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RSI+ with Bollinger BandsRelative Strenght Index + SMA on RSI + Bollinger Bands on it - very good solution to see reversals and see lows and highs. Use different timeframe. StdDev is 2.17 by default to get 97% probability. RSI + SMA с наложенными Bollinger Bands - прекрасное решение для поиска разворотных точек и аномального поведения цены. Используйте разные таймфреймы одновременно. StdDev = 2.17 по умолчанию для обеспечения попадания в диапазон в 97% случаев.
Indicatore Pine Script®
di KostiaMinin
1
Relative Directional Volume Indicator# Relative Directional Volume Indicator (RelDirVol) ## Overview The Relative Directional Volume Indicator (RelDirVol) is a powerful volume analysis tool that measures current trading volume relative to historical volume while differentiating between bullish and bearish volume flows. This indicator helps traders identify unusual volume activity and determine whether it's coming from buyers or sellers, providing deeper insights into market participation and potential trend strength. ## Features - **Relative Volume Calculation**: Compares current volume to historical averages - **Directional Volume Analysis**: Separates and visualizes bullish vs bearish volume - **Multiple Moving Average Options**: Customize smoothing with various MA types (SMA, EMA, WMA, HMA, VWMA) - **Split Moving Averages**: View distinct moving averages for bullish and bearish volume flows - **Reference Lines**: Visual guides for normal volume (1.0x) and key deviation levels (0.5x, 2.0x, 3.0x) - **Customizable Colors**: Adjust visual appearance for improved chart readability ## How It Works The indicator calculates the relative volume by dividing the current bar's volume by the average volume over a specified lookback period. It then categorizes this volume as either bullish (when price closes above the open) or bearish (when price closes below or equal to the open). 1. **Relative Volume**: Current volume ÷ Average volume from previous N bars 2. **Directional Classification**: Assigns volume to bullish or bearish categories based on price action 3. **Moving Averages**: Applies user-selected moving average to smooth the data The result is displayed as color-coded histogram bars showing the relative volume magnitude, with optional moving average lines for both overall and direction-specific volume trends. ## Interpretation ### Volume Magnitude - **Above 1.0**: Higher than average volume (more participation than normal) - **Below 1.0**: Lower than average volume (less participation than normal) - **2.0+**: Volume twice the normal level (significant participation) - **3.0+**: Volume three times normal (exceptional participation, often at key events) ### Directional Analysis - **Strong Green Bars**: Heavy bullish participation driving prices up - **Strong Red Bars**: Heavy bearish participation driving prices down - **Bullish MA > Bearish MA**: Overall buying pressure dominating - **Bearish MA > Bullish MA**: Overall selling pressure dominating ### Key Signals - **Volume Spikes with Price Breakouts**: Confirms strength of the move - **Divergence Between MAs**: Early warning of potential shift in market control - **Sustained Above-Average Volume**: Strong trend continuation likely - **Volume Decline After Spike**: Potential exhaustion of trend ## Settings - **Relative Volume Lookback**: Comparison period for average volume (default: 20) - **Moving Average Type**: Method used for smoothing (default: SMA) - **Moving Average Length**: Smoothing period (default: 5) - **Show Moving Average**: Toggle overall volume MA visibility - **Show Baseline**: Toggle 1.0 reference line visibility - **Show Bullish/Bearish MAs**: Toggle direction-specific MA visibility ## Best Practices This indicator performs best when combined with price action analysis and other indicators. Look for: 1. Volume confirmation of breakouts and trend changes 2. Divergence between price movement and volume direction 3. Shifts in the relationship between bullish and bearish MAs 4. Unusual volume patterns during consolidation phases Particularly effective for swing trading, day trading, and identifying institutional participation in market moves across multiple timeframes.
Indicatore Pine Script®
di ky_yule1010
1
Relative Historical Volatility MCMRelative Historical Volatility Historical Volatility is relative to it's doubled lookback period of the historical volatility to calculate relative historical volatility. Including a standard deviation to calculate the volatility value itself is useless. It filters out 32% of the most volatile movements of the asset that you are observing. Example of RHV: Period of Volatility Value (POVV) : 10 Relative Historical Volatility : POVV / POVV*2 Historical Volatility of past 10 Bars is compared to the historical volatility of the bast 20 bars to show real growth/decrease of volatility relative to the time of the performing asset. Comparing historical volatility to the current bar includes much more noise, the relative historical volatility can be perceived as a smoothed historical volatility ind. Marginal notes: Added standard deviations adjusted to the relative volatility value to predict probable future volatility of the stock.
