is greater than SMA on high
13 period RSI is greater than 25 periods RSI
MACD is greater than 0
For short bias:
Close is lower than the ADX
15 Period EMA on close is lower than SMA on high
13 period RSI is lower than 25 periods RSI
MACD is lower than 0
For every other combination, it is a range-bound bias. NSE:BANKNIFTY
A green background indicates long bias
A Red background indicates short bias
An Orange background indicates range-bound bias
Compare (RSI) Ticker 3x by fikiraHi!
Here I've created an indicator which compares 1 Ticker with 1 or 2 other Tickers.
The basis is RSI (Source & Length is adjustable), but the main objective is NOT to concentrate on the RSI, but on the comparison between the 2 or 3 Tickers.
I've used RSI because in this way high priced Tickers (for example BTC, now $8500) can easily be compared with low priced Tickers (for example BTT, now $0,00042)
In this example I have NEO/USDT (Binance) as my initial Ticker, you can see the candlesticks of NEO/USDT.
In the "Compare" indicator, the 'close' of NEO appears as a white line.
The second line (blue) is a chosen second Ticker, in this case BTC/USDT (Binance)
In "Settings" > "Inputs" you can enable/disable the second or third Ticker
- The second Ticker has multiple choices
- The third you can type any Ticker you want, for example CRYPTOCAP:BNB, BINANCE:ETHUSDT, NASDAQ_DLY:NDX or whatever,
just start typing and you'll see the possibilities (You also can choose between "Cryptocurrencies", "Index", "Forex", ...)
You can also plot 2 EMA's, a Short and a Long period (Length is adjustable).
The EMA's have the same colour as the Tickers (Ticker 1 = white, 2 = blue, 3 = red, of course all adjustable)
- EMA Ticker 1 crossover Ticker 2/3 > Green cloud
- EMA Ticker 1 crossunder Ticker 2/3 > Red cloud
For example:
NEO/USDT (1, white) & BTC/USDT (2, blue) with Long Period EMA
NEO/USDT (1, white) & BNB/USDT (3, red) with Long Period EMA
NEO/USDT (1, white) & BNB/USDT (3, red) with Short Period EMA
When the second chosen Ticker is the same as the first Ticker, of course you will be seeing lines
(because there is no difference between the 2 Tickers, the EMA is visible though)
Example :
Both BTC/USDT
(The second indicator is my "Compare (RSI) MACD", a MACD of this indicator, which in this case is obviously flat)
[SignalFI] ShotGunFI V1Welcome to ShotGunFI
In order to help give our members awareness of how major indicators move market price action, we created ShotGunFI. This script provides signals for the following indicators and gives a customizable framework for the user to track how certain indicators impact price and further how those impacts could relate to their overall strategy. We took the major indicators that are used in the market and smashed them into one chart with one indicator so that you can visualize a broad spectrum of strategies that are already driving price action.
This script is enabled with Data Leak and Repaint protection by default. Ensuring that signals are true.
The following indicators are included:
//+RSI Ob/Os Crossover Signals
- Candles are colored Orange and Aqua when RSI is overbought or oversold.
- Arrows and Alerts for crossover 30 and crossunder 70 RSI .
//+Slow Stochastic Signals
- Arrows and Alerts for crossover 20 and crossunder 80 Stoch RSI
//+MACD Bull/Bear Signals
- Arrows and Alerts for MACD Bull and Bear Signal line crossovers
//+MA Cross Bull/Bear Signals
- Arrows and Alerts for MA 1 Cross of MA 1 and MA 1 Cross of MA 4.
By default EMA is enabled, however, we included several other MA types to enhance and expand on this concept.
