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스크립트에서 "bands"에 대해 찾기

Elastic Volume-Weighted Student-T TensionOverview The Elastic Volume-Weighted Student-T Tension Bands indicator dynamically adapts to market conditions using an advanced statistical model based on the Student-T distribution. Unlike traditional Bollinger Bands or Keltner Channels, this indicator leverages elastic volume-weighted averaging to compute real-time dispersion and location parameters, making it highly responsive to volatility changes while maintaining robustness against price fluctuations. This methodology is inspired by incremental calculation techniques for weighted mean and variance, as outlined in the paper by Tony Finch: 📄 "Incremental Calculation of Weighted Mean and Variance" . Key Features ✅ Adaptive Volatility Estimation – Uses an exponentially weighted Student-T model to dynamically adjust band width. ✅ Volume-Weighted Mean & Dispersion – Incorporates real-time volume weighting, ensuring a more accurate representation of market sentiment. ✅ High-Timeframe Volume Normalization – Provides an option to smooth volume impact by referencing a higher timeframe’s cumulative volume, reducing noise from high-variability bars. ✅ Customizable Tension Parameters – Configurable standard deviation multipliers (σ) allow for fine-tuned volatility sensitivity. ✅ %B-Like Oscillator for Relative Price Positioning – The main indicator is in form of a dedicated oscillator pane that normalizes price position within the sigma ranges, helping identify overbought/oversold conditions and potential momentum shifts. ✅ Robust Statistical Foundation – Utilizes kurtosis-based degree-of-freedom estimation, enhancing responsiveness across different market conditions. How It Works Volume-Weighted Elastic Mean (eμ) – Computes a dynamic mean price using an elastic weighted moving average approach, influenced by trade volume, if not volume detected in series, study takes true range as replacement. Dispersion (eσ) via Student-T Distribution – Instead of assuming a fixed normal distribution, the bands adapt to heavy-tailed distributions using kurtosis-driven degrees of freedom. Incremental Calculation of Variance – The indicator applies Tony Finch’s incremental method for computing weighted variance instead of arithmetic sum's of fixed bar window or arrays, improving efficiency and numerical stability. Tension Calculation – There are 2 dispersion custom "zones" that are computed based on the weighted mean and dynamically adjusted standard student-t deviation. %B-Like Oscillator Calculation – The oscillator normalizes the price within the band structure, with values between 0 and 1: * 0.00 → Price is at the lower band (-2σ). * 0.50 → Price is at the volume-weighted mean (eμ). * 1.00 → Price is at the upper band (+2σ). * Readings above 1.00 or below 0.00 suggest extreme movements or possible breakouts. Recommended Usage For scalping in lower timeframes, it is recommended to use the fixed α Decay Factor, it is in raw format for better control, but you can easily make a like of transformation to N-bar size window like in EMA-1 bar dividing 2 / decayFactor or like an RMA dividing 1 / decayFactor. The HTF selector catch quite well Higher Time Frame analysis, for example using a Daily chart and using as HTF the 200-day timeframe, weekly or monthly. Suitable for trend confirmation, breakout detection, and mean reversion plays. The %B-like oscillator helps gauge momentum strength and detect divergences in price action if user prefer a clean chart without bands, this thanks to pineScript v6 force overlay feature. Ideal for markets with volume-driven momentum shifts (e.g., futures, forex, crypto). Customization Parameters Fixed α Decay Factor – Controls the rate of volume weighting influence for an approximation EWMA approach instead of using sum of series or arrays, making the code lightweight & computing fast O(1). HTF Volume Smoothing – Instead of a fixed denominator for computing α , a volume sum of the last 2 higher timeframe closed candles are used as denominator for our α weight factor. This is useful to review mayor trends like in daily, weekly, monthly. Tension Multipliers (±σ) – Adjusts sensitivity to dispersion sigma parameter (volatility). Oscillator Zone Fills – Visual cues for price positioning within the cloud range. Posible Interpretations As market within indicators relay on each individual edge, this are just some key ideas to glimpse how the indicator could be interpreted by the user: 📌 Price inside bands – Market is considered somehow "stable"; price is like resting from tension or "charging batteries" for volume spike moves. 📌 Price breaking outer bands – Potential breakout or extreme movement; watch for reversals or continuation from strong moves. Market is already in tension or generating it. 📌 Narrowing Bands – Decreasing volatility; expect contraction before expansion. 📌 Widening Bands – Increased volatility; prepare for high probability pull-back moves, specially to the center location of the bands (the mean) or the other side of them. 📌 Oscillator is just the interpretation of the price normalized across the Student-T distribution fitting "curve" using the location parameter, our Elastic Volume weighted mean (eμ) fixed at 0.5 value. Final Thoughts The Elastic Volume-Weighted Student-T Tension indicator provides a powerful, volume-sensitive alternative to traditional volatility bands. By integrating real-time volume analysis with an adaptive statistical model, incremental variance computation, in a relative price oscillator that can be overlayed in the chart as bands, it offers traders an edge in identifying momentum shifts, trend strength, and breakout potential. Think of the distribution as a relative "tension" rubber band in which price never leave so far alone. DISCLAIMER: The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The following indicator was made for NON LUCRATIVE ACTIVITIES and must remain as is, following TradingView's regulations. Use of indicator and their code are published for work and knowledge sharing. All access granted over it, their use, copy or re-use should mention authorship(s) and origin(s). WARNING NOTICE! THE INCLUDED FUNCTION MUST BE CONSIDERED FOR TESTING. The models included in the indicator have been taken from open sources on the web and some of them has been modified by the author, problems could occur at diverse data sceneries, compiler version, or any other externality.
Pine Script® 인디케이터
xel_arjona의
26
FRAMA Channel [BigBeluga]This is a trend-following indicator that utilizes the Fractal Adaptive Moving Average (FRAMA) to create a dynamic channel around the price. The FRAMA Channel helps identify uptrends, downtrends, and ranging markets by examining the relationship between the price and the channel's boundaries. It also marks trend changes with arrows, optionally displaying either price values or average volume at these key points. 🔵 IDEA The core idea behind the FRAMA Channel indicator is to use the fractal nature of markets to adapt to different market conditions. By creating a channel around the FRAMA line, it not only tracks price trends but also adapts its sensitivity based on market volatility. When the price crosses the upper or lower bands of the channel, it signals a potential shift in trend direction. If the price remains within the channel and crosses over the upper or lower bands without a breakout, the market is likely in a ranging phase with low momentum. This adaptive approach makes the FRAMA Channel effective in both trending and ranging market environments. 🔵 KEY FEATURES & USAGE ◉ Dynamic FRAMA Channel with Trend Signals: The FRAMA Channel uses a fractal-based moving average to create an adaptive channel around the price. When the price crosses above the upper band, it signals an uptrend and plots an upward arrow with the price (or average volume) value. Conversely, when the price crosses below the lower band, it signals a downtrend and marks the point with a downward arrow. This dynamic adaptation to market conditions helps traders identify key trend shifts effectively. ◉ Ranging Market Detection: If the price remains within the channel, and only the high crosses the upper band or the low crosses the lower band, the indicator identifies a ranging market with low momentum. In this case, the channel turns gray, signaling a neutral trend. This is particularly useful for avoiding false signals during periods of market consolidation. ◉ Color-Coded Candles and Channel Bands: Candles and channel bands are color-coded to reflect the current trend direction. Green indicates an upward trend, blue shows a downward trend, and gray signals a neutral or ranging market. This visual representation makes it easy to identify the market condition at a glance, helping traders make informed decisions quickly. ◉ Customizable Display of Price or Average Volume: On trend change signals, the indicator allows users to choose whether to display the price at the point of trend change or the average volume of 10 bars. This flexibility enables traders to focus on the information that is most relevant to their strategy, whether it's the exact price entery or the volume context of the market shift. Displaying the average volume allows to see the strength of the trend change. Price Data: Average Volume of points: 🔵 CUSTOMIZATION Length & Bands Distance: Adjust the length for the FRAMA calculation to control the sensitivity of the channel. A shorter length makes the channel more reactive to price changes, while a longer length smooths it out. The Bands Distance setting determines how far the bands are from the FRAMA line, helping to define the breakout and ranging conditions. Signals Data: Choose between displaying the price or the average volume on trend change arrows. This allows traders to focus on either the exact price level of trend change or the market volume context. Color Settings: Customize the colors for upward momentum, downward momentum, and neutral states to suit your charting preferences. You can also toggle whether to color the candles based on the momentum for a clearer visual of the trend direction. The FRAMA Channel indicator adapts to market conditions, providing a versatile tool for identifying trends and ranging markets with clear visual cues.
Pine Script® 인디케이터
BigBeluga의
34
MACD BB v2.00 Indicator CryptoPotato748The MACD BB v2.00 CryptoPotato748 is a custom technical analysis indicator for TradingView that combines the Moving Average Convergence Divergence (MACD) with Bollinger Bands to provide a powerful tool for identifying trend strength and potential trading signals. This indicator is designed to automatically adapt its parameters based on the selected time frame, making it versatile and suitable for various trading strategies and time horizons. Features MACD Calculation: The MACD line is calculated using the difference between the 12-period and 26-period Exponential Moving Averages (EMAs). The Signal line is the 9-period EMA of the MACD line. These parameters automatically adjust based on the selected time frame to optimize performance. Bollinger Bands: Bollinger Bands are calculated based on the MACD line to identify overbought and oversold conditions. The bands consist of a 20-period Simple Moving Average (SMA) of the MACD line, with upper and lower bands set 2 standard deviations away. These parameters also adjust based on the selected time frame for better alignment with market conditions. Adaptive Time Frames: The indicator automatically adjusts its MACD and Bollinger Bands parameters based on the selected chart time frame, including 1 minute, 3 minutes, 5 minutes, 15 minutes, 30 minutes, 1 hour, 2 hours, 4 hours, 12 hours, 1 day, 3 days, 1 week, and 1 month. This ensures the indicator remains effective across various time frames without manual reconfiguration. Visual Elements: The upper and lower Bollinger Bands are plotted in gray, with a blue fill between them for easy visualization. The MACD line is plotted with circle markers, colored lime when above the upper band and red when below the lower band. A zero line is plotted in orange for reference. Bar colors change to yellow when the MACD line is above the upper band (indicating a potential buy signal) and aqua when below the lower band (indicating a potential sell signal). How to Use Adding to Chart: Copy and paste the script into the Pine Editor on TradingView. Click "Add to Chart" to see the indicator in action. Interpreting Signals: MACD Above Upper Band (Lime): Indicates strong bullish momentum, potential buy signal. MACD Below Lower Band (Red): Indicates strong bearish momentum, potential sell signal. Yellow Bars: Suggest a potential buy condition. Aqua Bars: Suggest a potential sell condition. Adaptive Parameters: The indicator automatically adjusts its parameters based on the selected time frame, ensuring optimal performance across different trading environments.
