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스크립트에서 "trend"에 대해 찾기

BX-Volume Trend and OscillatorBX-Volume Trend and Oscillator (VTO) This is my second indicator. I created this indicator for myself. I was inspired by the indicators created by Bjorgum, Duyck and QuantTherapy and decided to create multiple indicators that either work well combined with their indicators or something new that applies some of their indicator concepts. I decided to share this because I believe in learning and earing together as a community. I will later share the rest of the indicators I have created. If you guys have any questions or suggestions write them. The BX-Volume Trend and Oscillator (VTO) is a comprehensive trading indicator designed to help traders identify trends, momentum shifts, and potential reversals by analyzing volume and price action through various metrics. This indicator combines relative volume analysis with custom Xtrender oscillators and moving averages to provide valuable insights into market behavior. Image: BX-Volume Trend and Oscillator (VTO) Features: Relative Volume Analysis: Measures the current volume relative to the average volume over a specified period, helping traders understand if the current trading activity is unusually high or low. Short-Term Xtrender Oscillator: This oscillator analyzes the difference between two short-term Exponential Moving Averages (EMAs) and smooths it with a custom RSI, highlighting short-term trends and potential reversal points. Long-Term Xtrender Oscillator: Similar to the short-term oscillator but uses longer-term EMAs and RSI for identifying more sustained trends and shifts. T3 Moving Average: A smoothed version of the Xtrender oscillator that helps in detecting trend changes more clearly. Volume Trend Plot: Shows the smoothed relative volume to understand how trading activity aligns with the trend. Visual Indicators: Uses colors and shapes to highlight significant changes and trends, such as circles to mark potential reversal points. How to Use the Indicator Analyze Relative Volume: Relative Volume Plot: The smoothed relative volume is displayed in white, helping you assess if current trading volumes are above or below the historical average. High Relative Volume: Indicates strong trading interest, which could support or contradict the prevailing trend. Image above: is set to daily timeframe Monitor Short-Term Xtrender Oscillator Short-Term Xtrender: Plotted as a column histogram with colors changing from green to red based on the oscillator's movement and momentum. Green and lime colors indicate bullish trends, while maroon and red suggest bearish conditions. Smoothed Short-Term Xtrender (T3): Plotted as a line that adjusts color based on the short-term Xtrender's trend. The line changes color to match the histogram's color, providing a clearer view of momentum shifts. Reversal Markers: Small circles indicate potential short-term trend reversals, where changes in the T3 moving average suggest shifts in momentum. Assess Long-Term Xtrender Oscillator: Long-Term Xtrender: Plotted as a histogram, with color changes similar to the short-term Xtrender. It shows longer-term trends and shifts. Color Indicators: Lime and green colors suggest an uptrend, while red and maroon indicate a downtrend. Look for Zero Line Crossings: The zero line serves as a reference point. Crossings above the zero line may indicate bullish trends, while crossings below may signal bearish trends. Image above: is set to daily timeframe, and it showcases the Short-Term Xtrender (T3) applied. Image above: is set to 8hr timeframe: Using the lower timeframe you can spot better details of pullbacks and potential reversals. Example of Use: Identify Trend and Momentum: Use the combination of the short-term and long-term Xtrender oscillators to gauge the prevailing market trend. For instance, if both oscillators are above zero and showing upward momentum, it suggests a strong bullish trend. Spot Reversals: Observe the short-term Xtrender and its smoothed T3 version. If the T3 line changes direction and crosses through previous peaks and troughs, it could signal a potential reversal. Volume Confirmation: Check the relative volume and its smoothed version to confirm the strength of price movements. Significant changes in volume can validate the trends indicated by the Xtrender oscillators. By combining these elements, the BX-Volume Trend and Oscillator (VTO) provides a holistic view of market dynamics, helping traders make more informed decisions based on trend strength, potential reversals, and volume activity. Lastly, my Scripts/Indicators/Ideas /Systems that I share are only for educational purposes!
Pine Script® 인디케이터
Debis03의
8
Trend Momentum Strength Indicator, Built for Pairs TradingOverview: This script combines multiple indicators to provide a comprehensive analysis of both trend strength and trend momentum. It is tailored specifically for pairs trading strategies but can also be used for other trading strategies. Benefit of Comprehensive Analysis: Having an indicator that evaluates both trend strength and trend momentum is crucial for traders looking to make informed decisions. It allows traders to not only identify the direction and intensity of a trend but also gauge the momentum behind it. This dual capability helps in confirming potential trade opportunities, whether for entering trades with strong trends or considering reversals during overbought or oversold conditions. By integrating both aspects into one tool, traders can gain a holistic view of market dynamics, enhancing their ability to time entries and manage risk effectively. Features: * Trend Strength: Enhanced ADX Formula: The script includes modifications to the standard ADX formula along with DI+ and DI- to provide more responsive trend strength readings. Directional Indicators: DI+ (green line) indicates positive directional movement, while DI- (red line) indicates negative directional movement. Trend Momentum: Modified Stochastic Indicators: The script uses %K and %D indicators, modified and combined with ADX to give a clear indication of trend momentum. Momentum Strength: This helps determine the strength and direction of the momentum. Trading Signals: Combining Indicators: The script combines ADX, DI+, DI-, %K, and %D to generate comprehensive trading signals. Optimal Entry Points: Designed to identify optimal entry points for trades, particularly in pairs trading. Colored Area at Bottom: This area provides two easy-to-read functions: Color: Green: Upward momentum (ratio above 1) Red: Downward momentum (ratio below 1) Height: Higher in green: Stronger upward momentum Lower in red: Stronger downward momentum Legend: Green Line: DI+ (Positive) Red Line: DI- (Negative) Black Line: ADX How to Read This Indicator: 1) Trend Direction: DI+ above DI-: Indicates an upward trend. DI- above DI+: Indicates a downward trend. 2) Trend Strength: ADX below 20: Indicates a neutral trend. ADX between 20 and 25: Indicates a weak trend. ADX above 25: Indicates a strong trend. Trading Signals in Pairs Trading: Neutral Trend: Ideal for pairs trading when no strong trend is detected. Overbought/Oversold: Uses %K and %D to identify overbought/oversold conditions that support trade decisions. Entry Signals: Green signals for long positions, red signals for short positions, based on combined criteria of neutral trend strength and supportive momentum. Application in Pairs Trading: Neutral trend: In pairs trading strategies, where neutral movement is often sought, this indicator provides signals that are especially relevant during periods of neutral trend strength and supportive momentum, aiding traders in identifying optimal entry Risk Management: Combining signals from ADX, DI+, DI-, %K, and %D helps traders make more informed decisions regarding entry points, enhancing risk management. Example Chart (The indicator is on the upper right corner): Clean Presentation: The chart only includes the necessary elements to demonstrate the indicator’s functionality. Demonstrates: Overbought/oversold conditions, upward/downward/no momentum, and trading signals with/without specific scenarios.