Indicatore Pine Script®
di UnknownUnicorn5507594
Relative Performance Spread**Relative Performance Spread Indicator – Overview** This indicator compares the **relative performance between two stocks** by normalizing their prices and calculating the **spread**, **area under the curve (AUC)**, or **normalized price ratio**. ### **How It Works** * **Input**: Select a second stock (`ticker2`) and a moving average window. * **Normalization**: Each stock is normalized by its own moving average → `norm = close / MA`. * **Spread**: The difference `spread = norm1 - norm2` reflects which stock is outperforming. * **AUC**: Cumulative spread over time shows prolonged dominance or underperformance. * **Bounds**: Bollinger-style bands are drawn around the spread to assess deviation extremes. ### **Usage** * **Plot Type Options**: * `"Spread"`: Spot outperformance; crossing bands may signal rotation. * `"AUC"`: Track long-term relative trend dominance. * `"Normalized"`: Directly compare scaled price movements. Use this tool for **pair trading**, **relative momentum**, or **rotation strategies**. It adapts well across assets with different price scales.
Indicatore Pine Script®
di gunnjac
Adaptable Relative Momentum Index [ParadoxAlgo]The Adaptable Relative Momentum Index (RMI) by ParadoxAlgo is an advanced momentum-based indicator that builds upon the well-known RSI (Relative Strength Index) concept by introducing a customizable momentum length. This indicator measures price momentum over a specified number of periods and applies a Rolling Moving Average (RMA) to both the positive and negative price changes. The result is a versatile tool that can help traders gauge the strength of a trend, pinpoint overbought/oversold levels, and potentially identify breakout opportunities. ⸻ Smart Configuration Feature What sets this version of the RMI apart is ParadoxAlgo’s exclusive “Smart Configuration” functionality. Instead of manually adjusting parameters, traders can simply select their Asset Class (e.g., Stocks, Forex, Futures/Indices, Crypto, Commodities) and Trading Style (e.g., Scalping, Day Trading, Swing Trading, Short-Term Investing, Long-Term Investing). Based on these selections, the indicator automatically optimizes its core parameters: • Length – The period over which the price changes are smoothed. • Momentum Length – The number of bars used to calculate the price change. By automating this process, users save time on tedious trial-and-error adjustments, ensuring that the RMI’s settings are tailored to the characteristics of specific markets and personal trading horizons. ⸻ Key Features & Benefits 1. Momentum-Based Insights • Uses RMA to smooth price movements, helping identify shifts in market momentum more clearly than a basic RSI. • Enhanced adaptability for a wide range of asset classes and time horizons. 2. Simple Yet Powerful Configuration • Smart Configuration automatically sets optimal parameter values for each combination of asset class and trading style. • Eliminates guesswork and manual recalibration when switching between markets or timeframes. 3. Overbought & Oversold Visualization • Integrated highlight zones mark potential overbought and oversold extremes (default at 80 and 20). • Optional breakout highlighting draws attention to times when the indicator crosses these key thresholds, helping spot possible entry or exit signals. 4. Intuitive Design & Ease of Use • Clean plotting and color-coded signal lines make it easy to interpret bullish or bearish shifts in momentum. • Straightforward dropdown menus keep the interface user-friendly, even for novice traders. ⸻ Practical Applications • Early Trend Detection: Spot emerging trends when the RMI transitions from oversold to higher levels or vice versa. • Breakout Confirmation: Confirm potential breakout trades by tracking overbought/oversold breakouts alongside other technical signals. • Support/Resistance Confluence: Combine RMI signals with horizontal support/resistance levels to reinforce trade decisions. • Trade Timing: Quickly gauge when momentum could be shifting, helping you time entries and exits more effectively. ⸻ Disclaimer As with any technical indicator, the Adaptable Relative Momentum Index should be used as part of a broader trading strategy that includes risk management, fundamental analysis, and other forms of technical confirmation. Past performance does not guarantee future results. ⸻ Enjoy using the Adaptable RMI and experience a more streamlined, flexible approach to momentum analysis. Feel free to explore different asset classes and trading styles to discover which configurations resonate best with your unique trading preferences.
