Relative Strength OscillatorTracks an EMA and SMA of the 14 day RSI. Also avoids the market with 14 day RSI is above 90.
Buy when green, sell when red.
Cerca negli script per "Relative"
RSI Alligator Strategy [forked from jedireza]Backtester for RSI alligator is Williams Alligator strategy using Relative Strength Index to predict entries
Original script can be found at
Relative Strength Index - Divergences - LibertusHello all,
To ease everyone's trading experience I made this script which colors RSI overbought and oversold conditions and as a bonus displays bullish or bearish divergences in last 50 candles (by default, you can change it).
Script is open source, part of code is from Trading View examples. If you have suggestions or you already made some improvements, please report in comment.
Happy trading and good luck!
CSI - Currency strength indicator RSI 10This Indicator shows you the strength of the Currency in comparison for all other Main Currencys at the timeframe you choose.
The Currencys in this Indicator is: EUR, USD, GBP, CHF, AUD, CAD, JPY
The Base is the RSI (relative strength Indicator) with the following Currency pairs:
eurusd, eurgbp, euraud, eurjpy, eurcad, eurchf
usdeur, usdgbp, usdaud, usdjpy, usdcad, usdchf
gbpeur, gbpusd, gbpaud, gbpjpy, gbpcad, gbpchf
audeur, audusd, audgbp, audjpy, audcad, audchf
jpyeur, jpyusd, jpyaud, jpygbp, jpycad, jpychf
cadeur, cadusd, cadaud, cadgbp, cadjpy, cadchf
chfeur, chfusd, chfaud, chfgbp, chfjpy, chfcad
The letters in the LineChart:
EUR = E
USD = U
GBP = G
CHF = C
AUD = A
CAD = C
JPY = J
The CSI can help to see, if your trading pair have the potential to breakout on the support and resistance or if it more likely go back.
Some people say that the banks use this indicator.
NZD is missing there because Tradingview only support 6 variables.
If you have a solution for than, please let me know.
Thanks
RSMACDDefault MACD formula filtered by an RSCD, a Relative Strength Index midpoint transpose over a 21 length moving average.
Checking both filters the MACD with the RSCD.
Checking only the MACD plots only the MACD.
Checking only the RSCD plots only the RSCD.
Gain/Loss Moving Average [Cyrus c|:D]This is a simple momentum indicator. It calculates the moving average of gains and losses. As you can see in the chart above, gains have been decreasing in each wave which is also captured by this indicator. Its closest relative is RSI but unlike RSI it is not range bound. Divergence on indicators that are not range bound are generally more reliable.
Recommended settings:
- EMA as moving average type.
- EMA length 27 is equal to RSI length 14 (2 x RSI length - 1). You can sync the length on the two indicators using that equation.
- hlc3 (AKA typical price) as input source might be better than "close" as it captures more information. If you use hlc3 as a source, then change the chart type to line and set hlc3 as the source for identifying divergence.
PS: Let me know if you know any identical indicator. I may be re-inventing the wheel :)
Volume Factored Relative Strength Index (VFRSI)RSI is an indicator that is dependent only on price. I modified RSI to factor in volume as well. On BTC chart presented above, VFRSI is more accurate than RSI in detecting extreme conditions (green line is VFRSI). In some instances, it seems to be better than RSI in detecting divergences as well (scroll to March 2018).
In smaller time frames, it reduces the bart effect present on RSI without compromising responsiveness (unlike moving averages).
Features:
- Parameterized variables
- Includes regular RSI
- Includes an adjustable weight factor to reduce the effect of volume. At 0, it is identical to RSI.
PS: If you have seen a similar indicator, please let me know. Otherwise, this indicator has the potential to replace regular RSI.
Your feedback is very welcome :)
c|:D
Relative Strength Index with 4 ColorsThe values used by this indicator are equal to RSI 14. Only changes are made to looks:
If RSI is above 50%, then we are seeing green. Else, we are seeing red.