Pine Script® 인디케이터
YoavShachak의
4
Trend Continuation Signals [AlgoAlpha]Introducing the Trend Continuation Signals by AlgoAlpha 🌟🚀 Elevate your trading game with this multipurpose indicator, designed to pinpoint trend continuation opportunities as well as highlight volatility and oversold/overbought conditions. Whether you're a trading novice or a seasoned market veteran, this tool offers intuitive visual cues to boost your decision-making and enhance your market analysis. Let's explore the key features, how to use it effectively, and delve into the operational mechanics that make this tool a game-changer in your trading arsenal: Key Features: 🔥 Advanced Trend Detection : Leverages the Hull Moving Average (HMA) for superior trend tracking as compared to other MAs, offering unique insights into market momentum. 🌈 Volatility Bands : Implements adjustable bands around the trend line, which evolve with market conditions to highlight potential trading opportunities. ⚡ Trend Continuation Signals : Identifies bullish and bearish continuation signals, equipping you with actionable signals to exploit the prevailing market trend. 🎨 Intuitive Color Coding : Employs a vibrant color scheme to distinguish between uptrends, downtrends, and neutral phases, facilitating easy interpretation of the indicator's insights. 🛠 How to Use "Trend Continuation Signals ": 🔍 Setting Up : Incorporate the indicator onto your chart and customize the indicator to suite your preferences. 👀 Reading the Signals : Pay attention to the color-coded trend lines and volatility bands. Green indicates an uptrend, red signifies a downtrend, and gray denotes a neutral market condition. 📈 Identifying Entry Points : Look for bullish (▲) and bearish (▼) continuation icons below or above the price bars as signals for potential entry points for long or short positions, respectively. 🔄 Confirmation : Validate your trades with further analysis or other indicators. The Trend Continuation Signals are most effective when complemented by other technical analysis tools or fundamental insights. 📉 Risk Management : Implement stop-loss orders in line with your risk appetite and adjust them based on the volatility bands provided by the indicator to safeguard your investments. How It Operates: The essence of the indicator is captured through the hull moving averages for both the primary and secondary lines, set at periods of 93 and 50, respectively, to reflect market trends and pullbacks that trigger the continuation signals every time price recovers from a detected pullback. Volatility is quantified through the standard deviation of the midline, magnified by a factor, establishing the upper and lower trend band boundaries. Further volatility bands are plotted around the main volatility band, providing a granular view of market volatility and potential breakout or breakdown zones. Market trend direction is determined by comparing the HMA line's current position to its previous value, enhanced by the secondary line to identify continuation patterns. Embrace the power of the Trend Continuation Signals to enhance your trading strategy! It is important to note that all indicators are best used in confluence with other forms of analysis, happy trading! 📊💥
Pine Script® 인디케이터
AlgoAlpha의
14
Harmonic Trend Fusion [kikfraben]📈 Harmonic Trend Fusion - Your Personal Trading Assistant This versatile tool combines multiple indicators to provide a holistic view of market trends and potential signals. 🚀 Key Features: Multi-Indicator Synergy: Benefit from the combined insights of Aroon, DMI, MACD, Parabolic SAR, RSI, Supertrend, and SMI Ergodic Oscillator, all in one powerful indicator. Customizable Plot Options: Tailor your chart by choosing which signals to visualize. Whether you're interested in trendlines, histograms, or specific indicators, the choice is yours. Color-Coded Trends: Quickly identify bullish and bearish trends with the color-coded visualizations. Stay ahead of market movements with clear and intuitive signals. Table Display: Stay informed at a glance with the interactive table. It dynamically updates to reflect the current market sentiment, providing you with key information and trend direction. Precision Control: Fine-tune your analysis with precision control over indicator parameters. Adjust lengths, colors, and other settings to align with your unique trading strategy. 🛠️ How to Use: Customize Your View: Select which indicators to display and adjust plot options to suit your preferences. Table Insights: Monitor the dynamic table for real-time updates on market sentiment and trend direction. Indicator Parameters: Experiment with different lengths and settings to find the combination that aligns with your trading style. Whether you're a seasoned trader or just starting, Harmonic Trend Fusion equips you with the tools you need to navigate the markets confidently. Take control of your trading journey and enhance your decision-making process with this comprehensive trading assistant.
Pine Script® 인디케이터
kikfraben의
1
TrendLine CrossThis indicator "TrendLine Cross", is designed to plot trend lines so you can spot potential trend reversal points on the charts. The main function is to draw several lines on the chart and identify the crossings between these lines, which can be significant indicators for trading. The lines are based on different periods which can be changed in the settings tabs. Let's see the characteristics of the trend lines: _Low Line Color(Green Line): This line connects the lowest point of low prices in the "low_time" period with the lowest point of low prices in the "high_time" period. Indicates a possible short-term support level on the chart. _Liquidity Up Line Color (Golden Line): This line connects the lowest point of low prices in the "low_time" period with the highest point of low prices in the same period. It represents a liquidity zone and an important resistance in the chart. _Lower Line Color (Blue Line): This horizontal line connects the lowest point of low prices in the "LowerLine_period" with the lowest point of low prices in the "high_time" period. Indicates a possible long-term support level. _Upper Line Colorr: This line represents a connection between the highest points of the "high_time" period and the lowest point of the "LowerLine_period". Indicates a possible long-term resistance level. _Up Line Color (Red Line): This line connects the highest point of high prices in the "high_time" period with the highest point of high prices in the "LowerLine_period". It represents a possible long-term resistance level. _Liquidity Down Line Color(Golden Line): This line connects the highest point of high prices in the "high_time" period with the highest point of low prices in the "low_time" period. It represents a liquidity point and an important support zone. The indicator becomes particularly interesting when the lines make crossings. These crossovers could suggest a potential trend change in the market. For example: Change from Bearish to Bullish: If the "long-term" line (black) crosses the "short- or long-term" line (green or blue) from top to bottom, it could indicate a shift from a bearish to a bullish market , suggesting the opportunity for long positions. _Changing from Bullish to Bearish: If the "long-term" line (blue) crosses the "short-term" line (red or black) from bottom to top, it could indicate a shift from a bullish to a bearish market, suggesting the opportunity for short positions. Generally speaking, crossings between these lines can be key points of interest for traders, as they can signal significant changes in price direction.
Pine Script® 인디케이터
AleSaira의
25
Trend Reversal System with SR levelsHello All, This is the Trend Reversal System with Support/Resistance levels script. long time ago I published it as closed source but now I upgraded it and and published as open-source with a different name. I hope it would be useful for you all while trading/analyzing. The script has some parts in it: Setup, Count, SR levels, Risk levels & Targets . Now lets check them: Setup Part: it has two part, Buy or Sell Setup. one of them can be active only. Buy setup: if current close checks if current is lower/equal than the close of the 5. bar. if yes then the script increases number of buy setup. and if it reaches 9 then the script checks if current low is lower/equal than the lows of last 3. and 4. bars, or if the low of the last bar is lower/equal than the lows of last 3. and 4. bars. if yes then the script increases the buy setup by 1. if these conditions met then it puts the label 'S' , same for Sell setup. S labels on both setup are potential reversals. Count Part: If buy or sell setup reaches the 9 then Count part starts from 1. lets see buy count: If current close is lower/equal than the low of the 3. bar and buy count is lower than 12 or low of the bar 13 is less than or equal to the close of bar 8 then buy count increase or it's completed. if it's completed then the script puts C label, and it's potential reversal. of course there are some conditions that can cancel the count buy/sell or recycle/restart. By using Setup and Count levels the script can show Support/Resistance Levels, Risk levels & Targets. SR levels are potential reversal levels. Lets see some example screenshots: Support/Resistance levels: Potential Reversal levels and how setup/counts are shown: Count part can recycle and the script shows it as 'R' , ( you can see the conditions for Recycle in the script ): Count can be cancelled and and it's shown as 'x' If the scripts find 9 on Setup or 13 on Count then it checks if it's a good level to buy/sell and if it decides it's good level then it shows TRSSetup Buy/Sell or TRSCount Buy/Sell and also shows the target. in following example the script checks and decide it's a good level to take long position. it can be aggressive or conservative, Conservative is recommended. Enjoy!