Pine Script® 인디케이터
CryptoPotato748의
Trend Direction & Levels IdentifierOverview : Trend Direction & Levels Identifier (TDLI) provides you with two lines - Resistance/Support line (RSLine) and Trend Line. These two lines form a channel which is filled with a colour showing current market direction, which also prints Bullish or Bearish text. Trend Line calculation is similar but follows different approach than Super Trend indicator. RSLine calculation is done using EMA and dynamic ATR. How does this work? Firstly understand Supertrend - The Supertrend indicator is a freely available technical analysis tool that helps traders identify the direction of the trend . It is based on the concept of volatility, and it provides a simple way to identify whether the current market trend is bullish or bearish. Here's a basic explanation of the Supertrend indicator's logic and how it is commonly used: Supertrend Indicator Logic: Calculation of Average True Range (ATR) : The first step involves calculating the Average True Range (ATR) over a specified period. ATR measures market volatility by considering the average range between the high and low prices over a given number of periods. Multiplier Factor : A multiplier factor is then applied to the ATR. The multiplier is usually set by the trader or analyst and determines the sensitivity of the Supertrend to changes in volatility. Calculation of Upper and Lower Bands:The Supertrend indicator calculates two bands - an upper band and a lower band. Upper Band (UB) = High price - (Multiplier * ATR) Lower Band (LB) = Low price + (Multiplier * ATR) Determining Trend Direction : If the current market price is above the Upper Band, the Supertrend suggests a bearish trend (sell signal). If the current market price is below the Lower Band, the Supertrend suggests a bullish trend (buy signal). Now, Let's understand how we use this logic with some modification to build our Trend line - Let's break down the key differences: 1. Calculation of Trend Switch Points: - Supertrend: The Supertrend indicator primarily relies on the Average True Range (ATR) to calculate the volatility of the market. It then determines trend direction based on whether the closing price is above or below the Supertrend line. - Our Trend: We use a modified ATR for volatility measurement (ATR / x), our code introduces modifications in the calculation of trend switch points. It incorporates moving averages (SMA - Simple Moving Averages) to define high and low prices, adding a dynamic element to the identification of trend reversal points. 2. Trend States and Switch Logic: - Supertrend: The Supertrend generally has two states: uptrend or downtrend. It switches its state when the closing price crosses the Supertrend line. - Our Trend: Our code introduces an additional variable, which is not binary (0 or 1) but rather represents the state of the trend (0 for uptrend, 1 for downtrend). The indicator uses a more complex logic involving previous trend states and moving averages to determine trend switches. So, our trend line incorporates additional elements such as moving averages, dynamic amplitude, and channel deviation to modify the Supertrend logic and provide a more nuanced and visually informative representation of market trends. These modifications offer traders more flexibility in adapting the indicator to different market conditions and trading preferences. Remember the underlying logic is of Supertrend which is freely available to all. Another line is RSLine, lets dive into its logic and calculation - Average True Range (ATR) Calculation : Calculates the Average True Range, a measure of market volatility. The ATR can be dynamically adjusted based on user preference. Chande Momentum Oscillator (CMO) and Variable (VAR) Calculation : Calculates the CMO, which measures momentum, and uses it to compute the VAR value. This introduces an adaptive element to the indicator. Other Moving Averages : Calculates various moving averages, including Wilder's Moving Average (WWMA), Zero-Lag Exponential Moving Average (ZLEMA), and Time Series Forecast (TSF), providing different perspectives on trend direction. Main Moving Average (MAvg) Calculation : Computes the main moving average based on EMA and length. Stop Level Calculation : Determines stop levels for both long and short positions. The levels are influenced by the moving average (MAvg) and ATR, with an option to normalize them. The Stop Levels forms the RSLine which acts as either resistance or support based on market direction. Lets see how the indicator tells you probable market direction - Direction Identification : Identifies the current trend direction (uptrend or downtrend) based on the relationship between the moving average and the previous stop level. It also prints Bullish or Bearish on chart based on crossovers and crossunders between the Trend Line and the RSLine. Fill Coloring for Highlighting : It Fills the area between the Trend Line and RSLine with either green or red color to visually emphasize the trend direction. The colors change based on whether the Trend Line and MAvg is above or below the stop levels. So there are 3 major things - 1. RSLine - Uses EMA and dynamic ATR to calculate stop levels. This acts as support or resistance to current trend. It is always red in colour. 2. Trend Line - Unlike Super Trend this Trend Line calculation uses a combination of highest high, lowest low, and EMA of a fixed range of candles to determine trend changes. It uses a fixed amplitude for calculating the highest high, lowest low, and EMA values, but it doesn't incorporate dynamic volatility adjustments like ATR. Its colour varies from red to green based on calculation. 3. Channel Colour - Channel colour is decided based on crossover of Trend Line and RSLine, if Trend Line crosses RSLine from bottom then channel colour becomes green, similarly red colour is calculated. How to use this? Refer this snapshot for content below - 1. Once a crossover happens between Trend Line and RSLine, bullish / bearish text is printed with change in colour of channel. RSLine acts as support/resistance. 2. Look for colour of Trend Line - when it matches channel colour, it means favourable direction is that colour (green - long, red - short) 3. Remember any ongoing trend can reverse any second, so follow price action for better results. Preferred Timeframe : It works best in 5 minute timeframe, but can also be used in other time frames. Reason to use these two lines ? The Trend Line tells current trend direction using a line which keeps changing colours, for double confirmation we use the RSline and channel colour which is calculated using Trend line and RSLine crossover. When both Trend line and RSLine channel colour is same that gives a more solid confirmation (not 100%) of a trend Why it is worth paying for : As mentioned earlier this indicator is built over freely available Supertrend and EMA indicators. The modifications which we have done for better calculation and visualisation makes it worth. The indicator may be considered valuable for traders who appreciate a visual representation of market trend direction and important stop levels. Normal indicators like supertrend just shows a line which gives you idea about the trend but our indicator apart from telling trend direction tells important levels and provide a channel filled with current trend direction significance which helps in following trend precisely. 1. The customization options and visual clarity could enhance decision-making for those who prefer a more tailored approach. 2. Traders willing to pay for this indicator may find it useful in complementing their existing analysis and strategy. Although one should understand using premium indicator doesnt mean it will generate magic results, if you know price action and risk management properly then only consider trying our indicator else practice trading on free indicators first. IMPORTANT : As Stock markets are dynamic in nature, no indicator is a magic indicator which will give you 100% accurate results on one click. You still have to use price action for best results. DISCLAIMER : This indicator isn't a get rich quick scheme, neither it can provide 100% accurate results. It is meant to be used as an aid to Price Action Trading and proper risk management.
Pine Script® 인디케이터
LossBros의
The Ultimate Buy and Sell IndicatorThis indicator should be used in conjunction with a solid risk management strategy that does not over-leverage positions and uses stop-losses. You can not rely 100% on the signals provided by this indicator (or any other for that matter). With that said, this indicator can provide some excellent signals. It has been designed with a large number of customization options intended for advanced traders, but you do not HAVE to be an advanced user to simply use the indicator. I have tried to make it easy to understand, and this section will provide you with a better understanding of how to use it. NOTE: While NOT REQUIRED, I would recommend also finding my indicator called, "Ultimate RSI", which is designed to work together with this indicator (visually). They both contain the same settings and allow you to visualize changes made in this indicator that can not be displayed on the main chart. This indicator creates it's own candles(bars), so you have to go into your main settings and turn off the "body, border and wick" color settings. Using a dark background is also recommended. How does it work? The indicator mainly relies on the RSI indicator with Bollinger Bands for signals. (Though not entirely) First, there are something that I call "Watch Signals", which are various Bollinger Band crossing events. This could be the price crossing Bollinger Bands or the RSI crossing Bollinger Bands. There are separate watch signals for buys and sells. Buy watch signals are colored orange to match the BUY signal candle color and Fuchsia (kind of a bright purple) to match SELL signal candles. In order for most buy or sell signals to be created, there must first be a watch signal. There is a lookback period (or length) for watch signals to be used, and after that many candles (bars) have passed, they will be ignored. You can set a length to look back as well as a time to wait before creating any. What this means is that if there has previously been (for instance) a sell signal. You can tell it to wait 10 bars before creating any buy watch signals. You can then also tell it that it should look back 10 bars from the current one in order to find any buy watch signals. This means that if you had it set up that way 10 to wait and 10 to validate, it would start allowing buy watch signals 11 bars after a sell, and then once you hit 20 bars, it will start leaving a gap (invisible to you) as the 10 bar lookback period starts moving forward with each new bar. This is useful in order to keep signals more spaced apart as some bad signals come quickly after another one. Example: You may get a sell signal where the Bollinger bands are tight, then the price easily drops down into the lower band creating a buy watch signal, then you get a "fake" or short pump up and it says buy, but then drops dramatically afterwards. The wait period can ensure that the sell stays in effect longer before a buy is considered by blocking any buy watch signals for a period of time. After you get a watch signal, the system then looks for various other things to happen to create buy or sell signals. This could be the RSI crossing the (slow) RSI Basis line (from its Bollinger bands), it could be the price crossing its basis line, it could be MACD crosses, it could even be RSI crossing certain levels. All of these are options. If you like the MACD strategy and want it to give you buy and sell signals from just MACD crosses, simply select that option for signals. It is also able to use the first of any of the options that takes place. I included an option to force alternating buy and sell signals, rather than showing groups of, or subsequent buy, buy, buy signals, for instance. Moving on.... You can change the moving average that is used to calculate the RSI. The standard moving average for RSI is the RMA (aka SWMA). Changes to this can dramatically change your signals. You also have the option to change the moving average type used in the Bollinger bands calculation. You can change the length of these as well. The same goes for the Bollinger bands over the Price chart. I added an ATR option for the RSI Bollinger bands to play with, as well. You are able to adjust the standard deviation (multiplier) of the bands as well, which will of course affect the signals. The ways you can play with signals are nearly infinite, so have fun figuring it out. The indicator allows for moving averages to be shown as well, with a variety of types to choose from. The standard numbers are 5, 10, 20, 50, 100 and 200, with the addition of a custom moving average of your choice. You can also change the color of this one. You can choose to show them all or any of them you want to show, in any combination, although the TYPE of moving average (SMA, EMA, WMA, etc.) will apply to all of them. You may also notice the Bollinger Bands over the Price are colored, and become more or less transparent. The color is derived from the trend of the RSI or the RSI basis (your choice). It looks back at the value however many bars you want and compares the values and that's how it determines if it is trending up or down. Since RSI is a directional momentum indicator, this can be quite useful. If you see the bands are getting darker, this will explain why. The indicator has a lookback period for determining the widest the bands (which measure volatility) have been over that period of time. This is the baseline. It then will make the bands disappear (by making them more transparent) if the volatility is low. This indicates that a change in volatility is coming and that price isn't really changing much compared to the past (default 500) bars. If they become bright, this is because price has started trending in a direction and volatility is increasing. I should also note that the candles are colored based on RSI levels. If you use the Ultimate Companion indicator, you will be able to see the RSI levels (zones) that the colors are based on. As RSI moves into a new range, the candle color will change. I have created a yellow zone where the candles turn yellow. This is when RSI is between (default) 45 and 55, indicating there is basically no momentum and price is going sideways. This is a good place to get trapped in bad trades, and there is a Yellow RSI Filter to block signals in this area to keep you from entering bad trades. Green candles indicate values over 55 (getting brighter as RSI rises) and red candles are RSI values under 45 (getting brighter as RSI values get lower). If you see white, this means RSI is either over 80 or under 20. A sharp reversal is almost always imminent at this stage. When we talk about Buy and Sell Signals, they draw a green or red triangle and it literally says BUY or SELL. There is an option to color the background for added visibility. These signals do not "repaint", what this means is that they can be late. To account for this, I have included a background color that will flash as a warning that a buy or sell could be imminent, although it may fail to break through and set a buy or sell signal. This is simply an advanced warning. The reason is that sometimes a candle may be very large and you won't be told to buy or sell during the candle until the move is completely over and now you're getting in on the next one. That's not a great feeling, so I made it repaint the background color and not repaint the completed signal. You get the best of both worlds. This indicator also uses complex logic to handle things. When there is a buy signal, it enters into a state of having been bought, or a "bought state". The same for sells. If Force alternating signals is off, you could have more than one buy in a bought state, or more than one sell in a sell state. There is an option to color the background green during the full duration of a bought state, or red during the full duration of a sold state. I have added divergence. This shows that the lows or highs of RSI and PRICE are different. If RSI is making higher highs but the price is not, then the price is likely to follow this bullish divergence, if the opposite happens, it's bearish. It will draw a line on the chart connecting the highs and lows and call it bearish or bullish. You can adjust this as well. I have an RSI High/Low filter. If the RSI basis (or average) is very high or low, you can block signal from this area since the price is likely to continue in that direction before actually reversing. You can change the settings of the MACD if you choose to use it for signals, and if you want to see it, you'll have to run that indicator below the chart and match the settings to see what is going on, just like the RSI. Going back to Watch Signals. You can also choose to require more than one watch signal if you choose. You can skip watch signals, so it will ignore the first or second one, whatever you want to do. You can color the background to show you where watch signals have been skipped. Regarding the wait period for creating watch signals after a sell or after a buy, you can also color the background to see where these were blocked by the wait period. Lastly you can choose which type of watch signals to use, or keep them from being shown on the chart. This allows you to study the history of how the asset you are trading behaves and customize the behavior of signals based on your study of it. Everything in the settings area has tooltips, which will explain what that thing does to help you along this journey. I hope this indicator (and perhaps Ultimate RSI alongside this) will help you take your trading to the next level.