Another point is that depending on whether the RSI increases or decreases, we get two different color tones.
Plaid Stochastic / RSI Triple Combo Indicator [sclark39]Welcome to my "Plaid" Stochastic / RSI / StochRSI Combo indicator.
This shows the Fast and Slow Stochastic (orange and yellow), Relative Strength Index (white), and the Stochastic RSI (purple). As the lines cross the 80/20 and 70/30 lines, the background color changes to make it easy to see at a glance how many of the indicators have crossed their threshold. In the options you can change the period lengths and hide/show each of type of indicator to best fit your trading style.
Use this indicator for trades at your own risk, I made this for fun and it is not a trade recommendation.
That being said, if you like my work please tip me!
ETH: 0xf8E0Ea503B5c833fD4546E7fa2c70EcE42A27C8A
Please comment with feedback and requests!
RSI / Stoch / Stoch RSI (SRSI) Overlay [SigmaDraconis]Combines RSI, Stochastic and Stochastic RSI (SRSI) in only one indicator.
Most useful to better pick tops and bottoms on oversold and overbought levels.
I decided to write it since I felt the need to look at how all 3 behaved at once, relative to each.
If you like it, here are my tip jars:
BTC: 1CfBVcxmrx7Uxw3SYJWVGKZsEK698fwXP9
LTC: LXXt76wWTksLcM5qbbiAxfP1o8SoxwzDH2
BTS: sigma-draconis
Log-space Relative Strength IndexA version of RSI more usable for highly volatile charts and long-term trends
Simple Relative Strength IndexThis is a modified version of the base RSI indicator, which uses the Wilder's calculation with exponential MAs. This version uses simple MAs. Simple RSI is one of the indicators required for the Green Goose trading strategy, which you can learn about from OptionsPlayers.com .
QQE Cross Indicator Alert v2.0 by JustUncleLThis version of the indicator makes a distinction between the types of QQE cross alerts on the chart and now only recommends the Thresh Hold channel exit crosses for BUY/SELL alerts, the other two types of crosses are still there to provide pre-warning of pending BUY/SELL alerts. Also only the BUY/SELL alerts are filtered by Moving Average Filter and/or the new Directional filter (default). The default settings in this version have also been changed, particularly the Moving Averages, to indicate trend changes quicker.
Indicator Project Description:
*** This is a trend following indicator alert that uses fast QQE crosses with Moving Averages for trend direction filtering. QQE or Qualitative Quantitative Estimation is based on the relative strength index, but uses a smoothing technique as an additional transformation. Three crosses can be selected (all selected by default):
RSI signal crossing ZERO (XZERO)
RSI signal crossing Fast RSIatr line (XQQE)
RSI signal exiting the RSI Threshhold Channel (BUY/SELL)
The (BUY/SELL) alerts can be optionally filtered by the Moving Average Combo:
For BUY alert the Close must be above the fast MA and
fast MA (EMA8) > medium MA (EMA20) > slow MA (SMA50).
For SELL alert the Close must be below the fast MA and
fast MA (EMA8) < medium MA (EMA20) < slow MA (SMA50).
and/or Directional filter (default filter):
For BUY alert the Close must be above the slow MA (SMA50) and the directional MA (EMA20) must be green.
For SELL alert the Close must be below the slow MA (SMA50) and the directional MA (EMA20) must be red.
The XZERO and XQQE are not included in the filtering, they are used to indicate pending BUY/SELL alerts, particularly the XZERO.
Note: I have found the XQQE cross can also be quite good alert for BUY/SELL as well, particularly in direction of current trend. The XZERO I have found to be totally unreliable for BUY/SELL alerts.
This indicator should work on any currency pair, most chart timeframes and expiry in 3 to 6 candles for binary option trading. For hourly or longer charts expiry can be longer for binary options, or if available use standard forex trading techniques
Some Hints for using this indicator:
Avoid taking trades in non-trending market, this is normally indicated by a near Horizontal SMA50 line.
Avoid trading when all the moving averages are close together.
