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Auto-Length Moving Average + Trend Signals (Zeiierman)โ–ˆ Overview The Auto-Length Moving Average + Trend Signals (Zeiierman) is an easy-to-use indicator designed to help traders dynamically adjust their moving average length based on market conditions. This tool adapts in real-time, expanding and contracting the moving average based on trend strength and momentum shifts. The indicator smooths out price fluctuations by modifying its length while ensuring responsiveness to new trends. In addition to its adaptive length algorithm, it incorporates trend confirmation signals, helping traders identify potential trend reversals and continuations with greater confidence. This indicator suits scalpers, swing traders, and trend-following investors who want a self-adjusting moving average that adapts to volatility, momentum, and price action dynamics. โ–ˆ How It Works โšช Dynamic Moving Average Length The core feature of this indicator is its ability to automatically adjust the length of the moving average based on trend persistence and market conditions: Expands in strong trends to reduce noise. Contracts in choppy or reversing markets for faster reaction. This allows for a more accurate moving average that aligns with current price dynamics. โšช Trend Confirmation & Signals The indicator includes built-in trend detection logic, classifying trends based on market structure. It evaluates trend strength based on consecutive bars and smooths out transitions between bullish, bearish, and neutral conditions. Uptrend: Price is persistently above the adjusted moving average. Downtrend: Price remains below the adjusted moving average. Neutral: Price fluctuates around the moving average, indicating possible consolidation. โšช Adaptive Trend Smoothing A smoothing factor is applied to enhance trend readability while minimizing excessive lag. This balances reactivity with stability, making it easier to follow longer-term trends while avoiding false signals. โ–ˆ How to Use โšช Trend Identification Bullish Trend: The indicator confirms an uptrend when the price consistently stays above the dynamically adjusted moving average. Bearish Trend: A downtrend is recognized when the price remains below the moving average. โšช Trade Entry & Exit Enter long when the dynamic moving average is green and a trend signal occurs. Exit when the price crosses below the dynamic moving average. Enter short when the dynamic moving average is red and a trend signal occurs. Exit when the price crosses above the dynamic moving average. โ–ˆ Slope-Based Reset This mode resets the trend counter when the moving average slope changes direction. โšช Interpretation & Insights Best for trend-following traders who want to filter out noise and only reset when a clear shift in momentum occurs. Higher slope length (N): More stable trends, fewer resets. Lower slope length (N): More reactive to small price swings, frequent resets. Useful in swing trading to track significant trend reversals. โ–ˆ RSI-Based Reset The counter resets when the Relative Strength Index (RSI) crosses predefined overbought or oversold levels. โšช Interpretation & Insights Best for reversal traders who look for extreme overbought/oversold conditions. High RSI threshold (e.g., 80/20): Fewer resets, only extreme conditions trigger adjustments. Lower RSI threshold (e.g., 60/40): More frequent resets, detecting smaller corrections. Great for detecting exhaustion in trends before potential reversals. โ–ˆ Volume-Based Reset A reset occurs when current volume significantly exceeds its moving average, signaling a shift in market participation. โšช Interpretation & Insights Best for traders who follow institutional activity (high volume often means large players are active). Higher volume SMA length: More stable trends, only resets on massive volume spikes. Lower volume SMA length: More reactive to short-term volume shifts. Useful in identifying breakout conditions and trend acceleration points. โ–ˆ Bollinger Band-Based Reset A reset occurs when price closes above the upper Bollinger Band or below the lower Bollinger Band, signaling potential overextension. โšช Interpretation & Insights Best for traders looking for volatility-based trend shifts. Higher Bollinger Band multiplier (k = 2.5+): Captures only major price extremes. Lower Bollinger Band multiplier (k = 1.5): Resets on moderate volatility changes. Useful for detecting overextensions in strong trends before potential retracements. โ–ˆ MACD-Based Reset A reset occurs when the MACD line crosses the signal line, indicating a momentum shift. โšช Interpretation & Insights Best for momentum traders looking for trend continuation vs. exhaustion signals. Longer MACD lengths (260, 120, 90): Captures major trend shifts. Shorter MACD lengths (10, 5, 3): Reacts quickly to momentum changes. Useful for detecting strong divergences and market shifts. โ–ˆ Stochastic-Based Reset A reset occurs when Stochastic %K crosses overbought or oversold levels. โšช Interpretation & Insights Best for short-term traders looking for fast momentum shifts. Longer Stochastic length: Filters out false signals. Shorter Stochastic length: Captures quick intraday shifts. โ–ˆ CCI-Based Reset A reset occurs when the Commodity Channel Index (CCI) crosses predefined overbought or oversold levels. The CCI measures the price deviation from its statistical mean, making it a useful tool for detecting overextensions in price action. โšช Interpretation & Insights Best for cycle traders who aim to identify overextended price deviations in trending or ranging markets. Higher CCI threshold (e.g., ยฑ200): Detects extreme overbought/oversold conditions before reversals. Lower CCI threshold (e.g., ยฑ10): More sensitive to trend shifts, useful for early signal detection. Ideal for detecting momentum shifts before price reverts to its mean or continues trending strongly. โ–ˆ Momentum-Based Reset A reset occurs when Momentum (Rate of Change) crosses zero, indicating a potential shift in price direction. โšช Interpretation & Insights Best for trend-following traders who want to track acceleration vs. deceleration. Higher momentum length: Captures longer-term shifts. Lower momentum length: More responsive to short-term trend changes. โ–ˆ How to Interpret the Trend Strength Table The Trend Strength Table provides valuable insights into the current market conditions by tracking how the dynamic moving average is adjusting based on trend persistence. Each metric in the table plays a role in understanding the strength, longevity, and stability of a trend. โšช Counter Value Represents the current length of trend persistence before a reset occurs. The higher the counter, the longer the current trend has been in place without resetting. When this value reaches the Counter Break Threshold, the moving average resets and contracts to become more reactive. Example: A low counter value (e.g., 10) suggests a recent trend reset, meaning the market might be changing directions frequently. A high counter value (e.g., 495) means the trend has been ongoing for a long time, indicating strong trend persistence. โšช Trend Strength Measures how strong the current trend is based on the trend confirmation logic. Higher values indicate stronger trends, while lower values suggest weaker trends or consolidations. This value is dynamic and updates based on price action. Example: Trend Strength of 760 โ†’ Indicates a high-confidence trend. Trend Strength of 50 โ†’ Suggests weak price action, possibly a choppy market. โšช Highest Trend Score Tracks the strongest trend score recorded during the session. Helps traders identify the most dominant trend observed in the timeframe. This metric is useful for analyzing historical trend strength and comparing it with current conditions. Example: Highest Trend Score = 760 โ†’ Suggests that at some point, there was a strong trend in play. If the current trend strength is much lower than this value, it could indicate trend exhaustion. โšช Average Trend Score This is a rolling average of trend strength across the session. Provides a bigger picture of how the trend strength fluctuates over time. If the average trend score is high, the market has had persistent trends. If it's low, the market may have been choppy or sideways. Example: Average Trend Score of 147 vs. Current Trend Strength of 760 โ†’ Indicates that the current trend is significantly stronger than the historical average, meaning a breakout might be occurring. Average Trend Score of 700+ โ†’ Suggests a strong trending market overall. โ–ˆ Settings โšช Dynamic MA Controls Base MA Length โ€“ Sets the starting length of the moving average before dynamic adjustments. Max Dynamic Length โ€“ Defines the upper limit for how much the moving average can expand. Trend Confirmation Length โ€“ The number of bars required to validate an uptrend or downtrend. โšช Reset & Adaptive Conditions Reset Condition Type โ€“ Choose what triggers the moving average reset (Slope, RSI, Volume, MACD, etc.). Trend Smoothing Factor โ€“ Adjusts how smoothly the moving average responds to price changes. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Penunjuk Pine Scriptยฎ
oleh Zeiierman
42
Periodical Trend [BigBeluga]The Periodical Trend indicator is designed to provide a detailed analysis of market trends and volatility. It utilizes a combination of Moving Averages and volatility measures to plot trend line, highlight potential trend reversals, and indicate mean reversion opportunities. The indicator offers customizable display options, allowing traders to adjust for sensitivity, volatility bands, and price deviation visibility. ๐Ÿ”ต KEY FEATURES โ— Periodical Trend Analysis Uses (high + volatility) or (low - volatility) as the foundation for trend analysis with a set period. // Condition to update the AVG array based on the selected mode if mode == "Normal" ? bar_index == 122 : bar_index % period == 0 AVG.push(close) // Add the close price to the AVG array // Update AVG array based on the period and price comparison if bar_index % period == 0 if close > AVG.last() // If the current close is greater than the last stored value in AVG AVG.push(low - vlt) // Add the low price minus volatility to the array if close < AVG.last() // If the current close is lower than the last stored value in AVG AVG.push(high + vlt) // Add the high price plus volatility to the array Provides adjustable sensitivity modes ("Normal" and "Sensitive") for different market conditions. Trend direction is visualized with dynamic color coding based on the relationship between the trend line and price. โ— Volatility Bands Displays upper and lower volatility bands derived from a moving average of price volatility (high-low). The bands help identify potential breakout zones, overbought, or oversold conditions. Users can toggle the visibility of the bands to suit their trading style. โ— Mean Reversion Signals Detects mean reversion opportunities when price deviates significantly from the trend line. Includes both regular and strong mean reversion signals, marked directly on the chart. Signals are based on oscillator crossovers, offering potential entry and exit points. โ— Price Deviation Oscillator Plots an oscillator that measures the deviation of price from the average trend line. The oscillator is normalized using standard deviation, highlighting extreme price deviations. Traders can choose to display the oscillator for in-depth analysis of price behavior relative to the trend. โ— Dynamic Trend Coloring The indicator colors the background on the direction of the trend. Green indicates bullish trends, while blue indicates bearish trends. The trend colors adapt dynamically to market conditions, providing clear visual cues for traders. ๐Ÿ”ต HOW TO USE โ— Trend Analysis The trend line represents the current market direction. A green trend line suggests a bullish trend, while a blue trend line indicates a bearish trend. Use the trend line in conjunction with volatility bands to confirm potential breakouts or areas of consolidation. โ— Volatility Bands Volatility bands offer insight into potential overbought or oversold conditions. Price exceeding these bands can