Relativestregthindex — Indicators and Strategies — TradingView

RSI Min/Max Tracker - HD Algo RSI Min/Max Tracker – HD Algo RSI Min/Max Tracker is a momentum analysis indicator designed to enhance traditional RSI usage by continuously tracking the lowest and highest RSI values reached over the visible chart history. This provides immediate context on whether the current RSI is relatively extended or compressed compared to prior market behavior. How it works Calculates the Relative Strength Index (RSI) using a user-defined length and price source. Dynamically records the minimum and maximum RSI values observed since the indicator started. Updates these extremes in real time as new bars form. Visual elements RSI Line (Blue): The current RSI value. Lowest RSI (Red): The historical minimum RSI reached. Highest RSI (Green): The historical maximum RSI reached. Reference Levels: 70 – Overbought (dashed red) 50 – Midline (dotted gray) 30 – Oversold (dashed green) Info Table A compact table in the top-right corner displays: Current RSI Lowest recorded RSI Highest recorded RSI Use cases Identify whether RSI is near historical extremes. Improve overbought/oversold context beyond fixed 30/70 levels. Support mean-reversion, momentum, and divergence-based strategies. Best used for Intraday and swing traders who want a clearer perspective on RSI behavior relative to recent market conditions, rather than relying solely on static thresholds.

RSI Support & Resistance Breakouts with Orderblocks This tool is an overly simplified method of finding market squeeze and breakout completely based on a dynamic RSI calculation. It is designed to draw out areas of price levels where the market is pushing back against price action leaving behind instances of short term support and resistance levels you otherwise wouldn't see with the common RSI. It uses the changes in market momentum to determine support and resistance levels in real time while offering price zone where order blocks exist in the short term. In ranging markets we need to know a couple things. 1. External Zone - It's important to know where the highs and lows were left behind as they hold liquidity. Here you will have later price swings and more false breakouts. 2. Internal Zone - It's important to know where the highest and lowest closing values were so we can see the limitations of that squeeze. Here you will find the stronger cluster of orders often seen as orderblocks. In this tool I've added a 200 period Smoothed Moving Average as a trend filter which causes the RSI calculation to change dynamically. Regular Zones - without extending The Zones draw out automatically but are often too small to work with. To solve this problem, you can extend the zones into the future up to 40 bars. This allows for more visibility against future price action. -------------------------------------------- Two Types of Zones External Zones - These zones give you positioning of the highest and lowest price traded within the ranging market. This is where liquidity will be swept and often is an ultimate breaking point for new price swings. How to use them : External Zones - External zones form at the top of a pullback. After this price should move back into its impulsive wave. During the next corrective way, if price breaches the top of the previous External Zone, this is a sign of trend weakness. Expect a divergence and trend reversal. Internal Zones - (OrderBlocks) Current price will move in relation to previous internal zones. The internal zone is where a majority of price action and trading took place. It's a stronger SQUEEZE area. Current price action will often have a hard time closing beyond the previous Internal Zones high or low. You can expect these zones to show you where the market will flip over. In these same internal zones you'll find large rejection candles. **Important Note** Size Doesn't Matter The size of the internal zone does not matter. It can be very small and still very powerful. Once an internal zone has been hit a few times, its often not relevant any longer. Order Block Zone Examples In this image you can see the Internal Zone that was untouched had a STRONG price reaction later on. Internal Zones that were touched multiple times had weak reactions later as price respected them less over time. Zone Overlay Breakdown The Zones form and update in real time until momentum has picked up and price begins to trend. However it leaves behind the elements of the inducement area and all the key levels you need to know about for future price action. Resistance Fakeout : Later on after the zone has formed, price will return to this upper zone of price levels and cause fakeouts. A close above this zone implies the market moves long again. Midline Equilibrium : This is simply the center of the strongest traded area. We can call this the Point of Control within the orderblock. If price expands through both extremes of this zone multiple times in the future, it eliminates the orderblock. Support Fakeout : Just like its opposing brother, price will wick through this zone and rip back causing inducement to trap traders. You would need a clear close below this zone to be in a bearish trend. BARCOLOR or Candle Color: (Optional) Bars are colored under three conditions Bullish Color = A confirmed bullish breakout of the range. Bearish Color = A confirmed bearish breakout of the range. Squeeze Color = Even if no box is formed a candle or candles can have a squeeze color. This means the ranging market happened within the high and low of that singular candle.

