Composite RSI [KFB Quant]The Composite RSI (CRSI) is a momentum oscillator that combines 5 adjustable RSI's. It also has a Z-Score to make it easier to identify potential market extremes.
How to adjust the indicator
Inside the Length & Impact Configuration tab you can adjust the length and impact of each RSI as well as the Z-Score length specific to your needs. The default length inputs are 7, 14, 30, 60, 90 (RSI 1 - RSI 5) and the default impact is set to 1.0 for all RSI's. Default length for Z-Score is 360.
Inside the Style Configuration tab you can pick what you want to display(plot). The options are: CRSI, Z-Score, Overview Table and the individual RSI's.
Inside the Color Configuration tab you can customize the color of each plot.
How the script works
CRSI = rsi_sum / imp_sum
Z-Score = (crsi - crsi_mean) / crsi_stdev
rsi_sum = (rsi_1 -50) + (rsi_2 -50) + (rsi_3 -50) + (rsi_4 -50) + (rsi_5 -50)
imp_sum = imp_1 + imp_2 + imp_3 + imp_4 + imp_5
crsi_mean = Average of the crsi over the defined period in Z-Score Length
crsi_stdev = StDev of crsi over the defined period in Z-Score Length
This is not financial advice. Trading is risky & most traders lose money. Past performance does not guarantee future results. This indicator is for informational & educational purposes only.
Осцилляторы
Christmas Toolkit [LuxAlgo]It's that time of the year... and what would be more appropriate than displaying Christmas-themed elements on your chart?
The Christmas Toolkit displays a tree containing elements affected by various technical indicators. If you're lucky, you just might also find a precious reindeer trotting toward the tree, how fancy!
🔶 USAGE
Each of the 7 X-mas balls is associated with a specific condition.
Each ball has a color indicating:
lime: very bullish
green: bullish
blue: holding the same position or sideline
red: bearish
darkRed: very bearish
From top to bottom:
🔹 RSI (length 14)
rsi < 20 - lime (+2 points)
rsi < 30 - green (+1 point)
rsi > 80 - darkRed (-2 points)
rsi > 70 - red (-1 point)
else - blue
🔹 Stoch (length 14)
stoch < 20 - lime (+2 points)
stoch < 30 - green (+1 point)
stoch > 80 - darkRed (-2 points)
stoch > 70 - red (-1 point)
else - blue
🔹 close vs. ema (length 20)
close > ema 20 - green (+1 point)
else - red (-1 point)
🔹 ema (length 20)
ema 20 rises - green (+1 point)
else - red (-1 point)
🔹 ema (length 50)
ema 50 rises - green (+1 point)
else - red (-1 point)
🔹 ema (length 100)
ema 100 rises - green (+1 point)
else - red (-1 point)
🔹 ema (length 200)
ema 200 rises - green (+1 point)
else - red (-1 point)
The above information can also be found on the right side of the tree.
You'll see the conditions associated with the specific X-mas ball and the meaning of color changes. This can also be visualized by hovering over the labels.
All values are added together, this result is used to color the star at the top of the tree, with a specific color indicating:
lime: very bullish (> 6 points)
green: bullish (6 points)
blue: holding the same position or sideline
red: bearish (-6 points)
darkRed: very bearish (< -6 points)
Switches to green/lime or red/dark red can be seen by the fallen stars at the bottom.
The Last Switch indicates the latest green/lime or red/dark red color (not blue)
🔶 ANIMATION
Randomly moving snowflakes are added to give it a wintry character.
There are also randomly moving stars in the tree.
Garland rotations, style, and color can be adjusted, together with the width and offset of the tree, put your tree anywhere on your chart!
Disabling the "static tree" setting will make the needles 'move'.
Have you happened to see the precious reindeer on the right? This proud reindeer moves towards the most recent candle. Who knows what this reindeer might be bringing to the tree?
🔶 SETTINGS
Width: Width of tree.
Offset: Offset of the tree.
Garland rotations: Amount of rotations, a high number gives other styles.
Color/Style: sets the color & style of garland stars.
Needles: sets the needle color.
Static Tree: Allows the tree needles to 'move' with each tick.
Reindeer Speed: Controls how fast the deer moves toward the most recent bar.
🔶 MESSAGE FROM THE LUXALGO TEAM
It has been an honor to contribute to the TradingView community and we are always so happy to see your supportive messages on our scripts.
We have posted a total of 78 script publications this year, which is no small feat & was only possible thanks to our team of Wizard developers @alexgrover + @dgtrd + @fikira , the development team behind Pine Script, and of course to the support of our legendary community.
Happy Holidays to you all, and we'll see ya next year! ☃️
RSI/MFI Ultimate MAHello!
Today, I want to discuss a special indicator that I've developed. centers around a weighted moving average based on RSI/MFI.
1. Development Purpose
The primary goal of this indicator is to provide clearer insights into bullish and bearish signals in the market. It applies a weight to the RSI (Relative Strength Index) and MFI (Money Flow Index) values to offer more sensitive and predictive trend signals than traditional moving averages.
2. Usefulness
This indicator aids traders in identifying market volatility and bullish or bearish trends more easily. It is particularly responsive to market volatility, providing more accurate information for trading decisions.
3. Real-World Usage Examples
When applied to actual market data, this indicator clearly delineates bullish or bearish sections with its weighted moving average line. For instance, an upward trending moving average line indicates a bullish signal, while a downward trend suggests bearish momentum.
4. Meaning of Parameter Values
option: Allows choosing between RSI or MFI, each analyzing different market signals.
osc_len: Adjusting the oscillator length alters sensitivity.
ma_len: Setting the moving average length helps to modulate responsiveness to market fluctuations.
weight: Changing the weight fine-tunes the sensitivity of the moving average line.
By adjusting these parameters, the indicator can be customized to suit various market conditions.
Wishing you a successful trading day. Thank you!
[PUZ]Relativ Strength Index [MTB]Here I provide you with my new RSI indicator.
This RSI has some advantages over the normal Tadingview RSI.
The RSI is usually calculated exclusively on a Candel Close basis. My RSI is calculated on a Candel Close, Open, High, Low basis, which makes it look a little smoother. Furthermore, there are not only 3 support and resistance lines but a total of 7 where the rsi can bounce. These lines can all be set variably under the Style settings.
In addition, the RSI also shows divergences and hidden divergences via red and blue lines.
There is also the option to make trend settings
Option one involves determining the trend based on various selectable moving averages. You can also select the time frame for trend determination.
The trend is shown by coloring the background in the RSI green and red. Of course you can also switch the background on and off.
The second trend option is to determine a Fibbonacci line which is displayed red or green on LVL 100 depending on the trend direction.
