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Auto AI Trendlines [TradingFinder] Clustering & Filtering Trends🔵 Introduction Auto AI trendlines Clustering & Filtering Trends Indicator, draws a variety of trendlines. This auto plotting trendline indicator plots precise trendlines and regression lines, capturing trend dynamics. Trendline trading is the strongest strategy in the financial market. Regression lines, unlike trendlines, use statistical fitting to smooth price data, revealing trend slopes. Trendlines connect confirmed pivots, ensuring structural accuracy. Regression lines adapt dynamically. The indicator’s ascending trendlines mark bullish pivots, while descending ones signal bearish trends. Regression lines extend in steps, reflecting momentum shifts. As the trend is your friend, this tool aligns traders with market flow. Pivot-based trendlines remain fixed once confirmed, offering reliable support and resistance zones. Regression lines, adjusting to price changes, highlight short-term trend paths. Both are vital for traders across asset classes. 🔵 How to Use There are four line types that are seen in the image below; Precise uptrend (green) and downtrend (red) lines connect exact price extremes, while Pivot-based uptrend and downtrend lines use significant swing points, both remaining static once formed. 🟣 Precise Trendlines Trendlines only form after pivot points are confirmed, ensuring reliability. This reduces false signals in choppy markets. Regression lines complement with real-time updates. The indicator always draws two precise trendlines on confirmed pivot points, one ascending and one descending. These are colored distinctly to mark bullish and bearish trends. They remain fixed, serving as structural anchors. 🟣 Dynamic Regression Lines Regression lines, adjusting dynamically with price, reflect the latest trend slope for real-time analysis. Use these to identify trend direction and potential reversals. Regression lines, updated dynamically, reflect real-time price trends and extend in steps. Ascending lines are green, descending ones orange, with shades differing from trendlines. This aids visual distinction. 🟣 Bearish Chart A Bullish State emerges when uptrend lines outweigh or match downtrend lines, with recent upward momentum signaling a potential rise. Check the trend count in the state table to confirm, using it to plan long positions. 🟣 Bullish Chart A Bearish State is indicated when downtrend lines dominate or equal uptrend lines, with recent downward moves suggesting a potential drop. Review the state table’s trend count to verify, guiding short position entries. The indicator reflects this shift for strategic planning. 🟣 Alarm Set alerts for state changes to stay informed of Bullish or Bearish shifts without constant monitoring. For example, a transition to Bullish State may signal a buying opportunity. Toggle alerts On or Off in the settings. 🟣 Market Status A table summarizes the chart’s status, showing counts of ascending and descending lines. This real-time overview simplifies trend monitoring. Check it to assess market bias instantly. Monitor the table to track line counts and trend dominance. A higher count of ascending lines suggests bullish bias. This helps traders align with the prevailing trend. 🔵 Settings Number of Trendlines : Sets total lines (max 10, min 3), balancing chart clarity and trend coverage. Max Look Back : Defines historical bars (min 50) for pivot detection, ensuring robust trendlines. Pivot Range : Sets pivot sensitivity (min 2), adjusting trendline precision to market volatility. Show Table Checkbox : Toggles display of a table showing ascending/descending line counts. Alarm : Enable or Disable the alert. 🔵 Conclusion The multi slopes indicator, blending pivot-based trendlines and dynamic regression lines, maps market trends with precision. Its dual approach captures both structural and short-term momentum. Customizable settings, like trendline count and pivot range, adapt to diverse trading styles. The real-time table simplifies trend monitoring, enhancing efficiency. It suits forex, stocks, and crypto markets. While trendlines anchor long-term trends, regression lines track intraday shifts, offering versatility. Contextual analysis, like price action, boosts signal reliability. This indicator empowers data-driven trading decisions.