Adaptive RSI with Real-Time Divergence [AIBitcoinTrend]👽 Adaptive RSI Trailing Stop (AIBitcoinTrend) The Adaptive RSI Trailing Stop is an indicator that integrates Gaussian-weighted RSI calculations with real-time divergence detection and a dynamic ATR-based trailing stop. This advanced approach allows traders to monitor momentum shifts, identify divergences early, and manage risk with adaptive trailing stop levels that adjust to price action. 👽 What Makes the Adaptive RSI with Signals and Trailing Stop Unique? Unlike traditional RSI indicators, this version applies a Gaussian-weighted smoothing algorithm, making it more responsive to price action while reducing noise. Additionally, the trailing stop feature dynamically adjusts based on volatility and trend conditions, allowing traders to: Detects real-time divergences (bullish/bearish) with a smart pivot-based system. Filter noise with Gaussian weighting, ensuring smoother RSI transitions. Utilize crossover-based trailing stop activation, for systematic trade management. 👽 The Math Behind the Indicator 👾 Gaussian Weighted RSI Calculation Traditional RSI calculations rely on simple averages of gains and losses. Instead, this indicator weights recent price changes using a Gaussian distribution, prioritizing more relevant data points while maintaining smooth transitions. Key Features: Exponential decay ensures recent price changes are weighted more heavily. Reduces short-term noise while maintaining responsiveness. 👾 Real-Time Divergence Detection The indicator detects bullish and bearish divergences using pivot points on RSI compared to price action. 👾 Dynamic ATR-Based Trailing Stop Bullish Trailing Stop: Activates when RSI crosses above 20 and dynamically adjusts based on low - ATR multiplier. Bearish Trailing Stop: Activates when RSI crosses below 80 and adjusts based on high + ATR multiplier This allows traders to: Lock in profits systematically by adjusting stop-losses dynamically. Stay in trades longer while maintaining adaptive risk management. 👽 How It Adapts to Market Movements ✔️ Gaussian Filtering ensures smooth RSI transitions while preventing excessive lag. ✔️ Real-Time Divergence Alerts provide early trade signals based on price-RSI discrepancies. ✔️ ATR Trailing Stop dynamically expands or contracts based on market volatility. ✔️ Crossover-Based Activation enables the stop-loss system only when RSI confirms a momentum shift. 👽 How Traders Can Use This Indicator 👾 Divergence Trading Traders can use real-time divergence detection to anticipate reversals before they happen. Bullish Divergence Setup: Look for RSI making a higher low, while price makes a lower low. Enter long when RSI confirms upward momentum. Bearish Divergence Setup: Look for RSI making a lower high, while price makes a higher high. Enter short when RSI confirms downward momentum. 👾 Trailing Stop Signals Bullish Signal and Trailing Stop Activation: When RSI crosses above 20, a trailing stop is placed using low - ATR multiplier. If price crosses below the stop, it exits the trade and removes the stop. Bearish Signal and Trailing Stop Activation: When RSI crosses below 80, a trailing stop is placed using high + ATR multiplier. If price crosses above the stop, it exits the trade and removes the stop. This makes trend-following strategies more efficient, while ensuring proper risk management. 👽 Why It’s Useful for Traders ✔️ Dynamic and Adaptive: Adjusts to changing market conditions automatically. ✔️ Noise Reduction: Gaussian-weighted RSI reduces short-term price distortions. ✔️ Comprehensive Strategy Tool: Combines momentum detection, divergence analysis, and automated risk management into a single indicator. ✔️ Works Across Markets & Timeframes: Suitable for stocks, forex, crypto, and futures trading. 👽 Indicator Settings RSI Length: Defines the lookback period for RSI smoothing. Gaussian Sigma: Controls how much weight is given to recent data points. Enable Signal Line: Option to display an RSI-based moving average. Divergence Lookback: Configures how far back pivot points are detected. Crossover/crossunder values for signals: Set the crossover/crossunder values that triggers signals. ATR Multiplier: Adjusts trailing stop sensitivity to market volatility. Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.