When trading 1min and 5min charts, expiry should set to 1-3 candles.
Avoid trading when market choppy, this is normally indicated by the fast EMA8 crossing the EMA20 back and forwards quickly.
High probability trades tend to occur when you get a XQQE followed by a XZERO and then BUY/SELL in the same direction of trend.
Don't trade near nor directly on any major market news (sometime better no trade day).
Please practise this system in DEMO first, before committing any real money. Be patient the more you practise the better and more confident you will be.
I hope you enjoy this indicator, it has proven very effective for me.
Relative Strength Index x2Two RSI better then one. Also histogram shows difference of fast and slow RSI.
Relative Volume Bollinger Band %
The Relative Volume Bollinger Band % indicator is a powerful tool designed for traders seeking insights into volume, Bollinger band and relative strength dynamics. This indicator assesses the deviation of a security's trading volume relative to the Bollinger band % indicator and the RSI moving average. Together, these shed light on potential zones of interests where market shifts have a high probability of occurring.
Key Features:
Period: Tailor the indicator's sensitivity by adjusting the period of the smooth moving average and/or the period of the Bollinger band.
How it Works:
Moving Average Calculation: The script computes the simple moving average (SMA) of the relative strength over a defined period. When the higher SMA (orange line) is in the top grey zone, the security is in a zone where it has a high probability of becoming bullish. When the higher SMA is in the lower grey zone, the security is in a zone where it has a high probability of becoming bearish.
-Bollinger Band %: The script also computes the BB% which is primarily used to confirm overbought and oversold areas. When overbought, it turns white and remains white until the overbuying pressure is released indicating that the security is about to become bearish. The script indicates a bearish reversal when the BB% and RVOL bars are both red or when there are no more yellow RVOL bars, if present. When the BB% is<0 and rising, it will also appear white with yellow RVOL bars above. This is a good indication that bulls are beginning to enter buying positions. Confirmation here is indicated when the yellow RVOL bars change to green.
Relative Volume: The indicator then also normalizes the difference volume to indicate areas of high and low volatility. This shows where higher than normal volumes are being traded and can be used as a good indication of when to enter or exit a trade when the above criterions are met.
Visual Representation: The result is visually represented on the chart using columns. Bright green columns signify bullish relative volume values that are much greater than normal. Green columns signify bullish relative volume values that are significant. Red columns represent bearish values that are significant. Blue columns on the BB% indicator represent significant bullish buying in overbought areas. Red columns on the BB% indicator that are < 0 represent a bearish trend that is in an oversold area. This is there to prevent early entry into the market.
Enhancements:
Areas of Interest: Optionally, Areas of interest are represented by red, yellow and green circles on the higher SMA line, aiding in the identification of significant deviations.
Relative Risk MetricOVERVIEW
The Relative Risk Metric is designed to provide a relative measure of an asset's price, within a specified range, over a log scale.
PURPOSE
Relative Position Assessment: Visualizes where the current price stands within a user-defined range, adjusted for log scale.
Logarithmic Transformation: Utilizes the natural log to account for a log scale of prices, offering a more accurate representation of relative positions.
Calculation: The indicator calculates a normalized value via the function Relative Price = / log(UpperBound) − log(LowerBound) . The result is a value between 0 and 1, where 0 corresponds to the lower bound and 1 corresponds to the upper bound on a log scale.
VISUALIZATION
The indicator plots three series:
Risk Metric - a plot of the risk metric value that’s computed from an asset's relative price so that it lies within a logarithmic range between 0.0 & 1.0.
Smoothed Risk Metric - a plot of the risk metric that’s been smoothed.
Entry/Exit - a scatter plot for identified entry and exit. Values are expressed as percent and are coded as red being exit and green being entity. E.g., a red dot at 0.02 implies exit 2% of the held asset. A green dot at 0.01 implies use 1% of a designated capital reserve.
USAGE
Risk Metric
The risk metric transformation function has several parameters. These control aspects such as decay, sensitivity, bounds and time offset.