Penunjuk Pine Script®
oleh TFlab
2
Tetra Trendline Indicator 2.0This script is designed to help traders visualize and identify potential overbought and oversold conditions in a financial instrument's price chart using four customizable trendlines. It also provides the option to set alerts for these conditions. Users can adjust the input parameters to tailor the indicator's behavior to their trading preferences. Input Parameters: The script allows users to configure various input parameters to customize the behavior of the indicator. These parameters include: showTrendlineX: Boolean inputs to control whether to show each of the four trendlines (Trendline 1, Trendline 2, Trendline 3, and Trendline 4). trendlineColorX: Color inputs to specify the color of each trendline. trendlineWidthX: Numeric inputs to set the width of each trendline. trendlineLengthX: Numeric inputs to determine the length of each trendline. alertOnTrendlineXBreak: Boolean inputs to enable or disable alerts for each trendline when they are breached. Trendline Calculations: The script calculates the coordinates for each of the four trendlines. It does this by identifying the starting and ending points of each trendline based on user-defined parameters and the highest or lowest price levels within a specified length. Plotting Trendlines: The script uses the plot function to display the calculated trendlines on the price chart. It also fills the area between the trendlines to visually emphasize the region. Alert Conditions: The script defines alert conditions for each trendline. Alerts are triggered when certain price conditions are met: Trendline 1: An alert is triggered when the price crosses above the Trendline 1 (indicating overbought conditions). Trendline 2: An alert is triggered when the price crosses below the Trendline 2 (indicating oversold conditions). Trendline 3: Similar to Trendline 1, an alert is triggered when the price crosses above Trendline 3 (overbought). Trendline 4: Similar to Trendline 2, an alert is triggered when the price crosses below Trendline 4 (oversold).
Penunjuk Pine Script®
oleh egghen
4
Traders Trend DashboardThe Traders Trend Dashboard (TTD) is a comprehensive trend analysis tool designed to assist traders in making informed trading decisions across various markets and timeframes. Unlike conventional trend-following scripts, TTD goes beyond simple trend detection by incorporating a unique combination of moving averages and a visual dashboard, providing traders with a clear and actionable overview of market trends. Here's how TTD stands out from the crowd: Originality and Uniqueness: TTD doesn't rely on just one moving average crossover to detect trends. Instead, it employs a dynamic approach by comparing two moving averages of distinct periods across multiple timeframes. This innovative methodology enhances trend detection accuracy and reduces false signals commonly associated with single moving average systems. Market Applicability: TTD is versatile and adaptable to various financial markets, including forex, stocks, cryptocurrencies, and commodities. Its flexibility ensures that traders can utilize it across different asset classes and capitalize on market opportunities. Optimal Timeframe Utilization: Unlike many trend indicators that work best on specific timeframes, TTD caters to traders with diverse trading preferences. It offers support for intraday trading (1m, 3m, 5m), short-term trading (15m, 30m, 1h), and swing trading (4h, D, W, M), making it suitable for a wide range of trading styles. Underlying Conditions and Interpretation: TTD is particularly effective during trending markets, where its multi-timeframe approach helps identify consistent trends across various time horizons. In ranging markets, TTD can indicate potential reversals or areas of uncertainty when moving averages converge or cross frequently. How to Use TTD: 1. Timeframe Selection: Choose the relevant timeframes based on your trading style and preferences. Enable or disable timeframes in the settings to focus on the most relevant ones for your strategy. 2. Dashboard Interpretation: The TTD dashboard displays green (🟢) and red (🔴) symbols to indicate the relationship between two moving averages. A green symbol suggests that the shorter moving average is above the longer one, indicating a potential bullish trend. A red symbol suggests the opposite, indicating a potential bearish trend. 3. Confirmation and Strategy: Consider TTD signals as confirmation for your trading strategy. For instance, in an uptrend, look for long opportunities when the dashboard displays consistent green symbols. Conversely, in a downtrend, focus on short opportunities when red symbols dominate. 4. Risk Management: As with any indicator, use TTD in conjunction with proper risk management techniques. Avoid trading solely based on indicator signals; instead, integrate them into a comprehensive trading plan. Conclusion: The Traders Trend Dashboard (TTD) offers traders a powerful edge in trend analysis, combining innovation, versatility, and clarity. By understanding its unique methodology and integrating its signals with your trading strategy, you can make more informed trading decisions across various markets and timeframes. Elevate your trading with TTD and unlock a new level of trend analysis precision.