In this trend calculation you can also select the time frame yourself and you can use the sensitivity to determine how many previous candels are taken into account to determine the trend.
If a candel close occurs above the 0.5 and 0.236 Fibb LVL, the trend turns green.
If a candel close occurs below the 0.5 and 0.786 Fibb LVL, the trend turns red.
A final additional feature is an output module where the RSI data is scaled between 0 and 1 in order to further process this data in future scripts.
A huge thank you goes out to djmad for providing his math library and another thank you to jdehorty for providing his MLExtension library
Trend Flow Profile [AlgoAlpha]Description:
The "Trend Flow Profile" indicator is a powerful tool designed to analyze and interpret the underlying trends and reversals in a financial market. It combines the concepts of Order Flow and Rate of Change (ROC) to provide valuable insights into market dynamics, momentum, and potential trade opportunities. By integrating these two components, the indicator offers a comprehensive view of market sentiment and price movements, facilitating informed trading decisions.
Rationale:
The combination of Order Flow and ROC in the "Trend Flow Profile" indicator stems from the recognition that both factors play critical roles in understanding market behavior. Order Flow represents the net buying or selling pressure in the market, while ROC measures the rate at which prices change. By merging these elements, the indicator captures the interplay between market participants' actions and the momentum of price movements, enabling traders to identify trends, spot reversals, and gauge the strength of price acceleration or deceleration.
Calculation:
The Order Flow component is computed by summing the volume when prices move up and subtracting the volume when prices move down. This cumulative measure reflects the overall order imbalance in the market, providing insights into the dominant buying or selling pressure.
The ROC component calculates the percentage change in price over a given period. It compares the current price to a previous price and expresses the change as a percentage. This measurement indicates the velocity and direction of price movement, allowing traders to assess the market's momentum.
How to Use It?
The "Trend Flow Profile" indicator offers valuable information to traders for making informed trading decisions. It enables the identification of underlying trends and potential reversals, providing a comprehensive view of market sentiment and momentum. Here are some key ways to utilize the indicator:
Spotting Trends: The indicator helps identify the prevailing market trend, whether bullish or bearish. A consistent positive (green) histogram indicates a strong uptrend, while a consistent negative (red) histogram suggests a robust downtrend.
Reversal Signals: Reversal patterns can be identified when the histogram changes color, transitioning from positive to negative (or vice versa). These reversals can signify potential turning points in the market, highlighting opportunities for counter-trend trades.
Momentum Assessment: By observing the width and intensity of the histogram, traders can assess the acceleration or deceleration of price momentum. A wider histogram suggests strong momentum, while a narrower histogram indicates a potential slowdown.
Utility:
The "Trend Flow Profile" indicator serves as a valuable tool for traders, providing several benefits. Traders can easily identify the prevailing market trend, enabling them to align their trading strategies with the dominant direction of the market. The indicator also helps spot potential reversals, allowing traders to anticipate market turning points and capture counter-trend opportunities. Additionally, the green and red histogram colors provide visual cues to determine the optimal duration of a long or short position. Following the green histogram signals when in a long position and the red histogram signals when in a short position can assist traders in managing their trades effectively. Moreover, the width and intensity of the histogram offer insights into the acceleration or deceleration of momentum. Traders can gauge the strength of price movements and adjust their trading strategies accordingly. By leveraging the "Trend Flow Profile" indicator, traders gain a comprehensive understanding of market dynamics, which enhances their decision-making and improves their overall trading outcomes.
Bollinger Bands Percentile + Stdev Channels (BBPct) [AlgoAlpha]Description:
The "Bollinger Bands Percentile (BBPct) + STD Channels" mean reversion indicator, developed by AlgoApha, is a technical analysis tool designed to analyze price positions using Bollinger Bands and Standard Deviation Channels (STDC). The combination of these two indicators reinforces a stronger reversal signal. BBPct calculates the percentile rank of the price's standard deviation relative to a specified lookback period. Standard deviation channels operate by utilizing a moving average as the central line, with upper and lower lines equidistant from the average based on the market's volatility, helping to identify potential price boundaries and deviations.
How it Works:
The BBPct indicator utilizes Bollinger Bands, which consist of a moving average (basis) and upper and lower bands based on a specified standard deviation multiplier. By default, it uses a 20-period moving average and a standard deviation multiplier of 2. The upper band is calculated by adding the basis to the standard deviation multiplied by the multiplier, while the lower band is calculated by subtracting the same value. The BBPct indicator calculates the position of the current price between the lower and upper Bollinger Bands as a percentile value. It determines this position by comparing the price's distance from the lower band to the overall range between the upper and lower bands. A value of 0 indicates that the price is at the lower band, while a value of 100 indicates that the price is at the upper band. The indicator also includes an optional Bollinger Band standard deviation percentage (%Stdev) histogram, representing the deviation of the current price from the moving average as a percentage of the price itself.
Standard deviation channels, also known as volatility channels, aid in identifying potential buying and selling opportunities while minimizing unfavorable trades. These channels are constructed by two lines that run parallel to a moving average. The separation between these lines is determined by the market's volatility, represented by standard deviation. By designating upper and lower channel lines, the channels demarcate the borders between typical and atypical price movements. Consequently, when the market's price falls below the lower channel line, it suggests undervaluation, whereas prices surpassing the upper channel line indicate overvaluation.
Signals
The chart displays potential reversal points through the use of red and green arrows. A red arrow indicates a potential bearish retracement, signaling a possible downward movement, while a green arrow represents a potential pullback to the positive, suggesting a potential upward movement. These signals are generated only when both the BBPct (Bollinger Bands Percentage) and the STDC (Standard Deviation Channel) indicators align with bullish or bearish conditions. Consequently, traders might consider opening long positions when the green arrow appears and short positions when the red arrow is plotted.
Usage:
This indicator can be utilized by traders and investors to effectively identify pullbacks, reversals, and mean regression, thereby enhancing their trading opportunities. Notably, extreme values of the BBPct, such as below -5 or above 105, indicate oversold or overbought conditions, respectively. Moreover, the presence of extreme STDC zones occurs when prices fall below the lower channel line or cross above the upper channel line. Traders can leverage this information as a mean reversion tool by identifying instances of peak overbought and oversold values. These distinctive characteristics facilitate the identification of potential entry and exit points, thus augmenting trading decisions and enhancing market analysis.
The indicator's parameters, such as the length of the moving average, the data source, and the standard deviation multiplier, can be customized to align with individual trading strategies and preferences.
Originality:
The BBPct + STDC indicator, developed by AlgoAlpha, is an original implementation that combines the calculation of Bollinger Bands, percentile ranking, the %Stdev histogram and the STDC. While it shares some similarities with the Bollinger Bands %B indicator, the BBPct indicator introduces additional elements and customization options tailored to AlgoAlpha's methodology. The script is released under the Mozilla Public License 2.0, granting users the freedom to utilize and modify it while adhering to the license terms.