Money Flow Extended Money Flow Extended (MF) Definition The Money Flow Extended (MF) indicator brings together the functionality of the Money Flow Index indicator (MFI) , a tool created by Gene Quong and Avrum Soudack and used in technical analysis for measuring buying and selling pressure, and The Relative Strength Index (RSI) , a well versed momentum based oscillator created by J.Welles Wilder Jr., which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. History As the Money Flow Index (MFI) is quite similar to The Relative Strength Index (RSI), essentially the RSI with the added aspect of volume, adding a Moving Average, divergence calculation, oversold and overbought gradients, facilitates the transition from RSI, making the use of MFI pretty similar. What to look for Overbought/Oversold When momentum and price rise fast enough, at a high enough level, eventual the security will be considered overbought. The opposite is also true. When price and momentum fall far enough, they can be considered oversold. Traditional overbought territory starts above 80 and oversold territory starts below 20. These values are subjective however, and a technical analyst can set whichever thresholds they choose. Divergence MF Divergence occurs when there is a difference between what the price action is indicating and what MF is indicating. These differences can be interpreted as an impending reversal. Specifically, there are two types of divergences, bearish and bullish. Bullish MFI Divergence – When price makes a new low but MF makes a higher low. Bearish MFI Divergence – When price makes a new high but MF makes a lower high. Failure Swings Failure swings are another occurrence which can lead to a price reversal. One thing to keep in mind about failure swings is that they are completely independent of price and rely solely on MF. Failure swings consist of four steps and are considered to be either Bullish (buying opportunity) or Bearish (selling opportunity). Bullish Failure Swing MF drops below 20 (considered oversold). MF bounces back above 20. MF pulls back but remains above 20 (remains above oversold) MF breaks out above its previous high. Bearish Failure Swing MF rises above 80 (considered overbought) MF drops back below 80 MF rises slightly but remains below 80 (remains below overbought) MF drops lower than its previous low. Summary The Money Flow Extended (MF) can be a very valuable technical analysis tool. Of course, MF should not be used alone as the sole source for a trader’s signals or setups. MF can be combined with additional indicators or chart pattern analysis to increase its effectiveness. Inputs Length The time period to be used in calculating the MF. 14 is the default. Pivot Loopback After how many bars you want the divergence to show, on the scale of 1-5. 5 is the default. Calculate Divergence Calculating divergences is needed in order for divergence alerts to fire. Moving Average section You can learn more about the inputs in the "Moving Average" section in this Help Center article . Style MF Can toggle the visibility of the MF as well as the visibility of a price line showing the actual current value of the MF. Can also select the MF Line's color, line thickness and visual style. MF-based MA Can toggle the visibility of the MF-based MA as well as the visibility of a price line showing the actual current MA value. Can also select its color, line thickness and line style. MF Upper Band Can toggle the visibility of the Upper Band as well as sets the boundary, on the scale of 1-100, for the Upper Band (80 is the default). The color, line thickness and line style can also be determined. MF Middle Band Can toggle the visibility of the Middle Band as well as sets the boundary, on the scale of 1-100, for the Middle Band (50 is the default). The color, line thickness and line style can also be determined. MF Lower Band Can toggle the visibility of the Lower Band as well as sets the boundary, on the scale of 1-100, for the Lower Band (20 is the default). The color, line thickness and line style can also be determined. MF Background Fill Toggles the visibility of a Background color within the MF's boundaries. Can also change the Color itself as well as the opacity. Overbought Gradient Fill Can toggle the visibility of the Overbought Gradient Fill. Can also select its colors combination. Oversold Gradient Fill Can toggle the visibility of the Oversold Gradient Fill. Can also select its colors combination. Precision Sets the number of decimal places to be left on the indicator's value before rounding up. The higher this number, the more decimal points will be on the indicator's value.