Included are the following MA types:
Kaufman Adaptive Moving Average ( KAMA )
Hull Moving Average
Smoothed Moving Average
Variable Index Dynamic Average
Fractal Adaptive Moving Average
Fractal Dimension Adaptive Moving Average
Double Exponential Moving Average
Least Squares Moving Average
Coefficient of Variation Weighted Moving Average
Simple Weighted Moving Average
Exponential Moving Average
Weighted Moving Average
Arnaud Legoux Moving Average
Option Types Labels:
"SWMA", "EMA", "WMA", "SMA", "HMA", "KAMA", "SMMA", "VIDYA", "VWMA", "ALMA", "FRAMA", "DEMA", "FDAMA", "LSMA", "COVWMA"
//+BollingBand Bull/Bear Signals
- Arrows and Alerts for lower BB crossover and higher BB crossover
//+Bollinger Band + RSI (BBRSI) Bull/Bear Signals
- Arrows and Alerts for custom higher timeframe Bollinger Band that integrates RSI . 4 Signals total.
//+InsideBar Bull/Bear Signals
- Arrows and Alerts for InsideBar bull/bear break combinations.
ALERTS DISABLED VERSION. Padaone Members Only.
SignalFI was created to help traders and investors to effectively analyze the market based on the Golden Mean Ratio (Fibonacci numbers), plan a trade and ultimately execute it. To help inform and educate market decisions we developed a set of Trading Indicators which are available on TradingView , the most advanced and yet easy to use charting platform available on the web.
SignalFI indicators are just that, indicators. Our indicators are generally configured to use completely historical data (negating repaint), and we advise all alerts created with SignalFI indicators to be fired upon "close" of the current candle. Our indicators can provide valuable context and visualization support when performing market analysis and executing buy and sell decisions. However. we are not financial experts, and all information presented on this site or our other media outlets are for educational purposes only.
For subscription information, visit www.signalfi.net and follow us on twitter.
On Balance Volume +This is the standard On Balance Volume indicator, with the addition of four things:
10-SMA
20-SMA
100-SMA
Bollinger Bands
I have found intriguing and surprising results with this indicator.
I often see OBV bouncing off of the Moving Average lines, much like support and resistance points.
More interesting is the fact that it "obeys" the bollinger bands. Often times, if OBV sneaks outside of the Bollinger Band, it will almost always correct and get back in the next day.
I would recommend that you find your own method, and PLEASE post in the comments as to how you use this, but I'll tell you
How I use this indicator:
I usually use this on the daily view. I tend to wait until OBV has moved above the red 20-Day SMA before considering an entry. Below that doesn't show enough positive volume for me to identify enough interest in the security. Once it breaks the red SMA, I'll look at other indicators for confirmation. If price is above the Bollinger Band up above, and my OBV is above Bollinger Band, I will not buy. Also, if MACD is dropping, or if the Stochastic RSI is pegged out in overbought land, I won't buy that either.
If, however, I'm seeing good stuff from Stochastic RSI, RSI, MACD, and price BB, then I'll take a long entry at that OBV + 20SMA crossover.
If I'm in a long position and I see a few signals like the OBV is above the BB, and price is above BB, and StochRSI or RSI are in/near overbought land, I'll often sell that day, expecting a pullback on price.
I really like this one, it's been quite helpful in my trading. This is my first venture into using Volume for trading, and it's been good so far.
Leave me a note in the comments to tell me how it goes and how you use this thing!
ProfitTrailer v2 LOWBB & RSI Buy SignalsThis script will display buy signals when configured LOWBB & RSI Conditions are met. I've created this script to help ProfitTrailer 2.0 subscribers understand when the bot will buy based on their selected RSI & BB values.
I will create more of these scripts so let me know in the comments if you would like to see some of the other strategies for example EMAGAIN + RSI + MACD or LOWBB + MACD etc. I will add the sell signals shortly.
AI-Powered ScalpMaster Pro [By TraderMan]🧠 AI-Powered ScalpMaster Pro How It Works
📊 What Is the Indicator and What Does It Do?
🧠 AI-Powered ScalpMaster Pro is a powerful technical analysis tool designed for scalping (short-term, fast-paced trading) in financial markets such as forex, crypto, or stocks. It combines multiple technical indicators (RSI, MACD, Stochastic, Momentum, EMA, SuperTrend, CCI, and OBV) to identify market trends and generate AI-driven buy (🟢) or sell (🔴) signals. The goal is to help traders seize profitable scalping opportunities with quick and precise decisions. 🚀
Key Features:
🧠 AI-Driven Logic: Analyzes signals from multiple indicators to produce reliable trend signals.