Pine Script® 인디케이터
Sherlock_MacGyver의
91
TrendCylinder (Expo)█ Overview The TrendCylinder is a dynamic trading indicator designed to capture trends and volatility in an asset's price. It provides a visualization of the current trend direction and upper and lower bands that adapt to volatility changes. By using this indicator, traders can identify potential breakouts or support and resistance levels. While also gauging the volatility to generate trading ranges. The indicator is a comprehensive tool for traders navigating various market conditions by providing a sophisticated blend of trend-following and volatility-based metrics. █ How It Works Trend Line: The trend line is constructed using the closing prices with the influence of volatility metrics. The trend line reacts to sudden price changes based on the trend factor and step settings. Upper & Lower Bands: These bands are not static; they are dynamically adjusted with the calculated standard deviation and Average True Range (ATR) metrics to offer a more flexible, real-world representation of potential price movements, offering an idea of the market's likely trading range. █ How to Use Identifying Trends The trend line can be used to identify the current market trend. If the price is above the trend line, it indicates a bullish trend. Conversely, if the price is below the trend line, it indicates a bearish trend. Dynamic Support and Resistance The upper and lower bands (including the trend line) dynamically change with market volatility, acting as moving targets of support and resistance. This helps set up stop-loss or take-profit levels with a higher degree of accuracy. Breakout vs. Reversion Strategies Price movements beyond the bands could signify strong trends, making it ideal for breakout strategies. Fakeouts If the price touches one of the bands and reverses direction, it could be a fakeout. Traders may choose to trade against the breakout in such scenarios. █ Settings Volatility Period: Defines the look-back period for calculating volatility. Higher values adapt the bands more slowly, whereas lower values adapt them more quickly. Trend Factor: Adjusts the sensitivity of the trend line. Higher values produce a smoother line, while lower values make it more reactive to price changes. Trend Step: Controls the pace at which the trend line adjusts to sudden price movements. Higher values lead to a slower adjustment and a smoother line, while lower values result in quicker adjustments. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Pine Script® 인디케이터
Zeiierman의
13
Williams %R with EMA'sThe provided Pine Script code presents a comprehensive technical trading strategy on the TradingView platform, incorporating the Williams %R indicator, exponential moving averages (EMAs), and upper bands for enhanced decision-making. This strategy aims to help traders identify potential buy and sell signals based on various technical indicators, thereby facilitating more informed trading decisions. The key components of this strategy are as follows: **Williams %R Indicator:** The Williams %R, also known as the "Willy," is a momentum oscillator that measures overbought and oversold conditions. In this code, the Williams %R is calculated with a user-defined period (default 21) and smoothed using an exponential moving average (EMA). **Exponential Moving Averages (EMAs):** Two EMAs are computed on the Williams %R values. The "Fast" EMA (default 8) responds quickly to price changes, while the "Slow" EMA (default 21) provides a smoother trend-following signal. Crossovers and divergences between these EMAs can indicate potential buy or sell opportunities. **Candle Color Detection:** The code also tracks the color of candlesticks, distinguishing between green (bullish) and red (bearish) candles. This information is used in conjunction with other indicators to identify specific trading conditions. **Additional Upper Bands:** The script introduces upper bands at various levels (-5, -10, -20, -25) to create zones for potential buy and sell signals. These bands are visually represented on the chart and can help traders gauge the strength of a trend. **Alert Conditions:** The code includes several alert conditions that trigger notifications when specific events occur, such as %R crossing certain levels, candle color changes within predefined upper bands, and EMA crossovers. **Background Highlighting:** The upper bands and the zero line are visually highlighted with different colors, making it easier for traders to identify critical price levels. This code is valuable for traders seeking a versatile technical strategy that combines multiple indicators to improve trading decisions. By incorporating the Williams %R, EMAs, candlestick analysis, and upper bands, it offers a holistic approach to technical analysis. Traders can customize the parameters to align with their trading preferences and risk tolerance. The use of alerts ensures that traders are promptly notified of potential trade setups, allowing for timely execution and risk management. Overall, this code serves as a valuable tool for traders looking to make more informed decisions in the dynamic world of financial markets.
Pine Script® 인디케이터
KingForexBob의
[CBB] Volatility Squeeze ToyThe main concept and features of this script are adapted from Mark Whistler's book "Volatility Illuminated". I have deviated from the use cases and strategies presented in the book, but the 3 Bollinger Bands use his optimized settings as the default length and standard deviation multiplier. Further insights into Mark's concepts and volatility research were gained by reading and watching some of TV user DadShark's materials (www.tradingview.com). This script has been through many refinements and feature cycles, and I've added unrelated complimentary features not present in the book. The indicator is better studied than described, and unless you have read the book, any short summary of the material will just make you squint and think about the wrong things. Here is a limited outline of features and concepts: 1. 3 Bollinger Bands of different length and/or deviation multiplier. Perhaps think of them as representing the various time frames that compression and expansion cycles and events manifest in, and also the expression of range, speed and price distribution within those time frames. You can gain insight into the magnitude of events based on how the three bands interact and stay contained, or not. If volatility is significant enough, all "time frames" represented by the bands will eventually record the event and subsequent price action, but the early signals will come from the spasms of the shortest, most volatile band. Many times the short band will contract again before, or just as it reaches a longer band, but in extreme cases, volatility will explode and all bands at all time frames will erupt in succession. In these cases you will see additional color representing shorter bands (lower time frame volatility in concept) traveling outside of longer bands. It is worth taking a look at the price levels and candles where these volatility bands cross each other. 2. In addition to the mean of the bands, there are a variety of other moving averages available to gauge trend, range, and areas of interest. This is accomplished with variable VWAP, ATR, smoothing, and a special derived loosely from the difference between them. 3. The bands are also used to derive conditions under which volatility is considered compressed, or in "squeeze" . Under these conditions the candles will turn yellow. Depending on your chart settings and indicator settings, these zones can be completely useless or drag on through fairly significant price action. Or, the can give you fantastic levels to watch for breakouts. The point is that volatility is compressed during these conditions, and you should expect the inevitable once this condition ends. Sometimes you can find yourself in a nice fat trend straight away, other times you may blow an account because you gorged your position based on arbitrary bar color. It's not like that. Pay attention to the highest and lowest bars of these squeeze ranges, and carefully observe future price action when it returns to these squeeze ranges. This info is more and more valuable at higher time frames. The 3 bands, a smoothed long trend VWAP, and the squeeze condition colored bars are all active by default. All features can be shown or hidden on the control panel. There are some deep market insights to mine if you live with this one for a while. As with any indicator, blunt "buy/sell here" approaches will lead to loss and frustration. however , if you pay attention to squeeze range, band/moving average confluence, high volume and/or large range candles their open/close behavior around these areas and squeeze ranges, you will start to catch the beginning of some powerful momentum moves. Enjoy!