Penunjuk Pine Script®
oleh AlexFuch
115
Curved Trend Channels (Zeiierman)█ Overview Curved Trend Channels (Zeiierman) is a next-generation trend visualization tool engineered to adapt dynamically to both linear and non-linear market behavior. It introduces a novel curvature-based channeling system that grows over time during trending conditions, mirroring the natural acceleration of price trends, while simultaneously leveraging adaptive range filtering and dual-layer candle trend logic. This tool is ideal for traders seeking smooth yet reactive dynamic channels that evolve with market structure. Whether used in curved mode or traditional slope mode, it provides exceptional clarity on trend transitions, volatility compression, and breakout development. █ How It Works ⚪ Adaptive Range Filter Foundation The core of the system is a volatility-based range filter that determines the underlying structure of the bands: Pre-Smoothing of High/Low Data – Highs and lows are smoothed using a selectable moving average (SMA, EMA, HMA, KAMA, etc.) before calculating the volatility range. Volatility Envelope – The range is scaled using a fixed factor (2.618) and further adjusted by a Band Multiplier to form the primary envelope around price. Smoothed Volatility Curve – Final bands are stabilized using a long lookback, ensuring clean visual structure and trend clarity. ⚪ Curved Channel Logic In Curved Mode, the trend channel grows over time when the trend direction remains unchanged: Base Step Size (× ATR) – Sets the minimum unit of slope change. Growth per Bar (× ATR) – Defines the acceleration rate of the channel slope with time. Trend Persistence Recognition – The longer a trend persists, the more pronounced the slope becomes, mimicking real market accelerations. This dynamic, time-dependent logic enables the channel to "curve" upward or downward, tracking long-standing trends with increasing confidence. ⚪ Trend Slope As an alternative to curved logic, traders can activate a regular Trend slope using: Slope Length – Determines how quickly the trend line adapts to price shifts. Multiplicative Factor – Amplifies the sensitivity of the slope, useful in fast-moving markets or lower timeframes. ⚪ Candle Trend Confirmation A robust second-layer trend detection method, the Candle Trend System evaluates directional pressure by analyzing smoothed price action: Multi-tier Smoothing – Trend lines are derived from short-, medium-, and long-term candle movement. █ How to Use ⚪ Trend Identification When the Trend Line direction and Candle Colors are in agreement, this indicates strong, persistent directional conviction. Use these moments to enter with trend confirmation and manage risk more confidently. ⚪ Retest During ongoing trends, the price will often pull back into the dynamic channel. Look for: Support/resistance interactions at the upper or lower bands. █ Settings Scaled Volatility Length – Controls the historical depth used to stabilize the volatility bands. Smoothing Type – Choose from HMA, KAMA, VIDYA, FRAMA, Super Smoother, etc. to match your asset and trading style. Volatility MA Length – Smoothing length for the calculated range; shorter = more reactive. High/Low Smoother Length – Additional smoothing to reduce noise from spikes or false pivots. Band Multiplier – Widens or tightens the band range based on personal preference. Enable Curved Channel – Toggle between curved or regular trend slope behavior. Base Step (× ATR) – The starting point for curved slope progression. Growth per Bar (× ATR) – How much the slope accelerates per bar during a sustained trend. Slope – Reactivity of the standard trend line to price movements. Multiplicative Factor – Sensitivity adjustment for HyperTrend slope. Candle Trend Length – Lookback period for trend determination from candle structure. ----------------- 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 Script®
oleh Zeiierman
9
Exponential Trend [AlgoAlpha]OVERVIEW This script plots an adaptive exponential trend system that initiates from a dynamic anchor and accelerates based on time and direction. Unlike standard moving averages or trailing stops, the trend line here doesn't follow price directly—it expands exponentially from a pivot determined by a modified Supertrend logic. The result is a non-linear trend curve that starts at a specific price level and accelerates outward, allowing traders to visually assess trend strength, persistence, and early-stage reversal points through both base and volatility-adjusted extensions. CONCEPTS This indicator builds on the idea that trend-following tools often need dynamic, non-static expansion to reflect real market behavior. It uses a simplified Supertrend mechanism