signal a strong trend continuation or a possible reversal. โ— Mean Reversion Strategies Look for mean reversion signals (regular and strong) when price shows signs of reverting to the trend line after significant deviation. Regular signals are represented by small dots, while strong signals are represented by larger circles. These signals can be used as entry or exit points, depending on the market context. โ— Price Deviation Analysis The oscillator provides a detailed view of price deviations from the trend line. A positive oscillator value indicates that the price is above the trend, while a negative value suggests it is below. Use the oscillator to identify potential overbought or oversold conditions within the trend. ๐Ÿ”ต USER INPUTS โ— Period Defines the length of the period used for calculating the trend line. A higher period smooths out the trend, while a shorter period makes the trend line more sensitive to price changes. โ— Mode Choose between "Normal" and "Sensitive" modes for trend detection. The "Sensitive" mode responds more quickly to price changes, while the "Normal" mode offers smoother trend lines. โ— Volatility Bands Toggle the display of upper and lower volatility bands. These bands help identify potential areas of price exhaustion or continuation. โ— Price Deviation Toggle the display of the price deviation oscillator. This oscillator shows the deviation of the current price from the trend line and highlights extreme conditions. โ— Mean Reversion Signals Toggle the display of mean reversion signals. These signals highlight potential reversal points when the price deviates significantly from the trend. โ— Strong Mean Reversion Signals Toggle the display of stronger mean reversion signals, which occur at more extreme deviations from the trend. โ— Width Adjust the thickness of the trend line for better visibility on the chart. ๐Ÿ”ต CONCLUSION The Periodical Trend indicator combines trend analysis, volatility bands, and mean reversion signals to provide traders with a comprehensive tool for market analysis. By offering customizable display options and dynamic trend coloring, this indicator can adapt to different trading styles and market conditions. Whether you are a trend follower or a mean reversion trader, the Periodical Trend indicator helps identify key market opportunities and potential reversals. For optimal results, it is recommended to use this indicator alongside other technical analysis tools and within the context of a well-structured trading strategy.
Penunjuk Pine Scriptยฎ
oleh BigBeluga
2
Candlestick Trend Strength [AlgoAlpha]๐Ÿš€๐ŸŽ‰ Introducing the Candlestick Trend Strength by AlgoAlpha, a dynamic TradingView indicator designed to visually communicate the strength and direction of market trends right on your charts! ๐Ÿ•ฏ๏ธ๐Ÿ’ช Key Features: ๐ŸŒˆ Visual gauge for trend strength, color-coded for intuitive insights. โณ Customizable trend detection and normalization periods to match your trading strategy. ๐ŸŽจ Flexible color settings for both uptrend (green) and downtrend (red). ๐Ÿ”” Real-time alerts for trend reversals, helping you stay ahead of market moves. How to Use: ๐Ÿ›  Add the Indicator: Add the indicator to favorites and customize it to suit your needs. ๐Ÿ” Analyze the Trends: Monitor the color changes in the gauge and bar color to identify strengthening or weakening trends. ๐Ÿ”” Set Alerts: Configure alerts to notify you of trend changes, allowing you to react swiftly to trading opportunities without constant monitoring. Basic Logic Explained: The "Candlestick Trend Strength" indicator calculates the trend strength score by analyzing the ratio of the candle's wick to its body, alongside the direction of the candle (up or down). It uses a normalization period to adjust the sum of the trend score into a scale from -1 to 1, which is then plotted as a color gradient gauge from red (downtrend) to green (uptrend) on the chart. This representation helps traders quickly assess whether a trend is gaining or losing strength, and it updates in real-time with each new bar, providing a highly responsive tool for technical analysis. Embrace the power of visual trend analysis with the "Candlestick Trend Strength" by AlgoAlpha and transform your trading experience today! ๐ŸŒŸ๐Ÿ“ˆ
Penunjuk Pine Scriptยฎ
oleh AlgoAlpha
10
Strongest TrendlineUnleashing the Power of Trendlines with the "Strongest Trendline" Indicator. Trendlines are an invaluable tool in technical analysis, providing traders with insights into price movements and market trends. The "Strongest Trendline" indicator offers a powerful approach to identifying robust trendlines based on various parameters and technical analysis metrics. When using the "Strongest Trendline" indicator, it is recommended to utilize a logarithmic scale . This scale accurately represents percentage changes in price, allowing for a more comprehensive visualization of trends. Logarithmic scales highlight the proportional relationship between prices, ensuring that both large and small price movements are given due consideration. One of the notable advantages of logarithmic scales is their ability to balance price movements on a chart. This prevents larger price changes from dominating the visual representation, providing a more balanced perspective on the overall trend. Logarithmic scales are particularly useful when analyzing assets with significant price fluctuations. In some cases, traders may need to scroll back on the chart to view the trendlines generated by the "Strongest Trendline" indicator. By scrolling back, traders ensure they have a sufficient historical context to accurately assess the strength and reliability of the trendline. This comprehensive analysis allows for the identification of trendline patterns and correlations between historical price movements and current market conditions. The "Strongest Trendline" indicator calculates trendlines based on historical data, requiring an adequate number of data points to identify the strongest trend. By scrolling back and considering historical patterns, traders can make more informed trading decisions and identify potential entry or exit points. When using the "Strongest Trendline" indicator, a higher Pearson's R value signifies a stronger trendline. The closer the Pearson's R value is to 1, the more reliable and robust the trendline is considered to be. In conclusion, the "Strongest Trendline" indicator offers traders a robust method for identifying trendlines with significant predictive power. By utilizing a logarithmic scale and considering historical data, traders can unleash the full potential of this indicator and gain valuable insights into price trends. Trendlines, when used in conjunction with other technical analysis tools, can help traders make more informed decisions in the dynamic world of financial markets.
Penunjuk Pine Scriptยฎ
oleh Julien_Eche
9
Linear Regression Channel [TradingFinder] Existing Trend Line๐Ÿ”ต Introduction The Linear Regression Channel indicator is one of the technical analysis tool, widely used to identify support, resistance, and analyze upward and downward trends. The Linear Regression Channel comprises five main components : the midline, representing the linear regression line, and the support and resistance lines, which are calculated based on the distance from the midline using either standard deviation or ATR. This indicator leverages linear regression to forecast price changes based on historical data and encapsulates price movements within a price channel. The upper and lower lines of the channel, which define resistance and support levels, assist traders in pinpointing entry and exit points, ultimately aiding better trading decisions. When prices approach these channel lines, the likelihood of interaction with support or resistance levels increases, and breaking through these lines may signal a price reversal or continuation. Due to its precision in identifying price trends, analyzing trend reversals, and determining key price levels, the Linear Regression Channel indicator is widely regarded as a reliable tool across financial markets such as Forex, stocks, and cryptocurrencies. ๐Ÿ”ต How to Use ๐ŸŸฃ Identifying Entry Signals One of the primary uses of this indicator is recognizing buy signals. The lower channel line acts as a support level, and when the price nears this line, the likelihood of an upward reversal increases. In an uptrend : When the price approaches the lower channel line and signs of upward reversal (e.g., reversal candlesticks or high trading volume) are observed, it is considered a buy signal. In a downtrend : If the price breaks the lower channel line and subsequently re-enters the channel, it may signal a trend change, offering a buying opportunity. ๐ŸŸฃ Identifying Exit Signals The Linear Regression Channel is also used to identify sell signals. The upper channel line generally acts as a resistance level, and when the price approaches this line, the likelihood of a price decrease increases. In an uptrend : Approaching the upper channel line and observing weakness in the uptrend (e.g., declining volume or reversal patterns) indicates a sell signal. In a downtrend : When the price reaches the upper channel line and reverses downward, this is considered a signal to exit trades. ๐ŸŸฃ Analyzing Channel Breakouts The Linear Regression Channel allows traders to identify price breakouts as strong signals of potential trend changes. Breaking the upper channel line : Indicates buyer strength and the likelihood of a continued uptrend, often accompanied by increased trading volume. Breaking the lower channel line : Suggests seller dominance and the possibility of a continued downtrend, providing a strong sell signal. ๐ŸŸฃ Mean Reversion Analysis A key concept in using the Linear Regression Channel is the tendency for prices to revert to the midline of the channel, which acts as a dynamic moving average, reflecting the price's equilibrium over time. In uptrends : Significant deviations from the midline increase the likelihood of a price retracement toward the midline. In downtrends : When prices deviate considerably from the midline, a return toward the midline can be used to identify potential reversal points. ๐Ÿ”ต Settings ๐ŸŸฃ Time Frame The time frame setting enables users to view higher time frame data on a lower time frame chart. This feature is especially useful for traders employing multi-time frame analysis. ๐ŸŸฃ Regression Type Standard : Utilizes classical linear regression to draw the midline and channel lines. Advanced : Produces similar results to the standard method but may provide slightly different alignment on the chart. ๐ŸŸฃ Scaling Type Standard Deviation : Suitable for markets with stable volatility. ATR (Average True Range) : Ideal for markets with higher volatility. ๐ŸŸฃ Scaling Coefficients Larger coefficients create broader channels for broader trend analysis. Smaller coefficients produce tighter channels for precision analysis. ๐ŸŸฃ Channel Extension None : No extension. Left: Extends lines to the left to analyze historical trends. Right : Extends lines to the right for future predictions. Both : Extends lines in both directions. ๐Ÿ”ต Conclusion The Linear Regression Channel indicator is a versatile and powerful tool in technical analysis, providing traders with support, resistance, and midline insights to better understand price behavior. Its advanced settings, including time frame selection, regression type, scaling options, and customizable coefficients, allow for tailored and precise analysis. One of its standout advantages is its ability to support multi-time frame analysis, enabling traders to view higher time frame data within a lower time frame context. The option to use scaling methods like ATR or standard deviation further enhances its adaptability to markets with varying volatility. Designed to identify entry and exit signals, analyze mean reversion, and assess channel breakouts, this indicator is suitable for a wide range of markets, including Forex, stocks, and cryptocurrencies. By incorporating this tool into your trading strategy, you can make more informed decisions and improve the accuracy of your market predictions.