Decay - Acts as an exponent multiplier and controls how quickly dynamic bounds change as a function of the bar_index.
Time Offset - provides a centering effect of the exponential transformation relative to the current bar_index.
Sensitivity - controls how sensitive to time the dynamic bound adjustments should be.
Baseline control - Serves as an additive offset for dynamic bounds computation which ensures that bounds never become too small or negative.
UpperBound - provides headroom to accomodate growth an assets price from the baseline. For example, an upperbound of 3.5 accommodates a 3.5x growth from the baseline value (e.g., $100 -> $350).
LowerBound - provides log scale compression such that the overall metric provides meaningful insights for prices well below the average whilst avoiding extreme scaling. A lowerbound of 0.25 corresponds to a price that is approx one quarter of a normalised baseline in a log context.
Weighted Entry/Exit
This feature provides a weighted system for identifying DCA entry and exit. This weighting mechanism adjusts the metric's interpretation to highlight conditions based on dynamic thresholds and user-defined parameters to identify high-probability zones for entry/exit actions and provide risk-adjusted insights.
Weighting Parameters
The weighting function supports fine-tuning of the computed weighted entry/exit values
Base: determines the foundational multiplier for weighting the entry/exit value. A higher base amplifies the weighting effect, making the weighted values more pronounced. It acts as a scaling factor to control the overall magnitude of the weighting.
Exponent: adjusts the curve of the weighting function. Higher exponent values increase sensitivity, emphasizing differences between risk metric values near the entry or exit thresholds. This creates a steeper gradient for the computed entry/exit value making it more responsive to subtle shifts in risk levels.
Cut Off: specifies the maximum percentage (expressed as a fraction of 1.0) that the weighted entry/exit value can reach. This cap ensures the metric remains within a meaningful range and avoids skewing
Exit condition: Defines a threshold for exit. When the risk metric is below the exit threshold (but above the entry threshold) then entry/exit is neutral.
Entry condition: Defines a threshold for entry. When the risk metric is above the entry threshold (but below the exit threshold) then entry/exit is neutral.
Weighting Behaviour
For entry conditions - value is more heavily weighted as the metric approaches the entry threshold, emphasizing lower risk levels.
For exit conditions - value is more heavily weighted as the metric nears the exit threshold, emphasizing increased risk levels.
USE-CASES
Identifying potential overbought or oversold conditions within the specified logarithmic range.
Assisting in assessing how the current price compares to historical price levels on a logarithmic scale.
Guiding decision-making processes by providing insights into the relative positioning of prices within a log context
CONSIDERATIONS
Validation: It's recommended that backtesting over historical data be done before acting on any identified entry/exit values.
User Discretion: This indicator focus on price risk. Consider other risk factors and general market conditions as well.
Relative Strength, not RSIThe Smoothed Relative Strength Indicator (not RSI) with Multi-Timeframe Support is a custom indicator that combines the concepts of Relative Strength (not RSI) and Money Flow Index (MFI) to create a smoothed trend-following tool. It works on any timeframe and adapts to different market conditions.
Key Features:
Multi-timeframe support: [ The script uses the request.security function to fetch data from other timeframes, allowing users to analyze the trend on different timeframes simultaneously.
Relative Strength calculation: The script calculates the Relative Strength (not RSI) by averaging the gains and losses over a user-defined period (len).
Money Flow Index calculation: The script calculates the Money Flow Index (MFI) by considering both price and volume data. The MFI is an oscillator that ranges between 0 and 100, and it helps identify overbought or oversold conditions in the market.
Combination of Relative Strength and MFI:The indicator calculates the average of Relative Strength and MFI values to create the Trend Reversal Strength (TRS) line.
Smoothing the TRS line: The TRS line is smoothed using a Simple Moving Average (SMA) with a user-defined smoothing length (smoothLen). This helps to reduce noise and make the trend more readable.