Custom RSI with RMA SmoothingCustom RSI with RMA Smoothing is smoothing the classic Relative Strength Index to enhance the effectiveness of using the RSI for trend-following through noise reduction.
Principle:
1. RSI is smoothed by the Rolling Moving Average (RMA) and averaged Gains & Losses instead of the classic RSI calculation.
2. A RMA is plotted over the RSI where the crossovers can be entry and exit points.
How is RSI smoothed by the RMA:
1. Outside the common price sources a few new options like hhhlc or hlcc can be chosen where the emphasis is more on the high or the close of the chosen period.
2. Calculation of Price Change: After selecting the price source, the indicator calculates the price change by subtracting the previous period's price from the current price.
3. RMA Smoothing of Price Change: The key step in smoothing the RSI is the application of the Running Moving Average (RMA) to the price change. The length of this RMA is set by the user and determines the extent of smoothing. RMA is a type of moving average that gives more weight to recent data points, making it more responsive to new information while still smoothing out short-term fluctuations.
4. Determining Gains and Losses: The smoothed price change is then used to calculate the gains and losses for each period. Gains are considered when the smoothed price change is positive, and losses when it is negative.
5. Averaging Gains and Losses: These gains and losses are further smoothed by calculating their respective RMAs over the user-defined RSI length. This step is crucial as it dampens the impact of short-term price spikes and drops, giving a more stable and reliable measure of price momentum.
6. RSI Calculation: The standard RSI formula (100 - ) is then applied to these smoothed values. This results in the initial RSI value, which is already more stable than a typical RSI due to the previous smoothing steps.
7. Final RMA Smoothing of RSI: In a final layer of refinement, the RSI itself is smoothed using another RMA, over a length specified by the user. This additional smoothing further reduces the impact of short-term volatility and sharp price movements, providing a more coherent and interpretable RSI line.
Technical Candle Alerts [SS]Releasing this fun little project indicator.
What is it?
The Technical Candle Alert indicator provides alerts based on multiple underlying technicals, including MFI, RSI, Stochastics, Z-Score, Pivot points and the EMA 50 and EMA 200 Death and Golden Cross.
What does it do?
The indicator looks back over a designated timeframe to look for max and min values of technicals, as well as track the EMA200 and EMA50.
When a candle approaches a previous max zone, pivot point or there is a death or golden cross, the indicator will signal on the candle that has triggered this event. Then you, as the trader, can determine whether you want to listen to the signal or ignore it.
How Does it Work?
The indicator is set to default and generally accepted settings for technicals, however you can modify them as you prefer.
The indicator is also programmed to identify the strongest trend period and set that as the lookback length. The theory is, you want to look at max and min technicals as well as pivot points in a recent area of a strong trend. However, if you want to over-ride the auto trend identification, you can simply unselect "Autotrend" and put in your desired manual lookback length.
The indicator will then keep track of max values for the various technicals and present you with alerts directly over the candle when a Max or Min value is triggered, or a pivot point is entered, etc.
Here are some examples:
Golden Cross:
Death Cross:
Previous Pivot Points:
Various Alerts:
Customization:
You can customize which alerts you want to turn off and on.
As well, there is a signal delay setting (wait setting). This prevents repeated, unnecessary signaling of the same signal. The default wait time is 5 signals, however you can adjust based on your desired tolerance. If you want it to always signal, adjust it to 0.
As indicated before, you can also adjust all of the technicals and the pivot bars for high and low pivots and you can manually set your lookback length.
That is the indicator in a nutshell, let me know if you have any questions that may not have been covered in the description. Its pretty straight forward once you play around with it.
Safe trades everyone and thanks for checking this out!
Price PressureDescription:
The Price Pressure Indicator, developed by OmegaTools, is a robust and versatile tool designed to assist traders in analyzing market dynamics and identifying potential trend shifts. This open-source script, offers a unique approach to understanding price pressure over specified periods, enhancing the user's ability to make informed trading decisions.
Key Features:
1. Dynamic Length Configuration: The indicator allows users to customize the length parameter, ranging from 9 to 100, providing flexibility in adapting to different market conditions.
2. Extensions Control: Traders can fine-tune the extension levels (ob) between 50 and 90, allowing for precise adjustments based on their risk tolerance and trading preferences.
3. Normalization and Oscillation: The script employs a normalization function to standardize price data, offering a clearer representation of market pressure. The resulting oscillator visualizes the normalized pressure, highlighting potential market trends.
4. Pressure Calculation: The indicator calculates price pressure by considering the difference between the previous high and the current close, as well as the difference between the current close and the previous low. This innovative approach enhances the accuracy of pressure analysis.
5. Smoothing Option: While the script currently uses a simple moving average for smoothing, traders have the option to explore other smoothing methods by uncommenting the "smt" input line.
6. Visual Clarity: The indicator provides a visually intuitive representation of pressure and signal lines, aiding traders in quickly interpreting market conditions. The color-coded display enhances user experience, with the ability to discern bullish and bearish pressures.
7. Premium and Discount Zones: The script identifies premium and discount areas, assisting traders in spotting potential buying or selling opportunities. The premium and discount lines can be adjusted based on individual risk tolerance and strategy.
How to Use:
1. Adjust the length and extension parameters based on your trading preferences.
2. Interpret the oscillator and signal lines for insights into market pressure.
3. Utilize premium and discount zones to identify potential entry or exit points.
4. Experiment with different smoothing options for a customized analysis.
Concepts and Methodology:
The Price Pressure Indicator utilizes a normalization function and oscillation to quantify market pressure. By calculating the difference between highs and lows, the script provides a nuanced understanding of current market conditions. The smoothing option further refines the analysis, offering traders a comprehensive tool for trend identification.
Explore, experiment, and leverage the power of the Price Pressure Indicator to enhance your trading strategy on TradingView.
Perfect RSIOverview:
The "Enhanced RSI" is a comprehensive TradingView indicator designed to provide traders with a nuanced and detailed analysis of market conditions using the Relative Strength Index (RSI). It amalgamates various RSI calculation methods to offer a more robust and adaptable approach to technical analysis.
Originality:
This script is unique in its synthesis of multiple RSI calculation techniques, including Regular RSI, Dynamic RSI, DMI RSI, Wilder's RSI, TSI RSI, Momentum RSI, and PPO RSI. By combining these methods, the script creates a distinctive and versatile tool for traders seeking a holistic view of RSI dynamics.
How It Works:
Diverse RSI Calculations:
Regular RSI: Calculates standard RSI with user-defined length and source.
Dynamic RSI: Adjusts RSI dynamically based on price movement direction.