Adapted RSI w/ Multi-Asset Regime Detection v1.1 The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of an asset's recent price changes to detect overbought or oversold conditions in the price of said asset. In addition to identifying overbought and oversold assets, the RSI can also indicate whether your desired asset may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell. The RSI will oscillate between 0 and 100. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition. The RSI is one of the most popular technical indicators. I intend to offer a fresh spin. Adapted RSI w/ Multi-Asset Regime Detection Our Adapted RSI makes necessary improvements to the original Relative Strength Index (RSI) by combining multi-timeframe analysis with multi-asset monitoring and providing traders with an efficient way to analyse market-wide conditions across different timeframes and assets simultaneously. The indicator automatically detects market regimes and generates clear signals based on RSI levels, presenting this data in an organised, easy-to-read format through two dynamic tables. Simplicity is key, and having access to more RSI data at any given time, allows traders to prepare more effectively, especially when trading markets that "move" together. How we calculate the RSI First, the RSI identifies price changes between periods, calculating gains and losses from one look-back period to the next. This look-back period averages gains and losses over 14 periods, which in this case would be 14 days, and those gains/losses are calculated based on the daily closing price. For example: Average Gain = Sum of Gains over the past 14 days / 14 Average Loss = Sum of Losses over the past 14 days / 14 Then we calculate the Relative Strength (RS): RS = Average Gain / Average Loss Finally, this is converted to the RSI value: RSI = 100 - (100 / (1 + RS)) Key Features Our multi-timeframe RSI indicator enhances traditional technical analysis by offering synchronised Daily, Weekly, and Monthly RSI readings with automatic regime detection. The multi-asset monitoring system allows tracking of up to 10 different assets simultaneously, with pre-configured major pairs that can be customised to any asset selection. The signal generation system provides clear market guidance through automatic regime detection and a five-level signal system, all presented through a sophisticated visual interface with dynamic RSI line colouring and customisable display options. Quick Guide to Use it Begin by adding the indicator to your chart and configuring your preferred assets in the "Asset Comparison" settings. Position the two information tables according to your preference. The main table displays RSI analysis across three timeframes for your current asset, while the asset table shows a comparative analysis of all monitored assets. Signals are colour-coded for instant recognition, with green indicating bullish conditions and red for bearish conditions. Pay special attention to regime changes and signal transitions, using multi-timeframe confluence to identify stronger signals. How it Works (Regime Detection & Signals) When we say 'Regime', a regime is determined by a persistent trend or in this case momentum and by leveraging this for RSI, which is a momentum oscillator, our indicator employs a relatively simple regime detection system that classifies market conditions as either Bullish (RSI > 50) or Bearish (RSI < 50). Our benchmark between a trending bullish or bearish market is equal to 50. By leveraging a simple classification system helps determine the probability of trend continuation and the weight given to various signals. Whilst we could determine a Neutral regime for consolidating markets, we have employed a 'neutral' signal generation which will be further discussed below... Signal generation occurs across five distinct levels: Strong Buy (RSI < 15) Buy (RSI < 30) Neutral (RSI 30-70) Sell (RSI > 70) Strong Sell (RSI > 85) Each level represents different market conditions and probability scenarios. For instance, extreme readings (Strong Buy/Sell) indicate the highest probability of mean reversion, while neutral readings suggest equilibrium conditions where traders should focus on the overall regime bias (Bullish/Bearish momentum). This approach offers traders a new and fresh spin on a popular and well-known tool in technical analysis, allowing traders to make better and more informed decisions from the well presented information across multiple assets and timeframes. Experienced and beginner traders alike, I hope you enjoy this adaptation.