Trend color determination: The script determines the trend color based on the slope of the smoothed TRS line. If the current value of the smoothed TRS line is higher than the previous one, the line is colored green (uptrend). If the current value is lower than the previous one, the line is colored red (downtrend).
Visual representation of trend changes: The indicator plots small circles at points where the trend color changes, making it easier to identify potential trend reversal points.
Zero line: The script draws a horizontal line at the zero level to help users gauge the market's strength or weakness relative to this level.
Usage:
This indicator can be used as a trend-following tool to identify potential entry and exit points in the market. When the smoothed TRS line is green and rising, it suggests a bullish trend, and traders may consider entering long positions. Conversely, when the smoothed TRS line is red and falling, it indicates a bearish trend, and traders may consider short positions or exiting long trades.
Please note that this indicator should be used in conjunction with other technical analysis tools and proper risk management techniques to improve the accuracy of your trading decisions.
Indicator: Relative Volume Indicator & Freedom Of MovementRelative Volume Indicator
------------------------------
RVI is a support-resistance technical indicator developed by Melvin E. Dickover. Unlike many conventional support and resistance indicators, the Relative Volume Indicator takes into account price-volume behavior in order to detect the supply and demand pools. These pools are marked by "Defended Price Lines" (DPLs), also introduced by the author.
RVI is usually plotted as a histogram; its bars are highlighted (black, by default) when the volume is unusually large. According to the author, this happens if the indicator value exceeds 2.0, thus signifying that a possible DPL is present.
DPLs are horizontal lines that run across the chart at levels defined by following conditions:
* Overlapping bars: If the indicator spike (i.e., indicator is above 2.0 or a custom value)
corresponds to a price bar overlapping the previous one, the previous close can be used as the
DPL value.
* Very large bars: If the indicator spike corresponds to a price bar of a large size, use its
close price as the DPL value.
* Gapping bars: If the indicator spike corresponds to a price bar gapping from the previous bar,
the DPL value will depend on the gap size. Small gaps can be ignored: the author suggests using
the previous close as the DPL value. When the gap is big, the close of the latter bar is used
instead.
* Clustering spikes: If the indicator spikes come in clusters, use the extreme close or open
price of the bar corresponding to the last or next to last spike in cluster.
DPLs can be used as support and resistance levels. In order confirm and refine them, RVI is used along with the FreedomOfMovement indicator discussed next.
Freedom of Movement Indicator
------------------------------
FOM is a support-resistance technical indicator, also by Melvin E. Dickover. FOM is the ratio of relative effect (relative price change) to the relative effort (normalized volume), expressed in standard deviations. This value is plotted as a histogram; its bars are highlighted (black, by default( when this ratio is unusually high. These highlighted bars, or "spikes", define the positioning of the DPLs.
Suggestions for placing DPLs are the same as for the Relative Volume Indicator discussed above.
Note that clustering spikes provide the strongest DPLs while isolated spikes can be used to confirm and refine those provided by the Relative Volume Indicator. Coincidence of spikes of the two indicator can be considered a sign of greater strength of the DPL.
More info:
S&C magazine, April 2014.
I am still trying these on various instruments to understand the workings more. Don't forget to share what you learn -- any use cases / ideal scenarios / gotchas, would love to hear them all.
Relative Valuation OscillatorThis is a Relative Valuation Oscillator (RVO) this is attempt of replication OTC Valuation - a sophisticated multi-asset comparison indicator designed to measure whether the current asset is overvalued or undervalued relative to up to three reference assets.
Overview
The RVO compares the current chart's asset against reference assets (default: 30-Year Treasury Bonds, Gold, and US Dollar Index) to determine relative strength and valuation extremes. It outputs normalized oscillator values ranging from -100 (undervalued) to +100 (overvalued).