DMI RSI: Uses Directional Movement Index for RSI calculation.
Wilder's RSI: Implements Wilder's smoothing technique for RSI.
TSI RSI: Utilizes True Strength Index for RSI calculation.
Momentum RSI: Calculates RSI based on momentum.
PPO RSI: Applies Percentage Price Oscillator for RSI calculation.
Composite RSI:
Combines the individual RSIs into three composite indices (RSI1, RSI2, RSI) using a weighted average approach.
Dynamic Level Adjustment:
Uses the correlation coefficient to dynamically adjust overbought and oversold levels, enhancing adaptability to market changes.
Visualization and Background Coloring:
Visualizes overbought and oversold zones on the chart.
Adjusts background color based on these conditions for clearer interpretation.
How to Use:
Installation:
Copy and paste the script into the Pine Editor on TradingView.
Adjust parameters as needed.
Analysis:
Utilize the "Enhanced RSI" as a comprehensive analysis tool for RSI dynamics.
Consider it as a confirmation tool alongside other technical indicators.
Customization:
Experiment with different RSI lengths and methods to align with your trading strategy.
Backtest the script to validate its effectiveness.
Considerations:
Complexity:
The script is sophisticated; users are advised to understand each calculation method before reliance.
Parameter Sensitivity:
Effectiveness may vary based on chosen parameters; thorough backtesting and parameter optimization are recommended.
Stochastic Trend Evaluator (STE)Stochastic Trend Evaluator (STE): Detailed Description
Overview :
The Stochastic Trend Evaluator (STE) is a sophisticated trading tool designed for TradingView that combines stochastic oscillation analysis with Exponential Moving Average (EMA) trends. It is tailored to assist traders in identifying potential buy and sell opportunities in various market conditions, particularly focusing on trend reversals and momentum shifts.
Functionality & Concept :
The STE is built on two core components – the Stochastic Oscillator and the 200-period EMA.
Stochastic Oscillator :
This oscillator is a momentum indicator comparing a particular closing price of a security to a range of its prices over a certain period.
Settings:
- %K Length: 14
- %K Smoothing: 3
- %D Smoothing: 3
The %K line is the main line indicating momentum, while the %D line is a moving average of %K, providing signal triggers.
200 EMA :
The 200-period EMA serves as a dynamic trend indicator.
It helps in distinguishing between bullish and bearish market phases.
A closing price above the 200 EMA suggests a bullish trend, while below it indicates a bearish trend.
Signal Generation :
STE generates signals based on the interaction between the Stochastic Oscillator and the 200 EMA.
Buy Signal :
Occurs when the stochastic %K crosses above 20 (indicative of oversold conditions), and the closing price is above the 200 EMA.
Represented visually by green label-up arrows.
Sell Signal :
Triggered when the stochastic %K crosses below 80 (suggestive of overbought conditions), and the closing price is below the 200 EMA.
Indicated by red label-down arrows.
Background Color Indicator :
The background color of the chart changes to enhance visual interpretation of the market condition.
Green background for a bullish market scenario (when a buy signal is active).
Red background for a bearish market scenario (when a sell signal is active).
Usage Guidelines :
The STE is best used in markets that exhibit clear trends.
Ideal for traders focusing on medium to long-term trade setups.
Can be used in conjunction with other indicators for confirmation and risk management.
Note : The STE, being a proprietary tool, is based on a unique blend of standard technical analysis concepts and custom logic to provide these trading signals. It is designed to give traders a comprehensive view of the market momentum and trend strength without revealing the intricate details of its algorithm.
Chaos CypherOverview
Technically a smooth linear rate transformation, the "Chaos Cypher" drew some inspiration from the principles of Markov and chaos. Aside from price action, this combination provides a different lens through which to observe and interpret market movements. Markov models are based on the principle that future states depend only on the current state, not on the sequence of events that preceded it. Chaos theory deals with systems that are highly sensitive to initial conditions, a concept popularly referred to as the butterfly effect.
Efficient with Minimal Data: Designed to perform efficiently, the CC indicator is particularly useful in situations regardless of extensive historical data, except for obvious back testing, while still providing strength at identifying potential overbought/oversold zones and critical divergences.
Simplified Momentum Analysis: With further inspiration from the triple smoothed exponential rate, the CC actually uses linear regression for its calculations. This approach allows for a clear and more straightforward identification of deviations in momentum. The smoothing helps allow it to provide details while still operating at a fast pace due to the regression speed.
Adaptable to Various Timeframes: The transformation calculation then employed effectively narrows its scope in relation to the pace, enhancing its applicability across multiple timeframes and periods. This flexibility makes it a versatile tool suitable for various strategies and market conditions.
Fisher Transform Style Presentation: The indicator is presented in a style reminiscent of the Fisher Transform. However, this method of the script recalculates based on every individual dataset. To maintain efficiency, the adjustable length only applies to the regression rate.
The Chaos Cypher when compared to the Fisher Transform
Inversion Option for Leads: Lastly, an intriguing find when testing this script is the potential of the inversion option. This aspect proved particularly useful when searching for pullbacks on a trending market.
Conclusion
This indicator is designed to be forward-thinking and attempts to combine theoretical concepts with practicality. It has the ability to work with minimal data, adapt to various timeframes, and provide clear views of market movements. It back tested very well even when unrealistically used as a sole instrument.
"Two states differing by imperceptible amounts may eventually evolve into two considerably different states ... If, then, there is any error whatever in observing the present state—and in any real system such errors seem inevitable—an acceptable prediction of an instantaneous state in the distant future may well be impossible....In view of the inevitable inaccuracy and incompleteness of weather observations, precise very-long-range forecasting would seem to be nonexistent." -Edward Norton Lorenz
Gradient Value Overlay
This script helps with identifying certain conditions without cluttering too much of the candles.
Some use cases:
It helps identify rsi low and high values.
Directional price movement becoming difficult.
low and high volume.
it uses a percent rank to distinguish low and high values.
It then uses a gradient to match the percentile rank to heatmap type colors.
i.e. dark blue for lowest volume, white for highest volume.
Current options are:
max bars to use.
approximate color - This value will attempt to give an approximation of what the color might be for the candle close.
e.g. If you're on the 1-hour chart, and only 30 minutes have past, it will multiple the current volume by 1.5. As time passes, if no volume comes in eventually, it will multiply current volume by 1.
This approximate value is only set to work with volume-based options.
option - select the type of value you'd like to see the gradient for.
timeframe - get values from a different chart timeframe.
on/off - turns the gradient on or off.