Pine Script® 인디케이터
LonesomeTheBlue의
32
Trend Counter [theEccentricTrader]█   OVERVIEW This indicator counts the number of confirmed trend scenarios on any given candlestick chart and displays the statistics in a table, which can be repositioned and resized at the user's discretion. █   CONCEPTS Green and Red Candles • A green candle is one that closes with a high price equal to or above the price it opened. • A red candle is one that closes with a low price that is lower than the price it opened. Swing Highs and Swing Lows • A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak. • A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough. Peak and Trough Prices (Basic) • The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher. • The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower. Upper Trends • A return line uptrend is formed when the current peak price is higher than the preceding peak price. • A downtrend is formed when the current peak price is lower than the preceding peak price. • A double-top is formed when the current peak price is equal to the preceding peak price. Lower Trends • An uptrend is formed when the current trough price is higher than the preceding trough price. • A return line downtrend is formed when the current trough price is lower than the preceding trough price. • A double-bottom is formed when the current trough price is equal to the preceding trough price. Muti-Part Upper and Lower Trends • A multi-part return line uptrend begins with the formation of a new return line uptrend, or higher peak, and continues until a new downtrend, or lower peak, completes the trend. • A multi-part downtrend begins with the formation of a new downtrend, or lower peak, and continues until a new return line uptrend, or higher peak, completes the trend. • A multi-part uptrend begins with the formation of a new uptrend, or higher trough, and continues until a new return line downtrend, or lower trough, completes the trend. • A multi-part return line downtrend begins with the formation of a new return line downtrend, or lower trough, and continues until a new uptrend, or higher trough, completes the trend. █   FEATURES Inputs Start Date End Date Position Text Size Show Sample Period Table The table is colour coded, consists of seven columns and, as many as, forty-one rows. Blue cells denote the multi-part trend scenarios, green cells denote the corresponding return line uptrend and uptrend scenarios and red cells denote the corresponding downtrend and return line downtrend scenarios. The trend scenarios are listed in the first column with their corresponding total counts to the right, in the second and fifth columns. The last row in column one, displays the sample period which can be adjusted or hidden via indicator settings. The third and sixth columns display the trend scenarios as percentage of total 1-part trends. And columns four and seven display the total trend scenarios as percentages of the, last, or preceding trend part. For example 4-part trends as a percentages of 3-part trends. This offers more insight into what might happen next at any given point in time. Plots For a visual aid to this indicator please use in conjunction with my Return Line Uptrends, Downtrends, Uptrends and Return Line Downtrends indicators which can all be found on my profile page under scripts, or in community scripts under the same names. Unfortunately, I could not fit all the plots with the correct offsets into one script so I had to make a separate indicator for each trend type. I decided against labels as this would limit the visual data points to 500. Green up-arrows, with the number of the trend part, denote return line uptrends and uptrends. Red down-arrows, with the number of the trend part, denote downtrends and return line downtrends. █   HOW TO USE This is intended for research purposes, strategy development and strategy optimisation. I hope it will be useful in helping to gain a better understanding of the underlying dynamics at play on any given market and timeframe. It can, for example, give you an idea of whether the current trend will continue or fail, based on the current trend scenario and what has happened in the past under similar circumstances. Such information can be very useful when conducting top down analysis across multiple timeframes and making strategic decisions. What you do with these statistics and how far you decide to take your research is entirely up to you, the possibilities are endless. █   LIMITATIONS Some higher timeframe candles on tickers with larger lookbacks such as the DXY , do not actually contain all the open, high, low and close (OHLC) data at the beginning of the chart. Instead, they use the close price for open, high and low prices. So, while we can determine whether the close price is higher or lower than the preceding close price, there is no way of knowing what actually happened intra-bar for these candles. And by default candles that close at the same price as the open price, will be counted as green. You can avoid this problem by utilising the sample period filter. The green and red candle calculations are based solely on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. Alternatively, you can replace the scenarios with your own logic to account for the gap anomalies, if you are feeling up to the challenge. It is also worth noting that the sample size will be limited to your Trading View subscription plan. Premium users get 20,000 candles worth of data, pro+ and pro users get 10,000, and basic users get 5,000. If upgrading is currently not an option, you can always keep a rolling tally of the statistics in an excel spreadsheet or something of the like.
Pine Script® 인디케이터
theEccentricTrader의
Immediate Trend - VHXIMMEDIATE TREND - VULNERABLE_HUMAN_X This indicator is used to identify the immediate trend in the market. When a Short Term High (STH) is engulfed and closed above, we consider that as a bullish trend. And Similarly, when a Short Term Low (STL) is engulfed and closed below, we consider that as a bullish trend. STH - A candle that is higher than the one candle towards it's left and one candle towards it's right. STL - A candle that is lower than the one candle towards it's left and one candle towards it's right. HOW TO USE: 1. Do not take trades purely based on the immediate trend showcased by the indicator. Rather, use them as confluence with your trading strategy. 2. When you are expecting price to reverse at your point of interest (Denamd/Supply zone), this indicator can help you predict the reversal by showcasing the current trend. 3. Using this indicator you can travel the trend as long as there is a change of trend predicted by this indicator.
Pine Script® 인디케이터
Vulnerable_human_x의
4
Trend Dominance Multi Timeframe [Misu]█ This indicator shows the repartition of bullish and bearish trends over a certain period in multiple timeframes. It's also showing the trending direction at the time. █ Usages: Trend dominance is expressed with two percentages: left is downtrend and right is uptrend. Cell colors turn green if dominance is up and red if it is down. Knowing the trend dominance allows you to have a better overview of the market conditions. You can use it to your advantage to favor long or short trades, reversal or breakout strategies, etc. █ Features: > Table colors > Instant Trend Multitimeframe > Trend Dominance Multitimeframe █ Parameters: > Length: Length is used to calculate ATR. > Atr Multiplier: A factor used to balance the impact of the ATR on the Trend Bands calculation. > UI Settings
Pine Script® 인디케이터
Fontiramisu의
2
Trend Indicator (dow trending) - FontiramisuIndicator showing pivots and interpret a trend out of it. Pivots are calculating with deviation parameter to validate with more precision. Trending moves are calculated according to Dow Theory : In an uptrend, if the price made a new high, the price must make a new high to confirm the trend, otherwise, it might signal a possible change in the trend. In an uptrend, if the price made a new low, the price must make a new low to confirm the trend, otherwise, it might signal a possible change in the trend. The indicator can show 2 trends with 2 different "Pivot Depth" See indicator parameters. Tab is display at the bottom right corner to show trend direction and if it is hesitating Fontilab Library is used to code this indicator
Pine Script® 인디케이터
Fontiramisu의
TrendLineScalping-BasicDear Traders, Here is the thought which came to my mind on the trendline break scalping. sometimes during the trade we do plot trendlines and we do anticipate for the line to break and take a trade. with the same thing in mind I had created this basic script to help you and other to create based on the logic used in the script. This is just a logic based script and doesn't do any kind of wonders. Hence you may use it as necessary. Regards....
Pine Script® 인디케이터
TradeWiseWithEase의
6
8X Trend ATR SAR Dingue V58X Trend ATR SAR Dingue V5 - This is the updated version for Pine Script 5. 8x indicator into 1 : 2x ATR indicator - 3x Trend indicator - 3x SAR indicator Trends are helpful to spot reversal and support resistance, especially on bigger time frames. This indicator gives you a global view of various trends all at once. You can easily turn them On or Off as to not clog the screen. Each trend is also color-coded to visualize quickly the position of the price compared to it. You can customize lengths, adjust line sizes, have the start of a new trend marked with a circle, fill in colors. 'Tool tips' explain other settings and if you have any questions, feel free to ask in the comments below. Thank you for the feedback and check all my ‘Dingue’ indicators.