Indicatore Pine Script®
di paradoxalgo
Relative Vigour Index (RVI). EhlersRelative Vigor Index - RVI ------------------------------------ An indicator used in technical analysis that measures the conviction of a recent price action and the likelihood that it will continue. The RVI compares the positioning of a security's closing price relative to its price range, and the result is smoothed by calculating an exponential moving average of the values. The RVI indicator is calculated in a similar fashion to the stochastic oscillator, but the vigor index compares the close relative to the open rather than to the low. Traders expect the RVI value to grow as the bullish trend gains momentum because in this type of environment, a security's closing price tends to be at the top of the range while the open is near the low of the day. Usage Example: www.investopedia.com
Indicatore Pine Script®
di hecate
2
Relative Volume (RV)Relative Volume take the volume at a given time of day and compares it to the average volume at that time of day. You can either use the current volume or the cumulative volume in this analysis. You have the option to either see the average and the current volume or a comparative view where you see the percent difference between now and the average. My implementation of relative volume uses a key-value pair to simplify the process of getting the average volume for the time of day. This reduces the lines of code needed and makes it easier to understand. I have added the normal features you would find in a relative volume indicator with the addition of an average above/below average section for comparing the significance of above/below average moves are. I hope this script is not only useful but educational. Enjoy
Indicatore Pine Script®
di The_Peaceful_Lizard
Relative Volume (RVOL)Relative Volume is calculated by taking the ratio of current volume relative to a moving average of your choice. It gives you a quick way to see how much volume is involved in the current movement relative to a recent period. Features: -Customizable Moving Average: You can choose the period (default is 21) and type (SMA or EMA) -Customizable base level: Default setting is 1. -Smoothing option: Uses a Hull moving average to smooth out the RVOL area plot, by default its turned off. Enjoy!
Indicatore Pine Script®
di FractalTrade_
2
Relative StrengthRelative Strength show the quotient (ratio) between a numerator (Your Security) and a common denominator (SPX, BTC, ...). I inspired myself from already established indicators. But I've made my own because I had some issues with others. Sometimes the moving average weren't fixed but where floating through the window. Sometimes the colors (Up, Down) were inaccurate because the compiler didn't notice infinitesimal changes (0.0001 > 0.0002) Thanks. (The Relative Strength indicator is at the top of the chart.)
Indicatore Pine Script®
di Capeya
4
Relative Strength Index of EU and US Stock Index Trends quality//Relative Strength Index of European and US Stock Index Trends quality //This indicator reveals the relative strength of European and US stock index futures. //take Bull trend as an example , the current closed price>EMA20 value and the current closed price >20th previous bar closed price( deduction price), //it's defined as a lower level bull trend .If the current price EMA20>EMA60, it's defined as a higher level bull trend .If the EMA20>EMA60>EMA120,it's defined as the highest level bull trend. //You can choose to draw the curve with the deviation rate of the original major indexes to 20EMA, or draw the deviation rate with the average value (default value is 5 bars). //In addition, a more technical method is added to analyze the deviation changes of the major indexes.The deviation rate changing velocity value, parameter tan (abbreviated by t) of 1, 2, 5, 10 is introduced. //You can have the option of calculate the tan using average value of 5 candlesticks or original value. //Taking tan1 as an example, it indicates how much the deviation rate between the current price and the previous candlestick has changed. //The indicator of the index color and the description of the trend quality color can be switched off in option. //In addition, this code color scheme is only suitable for black background (the code color needs to be changed by yourself if you use white background).
Indicatore Pine Script®
di IcemanRan
2
Ehlers Adaptive Relative Vigor Index [CC]The Adaptive Relative Vigor Index was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pgs 140-141) and it does a pretty good job of capturing the peaks and valleys of the underlying data. There are several ways to read this particular indicator so for long term trades then buy when it goes above 0 and sell when it falls below 0 or for shorter term trades then buy when the indicator line turns green and sell when it turns red. Let me know if there are other indicators you would like to see me publish or if you want something custom done!