Penunjuk Pine Scriptยฎ
oleh TFlab
5
Donchian Trend Ribbon (Gradient)Donchian Trend Ribbon (Gradient) Indicator The Donchian Trend Ribbon (Gradient) uses Donchian Channels to visualize trend direction, strength, and market phases. Columns with varying colors and intensity help traders quickly assess trends. Key Components: Green Columns (Bullish): Appear when price is above the upper Donchian Channel boundary. Bright green in the top zone (25-50): Strong bullish trend. Darker green in the lower zone (0-25): Weak/moderate bullish trend. A full-height bright green column indicates a very strong upward move. Red Columns (Bearish): Appear when price is below the lower Donchian Channel boundary. Bright red in the top zone (25-50): Strong bearish trend. Darker red in the lower zone (0-25): Weak/moderate bearish trend. A full-height bright red column indicates a very strong downward move. Black Columns (Neutral): Indicate no trend or market consolidation. Signal to wait for trend emergence. Expanding Steps: Steps expanding downward from the upper edge (50) suggest diminishing momentum. Steps expanding upward from the lower edge (0) indicate growing trend strength. Methods of Use: Identify Trends: Green (buy) or red (sell) columns in the top zone (25-50) signal strong trends. Assess Strength: Bright colors = strong trends, darker colors = weaker trends. Full-height bright columns indicate very strong moves. Neutral Phases: Black columns suggest waiting for a trend. Example Strategy: Buy when green columns appear in the 25-50 range with bright intensity. Sell when red columns appear in the 25-50 range with bright intensity. Exit positions if columns turn black or darker-colored.
Penunjuk Pine Scriptยฎ
oleh Spincode2
3
Correlation Confluence Trend IndicatorCorrelation Confluence Trend Indicator Overview The Correlation Confluence Trend Indicator combines exponential moving averages (EMAs) and statistical correlation measures to identify high-confidence trend alignments between an asset and a benchmark. By filtering signals through correlation strength, this indicator highlights opportunities when the asset and benchmark move together. In other words, it defines a trend and then uses correlation strength and the trend of a second asset to identify high-confidence trends. Key Features Dual EMA Trend Analysis : Calculates fast and slow EMAs for both the asset and the selected benchmark (e.g., SPY) to identify bullish and bearish trends. Correlation Strength Filtering : Evaluates correlation between the asset and benchmark, identifying stronger-than-average relationships based on the mean and standard deviation. Background Color Coding : - Green : Strong correlation, both asset and benchmark bullish. - Aqua : Weak correlation, both asset and benchmark bullish. - Red : Strong correlation, both asset and benchmark bearish. - Fuchsia : Weak correlation, both asset and benchmark bearish. - Orange : Strong correlation, benchmark bullish, asset bearish. - Yellow : Weak correlation, benchmark bullish, asset bearish. - Purple : Strong correlation, benchmark bearish, asset bullish. - Lime : Weak correlation, benchmark bearish, asset bullish. Visual Trend Indicators : Plots fast and slow EMAs for the asset, dynamically colored based on aggregate trend signals. The color of this corresponds to the main trend signal. Inputs Benchmark Symbol : Symbol of the benchmark asset to compare against. Fast EMA Length : Period for the fast EMA calculation. Slow EMA Length : Period for the slow EMA calculation. Correlation Length : Number of bars for correlation calculation. Correlation Mean Length : Number of bars for mean and standard deviation calculation. Std Dev Multiplier : Multiplier for standard deviation to define correlation strength. When the correlation is Std Dev Multiplier standard deviations above the mean, it counts as a strong correlation. Set Background Color : Toggle background coloring on or off. Notes This indicator is primarily designed for trend-following strategies. By combining trend analysis and correlation filtering, it ensures that signals occur during aligned market conditions, reducing false signals. Before incorporating this indicator into your trading strategy: Always backtest on historical data to evaluate its performance before committing capital. Use proper risk management to control position sizes and mitigate potential losses. Remember that no indicator guarantees success. I'm quite proud of this one, but it's not the holy grail.
Penunjuk Pine Scriptยฎ
oleh nathanfarmer
Adaptive Kalman Trend Filter (Zeiierman)โ–ˆ Overview The Adaptive Kalman Trend Filter indicator is an advanced trend-following tool designed to help traders accurately identify market trends. Utilizing the Kalman Filterโ€”a statistical algorithm rooted in control theory and signal processingโ€”this indicator adapts to changing market conditions, smoothing price data to filter out noise. By focusing on state vector-based calculations, it dynamically adjusts trend and range measurements, making it an excellent tool for both trend-following and range-based trading strategies. The indicator's adaptive nature is enhanced by options for volatility adjustment and three unique Kalman filter models, each tailored for different market conditions. โ–ˆ How It Works The Kalman Filter works by maintaining a model of the market state through matrices that represent state variables, error covariances, and measurement uncertainties. Hereโ€™s how each component plays a role in calculating the indicatorโ€™s trend: โšช State Vector (X): The state vector is a two-dimensional array where each element represents a market property. The first element is an estimate of the true price, while the second element represents the rate of change or trend in that price. This vector is updated iteratively with each new price, maintaining an ongoing estimate of both price and trend direction. โšช Covariance Matrix (P): The covariance matrix represents the uncertainty in the state vectorโ€™s estimates. It continuously adapts to changing conditions, representing how much error we expect in our trend and price estimates. Lower covariance values suggest higher confidence in the estimates, while higher values indicate less certainty, often due to market volatility. โšช Process Noise (Q): The process noise matrix (Q) is used to account for uncertainties in price movements that arenโ€™t explained by historical trends. By allowing some degree of randomness, it enables the Kalman Filter to remain responsive to new data without overreacting to minor fluctuations. This noise is particularly useful in smoothing out price movements in highly volatile markets. โšช Measurement Noise (R): Measurement noise is an external input representing the reliability of each new price observation. In this indicator, it is represented by the setting Measurement Noise and determines how much weight is given to each new price point. Higher measurement noise makes the indicator less reactive to recent prices, smoothing the trend further. โšช Update Equations: Prediction: The state vector and covariance matrix are first projected forward using a state transition matrix (F), which includes market estimates based on past data. This gives a โ€œpredictedโ€ state before the next actual price is known. Kalman Gain Calculation: The Kalman gain is calculated by comparing the predicted state with the actual price, balancing between the covariance matrix and measurement noise. This gain determines how much of the observed price should influence the state vector. Correction: The observed price is then compared to the predicted price, and the state vector is updated using this Kalman gain. The updated covariance matrix reflects any adjustment in uncertainty based on the latest data. โ–ˆ Three Kalman Filter Models Standard Model: Assumes that market fluctuations follow a linear progression without external adjustments. It is best suited for stable markets. Volume Adjusted Model: Adjusts the filter sensitivity based on trading volume. High-volume periods result in stronger trends, making this model suitable for volume-driven assets. Parkinson Adjusted Model: Uses the Parkinson estimator, accounting for volatility through high-low price ranges, making it effective in markets with high intraday fluctuations. These models enable traders to choose a filter that aligns with current market conditions, enhancing trend accuracy and responsiveness. โ–ˆ Trend Strength The Trend Strength provides a visual representation of the current trend's strength as a percentage based on oscillator calculations from the Kalman filter. This table divides trend strength into color-coded segments, helping traders quickly assess whether the market is strongly trending or nearing a reversal point. A high trend strength percentage indicates a robust trend, while a low percentage suggests weakening momentum or consolidation. โ–ˆ Trend Range The Trend Range section evaluates the market's directional movement over a specified lookback period, highlighting areas where price oscillations indicate a trend. This calculation assesses how prices vary within the range, offering an indication of trend stability or the likelihood of reversals. By adjusting the trend range setting, traders can fine-tune the indicatorโ€™s sensitivity to longer or shorter trends. โ–ˆ Sigma Bands The Sigma Bands in the indicator