Gradient type - color wheel or heatmap. Currently these are the only two gardient options.
color wheel's colors for low to high values:
color wheel's current colors:
dark blue
purple
pink
red
orange
yellow
green
teal
white
heatmap's current colors from low values to high values:
dark blue
purple
pink
red
orange
yellow
white
reverse gradient - will reverse the colors so dark blue will be the high value and white will be the low value. Some charts based on previous data; you might need to switch the gradient colors.
moving average length while inside timeframe - an exponential moving average is applied to the values. At 1, there is no moving average applied.
Use case for this is to smooth out the gradient.
An example use case - if your currently on the 1-hour chart, you can set the timeframe to 1 minute and then the moving average length inside timeframe to 60. You will then be seeing the color sixty 1-minute bars.
current timeframe moving average length - an exponential moving average applied to current gradient (helps with smoothing gradient).
Smooth, further smooths values.
There is no set rule for what moving average lengths to use. Adjust timeframe, and moving average lengths to get an insight.
Blockunity Regime Monitoring (BRM)Efficiently analyze market conditions and detect overheating zones.
Regime Monitoring (BRM) is here to help you analyze the behavior of financial markets. The oscillator allows you to observe when an asset’s trend is likely to reverse. The trend is also given by the indicator, as is the phase the market is in (trending or congested). The BRM also provides the state of the Choppiness Index, indicating whether or not the asset is about to enter a more volatile phase.
The Idea
The goal is to provide the community with a comprehensive tool for tracking market conditions, with a visual approach to identifying overheating zones.
How to Use
This tool consists of 3 main components:
An oscillator, which we describe in detail below.
Bar color to transcribe oscillator information directly onto the graph. To activate Bar Color, make sure the first option is checked in the settings. You must also uncheck "Borders" and "Wick" in your Chart Settings.
A panel that summarizes the status of various indicator information.
Elements
The Regime Monitoring oscillator
The oscillator provides several information points. First, it gives the market trend of the asset:
Green: Bullish trend.
Red: Bearish trend.
Blue: Contested trend.
It then indicates areas of overheating, where it is considered statistically probable that we will see a change in trend dynamics. These moments are shown in yellow.
This market trend is also indicated in the table.
If you see that the oscillator is above or below these limits, but not yellow, this is because we use a Choppiness Index to filter this information.
The "Enable Choppiness Index Filter" is enabled by default in the settings. So, if the Chop is discharged (under 38.2), then the oscillator's overheating state is ignored.
You can see the difference in the images below, the first with the filter and the other without:
Market Phase
We use a Vertical Horizontal Filter (VHF) to define the market phase the asset is in. This phase can have two values:
Trending: Assets evolve within a trend.
Congestion: The asset is in a moment of congestion.
Chop State
Visualize the Choppiness Index, indicating whether an asset is gearing up to enter a phase of increased volatility. It can be:
Charged: Chop is considered to indicate to be entering a stable phase.
Neutral: Chop is neutral and does not provide any specific information.
Discharged: Chop is considered to indicate a continuation of the trend.
In addition, with the "Show Choppiness Index" option, you can plot the Chop on the oscillator:
Other Settings
You can also modify the standard Regime Monitoring parameters (Lookback, Smoothing, Limits), display or hide certain components, and change all the colors.
How it Works
Regime Monitoring's main oscillator is established as follows:
We calculate the percentage of times the closing price was higher than the opening price. This is then divided by a lookback period, which in this case defaults to 20. This calculation gives a probability of the current regime.
Market Forecast w/ Signals [QuantVue]The Market Forecast With Signals Indicator is an upgraded version of the popular ThinkorSwim platforms Market Forecast. This upgraded version utilizes stochastic oscillators, moving averages, and momentum calculations to find potential buying and selling opportunities.
Stochastic Oscillator
The indicator calculates three variations of the Fast Stochastic Oscillator for different time periods:
🔹Intermediate: Calculated over a medium-term period (default 31 bars).
🔹Momentum: Calculated over a short-term period (default 5 bars).
🔹Near Term: Calculated over a very short-term period (default 3 bars).
These calculations involve finding the highest and lowest values within their respective periods and comparing the current close to this range.
Moving Average Smoothing
The results of the Fast Stochastic Oscillator for the Intermediate and Near Term are then smoothed using a Simple Moving Average (SMA):
🔹Intermediate: 5-period SMA of the Intermediate Stochastic Oscillator.
🔹Near Term: 2-period SMA of the Near Term Stochastic Oscillator.
Momentum Indicator
A custom momentum calculation is performed, using the recent high and low prices over four periods.
Display
The indicator plots the smoothed Intermediate, Near Term, and custom Momentum calculations as separate lines on the chart.
Trading Signals
While the original indicator plots the lines mentioned above, the Market Forecast w/ Signals goes a step further by identifying key moments when nuanced signals fire. The built in alerts and visual aids make spotting these trading opportunities a breeze.
Clusters - Bullish and Bearish clusters are identified based on the convergence of all three lines (Intermediate, Near, and Momentum) above 80 (Bearish) or below 20 (Bullish).
The background color of the chart changes to indicate these clusters, aiding in quick identification of market extremes.
Trend Reversals - Marked with labels on the chart, this is based on the direction of the cluster (bullish or bearish) and the subsequent price movement crossing a threshold determined during the cluster formation.
Divergences - Divergences between the Near Term line and price highs/lows are detected using pivot points. These divergences are then plotted as lines on the chart, highlighting potential discrepancies between price action and momentum, which can signal reversals.
Indicator Features:
🔹Custom Colors
🔹Show/Hide Signals
🔹Alerts
Give this indicator a BOOST and COMMENT your thoughts!
We hope you enjoy.
Cheers!
RSI-Divergence Goggles [Trendoscope®]🎲 Introducing the RSI-Divergence Goggle
🎯 Revolutionizing Divergence Analysis in Trading
While the concept of divergence plays a crucial role in technical analysis, existing indicators in the community library have faced limitations, particularly in simultaneously displaying divergence lines on both price and oscillator graphs. This challenge stems from the fact that RSI and other oscillators are typically plotted in a separate pane from the price chart. Traditional Pine Script® indicators are confined to a single pane, thus restricting comprehensive divergence analysis.
🎯 Our Innovative Solution: RSI on the Price Pane
The RSI-Divergence Goggle breaks through these limitations. Our innovative approach involves plotting the RSI directly onto the price pane within a movable and resizable widget. This groundbreaking feature allows for the simultaneous drawing of zigzag patterns on both price and the oscillator, enabling the effective calculation and visualization of divergence lines on both.
🎯 The Foundation: Our Divergence Research and Rules
Our journey into divergence research began three years ago with the launch of the "Zigzag Trend Divergence Detector." The foundational rules established with this script remain pertinent and form the basis of all our subsequent divergence-based indicators.