Pine Script® 인디케이터
CryptoDINGUE의
5
TrendLine ChannelsAbstract This script provides a set of Trendline Channels which can be tighter than Donchian Channels. This script computes the most suitable active upper and lower trendlines and updates them as soon as possible. We can use it for breakout signals earlier than Donchian Channels. Introduction Channels are tools which can mark area of values of ranging markets. Once the price leaves the original region, range traders may start admitting they are wrong and trigger trend. Donchian Channels (misheard as Dungeon Channels) use the highest and the lowest price to define area of values. When the price breakouts, it just like it got released from a dungeon. However, waiting for the price making even higher or lower may be too late and risk reward ratio may be lower. Trendlines can make the channels tighter and we can find earlier breakout signals. Computing Trendline Channels (1) Find the most active trendlines In this script, a valid trendline connects two high values or two low values. A high value means the highest value in a trading day. A low value means the lowest value in a trading day. In this script, every trendline does not crossover any bar but can exactly touch them. The most flat trendline is taken. (one for upper and one for lower) (2) Continue to use or Change a trendline If there is a tighter trendline available, this script changes to use it. If the previous active trendline is broken, this script re-computes the trendline available. When this case happens, this script display with an another color. Otherwise, this script continues using the previous trendline. (3) Middle line The middle line indicates the middle value between the upper and the lower. Parameters Length : how many days are used for computation. The default value is 16 just because 16=4*4, using binary characteristic. x_go_on : If the previous trendline is not breakout and there are no tighter trendlines available, we continue use it. Color Options (1) Upper trendline (no update or tighter) (2) Upper trendline (changed due to breakout) (3) Middle line (4) Lower trendline (no update or tighter) (5) Lower trendline (changed due to breakout) Conclusion Trendline Channels can be tighter than Donchian Channels and evaluate earlier breakout signals. Comparing to known auto trendline scripts, Trendline Channels is continuous. Once a trendline is broken, Trendline Channels can instantly point out the next available one. If you think the price movement is boring or you cannot have good risk reward ratio, you can go to an another timeframe. Reference How to trade with Donchian Channels How to trade with Trendlines
Pine Script® 인디케이터
clocks156t174의
SMA + Trend Strength + Trailing Stop LossThe 'SMA + Trend Strength + Trailing Stop Loss' indicator was designed for swing trading long positions over the course of days/weeks. The benefit of the indicator is to identify areas where the market of a given asset is showing signs of a strong uptrend, divergences, and fear. A 13-bar simple moving average is color coded to four colors based on 5 given conditions at a time, which are represented as a trend meter on the bottom right of the screen. A trailing stop loss indicator is included to secure your profits or limit your loss in case the market reverses on you unexpected. Please use this indicator responsibly with proper risk management, and never rely on the indicator by itself for buy and sell signals. When the simple moving average color is green, it means that at least 4 of 5 conditions are confirming a move upwards, this is when you can take an entry into a trade based on your entry strategy. As the trend continues, the color will eventually change to yellow signaling a divergence. This is when you can use your exit strategy to find a good point to sell. It is wise not to take new positions when the color is trending yellow. If the color changes from yellow to orange, that is a warning sign that the trend is about to change or has begun to change. Prices may have already fallen. However, sometimes the color will change from yellow back to green signaling a continuation of the trend. You can either keep holding or take a new position in this instance. When the color is red, this signals fear in the market, you should stay out of the market at first. However, as the market consolidates and the color starts changing back to orange, this is an opportunity to take a long position at a reasonably low price. Simple Moving Average (13-Bar) Color Explanation: The colors change based on 5 market conditions represented in the trend meter. Green: Strong Uptrend Yellow: Divergence Present Orange: Warning Red: Fear Trend Meter Explanation: The trend meter draws 5 arrows indicating bullish or bearish presence. LL = Lower Lows - Detects when the market is trending with lower lows. HH = Higher Highs - Detects when the market is trending with higher highs. MA = SMA Direction - A formula is used to determine the direction of the SMA. DI = Directional Index - Identifies when upwards momentum is trending. RSI = Relative Strength Index - Identifies when the RSI is in an uptrend state. Note: For advanced users, this indicator has a hidden DMI(4, 4, 4) and RSI(14) indicator used to determine the last two conditions. The Directional Index is based on a DI Plus momentum moving average to determine a momentum trend and the RSI trending over 50 will constitute an uptrend signal as below 50 it will point down. Trailing stop loss: The trailing stop loss is determined based on the lowest price of the last 8 bars. A gray step-line is drawn at the suggested stop activation price. A red step-line is drawn at the suggested stop limit price. When the price breaches the trailing stop, a red X will appear below the bar. You can turn each of these features on or off based on your preference. Happy trading!
Pine Script® 인디케이터
NoobPro1의
14
Trend Lines for RSI, CCI, Momentum, OBVHello Traders! After publishing Trend Lines for RSI yesterday, I realized that Trend Lines for more indicators needed by the traders. so I decided to make it for four different indicators: RSI, CCI, OBV, Momentum In the indicator options you can choose the indicator from pull-down menu. How it works? - On each bar it finds last 10 higher and lower Pivot Points (PP) for the indicator. - from first bar to 10. Pivot Point it searchs if a trend line is possible - for each PP it starts searching from the last PP . - it checks if drawing a trend line possible or not and also it's broken or not - if it's broken then optionally it shows broken trend lines as dotted (or you can option not to see broken lines) - if it finds a continues trend line then it stops searhing more and draw trend line, this is done by checking angles (I did this to make the script faster, otherwise you may get error because of it needs time more than .2sec) - the script makes this process for each PP - then shows the trend lines P.S. it may need 3-10 seconds when you added the script to the chart at first (because of calculations) Trend lines for CCI: Trend Lines for OBV Trend Lines for Momentum: You may want to watch how Trend Lines script works (that was made for RSI) s3.tradingview.com If you still didn't see Trend Lines v2 then visit: All Comments are welcome.. Enjoy!
Pine Script® 인디케이터
LonesomeTheBlue의
57
Trend Lines v2Hello Everyone. After working on new and better trend lines script for couple of weeks, finally I am proud to publish Trend Lines v2. How it works? - On each bar it finds last 10 higher and lower Pivot Points (PP). - from first bar to 10. PP it search if a trend line is possible - for each it starts searching from the last PP. - it check if drawing a trend line possible or not and also it's broken or not - if it's broken then optionally it shows broken trend lines as dotted - if it finds a continues trend line and stop searhing more and draw trend line (I did this to make the script faster, otherwise you may get error because of it needs time more than .2sec) - the script makes this process for each PP optionally trend lines may be Solid or Dashed optionally you may get rid of broken trend lines if you think it's crowded and sometimes you may not see any trend line on the chart. this means you need to adjust the period for Pivot Points accordingly also I made a video. if you watch this video you can see how the script works. Important! after you add this tool to the chart you may need zoom-in and zoom-out to see all lines! I thought a lot to make it free or not then I decided make it free and open source. you should know there is a lot of effort for this script, so if you think this is usefull please consider a donation ;) Enjoy!
Pine Script® 인디케이터
LonesomeTheBlue의
229
Trend LinesHello Everyone! This is my new trend lines script (after beta version that was published almost one year ago) The idea is to find Pivot Highs (PH) and Pivot Lows(PL) first. Then, If current PH is smaller then previous PH (means no new higher high and possible downtrend) then draw trend line using them. and also it checks previous trend line (if exits) and if current angle is smaller then don't extend previous one. Same idea when using Pivot Lows, If current PL is higher then previous PL (means no new lower low and possible uptrend) then draw trend line using them. and also it checks previous trend line (if exits) and if current angle is smaller then don't extend previous one. Optionally style of old trend lines drawn as dashed. Hope you enjoy it!