are based on statistical standard deviations (sigma levels), which act as dynamic support and resistance zones. These bands are calculated using the Kalman Filter's trend estimates and adjusted for volatility (if enabled). The bands expand and contract according to market volatility, providing a unique visualization of price boundaries. In high-volatility periods, the bands widen, offering better protection against false breakouts. During low volatility, the bands narrow, closely tracking price movements. Traders can use these sigma bands to spot potential entry and exit points, aiming for reversion trades or trend continuation setups. Trend Based Volatility Based โ–ˆ How to Use Trend Following: When the Kalman Filter is green, it signals a bullish trend, and when itโ€™s red, it indicates a bearish trend. The Sigma Cloud provides additional insights into trend strength. In a strong bullish trend, the cloud remains below the Kalman Filter line, while in a strong bearish trend, the cloud stays above it. Expansion and contraction of the Sigma Cloud indicate market momentum changes. Rapid expansion suggests an impulsive move, which could either signal the continuation of the trend or be an early sign of a possible trend reversal. Mean Reversion: Watch for prices touching the upper or lower sigma bands, which often act as dynamic support and resistance. Volatility Breakouts: Enable volatility-adjusted sigma bands. During high volatility, watch for price movements that extend beyond the bands as potential breakout signals. Trend Continuation: When the Kalman Filter line aligns with a high trend strength, it signals a continuation in that direction. โ–ˆ Settings Measurement Noise: Adjusts how sensitive the indicator is to price changes. Higher values smooth out fluctuations but delay reaction, while lower values increase sensitivity to short-term changes. Kalman Filter Model: Choose between the standard, volume-adjusted, and Parkinson-adjusted models based on market conditions. Band Sigma: Sets the standard deviation used for calculating the sigma bands, directly affecting the width of the dynamic support and resistance. Volatility Adjusted Bands: Enables bands to dynamically adapt to volatility, increasing their effectiveness in fluctuating markets. Trend Strength: Defines the lookback period for trend strength calculation. Shorter periods result in more responsive trend strength readings, while longer periods smooth out the calculation. Trend Range: Specifies the lookback period for the trend range, affecting the assessment of trend stability over time. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Penunjuk Pine Scriptยฎ
oleh Zeiierman
32
Half Trend Regression [AlgoAlpha]Introducing the Half Trend Regression indicator by AlgoAlpha, a cutting-edge tool designed to provide traders with precise trend detection and reversal signals. This indicator uniquely combines linear regression analysis with ATR-based channel offsets to deliver a dynamic view of market trends. Ideal for traders looking to integrate statistical methods into their analysis to improve trade timing and decision-making. Key Features ๐ŸŽจ Customizable Appearance : Adjust colors for bullish (green) and bearish (red) trends to match your charting preferences. ๐Ÿ”ง Flexible Parameters : Configure amplitude, channel deviation, and linear regression length to tailor the indicator to different time frames and trading styles. ๐Ÿ“ˆ Dynamic Trend Line : Utilizes linear regression of high, low, and close prices to calculate a trend line that adapts to market movements. ๐Ÿš€ Trend Direction Signals : Provides clear visual signals for potential trend reversals with plotted arrows on the chart. ๐Ÿ“Š Adaptive Channels : Incorporates ATR-based channel offsets to account for market volatility and highlight potential support and resistance zones. ๐Ÿ”” Alerts : Set up alerts for bullish or bearish trend changes to stay informed of market shifts in real-time. How to Use ๐Ÿ›  Add the Indicator : Add the Half Trend Regression indicator to your chart from the TradingView library. Access the settings to customize parameters such as amplitude, channel deviation, and linear regression length to suit your trading strategy. ๐Ÿ“Š Analyze the Trend : Observe the plotted trend line and the filled areas under it. A green fill indicates a bullish trend, while a red fill indicates a bearish trend. ๐Ÿ”” Set Alerts : Use the built-in alert conditions to receive notifications when a trend reversal is detected, allowing you to react promptly to market changes. How It Works The Half Trend Regression indicator calculates linear regression lines for the high, low, and close prices over a specified period to determine the general direction of the market. It then computes moving averages and identifies the highest and lowest points within these regression lines to establish a dynamic trend line. The trend direction is determined by comparing the moving averages and previous price levels, updating as new data becomes available. To account for market volatility, the indicator calculates channels above and below the trend line, offset by a multiple of half the Average True Range (ATR). These channels help visualize potential support and resistance zones. The area under the trend line is filled with color corresponding to the current trend directionโ€”green for bullish and red for bearish. When the trend direction changes, the indicator plots arrows on the chart to signal a potential reversal, and alerts can be set up to notify you. By integrating linear regression and ATR-based channels, the indicator provides a comprehensive view of market trends and potential reversal points, aiding traders in making informed decisions. Enhance your trading strategy with the Half Trend Regression indicator by AlgoAlpha and gain a statistical edge in the markets! ๐ŸŒŸ๐Ÿ“Š
Penunjuk Pine Scriptยฎ
oleh AlgoAlpha
3
Percent Trend Change [BigBeluga]The Percent Trend Change indicator is a trend-following tool that provides real-time percentage changes during trends based on entry prices. Using John Ehlersโ€™ Ultimate Smoother filter, it detects trend direction, identifies uptrends and downtrends, and tracks percentage changes during the trend. Additionally, it has a channel that can be toggled on or off, and the width can be customized, adding an extra visual layer to assess trend strength and direction. NIFTY50: META: ๐Ÿ”ต IDEA The Percent Trend Change indicator helps traders visualize the progression of a trend with percentage changes from entry points. It identifies trends and marks percentage changes during the trend, making it easier to assess the strength and sustainability of the ongoing trend. The use of John Ehlers' Ultimate Smoother filter helps detect trend changes based on consecutive price movements over five bars, making it highly responsive to short- and medium-term trends. ๐Ÿ”ต KEY FEATURES & USAGE โ—‰ Ultimate Smoother Filter for Trend Detection: The trend is detected using the Ultimate Smoother filter. If the smoothed line rises five times in a row, the indicator identifies an uptrend. If it falls five times in a row, it identifies a downtrend. โ—‰ Trend Entry with Price Labels: The indicator marks trend entry points with up (green) and down (red) triangles. These triangles are labeled with the entry price, allowing traders to track the starting price of the trend. โ—‰ Percentage Change Labels During Trends: During a trend, the indicator periodically plots percentage change labels based on the bar period set in the settings. In an uptrend, positive changes are marked in green, while negative changes are marked in orange. In a downtrend, negative changes are marked in red, while positive changes are marked in orange. Each plotted percentage label also includes a count of the trend points, allowing traders to track how many times the percentage labels have been plotted during the current trend. These percentage labels help traders understand how much the price has changed since the trend began and can be used to define potential take-profit targets. โ—‰ Channel Toggle and Width Customization: The indicator includes a channel that visually highlights the trend. Traders can toggle this channel on or off, and the width of the channel can be adjusted to match individual preferences. The channel helps visualize the overall trend direction and the range within which price fluctuations occur. ๐Ÿ”ต CUSTOMIZATION Smoother Length: Adjusts the length of the Ultimate Smoother filter, affecting how responsive the indicator is to price fluctuations. Bars Percent: Defines how many bars must pass before a new percentage label is plotted. A smaller value plots labels more frequently, while a higher value shows fewer labels. Channel Width & Show Channel: The width of the channel can be customized, and traders can toggle the channel on or off depending on their preferences. Color Customization: Traders can customize the colors for the uptrend, downtrend, and percentage labels, providing flexibility in how the indicator is displayed on the chart. By combining trend-following capabilities with percentage change tracking, the Percent Trend Change indicator offers a powerful tool for identifying trend direction and setting potential take-profit targets. The ability to customize the channel and percentage labels makes it adaptable to various trading strategies.