to define directional context and anchor levels, then applies an exponential growth function to simulate trend acceleration over time. The exponential growth is unidirectional and resets only when the direction flips, preserving trend memory. This method helps avoid whipsaws and adds time-weighted confirmation to trends. A volatility buffer—derived from ATR and modifiable by a width multiplier—adds a second layer to indicate zones of risk around the main trend path. FEATURES Exponential Trend Logic : Once a directional anchor is set, the base trend line accelerates using an exponential formula tied to elapsed bars, making the trend stronger the longer it persists. Volatility-Adjusted Extension : A secondary band is plotted above or below the base trend line, widened by ATR to visualize volatility zones, act as soft stop regions or as a better entry point (Dynamic Support/Resistance). Color-Coded Visualization : Clear green/red base and extension lines with shaded fills indicate trend direction and confidence levels. Signal Markers & Alerts : Triangle markers indicate confirmed trend reversals. Built-in alerts notify users of bullish or bearish direction changes in real-time. USAGE Use this script to identify strong trends early, visually measure their momentum over time, and determine safe areas for entries or exits. Start by adjusting the *Exponential Rate* to control how quickly the trend expands—the higher the rate, the more aggressive the curve. The *Initial Distance* sets how far the anchor band is placed from price initially, helping filter out noise. Increase the *Width Multiplier* to widen the volatility zone for more conservative entries or exits. When the price crosses above or below the base line, a new trend is assumed and the exponential projection restarts from the new anchor. The base trend and its extension both shift over time, but only reset on a confirmed reversal. This makes the tool especially useful for momentum continuation setups or trailing stop logic in trending markets.
Penunjuk Pine Script®
oleh AlgoAlpha
6
[GrandAlgo] ATR Trend MatrixThe ATR Trend Matrix is a dynamic trendline indicator designed to help traders visualize market structure using ATR-based trend projections. This tool adapts to price action and highlights potential support and resistance zones based on Average True Range (ATR) calculations. Key Features ATR-Based Trendlines – Calculates and plots dynamic trendlines using an adjustable ATR factor. Multi-Level Matrix System – Provides up to four matrix levels, each customizable with different ATR multipliers. Swing High & Low Detection – Automatically detects market pivots to serve as anchor points for trendlines. Adjustable Trend Length – Fine-tune the sensitivity of trendlines using the Swing Length and Trend-Line Length Multiplier. Auto-Adjustment Mode – When enabled, trendlines update dynamically as ATR evolves. Buy & Sell Signals – Marks potential trade setups when price crosses below or above Matrix Level 1. How It Works Detects Swing Points – Identifies key highs and lows in the market using the length setting. Plots ATR-Based Trendlines – Calculates trendlines using ATR with user-defined multipliers for four matrix levels. Adjusts Dynamically – If Auto Adjust is enabled, trendlines shift with ATR movements. Identifies Trade Signals – Highlights potential buy/sell zones when price interacts with Matrix Level 1 trendlines. Manages Active Trendlines – Automatically updates and removes trendlines based on price interaction. User Settings General Settings ATR Factor – Controls the ATR multiplier for trendline calculation. Swing Length – Defines the number of bars for swing high/low detection. Trend-Line Length Multiplier – Adjusts the extension length of trendlines. Auto Adjust Trendlines – Enables real-time adjustment of trendlines as ATR changes. Matrix Settings Matrix Level 1-4 – Enable or disable individual trendline levels. Matrix Factors – Customize the ATR multipliers for each matrix level. Trading Applications Trend Confirmation – Use the primary trendline and matrix levels to gauge trend strength. Support & Resistance Zones – ATR-based trendlines can act as dynamic support/resistance. Breakout & Rejection Signals – Identify potential breakouts or reversals when price interacts with matrix levels. Volatility-Based Trading – ATR helps adjust trendlines based on market volatility. The ATR Trend Matrix is a powerful tool for traders who want a dynamic, adaptive trendline system that reacts to market structure and volatility. With customizable settings, multi-level ATR projections, and trade signal detection, this indicator provides a comprehensive approach to price action analysis.