Pine Script® 인디케이터
bright_infinite의
5
HPAS – Historical Price Action StatisticsHPAS – Historical Price Action Statistics (v7) A data-driven overview of weekday behavior: price, volatility, and volume. 1) OVERVIEW HPAS analyzes how each weekday behaves across your selected history. It aggregates daily returns, intraday ranges, and volumes into a compact heatmap table and optionally plots daily range bands (historical & today) on the chart. Note: All weekday statistics are calculated using UTC-based daily candles for consistent results across markets (especially 24/7 assets like crypto). The goal is context and probabilities — not signals. 2) HOW IT WORKS Collects daily bar stats: % gain/loss (close vs open), intraday range ((High−Low) ÷ Open × 100), and contracts (volume). Groups data by weekday (Sun–Sat) and computes: win/loss frequencies, average and max moves, average intraday ranges, and average volume. Note: “Weekday” refers to the calendar day in UTC time . This ensures consistency across all assets and exchanges, particularly for 24/7 markets like crypto. Compares average weekday volume to the current 20-day average (% of 20D). Displays results in a color-shaded table; optionally draws historical daily range bands plus today’s projection with optional smoothing. 3) INCLUDED FEATURES Core metrics Total → Gain / Loss (% of Days): How often the day closes above/below open. Closing → Avg / Max: Average and largest daily % moves up/down. Intrabar (optional) → Avg / Max: Typical and extreme intraday % ranges. Contracts → Avg (K): Average daily volume (shown in thousands). Contracts → %20D: Weekday’s average volume as % of the current 20-day average. Visualization & UX Heatmap coloring: lower values appear darker; higher values lighter. Current weekday highlight with a left-side triangle. Tooltips on headers explain what/why/how. Dark/Light theme support; Colorblind-safe palette toggle (Okabe–Ito). Projection Bands Plots historical daily range bands and today’s projected band. Optional smoothing (SMA) for cleaner band movement. Band Smoothing Explained: Applies a simple moving average over recent projection values to reduce sudden jumps in the upper/lower bands. Higher values make the range lines steadier but slower to react; lower values show more real-time variability. 4) USAGE TIPS Context, not prediction: Use stats to frame expectations, not to force trades. Cycle awareness: Compare long vs short date windows; behavior can shift across regimes. Volume tells a story: Elevated %20D can hint at increased participation or attention on certain weekdays. Targets & risk: Range bands provide realistic context for sizing stops/targets. Accessibility: Enable Colorblind-safe mode if red/green contrast is hard to read. 5) INTERPRETATION GUIDE % Gain / % Loss — Frequency of up/down closes. Higher % Gain suggests a bullish weekday bias. Avg Gain / Avg Loss — Mean daily % move on green/red days. Gauges typical magnitude. Max Gain / Max Loss — Largest observed daily % change. Sets an upper bound of past extremes. Hi-Lo Avg / Max — Typical and extreme intraday % ranges. Context for expected volatility. Contracts Avg (K) — Average daily volume in thousands. Participation proxy. %20D — Volume vs current 20-day average. 100% = typical, >100% = above-normal, <100% = lighter-than-normal. 6) CREDITS Inspired by the HPAS concept popularized by Krown Trading and The Caretaker. Rebuilt and extended for clarity, accessibility, and practical context. Version: v7 (October 2025) License: Educational, non-commercial use Key Inputs (snippet) // Projection Bands grpBands = “Projection Bands” showBands = input.bool(true, “Show daily range bands (historical & today)”, group=grpBands) smoothLen = input.int(1, “Band smoothing (days)”, minval=1, maxval=20, group=grpBands)
Pine Script® 인디케이터
RiccoNewman의
ATR Volatility and Trend AnalysisATR Volatility and Trend Analysis Unlock the power of the Average True Range (ATR) with the ATR Volatility and Trend Analysis indicator. This comprehensive tool is designed to provide traders with a multi-faceted view of market dynamics, combining volatility analysis, dynamic support and resistance levels, and trend detection into a single, easy-to-use indicator. How It Works The ATR Volatility and Trend Analysis indicator is built upon the core concept of the ATR, a classic measure of market volatility. It expands on this by providing several key features: Dynamic ATR Bands: The indicator plots three sets of upper and lower bands around the price. These bands are calculated by multiplying the current ATR value by user-defined multipliers. They act as dynamic support and resistance levels, widening during volatile periods and contracting during calm markets. Volatility Breakout Signals: Identify potential breakouts with precision. The indicator generates a signal when the current ATR value surges above its own moving average by a specified threshold, indicating a significant increase in volatility that could lead to a strong price move. Trend Detection: The indicator determines the market trend by analyzing both price action and ATR behavior. A bullish trend is signaled when the price is above its moving average and volatility is increasing. Conversely, a bearish trend is signaled when the price is below its moving average and volatility is increasing. How to Use the ATR Multi-Band Indicator Identify Support and Resistance: Use the ATR bands as key levels. Price approaching the outer bands may indicate overbought or oversold conditions, while a break of the bands can signal a strong continuation. Confirm Breakouts: Look for a volatility breakout signal to confirm the strength behind a price move. A breakout from a consolidation range accompanied by a volatility signal is a strong indicator of a new trend. Trade with the Trend: Use the background coloring and trend signals to align your trades with the dominant market direction. Enter long positions during confirmed bullish trends and short positions during bearish trends. Set Up Alerts: The indicator includes alerts for band crosses, trend changes, and volatility breakouts, ensuring you never miss a potential trading opportunity. What makes it different? While many indicators use ATR, the ATR Volatility and Trend Analysis tool is unique in its integration of multiple ATR-based concepts into a single, cohesive system. It doesn't just show volatility; it interprets it in the context of price action to deliver actionable trend and breakout signals, making it a complete solution for ATR-based analysis. Disclaimer This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management. Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Pine Script® 인디케이터
dchunt-stack의
4
VIX Implied MovesKey Features: Three Timeframe Bands: Daily: Blue bands showing ±1σ expected move Weekly: Green bands showing ±1σ expected move 30-Day: Red bands showing ±1σ expected move Calculation Methodology: Uses VIX's annualized volatility converted to specific timeframes using square root of time rule Trading day convention (252 days/year) Band width = Price × (VIX/100) ÷ √(number of periods) Visual Features: Colored semi-transparent backgrounds between bands Progressive line thickness (thinner for shorter timeframes) Real-time updates as VIX and ES prices change Example Calculation (VIX=20, ES=5000): Daily move = 5000 × (20/100)/√252 ≈ ±63 points Weekly move = 5000 × (20/100)/√50 ≈ ±141 points Monthly move = 5000 × (20/100)/√21 ≈ ±218 points This indicator helps visualize expected price ranges based on current volatility conditions, with wider bands indicating higher market uncertainty. The probabilistic ranges represent 68% confidence levels (1 standard deviation) derived from options pricing.
Pine Script® 인디케이터
Marruq의
Fib BB on VWMA*ATRThis TradingView Pine Script is designed to plot Fibonacci Bollinger Bands on a Volume Weighted Moving Average (VWMA) using the Average True Range (ATR). The script takes a higher timeframe (HTF) approach, allowing traders to analyze price action and volatility from a broader market perspective. 🔹 How It Works Higher Timeframe Data Integration Users can select a specific timeframe to calculate the VWMA and ATR. This allows for a more macro perspective, avoiding the noise of lower timeframes. Volume Weighted Moving Average (VWMA) Unlike the Simple Moving Average (SMA), VWMA gives higher weight to price movements with larger volume. Calculation Formula: 𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒 Since VWMA accounts for volume, it is more reactive to price zones with high buying or selling activity, making it useful for identifying liquidity zones. ATR-Based Fibonacci Bollinger Bands The Average True Range (ATR) is used to measure market volatility. Instead of standard deviation-based Bollinger Bands, Fibonacci multipliers (2.618, 3.0, 3.414) are applied to ATR. These bands adjust dynamically with market volatility. 🔹 Key Findings from Exploration Through testing and analysis, this indicator seems to effectively detect supply and demand zones, particularly at the Fibonacci levels of 2.618 to 3.414. Price frequently reacts at these bands, indicating that they capture key liquidity zones. Potential Order Block Detection: The ends of the Fibonacci Bollinger Bands (especially at 2.618, 3.0, and 3.414) tend to align with order blocks—areas where institutional traders previously accumulated or distributed positions. This is particularly useful for order flow traders who focus on unfilled institutional orders. 🔹 How to Use This Indicator? Identifying Order Blocks When price reaches the upper or lower bands, check if there was a strong reaction (rejection or consolidation). If price rapidly moves away from a band, that level might be an order block. Spotting Liquidity Pools VWMA’s nature enhances liquidity detection since it emphasizes high-volume price action. If a price level repeatedly touches the band without breaking through, it suggests institutional orders may be absorbing liquidity there. Trend Confirmation If VWMA is trending upwards and price keeps rejecting the lower bands, it confirms a strong bullish trend. Conversely, constant rejection from the upper bands suggests a bearish market. This script is designed for open-source publication and offers traders a refined approach to detecting order blocks and liquidity zones using Fibonacci-based volatility bands. 📌 한글 설명 (상세 설명) 이 트레이딩뷰 파인스크립트는 거래량 가중 이동평균(VWMA)과 평균 실제 범위(ATR)를 활용하여 피보나치 볼린저 밴드를 표시하는 지표입니다. 또한, 고차 타임프레임(HTF) 데이터를 활용하여 시장의 큰 흐름을 분석할 수 있도록 설계되었습니다. 🔹 지표 작동 방식 고차 타임프레임(HTF) 데이터 적용 사용자가 원하는 타임프레임을 선택하여 VWMA와 ATR을 계산할 수 있습니다. 이를 통해 더 큰 시장 흐름을 분석할 수 있으며, 저타임프레임의 노이즈를 줄일 수 있습니다. 거래량 가중 이동평균(VWMA) 적용 VWMA는 단순 이동평균(SMA)보다 거래량이 많은 가격 움직임에 더 큰 가중치를 부여합니다. 계산 공식: 𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒 ​ 거래량이 많이 발생한 가격 구간을 강조하는 특성이 있어, 시장의 유동성 구간을 더 정확히 포착할 수 있습니다. ATR 기반 피보나치 볼린저 밴드 생성 ATR(Average True Range)를 활용하여 변동성을 측정합니다. 기존의 표준편차 기반 볼린저 밴드 대신, 피보나치 계수(2.618, 3.0, 3.414)를 ATR에 곱하여 밴드를 생성합니다. 이 밴드는 시장 변동성에 따라 유동적으로 조정됩니다. 🔹 탐구 결과: 매물대 및 오더블록 감지 테스트를 통해 Fibonacci 2.618 ~ 3.414 구간에서 매물대 및 오더블록을 포착하는 경향이 있음을 확인했습니다. 가격이 피보나치 밴드(특히 2.618, 3.0, 3.414)에 닿을 때 반응하는 경우가 많음 VWMA의 특성을 통해 오더블록을 감지할 가능성이 높음 🔹 오더블록(Order Block) 감지 원리 Fibonacci 밴드 끄트머리(2.618 ~ 3.414)에서 가격이 강하게 반응 이 영역에서 가격이 강하게 튀어 오르거나(매수 압력) 급락하는(매도 압력) 경우, → 기관들이 포지션을 청산하거나 추가 매집하는 구간일 가능성이 큼. 과거에 대량 주문이 체결된 가격 구간(= 오더블록)일 수 있음. VWMA를 통한 유동성 감지 VWMA는 거래량이 집중된 가격을 기준으로 이동하기 때문에, 기관 주문이 많이 들어온 가격대를 강조하는 특징이 있음. 따라서 VWMA와 피보나치 밴드가 만나는 지점은 유동성이 높은 핵심 구간이 될 가능성이 큼. 매물대 및 청산 구간 분석 가격이 밴드에 도달했을 때 강한 반등이 나오는지를 확인 → 오더블록 가능성 가격이 밴드를 여러 번 테스트하면서 돌파하지 못한다면, 해당 지점은 강한 매물대일 가능성 🔹 활용 방법 ✅ 오더블록 감지: 가격이 밴드(2.618~3.414)에 닿고 강하게 튕긴다면, 오더블록 가능성 해당 지점에서 거래량 증가 및 강한 반등 발생 시 매수 고려 ✅ 유동성 풀 확인: VWMA와 피보나치 밴드가 만나는 구간에서 반복적으로 거래량이 터진다면, 해당 지점은 기관 유동성 구간일 가능성 ✅ 추세 확인: VWMA가 상승하고 가격이 밴드 하단(지지선)에서 튕긴다면 강한 상승 추세 VWMA가 하락하고 가격이 밴드 상단(저항선)에서 거부당하면 하락 추세 지속
Pine Script® 인디케이터
kdhchgo의