Korneev Reverse RSI Rethinking the Legendary Relative Strength Index by John Welles Wilder The essence of the new approach lies in the reverse use of the so-called "overbought" and "oversold" zones. In his 1978 book, "New Concepts in Technical Trading Systems," where the RSI mechanism was thoroughly described, Wilder writes that one way to use the oscillator is to open a long position when the RSI drops into oversold territory (below 30) and to open a short position when the RSI rises to overbought levels (above 70). However, backtesting this strategy with such inputs yields rather mediocre results. Based on the calculation formula, the RSI calculates the rate of price change over a certain period. Therefore, overbought and oversold zones will have relative significance (relative to the set calculation period). It is no coincidence that the word "relative" was added to the name of the oscillator. It is worth accepting as an axiom the assertion that the price of an asset is fair at every moment in time. Essentially, the RSI calculates the strength of a trend. If the oscillator value is above 70, it is highly likely that an upward movement is occurring in the market. Therefore, in the current strategy, a long position is opened precisely at the moment of greatest buyer strength (when RSI > 80), i.e., in the direction of the trend, since counter-trend trading with the RSI has proven to be ineffective. The position is closed after the buyers lose their advantage and the RSI drops to 40. The strategy is recommended to be used only with long positions, as short positions show negative results. The strategy uses a moving average for the RSI with a period of 14 to smooth the oscillator data. -------------------------------------------------------------------------------------------- Переосмысление легендарного осциллятора Relative strength index Джона Уэллса Уайлдера Суть нового подхода заключается в реверсивном использовании так называемых зон "перекупленности" и "перепроданности". В своей книге от 1978 года "New concepts in tecnical trading systems", в которой был подробно описан механизм работы RSI, Уайлдер пишет, что один из способов использования осциллятора - открытие длинной позиции при снижении RSI в перепроданность (ниже 30) и открытие короткой позиции при повышении RSI до перекупленности (выше 70). Однако бэктест стратегии с такими вводными дает весьма посредственные результаты. Исходя из формулы расчета, RSI рассчитывает скорость изменения цены за определенный период. Поэтому зоны перекупленности и перепроданности будут иметь относительное значение (относительно установленного периода расчета). Не зря ведь в названии осциллятора было добавлено слово "относительной". Стоит принять за аксиому утверждение, что цена актива справедлива в каждый момент времени. По сути, RSI рассчитывает силу тренда. Если значение осциллятора выше 70, то на рынке с высокой долей вероятности происходит восходящее движение. Поэтому в текущей стратегии открытие лонга происходит именно в момент наибольшей силы покупателей (когда RSI > 80), то есть в сторону тренда, поскольку контртрендовая торговля по RSI показала свою несостоятельность. Закрытие позиции происходит после того, как покупатели теряют преимущество и RSI снижается до 40. Стратегию рекомендуется использовать только с длинными позициями, поскольку короткие позиции показывают отрицательный результат. В стратегии используется скользящая средняя для RSI с периодом 14 для сглаживания данных осциллятора.