Pine Script® 인디케이터
LonesomeTheBlue의
65
Adaptive Trend Sabre [BOSWaves]Adaptive Trend Sabre - Dynamic Trailing Stop System with Tension-Based Support and Resistance Detection Overview Adaptive Trend Sabre is a tension-aware trend following system that tracks directional price movement through adaptive trailing stops, where band positioning dynamically adjusts based on price tension relative to the trend baseline and automatically generates support and resistance levels when extreme tension conditions are released. Instead of relying on fixed trailing stop distances or static support/resistance plotting, trend state, band positioning, and level creation are determined through ATR-normalized tension measurement, elastic snap detection, and dynamic level management that maintains only the most relevant price zones. This creates dynamic trend boundaries that reflect actual price tension rather than arbitrary technical levels - tightening during low-tension conditions when trend conviction is high, maintaining distance during stretched conditions when directional stress builds, and capturing snap levels at extremes to mark future support and resistance zones where price demonstrated significant elasticity. Price is therefore evaluated relative to bands that adapt to tension dynamics and historically significant stress-release points rather than conventional fixed-distance trails. Conceptual Framework Adaptive Trend Sabre is founded on the principle that meaningful trend signals emerge when price maintains position relative to adaptive trailing stops that adjust based on tension dynamics, while significant support and resistance zones form at locations where extreme price tension is released back toward equilibrium. Traditional trailing stop methods use fixed ATR multipliers that ignore the underlying tension dynamics and stress accumulation that occur during extended moves. This framework replaces static-distance logic with tension-driven band construction informed by actual price elasticity and snap behavior relative to the trend baseline. Three core principles guide the design: Trend direction should be determined by adaptive trailing stop breaches that adjust to maintain optimal distance from the moving average baseline. Support and resistance levels should form automatically at points where extreme price tension releases, marking zones of proven price elasticity. Tension measurement reveals whether price is operating within normal bounds or building stress that may lead to reversal or continuation acceleration. This shifts trend analysis from fixed-distance trailing stops into adaptive, tension-anchored confidence boundaries with intelligent level detection. Theoretical Foundation The indicator combines configurable moving average smoothing, Average True Range volatility measurement, tension-based trailing stop logic, and snap-release level detection methodology. A user-selected MA type (HMA, EMA, SMA, WMA, DEMA, TEMA, VWMA, ALMA, LSMA) provides the trend baseline for directional reference, while ATR offers volatility-normalized scaling for distance calculation and tension measurement. Tension detection identifies when price has stretched beyond threshold distances relative to the baseline, tracking extremes and triggering level creation upon release. The trailing stop advances in favorable trend direction but never retreats, creating a dynamic risk boundary. Four internal systems operate in tandem: Trend Baseline Engine : Computes user-selected moving average of price for directional reference and tension calculation anchor point. Volatility Measurement System : Calculates 14-period ATR to provide adaptive scaling that normalizes distance and tension across varying market conditions. Adaptive Trailing Logic : Maintains trailing stop at configurable ATR distance from baseline, advancing in trend direction but never reversing until price crosses the trail. Snap-Level Detection System : Monitors tension thresholds, captures price extremes during stretched conditions, and creates support/resistance lines at release points with automatic extension and break management. This design allows trend boundaries to reflect actual price behavior dynamics rather than reacting mechanically to fixed distance rules. How It Works Adaptive Trend Sabre evaluates price through a sequence of tension-aware processes: Baseline Calculation : Selected MA type smoothing of close price creates a directional trend reference that filters short-term noise. ATR Distance Scaling : 14-period ATR calculation multiplied by trail factor determines optimal trailing stop distance from baseline. Trail Positioning : In bullish trend, trail sits below MA at ATR distance; in bearish trend, trail sits above MA at ATR distance. Trail Advancement Logic : Bullish trail can only rise (never fall); bearish trail can only fall (never rise), creating unidirectional risk boundary. Trend State Switches : Price closing below bullish trail triggers bearish state switch; price closing above bearish trail triggers bullish state switch. Tension Measurement : Distance between close and MA baseline divided by ATR creates normalized tension reading showing price elasticity. Snap Detection : When absolute tension exceeds snap threshold (default 2.0 ATR), system enters "snapped" state and begins tracking price extremes. Extreme Capture : During bullish snap (tension > +2.0), highest high is recorded; during bearish snap (tension < -2.0), lowest low is recorded. Release Identification : When tension returns below half the snap threshold after being snapped, system registers a release event at the captured extreme. Level Creation : Release of bullish snap creates resistance line at captured high; release of bearish snap creates support line at captured low. Level Management : Lines extend forward in time and are automatically deleted when price closes beyond buffer distance (0.25 ATR), maintaining only 8 most recent levels. Retest Detection : Price touching trail or snap levels after cooldown period marks retests, with minimum bar spacing preventing excessive plotting. Together, these elements form a continuously updating trend framework anchored in tension dynamics and elastic price behavior. Interpretation Adaptive Trend Sabre should be interpreted as tension-anchored trend boundaries with automated support/resistance detection: Bullish Trend State (Green) : Established when price remains above adaptive trailing stop, indicating sustained upward momentum with trail acting as dynamic support. Bearish Trend State (Red) : Established when price remains below adaptive trailing stop, signaling sustained downward momentum with trail acting as dynamic resistance. Elastic Cloud : Visual gradient zone displays between MA baseline and trailing stop, with fill intensity reflecting current tension level - lighter when tension is low, darker when tension builds. Tension Dynamics : High tension (>2.0 ATR) indicates price stretched far from baseline; low tension (<1.0 ATR) indicates price operating near equilibrium. ◆ Buy Signals : Green diamond markers appear when trend state switches from bearish to bullish at trail crossover, indicating momentum shift to upside. ◆ Sell Signals : Red diamond markers appear when trend state switches from bullish to bearish at trail crossunder, signaling momentum shift to downside. ✦ Retest Markers : Small diamonds identify price retouching trail or support/resistance levels during bullish/bearish trends after cooldown period. Dotted Support Lines (Green) : Horizontal levels created at bearish snap releases, marking zones where price demonstrated extreme downward elasticity. Dotted Resistance Lines (Red) : Horizontal levels created at bullish snap releases, marking zones where price demonstrated extreme upward elasticity. Colored Candles : Bar coloring reflects current trend state for immediate visual reference. Tension measurement, snap behavior, and trail dynamics outweigh isolated price movements. Signal Logic & Visual Cues Adaptive Trend Sabre presents three primary interaction signals: Buy Signal (◆) : Green diamond appears when trend state switches from bearish to bullish via trailing stop crossover, suggesting momentum shift to upside with new dynamic support level established. Sell Signal (◆) : Red diamond displays when trend state switches from bullish to bearish via trailing stop crossunder, indicating momentum shift to downside with new dynamic resistance level established. Retest Confirmation (✦) : Small diamonds mark price revisiting trail or snap levels after cooldown period, suggesting trend continuation at established support/resistance zones. Snap level creation provides automatic support/resistance detection when extreme tension conditions release, marking zones of proven price elasticity without manual drawing. Alert generation covers trend state switches (bullish/bearish signals) and retest occurrences for systematic monitoring. Strategy Integration Adaptive Trend Sabre fits within adaptive trend-following and dynamic support/resistance approaches: Trail-Based Position Management : Use trailing stop as primary risk boundary - exit long positions when price closes below bullish trail, exit short positions when price closes above bearish trail. Snap Level Entry Refinement : Enter trends on retest of snap support/resistance levels for lower-risk entry points within established directional moves. Tension-Aware Sizing : Reduce position sizing during high tension periods (>2.5 ATR) as price operates in stretched conditions with elevated reversal risk. Multi-Level Zone Analysis : Monitor density of snap levels - clustered support/resistance zones indicate stronger price memory areas warranting attention. Cloud-Aligned Directional Bias : Favor trades aligning with current trend state color rather than counter-trend positions against the trail. Retest-Based Re-entry : Use retest signals as continuation confirmation opportunities to add to or re-enter positions within established trends. Multi-Timeframe Trail