Key Features
Multiple Calculation Methods
The indicator offers 5 different calculation approaches:
Simple Ratio - Normalized ratio deviation from average
Percentage Difference - Percentage change comparison
Ratio Z-Score - Standard deviation-based comparison
Rate of Change Comparison - Momentum differential analysis (default)
Normalized Ratio - Min-max normalized ratio
Configurable Reference Assets
Asset 1: Default ZB (30-Year Treasury Bond Futures) - tracks interest rate sensitivity
Asset 2: Default GC (Gold Futures) - tracks safe-haven and inflation dynamics
Asset 3: Default DXY (US Dollar Index) - tracks currency strength
Each asset can be enabled/disabled independently
Fully customizable symbols
Visual Components
Multiple oscillator lines - One for each active reference asset (color-coded)
Average line - Combined signal from all active assets
Overbought/Oversold zones - Configurable threshold levels (default: ±80)
Zero line - Neutral valuation reference
Background coloring - Visual zones for extreme conditions
Signal line - Optional smoothed average
Entry markers - Long/short signals at key reversals
Signal Generation
Crossover alerts - When crossing overbought/oversold levels
Entry signals - Reversals from extreme zones
Divergence detection - Bullish/bearish divergences between price and oscillator
Zero-line crosses - Trend strength changes
Customization Options
Lookback period (10-500): Controls statistical calculation window
Normalization period (50-1000): Determines scaling sensitivity
Smoothing toggle: Optional EMA/SMA smoothing with adjustable period
Visual customization: Colors, levels, and display options
Information Table
Real-time dashboard showing:
Average oscillator value
Current status (Overvalued/Undervalued/Neutral)
Current asset price
Individual values for each active reference asset
Use Cases
Mean reversion trading - Identify extreme relative valuations for reversal trades
Sector rotation - Compare assets within similar categories
Hedging strategies - Understand correlation dynamics
Multi-asset analysis - Simultaneously compare against bonds, commodities, and currencies
Divergence trading - Spot price/oscillator divergences
Trading Strategy Applications
Long signals: When oscillator crosses above oversold level (asset recovering from undervaluation)
Short signals: When oscillator crosses below overbought level (asset declining from overvaluation)
Confirmation: Use multiple reference assets for stronger signals
Risk management: Avoid trading when all assets show neutral readings
This indicator is particularly useful for traders who want to incorporate inter-market analysis and relative strength concepts into their trading decisions, especially in OTC (Over-The-Counter) and futures markets.
Relative Strength vs. Benchmark (相對強度)This "Relative Strength vs. Benchmark" indicator helps you see a stock's true performance against a benchmark (like the S&P 500) at a glance. By calculating the price ratio between the two, it strips away the overall market noise, allowing you to focus on identifying true market leaders and underperforming laggards.
How It Works
Core Formula: Relative Strength = Stock Price / Benchmark Index Price
A Rising Line: Means the stock is outperforming the benchmark.
A Falling Line: Means the stock is underperforming the benchmark.
The indicator also includes a Moving Average (MA) of the Relative Strength line itself. This MA helps to confirm the trend of relative strength and filter out short-term noise.
How to Use
Find Market Leaders: When the market is in an uptrend or consolidating, look for stocks whose RS line is breaking out to new highs.
Avoid Laggards: If the RS line is consistently below its moving average or making new lows, the stock is significantly underperforming the market and should be treated with caution.
Trend Change Signals: A cross of the RS line above its MA can be seen as a signal that a new trend of relative outperformance is beginning. A cross below suggests the trend is weakening.
Features & Settings
Customizable Benchmark: You can change the default benchmark from TWSE:TSE to any symbol you need, such as SP:SPX for the S&P 500 or NASDAQ:NDX for the Nasdaq 100.
Adjustable MA Length: Customize the period for the RS Moving Average to fit your trading style (short-term or long-term).
Visual Toggle: Easily turn the colored background fill on or off according to your preference.
Hope you find this tool helpful in your analysis!
Relative Volatility Mass [SciQua]The ⚖️ Relative Volatility Mass (RVM) is a volatility-based tool inspired by the Relative Volatility Index (RVI) .
While the RVI measures the ratio of upward to downward volatility over a period, RVM takes a different approach:
It sums the standard deviation of price changes over a rolling window, separating upward volatility from downward volatility .