RSI Multi Strategies With Overlay Signals Hello everyone, In this indicator, you will find 6 different entry and exit signals based on the RSI : Entry into overbought and oversold zones Exit from overbought and oversold zones Crossing the 50 level RSI cross RSI MA below or above the 50 level RSI cross RSI MA in the overbought or oversold zones RSI Divergence With the signals identified, you can create your own strategy . (If you have any suggestions, please mention them in the comments). Beyond these signals, you can set SL (Stop Loss) and TP (Take Profit) levels to better manage your positions. SL Methods: Percentage: The stop loss is determined by the percentage you specify. ATR : The stop level is determined based on the Average True Range (ATR). TP Methods: Percentage: The take profit is determined by the percentage you specify. RR ( Risk Reward ): The take profit level is determined based on the distance from the stop level. You can mix and match these options as you like. What makes the indicator unique and effective is its ability to display the RSI in the bottom chart and the signals, SL (Stop Loss), and TP (Take Profit) levels in the overlay chart simultaneously. This feature allows you to manage your trading quickly and easily without the need for using two separate indicators. Let's try out a few strategies together. My entry signal: RSI Entered OS (Oversold) Zone My exit signal: RSI Entered OB (Overbought) Zone I'm not using a stoploss for this strategy ("Fortune favors the brave"). Let's keep ourselves safe by adding a stop loss. I'm adding an ATR-based stop loss. I think it's better now. If you have any questions or suggestions about the indicator, you can contact me. Cheers

RSI Volatility Bands [QuantraSystems]RSI Volatility Bands Introduction The RSI Volatility Bands indicator introduces a unique approach to market analysis by combining the traditional Relative Strength Index (RSI) with dynamic, volatility adjusted deviation bands. It is designed to provide a highly customizable method of trend analysis, enabling investors to analyze potential entry and exit points in a new and profound way. The deviation bands are calculated and drawn in a manner which allows investors to view them as areas of dynamic support and resistance. Legend Upper and Lower Bands - A dynamic plot of the volatility-adjusted range around the current price. Signals - Generated when the RSI volatility bands indicate a trend shift. Case Study The chart highlights the occurrence of false signals, emphasizing the need for caution when the bands are contracted and market volatility is low. Juxtaposing this, during volatile market phases as shown, the indicator can effectively adapt to strong trends. This keeps an investor in a position even through a minor drawdown in order to exploit the entire price movement. Recommended Settings The RSI Volatility Bands are highly customisable and can be adapted to many assets with diverse behaviors. The calibrations used in the above screenshots are as follows: Source = close RSI Length = 8 RSI Smoothing MA = DEMA Bandwidth Type = DEMA Bandwidth Length = 24 Bandwidth Smooth = 25 Methodology The indicator first calculates the RSI of the price data, and applies a custom moving average. The deviation bands are then calculated based upon the absolute difference between the RSI and its moving average - providing a unique volatility insight. The deviation bands are then adjusted with another smoothing function, providing clear visuals of the RSI’s trend within a volatility-adjusted context. rsiVal = ta.rsi(close, rsiLength) rsiEma = ma(rsiMA, rsiVal, bandLength) bandwidth = ma(bandMA, math.abs(rsiVal - rsiEma), bandLength) upperBand = ma(bandMA, rsiEma + bandwidth, smooth) lowerBand = ma(bandMA, rsiEma - bandwidth, smooth) long = upperBand > 50 and not (lowerBand < lowerBand and lowerBand < 50) short= not (upperBand > 50 and not (lowerBand < lowerBand and lowerBand < 50)) By dynamically adjusting to market conditions, the RSI trend bands offer a unique perspective on market trends, and reversal zones.

RSI Radar Multi Time Frame Hello All! First of all many Thanks to Tradingview and Pine Team for developing Pine Language all the time! Now we have a new feature and it's called Polylines and I developed RSI Radar Multi Time Frame . This script is an example and experimental work, you can use it as you wish. The scripts gets RSI values from 6 different time frames, it doesn't matter the time frame you choose is higher/lower or chart time frame. it means that the script can get RSI values from higher or lower time frames than chart time frame. It's designed to show RSI Radar all the time on the chart even if you zoom in/out or scroll left/right. You can set OB/OS or RSI line colors. Also RSI polyline is shown as Curved/Hexagon optionally. Some screenshots here: Doesn't matter if you zoom out, it can show RSI radar in the visible area: Another example: You can change the colors, or see the RSI as Hexagon: Time frames from seconds to 1Day in this example while chart time frame is any ( 30mins here ) Enjoy!