300-Candle Weighted Average Zones w/50 EMA SignalsThis indicator is designed to deliver a more nuanced view of price dynamics by combining a custom, weighted price average with a volatility-based zone and a trend filter (in this case, a 50-period exponential moving average). The core concept revolves around capturing the overall price level over a relatively large lookback window (300 candles) but with an intentional bias toward recent market activity (the most recent 20 candles), thereby offering a balance between long-term context and short-term responsiveness. By smoothing this weighted average and establishing a “zone” of standard deviation bands around it, the indicator provides a refined visualization of both average price and its recent volatility envelope. Traders can then look for confluence with a standard trend filter, such as the 50 EMA, to identify meaningful crossover signals that may represent trend shifts or opportunities for entry and exit. What the Indicator Does: Weighted Price Average: Instead of using a simple or exponential moving average, this indicator calculates a custom weighted average price over the past 300 candles. Most historical candles receive a base weight of 1.0, but the most recent 20 candles are assigned a higher weight (for example, a weight of 2.0). This weighting scheme ensures that the calculation is not simply a static lookback average; it actively emphasizes current market conditions. The effect is to generate an average line that is more sensitive to the most recent price swings while still maintaining the historical context of the previous 280 candles. Smoothing of the Weighted Average: Once the raw weighted average is computed, an exponential smoothing function (EMA) is applied to reduce noise and produce a cleaner, more stable average line. This smoothing helps traders avoid reacting prematurely to minor price fluctuations. By stabilizing the average line, traders can more confidently identify actual shifts in market direction. Volatility Zone via Standard Deviation Bands: To contextualize how far price can deviate from this weighted average, the indicator uses standard deviation. Standard deviation is a statistical measure of volatility—how spread out the price values are around the mean. By adding and subtracting one standard deviation from the smoothed weighted average, the indicator plots an upper band and a lower band, creating a zone or channel. The area between these bands is filled, often with a semi-transparent color, highlighting a volatility corridor within which price and the EMA might oscillate. This zone is invaluable in visualizing “normal” price behavior. When the 50 EMA line and the weighted average line are both within this volatility zone, it indicates that the market’s short- to mid-term trend and its average pricing are aligned well within typical volatility bounds. Incorporation of a 50-Period EMA: The inclusion of a commonly used trend filter, the 50 EMA, adds another layer of context to the analysis. The 50 EMA, being a widely recognized moving average length, is often considered a baseline for intermediate trend bias. It reacts faster than a long-term average (like a 200 EMA) but is still stable enough to filter out the market “chop” seen in very short-term averages. By overlaying the 50 EMA on this custom weighted average and the surrounding volatility zone, the trader gains a dual-dimensional perspective: Trend Direction: If the 50 EMA is generally above the weighted average, the short-term trend is gaining bullish momentum; if it’s below, the short-term trend has a bearish tilt. Volatility Normalization: The bands, constructed from standard deviations, provide a sense of whether the price and the 50 EMA are operating within a statistically “normal” range. If the EMA crosses the weighted average within this zone, it signals a potential trend initiation or meaningful shift, as opposed to a random price spike outside normal volatility boundaries. Why a Trader Would Want to Use This Indicator: Contextualized Price Level: Standard MAs may not fully incorporate the most recent price dynamics in a large lookback window. By weighting the most recent candles more heavily, this indicator ensures that the trader is always anchored to what the market is currently doing, not just what it did 100 or 200 candles ago. Reduced Whipsaw with Smoothing: The smoothed weighted average line reduces noise, helping traders filter out inconsequential price movements. This makes it easier to spot genuine changes in trend or sentiment. Visual Volatility Gauge: The standard deviation bands create a visual representation of “normal” price movement. Traders can quickly assess if a breakout or breakdown is statistically significant or just another oscillation within the expected volatility range. Clear Trade Signals with Confirmation: By integrating the 50 EMA and designing signals that trigger only when the 50 EMA crosses above or below the weighted average while inside the zone, the indicator provides a refined entry/exit criterion. This avoids chasing breakouts that occur in abnormal volatility conditions and focuses on those crossovers likely to have staying power. How to Use It in an Example Strategy: Imagine you are a swing trader looking to identify medium-term trend changes. You apply this indicator to a chart of a popular currency pair or a leading tech stock. Over the past few days, the 50 EMA has been meandering around the weighted average line, both confined within the standard deviation zone. Bullish Example: Suddenly, the 50 EMA crosses decisively above the weighted average line while both are still hovering within the volatility zone. This might be your cue: you interpret this crossover as the 50 EMA acknowledging the recent upward shift in price dynamics that the weighted average has highlighted. Since it occurred inside the normal volatility range, it’s less likely to be a head-fake. You place a long position, setting an initial stop just below the lower band to protect against volatility. If the price continues to rise and the EMA stays above the average, you have confirmation to hold the trade. As the price moves higher, the weighted average may follow, reinforcing your bullish stance. Bearish Example: On the flip side, if the 50 EMA crosses below the weighted average line within the zone, it suggests a subtle but meaningful change in trend direction to the downside. You might short the asset, placing your protective stop just above the upper band, expecting that the statistically “normal” level of volatility will contain the price action. If the price does break above those bands later, it’s a sign your trade may not work out as planned. Other Indicators for Confluence: To strengthen the reliability of the signals generated by this weighted average zone approach, traders may want to combine it with other technical studies: Volume Indicators (e.g., Volume Profile, OBV): Confirm that the trend crossover inside the volatility zone is supported by volume. For instance, an uptrend crossover combined with increasing On-Balance Volume (OBV) or volume spikes on up candles signals stronger buying pressure behind the price action. Momentum Oscillators (e.g., RSI, Stochastics): Before taking a crossover signal, check if the RSI is above 50 and rising for bullish entries, or if the Stochastics have turned down from overbought levels for bearish entries. Momentum confirmation can help ensure that the trend change is not just an isolated random event. Market Structure Tools (e.g., Pivot Points, Swing High/Low Analysis): Identify if the crossover event coincides with a break of a previous pivot high or low. A bullish crossover inside the zone aligned with a break above a recent swing high adds further strength to your conviction. Conversely, a bearish crossover confirmed by a breakdown below a previous swing low can make a short trade setup more compelling. Volume-Weighted Average Price (VWAP): Comparing where the weighted average zone lies relative to VWAP can provide institutional insight. If the bullish crossover happens while the price is also holding above VWAP, it can mean that the average participant in the market is in profit and that the trend is likely supported by strong hands. This indicator serves as a tool to balance long-term perspective, short-term adaptability, and volatility normalization. It can be a valuable addition to a trader’s toolkit, offering enhanced clarity and precision in detecting meaningful shifts in trend, especially when combined with other technical indicators and robust risk management principles.
Pine Script® 인디케이터
brhodes88의
1
MACD+RSI+BBDESCRIPTION The MACD + RSI + Bollinger Bands Indicator is a comprehensive technical analysis tool designed for traders and investors to identify potential market trends and reversals. This script combines three indicators: the Moving Average Convergence Divergence (MACD), the Relative Strength Index (RSI), and Bollinger Bands. Each of these indicators provides unique insights into market behavior. FEATURES MACD (Moving Average Convergence Divergence) The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The script calculates the MACD line, the signal line, and the histogram, which visually represents the difference between the MACD line and the signal line. RSI (Relative Strength Index) The RSI is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is typically used to identify overbought or oversold conditions. The script allows users to set custom upper and lower thresholds for the RSI, with default values of 70 and 30, respectively. Bollinger Bands Bollinger Bands consist of a middle band (EMA) and two outer bands (standard deviations away from the EMA). They help traders identify volatility and potential price reversals. The script allows users to customize the length of the Bollinger Bands and the multiplier for the standard deviation. Color-Coding Logic The histogram color changes based on the following conditions: Black: If the RSI is above the upper threshold and the closing price is above the upper Bollinger Band, or if the RSI is below the lower threshold and the closing price is below the lower Bollinger Band. Green (#4caf50): If the RSI is above the upper threshold but the closing price is not above the upper Bollinger Band. Light Green (#a5d6a7): If the histogram is positive and the RSI is not above the upper threshold. Red (#f23645): If the RSI is below the lower threshold but the closing price is not below the lower Bollinger Band. Light Red (#faa1a4): If the histogram is negative and the RSI is not below the lower threshold. Inputs Bollinger Bands Settings Length: The number of periods for the moving average. Basis MA Type: The type of moving average (SMA, EMA, SMMA, WMA, VWMA). Source: The price source for the Bollinger Bands calculation. StdDev: The multiplier for the standard deviation. RSI Settings RSI Length: The number of periods for the RSI calculation. RSI Upper: The upper threshold for the RSI. RSI Lower: The lower threshold for the RSI. Source: The price source for the RSI calculation. MACD Settings Fast Length: The length for the fast moving average. Slow Length: The length for the slow moving average. Signal Smoothing: The length for the signal line smoothing. Oscillator MA Type: The type of moving average for the MACD calculation. Signal Line MA Type: The type of moving average for the signal line. Usage This indicator is suitable for various trading strategies, including day trading, swing trading, and long-term investing. Traders can use the MACD histogram to identify potential buy and sell signals, while the RSI can help confirm overbought or oversold conditions. The Bollinger Bands provide context for price volatility and potential breakout or reversal points. Example: From the example, it can clearly see that the Selling Climax and Buying Climax, marked as orange circle when a black histogram occurs. Conclusion The MACD + RSI + Bollinger Bands Indicator is a versatile tool that combines multiple technical analysis methods to provide traders with a comprehensive view of market conditions. By utilizing this script, traders can enhance their analysis and improve their decision-making process.