🎯 Understanding Divergence: Key Concepts
Divergence Varieties : We identify two main types - Bullish Divergence (and its hidden counterpart) occurs at pivot lows, while Bearish Divergence (and its hidden version) appears at pivot highs.
Contextual Occurrence : Bullish divergence is a phenomenon of downtrends, whereas bearish divergence is unique to uptrend. Conversely, hidden bullish divergence arises in uptrends, and hidden bearish divergence in downtrends.
Oscillator Behavior : In standard divergence scenarios, the oscillator lags behind price, signaling potential reversals. In hidden divergence cases, the oscillator leads, suggesting trend continuation.
🎯 Visual Insights: Divergence and Hidden Divergence
For a clearer understanding, refer to our visual guides:
🎯 A Word of Caution
While divergence is a powerful tool, it's not a standalone guarantee of trend reversals or continuations. We recommend using these patterns in conjunction with support and resistance levels, as demonstrated in our "Divergence Based Support Resistance" implementation.
🎯 Using the RSI-Divergence Goggles
Upon applying the indicator to your chart, you'll be prompted to select two corner points, defining the widget's placement and size. This widget is the stage for your RSI plotting and divergence calculations. Choose these points carefully to ensure they encompass your area of interest without overlapping important price bars.
An example as below.
🎯 Innovative Features:
Plotting RSI: RSI values are scaled from 0 to 100 within the widget. This unique plotting may not align with individual bar values, but pivot labels and tooltips provide detailed RSI and retracement ratio information.
Zigzag and Pivots: Our adjusted RSI plots determine the zigzag pivot highs and lows, which may not always correspond with visible price pivots. However, calculations based on close prices ensure minimal deviation.
Divergence Display: Divergence types are identified following our established rules, with a simple moving average employed to discern the prevailing trend.
🎯 Trend Detection Mechanism
A simple moving average is used as base for determining the trend. If the difference between moving averages of the alternate pivots is positive, then the sentiment is considered to be uptrend. Else, we consider the sentiment to be in downtrend.
This is a simple method to identify trend, implemented via this indicator. The indicator does not provide alternative methods to identify trend. This is something that we can explore in the future.
🎯 Interactive and Customizable
The RSI-Divergence Goggle isn't just a static tool; it's an interactive feature on your chart. You can move or resize the widget, allowing for dynamic analysis and focused study on different chart segments.
Major Currency RSI Indicator (MCRSI)Experience the power of multi-dimensional analysis with our Multi-Currency RSI Indicator (MCRSI). This innovative tool allows traders to simultaneously track and compare the Relative Strength Index (RSI) of eight different currencies in a single chart.
The MCRSI calculates the RSI for USD (DXY), EUR (EXY), JPY (JXY), CAD (CXY), AUD (AXY), NZD (ZXY), GBP (BXY), and CHF (SXY), covering a broad range of the forex market. Each RSI line is color-coded for easy differentiation and equipped with labels at the last bar for a clutter-free view.
Our indicator is designed with user-friendly customization features. You can easily adjust the length of the RSI and the time frame according to your trading strategy. It also handles gaps in the chart data with the barmerge.gaps_on option, ensuring accurate and consistent RSI calculations.
Whether you are a novice trader seeking to understand market dynamics better or an experienced trader wanting to diversify your technical analysis, the MCRSI offers a unique perspective of the forex market. This multi-currency approach can help identify potential trading opportunities that could be missed when analyzing currencies in isolation.
Harness the power of multi-currency RSI analysis with our MCRSI Indicator. It's time to step up your trading game!
Features:
Tracks 8 different currencies simultaneously
Color-coded RSI lines for easy identification
Customizable RSI length and time frame
Handles gaps in chart data
Last bar labels for a clutter-free view
Ideal for forex traders of all experience levels
How to Use:
Add the MCRSI to your TradingView chart.
Adjust the RSI length and time frame as needed.
Monitor the RSI lines and their intersections for potential trading signals.
Happy trading!
Advanced Dynamic Threshold RSI [Elysian_Mind]Advanced Dynamic Threshold RSI Indicator
Overview
The Advanced Dynamic Threshold RSI Indicator is a powerful tool designed for traders seeking a unique approach to RSI-based signals. This indicator combines traditional RSI analysis with dynamic threshold calculation and optional Bollinger Bands to generate weighted buy and sell signals.
Features
Dynamic Thresholds: The indicator calculates dynamic thresholds based on market volatility, providing more adaptive signal generation.
Performance Analysis: Users can evaluate recent price performance to further refine signals. The script calculates the percentage change over a specified lookback period.
Bollinger Bands Integration: Optional integration of Bollinger Bands for additional confirmation and visualization of potential overbought or oversold conditions.
Customizable Settings: Traders can easily customize key parameters, including RSI length, SMA length, lookback bars, threshold multiplier, and Bollinger Bands parameters.
Weighted Signals: The script introduces a unique weighting mechanism for signals, reducing false positives and improving overall reliability.
Underlying Calculations and Methods
1. Dynamic Threshold Calculation:
The heart of the Advanced Dynamic Threshold RSI Indicator lies in its ability to dynamically calculate thresholds based on multiple timeframes. Let's delve into the technical details:
RSI Calculation:
For each specified timeframe (1-hour, 4-hour, 1-day, 1-week), the Relative Strength Index (RSI) is calculated using the standard 14-period formula.
SMA of RSI:
The Simple Moving Average (SMA) is applied to each RSI, resulting in the smoothing of RSI values. This smoothed RSI becomes the basis for dynamic threshold calculations.
Dynamic Adjustment:
The dynamically adjusted threshold for each timeframe is computed by adding a constant value (5 in this case) to the respective SMA of RSI. This dynamic adjustment ensures that the threshold reflects changing market conditions.
2. Weighted Signal System:
To enhance the precision of buy and sell signals, the script introduces a weighted signal system. Here's how it works technically:
Signal Weighting:
The script assigns weights to buy and sell signals based on the crossover and crossunder events between RSI and the dynamically adjusted thresholds. If a crossover event occurs, the weight is set to 2; otherwise, it remains at 1.
Signal Combination:
The weighted buy and sell signals from different timeframes are combined using logical operations. A buy signal is generated if the product of weights from all timeframes is equal to 2, indicating alignment across timeframe.
3. Experimental Enhancements:
The Advanced Dynamic Threshold RSI Indicator incorporates experimental features for educational exploration. While not intended as proven strategies, these features aim to offer users a glimpse into unconventional analysis. Some of these features include Performance Calculation, Volatility Calculation, Dynamic Threshold Calculation Using Volatility, Bollinger Bands Module, Weighted Signal System Incorporating New Features.