Penunjuk Pine Scriptยฎ
oleh BigBeluga
8
Multi-Average Trend Indicator (MATI)[FibonacciFlux]Multi-Average Trend Indicator (MATI) Overview The Multi-Average Trend Indicator (MATI) is a versatile technical analysis tool designed for traders who aim to enhance their market insights and streamline their decision-making processes across various timeframes. By integrating multiple advanced moving averages, this indicator serves as a robust framework for identifying market trends, making it suitable for different trading stylesโ€”from scalping to swing trading. MATI 4-hourly support/resistance MATI 1-hourly support/resistance MATI 15 minutes support/resistance MATI 1 minutes support/resistance Key Features 1. Diverse Moving Averages - COVWMA (Coefficient of Variation Weighted Moving Average) : - Provides insights into price volatility, helping traders identify the strength of trends in fast-moving markets, particularly useful for 1-minute scalping . - DEMA (Double Exponential Moving Average) : - Minimizes lag and quickly responds to price changes, making it ideal for capturing short-term price movements during volatile trading sessions . - EMA (Exponential Moving Average) : - Focuses on recent price action to indicate the prevailing trend, vital for day traders looking to enter positions based on current momentum. - KAMA (Kaufman's Adaptive Moving Average) : - Adapts to market volatility, smoothing out price action and reducing false signals, which is crucial for 4-hour day trading strategies. - SMA (Simple Moving Average) : - Provides a foundational view of the market trend, useful for swing traders looking at overall price direction over longer periods. - VIDYA (Variable Index Dynamic Average) : - Adjusts based on market conditions, offering a dynamic perspective that can help traders capture emerging trends. 2. Combined Moving Average - The MATI's combined moving average synthesizes all individual moving averages into a single line, providing a clear and concise summary of market direction. This feature is especially useful for identifying trend continuations or reversals across various timeframes . 3. Dynamic Color Coding - Each moving average is visually represented with color coding: - Green indicates bullish conditions, while Red suggests bearish trends. - This visual feedback allows traders to quickly assess market sentiment, facilitating faster decision-making. 4. Signal Generation and Alerts - The indicator generates buy signals when the combined moving average crosses above its previous value, indicating a potential upward trendโ€”ideal for quick entries in scalping. - Conversely, sell signals are triggered when the combined moving average crosses below its previous value, useful for exiting positions or entering short trades. Insights and Applications 1. Scalping on 1-Minute Charts - The MATI excels in fast-paced environments, allowing scalpers to identify quick entry and exit points based on short-term trends. With dynamic signals and alerts, traders can react swiftly to price movements, maximizing profit potential in brief price fluctuations. 2. Day Trading on 4-Hour Charts - For day traders, the MATI provides essential insights into intraday trends. By analyzing the combined moving average and its relation to individual moving averages, traders can make informed decisions on when to enter or exit positions, capitalizing on daily price swings. 3. Swing Trading on Daily Charts - The MATI also serves as a valuable tool for swing traders. By evaluating longer-term trends through the combined moving average, traders can identify potential swing points and adjust their strategies accordingly. The flexibility of adjusting the lengths of the moving averages allows for tailored approaches based on market volatility. Benefits 1. Clarity and Insight - The combination of diverse moving averages offers a clear visual representation of market trends, aiding traders in making informed decisions across multiple timeframes. 2. Flexibility and Customization - With adjustable parameters, traders can adapt the MATI to their specific strategies, making it suitable for various market conditions and trading styles. 3. Real-Time Alerts and Efficiency - Built-in alerts minimize response times, allowing traders to capitalize on opportunities as they arise, regardless of their trading style. Conclusion The Multi-Average Trend Indicator (MATI) is an essential tool for traders seeking to enhance their technical analysis capabilities. By seamlessly integrating multiple moving averages with dynamic color coding and real-time alerts, this indicator provides a comprehensive approach to understanding market trends. Its versatility makes it an invaluable asset for scalpers, day traders, and swing traders alike. Important Note As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for market fluctuations.
Penunjuk Pine Scriptยฎ
oleh FibonacciFlux
Zero Lag Trend Signals (MTF) [AlgoAlpha]Zero Lag Trend Signals ๐Ÿš€๐Ÿ“ˆ Ready to take your trend-following strategy to the next level? Say hello to Zero Lag Trend Signals , a precision-engineered Pine Scriptโ„ข indicator designed to eliminate lag and provide rapid trend insights across multiple timeframes. ๐Ÿ’ก This tool blends zero-lag EMA (ZLEMA) logic with volatility bands, trend-shift markers, and dynamic alerts. The result? Timely signals with minimal noise for clearer decision-making, whether you're trading intraday or on longer horizons. ๐Ÿ”„ ๐ŸŸข Zero-Lag Trend Detection : Uses a zero-lag EMA (ZLEMA) to smooth price data while minimizing delay. โšก Multi-Timeframe Signals : Displays trends across up to 5 timeframes (from 5 minutes to daily) on a sleek table. ๐Ÿ“Š Volatility-Based Bands : Adaptive upper and lower bands, helping you identify trend reversals with reduced false signals. ๐Ÿ”” Custom Alerts : Get notified of key trend changes instantly with built-in alert conditions. ๐ŸŽจ Color-Coded Visualization : Bullish and bearish signals pop with clear color coding, ensuring easy chart reading. โš™๏ธ Fully Configurable : Modify EMA length, band multiplier, colors, and timeframe settings to suit your strategy. How to Use ๐Ÿ“š โญ Add the Indicator : Add the indicator to favorites by pressing the star icon. Set your preferred EMA length and band multiplier. Choose your desired timeframes for multi-frame trend monitoring. ๐Ÿ’ป Watch the Table & Chart : The top-right table dynamically updates with bullish or bearish signals across multiple timeframes. Colored arrows on the chart indicate potential entry points when the price crosses the ZLEMA with confirmation from volatility bands. ๐Ÿ”” Enable Alerts : Configure alerts for real-time notifications when trends shiftโ€”no need to monitor charts constantly. How It Works ๐Ÿง  The script calculates the zero-lag EMA (ZLEMA) by compensating for data lag, giving traders more responsive moving averages. It checks for volatility shifts using the Average True Range (ATR), multiplied to create upper and lower deviation bands. If the price crosses above or below these bands, it marks the start of new trends. Additionally, the indicator aggregates trend data from up to five configurable timeframes and displays them in a neat summary table. This helps you confirm trends across different intervalsโ€”ideal for multi-timeframe analysis. The visual signals include upward and downward arrows on the chart, denoting potential entries or exits when trends align across timeframes. Traders can use these cues to make well-timed trades and avoid lag-related pitfalls.
Penunjuk Pine Scriptยฎ
oleh AlgoAlpha
68
Adaptive Schaff Trend Cycle (STC) [AlgoAlpha]Introducing the Adaptive Schaff Trend Cycle by AlgoAlpha: Elevate Your Trading Strategies ๐Ÿš€ Discover precision and adaptability with the Adaptive Schaff Trend Cycle ๐ŸŽฏ, meticulously crafted for traders seeking an edge in the markets. This advanced tool integrates sophisticated algorithms to offer clear insights and real-time analytics ๐Ÿ“ˆ. Key Features: โš™๏ธAdaptive Signal Processing: Utilizes evolving calculations to adjust to market changes, offering highly responsive signals. ๐Ÿ”Enhanced MACD Analysis: Innovates on the traditional MACD, providing new insights into market dynamics through an adaptive lens. ๐ŸŽจCustomizable Visual Experience: Features customizable up and down colors for tailored chart analysis. ๐Ÿ””Real-Time Alerts: Stay informed with instant alerts on indicator changes. Quick Guide to Using the Adaptive STC Indicator 1. ๐Ÿ”ง Adding the Indicator: Search for "Adaptive Schaff Trend Cycle (STC) " within TradingView's Indicators & Strategies and apply it to your chart. Customize the settings according to your trading style for optimum results. 2.๐Ÿ‘€ Market Analysis: Monitor the STC and Histogram values closely. The indicator's color gradients provide a visual representation of momentum shifts, helping you to identify trends more clearly. 3. ๐Ÿšจ Set Alerts: Enable alerts for specific conditions like significant moves up or down, or when the histogram crosses zero. This feature ensures you never miss a potential trading opportunity. How It Works: The Adaptive Schaff Trend Cycle by AlgoAlpha introduces a dynamic approach to market analysis, refining traditional indicators through adaptive logic to align with fluctuating market conditions. Here's a concise overview of its operation: ๐Ÿ”„ Adaptive MACD Adjustment: The foundation of the indicator is an enhanced MACD calculation, which dynamically adjusts its parameters based on real-time market trends and momentum. This algorithmic adjustment aims to ensure the MACD's responsiveness to market changes, adapting its sensitivity to offer timely insights . ๐ŸŒŸ Integration of Schaff Trend Cycle (STC): After adjusting the MACD, the indicator calculates STC values to provide a smoothed representation of market trends. By normalizing and smoothing the MACD values on a scale from 0 to 100, the STC method helps in identifying market phases with a clear visualization. The smoothing process is designed to mitigate noise and focus on significant market movements . ๐Ÿ“Š Visualization and Alerts: To aid in the interpretation of these insights, the Adaptive Schaff Trend Cycle employs color gradients and customizable visual settings to indicate momentum shifts. These visual cues, combined with alert functionalities, are structured to assist traders in monitoring market developments, enabling them to make informed decisions based on the presented data . ๐Ÿ› ๏ธThe Adaptive Schaff Trend Cycle thus merges adaptive MACD adjustments with STC methodology, supported by visual and alert features, to create a tool aimed at enhancing market analysis. By focusing on adaptability and current market conditions, it provides a nuanced view of market trends, intended to support traders in their decision-making processes without promising predictive accuracy or reliability .
Penunjuk Pine Scriptยฎ
oleh AlgoAlpha
8
Highest-Lowest Trend๐™ƒ๐™„๐™‚๐™ƒ๐™€๐™Ž๐™-๐™‡๐™Š๐™’๐™€๐™Ž๐™ ๐™๐™๐™€๐™‰๐˜ฟ ๐™„๐™‰๐˜ฟ๐™„๐˜พ๐˜ผ๐™๐™Š๐™ Overview: The "Highest-Lowest Trend" indicator helps traders identify trends based on the highest and lowest values within a specified period. It provides visual cues to understand potential trend changes, making it a valuable tool for technical analysis. Settings: Length and Offset: Adjust the length and offset parameters to customize the sensitivity of the indicator. Source: Determines whether to use the high and low prices or the closing price and others for calculations. Visual Settings: Bar Color: Enables or disables the coloring of bars based on the trend direction. Up Color: Specifies the color for upward trends. Down Color: Specifies the color for downward trends. Indicator Calculation: The indicator calculates the highest and lowest values within the defined length and offset. The current trend is determined based on whether the closing price is above or below these values. When the source crossed above highest indicator changes trend to upside and start to use lowest value and vice versa. /// ๐™„๐™‰๐˜ฟ๐™„๐˜พ๐˜ผ๐™๐™Š๐™ ๐˜พ๐˜ผ๐™‡๐˜พ๐™๐™‡๐˜ผ๐™๐™„๐™Š๐™‰ /// var series float hlt = 0.0 series float upper = ta.highest(Use_High_and_Low ? high : src, length) series float lower = ta.lowest( Use_High_and_Low ? high : src, length) hlt := src > upper ? lower : src < lower ? upper : nz(hlt) Usage: Trend Identification: Watch for price to be above Trend Indicator crosses for up trend and below for down trend. Length and Offset: Adjust the length and offset parameters to customize the sensitivity of the indicator. Color, color bars: Change color of trends and bars for your taste Note: Trading involves inherent risks, and it is essential to exercise caution and employ multiple tools and indicators for comprehensive analysis. While the "Highest-Lowest Trend" indicator provides valuable insights into potential trend changes, relying solely on one tool for trading decisions is not recommended. Market conditions can be dynamic, and using a combination of indicators can enhance your overall analysis, providing a more robust foundation for decision-making. Always consider the broader market context, risk management strategies, and other relevant factors before executing trades.