Pine Script® 인디케이터
AmirZainol의
10
IMI and MFI CombinedFor a strategy using the combined IMI (Intraday Momentum Index), MFI (Money Flow Index), and Bollinger Bands on a 1-minute chart of Bank NIFTY (Bank Nifty Index), here's how you can interpret the indicators and define a sell signal strategy: Strategy Explanation: IMI (Intraday Momentum Index): IMI measures the ratio of upward price changes to downward price changes over a specified period, indicating momentum. In the script, IMI is plotted with a range from 0 to 100. Levels above 75 are considered overbought, and levels below 25 are oversold. Strategy Condition: A sell signal can be considered when IMI is above 75, indicating a potentially overbought market condition. MFI (Money Flow Index): MFI measures the strength of money flowing in and out of a security, using price and volume. In the script, MFI is plotted with levels at 80 (overbought) and 20 (oversold). Strategy Condition: A sell signal can be considered when MFI is above 80, suggesting an overbought condition in the market. Bollinger Bands: Bollinger Bands consist of a middle band (SMA) and upper/lower bands representing volatility levels around the price. In the script, Bollinger Bands are plotted with a length of 20 and a standard deviation multiplier of 2. Strategy Condition: While not explicitly used for generating sell signals in this script, Bollinger Bands can help confirm price volatility and potential reversals when combined with other indicators. Sell Signal Criteria: IMI Sell Signal: Look for instances where IMI rises above 75. This indicates that the recent upward price momentum may be reaching an unsustainable level, potentially signaling a reversal or a pullback in prices. MFI Sell Signal: Look for MFI rising above 80. This suggests that the market has experienced strong buying pressure, possibly leading to an overbought condition where a price correction or reversal might occur. Implementation Considerations: Confirmation: Consider waiting for both IMI and MFI to confirm the overbought condition simultaneously before entering a sell trade. This can increase the reliability of the signal. Risk Management: Use stop-loss orders to manage risk in case the market moves against the anticipated direction after the sell signal is triggered. Timeframe: This strategy is tailored for a 1-minute chart, meaning signals should be interpreted and acted upon quickly due to the rapid nature of price movements in intraday trading. By combining these indicators and interpreting their signals, you can develop a systematic approach to identifying potential sell opportunities in the Bank NIFTY index on a 1-minute timeframe. Adjustments to indicator parameters and additional technical analysis may further refine the strategy based on your trading preferences and risk tolerance.
Pine Script® 인디케이터
pratikbhange96의
[blackcat] L1 Zero-Lag EMA BandThe Zero-Lag EMA Band is a sophisticated technical analysis tool designed to provide traders with a comprehensive view of market trends. This innovative indicator merges the Zero-Lag EMA, a derivative of the traditional Exponential Moving Average, with Bollinger Bands to create a unique trend indicator that is less laggy and more responsive to market changes. The Zero-Lag EMA Band is calculated by taking the standard deviation of the price data and adding or subtracting it from the Zero-Lag EMA to create an upper band and a lower band. This process results in a trend band that can help traders identify potential support and resistance levels, providing them with a more accurate assessment of the market's behavior. The Zero-Lag EMA Band is particularly useful for traders who need to react quickly to market changes. It offers a more timely assessment of potential trend reversals, allowing traders to capitalize on market opportunities and mitigate risk. The indicator's design is based on the principle of Zero-Lag, which aims to reduce the lag associated with traditional EMAs. This feature makes the Zero-Lag EMA Band a powerful tool for traders who want to stay ahead of the market and make more informed decisions. In summary, the Zero-Lag EMA Band is a comprehensive and responsive tool for traders looking to identify and capitalize on market trends. It is a valuable addition to any trader's toolkit, offering a more accurate and timely assessment of potential trend reversals and providing a more comprehensive view of the market's behavior. Certainly! Let's go through the Pine Script code line by line to understand its functionality: //@version=5 This line specifies the version of Pine Script being used. In this case, it's version 5. indicator(' L1 Zero-Lag EMA Band', shorttitle='L1 ZLEMA Band', overlay=true) This line defines the indicator with a title and a short title. The `overlay=true` parameter means that the indicator will be plotted on top of the price data. length = input.int(21, minval=1, title='Length') This line creates an input field for the user to specify the length of the EMA. The default value is 21, and the minimum value is 1. mult = input(1, title='Multiplier') This line creates an input field for the user to specify the multiplier for the standard deviation, which is used to calculate the bands around the EMA. The default value is 1. src = input.source(close, title="Source") This line creates an input field for the user to specify the data source for the EMA calculation. The default value is the closing price of the asset. // Define the smoothing factor (alpha) for the EMA alpha = 2 / (length + 1) This line calculates the smoothing factor alpha for the EMA. It's a common formula for EMA calculation. // Initialize a variable to store the previous EMA value var float prevEMA = na This line initializes a variable to store the previous EMA value. It's initialized as `na` (not a number), which means it's not yet initialized. // Calculate the zero-lag EMA emaValue = na(prevEMA) ? ta.sma(src, length) : (src - prevEMA) * alpha + prevEMA This line calculates the zero-lag EMA. If `prevEMA` is not a number (which means it's the first calculation), it uses the simple moving average (SMA) as the initial EMA. Otherwise, it uses the standard EMA formula. // Update the previous EMA value prevEMA := emaValue This line updates the `prevEMA` variable with the newly calculated EMA value. The `:=` operator is used to update the variable in Pine Script. // Calculate the upper and lower bands dev = mult * ta.stdev(src, length) upperBand = emaValue + dev lowerBand = emaValue - dev These lines calculate the upper and lower bands around the EMA. The bands are calculated by adding and subtracting the product of the multiplier and the standard deviation of the source data over the specified length. // Plot the bands p0 = plot(emaValue, color=color.new(color.yellow, 0)) p1 = plot(upperBand, color=color.new(color.yellow, 0)) p2 = plot(lowerBand, color=color.new(color.yellow, 0)) fill(p1, p2, color=color.new(color.fuchsia, 80)) These lines plot the EMA value, upper band, and lower band on the chart. The `fill` function is used to color the area between the upper and lower bands. The `color.new` function is used to create a new color with a specified alpha value (transparency). In summary, this script creates an indicator that displays the zero-lag EMA and its bands on a trading chart. The user can specify the length of the EMA and the multiplier for the standard deviation. The bands are used to identify potential support and resistance levels for the asset's price. In the context of the provided Pine Script code, `prevEMA` is a variable used to store the previous value of the Exponential Moving Average (EMA). The EMA is a type of moving average that places a greater weight on the most recent data points. Unlike a simple moving average (SMA), which is an equal-weighted average, the EMA gives more weight to the most recent data points, which can help to smooth out short-term price fluctuations and highlight the long-term trend. The `prevEMA` variable is used to calculate the current EMA value. When the script runs for the first time, `prevEMA` will be `na` (not a number), indicating that there is no previous EMA value to use in the calculation. In such cases, the script falls back to using the simple moving average (SMA) as the initial EMA value. Here's a breakdown of the role of `prevEMA`: 1. **Initialization**: On the first bar, `prevEMA` is `na`, so the script uses the SMA of the close price over the specified period as the initial EMA value. 2. **Calculation**: On subsequent bars, `prevEMA` holds the value of the EMA from the previous bar. This value is used in the EMA calculation to give more weight to the most recent data points. 3. **Update**: After calculating the current EMA value, `prevEMA` is updated with the new EMA value so it can be used in the next bar's calculation. The purpose of `prevEMA` is to maintain the state of the EMA across different bars, ensuring that the EMA calculation is not reset to the SMA on each new bar. This is crucial for the EMA to function properly and to avoid the "lag" that can sometimes be associated with moving averages, especially when the length of the moving average is short. In the provided script, `prevEMA` is used to simulate a zero-lag EMA, but as mentioned earlier, there is no such thing as a zero-lag EMA in the traditional sense. The EMA already has a very minimal lag due to its recursive nature, and any attempt to reduce the lag further would likely not be accurate or reliable for trading purposes. Please note that the script provided is a conceptual example and may not be suitable for actual trading without further testing and validation.
Pine Script® 인디케이터
blackcat1402의
2
MESThe Double Bollinger Bands strategy is a trend-following strategy that aims to identify high-probability trading opportunities in trending markets. The strategy involves using two sets of Bollinger Bands with different standard deviation values to identify potential entry and exit points. Bollinger Bands are a technical analysis tool that consists of three lines plotted on a price chart: a simple moving average (SMA) in the middle, and an upper and lower band that are each a certain number of standard deviations away from the SMA. The standard deviation value determines the width of the bands, with a larger deviation resulting in wider bands. In this indicator, the first set of Bollinger Bands is calculated using a length of 20 bars and a standard deviation of 2, while the second set uses a length of 20 bars and a standard deviation of 3. The bands are plotted on the price chart along with the SMA for each set. The buy signal is generated when the price falls below the lower band of the second set of Bollinger Bands (the 3-standard deviation band) and then rises above the lower band of the first set (the 2-standard deviation band). This is interpreted as a potential reversal point in a downtrend and a signal to enter a long position. Conversely, the sell signal is generated when the price rises above the upper band of the second set of Bollinger Bands and then falls below the upper band of the first set. This is interpreted as a potential reversal point in an uptrend and a signal to enter a short position. To make it easier to identify buy and sell signals on the price chart, the indicator plots triangles above the bars for sell signals and below the bars for buy signals. Overall, the Double Bollinger Bands strategy can be a useful tool for traders who want to follow trends and identify potential entry and exit points. However, as with any trading strategy, it is important to backtest and thoroughly evaluate its performance before using it in live trading.
Pine Script® 인디케이터
mephistomevo의
Band-Zigzag Based Trend FollowerWe defined new method to derive zigzag last month - which is called Channel-Based-Zigzag . This script is an example of one of the use case of this method. 🎲 Trend Following Defining a trend following method is simple. Basic rule of trend following is Buy High and Sell Low (Yes, you heard it right). To explain further - methodology involve finding an established trend which is flying high and join the trend with proper risk and optimal stop. Once you get into the trade, you will not exit unless there is change in the trend. Or in other words, the parameters which you used to define trend has reversed and the trend is not valid anymore. Few examples are: 🎯 Using bands When price breaks out of upper bands (example, Bollinger Band, Keltener Channel, or Donchian Channel), with a pre determined length and multiplier, we can consider the trend to be bullish and similarly when price breaks down the lower band, we can consider the trend to be bearish. Here are few examples where I have used bands for identifying trend Band-Based-Supertrend Donchian-Channel-Trend-Filter 🎯 Using Pivots Simple logic using zigzag or pivot points is that when price starts making higher highs and higher lows, we can consider this as uptrend. And when price starts making lower highs and lower lows, we can consider this as downtrend. There are few supertrend implementations I have published in the past based on zigzags and pivot points. Adoptive-Supertrend-Pivots Zigzag-Supertrend Drawbacks of both of these methods is that there will be too many fluctuations in both cases unless we increase the reference length. And if we increase the reference length, we will have higher drawdown. 🎲 Band Based Zigzag Method Band Based Zigzag will help overcome these issues by combining both the methods. Here we use bands to define our pivot high and pivot low - this makes sure that we are identifying trend only on breakouts as pivots are only formed on breakouts. Our method also includes pivot ratio to cross over 1.0 to be able to consider it as trend. This means, we are waiting for price also to make new high high or lower low before making the decision on trend. But, this helps us ignore smaller pivot movements due to the usage of bands. I have also implemented few tricks such as sticky bands (Bands will not contract unless there is breakout) and Adaptive Bands (Band will not expand unless price is moving in the direction of band). This makes the trend following method very robust. To avoid fakeouts, we also use percentB of high/low in comparison with price retracement to define breakout. 🎲 The indicator The output of indicator is simple and intuitive to understand. 🎯 Trend Criteria Uptrend when last confirmed pivot is pivot high and has higher retracement ratio than PercentB of High. Else, considered as downtrend. Downtrend when last confirmed pivot is pivot low and has higher retracement ratio than PercentB of High. Else, considered as uptrend. 🎯 Settings Settings allow you to select the band type and parameters used for calculating zigzag and then trend. Also has few options to hide the display.