3.1 Performance Calculation:
The script calculates the percentage change in the price over a specified lookback period (variable lookbackBars). This provides a measure of recent performance.
pctChange(src, length) =>
change = src - src
pctChange = (change / src ) * 100
recentPerformance1H = pctChange(close, lookbackBars)
recentPerformance4H = pctChange(request.security(syminfo.tickerid, "240", close), lookbackBars)
recentPerformance1D = pctChange(request.security(syminfo.tickerid, "1D", close), lookbackBars)
3.2 Volatility Calculation:
The script computes the standard deviation of the closing price to measure volatility.
volatility1H = ta.stdev(close, 20)
volatility4H = ta.stdev(request.security(syminfo.tickerid, "240", close), 20)
volatility1D = ta.stdev(request.security(syminfo.tickerid, "1D", close), 20)
3.3 Dynamic Threshold Calculation Using Volatility:
The dynamic thresholds for RSI are calculated by adding a multiplier of volatility to 50.
dynamicThreshold1H = 50 + thresholdMultiplier * volatility1H
dynamicThreshold4H = 50 + thresholdMultiplier * volatility4H
dynamicThreshold1D = 50 + thresholdMultiplier * volatility1D
3.4 Bollinger Bands Module:
An additional module for Bollinger Bands is introduced, providing an option to enable or disable it.
// Additional Module: Bollinger Bands
bbLength = input(20, title="Bollinger Bands Length")
bbMultiplier = input(2.0, title="Bollinger Bands Multiplier")
upperBand = ta.sma(close, bbLength) + bbMultiplier * ta.stdev(close, bbLength)
lowerBand = ta.sma(close, bbLength) - bbMultiplier * ta.stdev(close, bbLength)
3.5 Weighted Signal System Incorporating New Features:
Buy and sell signals are generated based on the dynamic threshold, recent performance, and Bollinger Bands.
weightedBuySignal = rsi1H > dynamicThreshold1H and rsi4H > dynamicThreshold4H and rsi1D > dynamicThreshold1D and crossOver1H
weightedSellSignal = rsi1H < dynamicThreshold1H and rsi4H < dynamicThreshold4H and rsi1D < dynamicThreshold1D and crossUnder1H
These features collectively aim to provide users with a more comprehensive view of market dynamics by incorporating recent performance and volatility considerations into the RSI analysis. Users can experiment with these features to explore their impact on signal accuracy and overall indicator performance.
Indicator Placement for Enhanced Visibility
Overview
The design choice to position the "Advanced Dynamic Threshold RSI" indicator both on the main chart and beneath it has been carefully considered to address specific challenges related to visibility and scaling, providing users with an improved analytical experience.
Challenges Faced
1. Differing Scaling of RSI Results:
RSI values for different timeframes (1-hour, 4-hour, and 1-day) often exhibit different scales, especially in markets like gold.
Attempting to display these RSIs on the same chart can lead to visibility issues, as the scaling differences may cause certain RSI lines to appear compressed or nearly invisible.
2. Candlestick Visibility vs. RSI Scaling:
Balancing the visibility of candlestick patterns with that of RSI values posed a unique challenge.
A single pane for both candlesticks and RSIs may compromise the clarity of either, particularly when dealing with assets that exhibit distinct volatility patterns.
Design Solution
Placing the buy/sell signals above/below the candles helps to maintain a clear association between the signals and price movements.
By allocating RSIs beneath the main chart, users can better distinguish and analyze the RSI values without interference from candlestick scaling.
Doubling the scaling of the 1-hour RSI (displayed in blue) addresses visibility concerns and ensures that it remains discernible even when compared to the other two RSIs: 4-hour RSI (orange) and 1-day RSI (green).
Bollinger Bands Module is optional, but is turned on as default. When the module is turned on, the users can see the upper Bollinger Band (green) and lower Bollinger Band (red) on the main chart to gain more insight into price actions of the candles.
User Flexibility
This dual-placement approach offers users the flexibility to choose their preferred visualization:
The main chart provides a comprehensive view of buy/sell signals in relation to candlestick patterns.
The area beneath the chart accommodates a detailed examination of RSI values, each in its own timeframe, without compromising visibility.
The chosen design optimizes visibility and usability, addressing the unique challenges posed by differing RSI scales and ensuring users can make informed decisions based on both price action and RSI dynamics.
Usage
Installation
To ensure you receive updates and enhancements seamlessly, follow these steps:
Open the TradingView platform.
Navigate to the "Indicators" tab in the top menu.
Click on "Community Scripts" and search for "Advanced Dynamic Threshold RSI Indicator."
Select the indicator from the search results and click on it to add to your chart.
This ensures that any future updates to the indicator can be easily applied, keeping you up-to-date with the latest features and improvements.
Review Code
Open TradingView and navigate to the Pine Editor.
Copy the provided script.
Paste the script into the Pine Editor.
Click "Add to Chart."
Configuration
The indicator offers several customizable settings:
RSI Length: Defines the length of the RSI calculation.
SMA Length: Sets the length of the SMA applied to the RSI.
Lookback Bars: Determines the number of bars used for recent performance analysis.
Threshold Multiplier: Adjusts the multiplier for dynamic threshold calculation.
Enable Bollinger Bands: Allows users to enable or disable Bollinger Bands integration.
Interpreting Signals
Buy Signal: Generated when RSI values are above dynamic thresholds and a crossover occurs.
Sell Signal: Generated when RSI values are below dynamic thresholds and a crossunder occurs.
Additional Information
The indicator plots scaled RSI lines for 1-hour, 4-hour, and 1-day timeframes.
Users can experiment with additional modules, such as machine-learning simulation, dynamic real-life improvements, or experimental signal filtering, depending on personal preferences.
Conclusion
The Advanced Dynamic Threshold RSI Indicator provides traders with a sophisticated tool for RSI-based analysis, offering a unique combination of dynamic thresholds, performance analysis, and optional Bollinger Bands integration. Traders can customize settings and experiment with additional modules to tailor the indicator to their trading strategy.
Disclaimer: Use of the Advanced Dynamic Threshold RSI Indicator
The Advanced Dynamic Threshold RSI Indicator is provided for educational and experimental purposes only. The indicator is not intended to be used as financial or investment advice. Trading and investing in financial markets involve risk, and past performance is not indicative of future results.
The creator of this indicator is not a financial advisor, and the use of this indicator does not guarantee profitability or specific trading outcomes. Users are encouraged to conduct their own research and analysis and, if necessary, consult with a qualified financial professional before making any investment decisions.
It is important to recognize that all trading involves risk, and users should only trade with capital that they can afford to lose. The Advanced Dynamic Threshold RSI Indicator is an experimental tool that may not be suitable for all individuals, and its effectiveness may vary under different market conditions.
By using this indicator, you acknowledge that you are doing so at your own risk and discretion. The creator of this indicator shall not be held responsible for any financial losses or damages incurred as a result of using the indicator.