📈 Signal Strength: Displays buy (bull) and sell (bear) signal strength as percentages.
✅ Success Rate: Tracks the performance of the last 5 trades and calculates the success rate.
🎯 Entry, TP, and SL Levels: Automatically sets entry points, take profit (TP), and stop loss (SL) levels.
📏 EMA Zone: Analyzes price movement around the EMA 200 to confirm trend direction.
⚙️ How Does It Work?
The indicator uses a scoring system by combining the following technical indicators:
RSI (14): Evaluates whether the price is in overbought or oversold zones.
MACD (12, 26, 9): Analyzes trend direction and momentum.
Stochastic (%K): Measures the speed of price movement.
Momentum: Checks the price change over the last 10 bars.
EMA 200: Determines the long-term trend direction.
SuperTrend: Tracks trends based on volatility.
CCI (20): Measures price deviation from its normal range.
OBV ROC: Analyzes volume changes.
Each indicator generates a buy (bull) or sell (bear) signal. If 6 or more indicators align in the same direction (e.g., bullScore >= 6 for buy), the indicator produces a strong trend signal:
📈 Strong Buy Signal: bullScore >= 6 and bullScore > bearScore.
📉 Strong Sell Signal: bearScore >= 6 and bearScore > bullScore.
🔸 Neutral: No dominant direction.
Additionally, the EMA Zone feature confirms the trend based on the price’s position relative to a zone around the EMA 200:
Price above the zone and sufficiently distant → Uptrend (UP). 🟢
Price below the zone and sufficiently distant → Downtrend (DOWN). 🔴
Price within the zone → Neutral. 🔸
🖥️ Display on the Chart
Table: A table in the top-right corner shows the status of all indicators (✅ Buy / ❌ Sell), signal strength (as %), success rate, and results of the last 5 trades.
Lines and Labels:
🎯 Entry Level: A gray line at the price level when a new signal is generated.
🟢 TP (Take Profit): A green line showing the take-profit level.
🔴 SL (Stop Loss): A red line showing the stop-loss level.
EMA Zone: The EMA 200 and its surrounding colored zone visualize the trend direction (green: uptrend, red: downtrend, gray: neutral).
📝 How to Use It?
Platform Setup:
Add the indicator to the TradingView platform.
Customize settings as needed (e.g., EMA length, risk/reward ratio).
Monitoring Signals:
Check the table: Look for 📈 STRONG BUY or 📉 STRONG SELL signals to prepare for a trade.
AI Text: Trust signals more when it says "🧠 FULL CONFIDENCE" (success rate ≥ 50%). Be cautious if it says "⚠️ LOW CONFIDENCE."
Entering a Position:
🟢 Buy Signal:
Table shows "📈 STRONG BUY" and bullScore >= 6.
Price is above the EMA Zone (green zone).
Entry: Current price (🎯 entry line).
TP: 2% above the entry price (🟢 TP line).
SL: 1% below the entry price (🔴 SL line).
🔴 Sell Signal:
Table shows "📉 STRONG SELL" and bearScore >= 6.
Price is below the EMA Zone (red zone).
Entry: Current price (🎯 entry line).
TP: 2% below the entry price (🟢 TP line).
SL: 1% above the entry price (🔴 SL line).
Position Management:
If the price hits TP, the trade closes profitably (✅ Successful).
If the price hits SL, the trade closes with a loss (❌ Failed).
Results are updated in the "Last 5 Trades" section of the table.
Risk Management:
Default risk/reward ratio is 1:2 (1% risk, 2% reward).
Always adjust position size based on your capital.
Consider smaller lot sizes for "⚠️ LOW CONFIDENCE" signals.
💡 Tips
Timeframe: Use 1-minute, 5-minute, or 15-minute charts for scalping.
Market Selection: Works best in volatile markets (e.g., BTC/USD, EUR/USD).
Confirmation: Ensure the EMA Zone trend aligns with the signal.
Discipline: Stick to TP and SL levels, avoid emotional decisions.
⚠️ Warnings
No indicator is 100% accurate. Always use additional analysis (e.g., support/resistance).