Confirmation : Apply higher-timeframe trend state to filter lower-timeframe entry precision, entering only when trails align across timeframes. Technical Implementation Details Core Engine : Configurable MA baseline (HMA, EMA, SMA, WMA, DEMA, TEMA, VWMA, ALMA, LSMA) with 14-period ATR volatility measurement Trail Model : Unidirectional advancing logic with ATR-scaled distance from MA baseline Tension System : Normalized distance calculation with threshold-based snap detection (default 2.0 ATR) Level Construction : Extreme capture during snap conditions with release-triggered line creation at high/low points Level Management : FIFO queue with maximum capacity (default 8 levels), automatic extension, and break-based deletion with buffer zone Visualization : Gradient-filled elastic cloud with bar coloring, diamond signals, and extended dotted snap levels Signal Logic : State-switch detection with retest buffer (default 5 bars) and cooldown mechanisms Performance Profile : Optimized for real-time execution across all timeframes with efficient level management Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-trend tracking for scalping with responsive trail distance settings 15 - 60 min : Intraday momentum following with balanced snap threshold characteristics 4H - Daily : Swing-level trend identification with sustained trail protection Suggested Baseline Configuration: MA Type : HMA MA Length : 34 Trail Distance : 3.25 ATR Snap Threshold : 2.0 ATR Level Break Buffer : 0.25 ATR Maximum Levels : 8 Show Retests : Enabled Retest Cooldown : 5 bars Bullish Color : Green (#00ff00) Bearish Color : Red (#ff0000) These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, trending characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Trail too close/loose : Adjust Trail Distance multiplier to modify how far the trailing stop sits from MA baseline - lower values create tighter trails with more frequent switches, higher values create looser trails with greater trend persistence. Excessive snap levels : Increase Snap Threshold to demand more extreme tension before snap detection activates, reducing level creation frequency. Missed important levels : Decrease Snap Threshold toward 1.5 ATR to capture less extreme tension releases as support/resistance zones. Levels breaking too easily : Increase Level Break Buffer to require price to close further beyond snap lines before deletion. Too many levels cluttering chart : Decrease Maximum Levels to maintain fewer historical snap zones, focusing on most recent tension releases. Baseline too reactive : Increase MA Length for smoother trend reference that filters more short-term noise, or switch to slower MA types (SMA, ALMA). Baseline too slow : Decrease MA Length for more responsive trend tracking, or switch to faster MA types (HMA, DEMA, TEMA). Excessive retest markers : Increase Retest Cooldown to space out retest signals and reduce visual noise. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with clear directional persistence and sustained moves away from baseline Instruments with consistent volatility characteristics where ATR scaling normalizes effectively Momentum continuation strategies using trail as dynamic support/resistance boundary Swing trading approaches benefiting from automated snap level detection at tension extremes Breakout strategies where snap levels mark zones of proven elasticity for retest entries Reduced Effectiveness: Choppy, range-bound markets with frequent trail crossovers causing whipsaw signals Extremely low volatility environments where snap threshold becomes difficult to breach News-driven or gapped markets with discontinuous price action that bypasses trail logic High-frequency mean-reversion dominant conditions where price oscillates around MA baseline Consolidation and sideways price action where trend-following methodologies inherently struggle due to lack of sustained directional movement Integration Guidelines Confluence : Combine with BOSWaves structure analysis, volume indicators, or traditional support/resistance zones Trail Respect : Honor trailing stop as primary risk boundary - close positions when trail is breached regardless of other factors Level Awareness : Pay attention to snap level clusters as these represent zones of historical price memory and tension release Tension Monitoring : Track tension readings to identify overextended conditions (>2.5 ATR) warranting profit-taking or position reduction Retest Utilization : Treat retest signals as continuation confirmation opportunities rather than reversal warnings State Discipline : Maintain directional bias aligned with current trend state until trail breach occurs Multi-Timeframe Alignment : Use higher timeframe trend state as filter for lower timeframe entries to ensure confluence across time horizons Disclaimer Adaptive Trend Sabre is a professional-grade trend following and dynamic support/resistance detection tool. It uses ATR-normalized trailing stops with tension-based snap level creation but does not predict future price movements. Results depend on market conditions, volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Pine Script® 인디케이터
BOSWaves의
Trend Forge Trend Forge is a fully configurable multi-trend strategy that lets you mix and match three independent trend indicators to define bullish and bearish market states. When all three trends align above price, the strategy enters long; when all three align below, it enters short. Every position is protected by an ATR-based stop loss, and trades close automatically when the trend alignment breaks down. This script was converted from the original Bear & Bull Builder indicator I published into a back testable strategy with real entries, exits, and stop loss orders. It gives you access to TradingView's full Strategy Tester including equity curves, trade lists, and performance metrics. How It Works Trend Selection: You choose three trend indicators independently, each with its own type and length: - Trend 1 (default: EMA 21) — fast trend - Trend 2 (default: EMA 55) — medium trend - Trend 3 (default: SMA 89) — slow trend Each trend slot supports five indicator types: EMA, SMA, RSI, CCI, and WaveTrend (WT). This gives you complete freedom to build a trend-following system tailored to your instrument and timeframe. Entry Logic Long Entry: Triggered on the first confirmed bar where price closes above all three trend values. The strategy enters long at market and simultaneously places an ATR-based stop loss order. Short Entry: Triggered on the first confirmed bar where price closes below all three trend values. The strategy enters short at market with an ATR-based stop loss. Stop Loss Calculation The stop loss distance is calculated as: `Stop Loss Distance = ATR(20) × Multiplier` - For longs, the stop is placed below the highest of the three trend values at entry. - For shorts, the stop is placed above the lowest of the three trend values at entry. The ATR multiplier is user-adjustable (default: 2.5), letting you widen or tighten risk per trade based on volatility. Exit Logic Positions close via market order when the trend alignment condition that triggered the entry is no longer met — i.e., when price crosses back through one or more of the trend lines. If the stop loss is hit first, the strategy exits at the stop price instead. --- Visual Features All of the original indicator's visual overlays are preserved: -Stop Loss Zones — shaded red regions between the entry level and the ATR stop loss, shown for longs and/or shorts (toggle on/off). - Trend Zones — green-shaded areas that highlight when a bullish or bearish state is active. - Signal-to-Order Fill Zones — a green zone that visualizes the one-bar delay between signal generation (bar close confirmation) and order execution (next bar open). - Entry, Stop, and Exit Labels — price labels printed on the chart at entry, stop loss, and exit points with color coding (green = entry, orange = stop, cyan = exit). Toggleable for longs and shorts independently. --- Settings Reference | Group | Setting | Default | Description | |-------|---------|---------|-------------| | First Trend** | Trend Type | EMA | Indicator type for Trend 1 | | First Trend** | Trend Length | 21 | Lookback period for Trend 1 | | Second Trend | Trend 2 | EMA | Indicator type for Trend 2 | | Second Trend | Trend Length | 55 | Lookback period for Trend 2 | | Third Trend | Trend 3 | SMA | Indicator type for Trend 3 | | Third Trend| Trend Length | 89 | Lookback period for Trend 3 | | Stop Loss | ATR Multiplier | 2.5 | Multiplied by ATR(20) to set stop distance | | Display | Long/Short Labels | Long on | Show entry, stop, and exit price labels | | Display| Stop Loss Zones | Long on | Shade the region between entry and stop | | Display | Trend Zones | Long on | Shade active bull/bear trend areas | | Display | Signal-to-Order Zones | Long on | Show the fill delay visualization | --- Strategy Properties | Property | Value | |----------|-------| | Default Qty Type | 100% of equity | | Initial Capital | 10,000 | | Pyramiding | 0 (no stacking) | | Order Fill | Next bar open | | Bar Confirmation | Orders only on confirmed bars | --- Usage Tips - Start with the default EMA 21 / EMA 55 / SMA 89 combination and adjust from there. - Pair faster trend lengths for scalping on lower timeframes, or slower lengths for swing trading on daily/weekly charts. - Increase the ATR multiplier on volatile instruments to avoid premature stop outs; decrease it on stable instruments for tighter risk control. - Use the Strategy Tester tab to compare different trend type and length combinations across your chosen symbol and timeframe. - The WaveTrend and CCI options can provide earlier signals in ranging markets but may generate more whipsaws — backtest before committing. --- Disclaimer This strategy is provided for educational and backtesting purposes only. Past performance does not guarantee future results. Always validate with out-of-sample data and proper risk management before trading live capital.