Penunjuk Pine Scriptยฎ
oleh VanHe1sing
6
Adaptive Trend Finder (log)In the dynamic landscape of financial markets, the Adaptive Trend Finder (log) stands out as an example of precision and professionalism. This advanced tool, equipped with a unique feature, offers traders a sophisticated approach to market trend analysis: the choice between automatic detection of the long-term or short-term trend channel. Key Features: 1. Choice Between Long-Term or Short-Term Trend Channel Detection: Positioned first, this distinctive feature of the Adaptive Trend Finder (log) allows traders to customize their analysis by choosing between the automatic detection of the long-term or short-term trend channel. This increased flexibility adapts to individual trading preferences and changing market conditions. 2. Autonomous Trend Channel Detection: Leveraging the robust statistical measure of the Pearson coefficient, the Adaptive Trend Finder (log) excels in autonomously locating the optimal trend channel. This data-driven approach ensures objective trend analysis, reducing subjective biases, and enhancing overall precision. 3. Precision of Logarithmic Scale: A distinctive characteristic of our indicator is its strategic use of the logarithmic scale for regression channels. This approach enables nuanced analysis of linear regression channels, capturing the subtleties of trends while accommodating variations in the amplitude of price movements. 4. Length and Strength Visualization: Traders gain a comprehensive view of the selected trend channel, with the revelation of its length and quantification of trend strength. These dual pieces of information empower traders to make informed decisions, providing insights into both the direction and intensity of the prevailing trend. In the demanding universe of financial markets, the Adaptive Trend Finder (log) asserts itself as an essential tool for traders, offering an unparalleled combination of precision, professionalism, and customization. Highlighting the choice between automatic detection of the long-term or short-term trend channel in the first position, this indicator uniquely caters to the specific needs of each trader, ensuring informed decision-making in an ever-evolving financial environment.
Penunjuk Pine Scriptยฎ
oleh Julien_Eche
195
RSI Trend Transform [wbburgin]The RSI Trend Transform indicator is a dual-concept indicator that transforms volume data and price data into two different RSI values, which can then be used together to determine trend strength and momentum. The volume RSI does not use any price data in its calculation - it is purely a transform from nondirectional volume into a directional indicator. The RSI for all three RSI values (price, volume,combined average) can be plotted as either stochastic or normal. The RSI calculation is adapted for use on volume, which is why the normal ta.rsi() function is not used for the price RSI calculation; both use the same formula for indicator consistency. How to Use the Indicator In the examples below, the Price RSI is plotted in yellow and the Volume RSI is plotted in red (length = 200, which is why the indicator is large in these examples). The indicator can be used on any timeframe and any asset, provided volume data is provided by the vendor to TradingView. Identifying Bullish Trends A rising volume RSI with a rising price RSI signifies a bullish trend. Example 1: Example 2: You can use the combined RSI (the average of the volume RSI and the price RSI) to help with the identification of these trends: Identifying Bearish Trends A falling volume RSI with a falling price RSI signifies a bearish trend: Example 2: Settings Source is the source of the price RSI, the volume RSI will by default use volume in its calculations. If you have other indicators on-chart, you could even use the ATR, a volatility indicator, or any nondirectional or directional indicator and transform it into the "price" RSI. Length is both the length of the RSI and the stochastic. The next three rows are for each RSI you can plot on the indicator: price RSI, volume RSI, and combined RSI (average of price and volume). The first checkbox plots/removes them from the chart, you can subsequently choose the type of RSI (regular or stochastic), the color of the plot, and the length of the EMA smoothing applied afterward to the plot. Upper Band and Lower Band refer to the overbought and oversold lines, respectively. A note about the combined RSI- you will be unable to spot divergences if the combined RSI is the only plot on the indicator, so I encourage you to use the combined RSI as a way to confirm the overall trend if you notice the price RSI and the volume RSI and trending similarly.
Penunjuk Pine Scriptยฎ
oleh wbburgin
3
Sto RSI and kijun-sen line to determine and follow the trend This script uses 25-75 treshold of stochastic RSI with the help of kijun-sen as confirmation, to find entry points to any trend either newly developed or an established one. I just realized it on the 1 hour SPX chart. Sure it can be used on other symbols. Crossing above/below 25/75 line of sto RSI is considered as buy/sell signal. Signals are evaluated whether price be above/below kijun-sen line. If a sell signal below kijun-sen is generated it is a continuation signal for downtrend, otherwise it is a countertrend signal (maybe a signal for a new downtrend). A countertrend signal must be evaluated carefully and only accepted in the right side of kijun-sen. e.g entering a sell signal generated above kijun-sen should be accepted only below the kijun-sen, vice-versa.
Penunjuk Pine Scriptยฎ
oleh GurselKona
3
AlgoRanger Trend Matrix๐Ÿ“˜ AlgoRanger Trend Matrix Author: AlgoRanger ๐Ÿ” What It Does: AlgoRanger Trend Matrix is a multi-timeframe trend confirmation tool that combines higher and lower timeframe analysis into a clean, color-coded dashboard. It helps traders quickly identify trend alignment across different timeframes, improving decision-making for entries, exits, and overall market bias. It is designed to act as a visual filter to keep you trading in the direction of the dominant trend. ๐Ÿ› ๏ธ How It Works: Multi-Timeframe Trend Scanning: Calculates trend direction on several user-defined timeframes (e.g., 1h, 4h, 1D, 1W). Trend Criteria: Uses indicators like Moving Averages, Price Action, or custom logic to determine if the market is Bullish, Bearish, or Neutral. Color-Coded Matrix: ๐ŸŸข Green = Uptrend ๐Ÿ”ด Red = Downtrend โšช Gray/Neutral = Sideways or indecisive Visual Panel: Displays real-time trend direction for each timeframe in a compact matrix format. ๐Ÿ“ˆ How to Use It: Trend Confirmation: Only take trades in the direction where multiple timeframes show the same color (e.g., mostly green for buys). Filter Noise: Avoid trades when the matrix is mixed (green + red + gray), signaling indecision. Entry Timing: Wait for lower timeframes (like 5m/15m) to align with higher ones (e.g. 1H, 4H). This confirms momentum is syncing across levels. Exits: Consider taking partial profits or exiting when the matrix begins showing trend conflict (e.g., green turning red). Scalping to Swing: Scalpers use short-term trends (5m/15m). Swing traders focus on 1H to Daily. โœ… Best For: Day trading Swing trading Trend-following systems Traders needing quick visual confirmation of trend alignment โš™๏ธ Customizable Settings (if available): Timeframes to include (fully user-defined) Trend criteria logic (MA, RSI slope, etc.) Panel position and size Alert integration when trends flip ๐Ÿง  Pro Tip: Pair this with your entry strategy (e.g., Fibonacci Synthesis or price action) to filter out low-probability trades and stay on the right side of momentum.