The result is a measure of the total “volatility mass” over a user-defined period, rather than an average or normalized ratio.
This makes RVM particularly useful for identifying sustained high-volatility conditions without being diluted by averaging.
────────────────────────────────────────────────────────────
╭────────────╮
How It Works
╰────────────╯
1. Standard Deviation Calculation
• Computes the standard deviation of the chosen `Source` over a `Standard Deviation Length` (`stdDevLen`).
2. Directional Separation
• Volatility on up bars (`chg > 0`) is treated as upward volatility .
• Volatility on down bars (`chg < 0`) is treated as downward volatility .
3. Rolling Sum
• Over a `Sum Length` (`sumLen`), the upward and downward volatilities are summed separately using `math.sum()`.
4. Relative Volatility Mass
• The two sums are added together to get the total volatility mass for the rolling window.
Formula:
RVM = Σ(σ up) + Σ(σ down)
where σ is the standard deviation over `stdDevLen`.
╭────────────╮
Key Features
╰────────────╯
Directional Volatility Tracking – Differentiates between volatility during price advances vs. declines.
Rolling Volatility Mass – Shows the total standard deviation accumulation over a given period.
Optional Smoothing – Multiple MA types, including SMA, EMA, SMMA (RMA), WMA, VWMA.
Bollinger Band Overlay – Available when SMA is selected, with adjustable standard deviation multiplier.
Configurable Source – Apply RVM to `close`, `open`, `hl2`, or any custom source.
╭─────╮
Usage
╰─────╯
Trend Confirmation: High RVM values can confirm strong trending conditions.
Breakout Detection: Spikes in RVM often precede or accompany price breakouts.
Volatility Cycle Analysis: Compare periods of contraction and expansion.
RVM is not bounded like the RVI, so absolute values depend on market volatility and chosen parameters.
Consider normalizing or using smoothing for easier visual comparison.
╭────────────────╮
Example Settings
╰────────────────╯
Short-term volatility detection: `stdDevLen = 5`, `sumLen = 10`
Medium-term trend volatility: `stdDevLen = 14`, `sumLen = 20`
Enable `SMA + Bollinger Bands` to visualize when volatility is unusually high or low relative to recent history.
╭───────────────────╮
Notes & Limitations
╰───────────────────╯
Not a directional signal by itself — use alongside price structure, volume, or other indicators.
Higher `sumLen` will smooth short-term fluctuations but reduce responsiveness.
Because it sums, not averages, values will scale with both volatility and chosen window size.
╭───────╮
Credits
╰───────╯
Based on the Relative Volatility Index concept by Donald Dorsey (1993).
TradingView
SciQua - Joshua Danford
Relative Strength Index with Percentile📈 Relative Strength Index with Percentile Rank (RSI + Percentile)
This advanced RSI indicator adds a powerful percentile ranking system to the classic Relative Strength Index, providing deeper insight into current RSI values relative to recent history.
🔍 Key Features:
Standard RSI Calculation: Identifies overbought/oversold levels using a customizable period.
RSI Percentile (0–100%): Calculates where the current RSI value stands within a user-defined lookback period.
Dynamic Background Coloring:
🟩 Green when RSI percentile is above 80% (strong relative strength)
🟥 Red when RSI percentile is below 20% (strong relative weakness)
Optional Divergence Detection: Spot classic bullish and bearish divergences between price and RSI.
Smoothing Options: Apply various moving averages (SMA, EMA, RMA, etc.) to the RSI, with optional Bollinger Bands.
Flexible Settings: Full control over lookback periods, smoothing type, and band sensitivity.
🧠 Why Use RSI Percentile?
Traditional RSI values can become less informative during trending markets. By ranking the RSI as a percentile, you gain contextual insight into whether the current strength is unusually high or low compared to recent history, rather than just a fixed 70/30 threshold.






