Pine Script™ 전략
Beck_Mullen의
Luminous Trend Wave [Pineify]``` Luminous Trend Wave - Hull MA Based Normalized Momentum Oscillator The Luminous Trend Wave (Pineify) is a momentum oscillator designed to provide clear, responsive trend signals while minimizing the lag commonly associated with traditional momentum indicators. By combining Hull Moving Average (HMA) calculations with ATR-based normalization and hyperbolic tangent transformation, LTW delivers a bounded oscillator that works consistently across different assets and timeframes. Key Features Hull Moving Average foundation for reduced lag trend detection ATR normalization for universal applicability across all markets Bounded output range (-100 to +100) using mathematical tanh transformation Dynamic gradient coloring that reflects momentum intensity Built-in signal line for momentum confirmation Automatic alerts for trend reversals and momentum shifts How It Works The indicator operates through a four-stage calculation process: Trend Basis Calculation: The indicator first calculates a Hull Moving Average (HMA) of the closing price. HMA was chosen specifically because it provides significantly less lag compared to Simple or Exponential Moving Averages while maintaining smoothness. This allows the oscillator to respond quickly to genuine price movements. Distance Measurement: The raw distance between the current close price and the HMA trend line is calculated. This distance represents how far price has deviated from its smoothed trend. ATR Normalization: The distance is then divided by the Average True Range (ATR) over the same lookback period. This normalization step is crucial - it makes the oscillator readings comparable across different assets regardless of their price levels or typical volatility. A stock trading at $500 and one at $5 will produce equivalent readings when their relative movements are similar. Tanh Transformation: Finally, the normalized value is passed through a hyperbolic tangent function scaled by a sensitivity multiplier. The mathematical formula (e^2x - 1) / (e^2x + 1) naturally bounds the output between -100 and +100, preventing extreme spikes while preserving the directional information. Trading Ideas and Insights Zero Line Crossovers: When the oscillator crosses above zero, it indicates a shift from bearish to bullish momentum. Conversely, crossing below zero signals bearish momentum. These crossovers can be used as entry triggers when confirmed by other analysis. Overbought/Oversold Levels: Readings above +80 suggest overbought conditions where price has extended significantly above its trend. Readings below -80 indicate oversold conditions. These extremes often precede mean reversion moves. Signal Line Divergence: When the main oscillator (histogram) is above the signal line, momentum is increasing. When below, momentum is decreasing. This relationship helps identify the strength of the current move. Momentum Fading: The indicator automatically fades the color intensity when the oscillator value is closer to the signal line than to the extremes, visually indicating weakening momentum before potential reversals. How Multiple Indicators Work Together LTW integrates three distinct technical concepts into a cohesive system: Hull MA + ATR Integration: The Hull Moving Average provides the trend direction while ATR provides the volatility context. Together, they answer not just "where is the trend?" but "how significant is the current deviation relative to normal market movement?" Mathematical Bounding + Visual Mapping: The tanh transformation ensures readings stay within predictable bounds, while the gradient coloring maps these bounded values to intuitive visual feedback. Strong bullish readings appear in bright green, strong bearish in bright red, with smooth transitions between. Oscillator + Signal Line System: Similar to MACD's relationship between the MACD line and signal line, LTW uses a WMA-smoothed signal line to filter noise and confirm momentum direction. The interplay between the faster oscillator and slower signal creates actionable crossover signals. Unique Aspects Universal Normalization: Unlike many oscillators that produce different reading ranges on different assets, LTW's ATR normalization ensures consistent interpretation whether trading forex, crypto, stocks, or commodities. Sensitivity Control: The sensitivity parameter allows traders to adjust how aggressively the oscillator responds to price changes. Higher values make it more responsive (useful for scalping), while lower values smooth out noise (better for swing trading). Visual Momentum Feedback: The gradient coloring and transparency adjustments provide immediate visual feedback about trend strength without requiring traders to interpret numerical values. How to Use Add the indicator to your chart - it displays in a separate pane below price. Watch for zero line crossovers as primary trend signals. Bullish when crossing above, bearish when crossing below. Use the ±80 levels as caution zones where reversals become more likely. Monitor the relationship between the histogram and signal line - histogram above signal indicates strengthening momentum. Pay attention to color intensity - faded colors indicate weakening momentum and potential reversal zones. Set alerts for automated notifications on trend changes and momentum shifts. Customization Trend Lookback (default: 21): Controls the HMA period. Lower values increase responsiveness but may generate more false signals. Higher values provide smoother trends but with more lag. Signal Smoothing (default: 5): Adjusts the WMA period for the signal line. Higher values create a slower signal line with fewer crossovers. Sensitivity (default: 1.5): Multiplier for the tanh transformation. Increase for more reactive signals, decrease for smoother readings. Colors: Fully customizable bullish and bearish colors to match your chart theme. Gradients: Toggle gradient coloring on/off based on preference. Conclusion The Luminous Trend Wave indicator offers traders a mathematically sound approach to momentum analysis. By combining the low-lag properties of Hull Moving Average with ATR-based normalization and bounded output transformation, LTW provides consistent, interpretable signals across any market. The visual feedback system makes trend strength immediately apparent, while the signal line crossovers offer clear entry and exit timing. Whether used as a standalone tool or combined with price action analysis, LTW helps traders identify trend direction, momentum strength, and potential reversal zones with clarity. ```
Pine Script® 인디케이터
Pineify의
Impulse Trend Levels [BOSWaves]Impulse Trend Levels - Momentum-Adaptive Trend Detection with Impulse-Driven Confidence Bands Overview Impulse Trend Levels is a momentum-aware trend identification system that tracks directional price movement through adaptive confidence bands, where band width dynamically adjusts based on impulse strength and freshness to reflect real-time conviction in the current trend direction. Instead of relying on fixed moving average crossovers or static band multipliers, trend state, band positioning, and zone thickness are determined through impulse detection patterns, exponential decay modeling, and volatility-normalized momentum measurement. This creates dynamic trend boundaries that reflect actual momentum intensity rather than arbitrary technical levels - contracting during fresh impulse conditions when trend conviction is high, expanding during impulse decay periods when directional confidence weakens, and incorporating momentum freshness calculations to reveal whether trends are accelerating or deteriorating. Price is therefore evaluated relative to bands that adapt to momentum state rather than conventional static thresholds. Conceptual Framework Impulse Trend Levels is founded on the principle that meaningful trend signals emerge when price momentum intensity reaches significant thresholds relative to recent volatility rather than when price simply crosses moving averages. Traditional trend-following methods identify directional changes through price-indicator crossovers, which often ignore the underlying momentum dynamics and conviction levels that sustain those moves. This framework replaces static-threshold logic with impulse-driven band construction informed by actual momentum strength and decay characteristics. Three core principles guide the design: Trend direction should be determined by volatility-normalized momentum breaches, not simple price crossovers alone. Band width must adapt to impulse freshness, reflecting real-time confidence in the current trend. Momentum decay modeling reveals whether trends are maintaining strength or losing conviction. This shifts trend analysis from static indicator levels into adaptive, momentum-anchored confidence boundaries. Theoretical Foundation The indicator combines exponential moving average smoothing, mean absolute deviation measurement, impulse detection methodology, and exponential decay tracking. An EMA-based trend baseline provides directional reference, while Mean Absolute Deviation (MAD) offers volatility-normalized scaling for momentum measurement. Impulse detection identifies significant price movements relative to recent volatility, triggering fresh momentum readings that decay exponentially over time. Band multipliers interpolate between tight and wide settings based on calculated impulse freshness. Four internal systems operate in tandem: Trend Baseline Engine : Computes EMA-smoothed price levels for directional reference and band anchoring. Volatility Measurement System : Calculates MAD to provide adaptive scaling that normalizes momentum across varying market conditions. Impulse Detection Logic : Identifies volatility-normalized price movements exceeding threshold levels, capturing momentum intensity and direction. Decay-Based Confidence Modeling : Applies exponential decay to impulse readings, converting raw momentum into time-weighted freshness metrics that drive band adaptation. This design allows trend confidence to reflect actual momentum behavior rather than reacting mechanically to price formations. How It Works Impulse Trend Levels evaluates price through a sequence of momentum-aware processes: Baseline Calculation : EMA smoothing of open and close creates a directional trend reference that filters short-term noise. Volatility Normalization : MAD calculation over a specified lookback provides dynamic scaling for momentum measurement. Raw Impulse Detection : Price change over impulse lookback divided by MAD creates