Kind regards,
Ely
Easy RSI Trend - The trend is your friend till the endThis indicator detects the trend for you and keeps you out of choppy markets. It does not give you a signal, rather it tells you for what kind of signals to look for on the top right of the screen: "Only Longs" or "Only Shorts"
If there is no trend or if a trend is overextended (overbought, oversold) it tells you: "No trade allowed"
The indicator does this by scanning the 4h and daily RSI. Both are displayed in a small table in the bottom right of the screen. The upper cell is the 4h RSI and the other the daily RSI value.
AGAIN: This indicator does not give you a signal. It only tells you the direction in which you should trade. It should be used with an indicator or a strategy that gives you a clear signal.
VWAP Oscillator (Normalised)Thanks:
Thanks to upslidedown for his VWAP Oscillator that served as the inspiration for this normalised version.
Core Aspects:
The script calculates the VWAP by considering both volume and price data, offering a comprehensive view of market activity.
Uses an adaptive normalization function to balance the data, ensuring that the VWAP reflects current market conditions accurately.
The oscillator includes customizable settings such as VWAP source, lookback period, and buffer percentage.
Provides a clear visual representation of market trends.
Usage Summary:
Detect divergences between price and oscillator for potential trend reversals.
Assess market momentum with oscillator’s position relative to the zero line.
Identify overbought and oversold conditions to anticipate market corrections.
Use volume-confirmed signals for enhanced reliability in trend strength assessments.
OneThingToRuleThemAll [v1.4]This script was created because I wanted to be able to display a contextual chart of commonly used indicators for scalping and swing traders, with the ability to control the visual representation on the charts as their cross-overs, cross-unders, or changes of state happen in real time. Additionally, I wanted the ability to control how or when they are displayed. While looking through other community projects, I found they lacked the ability to full customize the output controls and values used for these indicators.
The script leverages standard RSI/MACD/VWAP/MVWAP/EMA calculations to help a trader visually make more informed decisions on entering or exiting a trade, depending on their understanding on what the indicators represent. Paired with a table directly on the chart, it allows a trader to quickly reference values to make more informed decisions without having to look away from the price action or look through multiple indicator outputs.
The main functionality of the indicator is controlled within the settings directly on the chart. There a user can enable the visual representations, or disable, and configure how they are displayed on the charts by altering their values or style types.
Users have the ability to enable/disable visual representations of:
The indicator chart
RSI Cross-over and RSI Reversals
MACD Uptrends and Downtrends
VWAP Cross-overs and Cross-unders
VWAP Line
MVWAP Cross-overs and Cross-unders
MVWAP Line
EMA Cross-overs and Cross-unders
EMA Line
Some traders like to use these visual indications as thresholds to enter or exit trades. Its best to find out which ones work the best with the security you are trying to trade. Personally, I use the table as a reference in conjunction with the RSI chart indicators to help me decide a logical trailing stop if I am scalping. Some users might like the track EMA200 crossovers, and have visual representations on the chart for when that happens. However, users may use the other indicators in other methods, and this script provides the ability to be able to configure those both visually and by value.
The pine script code is open source and itself is fairly straightforward, it is mostly written to provide the ultimate level of control the the user of the various indicators. Please reach out to me directly if you would like a further understanding of the code and an explanation on anything that may be unclear.
Enjoy :)
-dead1.
RSI MFI MultiTimeframe Oversold/OverboughtHello Traders,
This indicator is designed to easily visualize the overbought/oversold states of RSI and MFI across multiple timeframes.
The indicator is very straightforward.
The deeper the red, the closer it is to 0, and the deeper the green, the closer it is to 100. The intermediate values are rendered in a transparent gray to focus on the key regions.
However, I understand that traders may have an interest in knowing the most recent state of the oscillator, whether it was overbought or oversold.
For this reason, I have included the 'Gradient Color' option in the color settings.
By turning off this option, you can easily see at a glance which region the oscillator was in most recently.
(Gradient Color Option Off)
In addition, I know that many traders are interested in the actual RSI/MFI values across multiple timeframes.
Thus, I have displayed the RSI/MFI values for each timeframe on the far right.
Furthermore, although the name of this indicator is RSI MFI MultiTimeframe Oversold/Overbought, I have also included the Stochastic RSI as an option, as I find it personally useful.
Feel free to use it if you find it helpful.
Unbound RSIUnbound RSI
Description
The Unbound RSI or de-oscillated RSI indicator is a novel technical analysis indicator that combines the concepts of the Relative Strength Index (RSI) and moving averages, applied directly over the price chart. This indicator is unique in its approach by transforming the oscillatory nature of the RSI into a format that aligns with the price action, thereby offering a distinctive view of market momentum and trends.
Key Features
Multi-Length RSI Analysis: Incorporates three different lengths of RSI (short, medium, and long), providing insights into the momentum and trend strength at various timeframes.
Deoscillation of RSI: The RSI for each length is 'deoscillated' by adjusting its scale to align with the actual price movements. This is achieved by shifting and scaling the RSI values, effectively merging them with the price line.
Average True Range (ATR) Scaling: The deoscillation process includes scaling by the Average True Range (ATR), making the indicator responsive to the asset’s volatility.
Optional Smoothing: Provides an option to apply a simple moving average (SMA) smoothing to each deoscillated RSI line, reducing noise and highlighting more significant trends.
Dynamic Moving Average (MA) Baseline: Features a moving average calculated from the medium length (default value) de-oscillated RSI, serving as a dynamic baseline to identify overarching trends.
How It’s Different
Unlike standard RSI indicators that oscillate in a fixed range, this indicator transforms the RSI to move in tandem with the price, offering a unique perspective on momentum and trend changes. The use of multiple timeframes for RSI and the inclusion of a dynamic MA baseline provide a multifaceted view of market conditions.
Potential Usage
Trend Identification: The position of the price in relation to the different deoscillated RSI lines and the MA baseline can indicate the prevailing market trend.
Momentum Shifts: Crossovers of the price with the deoscillated RSI lines or the MA baseline can signal potential shifts in momentum, offering entry or exit points.
Volatility Awareness: The ATR-based scaling of the deoscillated RSI lines means the indicator adjusts to changes in volatility, potentially offering more reliable signals in different market conditions.
Comparative Analysis: By comparing the short, medium, and long deoscillated RSI lines, traders can gauge the strength of trends and the convergence or divergence of momentum across timeframes.
Best Practices
Backtesting: Given its novel nature, it’s crucial to backtest the indicator across different assets and market conditions.
Complementary Tools: Combine with other technical analysis tools (like support/resistance levels, other oscillators, volume analysis) for more robust trading signals.
Risk Management: Always use sound risk management strategies, as no single indicator provides foolproof signals.