Indicatore Pine Script®
di cheatcountry
7
RelativeValue█  OVERVIEW This library is a Pine Script™ programmer's tool offering the ability to compute relative values, which represent comparisons of current data points, such as volume, price, or custom indicators, with their analogous historical data points from corresponding time offsets. This approach can provide insightful perspectives into the intricate dynamics of relative market behavior over time. █  CONCEPTS Relative values In this library, a relative value is a metric that compares a current data point in a time interval to an average of data points with corresponding time offsets across historical periods. Its purpose is to assess the significance of a value by considering the historical context within past time intervals. For instance, suppose we wanted to calculate relative volume on an hourly chart over five daily periods, and the last chart bar is two hours into the current trading day. In this case, we would compare the current volume to the average of volume in the second hour of trading across five days. We obtain the relative volume value by dividing the current volume by this average. This form of analysis rests on the hypothesis that substantial discrepancies or aberrations in present market activity relative to historical time intervals might help indicate upcoming changes in market trends. Cumulative and non-cumulative values In the context of this library, a cumulative value refers to the cumulative sum of a series since the last occurrence of a specific condition (referred to as `anchor` in the function definitions). Given that relative values depend on time, we use time-based conditions such as the onset of a new hour, day, etc. On the other hand, a non-cumulative value is simply the series value at a specific time without accumulation. Calculating relative values Four main functions coordinate together to compute the relative values: `maintainArray()`, `calcAverageByTime()`, `calcCumulativeSeries()`, and `averageAtTime()`. These functions are underpinned by a `collectedData` user-defined type (UDT), which stores data collected since the last reset of the timeframe along with their corresponding timestamps. The relative values are calculated using the following procedure:  1. The `averageAtTime()` function invokes the process leveraging all four of the methods and acts as the main driver of the calculations. For each bar, this function adds the current bar's source and corresponding time value to a `collectedData` object.  2. Within the `averageAtTime()` function, the `maintainArray()` function is called at the start of each anchor period. It adds a new `collectedData` object to the array and ensures the array size does not exceed the predefined `maxSize` by removing the oldest element when necessary. This method plays an essential role in limiting memory usage and ensuring only relevant data over the desired number of periods is in the calculation window.  3. Next, the `calcAverageByTime()` function calculates the average value of elements within the `data` field for each `collectedData` object that corresponds to the same time offset from each anchor condition. This method accounts for cases where the current index of a `collectedData` object exceeds the last index of any past objects by using the last available values instead.  4. For cumulative calculations, the `averageAtTime()` function utilizes the `isCumulative` boolean parameter. If true, the `calcCumulativeSeries()` function will track the running total of the source data from the last bar where the anchor condition was met, providing a cumulative sum of the source values from one anchor point to the next. To summarize, the `averageAtTime()` function continually stores values with their corresponding times in a `collectedData` object for each bar in the anchor period. When the anchor resets, this object is added to a larger array. The array's size is limited by the specified number of periods to be averaged. To correlate data across these periods, time indexing is employed, enabling the function to compare corresponding points across multiple periods. █  USING THIS LIBRARY The library simplifies the complex process of calculating relative values through its intuitive functions. Follow the steps below to use this library in your scripts. Step 1: Import the library and declare inputs Import the library and declare variables based on the user's input. These can include the timeframe for each period, the number of time intervals to include in the average, and whether the calculation uses cumulative values. For example: //@version=5 import TradingView/RelativeValue/1 as TVrv indicator("Relative Range Demo") string resetTimeInput = input.timeframe("D") int lengthInput = input.int(5, "No. of periods") Step 2: Define the anchor condition With these inputs declared, create a condition to define the start of a new period (anchor). For this, we use the change in the time value from the input timeframe: bool anchor = timeframe.change(resetTimeInput) Step 3: Calculate the average At this point, one can calculate the average of a value's history at the time offset from the anchor over a number of periods using the `averageAtTime()` function. In this example, we use True Range (TR) as the `source` and set `isCumulative` to false: float pastRange = TVrv.averageAtTime(ta.tr, lengthInput, anchor, false) Step 4: Display the data You can visualize the results by plotting the returned series. These lines display the non-cumulative TR alongside the average value over `lengthInput` periods for relative comparison: plot(pastRange, "Past True Range Avg", color.new(chart.bg_color, 70), 1, plot.style_columns) plot(ta.tr, "True Range", close >= open ? color.new(color.teal, 50) : color.new(color.red, 50), 1, plot.style_columns) This example will display two overlapping series of columns. The green and red columns depict the current TR on each bar, and the light gray columns show the average over a defined number of periods, e.g., the default inputs on an hourly chart will show the average value at the hour over the past five days. This comparative analysis aids in determining whether the range of a bar aligns with its typical historical values or if it's an outlier. █  NOTES  • The foundational concept of this library was derived from our initial Relative Volume at Time script. This library's logic significantly boosts its performance. Keep an eye out for a forthcoming updated version of the indicator. The demonstration code included in the library emulates a streamlined version of the indicator utilizing the library functions.  • Key efficiencies in the data management are realized through array.binary_search_leftmost() , which offers a performance improvement in comparison to its loop-dependent counterpart.  • This library's architecture utilizes user-defined types (UDTs) to create custom objects which are the equivalent of variables containing multiple parts, each able to hold independent values of different types . The recently added feature was announced in this blog post.  • To enhance readability, the code substitutes array functions with equivalent methods . Look first. Then leap. █  FUNCTIONS This library contains the following functions: calcCumulativeSeries(source, anchor)   Calculates the cumulative sum of `source` since the last bar where `anchor` was `true`.   Parameters:      source (series float) : Source used for the calculation.      anchor (series bool) : The condition that triggers the reset of the calculation. The calculation is reset when `anchor` evaluates to `true`, and continues using the values accumulated since the previous reset when `anchor` is `false`.   Returns: (float) The cumulative sum of `source`. averageAtTime(source, length, anchor, isCumulative)   Calculates the average of all `source` values that share the same time difference from the `anchor` as the current bar for the most recent `length` bars.   Parameters:      source (series float) : Source used for the calculation.      length (simple int) : The number of reset periods to consider for the average calculation of historical data.      anchor (series bool) : The condition that triggers the reset of the average calculation. The calculation is reset when `anchor` evaluates to `true`, and continues using the values accumulated since the previous reset when `anchor` is `false`.      isCumulative (simple bool) : If `true`, `source` values are accumulated until the next time `anchor` is `true`. Optional. The default is `true`.   Returns: (float) The average of the source series at the specified time difference.
Libreria Pine Script®
di TradingView
10
Metaphor Vigour Ratio### **Script Name:** Metaphor Vigour Ratio **Short Title:** Metaphor Vigour Ratio **Author:** Sovit Manjani, CMT **Description:** The Metaphor Vigour Ratio (MVRatio) is a powerful Relative Strength Indicator designed for assessing normalized relative strength. It is versatile and can be applied to any script or used to rank symbols based on their intermarket relative strength. --- ### **Features:** 1. **Bullish and Bearish Signals:** - **Above 100:** Indicates a bullish trend. - **Below 100:** Indicates a bearish trend. 2. **Trend Analysis with Slope:** - **Slope Rising:** Suggests bullish momentum. - **Slope Falling:** Suggests bearish momentum. 3. **Stock Selection Strategy:** - Identify and rank stocks based on the MVRatio. For example, buy the top 10 stocks of Nifty with the highest MVRatio values for strong performance potential. --- ### **Inputs:** 1. **Fast EMA Period (RSEMAFast):** Default set to 10. Controls the sensitivity of the Fast Moving Average. 2. **Slow EMA Period (RSEMASlow):** Default set to 30. Provides a stable trend base with the Slow Moving Average. 3. **Smooth EMA Period (SmoothEMA):** Default set to 3. Smooths the MVRatio for better clarity. 4. **Close Source:** Default is the closing price, but it can be customized as needed. 5. **Comparative Symbol (ComparativeTickerId):** Default is "NSE:NIFTY," allowing comparison against a benchmark index. --- ### **Calculation Logic:** 1. **Relative Strength (RS):** - Calculated as the ratio of the base symbol's price to the comparative symbol's price. 2. **Exponential Moving Averages (FastMA and SlowMA):** - Applied to the RS to smooth and differentiate trends. 3. **Metaphor Vigour Ratio (MVRatio):** - Computed as the ratio of FastMA to SlowMA, scaled by 100, and further smoothed using SmoothEMA. --- ### **Visualization:** 1. **MVRatio Plot (Blue):** - Represents the relative strength dynamics. 2. **Reference Line at 100 (Gray):** - Helps quickly identify bullish (above 100) and bearish (below 100) zones. --- ### **How to Use:** 1. Add the indicator to your chart from TradingView's Pine Script editor. 2. Compare the performance of any symbol relative to a benchmark (e.g., Nifty). 3. Analyze trends, slopes, and ranking based on MVRatio values to make informed trading decisions. --- **Note:** This indicator is for educational purposes and should be used alongside other analysis methods to make trading decisions.
Indicatore Pine Script®
di YUBHA