volatility-normalized momentum readings. Threshold-Based Activation : When normalized momentum exceeds threshold (1.0), impulse registers with absolute magnitude and directional sign. Exponential Decay Application : Between impulse events, stored impulse value decays exponentially via configurable decay rate. Freshness Conversion : Decaying impulse transforms into freshness metric (0-100%) representing current momentum conviction. Adaptive Band Construction : Band multiplier interpolates between minimum (fresh) and maximum (stale) settings based on freshness, then scales MAD to determine band width. Trend State Logic : Price crossing above upper band triggers bullish state; crossing below lower band triggers bearish state; state persists until opposite breach. Signal Generation : Trend state switches from bearish to bullish produce buy signals; bullish to bearish switches produce sell signals. Retest Identification : Price touching inner band edge after signal buffer period marks retests, with cooldown periods preventing excessive plotting. Together, these elements form a continuously updating trend framework anchored in momentum reality. Interpretation Impulse Trend Levels should be interpreted as momentum-anchored trend confidence boundaries: Bullish Trend State (Cyan) : Established when price closes above adaptive upper band, indicating upward momentum breach with associated confidence level. Bearish Trend State (Magenta) : Established when price closes below adaptive lower band, signaling downward momentum breach with directional conviction. Trend Cloud : Visual gradient zone displays between outer and inner band edges, with opacity reflecting current trend state and confidence. Band Width Dynamics : Tighter bands indicate fresh impulse (high confidence), wider bands indicate impulse decay (reduced confidence). ▲ Buy Signals : Green upward triangles mark bullish trend state initiations at crossovers above upper band. ▼ Sell Signals : Red downward triangles mark bearish trend state initiations at crossovers below lower band. ✦ Retest Markers : Small diamonds identify price retouching inner band edge after sufficient buffer period from initial signal. Retest Extension Lines : Horizontal projections from retest points extend forward, marking potential support/resistance levels. Colored Candles : Optional bar coloring reflects current trend state for immediate visual reference. Note: The original chart candles must be disabled in chart settings for the trend-colored candles to display properly. Impulse freshness, band width dynamics, and momentum normalization outweigh isolated price movements. Signal Logic & Visual Cues Impulse Trend Levels presents two primary interaction signals: Buy Signal (▲) : Green label appears when trend state switches from bearish to bullish via upper band crossover, suggesting momentum shift to upside. Sell Signal (▼) : Red label displays when trend state switches from bullish to bearish via lower band crossunder, indicating momentum shift to downside. Retest detection provides secondary confirmation when price revisits inner band boundaries after signal buffer cooldown expires. Alert generation covers trend state switches (long/short), retest occurrences, and impulse freshness decay below 50% threshold for systematic monitoring. Strategy Integration Impulse Trend Levels fits within momentum-informed and adaptive trend-following approaches: Momentum-Confirmed Entries : Use band crossovers as high-probability trend initiation points where volatility-normalized momentum exceeded threshold. Freshness-Based Position Sizing : Scale exposure based on impulse freshness - larger positions during fresh impulse periods, reduced sizing as impulse decays. Band-Width Risk Management : Expect wider price ranges when bands expand during decay, tighter ranges when bands contract during fresh impulse. Retest-Based Re-entry : Use inner band retests as lower-risk entry opportunities within established trends after initial signal cooldown. Cloud-Aligned Directional Bias : Favor trades aligning with current trend state rather than counter-trend positions. Multi-Timeframe Momentum Confirmation : Apply higher-timeframe impulse trend state to filter lower-timeframe entry precision. Technical Implementation Details Core Engine : EMA-based baseline with MAD volatility measurement Impulse Model : Volatility-normalized momentum detection with directional sign capture Decay System : Exponential decay application (0.8-0.99 range) with freshness conversion Band Construction : Linear interpolation between min/max multipliers scaled by MAD Visualization : Gradient-filled cloud zones with bar coloring and signal labels Signal Logic : State-switch detection with retest buffer and cooldown mechanisms Performance Profile : Optimized for real-time execution across all timeframes Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-trend detection for scalping with responsive impulse settings 15 - 60 min : Intraday momentum tracking with balanced decay characteristics 4H - Daily : Swing-level trend identification with sustained impulse persistence Suggested Baseline Configuration: Trend Length : 19 Impulse Lookback : 5 Decay Rate : 0.99 MAD Length : 20 Band Min (Fresh) : 1.5 Band Max (Stale) : 1.9 Signal Buffer Period : 10 Show Trend Cloud : Enabled Color Bars : Enabled (requires disabling original chart candles in chart settings) Show Buy/Sell Signals : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Excessive signal noise : Increase Trend Length to demand smoother baseline crossovers or increase Impulse Lookback for less reactive momentum detection. Missed momentum shifts : Decrease Impulse Lookback to capture shorter-term momentum changes or reduce Decay Rate to allow faster impulse fade. Bands too tight/wide : Adjust Band Min and Band Max multipliers to modify confidence zone thickness across freshness spectrum. Impulse decays too quickly : Increase Decay Rate toward 0.99 to sustain impulse readings longer between fresh events. Impulse decays too slowly : Decrease Decay Rate toward 0.8 for faster momentum fade and more frequent band expansion. Unstable volatility scaling : Increase MAD Length to smooth volatility measurement and reduce sensitivity to short-term spikes. Too many retest markers : Increase retest cooldown period (55 bars hardcoded) or increase Signal Buffer Period to space out signals. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with clear momentum phases and directional persistence Instruments with consistent volatility characteristics where MAD scaling normalizes effectively Momentum continuation strategies entering on fresh impulse signals Trend-following approaches benefiting from adaptive confidence measurement Reduced Effectiveness: Choppy, range-bound markets with frequent whipsaw crossovers Extremely low volatility environments where impulse threshold becomes difficult to breach News-driven or gapped markets with discontinuous momentum patterns Mean-reversion dominant conditions where momentum breaches quickly reverse Consolidation and sideways price action where trend-following methodologies inherently struggle due to lack of sustained directional movement Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or traditional trend indicators Freshness Respect : Trust signals occurring during high impulse freshness periods with contracted bands Decay Awareness : Reduce position sizing or tighten stops as impulse decays and bands widen Retest Utilization : Treat inner band retests as continuation confirmation rather than reversal signals State Discipline : Maintain directional bias aligned with current trend state until opposite band breach occurs Disclaimer Impulse Trend Levels is a professional-grade momentum and trend analysis tool. It uses volatility-normalized impulse detection with exponential decay modeling but does not predict future price movements. Results depend on market conditions, volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Pine Script® 인디케이터
BOSWaves의
12
Axis-Pro System | Trend Structure + Fibonacci Pullbacks Axis-Pro System is a comprehensive Trend Following strategy designed to trade high-probability pullbacks. Unlike indicators that merely chase price, this system patiently waits for market structure alignment before seeking an entry. The system is built on the premise of "Quality over Quantity", utilizing volatility and structure filters to avoid choppy markets (ranges) and false breakouts. 🧠 Strategy Logic The system makes decisions based on a strict 4-step hierarchy: Higher Timeframe (HTF) Bias: Analyzes the trend on a higher timeframe to ensure we are trading in the direction of the dominant flow. Structure & BOS (Break of Structure): Identifies clear impulses that break previous highs or lows. Once a BOS is confirmed, the system "arms" the trade and waits. Fibonacci Zone Pullback: It does not chase the breakout. Instead, it waits for a pullback into the "Discount Zone" (Golden Zone, configurable between 0.382 and 0.618) to improve the Risk/Reward ratio. Validation & Trigger: Uses an ATR expansion check to filter out low-volatility periods. Requires candle confirmation and alignment with fast EMAs before pulling the trigger. 🛡️ Risk Management The system incorporates advanced position management using a split execution model (50/50): Dynamic Stop Loss: Automatically calculated using an ATR multiplier or the recent Swing High/Low (whichever offers better protection). TP1 (Take Profit 1): Closes 50% of the position at a fixed R-multiple (e.g., 1.5R) to lock in profit and moves the Stop Loss to Break-Even. TP2 (Runner): The remaining 50% is left to run for higher targets (e.g., 3.0R) or until the trend bends, maximizing gains during strong moves. Trailing Stop: Optional feature to trail price with a fast EMA once the first target is hit. ⚙️ Settings & Features The script is highly customizable for different assets (Crypto, Forex, Indices): Date Range Filter: Includes a date selector to perform precise Backtesting on specific periods (e.g., testing specifically during a Bear Market vs. Bull Market). Auto Trendlines: Automatically draws relevant trendlines for visual support. Quality Filters: Options to toggle the EMA 200 filter and breakout buffers. ⚠️ Disclaimer This strategy is a tool for analysis and backtesting purposes. Past performance does not guarantee future results. It is highly recommended to test the strategy on a Demo account first and adjust parameters according to the volatility of the specific asset being traded. Always use responsible risk management.
Pine Script™ 전략
Fikiss77의