Penunjuk Pine Script®
oleh GrandAlgo
Auto-Length Moving Average + Trend Signals (Zeiierman)█ 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. █ How It Works ⚪ 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. ⚪ 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. ⚪ 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. █ How to Use ⚪ 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. ⚪ 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. █ Slope-Based Reset This mode resets the trend counter when the moving average slope changes direction. ⚪ 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. █ RSI-Based Reset The counter resets when the Relative Strength Index (RSI) crosses predefined overbought or oversold levels. ⚪ 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. █ Volume-Based Reset A reset occurs when current volume significantly exceeds its moving average, signaling a shift in market participation. ⚪ 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. █ Bollinger Band-Based Reset A reset occurs when price closes above the upper Bollinger Band or below the lower Bollinger Band, signaling potential overextension. ⚪ 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. █ MACD-Based Reset A reset occurs when the MACD line crosses the signal line, indicating a momentum shift. ⚪ 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. █ Stochastic-Based Reset A reset occurs when Stochastic %K crosses overbought or oversold levels. ⚪ 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. █ 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. ⚪ Interpretation & Insights Best for cycle traders who aim to identify overextended price deviations in trending or ranging markets. Higher CCI threshold (e.g., ±200): Detects extreme overbought/oversold conditions before reversals. Lower CCI threshold (e.g., ±10): 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. █ Momentum-Based Reset A reset occurs when Momentum (Rate of Change) crosses zero, indicating a potential shift in price direction. ⚪ 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. █ 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. ⚪ 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. ⚪ 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 → Indicates a high-confidence trend. Trend Strength of 50 → Suggests weak price action, possibly a choppy market. ⚪ 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 → 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. ⚪ 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 → Indicates that the current trend is significantly stronger than the historical average, meaning a breakout might be occurring. Average Trend Score of 700+ → Suggests a strong trending market overall. █ Settings ⚪ Dynamic MA Controls Base MA Length – Sets the starting length of the moving average before dynamic adjustments. Max Dynamic Length – Defines the upper limit for how much the moving average can expand. Trend Confirmation Length – The number of bars required to validate an uptrend or downtrend. ⚪ Reset & Adaptive Conditions Reset Condition Type – Choose what triggers the moving average reset (Slope, RSI, Volume, MACD, etc.). Trend Smoothing Factor – 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 Script®
oleh Zeiierman
44
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. 🔵 KEY FEATURES ● 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. ● 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. ● 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. ● 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. ● 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. 🔵 HOW TO USE ● 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. ● 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. ● 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. ● 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. 🔵 USER INPUTS ● 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. ● 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. ● Volatility Bands Toggle the display of upper and lower volatility bands. These bands help identify potential areas of price exhaustion or continuation. ● 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. ● Mean Reversion Signals Toggle the display of mean reversion signals. These signals highlight potential reversal points when the price deviates significantly from the trend. ● Strong Mean Reversion Signals Toggle the display of stronger mean reversion signals, which occur at more extreme deviations from the trend. ● Width Adjust the thickness of the trend line for better visibility on the chart. 🔵 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 Script®
oleh BigBeluga
2
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 Script®
oleh Julien_Eche
9
Linear Regression Channel [TradingFinder] Existing Trend Line🔵 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. 🔵 How to Use 🟣 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. 🟣 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. 🟣 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. 🟣 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. 🔵 Settings 🟣 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. 🟣 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. 🟣 Scaling Type Standard Deviation : Suitable for markets with stable volatility. ATR (Average True Range) : Ideal for markets with higher volatility. 🟣 Scaling Coefficients Larger coefficients create broader channels for broader trend analysis. Smaller coefficients produce tighter channels for precision analysis. 🟣 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. 🔵 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 Script®
oleh TFlab
6
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 Script®
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 Script®
oleh nathanfarmer