Be cautious during high-volatility periods (e.g., news events).
The success rate is based on past performance and does not guarantee future results.
Razor Precision — Buy/SellRazor Precision Stock Action Indicator
The Razor Precision indicator is an advanced, multi-layered market analysis tool designed for traders who demand accuracy and alignment across multiple timeframes. It combines price action, moving average crossovers, volume confirmation, swing structure mapping, and indicator confluence (RSI, MACD, ATR, OBV) to generate actionable buy/sell strength ratings.
Key Features:
Price Action Detection: Identifies higher highs/lows (uptrend) and lower highs/lows (downtrend).
MA Crossover Momentum: Monitors 50/200 moving average crossovers to detect trend shifts.
Volume Surge Analysis: Confirms breakouts or pullbacks with significant volume spikes.
Swing Structure Tracking: Maps internal/external breaks to align with Smart Money Concepts.
Indicator Confluence: Aggregates signals from RSI, MACD, ATR, and OBV for precision confirmation.
Multi-Timeframe Alignment: Compares trends across 15m, 1H, 4H, and Daily charts for stacked or conflicting signals.
Strength Levels: Signals range from SELL, STRONG SELL, ULTRA STRONG SELL to BUY, STRONG BUY, ULTRA STRONG BUY.
Dynamic Table Display: Updates every 5 minutes or when overall action changes, showing per-timeframe analysis and the aggregated decision.
Ideal for swing traders, scalpers, and intraday momentum players who want high-confidence trade direction filtered through multiple technical layers.
Standard Deviation BandsStandard Deviation Bands
คำอธิบายอินดิเคเตอร์:
อินดิเคเตอร์ SD Bands (Standard Deviation Bands) เป็นเครื่องมือวิเคราะห์ทางเทคนิคที่ออกแบบมาเพื่อวัดความผันผวนของราคาและระบุโอกาสในการเทรดที่อาจเกิดขึ้น อินดิเคเตอร์นี้จะแสดงผลเป็นเส้นขอบ 2 เส้นบนกราฟราคาโดยตรง โดยอ้างอิงจากค่าเฉลี่ยเคลื่อนที่ (Moving Average) และค่าส่วนเบี่ยงเบนมาตรฐาน (Standard Deviation)
* เส้นบน (Upper Band): แสดงระดับที่ราคาเคลื่อนไหวสูงกว่าค่าเฉลี่ย
* เส้นล่าง (Lower Band): แสดงระดับที่ราคาเคลื่อนไหวต่ำกว่าค่าเฉลี่ย
ความกว้างของช่องระหว่างเส้นทั้งสองบ่งบอกถึงระดับความผันผวนของตลาดในปัจจุบัน
วิธีการใช้งานอย่างละเอียด:
คุณสามารถนำอินดิเคเตอร์ SD Bands ไปประยุกต์ใช้ได้หลายวิธีเพื่อประกอบการตัดสินใจ ดังนี้:
1. การใช้เป็นแนวรับ-แนวต้านแบบไดนามิก (Dynamic Support & Resistance)
* แนวรับ: เมื่อราคาวิ่งลงมาแตะหรือเข้าใกล้เส้นล่าง (เส้นสีน้ำเงิน) เส้นนี้อาจทำหน้าที่เป็นแนวรับชั่วคราวและมีโอกาสที่ราคาจะเด้งกลับขึ้นไปหาเส้นกลาง
* แนวต้าน: เมื่อราคาวิ่งขึ้นไปแตะหรือเข้าใกล้เส้นบน (เส้นสีแดง) เส้นนี้อาจทำหน้าที่เป็นแนวต้านชั่วคราวและมีโอกาสที่ราคาจะย่อตัวลงมา
2. การวัดความผันผวนและสัญญาณ Breakout
* ช่วงตลาดสงบ (Low Volatility): เมื่อเส้น SD ทั้งสองเส้นบีบตัวเข้าหากันเป็นช่องที่แคบมาก (คล้ายกับ Bollinger Squeeze) แสดงว่าตลาดมีความผันผวนต่ำมาก ซึ่งมักจะเป็นสัญญาณว่ากำลังจะเกิดการเคลื่อนไหวครั้งใหญ่ (Breakout)
* ช่วงตลาดเป็นเทรนด์ (High Volatility): เมื่อเส้น SD ขยายตัวกว้างออกอย่างรวดเร็ว พร้อมกับที่ราคาวิ่งอยู่นอกขอบ แสดงว่าตลาดเข้าสู่ช่วงเทรนด์ที่แข็งแกร่งและมีโมเมนตัมสูง