Pine Script® 인디케이터
Trendoscope의
25
Cryptogrithm's Secret Momentum and Volatility IndicatorThis indicator is hard-coded for Bitcoin, but you may try it on other asset classes/coins. I have not updated this indicator in over 3 years, but it seems to still work very well for Bitcoin. This indicator is NOT for beginners and is directed towards intermediate/advanced traders with a sensibility to agree/disagree with what this indicator is signalling (common sense). This indicator was developed back in 2018 and I has not been maintained since, which is the reason why I am releasing it. (It still works great though! At the time of this writing of May 2022). How to use: Terms: PA (Price Action): Literally the candlestick formations on your chart (and the trend formation). If you don't know how to read and understand price action, I will make a fast-track video/guide on this later (but in the meanwhile, you need to begin by learning Order-Flow Analysis, please google it first before asking). CG Level (Cryptogrithm Level/Yellow Line): PA level above = bullish, PA level below = bearish CG Bands (Cryptogrithm Bands): This is similar to how bollingers work, you can use this the same was as bollinger bands. The only difference is that the CG bands are more strict with the upper and lower levels as it uses different calculations to hug the price tighter allowing it to be more reactive to drastic price changes (earlier signals for oversold/overbought). CG Upper Band (Red Upper Line): Above this upper bound line means overbought. CG Middle Band (Light Blue Line): If PA trades above this line, the current PA trend is bullish continuing in the uptrend. If PA trades below this line, the current PA trend is bearish continuing in the downtrend. This band should only be used for short-term trends. CG Lower Band (Green Lower Line): Below this lower bound line means oversold. What the CG Level (yellow line) tells you: PA is trading above CG Level = Bullish PA is trading below CG Level = Bearish Distance between CG Level and price = Momentum What this means is that the further away the price is from the CG Level, the greater the momentum of the current PA trend. An increasing gap between the CG Level and PA indicates the price's strength (momentum) towards the current upward/downward trend. Basically when the PA and CG Level diverge, it means that the momentum is increasing in the current trend and when they converge, the current trend is losing momentum and the direction of the PA trend may flip towards the other direction (momentum flip). PA+CG Level Momentum: To use the CG Level as a momentum indicator, you need to pay attention to how the price and the CG level are moving away/closer from each other: PA + CG Level Diverges = Momentum Increasing PA + CG Level Converges = Momentum Decreasing Examples (kind of common sense, but just for clarity): Case 1: Bullish Divergence (Bullish): The PA is ABOVE and trending AWAY above from the CG Level = very bullish, this means that momentum is increasing towards the upside and larger moves will come (increasing gap between the price and CG Level) Case 2: Bearish Convergence (Bearish): - The PA is ABOVE the CG Level and trending TOWARDS the CG Level = bearish, there is a possibility that the upward trend is ending. Look to start closing off long positions until case 1 (divergence) occurs again. Case 3: Neutral - The PA is trading on the CG Level (no clear divergence or convergence between the PA and CG Level) = Indicates a back and forth (tug of war) between bears and bulls. Beware of choppy price patterns as the trend is undecisive until either supply/liquidity is dried out and a winner between bull/bear is chosen. This is a no trade zone, but do as you wish. Case 4: Bearish Divergence (Bearish): The PA is BELOW and trending AWAY BELOW from the CG Level = very bearish, this means that momentum is increasing towards the downside and larger downward moves will come (increasing gap between the price and CG Level). Case 5: Bullish Convergence (Bullish): - The PA is BELOW the CG Level and trending TOWARDS the CG Level = bullish, there is a possibility that the downward trend is ending and a trend flip is occuring. Look to start closing off short positions until case 4 (divergence) occurs again. CG Bands + CG Level: You can use the CG bands instead of the PA candles to get a cleaner interpretation of reading the momentum. I won't go into detail as this is pretty self-explanatory. It is the same explanation as PA+CG Level Momentum, but you are replacing the PA candles with the CG Bands for interpretation. So instead of the PA converging/diverging from the CG Level, the Upper and Lower Bound levels are converging/diverging from the CG level instead. Convergence: CG Level (yellow line) trades inside the CG bands Divergence: CG Level (yellow line) trades outside the CG bands Bullish/Bearish depends on whether the CG Band is trading below or above the CG level. If CG Band is above the CG Level, this is bullish. If CG Band is below the CG level, this is bearish. Crosses (PA or CG Band crosses with CG level): This typically indicates volatility is incoming. There are MANY MANY MANY other ways to use this indicator that is not explained here and even other undiscovered methods. Use some common sense as to how this indicator works (it is a momentum indicator and volatility predictor). You can get pretty creative and apply your own methods / knowledge to it and look for patterns that occur. Feel free to comment and share what you came up with!
Pine Script® 인디케이터
Cryptogrithm의
Helix Protocol 7Helix Protocol 7 Overview Helix Protocol 7 is a trend-adaptive signal engine that automatically adjusts its buy and sell criteria based on current market conditions. Rather than using fixed thresholds that work well in some environments but fail in others, Helix detects whether the market is in a strong uptrend, neutral consolidation, or downtrend, then applies the appropriate signal parameters for each state. This adaptive approach helps traders buy dips aggressively in confirmed uptrends while requiring much stricter conditions before buying in downtrends. Core Philosophy The fundamental insight behind Helix is that the same indicator readings mean different things in different market contexts. An RSI of 45 during a strong uptrend represents a healthy pullback and buying opportunity. That same RSI of 45 during a confirmed downtrend might just be a brief pause before further decline. Helix encodes this context-awareness directly into its signal logic. The Money Line At the center of the indicator is the Money Line, which can be configured as either a linear regression line or a weighted combination of exponential moving averages. Linear regression provides a mathematically optimal fit through recent price data, while the weighted EMA option offers more responsiveness to recent price action. The slope of the Money Line determines whether the immediate price trend is bullish, bearish, or neutral, which affects the color of the bands and cloud shading. Dynamic Envelope Bands Upper and lower bands are calculated using Average True Range multiplied by a dynamic factor. When ADX indicates trending conditions, the bands automatically widen to accommodate larger price swings. The Chaikin Accumulation/Distribution indicator also influences band width, with strong accumulation or distribution causing additional band expansion. This dual adaptation helps the bands remain relevant across different volatility regimes. Trend State Detection Helix classifies market conditions into four distinct states using a combination of ADX behavior and Directional Movement analysis. Strong Uptrend requires ADX to be rising (gaining momentum), ADX value above a threshold (default 25), and the positive directional indicator exceeding the negative. This combination confirms not just that price is rising, but that the trend is strengthening. Strong Downtrend uses the same ADX requirements but with the negative directional indicator dominant. This identifies accelerating downward momentum. Weak Downtrend is detected when ADX is falling (trend losing steam) but negative DI still exceeds positive DI. This often represents the exhaustion phase of a decline. Neutral applies when none of the above conditions are met, typically during consolidation or when directional indicators are close together. Adaptive Signal Thresholds The indicator uses Fisher Transform and RSI as its primary oscillators, but the trigger levels change based on trend state. During Strong Uptrend, buy conditions are relaxed significantly. The Fisher threshold might be set to 1.0 (only slightly below neutral) and RSI to 50, allowing entries on minor pullbacks within the established trend. Sell conditions are tightened, requiring Fisher above 2.5 and RSI above 70, letting winning positions run longer. During Neutral conditions, both buy and sell thresholds return to traditional oversold and overbought levels. Fisher must reach -2.0 for buys and +2.0 for sells, with RSI requirements around 30 and 65 respectively. During Downtrend, buy conditions become very strict. Fisher must reach extreme oversold levels like -2.5 and RSI must drop below 25, ensuring buys only trigger on genuine capitulation. Sell conditions are loosened, allowing exits on any meaningful bounce. This asymmetric approach embodies the trading principle of being aggressive when conditions favor you and defensive when they do not. Band Touch Signals In addition to oscillator-based signals, Helix generates signals when price touches the dynamic bands. A touch of the lower band indicates potential support and generates a buy signal. A touch of the upper band suggests potential resistance and generates a sell signal. These band-based signals work alongside the oscillator signals, providing entries even when Fisher and RSI have not reached their thresholds. Extreme Move Detection Sometimes price moves so violently that it penetrates the bands by an unusual amount. Helix measures this penetration depth as a percentage of ATR and can flag these as "extreme" signals. Extreme signals have special properties: they can fire intra-bar (before the candle closes) to catch wick entries, they can bypass normal cooldown periods, and they can optionally bypass volatility freezes. This allows the indicator to capture panic selling events that might be missed by waiting for candle closes. Cascade Protection System A critical feature for risk management is the built-in cascade protection that prevents averaging down into oblivion. The system has two components. First, it tracks Bollinger Band Width Percentile, which measures current volatility relative to its historical range. When BBWP exceeds a threshold (default 92%), indicating a volatility spike often associated with sharp directional moves, all buy signals are temporarily frozen. This prevents entries during the most dangerous market conditions. Second, it counts consecutive buy signals without an intervening sell. After reaching the maximum (default 3), no additional buy signals are generated until a sell occurs. This absolute limit prevents the common mistake of repeatedly buying a falling asset. The protection status is displayed in the information panel, showing current BBWP level and the consecutive buy count. RSI Divergence Detection Helix includes automatic detection of RSI divergences, which often precede trend reversals. Regular bullish divergence occurs when price makes a lower low but RSI makes a higher low, suggesting weakening downside momentum. Regular bearish divergence is the opposite pattern at tops. Hidden divergences, which suggest trend continuation rather than reversal, are also detected and can be displayed optionally. Divergence lines are drawn directly on the price chart connecting the relevant pivot points. Signal Cooldown To prevent signal clustering and overtrading, a configurable cooldown period prevents new signals for a set number of bars after each signal. This ensures each signal represents a distinct trading opportunity. Visual Components The indicator provides comprehensive visual feedback. The Money Line changes color based on slope direction. The cloud shading between bands reflects trend bias. An ADX bar at the bottom of the chart uses color coding to show trend state at a glance: lime for strong uptrend, red for downtrend, white for ranging (very low ADX), orange for flat, and blue for trending but not yet strong. Price labels appear at signal locations showing the entry or exit price, the trigger type (band touch, uptrend dip, capitulation, etc.), and the current position in the consecutive buy count. The information panel displays current trend state, divergence status, BBWP freeze status, buy counter, ADX with direction arrow, DI spread, Fisher and RSI values, and the current active thresholds for buy and sell signals. A compact mode is available for mobile devices. How to Use In strong uptrends, look for buy signals on pullbacks to the Money Line or lower band. The relaxed thresholds will generate more frequent entries, which is appropriate when trend momentum is confirmed. Consider letting sell signals pass if the trend remains strong. In neutral markets, treat signals more selectively. Both buy and sell signals require significant oscillator extremes, making them higher-probability but less frequent. In downtrends, exercise extreme caution with buy signals. The strict requirements mean buys only trigger on major oversold conditions. Respect sell signals promptly, as the loosened thresholds are designed to protect capital. Always monitor the cascade protection status. If BBWP shows frozen or the buy counter is at maximum, the indicator is warning you that conditions are dangerous for new long entries. Settings Guidance The default settings are calibrated for cryptocurrency markets on 5-minute timeframes. For other assets or timeframes, consider adjusting the ADX threshold for strong trend detection (lower for less volatile assets), the Fisher and RSI thresholds for each trend state, and the BBWP freeze level based on the asset's typical volatility profile. The indicator includes a debug panel that can be enabled to show the detailed state of all conditions, useful for understanding why signals are or are not firing.