Penunjuk Pine Scriptยฎ
oleh AlgoRanger_
Dual-Phase Trend Regime Oscillator (Zeiierman)โ–ˆ Overview Trend Regime: Dual-Phase Oscillator (Zeiierman) is a volatility-sensitive trend classification tool that dynamically switches between two oscillators, one optimized for low volatility, the other for high volatility. By analyzing standard deviation-based volatility states and applying correlation-derived oscillators, this indicator reveals not only whether the market is trending but also what kind of trend regime it is in โ€”Bullish or Bearish โ€”and how that regime reacts to market volatility. โ–ˆ Its Uniqueness Most trend indicators assume a static market environment; they don't adjust their logic when the underlying volatility shifts. That often leads to false signals in choppy conditions or late entries in trending phases. Trend Regime: Dual-Phase Oscillator solves this by introducing volatility-aware adaptability. It switches between a slow, stable oscillator in calm markets and a fast, reactive oscillator in volatile ones, ensuring the right sensitivity at the right time. โ–ˆ How It Works โšช Volatility State Engine Calculates returns-based volatility using standard deviation of price change Smooths the current volatility with a moving average Builds a volatility history window and performs median clustering to determine typical "Low" and "High" volatility zones Dynamically assigns the chart to one of two internal volatility regimes: Low or High โšช Dual Oscillators In Low Volatility, it uses a Slow Trend Oscillator (longer lookback, smoother) In High Volatility, it switches to a Fast Trend Oscillator (shorter lookback, responsive) Both oscillators use price-time correlation as a measure of directional strength The output is normalized between 0 and 1, allowing for consistent interpretation โšช Trend Regime Classification The active oscillator is compared to a neutral threshold (0.5) If above: Bullish Regime, if below: Bearish Regime, else: Neutral The background and markers update to reflect regime changes visually Triangle markers highlight bullish/bearish regime shifts โ–ˆ How to Use โšช Identify Current Trend Regime Use the background color and chart table to immediately recognize whether the market is trending up or down. โšช Trade Regime Shifts Use triangle markers (โ–ฒ / โ–ผ) to spot fresh regime entries, which are ideal for confirming breakouts within trends. โšช Pullback Trading Look for pullbacks when the trend is in a stable condition and the slow oscillator remains consistently near the upper or lower threshold. Watch for moments when the fast oscillator retraces back toward the midline, or slightly above/below it โ€” this often signals a potential pullback entry in the direction of the prevailing trend. โ–ˆ Settings Explained Length (Slow Trend Oscillator) โ€“ Used in calm conditions. Longer = smoother signals Length (Fast Trend Oscillator) โ€“ Used in volatile conditions. Shorter = more responsive Volatility Refit Interval โ€“ Controls how often the system recalculates Low/High volatility levels Current Volatility Period โ€“ Lookback used for immediate volatility measurement Volatility Smoothing Length โ€“ Applies an SMA to the raw volatility to reduce noise ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Penunjuk Pine Scriptยฎ
oleh Zeiierman
6
Trend Channel SwiftEdgeTrend Channel SwiftEdge The Trend Channel SwiftEdge is a powerful, visually striking tool designed to help traders identify trends and potential trade setups across multiple timeframes with a futuristic, tech-inspired design. This indicator combines a dynamic trend channel with a multi-timeframe trend dashboard and intelligent signal filtering to provide clear, actionable insights for both novice and experienced traders. Its unique neon-lit, holographic visuals give it a modern, cutting-edge feel, making your chart analysis both functional and visually engaging. What It Does This indicator identifies trends on your chart using a dynamic price channel and provides buy and sell signals based on trend alignments across multiple timeframes. It also features a dashboard that displays the trend direction (Up, Down, or Neutral) for six timeframes: 1-minute, 5-minute, 15-minute, 1-hour, 4-hour, and 1-day. The signals are filtered using a user-selected higher timeframe to ensure they align with broader market trends, reducing noise and improving trade reliability. How It Works The Trend Channel SwiftEdge operates in three key steps: Dynamic Trend Channel: A moving average (MA) is calculated based on your chosen type (SMA, EMA, or WMA) and length (default is 14 periods). This MA forms the backbone of the trend channel. The channelโ€™s upper and lower bounds are created by calculating the highest and lowest values of the MA over a period (default is 2x the MA length). These bounds help identify the trend: if the price is above the upper channel, the trend is Up; if below the lower channel, the trend is Down; otherwise, itโ€™s Neutral. The MA and channel lines are plotted with neon colors (green for Up, red for Down, blue for the channel bounds) to create a holographic effect, with a glowing background fill between the channels to highlight the trend direction. Multi-Timeframe Trend Dashboard: The indicator analyzes trends across six timeframes (1M, 5M, 15M, 1H, 4H, D1) using the same trend channel logic. A dashboard in the top-right corner displays each timeframeโ€™s trend direction with a futuristic design: neon green for Up, neon red for Down, and gray for Neutral, all set against a dark background with neon blue accents. Signal Generation with Higher Timeframe Filter: Buy and Sell signals are generated when the trend on the chartโ€™s timeframe (e.g., 1M) aligns with a user-selected higher timeframe (e.g., 15M). A Buy signal ("๐Ÿš€ SwiftEdge BUY") appears when the price crosses above the upper channel (indicating an Up trend) and the selected higher timeframeโ€™s trend also turns Up. If the higher timeframe is Neutral, the indicator checks even higher timeframes (e.g., 1H and 4H for a 15M filter) to confirm the trend direction. A Sell signal ("๐Ÿ›‘ SwiftEdge SELL") appears when the price crosses below the lower channel (indicating a Down trend) and the selected higher timeframeโ€™s trend turns Down, with the same higher timeframe check for Neutral cases. Signals are displayed as neon-colored labels with emojis for a futuristic touch, making them easy to spot. Why This Combination? The combination of a dynamic trend channel, multi-timeframe analysis, and signal filtering in Trend Channel SwiftEdge is designed to provide a comprehensive view of market trends while reducing false signals. The trend channel identifies the primary trend on your chart, while the multi-timeframe dashboard ensures youโ€™re aware of the broader market context. The signal filter leverages higher timeframes to confirm that your trades align with larger trends, which is particularly useful in volatile markets where smaller timeframes can be noisy. This synergy creates a balanced approach, blending short-term precision with long-term trend confirmation, all wrapped in a visually engaging tech-inspired design. How to Use It Add the Indicator: Apply Trend Channel SwiftEdge to your TradingView chart. Customize Settings: SwiftEdge Moving Average Type: Choose between SMA, EMA, or WMA (default is EMA) to adjust the trend channelโ€™s sensitivity. SwiftEdge MA Length: Set the period for the moving average (default is 14). SwiftEdge Signal Filter Timeframe: Select a higher timeframe (1M, 5M, 15M, 1H, 4H, D1) to filter signals (default is 15M). For example, on a 1M chart, selecting 15M ensures signals align with the 15-minute trend. Show SwiftEdge Ribbon: Toggle the visibility of the trend channelโ€™s moving average (default is true). Show SwiftEdge Background Glow: Toggle the glowing background fill between the channel bounds (default is true). Start/End Year: Set a time range for the indicatorโ€™s signals (default is 1900โ€“2100). Interpret the Dashboard: Check the top-right dashboard to see the trend direction across all timeframes. Use this to understand the broader market context. Trade with Signals: Look for "๐Ÿš€ SwiftEdge BUY" labels (neon green) below candles to enter long positions when the trend aligns across timeframes. Look for "๐Ÿ›‘ SwiftEdge SELL" labels (neon red) above candles to enter short positions or exit longs. Ensure the signal aligns with your trading strategy and risk management. What Makes It Original? Trend Channel SwiftEdge stands out with its futuristic, tech-inspired design and multi-timeframe synergy. Unlike traditional trend indicators, it combines a visually striking neon aesthetic with practical functionality, making trend analysis both intuitive and engaging. The signal filtering mechanism, which checks higher timeframes dynamically, ensures trades are backed by broader market trends, reducing the risk of false signals. The dashboard provides a quick, at-a-glance view of trends across multiple timeframes, empowering traders to make informed decisions without needing to switch charts. This blend of advanced trend analysis, intelligent signal filtering, and a high-tech visual theme makes it a unique tool for modern traders. Notes Best used on trending markets; in choppy conditions, consider using higher timeframes for signal filtering to reduce noise. Adjust the MA length and signal timeframe based on your trading style (shorter for scalping, longer for swing trading). Why This Description Complies with TradingView House Rules What It Does: Clearly explains that the script identifies trends using a dynamic channel, provides buy/sell signals, and displays a multi-timeframe dashboard. How It Does It: Breaks down the process into three steps: trend channel calculation, multi-timeframe analysis, and signal generation with higher timeframe filtering. Explains the logic (e.g., price crossing the channel, trend alignment across timeframes) in simple terms. How to Use It: Provides step-by-step instructions on adding the indicator, customizing settings, interpreting the dashboard, and trading with signals. What Makes It Original: Highlights the unique tech-inspired design, the combination of trend channel and multi-timeframe filtering, and the dynamic higher timeframe check. Justifies the Combination: Explains why the trend channel, multi-timeframe dashboard, and signal filtering are used together: to balance short-term precision with long-term trend confirmation, reducing false signals. Self-Contained: All concepts (trend channel, multi-timeframe analysis, signal filtering) are explained within the description without requiring external research. Avoids technical jargon that would confuse non-Pine readers, focusing on user-friendly language. This updated description with the new name "Trend Channel SwiftEdge" should fully comply with TradingViewโ€™s House Rules. If you need further adjustments, let me know!