3. สัญญาณการกลับตัว (Reversal Signals)
* เมื่อราคาปิดแท่งเทียน นอกเส้น SD Bands อย่างชัดเจน (โดยเฉพาะหลังจากที่เทรนด์นั้นดำเนินมานาน) อาจเป็นสัญญาณว่าแรงซื้อ/แรงขายเริ่มอ่อนกำลังลง และมีโอกาสที่จะเกิดการกลับตัวของราคาในไม่ช้า
การตั้งค่าอินพุต (Input Parameters):
* ระยะเวลา (Length): กำหนดจำนวนแท่งเทียนที่ใช้ในการคำนวณค่าเฉลี่ยและ SD
* 20: สำหรับการวิเคราะห์ระยะสั้นถึงกลาง
* 50 หรือ 100: สำหรับการวิเคราะห์ระยะยาว
* ตัวคูณ (Multiplier): กำหนดระยะห่างของเส้น SD จากค่าเฉลี่ย
* 1.0 - 2.0: เส้นจะอยู่ใกล้ราคามากขึ้น ทำให้เกิดสัญญาณบ่อยขึ้น
* 2.0 - 3.0: เส้นจะอยู่ห่างจากราคามากขึ้น ทำให้เกิดสัญญาณที่น่าเชื่อถือมากขึ้น แต่จะเกิดไม่บ่อย
ข้อควรระวังและคำเตือน:
* อินดิเคเตอร์นี้เป็นเพียง เครื่องมือวิเคราะห์ เพื่อช่วยในการตัดสินใจ ไม่ใช่สัญญาณการซื้อขายที่ถูกต้อง 100%
* ควรใช้ร่วมกับเครื่องมืออื่นๆ เช่น RSI, MACD, หรือ Volume เพื่อยืนยันสัญญาณ
* การเทรดมีความเสี่ยงสูง ควรบริหารจัดการความเสี่ยงและตั้งจุด Stop Loss ทุกครั้ง
คุณสามารถใช้โครงสร้างนี้ในการเขียนโพสต์บน TradingView ได้เลยนะครับ ขอให้ประสบความสำเร็จกับการโพสต์อินดิเคเตอร์ของคุณครับ!
English
Standard Deviation Bands
Indicator Description:
The SD Bands (Standard Deviation Bands) indicator is a powerful technical analysis tool designed to measure price volatility and identify potential trading opportunities. The indicator displays two dynamic bands directly on the price chart, based on a moving average and a customizable standard deviation multiplier.
* Upper Band: Indicates price levels above the moving average.
* Lower Band: Indicates price levels below the moving average.
The width of the channel between these two bands provides a clear picture of current market volatility.
Detailed User Guide:
You can use SD Bands in several ways to enhance your trading decisions:
1. Dynamic Support and Resistance:
These bands can act as dynamic support and resistance levels.
* Support: When the price moves down and touches or approaches the lower band, it can act as support, offering the possibility of a rebound to the average.
* Resistance: When the price moves up and touches or approaches the upper band, it can act as resistance, offering the possibility of a rebound.
2. Volatility Measurement and Breakout Signals:
* Low Volatility (Squeeze): When the two bands converge and form a narrow channel. Indicates very low market volatility. This condition often occurs before significant price movements or breakouts.
* High Volatility (Expansion): When the bands expand and widen rapidly, it indicates that the market is entering a period of strong trending momentum with high momentum.
3. Reversal Signals:
* When the price closes significantly outside the SD Bands (especially after a long-term trend), it may signal that the current momentum has expired and a reversal may be imminent.
Input Parameters:
The indicator's parameters are fully customizable to suit your trading style:
* Length: Defines the number of bars used to calculate the moving average and standard deviation.