Pine Script® 인디케이터
ralis24의
MoneyLine CipherMoneyLine Cipher Overview MoneyLine Cipher is a trend-following indicator designed to identify high-probability entry and exit points by combining multiple technical analysis methods into a unified signal system. The indicator adapts its behavior based on current market conditions, becoming more aggressive in strong trends and more conservative in choppy or uncertain markets. Core Concept: The Money Line At the heart of this indicator is the Money Line, a linear regression line that acts as a dynamic center of price action. Unlike a simple moving average, linear regression fits a straight line through recent prices using least-squares methodology, providing a smoother representation of the underlying trend direction. The slope of this line determines whether the market is in a bullish, bearish, or neutral state. Dynamic Envelope Bands The indicator plots upper and lower bands around the Money Line using Average True Range (ATR) as the volatility measure. What makes these bands unique is their adaptive multiplier system. When the ADX (Average Directional Index) indicates a strong trend, the bands automatically widen to accommodate larger price swings and avoid premature exits. In ranging or weak trend conditions, the bands contract to provide tighter entry and exit zones. This dynamic adjustment helps the indicator perform consistently across different market environments. Trend State Detection The indicator classifies market conditions into five distinct states: Strong Uptrend, Uptrend, Neutral, Downtrend, and Strong Downtrend. This classification uses three complementary methods working together. First, the Directional Movement Index (DMI) measures the spread between positive and negative directional indicators. A large positive spread suggests bullish momentum, while a large negative spread indicates bearish pressure. Second, On-Balance Volume (OBV) confirms whether volume supports the indicated trend direction. For a Strong Uptrend classification, OBV must be rising above its moving average, confirming that buying pressure backs the price movement. Third, ADX must exceed a minimum threshold for Strong trend classifications, ensuring that only genuinely trending markets receive the Strong designation. Signal Generation Buy and sell signals are generated using Fisher Transform and Aroon indicators, but with a crucial enhancement: the trigger thresholds adjust dynamically based on the current trend state. The Fisher Transform converts price data into a Gaussian normal distribution, making turning points easier to identify. In a Strong Uptrend, the buy threshold relaxes (making buys easier to trigger) while the sell threshold tightens (making sells harder to trigger). This allows traders to stay in winning positions longer during favorable conditions. The opposite applies in downtrends, where the system becomes quick to exit and reluctant to enter long positions. The Aroon indicator measures how recently price made a new high or low within the lookback period. Combined with Fisher Transform, this dual-confirmation approach reduces false signals that might occur when using either indicator alone. Band touches also generate signals. When price reaches the lower band, a potential buy zone is identified. When price reaches the upper band, a potential sell zone is flagged. Cascade Protection System A key feature is the built-in protection against averaging down into a losing position. The system tracks consecutive buy signals and limits them to a configurable maximum (default: 3). After reaching this limit, no additional buy signals are generated until a sell signal resets the counter. This prevents the common mistake of repeatedly buying during a sustained decline. Additionally, the indicator monitors Bollinger Band Width Percentile (BBWP), which measures current volatility relative to historical volatility. When BBWP exceeds a threshold (indicating a volatility spike often associated with sharp moves), buy signals are temporarily frozen. This protects against entering during panic selloffs or blow-off tops. Extreme Move Detection Sometimes price moves so aggressively that it penetrates the bands by an unusual amount. The indicator detects these extreme moves and can generate signals even during normal cooldown periods. The logic is that an extreme band penetration represents a significant overextension that warrants attention regardless of recent signal history. These extreme signals are visually distinguished from regular signals. RSI Divergence The indicator includes RSI divergence detection as an additional confirmation tool. When price makes a lower low but RSI makes a higher low (bullish divergence), it suggests weakening downside momentum and a potential reversal. Bearish divergence (price higher high, RSI lower high) warns of potential tops. Both regular and hidden divergences are detected and marked on the chart. Signal Cooldown To prevent overtrading and signal clustering, a configurable cooldown period prevents new signals for a set number of bars after each signal. This spacing ensures that each signal represents a distinct trading opportunity rather than repeated triggers on the same price movement. Visual Display The indicator provides a comprehensive information panel showing current trend state, BBWP status, consecutive buy count, ADX reading, Fisher and Aroon values, cooldown status, and current dynamic thresholds. An ADX bar at the bottom of the chart provides quick visual reference for trend strength and direction using color coding. Signal labels display the entry or exit price along with the current buy count (for buy signals), helping traders track their position sizing. How to Use In uptrending markets, look for buy signals near the lower band, particularly when the trend state shows Uptrend or Strong Uptrend. These represent pullback opportunities within an established trend. In downtrending markets, the indicator naturally reduces buy signals and increases sell sensitivity, helping traders avoid catching falling knives. In neutral or ranging conditions, signals from both directions are generated with moderate thresholds, suitable for mean-reversion trading within the bands. Monitor the BBWP and consecutive buy counter in the info panel. If BBWP shows "FROZEN" or the buy counter approaches the maximum, exercise additional caution with new long entries. Settings Guidance The default settings are optimized for 5-minute cryptocurrency charts but can be adjusted for other timeframes and assets. Key parameters to consider adjusting include the Money Line length (shorter for more responsive, longer for smoother), ATR multiplier range (wider bands reduce signals but improve accuracy), and the various threshold values for trend classification.
Pine Script® 인디케이터
ralis24의
Rider Algo 5 & 6 Strategies - RSI Extreme Trading [Rider Algo]Rider Algo 5 & 6 Strategies – RSI Extreme Trading This script combines two of my favorite RSI concepts into a single price-based framework: Strategy 5 (S5): Extreme Continuation Strategy 6 (S6): Strength & Weakness Reversal Everything is plotted directly on the price chart using an “inverse RSI” model that shows where price would be if RSI were at specific levels (default 70/30). Core Idea – RSI Price Bands The script builds two dynamic price bands: Upper RSI Band → price level where RSI = upper level (70) Lower RSI Band → price level where RSI = lower level (30) These bands show when the market is operating in RSI overbought/oversold conditions directly on the candles. Optional markers: “Exit OB” and “Exit OS” show when price returns inside the band. Strategy 6 – Strength & Weakness Reversal (S6) Goal: Fade exhaustion after a sustained RSI extreme. Two independent extreme lines: RSI Extreme Line WEAKNESS (S6) → 70 RSI Extreme Line STRENGTH (S6) → 30 Bearish “Weakness (S6)” signal RSI trades above the Weakness line for ≥3 bars. RSI crosses back below. → Red Weakness (S6) arrow above price. Bullish “Strength (S6)” signal RSI trades below the Strength line for ≥3 bars. RSI crosses back above. → Green Strength (S6) arrow below price. These are counter-trend reversal setups after extreme RSI stretches. Strategy 5 – Extreme Continuation (S5) Goal: Trade continuation after an extreme breakout, entering on the first clean retest of the extreme line. Uses: Same RSI bands/extreme lines EMA15 as a filter Long (S5) – Extreme Continuation Long Price breaks above the upper band. Price touches EMA15 at least once. First wick retest of the upper band with close back above → “Long (S5)” with exact entry level. Short (S5) – Extreme Continuation Short Mirror logic: Break below the lower band. Touch of EMA15. First wick retest of the lower band with close back below → “Short (S5)”. Why EMA15 filter? It forces a cooldown, avoiding rapid-fire continuation signals during a single vertical leg. Non-repainting logic All signals use closed bars only. S6 3-bar regimes use historical bars. S5 retests are validated after breakout bars close. EMA15 uses closed candles. No repainting of historical markers. Inputs & Customization Base RSI & Bands RSI Length – 14 RSI Source – close Upper/Lower RSI Levels – adjustable (default 70/30) Strategy 6 – Extreme Reversal Adjustable Weakness/Strength levels Toggle signals on/off Strategy 5 – Extreme Continuation Toggle Long/Short markers Optional Exit OB/OS markers Visual Style Custom band colors, width, and fill transparency. Alerts Master on/off OB/OS Band exits Weakness / Strength Long (S5) / Short (S5) How I like to use it S6 for counter-trend entries after clear extremes. S5 for continuation when the market is explosive and pulls back to the extreme line after touching EMA15. Ideas: Stop-loss beyond the extreme line. Combine with HTF structure, liquidity or volume. Works well on assets with expansion characteristics: crypto, indices, FX. Disclaimer This script is for educational purposes only. It is not financial advice. Test everything in demo and use proper risk management. Tagging it as: “Rider Algo 5 & 6 – RSI Extreme Trading” helps others find it.
Pine Script® 인디케이터
RiderAlgo의
TT ToniTrading Adjustable Price Fee Band [%]Simple but perfectly functional indicator with Trading fee bands. Crypto Trading is with fees and very small trades often don't make sense due to the fees we need to pay. With this band you can visualize your fees before entering a trade and take smarter decisions for tight daytrading and scalping. You type in the fee for just one trade, the Taker Fee for a Market Order. The bands show the fees in % times 2, so what you will pay for opening and closing the trade in reality. The band therefore shows the real break-even point, with included payed fees. It additionally helps taking trading decisions or not with very small trades (Scalping). You can smooth the bands if you want and you can addtionally show the true datapoints if you prefer smoothend bands. I recommend no bigger smoothing than 2, if you don't want to show the datapoints. Additionally you can fill the band, and of course adjust transperency, colour and all the general TradingView stuff. Fee Overview in the current market for the indicator input field: BingX with 10% fee reduction code = 0,045 % BingX: Normal = 0,050 % Bitget, ByBit, BitUnix, Blofin, Phemex: Normal = 0,060 % Bitget, ByBit, BitUnix, Blofin, Phemex: with 20% fee reduction code = 0,048 % Have fun Trading, Happy Profits! Greetings ToniTrading
Pine Script® 인디케이터
ToniTradingCrypto의