Penunjuk Pine Scriptยฎ
oleh SwiftEdge
Johnny's Volatility-Driven Trend Identifier w/ Reversal SignalsJohnny's Volatility-Driven Trend Identifier w/ Reversal Signals is designed to identify high-probability trend shifts and reversals by incorporating volatility, momentum, and impulse-based filtering. It is specifically built for traders who want to capture strong trend movements while minimizing false signals caused by low volatility noise. By leveraging Rate of Change (ROC), Relative Strength Index (RSI), and Average True Range (ATR)-based volatility detection, the indicator dynamically adapts to market conditions. It highlights breakout trends, reversals, and early signs of momentum shifts using strategically placed labels and color-coded trend visualization. Inspiration taken from Top G indicator . What This Indicator Does The Volatility-Driven Trend Identifier works by: Measuring Market Extremes & Momentum: Uses ROC normalization with standard deviation to identify impulse moves in price action. Implements RSI filtering to determine overbought/oversold conditions that validate trend strength. Utilizes ATR-based volatility tracking to ensure signals only appear when meaningful market movements are occurring. Identifying Key Trend Events: Power Peak (๐Ÿ”ฅ): Marks a confirmed strong downtrend, ideal for shorting opportunities. Surge (๐Ÿš€): Indicates a confirmed strong uptrend, signaling a potential long entry. Soft Surge (โ†—): Highlights a mild bullish reentry or early uptrend formation. Soft Peak (โ†˜): Shows a mild bearish reentry or early downtrend formation. Providing Adaptive Filtering for Reliable Signals: Filters out weak trends with a volatility check, ensuring signals appear only in strong market conditions. Implements multi-level confirmation by combining trend strength metrics, preventing false breakouts. Uses gradient-based visualization to color-code market sentiment for quick interpretation. What This Indicator Signals Breakouts & Impulse Moves: ๐Ÿš€๐Ÿ”ฅ The Surge (๐Ÿš€) and Power Peak (๐Ÿ”ฅ) labels indicate confirmed momentum breakouts, where the trend has been validated by a combination of ROC impulse, RSI confirmation, and ATR volatility filtering. These signals suggest that the market is entering a strong trend, and traders can align their entries accordingly. Early Trend Formation & Reentries: โ†— โ†˜ The Soft Surge (โ†—) and Soft Peak (โ†˜) labels indicate areas where a trend might be forming, but is not yet fully confirmed. These signals help traders anticipate potential entries before the trend gains full strength. Volatility-Adaptive Trend Filtering: ๐Ÿ“Š Since the indicator only activates in volatile conditions, it avoids the pitfalls of low-range choppy markets where false signals frequently occur. ATR-driven adaptive windowing allows the indicator to dynamically adjust its sensitivity based on real-time volatility conditions. How to Use This Indicator 1. Identifying High-Probability Entries Bullish Entries (Long Trades) Look for ๐Ÿš€ Surge signals in an uptrend. Confirm with RSI (should be above 50 for momentum). Ensure volatility is increasing to validate the breakout. Use โ†— Soft Surge signals for early entries before the trend fully confirms. Bearish Entries (Short Trades) Look for ๐Ÿ”ฅ Power Peak signals in a downtrend. RSI should be below 50, indicating downward momentum. Volatility should be rising, ensuring market momentum is strong. Use โ†˜ Soft Peak signals for early entries before a full bearish confirmation. 2. Avoiding False Signals Ignore signals when the market is ranging (low ATR). Check RSI and ROC alignment to ensure trend confirmation. Use additional confluences (e.g., price action, support/resistance levels, moving averages) for enhanced accuracy. 3. Trend Confirmation & Filtering The stronger the trend, the higher the likelihood that Surge (๐Ÿš€) and Power Peak (๐Ÿ”ฅ) signals will continue in their direction. Soft Surge (โ†—) and Soft Peak (โ†˜) act as early warning signals before major breakouts occur. What Makes This a Machine Learning-Inspired Moving Average? While this indicator is not a direct implementation of machine learning (as Pine Script lacks AI/ML capabilities), it mimics machine learning principles by adapting dynamically to market conditions using the following techniques: Adaptive Trend Selection: It does not rely on fixed moving averages but instead adapts dynamically based on volatility expansion and momentum detection. ATR-based filtering adjusts the indicatorโ€™s sensitivity to real-time conditions. Multi-Factor Confirmation (Feature Engineering Equivalent in ML): Combines ROC, RSI, and ATR in a structured way, similar to how ML models use multiple inputs to filter and classify data. Implements conditional trend recognition, ensuring that only valid signals pass through the filter. Noise Reduction with Data Smoothing: The algorithm avoids false signals by incorporating trend intensity thresholds, much like how ML models remove outliers to refine predictions. Adaptive filtering ensures that low-volatility environments do not produce misleading signals. Why Use This Indicator? โœ” Reduces False Signals: Multi-factor validation ensures only high-confidence signals are triggered. โœ” Works in All Market Conditions: Volatility-adaptive nature allows the indicator to perform well in both trending and ranging markets. โœ” Great for Swing & Intraday Trading: It helps spot momentum shifts early and allows traders to catch major market moves before they fully develop. โœ” Visually Intuitive: Color-coded trends and clear signal markers make it easy to interpret.
Penunjuk Pine Scriptยฎ
oleh JonathanLeyva
6
Johnny's Machine Learning Moving Average (MLMA) w/ Trend Alerts๐Ÿ“– Overview Johnny's Machine Learning Moving Average (MLMA) w/ Trend Alerts is a powerful adaptive moving average indicator designed to capture market trends dynamically. Unlike traditional moving averages (e.g., SMA, EMA, WMA), this indicator incorporates volatility-based trend detection, Bollinger Bands, ADX, and RSI, offering a comprehensive view of market conditions. The MLMA is "machine learning-inspired" because it adapts dynamically to market conditions using ATR-based windowing and integrates multiple trend strength indicators (ADX, RSI, and volatility bands) to provide an intelligent moving average calculation that learns from recent price action rather than being static. ๐Ÿ›  How It Works 1๏ธโƒฃ Adaptive Moving Average Selection The MLMA automatically selects one of four different moving averages: ๐Ÿ“Š EMA (Exponential Moving Average) โ€“ Reacts quickly to price changes. ๐Ÿ”ต HMA (Hull Moving Average) โ€“ Smooth and fast, reducing lag. ๐ŸŸก WMA (Weighted Moving Average) โ€“ Gives recent prices more importance. ๐Ÿ”ด VWAP (Volume Weighted Average Price) โ€“ Accounts for volume impact. The user can select which moving average type to use, making the indicator customizable based on their strategy. 2๏ธโƒฃ Dynamic Trend Detection ATR-Based Adaptive Window ๐Ÿ“ The Average True Range (ATR) determines the window size dynamically. When volatility is high, the moving average window expands, making the MLMA more stable. When volatility is low, the window shrinks, making the MLMA more responsive. Trend Strength Filters ๐Ÿ“Š ADX (Average Directional Index) > 25 โ†’ Indicates a strong trend. RSI (Relative Strength Index) > 70 or < 30 โ†’ Identifies overbought/oversold conditions. Price Position Relative to Upper/Lower Bands โ†’ Determines bullish vs. bearish momentum. 3๏ธโƒฃ Volatility Bands & Dynamic Support/Resistance Bollinger Bands (BB) ๐Ÿ“‰ Uses standard deviation-based bands around the MLMA to detect overbought and oversold zones. Upper Band = Resistance, Lower Band = Support. Helps traders identify breakout potential. Adaptive Trend Bands ๐Ÿ”ต๐Ÿ”ด The MLMA has built-in trend envelopes. When price breaks the upper band, bullish momentum is confirmed. When price breaks the lower band, bearish momentum is confirmed. 4๏ธโƒฃ Visual Enhancements Dynamic Gradient Fills ๐ŸŒˆ The trend strength (ADX-based) determines the gradient intensity. Stronger trends = More vivid colors. Weaker trends = Lighter colors. Trend Reversal Arrows ๐Ÿ”„ ๐Ÿ”ผ Green Up Arrow: Bullish reversal signal. ๐Ÿ”ฝ Red Down Arrow: Bearish reversal signal. Trend Table Overlay ๐Ÿ–ฅ Displays ADX, RSI, and Trend State dynamically on the chart. ๐Ÿ“ข Trading Signals & How to Use It 1๏ธโƒฃ Bullish Signals ๐Ÿ“ˆ โœ… Conditions for a Long (Buy) Trade: The MLMA crosses above the lower band. The ADX is above 25 (confirming trend strength). RSI is above 55, indicating positive momentum. Green trend reversal arrow appears (confirmation of a bullish reversal). ๐Ÿ”น How to Trade It: Enter a long trade when the MLMA turns bullish. Set stop-loss below the lower Bollinger Band. Target previous resistance levels or use the upper band as take-profit. 2๏ธโƒฃ Bearish Signals ๐Ÿ“‰ โœ… Conditions for a Short (Sell) Trade: The MLMA crosses below the upper band. The ADX is above 25 (confirming trend strength). RSI is below 45, indicating bearish pressure. Red trend reversal arrow appears (confirmation of a bearish reversal). ๐Ÿ”น How to Trade It: Enter a short trade when the MLMA turns bearish. Set stop-loss above the upper Bollinger Band. Target the lower band as take-profit. ๐Ÿ’ก What Makes This a Machine Learning Moving Average? ๐Ÿ“ 1๏ธโƒฃ Adaptive & Self-Tuning Unlike static moving averages that rely on fixed parameters, this MLMA automatically adjusts its sensitivity to market conditions using: ATR-based dynamic windowing ๐Ÿ“ (Expands/contracts based on volatility). Adaptive smoothing using EMA, HMA, WMA, or VWAP ๐Ÿ“Š. Multi-indicator confirmation (ADX, RSI, Volatility Bands) ๐Ÿ†. ๐Ÿ“ 2๏ธโƒฃ Intelligent Trend Confirmation The MLMA "learns" from recent price movements instead of blindly following a fixed-length average. It incorporates ADX & RSI trend filtering to reduce noise & false signals. ๐Ÿ“ 3๏ธโƒฃ Dynamic Color-Coding for Trend Strength Strong trends trigger more vivid colors, mimicking confidence levels in machine learning models. Weaker trends appear faded, suggesting uncertainty. ๐ŸŽฏ Why Use the MLMA? โœ… Pros โœ” Combines multiple trend indicators (MA, ADX, RSI, BB). โœ” Automatically adjusts to market conditions. โœ” Filters out weak trends, making it more reliable. โœ” Visually intuitive (gradient colors & reversal arrows). โœ” Works across all timeframes and assets. โš ๏ธ Cons โŒ Not a standalone strategy โ†’ Best used with volume confirmation or candlestick analysis. โŒ Can lag slightly in fast-moving markets (due to smoothing).
Penunjuk Pine Scriptยฎ
oleh JonathanLeyva
1