* 20: Suitable for short- to medium-term analysis.
* 50 or 100: Suitable for long-term trend analysis.
* Multiplier: Adjusts the sensitivity of the signal bars.
* 1.0 - 2.0: Creates narrower signal bars, leading to more frequent signals.
* 2.0 - 3.0: Creates wider signal bars, providing fewer but potentially more significant signals.
Important Warning:
* This indicator is an analytical tool only. It does not provide guaranteed buy or sell signals.
* Always use it in conjunction with other indicators (such as RSI, MACD, and Volume) for confirmation.
* Trading involves high risk. Proper risk management, including the use of stop-loss orders, is recommended.
You can use this structure for your posts on TradingView. Good luck with your indicators!
Order Block & Trendline Breakout StrategyOrder Block & Trendline Breakout Strategy – Complete Guide
The aiTrendview Order Block & Trendline Breakout Strategy is an advanced Pine Script-based indicator for TradingView that blends institutional order block detection, dynamic trendline breakout logic, multi-layered signal filtering, and real-time trade analytics. It is designed to help traders identify actionable market conditions and manage trades with clarity and discipline.
________________________________________
Key Functional Modules
1. Order Block (OB) Detection
The script identifies bullish and bearish order blocks based on a user-defined number of consecutive directional bars. Each detected OB must meet a minimum percentage move threshold to validate significance. Only recent OB zones are plotted to reduce clutter and highlight the most relevant zones.
2. Trendline Breakout Logic
Trendlines are generated using pivot highs and lows, with user options to apply candle wicks or closes for accuracy. These lines are dynamically extended, and breakout signals are triggered only when price closes beyond the defined range. This helps highlight structural breakouts aligned with trend.
3. Signal Filtering
To reduce false signals and improve quality:
• Volume Filter: Signals are valid only when volume exceeds a user-defined multiple of average volume.
• ATR Filter: Avoids triggering signals during low-volatility or choppy markets.
• Trend Filter: Ensures signals align with the broader trend, using exponential moving average (EMA) alignment.
4. Market Context Evaluation
Real-time RSI, MACD, Bollinger Bands, volatility tiers, and momentum measurements are used to evaluate the market environment. The strategy also references rolling support and resistance levels for a clearer technical context.
5. Trade Targets and Risk Management
Each valid signal includes pre-defined entry, stop loss, and up to three take-profit levels. These are calculated using the ATR and plotted on the chart. The dashboard tracks current trade performance, total profit/loss, signal win rate, and the reward-to-risk ratio.
6. Visual Dashboard Table
A customizable on-chart horizontal dashboard displays critical market information such as:
• Last traded price, price change %, and volume spike ratio
• RSI, MACD, trend strength, volatility tier, and price position
• Order block proximity, current signal (Buy, Sell, Wait), market status (Active or Avoid)
• Reward-to-risk ratio, live win rate, momentum, and cumulative PnL
The dashboard supports multiple sizing options and can be placed anywhere on the chart for minimal interference.
7. Alerts Integration
Built-in alert conditions allow users to trigger TradingView alerts for:
• Buy/Sell signals
• Target and stop loss hits
• No-trade zone detection
• High-opportunity setups (based on filters)
How to Use This Strategy
Step 1: Setup and Configuration
Apply the script to your TradingView chart. Open the settings panel and configure:
• Order block sensitivity
• Trendline period and breakout extension
• Filters for volume and volatility
• Visual preferences for the dashboard
Step 2: Interpreting the Dashboard
• Green signal: Bullish opportunity confirmed
• Red signal: Bearish opportunity confirmed
• Gray or Yellow: Caution or wait—market may be range-bound or unclear
• Status = “AVOID”: Market is unsuitable for trading based on filters and volatility conditions
Step 3: Trade Execution
• Confirm signal alignment with dashboard metrics
• Check order block, volume, trend, and risk status
• Use provided entry, TP, and SL levels to manage the trade
• Monitor live performance via Win %, PnL, and risk levels
Step 4: Use Alerts for Automation
Enable alert conditions to receive real-time signal notifications. These alerts will only trigger when all filter conditions are met, reducing noise.
Tips and Best Practices
• Tuning: Adjust volume and ATR filters to control signal sensitivity for different market environments.
• Position Sizing: Use the dashboard’s risk assessment to size trades accordingly.
• Contextual Confirmation: Combine with price action or macro/fundamental views for added confidence.
• Review Performance: Use built-in Win % and cumulative PnL to refine and improve strategy execution.
• Avoid Overtrading: Adhere to “AVOID” signals, especially during low-volume or uncertain sessions.
Risk Management Recommendations
• Only trade when multiple confirmations align: trend, order block, breakout, volume, and volatility.
• Use partial exits at each take-profit level to secure gains while letting the trade run.
• Apply dynamic stops or breakeven after the first target is achieved.
• Follow a maximum risk-per-trade rule (e.g., 1–2% of capital).
• Avoid trading just before high-impact news or during market close volatility.
Disclaimer from aiTrendview
This indicator is for educational and informational use only. It does not constitute investment advice, financial recommendations, or trade signals. aiTrendview and its affiliates are not liable for any financial decisions or losses resulting from the use of this tool. Trading involves substantial risk and may not be suitable for all investors. Past performance of any method does not guarantee future results. Always consult a qualified financial advisor and perform due diligence before making any trading decisions.
Manadi Buy/Sell Strategy EMA + MACD + RSI + AlertsIt is a strategy / indicator of buy and sell special crypto for 15 min to 1 h time frame.
used with RSI, Macd, and Ema cros 9/21
52SIGNAL RECIPE Hidden Volume52SIGNAL RECIPE Hidden Volume
◆ Overview
52SIGNAL RECIPE Hidden Volume is an innovative indicator that visualizes the hidden buying and selling strength behind the conventional volume candles. By analyzing the relative proportion of buying and selling within each candle’s price range, it splits the total volume into buy volume and sell volume. Displayed as color-coded bars (blue for buying, pink for selling) in a separate panel below the chart, it provides clear insight into the market’s buying and selling pressure.
Unlike standard volume indicators that only show total volume, this indicator reveals the underlying balance and shifts in buying and selling power, offering traders a deeper understanding of market dynamics.
Furthermore, when viewed alongside the traditional volume candles that everyone commonly uses, it helps traders interpret price movements and volume flows more comprehensively, enabling a more insightful analysis of overall market trends.
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◆ Key Features
- Buy/Sell Volume Ratio Analysis: Calculates the relative buy and sell ratios based on the candle’s price movement range
- Hidden Buying and Selling Strength Visualization: Separately displays buy volume (blue) and sell volume (pink) as stacked bars in a dedicated bottom panel
- Real-time Data Reflection: Captures immediate changes in market buying and selling pressure based on live volume data
- Clear Visual Distinction: Uses background shading to easily highlight periods of buying dominance (blue) or selling dominance (pink)
- Quantified Buy/Sell Balance: Displays the current buying vs selling ratio numerically on chart labels for quick reference
- Recommended Use with Traditional Volume Candles: Designed to be used together with commonly used volume candles for more comprehensive market flow interpretation
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◆ Trading Application Points
- Provides deeper insight into market sentiment compared to conventional volume bars
- Helps identify shifts in buying and selling power indicative of trend continuations or reversals
- Useful as a complementary tool alongside price action to better time entries and exits
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◆ Synergy With Other Indicators
- Combine with trend indicators (RSI, MACD, Moving Averages) to validate trend strength and momentum
- Use together with volume and order flow tools to enhance understanding of market participant behavior
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◆ Conclusion
52SIGNAL RECIPE Hidden Volume is a powerful and intuitive tool that unveils the balance of buying and selling forces concealed within the total volume. By visualizing buy and sell volumes separately and updating in real-time, it allows traders to grasp the subtle shifts in market pressure and make more informed trading decisions.
Especially when used together with the traditional volume candles commonly referenced by most traders, it enhances traders’ ability to interpret price movement combined with volume flow in a more multi-dimensional and precise way, ultimately supporting more effective trading strategies.
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※ Disclaimer: This indicator is provided as a supplementary analysis tool and should not be used as the sole basis for trading decisions. Past data does not guarantee future results. Always apply proper risk management.
52SIGNAL RECIPE Hidden Volume
◆ 개요
52SIGNAL RECIPE Hidden Volume은 일반적인 볼륨 캔들 뒤에 숨겨진 매수와 매도의 힘의 크기를 가시화하는 지표입니다. 각 캔들의 가격 움직임 범위 내에서 매수와 매도의 상대적인 비율을 계산해, 총 거래량을 매수 볼륨과 매도 볼륨으로 나누어 보여줍니다. 별도의 차트 하단 패널에 파란색 매수 볼륨과 분홍색 매도 볼륨을 컬러 막대 그래프로 시각적으로 구분하여 시장 내 거래 심리와 매수·매도 압력을 명확하게 파악할 수 있도록 지원합니다.
일반 거래량 지표가 단순한 거래량 수치만 제공하는 반면, 이 지표는 매수세와 매도세의 숨겨진 균형과 변화를 직관적으로 보여줘, 시장 내부의 매매 강도와 방향성을 깊이 있게 이해하는 데 유용합니다.
또한, 일반적으로 모두가 사용하는 볼륨 캔들과 함께 병행해 보면, 가격 변동과 거래량의 흐름을 더 입체적으로 분석할 수 있어서 시장 전체의 흐름을 해석하는 데 훨씬 용이합니다.
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◆ 주요 특징
- 매수·매도 거래 비율 분석: 캔들의 가격 변동 범위를 기준으로 매수와 매도 비율 산출
- 숨겨진 매수·매도 힘 시각화: 별도 차트 하단 패널에서 매수 볼륨(파란색)과 매도 볼륨(분홍색)으로 구분하여 가시화
- 실시간 반영: 실시간으로 변하는 거래량 데이터에 기반해 시장 내부 매수·매도 압력 변화 즉시 포착
- 심플한 시각적 구분: 색상과 배경으로 매수 우세 또는 매도 우세 구간을 직관적으로 표시
- 매수·매도 힘의 균형 이해 지원: 차트 상단 텍스트 라벨로 현재 매수/매도 비율을 숫자로 제공
- 볼륨 캔들과 병행 사용 권장: 모두가 사용하는 기본 볼륨 캔들과 함께 보면서 시장 흐름 해석에 활용 가능
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◆ 트레이딩 활용 포인트
- 기존 거래량 지표 대비 더 깊은 시장 심리 분석 가능
- 매수세와 매도세 간 힘의 균형 변화를 주목하여 추세 전환이나 지속 신호로 활용
- 가격 흐름과 결합해 진입 및 청산 타이밍 설정에 도움
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◆ 다른 지표와 조합 가능성
- 가격 추세 지표(RSI, MACD, 이동평균선 등)와 함께 사용해 추세 강도와 매수·매도 압력 동시 분석
- 거래량 및 주문장 지표와 결합하여 시장 참여자 심리 및 매매 동향 파악 강화
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◆ 결론
52SIGNAL RECIPE Hidden Volume은 일반 볼륨 캔들만으로는 알기 어려운 매수와 매도 간의 힘의 균형을 명확히 보여주는 강력하고 직관적인 지표입니다. 실시간 거래량 내 매수·매도 비율을 분리해 시각화함으로써, 트레이더들이 시장 내부의 숨겨진 힘의 흐름을 이해하고 이를 바탕으로 한 전략적 의사결정을 내릴 수 있도록 돕습니다.
특히 일반적으로 많이 사용하는 볼륨 캔들과 함께 병행하여 볼 때, 가격 변동과 함께 시장의 거래 심리를 더욱 입체적이고 정확하게 해석할 수 있어 훨씬 효과적인 매매 전략 수립이 가능합니다.
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※ 면책 조항: 본 지표는 투자 판단을 위한 보조 도구로 제공되며, 단독 의존해서는 안 됩니다. 과거 데이터에 기반한 분석이므로 미래 결과를 보장하지 않으며, 적절한 리스크 관리와 함께 사용하시기 바랍니다.
